Differential algebra of cubic planar graphs
Roger Casals, Emmy Murphy

TL;DR
This paper introduces a combinatorial differential graded algebra associated with cubic planar graphs, linking algebraic structures to graph colorings and providing explicit computations and new insights into graph invariants.
Contribution
It defines a novel combinatorial differential graded algebra for cubic planar graphs and connects its augmentation variety to graph colorings, offering new algebraic tools for graph theory.
Findings
The algebra is explicitly constructed via counting binary sequences.
The augmentation variety's rational points correspond to graph colorings.
Explicit computations demonstrate the algebra's properties and applications.
Abstract
In this article we associate a combinatorial differential graded algebra to a cubic planar graph G. This algebra is defined combinatorially by counting binary sequences, which we introduce, and several explicit computations are provided. In addition, in the appendix by K. Sackel the F(q)-rational points of its graded augmentation variety are shown to coincide with (q+1)-colorings of the dual graph.
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Differential algebra of cubic planar graphs
Roger Casals
Massachusetts Institute of Technology, Department of Mathematics, 77 Massachusetts Avenue Cambridge, MA 02139, USA
and
Emmy Murphy
Northwestern University, Department of Mathematics, 2033 Sheridan Road Evanston, IL 60208, USA
Abstract.
In this article we associate a combinatorial differential graded algebra to a cubic planar graph . This algebra is defined combinatorially by counting binary sequences, which we introduce, and several explicit computations are provided. In addition, in the appendix by K. Sackel the –rational points of its graded augmentation variety are shown to coincide with -colorings of the dual graph.
2010 Mathematics Subject Classification:
Primary: 53D10. Secondary: 53D15, 57R17.
1. Introduction
This article defines new algebraic structures associated to cubic graphs. The inspiration for our construction comes from symplectic field theory [9, 12] and the theory of constructible sheaves [23, 27]. To every planar cubic graph, we assign to it a differential graded algebra, which describes a number of combinatorial features of a graph. In particular, the augmentation variety of this algebra recovers the chromatic data of the dual graph, established in Appendix A, written by K. Sackel. In terms of graph Legendrians, this can be interpreted as the algebraic part of the conjectural correspondence between the augmentation variety of the Legendrian contact homology algebra and the moduli space of rank–1 constructibles sheaves [25, 29], which also constitute part of the developing program for mirror symmetry [5, 6].
The combinatorics presented in this work lie at the intersection of three fields: the contact topology of Legendrian surfaces [3, 7], the combinatorics of cubic graphs [8, 28] and the enumerative geometry of open Gromov-Witten invariants [4, 13]. In addition, the structures we introduce have some interesting connections to spectral networks [16, 17]: the binary sequences arising in our construction distinguish a special type of framed 2d-4d BPS states of the supersymmetric 4d-theories of class associated to the Lie algebra . These connections will be explored in more depth in a later work.
For now, this article defines and explores this algebraic structure from a purely combinatorial perspective. Given a planar cubic graph with vertices and a ground field , we consider the base ring of Laurent polynomials in the set of edges, and the unital –algebra generated by the faces of and three additional generators:
[TABLE]
The goal is to endow with the structure of a dg–algebra which contains interesting information about the graph, and in particular show that it contains the chromatic polynomial. Here is an example: consider the modified 4-prism graph in the left of Figure 1. We equip the graph with blue and red paths as in the right of Figure 1, together we denote the choice of these decorations by .
Then the count of binary sequences along the blue paths interacting with the red paths allows us to define a differential operator on , whereas the red paths shall dictate the differential on the faces . For instance, in the case of Figure 1 above the differential of contains the information of the binary sequence along the leftmost vertical blue path. The rules to count binary sequences are explained in Definition 2.6 in Section 2.
As the example shows, the graph is first endowed with several decorations before the dg–structure can be defined. These decorations are not canonical but necessary in order to be able for binary sequences to interact with the graph and endow with a differential structure . From the combinatorial perspective, it seems quite outstanding that, as we show, the resulting algebraic structure is independent of these choices. The central result, which includes proving such independence, is the definition of this differential operator , and can be, in its bare form, stated in the following theorem:
Theorem 1.1**.**
The count of binary sequences on the decorated graph endows with the structure of a differential graded algebra . The dg–isomorphism type of the dg-algebra only depends on .
Theorem 1.1 states that the dg-algebra isomorphism type of is independent of all the involved choices , which we prove in Section 3, and that the operator is indeed a differential, i.e. , which is the content of Section 4.
In addition, from this dg-algebra , which shall be called the dg-algebra of binary sequences, it is possible to extract different algebraic structures, which are explained in Section 6. For instance, there is a canonical action of on acting by dg–isomorphisms and we introduce the dg-algebra of fixed elements of this action, which is equipped with . This invariant dg–algebra is the algebraic structure that leads to the combinatorics of graphs colorings:
Theorem 1.2** (K. Sackel, Appendix A).**
Let be a planar cubic graph and the chromatic polynomial of its dual. Then
[TABLE]
In addition, let be the augmentation variety of and the projective chromatic -variety of . Then there is an isomorphism of algebraic varieties
[TABLE]
where acts diagonally on .
From the algebraic structure of we can also consider the set of its quotient algebras. Given any subset of edges , we can define a quotient algebra of by declaring the edges to be equal to , and the dg-isomorphism type of the resulting algebra strongly depends in general on the choice of the subset . However, suppose we choose a tree which spans the set of vertices except for one, and let be the set of all edges which are not contained in . Then the quotient algebra associated to is dg–isomorphic to the dg-algebra .
This is remarkable for two reasons: its dg–isomorphism type does not depend on the choice of tree , and it gives an effective method for calculating without having to consider a group action. From a geometric perspective, this corresponds to a gauge-fixing condition for a slice in the GIT quotient of , which is the algebraic mirror of the Legendrian defined by .
Acknowledgements: We are grateful to Maxime Gabella, Richard Stanley, David Treumann and Eric Zaslow for useful conversations. R. Casals is supported by the NSF grant DMS-1608018 and a BBVA Research Fellowship and E. Murphy is partially supported by NSF grant DMS-1510305 and a Sloan Research Fellowship. E. Murphy would like to thanks the Radcliffe Institute of Advanced Studies where part of the article was written while in residence.
2. The dg-algebra of binary sequences
Let us start with the basic definitions in homological algebra [18, Chapter V.3], where is a field.
Definition 2.1**.**
A differential graded algebra , or dg-algebra, is a pair given by a -graded -algebra and a chain differential , i.e. an –linear map which satisfies
and , .
- 2.
.
A map between two dg-algebra is a dg-algebra map if it is a unital ring map such that and . A dg-algebra map which is also a bijection is called a dg-algebra isomorphism.
Remark 2.2**.**
The equivalence of dg-algebras given by a dg-algebra isomorphism is exceedingly strong in geometric contexts [9, 12] and instead one typically works in the category of dg-algebras up to stable tame isomorphisms, chain isomorphisms, or quasi-isomorphisms. In our case, the dg-algebra in Theorem 1.1 is invariant up to dg-algebra isomorphisms, which is the strongest of these notions. This proves to be advantageous, as it allows us to construct more computable invariants than its homology, such as the characteristic algebra [24, Section 3].
Let be a cubic planar graph equipped with a fixed embedding , and denote by and its sets of vertices, edges, and faces respectively; consider also the unique integer satisfying , and .
Definition 2.3**.**
Let be a planar cubic graph.
An orientation of is a chosen orientation for each edge .
- -
A centering of is a choice, for each face , a point in the interior of , which is called the center of .
- -
A web of is a collection of embedded closed arcs , indexed by and , such that each connects to , , and are mutually disjoint from each other for all .
The set can be enlarged to by adding a collection of arcs , one for each vertex adjacent to the exterior of , which connects to . These must be disjoint from away from , and mutually disjoint from each other for all . The arcs in are called the threads of , and we refer to the threads in as the threads at infinity.
- -
A rake of is a choice, for each face , of a path with endpoints respectively contained in and which passes through . The path is called the tine of , and we require that all tines are mutually disjoint, disjoint from , and all tines intersect all edges and all threads of transversely.
A garden for consists of a choice of the above four decorations: a centering , an enlarged web , a rake , and an orientation.
Remark 2.4**.**
The pairs consisting of a graph decorated with a garden are to be considered up to smooth isotopy respecting the combinatorial structure of the graph and the incidences between the elements of the garden and the graph itself. In addition, we have adopted the color convention where the graph is depicted in black and given a garden , the tines are depicted in the blue, and threads in red.
Given a garden and a tine , define to be the set of all points where intersects an edge and consider the set of points where intersects the interior of a thread. Note that by definition, . The following definition contains the central combinatorial object of this article.
Definition 2.5**.**
Let be a graph equipped with a garden and orient each tine from bottom to top. A binary sequence along is a lower semicontinuous map , which is constant outside of the set , and conforms to the following properties:
At all points of the value of must switch.
- -
At each , the value of must switch from [math] to .
- -
At points the value of may either switch from [math] to , or remain constant.
The values of at the respective endpoints of are called the initial and final values of .
Given a binary sequence along , we denote by the set of points where intersects the interior of a thread and in addition switches its value.
Let be the commutative algebra of Laurent polynomials in the edge set and define to be the –algebra freely generated by the faces of and three additional generators , and , i.e.:
[TABLE]
Thus the elements of are finite sums of elemtents of the form , where is a Laurent polynomial in the edge set and is any word in the alphabet ; multiplication is given by formal concatenation and is the center of . Endow the algebra with the grading induced by the following grading on the generators:
[TABLE]
and for any edge .
We will now use binary sequences to define a chain differential , which requires the following definitions. Let be a binary sequence along . Given an intersection between and an edge define
[TABLE]
according to the rules in Figure 2.
The threads of the web contribute as follows. Let to be the number of edges adjacent to a vertex which are oriented outward. If is a thread we define
[TABLE]
where is the endpoint of , and are the edges containing which are adjacent to , and is the edge containing which is opposite of .
Finally, orient all threads towards the endpoint of contained in the vertex set , and at every point where intersects a thread there is a sign according to the oriented intersection as depicted in Figure 3. We define the contribution of as
[TABLE]
where denotes the thread containing . The quantity is a combinatorial index which the differential counts.
Definition 2.6**.**
Let be a graph equipped with a garden . Let denote the set of all binary sequences along with initial value and final value .
The differential of the dg–algebra of binary sequences is the map
[TABLE]
defined on generators as
[TABLE]
[TABLE]
[TABLE]
[TABLE]
The operator extends by Leibniz’s rule to with for all .
The main result of this article is to show that Definition 2.6 yields the structure of a dg-algebra and such structure is independent of all the choices made to define it up to dg-isomorphism. In precise terms, we will prove the following theorem:
Theorem 2.7**.**
Let be a planar cubic graph equipped with a garden , then is a dg–algebra. In addition, the dg–algebra isomorphism type of does not depend on the choice of garden .
The dg–algebra of binary sequences of is the isomorphism type of where is defined for an arbitrary choice of garden . Sections 3 and 4 are devoted to the proof of Theorem 2.7, which is the correctly refined statement of Theorem 1.1.
3. Independence of the choice of garden
Let be a planar cubic graph and two gardens, this goal of this section is to prove that there is a graded algebra isomorphism such that . The choice of the rake is the most delicate matter, which is dealt in the following proposition.
Proposition 3.1**.**
Let be a planar cubic graph equipped with two gardens which differ only at their respective rakes and . Then there exists a graded algebra isomorphism such that . In addition, the isomorphism can be chosen to fix .
In order to prove this, we shall use the following two lemmas.
Lemma 3.2**.**
Two rakes and differ by a finite sequence of the five moves depicted in Figures 7, 7, 7 and 7 and a smooth plane isotopy.
The proof of Lemma 3.2 is strictly combinatorial and it is left as an exercise for the reader. In contrast, the following lemma, for which we provide a detailed proof, features the operator .
Lemma 3.3**.**
The operator is invariant under moves I, II, III and IV.
Proof.
For Move I in Figure 7, where a tine and a thread interact, the count of binary sequences is as follows. On the local situation depicted on its left side we have given by the constant sequences, whereas ; on the right hand side the constant sequences persist and still , and it is apparent that . However, depending on which point of the thread we switch: in one of these sequences the intersection index is positive and the other is negative. Hence, given that the other relevant data coincides since the thread is the same, these two binary sequences have opposite sign and their contributions cancel.
For Move II, the tangency between a tine and an edge , the left hand side has given by the constant sequences and else . On the right hand side, there is a unique sequence in each and , which switches at both of the intersection points : these sequences are counted with the factor and thus their contributions coincides with that of the constant functions. Certainly, also holds.
For Move III, where a tine crosses along a vertex, the counts of unsigned contributions read as follows:
[TABLE]
The counts of signed contributions are verified in the tables of Appendix B. ∎
Proof of Proposition 3.1:.
By Lemma 3.3 it suffices to define a dg–algebra isomorphism
[TABLE]
where the two rakes and differ by a single tine switch as depicted in Figure 7: the tines and switch resulting in two new parallel tines . Because and are parallel, we can consider a curve which lies between the tines and and passes through and . The curve (depicted in Figure 8) should be considered as a generalized tine which governs the transition of binary sequences when a tine switch occur. That is, the count of binary sequences along will define . Notice that we have , and .
Following Definition 2.5 a binary sequence along is a binary sequence which changes value at all points of , changes its value from [math] to at and , and either remains constant or change its value from [math] to at points of . By considering the set of points where switches its values at a thread, we can define
[TABLE]
Let be the set of all binary sequences along with initial value and final value . We define a map which is the identity on all edges and faces , and acts as follows on the degree-2 generators:
[TABLE]
[TABLE]
[TABLE]
We claim that the map commutes with the differentials: , which we prove now.
First, the action of the two differentials , coincides on all the faces and since their definitions are independent of the choice of rakes. On the faces denote . For the degree-2 generators , the condition is equivalent to the following conditions:
[TABLE]
[TABLE]
[TABLE]
Let , the only terms which contribute to come from binary sequences along , , , and , since all other terms will appear equally in and . Therefore, we can write , and it remains to show
[TABLE]
where , , or according to , or , respectively.
Consider a binary sequence along . If it does not switch its value at a thread inside the face , then it has a counterpart binary sequence along obtained by switching in all the corresponding locations as ; hence these two contributions cancel in . In consequence, the only binary sequences which contribute to are those sequences along or which necessarily switch their value at a thread inside . Thus defines a binary sequence along : if is a binary sequence along which switches value at a thread near to , we can use the same values to define a sequence along which switches value at .
The data lost in this association accounts for which thread inside is the one in which the binary sequence switches, which is counted by the second factor in the expression for . It is readily seen that each choice of thread appears once in either or , but not both, and in either case the signs give the correct contributions. This proves the expansion for , and the proof for is identical. ∎
Proposition 3.1 shows the independence of the dg–algebra isomorphism type from the choice of rake. Another element of a garden is the choice of a web. Clearly, in each face the choice of threads is essentially unique, since each face is contractible. The exception is the choice of threads at infinity, which we address here.
Proposition 3.4**.**
Let be a graph and , two gardens such that . Then there exists a dg–algebra isomorphism
[TABLE]
which restricts to the identity on .
Proof.
Apply Proposition 3.1 to ensure the rake is such that all the exterior vertices of lie to the right of every tine in the rake. Thus we may assume that and differ in a bottom–top move as in Figure 9, since and must differ by a finite sequence of such moves.
Consider the algebra isomorphism defined as the identity on all faces and edges and acting in the degree-2 generators as
[TABLE]
It is readily verified that . ∎
Let us now use Propositions 3.1 and 3.4 to prove the following result.
Theorem 3.5**.**
Let be a planar cubic graph equipped with two gardens . Then there exists a graded algebra isomorphism such that .
Proof.
Choosing a different centering and interior threads yields to combinatorially equivalent configurations, and Propositions 3.1 and 3.4 show that the choices of different rakes and threads at infinity yield isomorphic algebras with an isomorphism commuting with the –operators.
It remains to show that choosing a different orientation induces an isomorphism. It suffices to show this for two orientations that differ in exactly one edge , and let and be the chain differentials corresponding to the two choices of orientation. The ring isomorphism which takes to and is the identity on all other generators induces an algebra isomorphism , and it is easily checked that it satisfies . ∎
4. Proof of
Let be a graph equipped with a garden , this section is devoted to showing that is a dg–algebra, that is the identity is satisfied.
Theorem 4.1**.**
Let be a decorated graph equipped with a garden . Then .
Proof.
It suffices to prove for , since on the coefficient ring . Each element is a finite sum of terms of the form , where is a binary sequence along . Thus the terms of are of the form , where is a binary sequence along and is the thread inside for some . This is depicted in Figure 10.
First, consider a foliation of the square such that:
The space of leaves of is smoothly parametrized by , and each leaf is an embedded path with respective endpoints on and . In addition, and , and for all , the tines are leaves of .
- 2.
For all but finitely many , and consist of finite sets of transverse intersection points. At these finitely many exceptional , the finitely many intersection points in and are also allowed to be non-oscillatory tangencies.
There exist foliations satisfying the first condition and we can construct a foliation satisfying the second condition by a -small perturbation.
Now, a leaf of the foliation is said to be regular if , for any , , and the intersection points in the sets and are transverse. A critical leaf is by definition a leaf which is not regular, and the set of critical leaves is finite.
Remark 4.2**.**
By a -small perturbation, we assume that each critical leaf is not regular for a unique reason: it either contains a single vertex, has a unique tangency with an edge, has a unique tangency with a thread, or is equal to a tine.
Let be the number critical leaves, and choose a set such that each is regular and lies between the th and st critical leaves; these leaves are referred to as the standard leaves and denoted by for .
Consider the set of binary sequences along all standard leaves whose initial and final values are and respectively, and the set of pairs where and is a thread from ; let us denote .
In order to prove , we construct an involution
[TABLE]
such that ; these involutions are defined as follows.
For each we construct a finite sequence , with the following properties:
, and for ,
- -
and for all ,
- -
The binary sequence only depends on and the sign of ,
- -
The sequence defined by the initial condition is given by .
The involution is defined as which proves . Let us construct the sequence from any initial condition .
Consider the element and let be the standard leaf which is adjacent to the tine and lies to its right or its left according to whether the thread points to the right or to the left of the tine . The first element in the sequence is defined to be the binary sequence along which switches its value at the same edges and threads as , except that it additionally switches from [math] to at instead of at the center . Notice that the contributions coincide up to sign since the same factors appear in both expressions with the exception of the contribution of combing from the value switch at ; and thus, if lies to the right of the tine , and if it lies to its left. This defines the binary sequence .
Suppose that the binary sequence is defined, is supported along the standard leaf and for the correct sign . Let be the critical leaf lying to the right or to the left of the regular leaf according to whether or respectively. The binary sequence is now defined depending on the type of singularity presented by the leaf .
Case A: The singular leaf is tangent to an edge .
In this case, the regular leaf differs from only in two additional intersections with the edge , as depicted in Figure 11. Then is the unique binary sequence along such that outside of the neighborhood where the tangency occurs it satisfies . The contributions might only different in the two additional intersections, but since these are consecutive they contribute the factor of to either or , and consequently .
Case B: The singular leaf is tangent to a thread .
The regular leaf differs from in two additional intersections and with the thread , which is depicted in Figure 12. First, in case lie on , we define to be the binary sequence along which does not change value at and , and is equal to outside of a small neighborhood of the tangency. Second, in case and lie on but the binary sequence happens to be constant at those points, we define to be the binary sequence along equal to ; note that in these two cases .
Third, in case the binary sequence switches its value from [math] to at either or , for definiteness let us assume , we define to be the binary sequence along which is equal to except that it is constant at the point and switches value at . Note that in this case, the equality implies .
Case C: The singular leaf contains a vertex.
In the three cases where near the vertex the initial and final values of the binary sequence are , , or , there is a unique binary sequence defined along which equals outside of this neighborhood: in these cases , as depicted in Figure 13. In the fourth case, where the boundary conditions are , there are two binary sequences along which are equal outside of the local neighborhood, and these have opposite signs. In that scenario we define the binary sequence to be the unique sequence along distinct from with contribution . This is depicted in Figure 14.
Case D: The singular leaf is .
In this case either and or and . In the latter case, the regular leaf does not intersect any edges or threads and therefore is constant; then let be the binary sequence along which is equal to the same constant. In the former case, the regular leaf does not intersect any edges but it does intersect all exterior threads. Since we only consider the cases , , or , it follows that must also be constant: the sequence is the binary sequence along with that same constant. In both of these cases, we have .
Case E: The singular leaf is the tine for a face .
There are two possible depending on whether switches value on a thread at a point near . In case the binary sequence is constant near the center , we define to be the binary sequence along which is also constant near and equal to ; it readily follows that .
In the case that switches its value from [math] to at a point near a center on the thread , we define to be the binary sequence along the tine which switches its value at and is otherwise equals . Notice that since lying to the right of the regular leaf implies that the thread lies to the left of the tine , and vice versa. In consequence the contribution satisfies .
This completes the definition of the involution . It is readily seen that switching the sign of at a step reverses the sequential process. In particular, this implies that the sequence must eventually lie in the critical set , since otherwise we would have an infinite sequence of distinct elements in a finite set; this also shows that whenever we must also have , which shows that is an involution.∎
5. Computations
In this section we shall be using the notation .
5.1. 4-vertex graphs
Let us start with the two planar cubic graphs with genus . First, consider the graph at the left of Figure 15 with the depicted choice of garden, which corresponds to the Legendrian front of the Chekanov torus. Note that we only depict the threads which intersect a tine on their interior. In this case and thus the dg-algebra is to be generated as an -algebra by the degree-2 elements and .
The differential is given by the count of binary sequences, which by this specific choice are restricted to the values depicted in Figure 15. The count yields the following result:
[TABLE]
and it is readily computed that is indeed a differential:
[TABLE]
This computation is particularly simple due to the choice of garden, and the reader is invited to study the sequences appearing in the proof of Theorem 4.1, which in this case can be quickly done by hand.
Second, consider the graph shown in the right of Figure 15. From the Legendrian viewpoint it corresponds to the Clifford torus, which is part of the mirror of the pair-of-pants [22, 29], and it arises as the critical graph of supersymmetric QCD with quarks [11, 21]. Let us compute the differential in the dg–algebra structure:
[TABLE]
and also verify that is indeed a differential:
[TABLE]
5.2. Blown-up 4-prism
Let us consider the graph depicted in Figure 16, which consists of a modification of the 4-prism graph by addition of an interior edge, with the choice of garden. In this case we shall count unsigned binary sequences, the reader is invited to endow the garden with an orientation and compute the sign contributions.
The binary sequences that contribute to the degree-2 differential of the dg–algebra read as follows:
[TABLE]
Let us verify that in a field of characteristic two, where the result is indepedent of sign contributions, the operator squares to zero. Indeed, the square of the differential yields the following contributions:
[TABLE]
6. Invariant and T-versal dg-algebras of binary sequences
Let be a bridgeless cubic planar graph, in this section we construct a dg-algebra from the dg-algebra of binary sequences. For reasons that will become apparent, we refer to as the invariant dg-algebra of binary sequences.
Extend the algebra by adding a central invertible element , to obtain the algebra , which is defined as a dg-algebra by assigning grading [math] and defining . Given a face , consider the algebra map
[TABLE]
and , , . In addition we define
[TABLE]
for all and . It is readily seen that these maps commute and therefore define an action of the lattice on by graded algebra isomorphisms. The following proposition shows that this actually defines an action on by dg-algebra isomorphisms.
Proposition 6.1**.**
Let be a planar cubic bridgeless graph equipped with a garden . Then
[TABLE]
Proof.
It suffices to prove this for each face and the three generators and .
Consider a face , then it is immediate that since is a homogeneous Laurent polynomial in of degree , and multiplies and all by .
Suppose , then we need to show that . The Laurent polynomial is a sum over the vertices of terms . If a given vertex is not contained in , then none of the edges , , are contained in , and therefore acts trivially on this term. If is contained in , then the two faces and share exactly one edge from , and , since is bridgeless. By definition the edge is not contained in the face and in consequence . Suppose that , then the automorphism multiplies and by and leaves fixed, which implies that the term is left fixed by .
Suppose that , then we must prove . The Laurent polynomial is a sum of terms with , whereas is not contained in and therefore multiplies all terms by . This completes the proof that commutes with and on .
We now consider . Let a binary sequence along the tine . By definition of the differential acting on and , the following four equalities imply the desired statement:
[TABLE]
[TABLE]
We now establish each of these claims. For the first equality, note that is fixed by unless is a thread in the web associated to the face , in which case . This is for the same reason as above: either the thread is completely disjoint from – in which case acts trivially – or else multiplies two of the edges by the constant . The fact that these terms might cancel or not is determined by whether is a thread contained in . Therefore the automorphism only affects by acting on those factors which arise from the segments of passing through the face . There are three possibilities each time this occurs:
switches from [math] to when it enters and switches from back to [math] when it exits,
- 2.
switches from to [math] when it enters and switches from [math] back to when it exits,
- 3.
switches from to [math] when it enters , switches from [math] to at a thread in the web of , and switches from to [math] again when it exits .
A switch at an edge contributes a factor to , where the sign of the exponent being determined by whether the switch is to [math] or [math] to , and therefore the automorphism acts invariantly in the first two cases. In the third case, the exponent is negative for both the entrance and the exit and thus the factor that comes from applying the automorphism to these factors exactly cancels the factor coming from applying to . This proves the first equality in Equation 6.1.
Consider the second equality, where . The argument proceeds exactly as before, except that there is a further possibility when enters :
switches from to [math] when it enters , it switches from [math] to at , and switches from back to [math] when it exits .
This fourth case must happen exactly once along the binary sequence , and since the switch at the center contributes no factors to , once we apply the automorphism we are left with a factor of , as required.
For the remaining two equalities in Equation 6.1 we use that multiplies all faces and edges by . Every time that a binary sequence switches from to [math], which can only happen when the tine crosses an edge, the automorphism introduces an additional factor of to . In the case where switches from [math] to , it is either at an edge, a thread or at the center . In the former two cases introduces a factor of and in the latter case, which occurs exactly once, acts trivially. Therefore the exponent of which comes from applying the automorpshim to is the total count of switches along the binary sequence , which is .∎
Definition 6.2**.**
Let be a cubic planar bridgeless graph endowed with a garden. We define to be the subalgebra of elements which are contained in and which are fixed by the action of via dg-isomorphisms. The differential restricts to a differential , and the dg-isomorphism type of the dg-algebra is referred to as the invariant dg-algebra of binary sequences.
Remark 6.3**.**
The algebra can be defined for a graph containing bridges, in which case the definition of the action must be slightly generalized; we define if is the edge of from both sides. We refrain from discussing this situation in order to avoid even more cases in the proof above, and also to avoid the exceptional cases when discussing the upcoming -versal dg-algebras.
In addition, note that the dg-algebra is acyclic if contains a bridge. Indeed, in that case for some and therefore in the cohomology , which implies its vanishing. This is also reflected by the fact that the dual graph contains a loop and therefore it does not admit any colorings, see Appendix A.
Let us prove that the dg-isomorphism type of does not depend on the choice of garden .
Theorem 6.4**.**
Let be a decorated cubic planar bridgeless graph. The invariant dg-algebra of binary sequences does not depend on the choice of garden .
Proof.
It suffices to prove that the isomorphisms constructed in Section 3 commute with the action of . In the course of the section there are three moves which induce a non-identity isomorphism: changing the rake by a tine switching, changing the threads at infinity of the web and changing the orientation of an edge.
The isomorphism induced by changing threads at infinity is given in Equation 3.2, which is readily seen to commute with : the action of is trivial on and , and thus it suffices to show that it is also trivial on . For the automorphism this is satified since all edges are multiplied by whereas is multiplied by , for the automorphism it is enough to notice that whenever contains it must also contain but never , since by definition these three edges occur at an exterior vertex.
In the case of a tine switching, the induced isomorphism is given in Equation 3.1, and we claim that this isomorphism commutes with the action of . This follows from the next four claims for any binary sequence along a tine :
[TABLE]
[TABLE]
This is similar to Equation 6.1 and proof is identical except that we consider instead of .
Finally, if we change the orientation of an edge , the induced isomorphism sends to and fixes the remaining elements, and this isomorphism action commutes with the action of .∎
Being an algebra of invariant elements, it is difficult to compute using Definition 6.2. In order to compute in practice, we construct a slice for our quotient, in which we can compute more directly. Let us define a basis of to be a choice of a vertex together with a tree which spans the vertex set ; notice that any basis consists of edges.
Definition 6.5**.**
Let be a decorated planar cubic bridgeless graph with a basis and the algebra of Laurent polynomials in these edges. Consider the map which sends the edges in to the unit . We define the -algebra
[TABLE]
and the induced map . Since is surjective and vanishes on the kernel of , this uniquely defines a map
[TABLE]
The pair is said to be the -versal dg-algebra of binary sequences of .
Theorem 6.6**.**
Let be a decorated planar cubic bridgeless graph. Then the -versal dg-algebra is isomorphic to . In particular, the dg-isomorphism type of is independent of the basis .
We first prove a lemma:
Lemma 6.7**.**
Let be a decorated planar cubic bridgeless graph. For any map , there is a unique , such that for every , .
Proof.
Let us consider the automorphism . Then, for each , we can write
[TABLE]
where and are the two faces containing . In case is an exterior edge, then .
Therefore the system of equations for is a set of equations in variables (), which we claim has a unique solution for any . To write this linearly, let equal either or [math] according to whether is adjacent to , where indexes all edges in and indexes all faces. In addition, declare for all and consider matrix . It suffices to show that , since the equation to solve is
[TABLE]
Let be the partial dual of defined according to the condition that the vertices of are the faces of , including the exterior face , and the edges of are the edges of which are not in . Since is a tree which spans all vertices of except for one, is a connected graph which has a unique embedded cycle, which is a triangle. The adjacency matrix of is nearly the same as the matrix , the only difference is that we remove the column corresponding to , and replace it with a column of all s. In particular, if has a vertex different from of valence , the corresponding column of has all [math]s except for a single . For the purpose of computing , we can then expand along this column without changing the determinant up to sign, which has the effect of removing this vertex from as well as the edge adjacent to it.
Therefore, we can assume without losing generality that has no vertices of valence except possibly , that is, a triangle with a chain connecting to . The resulting matrix is then
[TABLE]
which is readily seen to have determinant .∎
Proof of Theorem 6.6:.
As before we write an arbitrary as . We also write , where we adopt the convention that and . As before, we write an adjacency matrix satisfying
[TABLE]
Here is the same matrix appearing in the previous proof, and is a matrix defining how acts on the edges in . In Lemma 6.7 it is shown that is invertable. Consider the elements , which are defined by
[TABLE]
In particular we have for . We claim is equal to the algebra of Laurent polynomials in , which is equivalent to the claim that is an isomorphism. First, we note that , since
[TABLE]
and
[TABLE]
To see that every element of is a Laurent polynomial in , first note that consists of linear combinations of monomials in , since acts multiplicatively. We identify the multiplicative group of monomials in with the additive group by identifying with . The group is acting linearly on this space, where the element acts by
[TABLE]
We immediately see then that the monomials in are identified with the orthocomplement of the linear subspace . Since the matrix \left(\begin{array}[]{cc}A\\ \,A_{T}\end{array}\right) is full rank, we see that , so its orthocomplement has rank . Furthermore every monomial in is primitive in , so cannot have torsion. This completes the proof of .
For grading , we define the matrix by
[TABLE]
which describes how acts on faces. Let be the terms of , and define . It follows that for any . This immediately implies that is a basis for over . Finally, a basis for consists of , , and , where forms the first row of . ∎
Appendix A Augmentations are Colorings
KEVIN SACKEL222Massachusetts Institute of Technology, Department of Mathematics, 77 Massachusetts Avenue Cambridge, MA 02139, USA.
A.1. Introduction
In this appendix, we prove Theorem A.9, Theorem 1.2 in the body of the paper. The motivation for this theorem is the expected correspondence between augmentations of the Legendrian dg-algebra and the moduli space of rank-1 constructible sheaves with singular support along the Legendrian. This correspondence was originally conjectured in [27] and proved for Legendrian knots in [25]. With this philosophy in mind, the cubic planar graphs considered here correspond to the Legendrian surfaces considered in [29], face colorings up to reparametrization correspond to sheaves, and the invariant dg-algebra constructed in the main body of the text is expected to be the Legendrian dg-algebra in the sense of symplectic field theory [9, 12].
For the remainder of this appendix, the reader may disregard the motivation entirely and view the main theorem as purely combinatorial in nature. Let be an underlying ground field and all graphs considered here will be cubic planar, and for simplicity, bridgeless. As noted in Remark A.10, this last assumption can be dropped in the statement of the theorem.
Definition A.1**.**
An augmentation of a dg-algebra is a morphism dg-algebra map
[TABLE]
where is the dg-algebra given by concentrated in degree zero.
Note that in order to define an augmentation, it suffices to specify on some set of generators , which we assume is finite. Hence, one can identify as a subspace of the affine space . Suppose now we are in a particularly nice situation, where for . Then an element of defines an augmentation precisely when it satisfies:
The algebraic relations imposed by the equations defining as an algebra.
- -
The algebraic relations imposed by the equations coming from . In particular, if is finitely generated as an -module, then one can specify equivalent data by a finite list of relations.
If furthermore is commutative, then these relations are all just polynomials in the generators of . Hence, forms a variety given by the corresponding ideal.
Definition A.2**.**
In the set-up just described, we shall refer to as the augmentation variety.
Remark A.3**.**
Under these nice hypotheses, we are thinking of as a variety, and so in cases when , there may be more structure than just the underlying set of augmentations. In addition, note that we obtain an isomorphic variety if we choose a different set of generators , since we have rational morphisms and given by writing the generators of one set in terms of the other. The composition is the identity on the variety given by the algebraic relations coming from , a fortiori on the augmentation variety. So these varieties are indeed isomorphic.
One would like to understand the augmentations of the dg-algebras described in the main body of this paper. In the case of the dg-algebra of binary sequences for the graph , one can take as a generating set , where we have once and for all fixed an enumeration on and orientation of the edges. The algebraic relations (aside from commutativity) imposed by are simply that , and so one could also think about our augmentation variety as living in instead of .
Definition A.4**.**
The variety is given as
[TABLE]
and is called the augmentation variety of binary sequences of .
Definition A.5**.**
For a basis of , the variety is given as
[TABLE]
and is called the -versal augmentation variety of .
Definition A.6**.**
The variety is called the invariant augmentation variety of .
The invariant dg-algebra embeds in , so this induces a map on augmentation varieties. In addition, since , we have a canonical isomorphism . In the following, we shall need to understand the projection map given by the composition . The proof of Theorem 6.6 implies that this morphism is described by sending an element to the element with, in the same notation as that proof,
[TABLE]
for each (and in particular for edges not in , i.e. for ).
On the other hand, one can consider colorings of the faces of by elements of . We think of this dually as a vertex coloring of the dual graph .
Definition A.7**.**
The pre-chromatic variety of is
[TABLE]
On this variety, there is a natural action of , given by simultaneous action on each -coordinate.
Definition A.8**.**
The chromatic variety of is
[TABLE]
This is a smooth quotient, and the chromatic variety is isomorphic to the corresponding slice of in which we fix around a given vertex.
Theorem A.9**.**
For any field , there is a canonical isomorphism as varieties over (not just as sets of points).
Remark A.10**.**
For the case when has a bridge, the theorem is still valid, since Remark 6.3 implies is empty, while is also clearly empty since some face is adjacent to itself.
Remark A.11**.**
In the case of , rational points of the augmentation variety correspond to four-colorings of the faces of (up to reparametrization), and so the famous Four Color Theorem (which can easily be reduced to studying bridgeless cubic planar graphs) is equivalent to the existence of a rational point on when is bridgeless. If we have such a rational point, then it yields a vertex coloring by elements such that the sum around any face is [math] mod . In fact, this stronger statement is also equivalent to the Four Color Theorem, and was well known prior to the famous and controversial computer-based proof of [1, 2], in fact as far back as 1898 [20]. Hence, one expects no new purely combinatorial insight into the Four Color Theorem.
The proof of Theorem A.9 occupies the following two subsections. In Subsection A.4, we provide two examples of our isomorphism, and finally, in Subsection A.5, we describe an alternate viewpoint on the viewpoint which leads to a combinatorial/number-theoretic identity, Corollary A.24.
Acknowledgements: K. Sackel is grateful Bjorn Poonen for pointing towards EGA. This work is supported by an NSF Graduate Research Fellowship.
A.2. Construction of the morphism
We shall proceed by constructing a morphism of the form which restricts to the desired morphism . We will then show that , considered instead as a morphism , does not depend on the choice of .
Consider an element . For each choice of face-vertex adjacency , this defines an element of given by , the image of under the augmentation, which we shall also denote by abuse of notation as . By definition, the sum of these values around the vertices of a given face is [math]. The relevant quantity with respect to defining the coloring is not actually the precise value of each of these quantities, but the ratios of the quantities to each other around a face, which will be the cross ratio of the labellings in the coloring around an edge, as we now describe.
Suppose we consider two vertices connected by an edge , with the other edges around given by and around as , such that are labelled clockwise. Label the faces clockwise by such that separates and (and so separates and and so on). See Figure 17. Then we define the coloring up to by the condition:
[TABLE]
We shall often be agnostic towards the precise signs in this equation, instead writing to de-clutter the notation.
If one of the values is , then Equation A.1 is still valid in the following sense. Suppose that . Then we consider , leaving
[TABLE]
If both , then similarly, we take
[TABLE]
This interpretation of the right hand side yields the required -independence - this quantity is often called the cross ratio. In particular, up to reparametrization, we can set , , and to be any choice of distinct colors, and a choice of values for the will uniquely determine (different from and since the cross ratio is in ). In addition, both sides of the equation are invariant under rotating the picture by 180 degrees, and so it is equivalent to determine from , , and as it is to determine from , , and .
To be even more concrete, in practice, one can set the color of some given face to be up to reparametrization, and the ratios of the values around the vertices are precisely the ratios of the differences between adjacent colors around the face. The fact that the sum of the around a given face equals [math] is precisely the fact that when we go around a face, we get back to the same color. An example of this picture around a triangular face is given in Figure 18.
If we know the distinct colors around an edge, then we know the last color . So we can iteratively choose some edges where three of the colors around them are known, and fill in the last color. For example, suppose we take the dual graph . The faces of correspond to the vertices of , and so if in the dual graph we know the colors around the vertices of a triangle, then we can find the color of the last vertex of an adjacent triangle. This propagation procedure is depicted in Figure 19.
This gives a method from going from an augmentation in the augmentation variety of binary sequences to colorings. Start by labelling three adjacent faces around a fixed vertex of with the values (we could also use any other three distinct values in , though we stick with these for concreteness). (We are assuming is bridgeless, so there is no issue with a face being adjacent to itself.) Then, using the propagation procedure described above, we can one-by-one fill in labels for all of the other faces, hence obtaining a labelling of the faces of with colors in . It is not immediately obvious that this is a coloring, since it could be the case that when we propagated, we ended up with two adjacent faces having the same color. It is also not immediately clear that the labelling is well-defined up to reparametrization if we follow different directions of propagation to fill in our labels. That these two possibilities do not occur is implied by the following lemma.
Lemma A.12**.**
The labelling of faces with elements of obtained by this method satisfies Equation A.1 around every edge. In particular, this defines a legitimate coloring, in that no two neighboring faces are labelled by the same color.
Proof.
It suffices to prove that there exists a labelling of faces of satisfying Equation A.1 around every edge. Then we note that since any other choice of propagation requires Equation A.1 to hold along some subset of edges but that this coloring is uniquely determined by these conditions, the resulting labelling must be the same.
The way we go about this is to abstractify the way in which a face is labelled via some connected sequence of propagations. Let us formalize this in the following way. Suppose that we choose any vertex and any face . This corresponds in the dual graph , which we embed into , to a dual face and a dual vertex . Further suppose that the vertices around are labelled by . Consider any path such that the following three conditions are satisfied:
lies at some fixed interior point in
- -
is in
- -
never passes through the vertex of corresponding to the face at infinity
Given such a path, we shall obtain a label for by an element of essentially by keeping track of local labels for the vertices of which are near . To state this precisely, we show that defines a labelling function , where is the vertex set of . This is precisely determined by the following conditions:
- (i)
We set the initial values is defined by the initial labelling of vertices around . That is, is for the three initially labelled vertices, and is on all other vertices.
- (ii)
We set equal to unless is near in the following sense:
- –
If is in the interior of a face of then there are three labels which are not , which are the vertices around this face.
- –
If is in the interior of an edge of then there are four labels which are not , which are the four vertices around this edge. In this case, we require the labels to satisfy Equation A.1 with respect to the augmentation at this edge.
- –
If is at a vertex of , then the only labels which are not are the vertex itself and all adjacent vertices. Furthermore, we require all of these labels to satisfy Equation A.1 at all edges connecting the vertex to an adjacent vertex. The augmentation equations imply that such a labelling is possible.
- (iii)
Each is locally constant on its restriction to the preimage of .
To summarize, the first condition states that has an initial value, while the second and third together imply that only changes when switches strata, and the corresponding labels we keep track of are completely determined by Equation A.1. In this way, can be constructed and is uniquely defined by these conditions. We provide an example in Figure 20.
So to each path as above, we can associate to the value . We wish to show that this final label is invariant of . In order to do this, note that all isotopies of are generated by small isotopies of on some interval which completely lie in the star of some with not corresponding to the face at infinity of . Under such an isotopy, is preserved since one could keep track also of the labels for all the vertices around which would satisfy Equation A.1 around all edges adjacent to . Hence also is preserved since the construction of forgets all labels which occur before time . In particular, is always preserved by isotopy. Finally, the space of paths considered is contractible, so this yields a well-defined label for .
One could then repeat these for all other faces to obtain a complete labelling depending on the value of being considered. So consider we take ending at and modify it to by adding an arc along the edge from to an adjacent . Then , so itself encodes the same label for . But we see that consists of labels which satisfy Equation A.1 at every edge around , and so the labelling we have obtained satisfies this equation across all edges. ∎
Remark A.13**.**
Since Equation A.1 is satisfied around all of the edges of the face at infinity , in fact this also proves that the equation is also satisfied by elements in the augmentation variety.
Corollary A.14**.**
This yields a map of varieties , which is independent of the choices made in the propagation procedure (the starting vertex and the directions of propagation).
Proof.
Each time we propagate in our procedure, is a rational function of , , and , so we do obtain a morphism of varieties . Precomposing with yields our morphism . Independence of propagation is immediate from satisfying Equation A.1 around every edge. ∎
Lemma A.15**.**
The morphism is injective as a map of sets.
Proof.
We prove this in two steps. Suppose we have a coloring in the image of .
- (1)
We will first prove that the information of each (each ) is uniquely determined. 2. (2)
Second, we use this data to uniquely determine all of the values of the .
For the first step, note that if we know the value of for one face-vertex adjacency, then given the coloring, we know these values around the rest of that face by applying Equation A.1 around the edges of the face. Also note that we know this value to be around the chosen vertex in the basis of the graph, and hence around the three faces around this vertex. We claim that we can always find the values inductively by choosing an adjacent face to the region where we have already found these values. Let be this region. Then note that since the tree contains no cycle, there is some edge of which is not in the tree (so that ), and which is adjacent to the faces and . Pick one of the vertices bounding , and and the other edges around . Then and , with the same sign. These are therefore just reciprocals of each other. But we already know since lies in , so this allows us to extend this information through to the face , which was not in .
For the second step, note first that for non-tree edges. Meanwhile, if we know two values and around a vertex, then is uniquely determined. So we can start at the roots of the tree and uniquely determine the value along the corresponding edge, and continue to deplete the tree in this way until all edges have been filled in uniquely. This proves the result. ∎
Finally, identifying yields the desired morphisms . However, it is not obvious that this map is canonical, since a priori, it could depend on the choice of tree . In order to prove it is canonical, we need to understand how these morphisms depend on . In the introduction to this appendix, we constructed the projection morphism . Our key lemma is the following.
Lemma A.16**.**
The morphism satisfies .
Proof.
Recall that with . We need to check that applying to this vector yields the same value as applying to the original vector. But the construction of only depended on the values appearing on the left hand side of Equation A.1. Hence, it suffices to prove that around every edge , using the same notation as the set-up from before (see Figure 18), we have
[TABLE]
Writing this out in terms of our expression for , we find that this is equivalent to checking that
[TABLE]
or in other words, that for each , the matrix satisfies when are in the position corresponding to our set-up.
Recall that
[TABLE]
But the matrix \left(\begin{array}[]{cc}A\\ \,A_{T}\end{array}\right) is just the face-edge adjacency matrix beginning with a column of all ’s. Hence, if we multiply on the left with the row with entries corresponding to edges and and corresponding to edges and , we see that the result is the [math] row vector, since each of the regions in Figure 18 borders one edge contributing and one contributing . Therefore, this row times the matrix yields [math], but the entries of this row are precisely the entries of the form . ∎
Corollary A.17**.**
The morphism does not depend on the choice of tree .
Proof.
For any two choices of tree and , we have the following commutative diagram:
[TABLE]
But then, , and finally we obtain the independence since is the morphism by the following commutative diagram:
[TABLE]
∎
A.3. Construction of an inverse morphism
Lemma A.18**.**
For algebraically closed, then is an isomorphism.
Proof.
We shall again take the viewpoint that , and construct an inverse morphism . In order to do this, we first define on affine pieces of . The image of each of these pieces will lie in , but will not patch together properly. However, the construction is done equivarently so that they do indeed patch together to descend to a map . In other words, the images do patch in , and the image only depends on the coloring up to reparametrization.
For any element , pick an element sending to . We define the open affine piece of the pre-chomatic variety as
[TABLE]
The element then naturally identifies as an affine variety , where the correspondence preserves the image in . We write
[TABLE]
So long as , the open sets cover (since every coloring uses at most elements in ). In our case, is algebraically closed, hence infinite.
For each , we form the morphism as follows. Consider some coloring . Then take corresponding to the orientation of the edge , where and are the regions above and below , respectively, when is oriented to the right. We see then immediately that with these choices of , Equation A.1 is satisfied at every edge. In particular, the image of lies in and satisfies
[TABLE]
by construction. Now set the natural projection. Then by Lemma A.16, the previous equation implies
[TABLE]
In particular, if , then , and so
[TABLE]
But is injective, so the maps defined one each glue together to give some morphism satisfying
[TABLE]
In particular, again since is injective, only depends on the class of , and so descends to such that is equal to the identity on . Therefore, must also be surjective on rational points, and so it is a bijection, and so is in fact its inverse map as a map of sets. But both of these are rational maps, and since we are working over an algebraically closed field, the variety is completely described by its set of points, and so this is an isomorphism of varieties. ∎
The above proof goes through to show that induces a bijection of rational points so long as the open sets cover . So for , if we were only interested in establishing this bijection, we would be finished. Establishing an isomorphism of varieties in all cases, including when , is the following result.
Corollary A.19**.**
For any , is an isomorphism of -varieties.
Proof.
This is a consequence of [15, Proposition 2.7.1(viii)], noting that the the natural extension of to varieties (which is just the same we defined) is an isomorphism of -varieties. ∎
This completes the proof of Theorem A.9.
A.4. Examples
We present two examples to illustrate the correspondence between augmentations and colorings.
In the first example, depicted in Figure 21, we work over the field . Hence, consists of two elements, , and consists of the elements . Note that the information of actually only depends on , since is invariant under inversion, so . Hence, it suffices to only label once around each vertex as opposed to three times. A sample augmentation has values in green, with the information of in purple corresponding to the orientation in light blue. A corresponding (pre-)coloring is written in red. Note that there is a vertex around which the faces are , and the reader can find an edge such that this example corresponds to a -versal augmentation.
In the second example, depicted in Figure 22, we work over the field , with elements , satisfying . Since this field has characteristic , signs become unimportant, so we do not need to include a choice of orientation. However, the labels of do depend on the choice of face around the vertex , so we need to label all three corners around a vertex. We use the same colors as in the previous example.
A.5. A related combinatorial identity
A key idea in the proof of the theorem was that the precise values of the were not relevant, but rather the ratios between them around a given face. Consider to each face-vertex adjacency , we assign some value , of which there are values to assign. One thing we could to is try to impose conditions on the so that we precisely recreate what the coloring conditions coming from the cross ratio being the ratio of consecutive values. So suppose we have an edge between vertices and separating faces and . Then recall that the cross ratio should be encoded by both and . So the first condition is that for each edge as above,
[TABLE]
Additionally, one should have (as from the augmentation equations) that
[TABLE]
for each face .
Definition A.20**.**
We define the variety by the variety defined by Equations A.2 and A.3. These equations are invariant by multiplying all around a given face by an element of , or by multiplying all of them by an element of , and the quotient is called the -color variety.
In essence, Lemma A.12 can be thought of as producing a morphism , through which our morphism naturally factors. Implicit in this proof is the following proposition.
Proposition A.21**.**
As varieties, the natural morphism is an isomorphism.
Corollary A.22**.**
The natural morphism is also an isomorphism.
For an element and an edge , we shall set
[TABLE]
using the same notation of Equation A.2.
Remark A.23**.**
There is also a natural morphism , but it is not generally an isomorphism since it is not necessarily surjective on rational points. Indeed, surjectivity would require . So if is not closed under square roots, then there is no hope for this to be an isomorphism.
We present the following neat combinatorial identity coming from comparing this viewpoint. However, despite the simple nature of the identity, the author is not aware of a purely combinatorial way of obtaining the correct sign in the statement without first lifting to an augmentation.
Corollary A.24**.**
Given an element , one has
[TABLE]
where the left-hand product is taken over all edges and the right-hand product is taken over all face-vertex adjacencies.
Proof.
We have that descends to some element of , and hence comes from an augmentation , which in turn has some lift to some . This maps to some representing the same coloring as . Meanwhile, the equation we wish to prove is invariant under the action of , and so it suffices to prove the equation holds for and the corresponding . But in this case, we can write and in terms of the values. This yields
[TABLE]
where we write , , and for the edges around . Now recall is just the number of outgoing edges at . So one can think of where is if is outgoing and [math] otherwise. Hence, since each edge is outgoing in one vertex and ingoing in another, each edge contributes a minus sign to the total product. There are edges, so , and this completes the claim. ∎
Appendix B Vertex crossing with signs
In this appendix we verify that a tine-vertex crossing move leaves the differential invariant. We do this for all possible configurations of orientation.
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