Knot invariants of the SnapPy census knots

Kenneth L. Baker Department of Mathematics, University of Miami, Coral Gables, FL 33146, USA k.baker@math.miami.edu Jan Philipp Bohl ETH Zurich, Rämistrasse 101, 8092 Zurich, Switzerland jpbohl@protonmail.com Marc Kegel Humboldt-Universität zu Berlin, Rudower Chaussee 25, 12489 Berlin, Germany. kegemarc@math.hu-berlin.de, kegelmarc87@gmail.com Duncan McCoy Départment de Mathématiques, Université du Québec à Montréal, Canada mc_coy.duncan@uqam.ca Léo Mousseau Humboldt-Universität zu Berlin, Rudower Chaussee 25, 12489 Berlin, Germany. leo.mousseau@t-online.de David Suchodoll Humboldt-Universität zu Berlin, Rudower Chaussee 25, 12489 Berlin, Germany. suchodod@math.hu-berlin.de  and  Nicolas Weiss Humboldt-Universität zu Berlin, Rudower Chaussee 25, 12489 Berlin, Germany. nicolas.alexander.weiss@gmail.com
(Date: March 10, 2024)
Abstract.

not too abstract

Key words and phrases:
Knot invariants, SnapPy census knots, algorithms in knot theory
2020 Mathematics Subject Classification:
57K10; 57K14, 57K16, 57K18, 57K32
Table 1. Notational conventions used in this paper
[Sorted alphabetically by first column]
Common Objects

D

A knot diagram

K

A knot

L

A link

M,N

Manifolds

Σ

A spanning surface of a knot

Numerical Invariants

c(D), c(K), c(L)

The crossing number of a diagram, knot, or link

cc3(K)

The crosscap number for a knot K in S3

𝒩(K),𝒩(L)

The Morse–Novikov number of a knot, or link

br(K)

The bridge number of a knot

gT(K)

The Turaev genus

s(K)

The Rasmussen s-invariant

τ(K)

The τ-invariant

Polynomial Invariants

JK(n,t)

The n-th colored Jones polynomial of a knot K

JK(t)

The Jones polynomial of a knot K

NW: Question: Should we indicate above whether an invariant is used for a knot, link or diagram by writing c(D),c(K),c(L) etc.? Yes

1. Introduction

While knot theory, the study of isotopy classes of embeddings S1S3, can be traced back to prehistoric times, its mathematical investigation began in the 19th century with the work of Gauss, Kelvin, and Tait [84, 226, 216]. The most natural and easiest way to present knots is via their diagrams. Apart from having an actual 3-dimensional model of a knot in space, a knot diagram is the most natural way to study and analyze knots.

Therefore, it might not be surprising that knots have been tabulated and ordered for centuries according to the complexity of their diagrams in terms of their crossing numbers [215, 141, 142, 143, 54, 43, 185, 189, 220, 105, 106, 37, 225]. The current state of the art are Burton’s and Thistlethwaite’s papers [37, 225] that classify all knots with at most 20 crossings. Furthermore, in the last decades, the combined work of the mathematical community has yielded to the computation of most invariants for the low-crossing knots. These computations have been collected at single places (most notably KnotInfo [144, 44] and Knot Atlas [21], but we also mention [206]) to form databases that turned out to be extremely useful for research in the last years. For example, KnotInfo was cited (due to Google Scholar at the time of writing) more than 500 times since its creation in 2011.

On the other hand, the approach of studying knots via their diagrams is somehow known to be the wrong perspective on knot theory for several reasons. Many typical properties and behaviors cannot (or only very rarely) be seen for low-crossing knots so we might get wrong impressions of general behavior by considering only low-crossing knots. In general, it remains also mysterious which properties of a diagram actually represent properties of the knot and vice versa.

The more fruitful approach pioneered in the last decades by ingenious work of many mathematicians, including Thurston [227], Gordon–Luecke [88], Haken [97], Weeks [234], Lackenby [133, 134], and Coward–Lackenby [55] to only mention a few, is to consider instead of a diagram the complement of a knot. Modern knot theory often studies the complement of a knot with techniques from 3-manifold topology to answer questions about knots (and in particular also about their diagrams).

In that light, it might be natural to also enumerate knots according to the complexity of their complement. Here a natural complexity is the minimal number of tetrahedra needed to ideally triangulate the complement. Dunfield [72], cf. [40], has tabulated all hyperbolic knot complements that can be built by gluing together at most 9 ideal tetrahedra. These 1267 knots are called census knots. This was done by classifying all exceptional slopes of the 1-cusped hyperbolic manifolds in the SnapPy census [102, 41, 36] and reading off which of those admit S3-fillings. However, due to its construction, the census knots do not come with any diagrams and thus it is not clear how to compute knot invariants or determine other properties of the census knots that require diagrams.

In recent work [16] we have written Python code that created knot diagrams of all census knots. For an alternative proof see [190]. In fact, we can see that many of these knots have no known diagrams with crossing numbers less than 200. This generalizes our previous work on the asymmetric census knots [9] and the older work in [39, 46, 45]. We expect the census knots to capture different phenomena and behavior than the low-crossing knots. In fact, we could already use the diagrams of the census knots to verify the existence of a hyperbolic L-space knot that is not braid positive [16] and answer some other open questions.

The goal of this paper is to announce computations of knot invariants of the census knots. We hope that these data will be useful for other research projects. All the data can be accessed online at the webpage to add. The computations were mainly done by using the standard programs for low-dimensional topology: SnapPy [61], Regina [34], their combination in SageMath [95, 194] and Mathematica [109]. In addition, all the code is available at the GitHub repository to add.

In the rest of this introduction, we will summarize our results and discuss questions and observations we made while studying the knot invariants of the census knots. In the main body of this paper, we will quickly discuss the invariants, and the available methods of their computations, and provide references. We hope that this document will be useful for researchers in knot theory looking for methods to explicitly compute knot invariants.

The rest of the introduction needs to be added later.

1.1. Computed invariants

1.2. New results

1.3. Verified conjectures

1.4. Curiosities, question and observations

Acknowledgements

We have received help from numerous other mathematicians on this project. We would like to express our sincere thanks to all of them.

Special thanks to the creators of KnotInfo, Charles Livingston and Allison H. Moore, for their assistance in creating the website and especially for sharing their code on which our website is based. Need to include their founding…

Furthermore, we thank Fabio Gironella, add the others for their help in starting this project, Tatiana Levinson for writing the code that was used for computing the signature functions, Juan González-Meneses and Marithania Silvero for their help in obstructing the final knots from being braid-positive and useful discussions, Mark C. Hughes and Justin Meiners for running their code to find quasi-positive braid words for some knots, Lukas Lewark for useful comments, and Jonathan Spreer for sharing his code for computing the crosscap numbers and interesting related discussion.

Miguel Marco for help with homflypt

TO DO: Add founding: BMS, ICERM,…

Add Datenstation HU Berlin

Peter Feller has found a SQP braid word of minimal braid index of m(09_39519).

Adrian Dawid

2. Nomenclature [Marc - done]

should explain prime decomposition theorem

As mentioned in the introduction, knots are collected in various tables, sorted, and named in different ways. Here we mention the most common ways to do so. Since every knot uniquely decomposes into prime summands [197] these lists only contain prime knots. On top of that there exist knots that are not isotopic to their mirror images. (The simplest such knot is the trefoil.) Thus these tables only list one chirality of the knots.

Since the decision problem for 3-manifolds is solved [132] and since knots are determined by their exteriors [88] we can algorithmically determine if a given knot appears in one of the tables. In practice, we use SnapPy to search for an isometry and if we cannot find such an isometry we use the verified volume (see Section 7.1) to distinguish knots. The results in Sections 2.12.4 are verified to be complete, however, the results in Section 2.5 might be incomplete since the verified volumes of the knots in Burton’s list was not computed for all (i.e. there might be census knot with crossing number 18 or 19 that are in Burton’s list but do not appear in our list).

2.1. SnapPy tetrahedral census name

Any cusped finite volume hyperbolic 3-manifold can be triangulated using ideal tetrahedra. The SnapPy census [102, 41, 36] consists of all cusped finite volume hyperbolic 3-manifolds that can be triangulated by at most 9 ideal tetrahedra. For example, the figure eight knot can be triangulated by gluing together two ideal tetrahedra [227]. In the SnapPy census, the figure eight knot is named m004. Here the first letter gives the number of tetrahedra. Here m means that the number of tetrahedra is at most 5. If the first letter is s, v, t, or o9, this means that the manifold can be triangulated by 6, 7, 8, or 9 tetrahedra, respectively. The second number displays the lexicographical order among the manifold with the same letter, where we first order by volume and then by the lengths of the shortest geodesics.

2.2. Census knot name

Dunfield [72], cf. [40], has tabulated all knot complements in the SnapPy census. These 1267 knots are called census knots. In the census knot notation the figure eight knot is named K2_1, where the K2 indicates that its complement can be triangulated by 2 ideal tetrahedra (and not with fewer) and the second number is given by the order induced from the order of the tetrahedral census (based on the volume and the lengths of the shortest geodesics).

2.3. Rolfsen name

In [189] Rolfsen has published a list of all prime knots with diagrams of at most 10 crossings. In this notation, the figure eight knot is named by 4_1, where the first number gives the crossing number of the knot at hand. The second number is an index among knots with the same crossing number, where always the first knots are torus knots followed by twist knots. Also, the alternating knots are listed before the non-alternating knots. However, apart from this, the numbering seems to be arbitrary.

Rolfsen’s list is based on the earlier lists by Alexander–Briggs [7] and Conway [54] where a few errors have been corrected. However, neither the completeness nor the correctness of these lists were rigorously verified (as also remarked by Rolfsen himself in the footnote on Page 388 in [189]). And in fact, it turned out later that Rolfsen’s original list contained a double, the so-called Perko pair, as noticed by Perko [185]. The knots 10_161 and 10_162 (in Rolfsen’s original numbering) are in fact isotopic. There are different ways to resolve that mistake. Some people just deleted 10_162 and kept the indices of the other knots the same, in other sources the numbering was changed (and in some sources, the mistake was just kept). Unfortunately, there is not a commonly agreed way to resolve that issue. This has yielded to further mistakes [236, 75]. For other smaller mistakes and inconsistencies in Rolfsen’s original list, we refer to [206].

The first rigorous proof that this list is complete and correct was given when classifying all knots with at most 16 crossings by computer methods in [105] using the DT notation, see below. Here we follow the obvious solution (which is unfortunately only used by a minority of researchers in the field) and just do not use Rolfsen notation but instead use the DT notation when we want to refer to low-crossing knots. This is not just completely avoiding inconsistencies that appear when using the Rolfsen notation, or using a mix of notations when discussing knots with higher crossing numbers, but also gives credit to the researchers that first developed and implemented rigorous methods to tabulate knots.

2.4. DT name

The DT name of a knot is based on the Dowker–Thistlethwaite notation [70] of knot diagrams (see Section 2.4). The DT notation together with the solutions of the various Tait conjectures [215, 121, 163, 162, 221, 223, 93] can be used to effectively and rigorously enumerate all prime knot diagrams up to a certain crossing number. In the second step, one searches for isotopies of the knots represented by these diagrams to group them into sets of diagrams representing isotopic knots. In the last step, one computes knot invariants to show the correctness of the list from the previous step. This approach was done independently with slightly different methods (especially in the choice of invariants to distinguish knots) by different sets of authors and programs [105, 37, 225]. It turns out that all these classifications agree and thus are most likely correct. Currently, all prime knots with crossing number at most 20 are classified.

The DT name of the figure eight knot is K4a1. Here the K4 tells us that it is a knot with crossing number 4. The second letter is either a or n indicating if the knot is alternating or non-alternating. The last number is an index based on the lexicographical ordering of the minimal DT notation of the knot [70].

2.5. Burton name

The notation of Burton [37] displays more information about the knots. The figure eight knot in Burton’s notation is 4ah_1. In general, the name is of the form c[a/n][t/s/h]_i, where the first number c is the crossing number, the second entry indicates whether the knot is alternating or non-alternating, the third entry tells us if the knot is a torus, satellite or hyperbolic knot and the last entry is an integer that sorts the knots within each of these classes by the structure in the non-hyperbolic case and roughly by volume in the hyperbolic case.

3. Presentations

In this section, we should discuss which programs can compute which presentations and take what as input.

3.1. Braid word [Marc - done]

Braids were introduced in the work of Artin [11, 10]. An n-braid b consists the isotopy class of n disjoint properly embedded intervals ci, for 1in, in a cylinder [0,1]×D2 with endpoints in (0,0,i/(n+1)) and (1,0,σ(i)/(n+1)) and such that the first coordinate is strictly increasing. Here σ is some permutation of [1,,n] that depends on the braid b. An example is shown in Figure 1.

One can multiply two n-braids b1 and b2 by gluing the right part of the braid b1 to the left part of the braid b2. This makes the set Bn consisting of all n-braids into a group with neutral element the n-braid consisting of n straight lines (of constant z-coordinates). Algebraically, the braid group is generated by, the so-called Artin generators. The i-th Artin generator σi, for i{1,,n1}, is the n-braid that consist of just straight lines except the lines i and i+1 (counted from top to bottom) which make a half right-handed twist. Each braid can be presented by a word in the σi and their inverses.

We use the notation as for example used in SnapPy [61] which presents a braid word as a list of integers, where the natural numbers present the Artin generators and the negative numbers their inverses. We refer to Figure 1 for an example.

Refer to caption
Figure 1. Left: A 4-braid with braid word [1,2,3,2,1,2,1,3]. Right: A diagram of its closure.

define index of a braid

Braids are closely related to knots and links. From a given braid one can form its closure by connecting the endpoints of the braid as shown in Figure 1 to create a link. Alexander [8] has shown that any link arises as the closure of a braid. Although the braid presentation is not unique. Markow has described exactly which braids have isotopic closures [150].

Further information on braids can for example be found in [24, 186].

We list for any census knot a braid word. The braid words were first constructed in [16]. We have always tried to display a braid word of minimal index and if possible one that is (strongly / quasi) positive or negative, if such a word exists. Note that there exist braid positive knots such that no positive braid word has minimal braid index [158]. However, among the census knots we could not find such an example. Although the computations of all braid indices is not finished.

Mention other ways to present braids. For example alphabetical.

3.2. PD code [Leo]

A Planar Diagram (PD) code (resp. notation) of a link diagram is a list of 4-tuples of integers from which the link diagram can be recovered. origin of this notation Given a link diagram D, a PD code can be obtained as follows:

Pick a starting point on the link in the diagram. Now go along the orientation of the link component on which the point was chosen and label the edges (starting with 0) each time the link component goes over or under a crossing. Now further label the edges by choosing a point on a different component and repeating this process. Now for each crossing, a 4-tuple is obtained by listing the label on each edge starting with the incoming lower edge and going counterclockwise, see Figure X for an example. Therefore each integer appearing in the PD code corresponds to an edge, and each 4-tuple corresponds to a crossing.

Conversely, such a PD-code determines a link diagram.

Figure 2. Obtaining a PD-code of a diagram of the negative trefoil: [(1,5,2,6),(3,1,4,6),(5,3,6,2)]

Many mathematical software programs, like SnapPy, Sage, add more? which work with links can create a link diagram given a PD code and can also return a PD code of a given link diagram.

We also want to mention Knotfolio, a browser-based program for drawing and manipulating knots and links, which can generate a PD code given a drawing or a picture of a link diagram. add citation

left to do: add citations, make example figure nice, add the origin of this notation

3.3. DT code [Nicolas, Open for Review]

The Dowker–Thistlethwaite (DT) code (resp. notation) for a knot diagram was introduced by Dowker and Thistlethwaite in [69] where they proved that for prime knots, the knot can be recovered from the DT code up to reflection. To see that chirality detection fails simply consider the trefoil, see Figure 4 where in both cases the DT code will be [4,5,6] when starting the traversal in the same way as indicated in the figure. Why does it not work for connected sums? NW: The wikipedia article points out that if we have have connected sums then there is the chirality issue for each component. that should maybe be briefly discussed

To obtain it, fix an orientation of the knot diagram, and, in order of traversal, label each crossing by 1,2n, where n=c(K) is the number of crossings. Note that each crossing receives both an even and an odd label, which is clear when considering the partial traversal starting and ending at a fixed crossing.

Now, add a negative sign to each even label at an over-crossing. Ordered by the odd part, one obtains the sequence of labels (1,e1),,(2n1,e2n1). The DT code of the diagram is then obtained by collecting the even labels in the order of the odd parts. The diagram in Figure 3 illustrates the procedure.

Refer to caption

Figure 3. A knot diagram with DT code [-6,10,-12,-2,4,-8]

See also Section 2.4 on the DT name.

3.4. (Extended) Gauss code [Nicolas, Done - Open for Review]

The Gauss code of a diagram is obtained by labelling the vertices, each only once, in some order of traversal and then noting down their occurrence always with a sign denoting over- resp. under-crossing. As it doesn’t additionally capture the orientation of crossings it also cannot distinguish chiral knots. See Figure 4 for the example of the trefoil knot.

Refer to caption

Figure 4. Both the left- and right-handed trefoil knot can be described by the Gauss code [1,-2,3,-1,2,-3]. For the extended Gauss code we have [1,-2,3,-1,-2,-3] on the left and [1,-2,3,1,2,3] on the right.

To be able to reconstruct the knot diagram exactly, one may use the extended Gauss code. After labelling the crossings as before, one then records the label on each first visit with the sign ±1 for an over vs under crossing. On the second visit, the sign ±1 denotes a left- vs. right-handed crossing. We refer again to Figure 4 for illustration.

4. 3-dimensional properties

4.1. Alternating [Jan - Updated March 24]

An alternating diagram of a knot, is a diagram where over and under crossings alternate as we move along the projection of the knot. A knot is called alternating if there exists an alternating diagram for this knot. It has long been an open question, whether there exists a non-diagramatic description of alternating knots. Recently, two independent works [92, 107] provided a topological characterisation of alternating knot exteriors positively answering the above question. Both works also provide practical algorithms to determine whether a knot is alternating based on a triangulation of the knot exterior. Maybe we should also mention the tait conjecture and that this yields an algorithm just using the decision problem. We did not make use of this algorithm as the implementation is not straightforward.

We determined the alternating status of census knots in a 2-step approach, first we searched for alternating diagrams using SnapPy [61]. We randomly modified known diagrams of census knots, simplified the diagrams and then checked whether they are alternating. It is known that reduced? alternating diagrams have minimal crossing numbers among all diagrams of a knot [164, 222, 122], which is why we simplify the diagrams before checking the alternating status. For the remaining knots, we then tried to find obstructions to being alternating. The most useful in our case was the connection between the Alexander polynomial and knot Floer homology for alternating knots detailed below.

Theorem 4.1 (Theorem 1.3 in [177])

Given a knot KS3, its signature σ, and its symmetrized Alexander polynomial

ΔK(t)=a0+s>0as(Ts+Ts),

its knot Floer homology is supported only in dimensions s+σ/2, i.e. it is homologically σ-thin, and given by

HFK^i(S3,K,s){|as|𝑖𝑓i=s+σ/20𝑒𝑙𝑠𝑒

For knots with known knot Floer homology, we then checked whether the Alexander polynomial and knot homology satisfy the above equivalence. Knots whose invariants do not satisfy this equivalence cannot be alternating. An analogous result also holds for the Khovanov homology and the Jones polynomial

Theorem 4.2 ([148])

Given a knot KS3, its signature σ, and its Jones polynomial

JK(t)=kaktk,

its reduced Khovanov homology is supported only in dimensions s+σ/2, i.e. it is homologically σ-thin, and given by

Kh~s+σ/2,s(K){|as|𝑖𝑓i=s+σ/20𝑒𝑙𝑠𝑒

Finally we also made use of the following theorem

Theorem 4.3 (Theorem 1.5 in [180])

If KS3 is an alternating L-space knot, the it is a (2,2n+1) torus knot for some integer n.

All census knots are hyperbolic and thus cannot be torus knots. This implies that all L-space census knots cannot be alternating. Since the L-space status of census knots was already computed in [9], we could exclude further knots from being alternating. Other properties of alternating knots which can used as obstructions are the following

  • The Seifert genus of an alternating link is the degree of the symmetrized Alexander polynomial and a Seifert surface obtained from applying Seiferts algorithm to an alternating diagram realizes the Seifert genus [161, 60].

  • The writhe of an alternating knot is a knot invariant, and amphichiral alternating knots have zero writhe [223].

4.2. Quasi-alternating [Marc - done]

Quasi-alternating links are defined recursively as follows. The set of quasi-alternating links QA is the smallest set of links such that

  1. (1)

    the unknot is in QA, and

  2. (2)

    if a link L has a crossing c in a diagram D such that both smoothings D0 and D1 at c represent links L0 and L1 in QA with det(L0)+det(L1)=det(L), then L is also in QA.

This notion generalizes alternating links since any non-split alternating link is quasi-alternating [174]. Its importance stems from the result that the double branched cover branched along a quasi-alternating link is a Heegaard Floer L-space [174]. On the other hand, there exist quasi-alternating knots that are not alternating [144], thin knots that are not quasi-alternating [90], cf. [89], and thick (i.e. non-thin) knots whose double branched covers are L-spaces, see for example [110]. Other infinite families of non-split thick knots whose double branched covers are L-spaces are given in [14].

For the census knots, we could completely determine which are quasi-alternating and which are not. To show that a knot is quasi-alternating, we have first used the available information on low-crossing knots [144, 114] and then have searched recursively via the definition for a quasi-alternating description. The latter works well, if the knot at hand has a diagram with relatively few crossing but did not work well if the knots had many crossings. Other ways to construct quasi-alternating knots are given in [48, 50].

As obstructions, we have used the following results:

Theorem 4.4 (Manolescu–Ozváth [147], Ozváth–Rasmussen–Szabó [176])

If K is quasi-alternating then it is Khovanov homology and knot Floer homology thin. (And also thin in even Khovanov homology.)

Here a link is called thin if the corresponding (reduced) homology theory is supported in only two (one) diagonals. From the spectral sequence relating Khovanov homology and knot Floer homology [71] it follows that a knot Floer thin link is also Khovanov thin.

Theorem 4.5 (Baldwin [20])

If K has braid index 2 or 3 then K is quasi-alternating if and only if it is Khovanov homology thin.

Theorem 4.6 (Teragaito [217], Chbili–Qazaqzeh [188])

If K is quasi-alternating then deg(QK)det(K)1 (det(K)2 if K is not a torus knot), where QK is the Q-polynomial.

In our normalization the Q-polynomial is given by QK(z)=FK(1,z) for F the Kauffman polynomial, see Section 9.5.

Theorem 4.7 (Teragaito [218])

If K is quasi-alternating then degz(FK)det(K)1 (det(K)2 if K is not a torus knot), where FK is the Kauffman polynomial.

Theorem 4.8 (Teragaito [219])

If K is quasi-alternating then deg(QK)degz(FK)det(K)3.

Theorem 4.9 (Lidman–Sivek [139])

If K is quasi-alternating and hyperbolic with det(K)7 then K is a 2-bridge knot (and in particular alternating).

Theorem 4.10 (Khovanov [126])

If K is adequate and not alternating then K is Khovanov homology thick and thus not quasi-alternating.

Theorem 4.11 (Issa [110])

Quasi-alternating Montesinos knots are classified.

Theorem 4.12 (Boileau–Boyer–Gordon [26])

If K is braid positive then K is Khovanov homology thick and thus cannot be quasi-alternating.

Other obstructions from the Jones polynomial and related invariants are given in [51]. Further results can be found in [219]

4.3. Almost alternating [Jan]

A knot K is called almost alternating, if it is not alternating and has a diagram D which can be transformed into an alternating diagram by a crossing change. Note that being almost-alternating is equivalent to having having Turaev genus 1 [63]. Also do we want almost alternating or almost-alternating? I chose almost alternating to be consistent with knot info. By the definition above we can exclude all alternating knots from being almost-alternating. Another obstruction is given by the Jones polynomial. are there other obstructions? i havent found any others, but will have another look

Theorem 4.13 (Thm 1.3 from [66])

Given an almost alternating link L and its Jones polynomial

JL(t)=i=mnaiti

with an0am, then either |am|=1, |an|=1 or both.

We can look for almost alternating knots by starting with a diagram D, changing a crossing and checking if the resulting diagram is alternating. This can be repeated for all crossings of the diagram D. For a given knot K, one can also use different diagrams D for the search.

4.4. Adequacy [Nicolas]

The class of adequate knots form an extension of the alternating knots. They are similarly defined via the existence of an adequate diagram which realizes the knot. In particular, adequate diagrams realize the crossing number of the knot, see for example [224]. Conversely, a minimal diagram of an adequate knot is adequate. They were introduced by Lickorish and Thistlethwaite in [138]. Are there examples of adequate knots that are not alternating?

4.4.1. Definition

Given a crossing in a diagram, we may consider its positive (also A or leftwards) respective the negative (also B or rightwards) resolution from the perspective of the over-crossing strand as depicted in Figure 5.

Refer to caption

Figure 5. The two orientation-independent resolutions of a crossing

This definition is independent of a choice of orientation. After applying any type of resolution to all of the crossings one obtains a collection of planar, disjoint S1’s. The behaviour of the number of these circles under different resolutions leads to the definition of adequacy. Observe also that the number of circles must necessarily change when the resolution of a crossing is changed.

Definition 4.14

Given a knot diagram, we call it positively adequate if its positive resolution is maximal. In other words, changing the resolution of any crossing decreases the number circles. Similarly, it is called negatively adequate if its negative resolution is maximal.

A knot diagram is called adequate if it is both positively and negatively adequate.

A knot is called adequate if it admits an adequate diagram.

Note that the above definition translates mot à mot to the setting of links.

4.4.2. Characterization of Adequacy and Obstructions

In [2], Abe relates Turaev genus of an adequate knot to the width of its Khovanov homology, culminating in the following theorem:

Theorem 4.15

[2, Thm. 3.2] Let K be a knot with an adequate diagram D, then

gT(K)=gT(D)=1/2(c(D)|s+D||sD|)+1=ω𝐾ℎ(K)2=c(K)𝑠𝑝𝑎𝑛VK(t).

In the above theorem, gT denotes the Turaev genus, c() the crossing number, |s+D| and |sD| the number of circles in positive respective negative resolution, and VK(t) the Jones polynomial.

Later, in [119] Kalfagianni presents a complete characterization adequate knots in terms of the colored Jones polynomial JK(n,t).

Theorem 4.16

[2, Thm. 1.1] Let K be a knot an JK(n,t) its colored Jones polynomial of degree n. Then, by [83] we have

𝑠𝑝𝑎𝑛tJK(n,t)=s1(n)n2+s2(n)n+s3(n)

where the si(n) are periodic for n larger than some nK.

Then K is adequate if and only for some n>nK, we have

s1(n)=c(K)/2 and s2(n)=1gT(K)c(K)/2.

Furthermore, every diagram of K that realizes c(K) is adequate and it also realizes gT(K).

4.4.3. Adequacy Results

There are 81 census knots know to be alternating and hence also adequate. NW: Is alternatingness known for all? yes, that should be discussed in that section Further 588 census knots were obstructed from being adequate via the result by Abe on the Turaev genus and the Khovanov width.

Finally, we did not make use of the Jones slopes characterization by Kalfagianni as the computation of the colored Jones polynomials still appears infeasible for the census knots.

4.5. Homogenicity [Nicolas, Done - Open for Review]

Homogenicity was originally defined by Cromwell in [58] for links, even though here we phrase everything in terms of knots: We first define homogenicity of knot diagrams as homogenicity of their Seifert graph which then gives the criterion for a knot to be homogeneous:

Definition 4.17

Homogenicity is first defined as a property of a graph with signed edges. Decompose G first into its blocks by cutting along all cut vertices of G. If v is a cut vertex and G1,,Gk are the connected components of Gv, then the result of cutting at v is the collection of subgraphs G1v,,Gkv where the edges in {v}×V|Gi are adjoint as well. The graph G is then call homogeneous if all its blocks only contain edges of the same sign.

For a knot diagram, consider the Seifert surface obtained via the Seifert algorithm [201]. The way its obtained is encoded in the Seifert graph G=(V,E). Consider as vertices the Seifert disks enclosed by the crossings. The signed edges correspond to the crossings along which the disks are glued, the sign representing the sign of the crossing.

NW: In case the Seifert graph is defined somewhere already before, then add a reference to that section.

A knot diagram is then called homogeneous if its Seifert graph is homogeneous. A knot in turn is called homogeneous if it admits a homogeneous diagram.

4.5.1. Conditions and Obstructions for Homogenicity

For the Census knots we have been able to determine the homogenicity status for 990 out 1267 knots. The obstruction and characterizations we used in this process are mainly from Cromwell’s original paper and we will shortly mention them below.

Every positive knot is homogeneous for the simple reason that its Seifert graph will only contain positive edges. It was also shown by Baader in [12] that homogenicity is the link between positivity and strong quasipositivity. Later Abe generalized in [4] to the following characterization of positivity, relating it furthermore to the τ-invariant, Rasmussen s-invariant, and 3-genus g3 and smooth 4-genus g4.

Theorem 4.18 ([4, Thm 1.3.])

Let K be a knot. Then (1)-(4) are equivalent.

  1. (1)

    K is positive.

  2. (2)

    K is homogeneous and strongly quasipositive.

  3. (3)

    K is homogeneous, quasipositive and g4(K)=g(K).

  4. (4)

    K is homogeneous and τ(K)=s(K)/2=g4(K)=g(K).

NW: Should we place this here or link to positivity? both

Cromwell does also observe that alternative knots, which were defined by Kauffman in [120] and generalize alternating knots, are homogeneous too.

The main part of Cromwell’s paper then amounts to studying properties of homogeneous links. In particular, we mention the following two that were useful for us, where P(L)(v,z) denotes the HOMFLY polynomial of a link L and (L):=P(1,z) is its Conway polynomial.

Theorem 4.19 ([58, Thm. 4])

Let L be a homogeneous link and let χ(L) denote the maximal Euler characteristic over all orientable surfaces spanning L. Then

  1. (1)

    𝑚𝑎𝑥𝑑𝑒𝑔zP(L)=1χ(L)

  2. (2)

    𝑚𝑖𝑛𝑑𝑒𝑔vP(L)1χ(L) with equality if and only if L is positive.

Theorem 4.20 ([58, Cor 5.1, Cor 5.2])

If L is a homogeneous link and the leading coefficient of (L) is ±1 then L has order at most 2𝑚𝑎𝑥𝑑𝑒𝑔(L).

Furthermore, for a homogeneous link the leading coefficient of (L) is ±1 if and only if L is fibered.

Eventually, Cromwell presents the list of non-alternating homogeneous prime knots up to order 10 with the exception of five knots. For them their status was determined by Stoimenov in his paper on knots of genus two [205].

4.5.2. Homogenicity results

The above results allowed us to determine and obstruct homogenicity for 990 knots as follows:

  1. (1)

    787 (NW: Is this the currently correct number?) census knots are known to be positive.

  2. (2)

    46 census knots are alternating, hence alternative.

  3. (3)

    9 non-alternating homogeneous Census knots are found in the list of Cromwell.

  4. (4)

    For 80 census knots, homogenicity was obstructed by the knowledge of the HOMFLY polynomial and the Euler characteristic respectively 3-genus.

  5. (5)

    A further 67 knots were obstructed by the corollary on the Conway polynomial.

  6. (6)

    The positivity characterization of Abe obstructed 1 further Census knot.

Note most of the obstructions above used either directly or indirectly the HOMFLY polynomial which he have not yet determined for all knots (NW: correct?) or relied on bounds of the 4-genus or crossing number. We assume that determining these missing invariants or having better bounds will allow for obstructing homogenicity for further knots.

4.6. 2-Bridge and Montesinos knots [Marc - done]

2-bridge links were defined and classified by Schubert [199], who attributed it to Seifert. They are known to be exactly the links in S3 whose double branched covers are lens spaces. Any 2-bridge link is alternating by [54].

A generalization of 2-bridge links are Montesinos links [154], the links in S3 whose double branched covers are Seifert fibered spaces [238]. For detailed information and more literature on 2-bridge and Montesinos links we refer to [33, Chapter 12]. Every pretzel or 2-bridge link is a Montesinos link.

For determining if a given knot K is a 2-bridge or Montesinos knot and determining their 2-bridge and Montesinos notations we proceed as follows.

  • We use SnapPy to build the double branched cover DBC(K) branched along K.

  • We use SnapPy inside Sage to try to verify that DBC(K) is hyperbolic. If this is the case, K is not a Montesinos or 2-bridge knot.

  • If SnapPy does not succeed in verifying the hyperbolicity of DBC(K), we apply Dunfield’s recognition code [72] (using the combined power of regina and SnapPy) on DBC(K).

  • If this recognizes v as a Seifert fibered space we know that K is a Montesinos knot and from the Seifert invariants of DBC(K) we can read off the Montesinos notation of K. Here a Seifert fibered space

    SFS[S2:(2,1)(3,1)(7,6)]

    in regina’s notation corresponds to the Montesinos invariants

    (1,2),(1,3),(6,7).
  • If DBC(K) is the lens space L(p,q), K is the 2-bridge knot K(p/q).

  • If DBC(K) is a JSJ manifold, K is not a Montesinos knot. (But if DBC(K) is a graph manifold, K is an arborescent knot.)

For the census knots, this was enough to determine the type of all double branched coverings. In total, we have:

  • 77 knots have lens space double branched coverings and thus they are 2-bridge,

  • 114 have other Seifert fibered spaces as double branched coverings and they are Montesinos knots,

  • 9 have graph manifolds double branched coverings and the knots are arborescent knots,

  • 6 have as double branched coverings a JSJ manifold, and

  • all 1061 remaining knots have hyperbolic double branched coverings.

4.7. Large or Small [Nicolas, Done - Open for Review]

Definition 4.21 (Large and Small Knots)

We call a knot K in S3 large if its exterior M (the complement of an open tubular nhd of K) contains a closed essential surface.

For completeness we define essentiality of a properly embedded surfaces in a compact orientable irreducible 3-manifold with boundary following [202]. Immediately afterwards we specialize to knot exteriors in S3.

Definition 4.22 (Essential Surface)

In the context mentioned above, a properly embedded non-empty connected surface ΣM is called essential if it satisfies:

  1. (1)

    Σ is bicollared.

  2. (2)

    The induced morphism π(Σ)π(X) is injective (i.e. Σ is an injective surface).

  3. (3)

    Σ is not boundary-parallel.

  4. (4)

    Σ is not a sphere.

Note that one then also may define a compact orientable irreducible 3-mfld to be Haken if it contains an essential surface. Then every knot exterior is Haken by means of a minimal genus Seifert surface. The condition to be large, however, is stronger. Not every knot exterior contains a closed essential surface.

Also note that if we restrict our attention to knot exteriors, the definition of a closed essential surface simplifies as follows, where injectivity is also equivalent to incompressibility:

Definition 4.23 (Closed Essential Surfaces in Knot Exteriors in S3)

A closed essential surface Σ in the knot exterior M of KS3 is an orientable, embedded, injective and not boundary-parallel closed surface of positive genus.

4.7.1. Algorithms for computing closed essential surfaces

A first algorithm for testing for the existence of closed essential surfaces in compact irreducible closed 3-manifold M was provided Jaco and Oertel in [115] in 1984. This algorithm works with a handle body structure of M, constructs candidate surfaces using normal surface theory and then test for injectivity by checking incompressibility of the double of the respective surface.

In 2012 Burton, Coward, and Tillmann in [35] then discuss an improved algorithm for computing closed essential surfaces in knot exteriors respectively knot complements, which allows for extension to other kinds of 3-manifolds as they point out and then later discuss in [38]. To improve run time, they look for closed essential surfaces actually in the non-compact knot complement which however allows for (in particular in our case) much smaller ideal triangulations and also works with quadrilateral coordinates (see also the discussion below in (6.6.4)).

We used the algorithm by [35] to check which of census knots are large or small.

4.8. Fibered [Leo]

A knot K is said to be fibered if its complement admits the structure of a fiber bundle over S1. The Alexander polynomial of a fibered knot is always monic and its degree is always twice g3(K). These facts are generalized in the way that knot Floer homology detects fiberedness [86, 170].

Theorem 4.24 (Ni, Ghiggini)

A knot K is fibered if and only if

rankHFK^(K,g(K))=1.

4.9. Seifert matrix [Leo]

Given an compact connected oriented embedded surface FS3, we can find a regular neighborhood homeomorphic to F×[1,1] in which F is identified with F×0. We can now define a map i:H1(F,)H1(S3F,) by sending a homology class of a curve α to α×{1}. The Seifert pairing of F is then defined as the bilinear form

(4.1) H1(F,)×H1(F,),(a,b)lk(i(a),b)

Given a set of curves αi for i=1,,2g generating H1(F,), the matrix associated to the Seifert pairing is called a Seifert matrix of F. Now a Seifert matrix of a link L is a Seifert matrix of a Seifert surface of L (also assume that F has no closed components). For more about Seifert matrices see [201]), glaube ich ( cite).

Using the SnapPy built in function ”.seifert matrix()” we computed a Seifert matrix for each census knot. This built in function uses the algorithm described in J. Collins, “An algorithm for computing the Seifert matrix of a link from a braid representation.” (2007) replace by citation after making the knot isotopic to a braid closure.

left to do: citations and maybe comment on the computed seifert matrices of census knots? average size for example? The size of the Seifert Matrix impacts the computability of the lower bound on the Morse–Novikov number. Since .seifert matrix() rarely gives an optimal size of 2g×2g, I would note that.

4.10. Concordance [Leo]

Two knots K and J are called concordant if there is a smoothly embedded disc in D4 with boundary K#J. This defines an equivalence relation on the set of oriented knots up to isotopy. Knot concordance is a heavily studied equivalence relation on knots and is still an active field of research. For a survey on knot concordance see (Livingston survey on knot concordance).

There are many knot invariants which are in fact so called concordance invariants, since they are invariant under concordance.

Many invariants remain unchanged under concordance (so called concordance-invariants). Notable concordance invariants are the signature, tau, s invariant, epsilon invariant, arf invariant. Furthermore we can distinguish two knots K and J up to concordance by obstructing K#J from being slice via the fox Milnor condition (see slice genera section) and the SnapPy built in function ”HKL obstruction()”.

For the census knots, we want to know if there are concordant pairs of knots, and obstruct as many non-concordant pairs as possible. We did this by simply checking for every pair, and eliminating pairs who admit different concordance invariants and whose connected sum with the reverse of the mirror is not slice by HKL or the fox milnor condition. Out of the total of x pairs of census knots, we were able to obstruct y from being concordant. There are z pairs left which might be concordant.

Two knots K and J can be shown to be concordant, by explicitly constructing a slice disc for K#J.

To the best of our knowledge, there is no implemented algorithm that attempts to show that two knots are concordant. This can be done by modifying a knot diagram by the three Reidemeister moves and another move called ”saddle move”.

The natural question is therefore which pairs of census knots are concordant and which are not. Showing that two knots are concordant must be done by constructing the described embedded disc. This can also be done by modifying a knot diagram by the three Reidemeister moves and another move called ”saddle move”.

to do:

4.11. Knot group [Marc - done]

The knot group G(K) of a knot K is the fundamental group π1(S3K) of the knot complement. It follows from a result of Waldhausen [233], cf. [5], that the isomorphism type of a knot group determines the equivalence class of a prime knot. But in practice, presentations of knot groups are hard to distinguish. On the other hand, there exist connected sums with isomorphic knot groups that are not equivalent [189]. For every census knot, we list a simple presentation of its knot group, which we obtained via SnapPy.

5. Positivity notions [Marc - done]

5.1. Definitions and relations

There exist several different positivity notions for links. We study the following versions, where we only discuss the case of knots, but all definitions and results extend naturally to links.

  • A knot is called braid positive if it arises as the closure of a positive braid (in terms of its Artin generators), see Section 3.1.

  • A knot is called positive if it admits a diagram in which all crossings are positive.

  • A knot is called strongly quasipositive if it is the closure of a braid of the form

    iwi*[ni]*wi1,

    where ni is a positive integer and wi is of the form [niki,,ni2,ni1].

  • A knot is called quasipositive if it is the closure of a braid of the form

    iwi*[ni]*wi1,

    where ni is a positive integer and wi is an arbitrary braid.

  • A knot is called almost braid positive if it arises as the closure of a braid in which all but one generator are positive.

  • A knot is called almost positive if it admits a diagram in which all but one crossings are positive.

define quasipositve crossing

These notions are closely related but all are not equal. We have the following inclusions that are all not equalities.

Theorem 5.1
  • {braid positive}{𝑝𝑜𝑠𝑖𝑡𝑖𝑣𝑒}{strongly quasipositive}{𝑞𝑢𝑎𝑠𝑖𝑝𝑜𝑠𝑖𝑡𝑖𝑣𝑒}

  • {braid positive}{almost braid positive}{almost positive}{strongly quasipositive}

The only nontrivial inclusions are the statements that every positive knot is strongly quasipositive [193] and that every almost positive knot is strongly quasipositive [79].

To show that a knot fulfills one of the above positivity notions one can search for such a description. This usually works well by using SnapPy. But especially finding strongly quasipositive or quasipositive braid words for knots that are not (almost) braid positive can be quite challenging. Here the methods from [151, 108] have turned out to be useful and found some such descriptions.

Write here a few more details.

5.2. Obstructions

As obstructions, we use the following results.

Theorem 5.2 (Stallings [203])

If K is a braid positive knot then K is fibered.

Theorem 5.3 (Ito [111])

If K is a braid positive knot then Ito’s normalized version of the HOMFLYPT polynomial is positive (i.e. has only non-negative coefficients). In addition several coefficient of the HOMFLYPT polynomial can be expressed in terms of other invariants. We refer to [111] for the details.

Theorem 5.4 (Cromwell–Morton [57])

If K is an almost positive knot then there exists a positivity obstruction in terms of its HOMFLYPT polynomial. We refer to [57] for the details.

Theorem 5.5 (Van Buskirk [232])

If K is an almost positive knot then its Conway polynomial is positive.

Theorem 5.6 (Rudolph [191])

If K is strongly quasipositive then its 3-genus and smooth 4-genus agree, i.e. g3(K)=g4(K).

Theorem 5.7 (Hedden [101])

If a knot K is fibered then K is strongly quasipositive if and only if its 3-genus agrees with its Heegaard Floer tau invariant, i.e. g3(K)=τ(K).

Theorem 5.8 (Baader [13])

If K is quasipositive then g4(K)mindegv(HK), where HK denotes the HOMFLYPT polynomial of K and g4(K) its smooth 4-genus.

Theorem 5.9 (Boileau–Rudolph [27], Rudolph [192], Ozbagci [171])

For a 2-bridge knot, positivity, strongly quasipositivity and quasipositivity agree and are completely determined.

Theorem 5.10 (Buchanan [31, 32])

Various obstructions for positivity in terms of the Jones polynomial are presented in [31, 32].

Theorem 5.11 (Khovanov [126] and Kegel–Manikandan–Mousseau–Silvero [124])

Various obstructions for positivity in terms of its Khovanov homology are given in [126, 124].

Theorem 5.12 (Stoimenow [204])

Various obstructions for positivity and almost positivity in termes of knot polynomials are presented in [204].

Theorem 5.13 (Tagami [213])

If K is not positive but almost positive then its smooth 4-genus and its unknotting number are not 1.

5.3. Algorithmic detection of positivity notions

One of the importances of the above-studied positivity notions is that from such a positive description one can often directly read-off the 3-genus and the smooth 4-genus [58, 191]. The results are as follows.

  • If K is a braid positive knot that admits a positive braid word of braid index b and length c. Then the Seifert algorithm applied to the braid diagram yields a surface of minimal 4-genus, i.e.

    g3(K)=g4(K)=cb+12.
  • If K is a positive knot with a positive diagram with c crossings and s Seifert circles. Then the Seifert algorithm applied to the positive diagram yields a surface of minimal 4-genus, i.e.

    g3(K)=g4(K)=cs+12.
  • If K is a strongly quasipositive knot that admits a strongly quasipositive braid word of braid index b and cSQP strongly quasipositive bands. Then the Seifert algorithm applied to the braid diagram yields a surface of minimal 4-genus, i.e.

    g3(K)=g4(K)=cSQPb+12.
  • If K is a quasipositive knot that admits a quasipositive braid word of braid index b and cQP quasipositive bands. Then the braid diagram yields an immersed ribbon surface of minimal 4-genus

    g4(K)=cQPb+12.

From that, we can deduce that some of these notions are algorithmically detectable.

Theorem 5.14 (Baker–Motegi [18])

Braid positivity is algorithmically decidable.

This follows from the proof of Proposition 6.1 [18]. However, since that argument seems to be largely unnoticed, we include here a proof.

Proof.

If K is a braid positive knot with a positive braid word of braid index b and length c. Then we have 2g3(K)1=cb. On the other hand, we can assume that c2(b1). (Otherwise, we can reduce the braid to smaller complexity.) Putting these two together we obtain 4g3(K)c. But the 3-genus is algorithmically computable, see Section 6.4. There exist only finitely many possible diagrams of a given crossing number. And the decision problem for knots is solved [132]. Thus we can simply compute the 3-genus of K, list all braid positive diagrams of crossing number at most 4g3(K), and then check if any of these diagrams represent K. ∎

That positivity is decidable follows for example from work of Stoimenow, we also include a proof here.

Theorem 5.15 (Stoimenow [209])

Positivity is algorithmically decidable.

Proof.

Lemma 3.1 in [209] says that any positive knot admits a positive diagram with crossing number c such that v3(K)c, where v3(K) denotes the third Vassiliev invariant which can be computed from the Jones polynomial of K. Thus we can list all positive diagrams of crossing number at most v3(K) and check if any of these diagrams represent K. ∎

For strongly quasipositve knots it seems that the result has not appeared in print, but the argument is very similar to braid positivity argument.

Theorem 5.16

Strongly quasipositivity is algorithmically decidable.

Proof.

If K is a braid positive knot with a strongly quasipositive braid word of braid index b and cSQP strongly quasi-positive bands. Then we have 2g3(K)1=cSQPb. On the other hand, we can assume that cSQP2(b1). (Otherwise, we can reduce the braid to smaller complexity.) Putting these two together we obtain 4g3(K)cSQP. Now we see that any strongly quasi-positive band contributes at most 2(b2)+1 many crossings to the braid diagram. Thus we have 16g3(K)cSQP2>c and we can conclude as above. ∎

For a quasipositive knot, we can deduce as above that 4g4(K)cQP. But the 4-genus is not known to be algorithmically computable and there is no bound on cQP in terms of c. Thus the following remains an open question.

Question 5.17

Is quasipositivity decidable?

We should also mention, that all the above-mentioned algorithms are not useful in practice, as their running time is factorial. So we can also ask for algorithm that work in practice.

5.4. Computational results

We have applied the above obstructions and searched for positivity descriptions. This has answered the various positivity statuses of most census knots. When we say a certain census knot K is for example braid positive. Then we mean that it is either braid positive or that its mirror is (i.e. it is braid negative). Conversely, we say that a census knot is not braid positive if it is neither braid positive nor braid negative. We adopt similar notations for the other positivity notions.

The braid positivity status was determined for all census knots. Here we could either find a braid positive (or negative) description or one of the above obstructions was working. For a single census knot, the knot K9_263 (K14n27326 in the DT notation), none of the above obstructions was working. Here Marithania Silvero has provided an argument for obstructing it from being braid positive: K9_263 is a 3-braid with braid word [1,2,2,1,1,1,2,2,1,1,2,2,1,2]. Then Theorem 1.3 of [210] tells us that if a braid-positive knot K is the closure of a 3-braid then there exists a positive 3-braid whose closure is K. We compute that the 3-genus of K is 5. The 3-genus g3 of the closure of a positive braid is given by 2g3(K)1=cb, where b is the braid index and c the crossing number of that braid. In our case, this yields c=12. In particular, it follows that if K is braid-positive it has crossing number at most 12. But as said above K is the knot K14n27326 with crossing number 14 and thus cannot be braid-positive.

For the other positivity notions, we could not completely answer the positivity statuses. Here are the remaining cases:

Table 2. Knots with unclear positivity status
K8_283 K9_354 K9_449 K9_460
Table 3. Knots with unclear almost positivity status
K7_72 K8_91 K9_129 K9_179 K9_250 K9_308 K9_354 K9_360 K9_517
K9_636 K9_544
Table 4. Knots with unclear almost braid positivity status
K7_2 K7_72 K7_100 K8_2 K8_65 K8_91 K8_119 K8_135 K8_149
K8_165 K8_167 K8_242 K8_264 K8_273 K8_283 K9_2 K9_94 K9_129
K9_179 K9_191 K9_208 K9_244 K9_250 K9_260 K9_272 K9_278 K9_287
K9_292 K9_296 K9_299 K9_302 K9_308 K9_324 K9_325 K9_354 K9_360
K9_417 K9_436 K9_455 K9_489 K9_496 K9_517 K9_519 K9_525 K9_528
K9_544 K9_552 K9_555 K9_581 K9_582 K9_636 K9_665 K9_676 K9_691
K9_697
Table 5. Knots with unclear strongly quasipositivity status
K7_72 K7_84 K7_100 K7_104 K8_91 K8_101 K8_163 K8_173 K8_256
K8_269 K9_129 K9_146 K9_179 K9_246 K9_250 K9_265 K9_272 K9_304
K9_325 K9_347 K9_354 K9_355 K9_360 K9_489 K9_505 K9_510 K9_517
K9_531 K9_535 K9_557 K9_575 K9_673 K9_676
Table 6. Knots with unclear quasipositivity status
K6_8 K7_10 K7_19 K7_24 K7_72 K7_74 K7_84 K7_92 K7_100
K7_104 K7_114 K7_125 K8_9 K8_22 K8_44 K8_47 K8_48 K8_89
K8_91 K8_101 K8_103 K8_141 K8_145 K8_163 K8_173 K8_208 K8_230
K8_232 K8_240 K8_247 K8_252 K8_256 K8_269 K8_272 K8_287 K8_292
K8_295 K9_8 K9_22 K9_63 K9_72 K9_74 K9_129 K9_135 K9_146
K9_149 K9_172 K9_179 K9_231 K9_240 K9_246 K9_250 K9_259 K9_261
K9_265 K9_272 K9_281 K9_283 K9_304 K9_312 K9_321 K9_325 K9_335
K9_347 K9_354 K9_355 K9_360 K9_383 K9_395 K9_404 K9_415 K9_426
K9_432 K9_433 K9_435 K9_437 K9_444 K9_451 K9_489 K9_494 K9_505
K9_510 K9_517 K9_531 K9_532 K9_533 K9_535 K9_557 K9_564 K9_568
K9_571 K9_575 K9_588 K9_589 K9_592 K9_622 K9_634 K9_645 K9_651
K9_673 K9_675 K9_676 K9_686 K9_692 K9_700 K9_702 K9_707 K9_719
K9_720 K9_725 K9_736 K9_740

6. 3-dimensional numerical invariants

6.1. Arc index [Jan]

6.2. Braid index [Marc - done]

The braid index b(L) of a link L is the minimal index of a braid whose closure is L.

For upper bounds, we used SnapPy to find a braid word of small index. Alternatively one can also use [237] to search for diagrams with small number of Seifert circles (for example in sage), but that never yields a better upper bound.

Directly from the definition it follows that the bridge index is a lower bound for the braid index, see Section 6.3. The only knots with braid index 2 are 2-stranded torus knots. Since a hyperbolic knot is not a torus knot the braid index of a census knot is at least 3. The strongest available lower bound is the Morton–Franks–Williams bound in terms of the HOMFLYPT polynomial HK.

Theorem 6.1 (Morton [159], Franks–Williams [80])

Let d+ and d be the max and min degrees in v of the (v,z)-version of the HOMFLYPT polynomial of a knot K, then

d+d2+1b(K).

Furthermore, we know that the Morton–Franks–Williams bound is sharp for 2-bridge knots, for fibered, alternating knots [165] and for alternating knots without lone crossings [68, 67]. For T-links (or Lorentz links) the braid index is computable by [23]. Other bounds and computation methods for the braid index are given in [117, 77].

Note that the braid index is algorithmically computable [112]. However, this algorithm is not practical.

Currently, the braid index is only computed for about half of the census knots. This is partially because we do not have the HOMFLYPT polynomial for some census knots, see Section 9.4. On the other hand, the search for the upper bound on the braid index seems often to not give optimal results. Some of the braid words of minimal braid index were in fact found by hand. For example, the braid word of minimal braid index of 09_39519 was constructed by Peter Feller.

6.3. Bridge index [David]

In his paper [198], Schubert introduces a knot invariant to define a multiplicity of a knot that can be used in the prime decomposition of knots called the bridge index.

Definition 6.2 (bridge index)

Let K in S3 be a knot. Let ES2 be a sphere such that either side of the sphere forms a trivial tangle. The pair (K,E) is called an m-bridge presentation of K if #{EK}=2m. The number m is called the bridge number of (K,E). The minimal bridge number possible for K is called the bridge index.

Remark 6.3

This definition is useful for the set goal as it behaves well under the connected sum.

br(K1#K2)=br(K1)+br(K2)1

Schubert proved this result. Another proof can be found in [200].

The 2-bridge knots are of special interest as they are well understood by Schubert in [199]. All other classes have not yet been classified. However Coward proved in this paper [56] that an algorithm detecting the bridge index of hyperbolic knots exists. It has to the best of our knowledge not been implemented, yet.

The bridge index has a modern formulation in Morse theory.

Theorem 6.4

[33, Cor. 16.11] Let f:S3 be a Morse function. The number of maxima m(fK) is called the Morse number of (K,f). In this case:

b(K)=min{m(fK):f:S3}

Let D be a diagram of KS3. Let ω(D) be the number of generators in the fundamental group of π1(S3K) such that any relation corresponds to a Wirtinger relation. Theorem 1.3 in [25] proves that the Wirtinger number which is the minimum of ω(D) over all diagrams D of the knot K is equal to the bridge number. The paper also gives an algorithm computing ω(D) for a given diagram.

However, both results give rise to an easy upper bound by choosing an arbitrary diagram, to obtain the minimum one has to search through all diagrams, which is neither useful nor efficient. The strategy using these formulations is to randomly apply Reidemeister moves on a knot diagram and simplify it. But there is no algorithmic way to go through all diagrams of all census knots. Randomly finding the best, starting from a low-crossing diagram could result in a low-bridge diagram. One can only be sure if the calculated bridge number of a diagram is equal to a lower bound.

The paper [118] gives a lower bound on the bridge index coming from HFK.

Theorem 6.5

Let HFK be the minus version of knot Floer homology, a finitely generated module over the polynomial ring 𝔽2[v]. Let

Ordv(M)=min{kvkTor(M)=0}.

Then

Ordv(HFK(K))br(K)1.

The program by Peter Ozsváth and Zoltán Szabó [212] as given calculates HFK^. The authors of [118] used it to calculate new bridge indices for some low-crossing knots, though it does not seem practical for higher-crossing knots. To use the program for HKF requires some modification. In Lemma 5.1 [118], the authors prove that for L-space knots Ordv(K)=max{αi1αii=0,,2n} where αi are the non-zero degrees in the Alexander polynomial in decreasing order.

The modifications of the Ozsvàth and Szabó are not yet implemented. We did use the calculation via the Alexander polynomial for L-space knots.

A knot KS3 which is the closure of a positive braid containing a full twist of n-strands is called twist positive. The paper [131] shows in Theorem 1.3 that for twist positive L-space knots have equal bridge and braid index (see 6.2).

Lower bounds can be obtained, firstly from the data about 2-bridge knots (see 4.6) and the data given in KnotInfo [144, 44] and Knot Atlas [21].

6.4. 3-dimensional genus [Leo]

A Seifert surface of a link L is a compact connected oriented surface embedded into S3 such that its oriented boundary is L. The 3-dimensional genus (also called Seifert genus or 3-genus) of a link L is the minimal genus of a Seifert surface of it.

6.5. Canonical genus [David]

Let K be a knot in S3. A surface FS3 such that F=K is called Seifert surface. In his paper [201], Seifert gave an algorithm to construct such a surface. The canonical genus gc is the minimal genus of a Seifert surface obtained by this algorithm.

Definition 6.6 (Canonical genus)

Let KS3 be a knot. The canonical genus gc(K) is the minimum over all genera of surfaces obtained by the Seifert algorithm.

gc(K) =min{g=genus(F)|F is obtained by the Seifert algorithm}

There are families of knots for which the canonical genus and the 3-genus are equal.

  • alternating knots [161]

  • strongly quasipositive [78]

The 3-genus gives lower bounds. Another lower bound on the canonical genus is constructed in [159] given by the HOMLFY polynomial PK(v,z), namely

maxdegzPk(v,z)2gc(K).

The paper [29] proved that there exists a family for which Morton’s inequality is strict. However, there is a number of cases where it is proven to be an equality, as listed in their paper:

  • 12 or lower crossing knots [207]

  • alternating knots [59] [161]

  • homogeneous knots [58]

  • Whitehead double of 2-bridge knots [166] [231]

  • pretzel knots [28]

These cases have not yet been implemented in our code. First examples of strictness were found in [208] using a lower bound on the canonical genus obtained in [30]. It was proven that for hyperbolic knots

vol(S3K)<120gV0

where vol(S3K) denotes the hyperbolic volume of the complement of K, g is the canonical genus and V0 is the volume of the hyperbolic regular ideal triangulation.

Upper bounds were found by a detailed search for a Seifert surface using the Seifert algorithm. The results can be found with their respective PD-code on GitHub.

So far there are 372 of the census knots whose canonical genus is not solved. Implementing the equivalence of Morton’s equality and the lower bound from the hyperbolic volume might reduce that number.

6.6. 3-dimensional crosscap number [Nicolas, Done - Open for Review]

The 3d-crosscap number of a knot refers to the minimal genus of a non-orientable spanning surface in the S3-complement. We have computed the crosscap numbers for all of the census knots following an algorithm in Q-coordinates by [116]. An implementation of the algorithm was kindly provided to us by Jonathan Spreer.

6.6.1. Definition

Let KS3 be a knot and M:=S3𝒱K its compact complement. Then a spanning surface is a properly embedded connected surface ΣM with a single boundary component having algebraic intersection number ±1 with the meridian of K. With its filled boundary, ΣΣD2 is homeomorphic to either #gT2 where g=g(Σ) is its genus in the orientable case or #k2 where k=cc(Σ) is its crosscap number in the non-orientable case.

For a knot K, g3(K) denotes the minimal genus of an orientable spanning surface, and cc3(K) is the analog for non-orientable spanning surfaces.

6.6.2. Clark’s inequality

In [52] Clark originally defines the crosscap number of the knot and, based on the genus, defines the first bound of the crosscap number which is known as Clark’s inequality:

Proposition 6.7 (Clark’s inequality)

Let K be a knot. Then the following bound of the crosscap number by the genus holds:

cc3(K)2g3(K)+1

The proof is immediate: One starts with the Seifert surface which yields the minimum genus and makes it non-orientable by adding a simple twist along the boundary of it, which amounts to adding another 1-handle.

6.6.3. Searching for Spanning Surfaces

The framework for searching for spanning surfaces with specific properties is the theory of normal surfaces as developed by Haken in [98]. Here it is shown that normal surfaces are upto normal isotopy determined by the type of intersection (3 quadrilateral types and 4 triangular types) with each tetrahedron and that there are homogeneous linear inequalities determining whether a vector in the parameter space 7N actually admits a corresponding normal surface. Hence many papers study the cone and in particular the fundamental surfaces, which correspond to the Hilbert basis of the cone.

For finding the genus g3(K) an algorithm exists, as it was shown in [99] that a fundamental normal orientable surface of genus g3(K) exists for any triangulation of the complement.

However, it is not known, whether a non-orientable normal surface with crosscap number c(K) necessarily exists.

A first leading result is given by Burton and Ozlen under restriction to efficient suitable triangulations:

Theorem 6.8 (Burton and Ozlen, 2012)

Let K be non-trivial knot and 𝒯 be an efficient suitable triangulation of its complement. Then, either a non-orientable fundamental normal surface of crosscap number c(K) exists or else c(K){2g3(K),2g3(K)+1}.

This approach was completed by Jaco, Rubinstein, Spreer, and Tillmann in a more general context in [116] where in the inconclusive case the larger value holds.

Theorem 6.9 (Jaco, Rubinstein, Spreer, Tillmann, 2021)

Let M be the exterior of a non-trivial knot K in a closed 3-manifold N with [K]=0H1(N;2). Suppose that M is irreducible and contains no embedded non-separating torus and no embedded Klein bottle. Let 𝒯 be an efficient suitable triangulation of M. Then c(K)=min(A,B), where

  • A=min{1χ(Σ)|Σ a non-orientable fundamental spanning surface for K}

  • B=min{2χ(Σ)|Σ an orientable fundamental spanning surface for K}

Here A is the minimal crosscap number of the spanning fundamental surfaces and B=2g3(K)+1 based on the result that the minimal genus is attained among the fundamental normal surfaces.

Thus, this provides in principle an algorithm for determining the crosscap number of a knot in S3. In particular, the required efficient suitable triangulation can be obtained by first constructing a 0-efficient triangulation, as described in [113][Thm 5.15, 5.20] and then layering-on tetrahedra onto the boundary to make it also efficient suitable, where the additional condition is that the meridian has to be represented by a single boundary edge.

The problem, however, with the algorithm in this setting is that determining the Hilbert basis of the cone is largely infeasible due to the high dimension.

6.6.4. Q-Normal Coordinates

A parallel normal surface theory was proposed by Tollefson in [230]. He shows that it is sufficient to consider only the multiplicities of the intersections of quadrilateral type and that there are Q-matching equations whose solution space is a compact convex linear cell. The correspondence of Q-normal coordinates to normal surfaces is unique up to trivial components of the normal surface [230, Thm 1]. One then refers by Q-normal surfaces to surfaces represented by the vertices of the solution polytope.

This theory has the advantage of reducing the solution space from dimension 7N to 3N, however, it requires that the theory and algorithms need to be adapted to Q-coordinates.

For the crosscap number, this is also done in [116, Prop 24]:

Proposition 6.10 (Jaco, Rubinstein, Spreer, Tillmann, 2021)

Let M be the exterior of a non-trivial knot K in a closed 3-manifold N with [K]=0H1(N;2). Suppose that M is irreducible and contains no embedded non-separating torus and no embedded Klein bottle. Let 𝒯 be a 0-efficient suitable triangulation of M.

Suppose that amongst the Q-fundamental surface with a single boundary component, the maximal Euler characteristic is achieved by a spanning surface Σ for K. Then c(K)=min(A,B), where

  • A=min{1χ(Σ)|Σ is a non-orientable Q-fundamental surface for K}

  • B=min{2χ(Σ)|Σ is an orientable Q-fundamental surface for K}

The corresponding algorithm can be found explicitly in [116, Algorithm 25].

6.6.5. Implementational Aspects

In order to apply the algorithm by [116] to the census knots, we had to derive efficient suitable triangulations for them. Since the census knot collection is based on their ideal triangulation, we had to first finitize the triangulation to obtain a triangulation with a real boundary. Applying the standard simplification method provided by Regina, this already led to an efficient suitable triangulation in most cases. In all other cases, the only obstruction was that the meridian was not yet represented by one of the three boundary edges. In our cases, layering-on one additional tetrahedron was sufficient to resolve this.

There is also a Regina method meridian() which performs the layering to realize the meridian as a boundary edge.

6.7. Crossing number [Jan]

Given a knot diagram a crossing is a point where two strands overlap in the projection and the crossing number is the number of crossings in the diagram. The crossing number of a knot is then defined as the minimal crossing number over all diagrams of the knot. A general strategy to compute this invariant is to find lower bounds through invariants and obstructions and upper bounds by simplifying diagrams of the knot. When the lower and upper bounds agree we have determined the crossing number. Because the lower bounds are often not sharp, this strategy is not very fruitful in general. The simplest lower bound is given by the breadth of the Jones polynomial,

d+dc(K)

with d+ and d the maximal and minimal degrees of the Jones polynomial [162]. This bound can be improved by adding the Turaev genus to the left hand side [63]. The Jones polynomial lower bound can also be generalized to the Khovanov homology [214], such that

imax(K)imin(K)c(K)

with imax and imin the maximal and minimal degree where the Khovanov homology is supported for the knot K. The most useful bound in our computations comes from the HOMFLY polynomial [96]. Add description Given the HOMFLY polynomial P[v,z] of a knot, define e and E as the minimal and maximal degree in the v variable, analogously m and M for the z variable. We then have the lower bound

M+12(Ee)c(K).

This lower bound turned out to be the most useful, agreeing with the upper bound for 627 knots, about half of the census knots. The Jones lower bound is sharp for 81 knots and in particular for 64 knots for which the HOMFLY polynomial is not sharp.
We also used the classification of low crossing knots to either identify census knots among the low crossing knots or improve the lower bounds by comparing the hyperbolic volume of census knots with the hyperbolic volumes of low crossing knots. If none of the hyperbolic knots with crossing number n have the same hyperbolic volume as a census knot K, we know that this K cannot have the crossing number n. For this purpose, we used the low crossing knots classified for up to 16 crossings by Horsten-Thistlewaite-Weeks [105] and for up to 19 crossings by Burton [37].

6.8. Determinant [?]

6.9. Morse–Novikov number [David]

Definition 6.11

The Morse–Novikov number of a knot K is the minimal number of critical points of a regular Morse function from the knot complement to the meridian. It is denoted 𝒩(K).

𝒩(K)={imi(f)|f:S3KS1 is a regular Morse map }

It was introduced in [182]. Information on calculations of 𝒩(K) can be found in [87]. The main result is the following.

Proposition 6.12

For (M,γ) the complementary sutured manifold for a Seifert surface R, the handle number h(R) is defined by

h(R)=min{h(W)|(W,W) is a Heegaard splitting of (M,γ)}.

The Morse–Novikov number of an oriented knot K can be calculated by

𝒩(K)=2min{h(R)|R is a Seifert surface of K}.

The first author showed in [19] that using Goda’s version of the handle number h(R) we may assume R to be incompressible. In calculating the Morse–Novikov number, different strategies were used.

6.9.1. Fiberedness

It follows from definition that

  • 𝒩(K)=0 if and only if K is fibered

  • 𝒩(K) is even

The first case can be used as the Heegaard–Floer homology is known for the set of knots studied in this paper.

6.9.2. Tunnel number

The main theorem of [181] states that 𝒩(K)2t(K). Here t(K) denotes the tunnel number of the knot K (cf. 6.13). For census knots with t(K)2 there are just two possibilities, 𝒩(K){2,4}.

6.9.3. Nearly Fiberedness

Definition 6.13

A knot KS3 is called nearly fibered in the Heegaard–Floer sense if the following holds.

HFK^(S3,K,g(K);)2

The complement of the unique minimal Seifert genus surface has a sutured manifold decomposition (M,γ). It is classified in the paper [137] by the following cases.

  1. (M1)

    M is a solid torus and γ consists of four longitudes.

  2. (M2)

    M is a solid torus and γ consists of two curves of slope 2.

  3. (M3)

    M is the complement of the right handed trefoil and γ consists of two curves of slope -2.

The cases (M1) and (M2) can be shown to have h((M,γ))=1, thus by Proposition 6.12 for these cases 𝒩(K)=2, if K is not fibered. By Remark 2.1 in [137] the case (M1) is given for a nearly fibered knot K if the symmetrized Alexander polynomial of K has degree at most g(K)1. Thus in these cases for non-fibered knots K, it holds that 𝒩(K)=2.

There was an argument, that Ken mentioned, that the case (M3) cannot happen for census knots. Marc assumed that given (M3) has a trefoil exterior the knot could not have been hyperbolic. Though we used this in our calculations and results, I would like to denote this argument rigorously.

6.9.4. Morse–Novikov inequality

In [182], the authors describe an inequality for the Morse–Novikov number coming from Novikov homology, using higher Alexander polynomials, as follows. For b^1(K)=rank(H^1(K)) and q^1(K)=Tor(H^1(K)) for H1^s=0m1Λ^/γsΛ^ and γs=Δs/Δs+1 where Δs is the s-th Alexander polynomial. Given this, [182] shows the following.

Proposition 6.14
𝒩(K)2(b^1(K)+q^1(K))

Since we are working only with knots, it follows that b^1=0. So for our purpose, we have

𝒩(K)2#{γs is not zero with leading coefficient not one}
Definition 6.15

Let A be the Alexander matrix of a knot of size n×n. The s-th Alexander polynomial is the greatest common divisor of the determinants of all (ns)×(ns) minors of A.

This algorithm is implemented, though running slowly. The code is running in parallel, but the code for the (ns)×(ns)-minors is implemented recursively and runs in 𝒪((n2)!) which results in 8x8 matrices taking 24h. It is therefore essential to use the smallest possible Alexander matrix, i.e. optimally a 2g×2g matrix, where g is the 3-genus of the knot.

Further optimizations should include a lookup table for all minor determinants and be built up from the smallest matrix going up in size. Our code does not do that, calculating the biggest matrix first and going down in size.

6.10. topological 0-surgery along genus-1 knots

Most of the knots for which the Morse–Novikov number is still missing have genus equal to one. The Seifert-surface of a genus-1 knot becomes a torus in the topological 0-surgery along the knot. Therefore it has an essential torus and cannot be hyperbolic anymore. It follows that the knot and the surgery coefficient should appear in Dunfields list of exceptional fillings [72].

Further exploration make this explicit shows that if the knot is strongly invertible and the topological 0-surgery is of the type SFS A(p,q)/(glueing) it has Morse–Novikov number equal to two, if it is not fibered.

6.10.1. Calculation by Hand

Using the method described in [87] to calculate upper bounds for the handle number, a few missing Morse–Novikov numbers were calculated e.g. 𝒩(o9_43369)=2.

Remark 6.16

All missing knots have 3-genus equal to 1. Using that the Seifert matrix of a knot has det(SSt)=1, one can see that the lower bound coming from the Morse–Novikov inequality cannot be greater than 2.

Proof.

It is known that any knot K with g(K)=1 has a Seifert matrix of size 2×2. Let S=(abcd) be this Seifert matrix. From det(SSt)=1 is follows that (cd)2=1, i.e. d=c±1. Calculating the Alexander matrix A=SttS using d=c±1 yields the following.

A=(aatcct±tc±1ctbbt).

As Alexander polynomials, there is only det(A) and the the greatest common divisor of all determinants of all minors. In this case the determinants of all minors are just the entries themselves. Since gcd(c,c±1)=1 the only γs that can yield a contribution to the lower bound is the Alexander polynomial itself being nonmonic and nonzero. Thus the highest lower bound on the Morse–Novikov number for a knot of genus one can at most be 2. ∎

There is a remark in some book that the Morse–Novikov inequality never yields a bound greater than 2g(K), see [103]. But it is not proven. Is this easy? I was not able to replicate the proof. I guess dimension wise the Seifert matrix has at best 2g×2g thus there are 2g gcds of minor determinants. From there we get at most 4g as bound. I do not see where we can lose the 2.

Using the procedure above including our code for the low crossing knots produced 207 Morse–Novikov numbers that are not included in KnotInfo [144]. We also found two knots (K12a1202 and K12n881) such that 𝒩(K)=4. Both have genus 2.

Question 6.17

From [103]: Does there exist a knot K with 𝒩(K)>2g(K)?

So far, we have not found a counterexample.

There might be a connection between the Morse–Novikov number and the canonical genus being equal to the 3-genus. We can see that in cases where 𝒩 is unclear, the canonical genus differs from the 3-genus. In [29] the authors use sutured manifolds to construct a family. There might be a connection.

6.11. Thurston–Bennequin invariant [Jan]

The Thurston-Bennequin When there are two names, type ”- –” number is an invariant defined for a Legendrian knot L [85, see Definition 3.5.4], which is related to the self-linking number as follows

sl(L±)=tb(L)rot(L)

where L± is the positive or negative transverse push-off of L, rot is the rotation number and σ is a Seifert surface for L. A classic theorem by Bennequin proves the following inequality

sl(L,Σ)<=g(Σ)

where L is a transverse knot and Σ is a Seifert surface for L. Since more details Thus given a knot K any Legendrian knot representing K has TB number bounded from above by … We can thus define an invariant for knots as

tb¯=maxLtb(L)

where the maximum is taken over all Legendrian representatives of K.

To determine the Thurston-Bennequin invariant, we computed lower bounds by loading census knots into gridlink [62] which then generates a grid diagram (see [74]). This grid diagram always give a Legendrian representative and the program can then determine the corresponding TB Number. We then simplified the diagram inside gridlink and used the TB number of the resulting diagrams as a lower bound, implicitly assuming that simpler grid diagrams yield higher TB numbers. The upper bounds we used are all described in the following paper [169]. For braid-positive or quasi-positive knots, we also applied another strategy Fill this section

6.12. Torsion numbers [David]

The torsion number of a knot refers to the torsion part of the first homology of the p-th cyclic branched cover along a knot. They are used e.g. by Seifert [201] to get a lower bound for the genus of a knot.

Definition 6.18

Let Mp be the p-th cyclic branched cover along the knot K. Let H1(Mp;) be the first homology group of Mp. The torsion numbers of K are numbers ni such that

H1(Mp;)FiI/ni,

where F is a free abelian group.

To calculate the torsion numbers, there is the following result.

Theorem 6.19 ([201])

Let G be the matrix representing the homology of a leaf of the covering MpM. The matrix

P=Gp(GI)p

represents the first homology group of Mp. Here I is the identity matrix of the same size as G.

Let V be the Seifert matrix of the knot K. Seifert shows that G can be calculated as follows.

G=(VtV)1Vt

The Smith form of P yields the coefficients ni, i.e. the torsion numbers.

Remark 6.20

We have calculated the torsion numbers for all p up to 10 for all knots given in the python package snappy_15_knots. The table is built in the following form.

Knot p torsion numbers
s023 8 [279, 5301]
m103 6 [0,0]
v0319 5 []

The numbers in the brackets are the torsion numbers, i.e. the 8th cyclic covering of s023 has first homology group /279/5301. For an infinite cyclic covering we write 0, i.e. the 6th cyclic covering of m103 has first homology . Finally the trivial group is denoted by [], i.e. the 5th cyclic covering of v0319 has trivial first homology. We can see that all the information on the homology is given by the torsion numbers.

6.13. Tunnel number [Marc - done]

The tunnel number tn(K) of a knot K is defined to be the minimal number of properly embedded arcs (tunnels) a1,an in the knot exterior S3νK such that S3ν(Ka1an) is diffeomorphic to a solid handlebody. If we take any diagram D of K and introduce a tunnel at every crossing of D we obtain a handlebody. This shows that the tunnel number is well-defined and bounded from above by the crossing number of K.

Tunnel numbers were introduced in [53] where it was noticed that the tunnel number of a knot K is closely related to the Heegaard genus g(S3νK) of the knot exterior. Indeed, it holds that tn(K)=g(S3νK)1. This implies that rank(π1(S3K))1tn(K). In particular, it follows that the only knot with tunnel number 0 is the unknot. For surveys on tunnel numbers we refer to [195, 42]

To find upper bounds on the tunnel number, we can thus compute upper bounds on the Heegaard genus of the knot exterior. For that we use the retriangulation function in SnapPy to compute a presentation of the fundamental group of S3νK with a small number of generators and use Berge’s program heegaard [22] to realize the given presentation of the fundamental group as a Heegaard splitting. Like that, we have identified many census knots with tunnel number 1. For all other census knots we found that the tunnel number is at most 2. We refer to [9] for details on the computations.

In the second part, we search for lower bounds. For that, we use the following results and obstructions:

Theorem 6.21 (Morimoto–Sakuma–Yokota [155])

Any knot with tunnel number 1 is strongly invertible.

Theorem 6.22 (Kohno [128])

We denote by VK the Jones polynomial of K. If |VK(exp(2πi/5))|>2.1489 then tn(K)>1.

Theorem 6.23 (Pajitnov [183])

We denote by 𝒩(K) the Morse–Novikov number of K, see Section 6.9. Then 𝒩(K)2tn(K).

Theorem 6.24 (Proposition 3.10 in [42])

If K has Nakanishi index m(K)>1 then tn(K)>1.

Theorem 6.25 (Scharlemann [196])

Knots with tunnel number 1 are doubly prime, i.e. they cannot be written as the join of two prime tangles.

Theorem 6.26 (Morimoto–Sakuma–Yokota [156])

Tunnel numbers of 2-bridge knots are 1 and a lot about tunnel numbers of Montesinos knots is known. For example the Montesinos knots with tn=1 are classified as follows: A Montesinos knot ( which is not 2-bridge) M(e;β1/α1,β2/α2,,βr/αr) has tunnel number 1 if and only if one of the following conditions holds up to cyclic permutation of the indices:

  • r=3, α1=2, and α2α31mod2

  • r=3, β2/α2β3/α3/, and eiβi/αi=±1/(α1α2).

Theorem 6.27 (Lackenby [136])

Alternating knots with tn=1 are classified: They are 2-bridge knots and certain Montesinos knots.

Since Dehn filling does not increase the Heegaard genus. The results from [53] directly imply the following.

Theorem 6.28 (Clark [53])

Let K(r) be the Dehn filling of a knot K with slope r. We denote by g(K(r)) the Heegaard genus of K(r). Then tn(K)g(K(r))1.

We can use the above result to compute a lower bound of 2 on the tunnel number of a knot K by computing lower bounds on the Heegaard genus of K(r) for some of its fillings as follows:

  • The toroidal manifolds of genus 2 are classified by Kobayashi [127]. Then we used Dunfield’s list of exceptional fillings [72] to identify for some census knots a filling to a graph manifold which is not in Kobayashi’s list and thus has Heegaard genus 3. See [9] for this approach on the census L-space knots.

  • Can use theta graphs as in [156].

  • We know that a Heegaard genus-2 manifold is the double branched cover branched over a 3-bridge link. So we can try to show that it is not to deduce that its Heegaard genus is not 2.

  • If K is strongly invertible with tangle exterior T. Then the bridge index of any rational tangle filling T(r) of T is a lower bound for tn(K)2.

This reduces the computation of the tunnel numbers to computations of bridge indices, see Section 6.3.

TO DO: Add some examples.

6.14. Turaev genus [Marc - done]

The Turaev genus gT(K) is a way of measuring how far a knot K is away from an alternating knot. It is defined as the minimal genus among all Turaev surfaces of K, that is

gT(K)=min{c(D)+2sA(D)sB(D)2|D is a diagram of K},

where sA(D) and sB(D) denotes the number of Seifert cirlces in the A and B smoothings of D. Need to add reference to the place where it is first defined.

It follows directly from the definition that a knot K is alternating if and only if its Turaev genus is vanishing. In the following, we present the results that we have used to estimate the Turaev genus of the census knots. A survey on the Turaev genus with more results and interesting background can be found here [49].

Theorem 6.29 (Abe–Kishimoto [1])

If a knot K is almost alternating but not alternating then gT(K)=1.

Theorem 6.30 (Champanerkar–Kofman–Stoltzfus [47])

The Turaev genus of a knot K is bounded from below by the width of its Khovanov homology, i.e.

gT(K)widthKH(K)2.
Theorem 6.31 (Lowrance [145])

The Turaev genus of a knot K is bounded from below by the width of its knot Floer homology, i.e.

gT(K)widthHFK(K)1.
Theorem 6.32 (Dasbach–Lowrance [64])

We denote by σ(K) the signature, by τ(K) the Heegaard Floer tau invariant, and by s(K) the Khovanov homology s-invariant of a knot K. Then we have

  • |τ(K)+σ(K)2|gT(K),

  • |s(K)2+σ(K)2|gT(K), and

  • |τ(K)s(K)2|gT(K).

Theorem 6.33 (Dasbach–Futer–Kalfagianni–Lin–Stoltzfus [63])

For a given knot K, we denote by span(VK) the span of the Jones polynomial of K. Then

gT(K)c(K)span(VK).
Theorem 6.34 (Dasbach–Lowrance [65])

If gT(K)=1 then σ(K)det(K)1mod4 and the highest or lowest coefficient of Jones polynomial is ±1.

Theorem 6.35 (Abe–Kishimoto [1])

We denote by dalt(K) the dealternating number, which is defined to be the minimal number of crossing changes needed to make a diagram of K into an alternating diagram. This provides a lower bound for the Turaev genus, i.e.

gT(K)dalt(K).
Theorem 6.36 (Abe [3])

If D is an adequate diagram for a knot K, see Section 4.4. Then

gT(K)=gT(D) =12(c(D)|sA(D)||sB(D)|)+1
=widthKH(K)2=c(K)span(VK).

6.15. Unknotting number [Leo]

The unknotting number of a knot K, denoted u(K), is the minimal number of crossing changes needed to transform K into the unknot. It is one of the most fundamental and intractable knot invariants. Many fundamental questions about the unknotting number remain open and there is no general algorithm to compute it. There are numerous knots with diagrams with less than 13 crossings whose unknotting number still remains unknown. Upper bounds on the unknotting number can be found through explicit unknotting sequences. There are various different lower bounds on the unknotting number, in particular any lower bound on the smooth 4-genus, the algebraic unknotting number or the rational unknotting number becomes one for the unknotting number, since they are themselves lower bounds on it. Furthermore, there are various obstructions to a knot having unknotting number 1 (add citations here) or add specific obstructions (primeness is an obstruction to a knot having unknotting number 1 Charlemagne 1985, this is wrong).

We also note that there are special bounds for certain values of the unknotting number. (add citations).

For the census knots, we performed explicit searches for upper bounds in the following way

An obvious approach to find an upper bound on the unknotting number is the following: We start with a simplified diagram D of K and consider all knots obtained by changing a single crossing in D. We then look for the crossing which reduced the number of crossings the most after simplifying the diagram. We then proceed with the corresponding simplified diagram until we reach a knot Klow with less than 13 crossings. We then obtain the exact value or a good upper bound of u(Klow) from KnotInfo and obtain the upper bound

(6.1) u(K)u(Klow)+m

where m is the number of crossing changes we did.

Most lower bounds to the unknotting number are either lower bounds to the smooth 4-genus (see slice genera section), lower bounds to the algebraic unknotting number or lower bounds to the proper rational unknotting number. (add citations and more here)

For lower bounds on the smooth/topological 4-genus, we used the lower bounds on the smooth/topological 4-genus computed in (slice genera section) and

We obtained x exact values for the unknotting number and the average length of the bounding interval is y.

For the census knots whose unknotting number being equal to 1 was not obstructed, we checked (add obstructions to knot having unknotting number 1, heegaard floer stuff…)

6.16. Tetrahedra complexity [Marc]

The tetrahedra complexity t(K) of a knot K is defined to be the minimal number of ideal tetrahedra that are needed to triangulate the knot complement S3K. Good upper bounds are easy to obtain using the retriangulation function in SnapPy. However, there are only a few lower bounds known. One such bound comes from the volume but is usually not sharp.

Theorem 6.37 (See for example [187])

If K is a hyperbolic knot. Then

vol(K)vtett(K),

where vtet is the volume of a regular ideal tetrahedron, fulfilling vtet1.015.

On the other hand, it is known that t(K) is computable.

Theorem 6.38

For a given knot K the tetrahedra complexity is algorithmically computable.

Proof.

For that, we first construct an ideal triangulation T of the knot complement (for example by using the algorithm that is implemented in SnapPy). The number of tetrahedra t in the triangulation T yields an upper bound on t(K). Then we consider all of the finitely many possibilities of gluing together at most t ideal tetrahedra and check if any of these spaces is diffeomorphic to S3K. (This uses the solution to the decision problems of 3-manifolds [132] and that it is decidable if a triangulation represents a 3-manifold.) ∎

For knots with large tetrahedral complexities, this algorithm is impractical, since the number of possibilities to glue t tetrahedra grows factorial in t. However, for the census knots, Dunfield [72] has computed the tetrahedral complexity with a variation of the above algorithm.

7. Hyperbolic invariants [Marc - done]

By Mostow rigidity, a complete finite-volume hyperbolic structure on a 3-manifold with boundary a (possibly empty) disjoint union of 2-tori is unique up to isometry [160, 149]. Thus, all invariants derived from such a hyperbolic structure are in fact invariants of the underlying 3-manifold. In particular, when the 3-manifold in question is a knot complement this allows us to define knot invariants in terms of the hyperbolic geometry. Thurston has shown that a knot K is either a torus knot, a satellite knot, or hyperbolic, i.e. its complement S3K admits a complete finite-volume hyperbolic structure [228]. Thus it can be said that a generic knot is hyperbolic, which was made precise for example in [146].

The hyperbolic geometry at hand allows fast computations, which are also effectively implemented in SnapPy [61]. Most of this is based on the notion of the canonical cell decomposition. Every complement of a hyperbolic knot admits a unique canonical cell decomposition [76]. In [235] Weeks describes a method that searches, given a knot, for its canonical cell decomposition. This algorithm is not guaranteed to terminate (and on non-hyperbolic knots it cannot terminate), but in practice, it works very effectively and usually finds the canonical triangulation of a hyperbolic knot in a fraction of a second. By solving the gluing equations on the given triangulation using interval arithmetic SnapPy can then also certify (and thus yield a rigorous proof) that the knot at hand is hyperbolic. If that method does not return a certificate, that usually means (but is not certified) that the knot at hand is not hyperbolic. Then one can certify the non-hyperbolicity for example, for example by using regina [34] together with SnapPy to determine the JSJ decomposition of the knot complement as for example done in [72]. From canonical triangulations of two hyperbolic knots, one can also quickly check if the two knots are isometric (and thus isotopic) by just checking if their canonical cell decompositions are combinatorially equivalent. Given the canonical triangulation, it is also possible to compute most other invariants based on the hyperbolic structure of the knot. Since the census knots are by definition the hyperbolic knots with the simplest triangulations of their complements, these algorithms work especially fast and well and yield the computations of the invariants in seconds.

For an excellent introduction to hyperbolic geometry of knot complements (including further references) we refer to [187].

7.1. Volume

The volume of a hyperbolic knot is defined to be the volume of its complement with given hyperbolic metric. The volume is an interesting invariant of hyperbolic knots, see for example [229, 94], cf. [125]. The volume can be computed from the gluing equations of a triangulation. While the exact computations of volumes and its number theoretic properties are still challenging and mysterious, SnapPy can compute very effectively an arbitrarily close approximation of the volume. As such the SnapPy algorithm returns a small interval in which the volume provably lies. For every census knot, we present a numerical approximation as a real number whose presented digits provably agree with the first digits of the volume.

Note that the census knots (and more generally all census manifolds) have relatively small volumes. This is a special case of the hyperbolic complexity conjecture saying that manifolds of small volume arise by Dehn filling manifolds of small tetrahedra complexity, see for example [81].

7.2. Maximal cusp volume

The hyperbolic metric on S3K has a maximal peripheral torus that is flat (i.e. has Eucleadean structure). This torus splits off the maximal cusp of the knot complement. The volume of that cusp is an invariant of the knot. A verified approximation of this volume can be computed similar to the volume above using SnapPy.

7.3. Meridional and longitudional length

A slope s of a knot K is the isotopy class of a non-trivial simple closed curve on the 2-torus boundary of the exterior S3νK. If the knot K is hyperbolic, we can see a slope s as a curve on maximal the peripheral flat 2-torus. The length of s is the minimal length of all isotopy classes of s with respect to the given metric. Here we present verified approximations of the lengths of the meridians μ and the Seifert longitudes λ.

7.4. Meridional and longitudional translation

The meridian μ and the Seifert longitude λ (seen as curves of minimal length in the maximal peripheral 2-torus) of a hyperbolic knot lift to linearly independent translations of the universal cover, an Euclidean 2 with standard metric. Here we present verified numerical approximations of these translation vectors, normalized so that the meridian-translation has no y-component.

7.5. Systole

The systole of a hyperbolic manifold is the shortest length of a closed geodesic. SnapPy can actually compute a numerical approximation of the length spectrum of a hyperbolic manifold (i.e. the closed geodesics and their lengths) up to a given length cut-off with full rigor [104]. We use this to compute a verified approximation of the systole of every census knot.

7.6. Exceptional slopes

Let s be a slope for a knot K. Then one can build a new 3-manifold by gluing a solid torus to the knot exterior S3νK with a diffeomorphism that sends the meridian of the solid torus to the given slope s. This new 3-manifold K(s), is called Dehn surgery along K with slope s, and its diffeomorphism type is independent of all choices made [189, 186]. If the knot K is hyperbolic and the slope s is sufficiently large then the new manifold K(s) is again hyperbolic [229]. This was quantified by Agol and Lackenby by proving that if the slope s has length larger than 6 then K(s) is hyperbolic [6, 135]. We call a slope s of a hyperbolic knot K exceptional if the filled manifold K(s) is not hyperbolic. The exceptional fillings of the census knots were computed by Dunfield [72].

7.7. Chern–Simons invariant

Associated with every hyperbolic knot there is a complex volume whose imaginary part is the Chern–Simons invariant [152, 168, 167]. With SnapPy we can compute a verified numerical approximation of the Chern–Simons invariant. Since it changes its sign under orientation reversal, it is vanishing on knot complements that have an orientation-reversing diffeomorphism. In that case, the SnapPy algorithm will return a numerical approximation of 0. To confirm that the Chern–Simons invariant is actually vanishing we demonstrate, by computing the symmetry group of the knot, see Section 8, that it has an orientation reversing diffeomorphism.

8. Symmetry notions [Marc - done]

There exist several symmetry notions for knots. We list here the most used ones. For more details (also on other types of symmetry notions) we refer to [123].

8.1. Full symmetry group

The symmetry group Sym(K) of a knot K is defined to be the mapping class group of its exterior, i.e. Sym(K) is defined to be Diff(S3νK) modulo the normal subgroup of diffeomorphisms that are isotopic to the identity. For a hyperbolic knot the symmetry group is isometric to the isometry group of S3K by Mostov rigidity [160, 149], cf. [82]. It is known that the symmetry group of a hyperbolic knot is a subgroup of a dihedral group [105], while for a general hyperbolic manifold, the symmetry group can be any finite group [129], cf. [184].

The symmetry group of a hyperbolic knot is the combinatorial symmetry group of its canonical cell decomposition and thus SnapPy can compute the symmetry group of a hyperbolic knot from its canonical cell decomposition.

8.2. Orientation-preserving symmetry group

The orientation-preserving symmetry group Sym+(K) of a knot K is the subgroup of the symmetry group consisting of orientation-preserving diffeomorphisms. Currently SnapPy only computes the full symmetry group. But SnapPy can also display the action on the peripheral 2-torus boundary of any isometry in the symmetry group, displayed as a 2×2-matrix. The sign of the determinant of this matrix tells us if the isometry at hand is orientation-preserving (if the sign is +1) or reversing (if the sign is 1). By sorting out the orientation-reversing isometries from the full symmetry group, we can thus compute the orientation-preserving symmetry group.

8.3. Symmetry type

The full symmetry group is not isomorphic to the orientation-preserving symmetry group if and only if the knot exterior admits an orientation-reversing diffeomorphism and this is the case if and only if the knot is isotopic to its mirror image. Among the census knots there are only 5 knots that are isotopic to its mirror and these are all knots with at most 16 crossings.

Table 7. The census knots that are isotopic to its mirror
K2_1 K6_34 K6_43 K8_151 K8_291

8.4. Strongly invertible

A knot K is called strongly-invertible if there exists an orientation-preserving involution of S3 that takes K to itself but reverses an orientation along K. This can again be easily read-off from the symmetry group: A knot is strongly-invertible if and only if there exists an element of order 2 in the symmetry group of K that acts as Id on the peripheral 2-torus boundary.

The importance of this notion comes from the following observation: A tangle exterior T of a strongly invertible knot K is a two-strand tangle in a ball whose double branched cover is the knot exterior S3νK. Then, via the Montesinos Trick [153], the Dehn surgery K(r) on K by any slope r is diffeomorphic to the double branched cover DBC(T(r)) of the tangle filling T(r) of T by a rational tangle of slope r. Knots with tunnel number one are strongly invertible [157].

Our computations show that the majority of the census knots are strongly-invertible. Only 72 census knots are not strongly-invertible.

9. Polynomial Invariants

9.1. Alexander polynomial [?]

9.2. Conway polynomial [?]

9.3. Jones polynomial [?]

9.4. HOMFLYPT polynomial [?]

NW: We should discuss the complexity of the algorithm. For up to braid index 10 it seems feasible, however, beyond that different algorithms will be needed (permutation group!)

Should cite this: https://arxiv.org/pdf/2311.00817.pdf

9.5. Kauffman polynomial [?]

10. Knot Heegaard Floer homology invariants

10.1. Knot Floer homology [Jan]

Knot Floer homology [178] is a homology theory which categorifies the Alexander polynomial and is derived by modifying Osavth and Szabos Heegaard Floer homology [179]. Find overview paper To compute knot Floer homology, we used the built-in SnapPy function which calls the code described in [173]. 111This code can be downloaded here [172]. This computation was successful for all but approximately 100 knots, for which an error is raised by the program. The remaining knots were all L-space knots for which the knot Floer homology complex is determined by the Alexander polynomial [177].

The tau-invariant can be directly read off from the Alexander polynomial

Theorem 10.1 ( cite samantha allen)

Given an L-space knot K, we have

2τ(K)=degΔK(t)

Add details of knot Floer computation for alternating knots

10.2. L-space knot [Marc - done]

A knot K is called (positive) L-space knot if K admits a (positive) surgery to a Heegaard Floer L-space [174]. 222A rational homology 3-sphere 3-manifold M is an L-space if its Heegaard Floer homology groups fulfill dim(HF^(M))=χ(HF^(M)), cf. [130]. it has the simplest possible Heegaard Floer homology, i.e. if rkHF^(M)=|H1(M;)|. For a non-trivial L-space knot K in S3 the Dehn surgery K(r) along K with surgery coefficient r is an L-space if and only r2g3(K)1 [175]. Since lens spaces are L-spaces, every knot with a lens space surgery is an L-space knot. Thus L-space knots are closely related to the Berge conjecture asking which knots admit lens space surgeries [91].

Moreover, L-space knots have many interesting topological and geometric properties. For example, every L-space knot is fibered [170] and strongly quasi-positive, and thus induces the tight contact structure [100]. Moreover, the coefficients of its Alexander polynomial are all ±1 and alternate in signs. Based on experiments many (but not all) L-space knots are strongly invertible, braid positive, and positive [9, 17, 19, 124]. On the other hand, no topological or geometric characterization of L-space knots is known.

Whether a knot (or its mirror) is an L-space knot can be determined from the knot Floer homology chain complex and thus it is algorithmically detectable [174]. This is also implemented in Szabó’s program [211] which can be accessed via SnapPy. For knots with small crossing numbers, these computations work fast. But as soon as the crossing number gets larger (around 100) the computations do not terminate.

Another method to show that a knot is (or is not) an L-space knot is to identify an explicit surgery to a Heegaard Floer L-space. Since we know the 3-genus of all census knots we can only restrict to surgery coefficients r with r2g3(K)1. For that one can use for example the following:

  • Seifert fibered L-spaces are classified [140].

  • The double branched cover branched along an alternating, quasi-alternating, or (Khovanov homology) thin link is an L-space [174].

This strategy is implemented in [73, 15] to classify which census knots are L-space knots. Interestingly it turns out that approximately half of the census knots are L-space knots. This is in strong contrast to the low-crossing knots, where only a very small percentage are L-space knots.

10.3. Ozsvath–Szabo’s tau invariant [Jan]

10.4. Epsilon invariant [Jan]

10.5. Nu invariant [Jan]

11. Khovanov homology Invariants

11.1. Khovanov homology [???]

11.2. Torsion in Khovanov homology [???]

11.3. Rasmussen’s s-invariant [???]

12. 4-dimensional invariants

12.1. Arf invariant [?]

12.2. Signature [?]

12.3. Signature function [?]

12.4. Smooth/topological 4-genus [Leo]

The smooth (resp. topological) 4-genus of a knot K is the minimal genus of an orientable properly embedded smooth (resp. locally flat) surface ΣD4 whose boundary is K. These two knot invariants are among the most fundamental and heavily-studied, but as of now there is no general procedure to compute them. However for some families of knots, the slice genera always agree with other invariants which are sometimes more computable. Strongly quasipositive knots are one such family:

Theorem 12.1

add citation [Hed10, Theorem 1.1] Let K be a strongly quasipositive knot. Then g4(K)=g3(K)=τ(K).

Since there are algorithms to compute both g3 and τ, which work well in practice ( add citations), this theorem often allows one to compute the 4 genus of a strongly quasipositive knot.

There are many classical and modern bounds on slice genera. The most commonly used are the following:

Proposition 12.2

Let K be a knot. Then we have the following bounds:

  1. (1)

    |σ(K)|2g4top(K)deg(ΔK(t))

  2. (2)

    |τ(K)|g4(K)

  3. (3)

    TB(K)+12g4(K)

  4. (4)

    |s(K)|2g4(K)

Proof.

1. is Corollary 3. in Fel16, 2. is Corollary 1.3. in Os03, 3. can be found in Rud97 and 4. is Theorem 1 in Ras10. ∎

Here σ,Δ(t),τ,TB,s denote respectively the signature, the Alexander polynomial, the τ-invariant, the Thurston-Bennequin number and Rasmussens s-invariant.

Another way to obtain bounds on the slice genera of a knot K is to find a genus g concordance (also called knot cobordism) from K to knot K whose slice genera are known, since the slice genera of such knots can differ at most by g. Examples of such families are low crossing knots (their slice genera can be obtained from KnotInfo) or strongly quasipositive knots.

Finding genus g concordances can be done by gluing together one genus one concordances which can be obtained by the following Lemma:

Proposition 12.3 (LM19, Lemma 5)

Let K and K be two knots related by one of the following moves:

  1. (1)

    changing a crossing

  2. (2)

    doing two oriented resolutions

  3. (3)

    changing a positive and a negative crossing

Then K and K are genus one concordant and therefore |g4(K)g4(K)|1 and |g4top(K)g4top(K)|1.

Proof sketch.

For all of the described moves, one can build a genus one concordance between K and K, by attaching two bands to one boundary component of K×I. For a detailed proof see […]. ∎

Now let us describe how these techniques were applied to obtain bounds on the slice genera of the census knots. Firstly, for the 770 strongly quasipositive census knots (see SQP section) we obtain their slice genera via their 3-genus (see 3-genus section) using Theorem 1.1. in Hed10. Out of the 497 census knots which were not determined to be strongly quasipositive, 88 admit diagrams with less than 13 crossings and we obtain their slice genera directly from knotinfo.

Upper bounds on the slice genera of the remaining 409 census knots were obtained in the following way: We apply every possible move from proposition x to a simplified diagram D of the knot K and check which move reduces the number of crossings the most after simplification of the diagram. We now proceed with this diagram and repeat this process until we find a diagram of a knot Klow with less than 13 crossings. The slice genera of this low crossing knot (or in rare cases only a good upper bound) can now be obtained from KnotInfo (citation here) and we obtain the upper bounds

(12.1) g4(K)g4(Klow)+m
(12.2) g4top(K)g4top(Klow)+m

where m is the number of moves we applied.

For the topological 4-genus we try to improve this upper bound with the one coming from the Alexander Polynomial (see Proposition 11.1 (1)). In our situation this bound did not improve the previously computed upper bounds.

Lower bounds were obtained using Proposition 11.1 along with the computed invariants in (tau section, s invariant section, signature section, alexander section etc).

For knots whose smooth/topological genus being equal to 0 is not confirmed or obstructed, we also apply the SnapPy built in function ”slice obstruction HKL()” which tries to obstruct the topological sliceness of a knot via twisted alexander polynomials described in HKL10. We also try to obstruct topological sliceness via the so called fox-milnor condition, stating that the Alexander polynomial of any topologically slice knot is of the form f(t)×f(t1).

The obtained upper bounds agreed with the lower bounds of the smooth (resp. topological) 4-genus for 282 (resp. 226) out of the 409 census knots. Thus there only remain 127 (resp. 183) knots whose smooth (resp. topological) 4-genus remains unknown. The length of the intervals containing the unknown smooth 4-genera is always 1, and for the unknown topological 4-genera it is on average around 1.6. We also note that we determined that 48 census knots have differing slice genera.

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