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The transition matrix between the Specht and web bases is unipotent with additional vanishing entries

Heather M. Russell Department of Mathematics and Computer Science, University of Richmond, 28 Westhampton Way, Richmond, VA 23173 U.S.A. hrussell@richmond.edu  and  Julianna S. Tymoczko Department of Mathematics and Statistics, Smith College, Northampton, MA 01063 U.S.A. jtymoczko@smith.edu
Abstract.

We compare two important bases of an irreducible representation of the symmetric group: the web basis and the Specht basis. The web basis has its roots in the Temperley-Lieb algebra and knot-theoretic considerations. The Specht basis is a classic algebraic and combinatorial construction of symmetric group representations which arises in this context through the geometry of varieties called Springer fibers. We describe a graph that encapsulates combinatorial relations between each of these bases, prove that there is a unique way (up to scaling) to map the Specht basis into the web representation, and use this to recover a result of Garsia-McLarnan that the transition matrix between the Specht and web bases is upper-triangular with ones along the diagonal. We then strengthen their result to prove vanishing of certain additional entries unless a nesting condition on webs is satisfied. In fact we conjecture that the entries of the transition matrix are nonnegative and are nonzero precisely when certain directed paths exist in the web graph.

1. Introduction

In this paper we study two closely-related pairs of objects: 1) graphs equipped with an edge-labeling that represents the action of certain permutations, and 2) natural bases for representations of the symmetric group. Using properties of the graphs, we prove that the bases are related by a transition matrix that is upper-triangular with ones along the diagonal. Our presentation is combinatorial, though the underlying motivation is geometric and representation-theoretic (see below, or for more detail [2, 5, 18, 30, 32]).

The vertices of the graphs we study are classical combinatorial objects. In one graph, the vertices are standard Young tableaux of shape (n,n)(n,n): in other words they are ways to fill a 2×n2\times n grid with the integers 1,2,,2n1,2,\ldots,2n so that numbers increase left-to-right in each row and top-to-bottom in each column. Standard Young tableaux are fundamental objects not just in combinatorics but also in representation theory and geometry (see, e.g., Fulton’s book for an overview [9]). They arise in our context as a geometrically-natural characterization of the cells in a topological decomposition of a family of varieties called Springer fibers [10, 28, 29, 33].

In the second graph, the vertices are webs. Webs are drawn as arcs connecting pairs of integers 1i<j2n1\leq i<j\leq 2n on the number line. One other name is noncrossing matchings; as this suggests, these arcs must not intersect each other. In the literature, the webs we have just described are also called 𝔰𝔩2\mathfrak{sl}_{2} webs or Temperley-Lieb diagrams, and have been studied extensively [13, 15, 21, 27]. In general, there are webs for each 𝔰𝔩k\mathfrak{sl}_{k} that diagrammatically encode the representation theory of U(𝔰𝔩k)U(\mathfrak{sl}_{k}) and its quantum deformation (cf. [3]). In the quantum context, webs give rise to knot and link invariants including the Jones polynomial [14, 25]. Webs for other Lie types have also been studied [20].

This paper focuses on the algebraic applications of webs and tableaux rather than the geometric applications. Consider webs as a formal basis of a complex vector space. This vector space carries a natural S2nS_{2n}-action coming from the category of Uq(𝔰𝔩2)U_{q}(\mathfrak{sl}_{2}) representations (described further below). The resulting web representation is irreducible and in fact is the same as the irreducible S2nS_{2n}-representation on the classic Specht module of shape (n,n)(n,n), whose basis of Specht vectors is naturally indexed by the standard Young tableaux of shape (n,n)(n,n) [24, 28, 29].

Relating different bases of symmetric group representations is an extremely fertile field with a long tradition in symmetric function theory [22, Sections I.6 and III.6]. More recently Kazhdan-Lusztig and others compared the Springer basis to the Kazhdan-Lusztig basis, and in fact the Kazhdan-Lusztig polynomials encode the transition matrix between those bases [10, 16, 17]. Garsia-McLarnan relate the Kazhdan-Lusztig and Specht bases, showing the change-of-basis matrix with respect to a certain ordering of basis elements is upper-triangular with ones along the diagonal [11, Theorem 5.3]. In the context of this paper, the Kazhdan-Lusztig and web bases coincide [7], but this is not true in general [12]. Webs in our context also coincide with the dual canonical bases for certain tensor products of Uq(𝔰𝔩2)U_{q}(\mathfrak{sl_{2}}) representations, but again this is not true of webs for 𝔰𝔩k\mathfrak{sl}_{k} when k3k\geq 3 [6, 19].

This paper asks: how are the web basis for 𝔰𝔩2\mathfrak{sl}_{2} and the Specht basis related? This question has been indirectly addressed via the study of the Kazhdan-Lusztig and dual canonical bases and their relationships to the Specht and similar bases [11, 26]. The perspective of webs gives us new information about change-of-basis coefficients in the 𝔰𝔩2\mathfrak{sl}_{2} case and provides a foundation for studying more general web and Specht bases.

To relate these bases, we construct a web graph and a tableau graph with vertices of webs and standard Young tableaux respectively. Two standard tableaux have an edge between them in the tableau graph if one can be obtained from the other by exchanging ii and i+1i+1. This graph also appears in geometry, where it encodes information about the components of Springer fibers [23, Definitions 6.6 and 6.7] and in mathematical biology, where it encodes matchings of complementary base pairs of DNA [31]. Similar but different graphs occur naturally in other contexts, including combinatorics (for instance the Bruhat graph, see for an overview [1, Chapter 2]) and geometry (where it characterizes geometric relationships between components of Springer fibers [8]).

The web graph requires more technical background to describe explicitly so we defer details to Section 2. Intuitively the web representation can be thought of as coming from first twisting two adjacent strands in the web and then resolving according to traditional skein relations [28, Theorem 5.9]. The web graph has a directed edge from one web ww to another ww^{\prime} if this twisting-and-resolving process results in the combination w+ww+w^{\prime} and if ww^{\prime} has more nested arcs than ww.

Our first main result is Theorem 2.2, which proves that the web graph and the tableau graph are isomorphic as directed graphs via the traditional bijection between webs and standard tableaux [10]. We then use earlier results about the tableau graph [23] to conclude that the graphs are directed, acyclic graphs with a unique greatest element and a unique least element. Thus the reachability condition within the graph induces a poset structure on both webs and tableaux.

The language of tableaux better illuminates some properties of the graph while the language of webs is better suited to demonstrate other properties. For instance Section 3 shows that the tableau graph is a subgraph of the Bruhat graph. From this perspective Corollary 3.9 proves that distance in the tableau graph is measured by the number of inversions in certain permutations corresponding to tableaux. From the other perspective Section 4 describes a way to compute distance graphically using webs: distance from the origin is measured by the amount of nesting within a web. This allows us to interpret the partial order in terms of nesting and unnesting, which occupies the rest of Section 4.

As an application, we study the transition matrix between the web basis and the Specht basis. To construct this matrix, we explicitly give an S2nS_{2n}-equivariant isomorphism from the Specht module to web space, and in fact prove in Corollary 5.4 that this equivariant isomorphism is essentially unique. In an earlier paper, the authors constructed a map of representations from web space to the Specht module [29, Lemma 4.2], so we conclude that the previous map is the inverse of the one defined in this paper.

Our final results identify the Specht basis with its image in web space under this equivariant isomorphism and then analyze the transition matrix between the Specht and web bases. Theorem 5.5 proves that the transition matrix is upper-triangular with ones along the diagonal, which Garsia-McLarnan proved earlier using the Kazhdan-Lusztig basis [11]. Using our framework, we strengthen this result in Theorem 5.7 which shows that in addition the (w,w)(w,w^{\prime}) entry is zero unless www\preceq w^{\prime} according to the partial order induced by the web graph.

We make two conjectures that are supported by all current data: 1) For all www\preceq w^{\prime} the (w,w)(w,w^{\prime}) entry is nonzero, and 2) all entries in the transition matrix are nonnegative. We also conjecture that similar results hold for webs for 𝔰𝔩3\mathfrak{sl}_{3}.

The second author was partially supported by NSF DMS-1362855. The authors gratefully acknowledge helpful comments from Sabin Cautis, Mikhail Khovanov, Greg Kuperberg, Brendon Rhoades, Anne Schilling, and John Stembridge.

2. Preliminaries on Webs and Tableaux

2.1. Young tableaux and Specht modules

Let mm\in\mathbb{N} and let λ=(n1n2nk)\lambda=(n_{1}\geq n_{2}\geq\ldots\geq n_{k}) denote a partition of mm. A Young diagram of shape λ\lambda is a top- and left- justified collection of boxes where the ithi^{th} row has nin_{i} boxes. In this paper we focus on the case where m=2nm=2n for some positive integer nn and where the partition λ=(n,n)\lambda=(n,n). In this case Young diagrams of shape λ\lambda have two rows of equal length.

A Young tableau of shape λ\lambda is a filling of the Young diagram of shape λ\lambda with the numbers {1,,m}\{1,\ldots,m\} such that every number occurs exactly once. If the numbers increase strictly from left to right along rows and from top to bottom along columns, the tableau is standard. Denote by 𝒯n\mathcal{T}_{n} the set of standard Young tableaux of shape (n,n)(n,n). We remark that the number of elements of 𝒯n\mathcal{T}_{n} is the nthn^{th} Catalan number Cn=1n+1(2nn)C_{n}=\frac{1}{n+1}{2n\choose n}.

Let S2nS_{2n} be the symmetric group consisting of permutations of 2n2n elements. Denote by sis_{i} the permutation that transposes ii and i+1i+1 and leaves all other values fixed. It is natural to permute entries of tableaux as follows: for each Young tableau TT define siTs_{i}\cdot T to be the Young tableau obtained by swapping entries ii and i+1i+1 in TT. However, depending on the entries in TT it is possible that T𝒯nT\in\mathcal{T}_{n} while siT𝒯ns_{i}\cdot T\notin\mathcal{T}_{n}. In other words this action does not preserve the subset of standard Young tableaux.

Specht modules were developed in essence to turn this into a well-defined action of the symmetric group. Consider the complex vector space V𝒯nV^{\mathcal{T}_{n}} with basis indexed by the set of standard Young tableaux 𝒯n\mathcal{T}_{n}. Given T𝒯nT\in\mathcal{T}_{n} we denote the corresponding vector in V𝒯nV^{\mathcal{T}_{n}} by vTv_{T}. The vector space V𝒯nV^{\mathcal{T}_{n}} is called the Specht module for the partition (n,n)(n,n).

The Specht module V𝒯nV^{\mathcal{T}_{n}} is actually a subspace of a larger vector space generated by equivalence classes of tableaux called tabloids. A tabloid is an equivalence class of tableaux up to reordering of rows. Denote the tabloid containing a specific tableau TT by {T}\{T\}. The Specht vector vTv_{T} corresponding to a (not necessarily standard) tableau TT is defined as

vT=σCol(T)sign(σ){σT}v_{T}=\sum_{\sigma\in Col(T)}sign(\sigma)\{\sigma\cdot T\}

where Col(T)Col(T) is the group of permutations that reorder the columns of TT. The Specht module V𝒯nV^{\mathcal{T}_{n}} is the span of the Specht vectors, and it has basis given by the vectors corresponding to standard tableaux.

The natural symmetric group action on tableaux described above preserves tabloids and thus acts on the Specht module. In fact the Specht module is irreducible under this symmetric group action. We will need the following facts about this action.

  • Let TT be a standard Young tableau of shape (n,n)(n,n) and let σS2n\sigma\in S_{2n} be a permutation for which σT\sigma\cdot T is also a standard Young tableau. Then the action on Specht vectors satisfies

    (1) σvT=vσT.\sigma\cdot v_{T}=v_{\sigma\cdot T}.

    (See e.g. [9, Exercise 3, page 86].) We remark that if siT𝒯ns_{i}\cdot T\notin\mathcal{T}_{n} then it is still true that σvT=vσT\sigma\cdot v_{T}=v_{\sigma\cdot T} but the vector vσTv_{\sigma\cdot T} is no longer a basis vector of the Specht module.

  • Let T0T_{0} be the standard Young tableau of shape (n,n)(n,n) whose top row is filled with the odd numbers 1,3,5,,2n11,3,5,\ldots,2n-1 and whose bottom row is filled with the even numbers 2,4,6,,2n2,4,6,\ldots,2n. Then for each odd i=1,3,5,,2n1i=1,3,5,\ldots,2n-1

    (2) sivT0=vT0.s_{i}\cdot v_{T_{0}}=-v_{T_{0}}.

    To see this, observe that if T0T_{0} is the column-filled tableau defined above then siCol(T)s_{i}\in Col(T), and so the claim holds.

2.2. Webs

Next we describe webs and the S2nS_{2n}-action on web space. A web on 2n2n points is a nonintersecting arrangement of arcs above a horizontal axis connecting 2n2n vertices on the axis. We enumerate the vertices from left to right and reference arcs according to their endpoints, so (i,j)(i,j) is in the web ww if i<ji<j and vertices ii and jj are connected by an arc in ww. We sometimes know the endpoints of an arc but not their order, in which case we use the notation {i,j}\{i,j\}. The figures typically do not number the vertices in webs. Denote the set of all webs on 2n2n points by 𝒲n\mathcal{W}_{n}. Like standard Young tableaux of shape (n,n)(n,n) the set 𝒲n\mathcal{W}_{n} is enumerated by the Catalan numbers.

Let V𝒲nV^{\mathcal{W}_{n}} be the complex vector space with basis indexed by the set of webs 𝒲n\mathcal{W}_{n}. Given a web w𝒲nw\in\mathcal{W}_{n} we denote the corresponding vector in V𝒲nV^{\mathcal{W}_{n}} by ww. This differs from the notational convention for vectors in V𝒯nV^{\mathcal{T}_{n}} because we consider permutations acting both on the set 𝒯n\mathcal{T}_{n} and the vector space V𝒯nV^{\mathcal{T}_{n}} and these actions only sometimes coincide. Indeed only the Specht module V𝒯nV^{\mathcal{T}_{n}} admits a true group action. By contrast there is only one action of S2nS_{2n} on the vector space V𝒲nV^{\mathcal{W}_{n}}.

To define this action choose wV𝒲nw\in V^{\mathcal{W}_{n}} and siS2ns_{i}\in S_{2n}. The image siws_{i}\cdot w is:

siw={w if (i,i+1) is an arc in w, and otherwise w+w where w differs from w only in the two arcs incident to i and i+1, with w containing {i,j} and {i+1,k} and w containing (i,i+1) and {j,k}s_{i}\cdot w=\left\{\begin{array}[]{ll}-w&\textup{ if $(i,i+1)$ is an arc in $w$, and otherwise }\\ &\\ w+w^{\prime}&\begin{array}[]{l}\textup{ where $w^{\prime}$ differs from $w$ only in the two arcs incident to $i$ and $i+1$,}\\ \textup{ with $w$ containing $\{i,j\}$ and $\{i+1,k\}$ and $w^{\prime}$ containing $(i,i+1)$ and $\{j,k\}$}\end{array}\end{array}\right.

Note that the relative order of i,j,i,j, and kk determines if these arcs are nested or unnested.

With respect to this action V𝒲nV^{\mathcal{W}_{n}} is an irreducible representation and in fact coincides with the representation on the Specht module [24, 29]. One can also construct and study this representation via skew Howe duality [3].

2.3. The tableau graph and the web graph

We now construct two graphs, one with vertices given by standard Young tableaux and the other with vertices given by webs. Edges will come from the S2nS_{2n}-action on each object. We will then prove that these two graphs are isomorphic as directed graphs.

Let Γ𝒯n\Gamma^{\mathcal{T}_{n}} be the graph whose vertex set is 𝒯n\mathcal{T}_{n} with an edge between TT and TT^{\prime} if and only if there is a simple transposition such that siT=Ts_{i}\cdot T=T^{\prime}. We typically consider the graph to have labels on the edges, and label the edge between TT and TT^{\prime} by sis_{i} if siT=Ts_{i}\cdot T=T^{\prime}. We also consider the directed graph with same vertex set and edge set as Γ𝒯n\Gamma^{\mathcal{T}_{n}} but with each edge directed TsiTT\stackrel{{\scriptstyle s_{i}}}{{\longrightarrow}}T^{\prime} if ii is below i+1i+1 in TT. We use the same notation for both graphs, and call each the tableau graph. Figure 1 shows Γ𝒯3\Gamma^{\mathcal{T}_{3}}.

\young(123,456)\young(123,456)\young(124,356)\young(124,356)\young(125,346)\young(125,346)\young(134,256)\young(134,256)\young(135,246)\young(135,246)s3s_{3}s2s_{2}s4s_{4}s4s_{4}s2s_{2}

s3s_{3}s2s_{2}s4s_{4}s4s_{4}s2s_{2}

Figure 1. The (3,3)(3,3) tableau and web graphs

Let Γ𝒲n\Gamma^{\mathcal{W}_{n}} be the directed graph with vertex set 𝒲n\mathcal{W}_{n} and a labeled, directed edge wsiww\stackrel{{\scriptstyle s_{i}}}{{\longrightarrow}}w^{\prime} between w,w𝒲nw,w^{\prime}\in\mathcal{W}_{n} if and only if both

  • siw=w+ws_{i}\cdot w=w+w^{\prime} and

  • ww has unnested arcs (j,i)(j,i) and (i+1,k)(i+1,k).

(The first condition is a necessary condition for the edge to exist and the second determines its direction.) We call Γ𝒲n\Gamma^{\mathcal{W}_{n}} the web graph. Figure 1 shows Γ𝒲3\Gamma^{\mathcal{W}_{3}}.

Remark 2.1.

Note that the target endpoint ww^{\prime} of an edge wsiww\stackrel{{\scriptstyle s_{i}}}{{\longrightarrow}}w^{\prime} in the web graph must contain the arc (i,i+1)(i,i+1). Moreover the arc (i,i+1)(i,i+1) is nested under the arc (j,k)(j,k).

We use an explicit combinatorial bijection ψ:𝒯n𝒲n\psi:\mathcal{T}_{n}\rightarrow\mathcal{W}_{n} between standard Young tableaux and webs that arises from geometric considerations [10]. Given T𝒯nT\in\mathcal{T}_{n} the corresponding web ψ(T)\psi(T) is constructed by the following process. Begin with 2n2n evenly spaced vertices on a horizontal axis. Starting with the leftmost number in the bottom row of TT, connect the corresponding vertex to its nearest unoccupied lefthand neighbor. Repeat this process moving from left to right across the bottom row of TT. For example, recall that T0T_{0} is the standard tableau whose ithi^{th} column is filled with 2i12i-1 and 2i2i for each ii and define w0w_{0} to be the web with arcs (1,2),(3,4),,(2n1,2n)(1,2),(3,4),\ldots,(2n-1,2n). Then

ψ(T0)=w0.\psi(T_{0})=w_{0}.

Figure 1 shows more examples: the map ψ\psi sends each vertex in the tableau graph to the corresponding vertex in the web graph.

In fact the map ψ\psi induces an isomorphism between the directed graphs Γ𝒯n\Gamma^{\mathcal{T}_{n}} and Γ𝒲n\Gamma^{\mathcal{W}_{n}} as we now prove.

Theorem 2.2.

The directed graphs Γ𝒲n\Gamma^{\mathcal{W}_{n}} and Γ𝒯n\Gamma^{\mathcal{T}_{n}} are isomorphic. Furthermore the isomorphism is given by the bijection ψ\psi between tableaux and webs described above.

Proof.

Suppose TT and TT^{\prime} are two standard tableaux. Let ww be the web that corresponds to TT and ww^{\prime} be the web that corresponds to TT^{\prime}. The following are equivalent by the definitions:

  • entry ii is below i+1i+1 in TT

  • ii is a right endpoint and i+1i+1 is a left endpoint in ww

  • the web ww has a pair of unnested arcs (j,i)(j,i) and (i+1,k)(i+1,k)

There is an edge TsiTT\stackrel{{\scriptstyle s_{i}}}{{\longrightarrow}}T^{\prime} in the tableau graph if and only if siT=Ts_{i}\cdot T=T^{\prime} and ii is below i+1i+1 in TT. By above this is true if and only if ww and ww^{\prime} are identical except that ww contains arcs (j,i)(j,i) and (i+1,k)(i+1,k) while ww^{\prime} contains arcs (j,k)(j,k) and (i,i+1)(i,i+1). In other words, this is equivalent to the existence of the edge wsiww\stackrel{{\scriptstyle s_{i}}}{{\longrightarrow}}w^{\prime} in the web graph.

We conclude that TsiTT\stackrel{{\scriptstyle s_{i}}}{{\longrightarrow}}T^{\prime} if and only if wsiww\stackrel{{\scriptstyle s_{i}}}{{\longrightarrow}}w^{\prime} and therefore Γ𝒲n\Gamma^{\mathcal{W}_{n}} and Γ𝒯n\Gamma^{\mathcal{T}_{n}} are isomorphic as directed, labeled graphs via the bijection between tableaux and webs. ∎

Since the graphs are isomorphic, results from other papers on the tableau graph apply to the web graph [23, 31]. For instance, the following result collects several properties of the tableau graph that we will need.

Proposition 2.3 (Pagnon-Ressayre).

The web and tableau graphs are directed, acyclic graphs with a unique source and a unique sink.

Figure 1 shows that the corresponding undirected graph has cycles whenever nn is large enough. Note also that this proposition means the graph represents the Hasse diagram of a poset. Section 4 studies this poset structure graphically using webs.

While the two graphs are isomorphic, we retain the language and notation of both graphs throughout this manuscript for several reasons: 1) certain properties are easier to see using one interpretation and not the other; 2) each graph has its own “hidden properties” that the other doesn’t (e.g. the tableau graph can be thought of as an undirected graph because each sis_{i} acts as an involution when defined on a tableau).

3. Fundamental properties of the web and tableau graph

In this section we describe the graph Γ𝒯n\Gamma^{\mathcal{T}_{n}}. One key tool is viewing the tableau graph as a subgraph of the Bruhat graph; from that we obtain a way to measure distance in the tableau graph as the number of inversions of certain permutations.

First we identify explicitly the unique source and unique sink in the tableau (or web) graph. This unique source is the heart of the proof of representation theoretic Theorem 5.1.

Lemma 3.1.

The column-filled tableau T0T_{0} is the unique source in Γ𝒯n\Gamma^{\mathcal{T}_{n}}. The corresponding web w0w_{0} with arcs (1,2),(3,4),,(2n1,2n)(1,2),(3,4),\ldots,(2n-1,2n) is the unique source for Γ𝒲n\Gamma^{\mathcal{W}_{n}}.

The tableau whose first row is filled with {1,2,3,,n}\{1,2,3,\ldots,n\} is the unique sink in Γ𝒯n\Gamma^{\mathcal{T}_{n}}. The corresponding web has arcs (1,2n),(2,2n1),,(n,n+1)(1,2n),(2,2n-1),\ldots,(n,n+1) and is the unique sink for Γ𝒲n\Gamma^{\mathcal{W}_{n}}.

Proof.

We prove that w0w_{0} is a source using the web graph. All edges incident to w0w_{0} in Γ𝒲n\Gamma^{\mathcal{W}_{n}} are directed out since w0w_{0} contains no nested arcs.

We identify the sink via its tableau. Note that the tableau with {1,2,3,,n}\{1,2,3,\ldots,n\} along the first row is incident to just one edge, namely the edge that exchanges nn and n+1n+1. Since nn is on the top row we conclude that the tableau is the endpoint of the directed edge and is thus a sink. ∎

In the next few lemmas, we describe local properties of the graphs Γ𝒲n\Gamma^{\mathcal{W}_{n}} and Γ𝒯n\Gamma^{\mathcal{T}_{n}}. The first says that consecutive edges in a path have different labels.

Lemma 3.2.

Suppose that TsiTsjT′′T\stackrel{{\scriptstyle s_{i}}}{{\longrightarrow}}T^{\prime}\stackrel{{\scriptstyle s_{j}}}{{\longrightarrow}}T^{\prime\prime} in the tableau graph. Then iji\neq j.

Proof.

By definition of edges in Γ𝒯n\Gamma^{\mathcal{T}_{n}} we know ii is in the first row and i+1i+1 is in the second row in TT^{\prime}. Hence the edge from TT^{\prime} to T′′T^{\prime\prime} cannot have label sis_{i}. ∎

Similarly edges that are incident to the same tableau must have different labels, which is refined in the next lemma.

Lemma 3.3.

Let TT be a tableau. Suppose that TsiTT\stackrel{{\scriptstyle s_{i}}}{{\longrightarrow}}T^{\prime} and TsjT′′T\stackrel{{\scriptstyle s_{j}}}{{\longrightarrow}}T^{\prime\prime} are two distinct edges in the tableau graph. Then |ij|>1|i-j|>1.

Proof.

Two distinct edges directed out of TT must have different labels by definition, say sis_{i} and sjs_{j} for iji\neq j. The definition of sis_{i} and sjs_{j} implies that ii and jj are in the second row of TT but i+1i+1 and j+1j+1 are in the first row. Therefore ij+1i\neq j+1 and ji+1j\neq i+1 and so |ij|>1|i-j|>1. ∎

This leads immediately to the following corollary about the structure of the web and tableau graphs.

Corollary 3.4.

For each pair of edges TsiTT\stackrel{{\scriptstyle s_{i}}}{{\longrightarrow}}T^{\prime} and TsjT′′T\stackrel{{\scriptstyle s_{j}}}{{\longrightarrow}}T^{\prime\prime} in the tableau graph, there is a diamond formed by two directed paths TsiTsjT′′′T\stackrel{{\scriptstyle s_{i}}}{{\longrightarrow}}T^{\prime}\stackrel{{\scriptstyle s_{j}}}{{\longrightarrow}}T^{\prime\prime\prime} and TsjT′′siT′′′T\stackrel{{\scriptstyle s_{j}}}{{\longrightarrow}}T^{\prime\prime}\stackrel{{\scriptstyle s_{i}}}{{\longrightarrow}}T^{\prime\prime\prime} as shown in Figure 2.

Proof.

If siTs_{i}\cdot T and sjTs_{j}\cdot T are both standard and |ij|>1|i-j|>1 then sisjT=sjsiTs_{i}s_{j}T=s_{j}s_{i}T is also standard. ∎

T′′′T^{\prime\prime\prime}TTTT^{\prime}T′′T^{\prime\prime}sis_{i}sjs_{j}sjs_{j}sis_{i}
Figure 2. A diamond in the graph Γ𝒯n\Gamma^{\mathcal{T}_{n}}

The previous claim is a kind of “diamond lemma” for web and tableau graphs, specializing a similar lemma in the Bruhat graphs of permutations [1, Proposition 2.2.7]. This is not accidental: the tableau graph is in fact a subgraph of the well-known Bruhat graph, as we discuss in the rest of this section.

Given a tableau TT we can construct a permutation σT\sigma_{T} in one-line notation by reading the entries of TT in a specific order (see e.g. [4, Definition 3.5 and subsequent]). For our purposes one particular reading order is most useful, as defined next.

Definition 3.5.

For each tableau T𝒯nT\in\mathcal{T}_{n} construct a permutation σT\sigma_{T} by reading the entries of TT in the order that T0T_{0} is filled, namely down each column from the leftmost to the rightmost column.

For example the tableau T0T_{0} corresponds to the identity permutation 12342n1\hskip 10.00002pt2\hskip 10.00002pt3\hskip 10.00002pt4\cdots 2n while the word corresponding to the sink in the tableau graph is 1(n+1)2(n+2)3(n+3)n(2n)1\hskip 10.00002pt(n+1)\hskip 10.00002pt2\hskip 10.00002pt(n+2)\hskip 10.00002pt3\hskip 10.00002pt(n+3)\cdots n\hskip 10.00002pt(2n).

With this description, the following proposition is immediate.

Proposition 3.6.

The tableau graph is a subgraph of the Bruhat graph. The vertices consist of those permutations that correspond to standard Young tableaux of shape (n,n)(n,n) and the edges consist of those edges (i,i+1)(i,i+1) that connect vertices σ(i,i+1)σ\sigma\leftrightarrow(i,i+1)\sigma in the Bruhat graph.

Note that this is not an induced graph: there are edges corresponding to non-simple reflections in the Bruhat graph (and even in the Hasse diagram of Bruhat order) that do not appear in the tableau graph.

Remark 3.7.

The above discussion is a concise version of [23, Theorem 8.1]. The bijection between permutations and tableau used by Pagnon-Ressayre relates to ours by change of base point, since they do not associate the identity permutation to T0T_{0} [23, Theorem 8.9].

Recall that the number of inversions of a permutation in one-line notation is the number of instances of a pair ij\cdots i\cdots j\cdots with i>ji>j. Also recall that a product sj1sj2sjks_{j_{1}}s_{j_{2}}\cdots s_{j_{k}} of simple reflections is called reduced if there is no way to write the same permutation as a product of fewer simple reflections.

Lemma 3.8.

If there is a directed edge TsiTT\stackrel{{\scriptstyle s_{i}}}{{\longrightarrow}}T^{\prime} in the tableau graph then the number of inversions of σT\sigma_{T} is one fewer than the number of inversions of σT\sigma_{T^{\prime}}.

Suppose that Tsi1T1si2T2sikTkT\stackrel{{\scriptstyle s_{i_{1}}}}{{\longrightarrow}}T_{1}\stackrel{{\scriptstyle s_{i_{2}}}}{{\longrightarrow}}T_{2}\cdots\stackrel{{\scriptstyle s_{i_{k}}}}{{\longrightarrow}}T_{k} is a directed path in the tableau graph. Then si1si2siks_{i_{1}}s_{i_{2}}\cdots s_{i_{k}} is a reduced word in the permutation group.

Proof.

If an edge labeled sis_{i} is directed out of the tableau TT then ii is in the second row of TT and i+1i+1 is in the first row. Since TT is standard ii must be in a column to the left of the column of i+1i+1 and so ii is to the left of i+1i+1 in σT\sigma_{T}. Thus the pair i,i+1i,i+1 do not contribute an inversion in σT\sigma_{T} and by the same argument they do in σT\sigma_{T^{\prime}}. The rest of the entries are the same so the first claim holds. We can restate the second claim as follows:

  • the permutation σTk\sigma_{T_{k}} has kk more inversions than σT\sigma_{T} and

  • the permutations satisfy σTk=si1si2sikσT\sigma_{T_{k}}=s_{i_{1}}s_{i_{2}}\cdots s_{i_{k}}\sigma_{T}.

The permutation si1si2siks_{i_{1}}s_{i_{2}}\cdots s_{i_{k}} thus has kk inversions and so is a reduced word [1, Section 1.4, Proposition 1.5.2]. ∎

This result says that directed paths in the tableau graph correspond to reduced words for permutations. However note that there could be reduced words for a permutation that can’t be constructed from paths in the tableau graph, since some simple reflections label edges that are not in the tableau graph.

We close this section by noting that distance in the graph is counted by the inversions in σT\sigma_{T}.

Corollary 3.9.

For each tableau TT in the graph, the distance dist(T0,T)dist(T_{0},T) between TT and T0T_{0} is the same as the number of inversions of σT\sigma_{T}.

Proof.

Let TT be a tableau. The distance dist(T0,T)dist(T_{0},T) is the length of a directed path from T0σTT_{0}\stackrel{{\scriptstyle\sigma}}{{\longrightarrow}}T. By Lemma 3.8 this is also the length of the permutation σ\sigma which is by definition σT\sigma_{T}. ∎

4. Nesting and the partial order in the web graph

This section explores the partial order from the perspective of the web graph. The main results prove that the partial order (and the statistics that arise from it, including distance from the source) can be interpreted easily in terms of a graphical property of webs. This property, called nesting, is defined next.

Definition 4.1.

For each arc aa in a web ww, let n(a)n(a) be the number of arcs that aa is nested beneath in ww. Define the nesting number n(w)n(w) of a web to be the sum of the values n(a)n(a) taken over all arcs in ww.

The next result shows how nesting numbers change when exactly two arcs are nested or unnested in a particular web. In the proof, we use the notion of an umbrella arc defined as follows.

Definition 4.2.

Let a=(r,s)a=(r,s) be an arc in the web ww. The arc b=(r,s)b=(r^{\prime},s^{\prime}) is the umbrella arc of aa if r<r<s<sr^{\prime}<r<s<s^{\prime} and there is no arc c=(r′′,s′′)c=(r^{\prime\prime},s^{\prime\prime}) with r<r′′<r<s<s′′<sr^{\prime}<r^{\prime\prime}<r<s<s^{\prime\prime}<s^{\prime}. If there is no such arc, we say aa has no umbrella arc.

jjjj^{\prime}kkkk^{\prime}ww
jjjj^{\prime}kkkk^{\prime}ww^{\prime}
Figure 3. n(w)=n(w)+kjn(w^{\prime})=n(w)+k-j^{\prime}
Lemma 4.3.

Suppose ww is a web with arcs (j,j)(j,j^{\prime}) and (k,k)(k,k^{\prime}) where j<kj^{\prime}<k, and ww^{\prime} is the web with arcs (j,k)(j,k^{\prime}) and (j,k)(j^{\prime},k) that is otherwise identical to ww. Then n(w)=n(w)+kjn(w)+1n(w^{\prime})=n(w)+k-j^{\prime}\geq n(w)+1.

Proof.

If there were an arc in ww with exactly one endpoint between jj^{\prime} and kk then this arc would cross (j,k)(j,k^{\prime}) in ww^{\prime} violating our hypotheses. It follows that (j,j)(j,j^{\prime}) and (k,k)(k,k^{\prime}) in ww and (j,k)(j,k^{\prime}) in ww^{\prime} all have the same umbrella arc and so

nw((j,j))=nw((k,k))=nw((j,k)).n_{w}((j,j^{\prime}))=n_{w}((k,k^{\prime}))=n_{w^{\prime}}((j,k^{\prime})).

Observe that (j,k)(j^{\prime},k) has umbrella arc (j,k)(j,k^{\prime}) in ww^{\prime} and hence nw((j,k))=nw((j,k))+1n_{w^{\prime}}((j^{\prime},k))=n_{w^{\prime}}((j,k^{\prime}))+1.

Now let a=(r,s)a=(r,s) be an arc common to ww and ww^{\prime}. We compare nw(a)n_{w}(a) and nw(a)n_{w^{\prime}}(a).

  • If aa is to the left of jj (namely r<s<jr<s<j), to the right of kk^{\prime} (namely k<r<sk^{\prime}<r<s), or above the arcs (namely r<j<k<sr<j<k^{\prime}<s) then nw(a)=nw(a)n_{w}(a)=n_{w^{\prime}}(a).

  • If aa is beneath arc (j,j)(j,j^{\prime}) in ww then j<r<s<jj<r<s<j^{\prime} and hence aa is beneath arc (j,k)(j,k^{\prime}) but not (j,k)(j^{\prime},k) in ww^{\prime}. Thus nw(a)=nw(a)n_{w}(a)=n_{w^{\prime}}(a). If k<r<s<kk<r<s<k^{\prime} then by a symmetric argument nw(a)=nw(a)n_{w}(a)=n_{w^{\prime}}(a).

  • If aa is between arcs (j,j)(j,j^{\prime}) and (k,k)(k,k^{\prime}) in ww then j<r<s<kj^{\prime}<r<s<k^{\prime}. Therefore aa has the same umbrella arc as (j,j)(j,j^{\prime}) and (k,k)(k,k^{\prime}) in ww and so

    nw(a)=nw((j,j))=nw((k,k)).n_{w}(a)=n_{w}((j,j^{\prime}))=n_{w}((k,k^{\prime})).

    However aa has umbrella arc (j,k)(j^{\prime},k) in ww^{\prime} so nw(a)=nw(a)+2n_{w^{\prime}}(a)=n_{w}(a)+2.

Summing over all arcs in ww^{\prime} we conclude that

n(w)=n(w)+1+2(kj12)=n(w)+kjn(w^{\prime})=n(w)+1+2\left(\frac{k^{\prime}-j-1}{2}\right)=n(w)+k^{\prime}-j

This leads to a collection of small but important corollaries about how the nesting number changes in the web graph.

Corollary 4.4.

Suppose that www\rightarrow w^{\prime} is an edge in the web graph. Then n(w)=n(w)+1n(w^{\prime})=n(w)+1.

Proof.

Since www\rightarrow w^{\prime} is an edge in the web graph, there is a simple transposition sis_{i} with siw=w+ws_{i}\cdot w=w+w^{\prime}. Furthermore the webs ww and ww^{\prime} are identical except that ww has arcs (j,i)(j,i) and (i+1,k)(i+1,k) while ww^{\prime} has arcs (j,k)(j,k) and (i,i+1)(i,i+1). The result follows from Lemma 4.3. ∎

It follows that distance from the web w0w_{0} is the same as the nesting number.

Corollary 4.5.

In the web graph the distance and nesting number are the same, and both are the same as the number of inversions of the permutation corresponding to TT in Definition 3.5:

dist(w0,w)=n(w)=# inversions of σψ1(w)\textup{dist}(w_{0},w)=n(w)=\#\textup{ inversions of }\sigma_{\psi^{-1}(w)}
Proof.

We prove this inductively. The base case is true since n(w0)=0n(w_{0})=0. Consider a web ww^{\prime} that is distance kk from w0w_{0}. Then there is an edge www\rightarrow w^{\prime} from a web ww whose distance from w0w_{0} is n(w)=k1n(w)=k-1 by the inductive hypothesis. Corollary 4.4 and Corollary 3.9 complete the proof. ∎

Moreover there are only two ways the nesting number can change when acting on a web by sis_{i}.

Corollary 4.6.

Assume that siw=w+ws_{i}\cdot w=w+w^{\prime} where www\neq w^{\prime}. Then either n(w)+1=n(w)n(w)+1=n(w^{\prime}) or n(w)>n(w)n(w)>n(w^{\prime}).

Proof.

Note that (i,i+1)(i,i+1) is not an arc in ww since otherwise siw=ws_{i}\cdot w=-w. Thus ww has two distinct arcs incident on ii and i+1i+1, say with (unordered) endpoints {i,j}\{i,j\} and {i+1,j}\{i+1,j^{\prime}\}.

If j<i<i+1<jj<i<i+1<j^{\prime} then the arcs are unnested. Thus there is an edge www\rightarrow w^{\prime} in the web graph labeled sis_{i} and so the nesting number increases as n(w)+1=n(w)n(w)+1=n(w^{\prime}) by Corollary 4.4.

If not then either j<j<i<i+1j^{\prime}<j<i<i+1 or i<i+1<j<ji<i+1<j^{\prime}<j since the arcs are noncrossing. This time Lemma 4.3 implies that the nesting number drops. ∎

In fact the previous result could be refined since Lemma 4.3 says that the nesting number drops by one if j=i1j=i-1 and j<j<i<i+1j^{\prime}<j<i<i+1, by one if j=i+2j^{\prime}=i+2 and i<i+1<j<ji<i+1<j^{\prime}<j, and by at least three for any other in any other case when j<j<i<i+1j^{\prime}<j<i<i+1 or i<i+1<j<ji<i+1<j^{\prime}<j.

The next collection of results will further analyze the partial order \preceq and show that certain natural web properties (e.g. two arcs are nested or unnested) can be interpreted directly in terms of \preceq. First we show that in the web graph at most one edge labeled sis_{i} is directed into a given web ww.

Lemma 4.7.

Let w𝒲nw\in\mathcal{W}_{n} with arc (i,i+1)(i,i+1). If (i,i+1)(i,i+1) has an umbrella arc then there is exactly one web ww^{\prime} for which there is an edge www^{\prime}\rightarrow w labeled sis_{i}. If (i,i+1)(i,i+1) has no umbrella arc then there is no edge labeled sis_{i} directed into ww.

Proof.

The endpoint of any edge labeled sis_{i} is a web containing the arc (i,i+1)(i,i+1) where the nesting number of arc (i,i+1)(i,i+1) is at least one, so if (i,i+1)(i,i+1) has no umbrella arc then there is no edge www^{\prime}\rightarrow w labeled sis_{i}.

If (i,i+1)(i,i+1) has an umbrella arc (j,k)(j,k) then consider the web ww^{\prime} with arcs (j,i)(j,i) and (i+1,k)(i+1,k) that otherwise agrees with ww. On the one hand siw=w+ws_{i}\cdot w^{\prime}=w^{\prime}+w by construction. On the other hand suppose that TT^{\prime} and TT are the tableaux corresponding to ww^{\prime} and ww respectively and consider the tableau graph, which is isomorphic to the web graph. The map sis_{i} is defined on TT because the fact that siT=Ts_{i}\cdot T^{\prime}=T implies that ii and i+1i+1 are in different rows and columns of TT. The map sis_{i} is a well-defined involution on its domain so exactly one edge incident to TT in the tableau graph is labeled sis_{i}. This proves the claim in this case. ∎

We can also count the number of ways of acting by sis_{i} to reduce nesting number and obtain a web ww. We think of these as “invisible backward edges” in the graph Γ𝒲n\Gamma^{\mathcal{W}_{n}} as illustrated in Figure 4.

n(w)=4n(w)=4n(w1)=n(w2)=5n(w^{\prime}_{1})=n(w^{\prime}_{2})=5n(w3)=7n(w^{\prime}_{3})=7s6s_{6}s6s_{6}s6s_{6}
Figure 4. There are three webs with s6wi=wi+ws_{6}\cdot w^{\prime}_{i}=w^{\prime}_{i}+w and n(wi)>n(w)n(w_{i}^{\prime})>n(w).
Lemma 4.8.

Let w𝒲nw\in\mathcal{W}_{n} with arc (i,i+1)(i,i+1). The number of webs ww^{\prime} such that siw=w+ws_{i}\cdot w^{\prime}=w^{\prime}+w and n(w)>n(w)n(w^{\prime})>n(w) is the number of arcs in ww with the same umbrella arc as (i,i+1)(i,i+1).

Proof.

Suppose that (j,k)(j,k) has the same umbrella arc as (i,i+1)(i,i+1) in ww. It follows that either k<j<i<i+1k<j<i<i+1 or i<i+1<k<ji<i+1<k<j. In other words (j,k)(j,k) is either to the left of ii or to the right of i+1i+1. Define ww^{\prime} to be the web with arcs (j,i+1)(j,i+1) and (k,i)(k,i) that otherwise agrees with ww. By construction siw=w+ws_{i}\cdot w^{\prime}=w^{\prime}+w and n(w)>n(w)n(w^{\prime})>n(w).

Now suppose that (j,k)(j,k) does not have the same umbrella arc as (i,i+1)(i,i+1) in ww. Then there is an arc in ww with exactly one endpoint between (j,k)(j,k) and (i,i+1)(i,i+1). In that case there is no way to change only the arcs incident to the endpoints j,k,i,i+1j,k,i,i+1 in ww without violating the noncrossing condition, so there is no web ww^{\prime} that differs from ww only on the endpoints j,k,i,i+1j,k,i,i+1. This proves the claim. ∎

iii+1i\!+\!1ww

\stackrel{{\scriptstyle\cdots}}{{\longrightarrow}} iii+1i\!+\!1ww^{\prime}       iii+1i\!+\!1ww \stackrel{{\scriptstyle\cdots}}{{\longrightarrow}} iii+1i\!+\!1ww^{\prime}

Figure 5. A path exists from ww to ww^{\prime} in Γ𝒲n\Gamma^{\mathcal{W}_{n}}, so www\preceq w^{\prime}.

In the next lemma we show that it is always possible to pull an arc over a sub-web diagram, as shown in Figure 5.

Lemma 4.9.

Suppose that ww^{\prime} is obtained from ww by expanding one arc to form an umbrella over a larger subdiagram, as in Figure 5. Then www\preceq w^{\prime}.

Proof.

The argument is the same whether we expand the umbrella to the left or to the right, so we consider only the case of expanding to the left as shown on the left in Figure 5.

We proceed by induction on the number of arcs in the web ww. If there are exactly two arcs then ww has arcs (1,2)(1,2) and (3,4)(3,4) while ww^{\prime} has arcs (1,4)(1,4) and (2,3)(2,3). In this case wsiww\stackrel{{\scriptstyle s_{i}}}{{\longrightarrow}}w^{\prime} is an edge in the web graph so www\preceq w^{\prime}.

Assume the claim holds for all webs with nn arcs, and let w,ww,w^{\prime} be webs with n+1n+1 arcs arranged as shown on the left of Figure 5. Consider the intermediate web w′′w^{\prime\prime} that is identical to ww except w′′w^{\prime\prime} has arcs (1,2n+2)(1,2n+2) and (i,i+1)(i,i+1) whereas ww has arcs (1,i)(1,i) and (i+1,2n+2)(i+1,2n+2) as shown in Figure 6.

iii+1i\!+\!1w′′w^{\prime\prime}
Figure 6. There is an edge wsiw′′w\stackrel{{\scriptstyle s_{i}}}{{\longrightarrow}}w^{\prime\prime} in Γ𝒲n\Gamma^{\mathcal{W}_{n}}.

There is an edge wsiw′′w\stackrel{{\scriptstyle s_{i}}}{{\longrightarrow}}w^{\prime\prime} in the web graph. Use the inductive hypothesis on the collection of arcs on vertices 2,,i+12,\ldots,i+1 to obtain a directed path in the web graph from w′′w^{\prime\prime} to ww^{\prime}. We conclude www\preceq w^{\prime} as desired. ∎

We use the previous lemma to show that any pair of webs that differ in only two arcs have a directed path between them in the web graph.

Theorem 4.10.

Suppose that ww and ww^{\prime} differ only in the arcs incident to vertices j<j<k<kj<j^{\prime}<k<k^{\prime} and suppose that ww contains arcs (j,j)(j,j^{\prime}) and (k,k)(k,k^{\prime}) while ww^{\prime} contains arcs (j,k)(j,k^{\prime}) and (j,k)(j^{\prime},k) as shown in Figure 7. Then www\preceq w^{\prime}.

Proof.

The proof follows from repeated applications of Lemma 4.9. Figure 7 shows the key intermediate steps. First apply Lemma 4.9 to find a path from ww to the web w1w_{1} obtained by moving the left endpoint of arc (k,k)(k,k^{\prime}) over the arcs between (j,j)(j,j^{\prime}) and (k,k)(k,k^{\prime}). Next there is an edge labeled sjs_{j^{\prime}} from w1w_{1} to w2w_{2} by construction. Finally ww^{\prime} is obtained from w2w_{2} by expanding the arc (j,j+1)(j^{\prime},j^{\prime}+1) to form an umbrella over the shaded region indicated in Figure 7, so Lemma 4.9 guarantees a directed path from w2w_{2} to ww^{\prime}. Thus there is a directed path from ww to ww^{\prime} as desired. ∎

jjjj^{\prime}kkkk^{\prime}ww

\preceq jjjj^{\prime}kkkk^{\prime}w1w_{1} sj\stackrel{{\scriptstyle s_{j^{\prime}}}}{{\longrightarrow}} jjjj^{\prime}kkkk^{\prime}w2w_{2} \preceq jjjj^{\prime}kkkk^{\prime}ww^{\prime}

Figure 7. Path between ww and ww^{\prime} in the web graph
Remark 4.11.

Khovanov uses a partial order on the set 𝒲n\mathcal{W}_{n} to relate knot invariants to the cohomology of (n,n)(n,n) Springer varieties. His partial order is determined via a directed graph with edges www\rightarrow w^{\prime} whenever ww and ww^{\prime} are related as in Figure 3, so the edge set in Γ𝒲n\Gamma^{\mathcal{W}_{n}} is a subset of the edge set in Khovanov’s graph. Theorem 4.10 implies Khovanov’s partial order and the one described here coincide. Distance in Khovanov’s setting is in general shorter because there are more edges in his graph and distance is defined via the shortest undirected path.

5. An equivariant map relating the Specht and web bases

Let V𝒯nV^{\mathcal{T}_{n}} and V𝒲nV^{\mathcal{W}_{n}} be the complex S2nS_{2n} representations generated by complex linear combinations of Specht vectors of shape (n,n)(n,n) and webs of shape (n,n)(n,n) respectively. In this section we define a map ϕ:V𝒯nV𝒲n\phi:V^{\mathcal{T}_{n}}\rightarrow V^{\mathcal{W}_{n}} that is equivariant with respect to the actions in Section 2 and then study its properties. We begin with an observation about any such map: it must send the Specht vector vT0v_{T_{0}} to the web w0w_{0}.

Theorem 5.1.

Let ϕ:V𝒯nV𝒲n\phi:V^{\mathcal{T}_{n}}\rightarrow V^{\mathcal{W}_{n}} be a linear map. If ϕ\phi is S2nS_{2n}-equivariant then ϕ(vT0)=aw0\phi\left(v_{T_{0}}\right)=aw_{0} for some aa\in\mathbb{C}.

Proof.

Let ϕ(vT0)=w𝒲ncww\phi\left(v_{T_{0}}\right)=\sum_{w\in\mathcal{W}_{n}}c_{w}w with cwc_{w}\in\mathbb{C}. Let ii be odd and consider w𝒲nw\in\mathcal{W}_{n}. If (i,i+1)w(i,i+1)\in w then sicww=cwws_{i}\cdot c_{w}w=-c_{w}w. If not then siw=w+ws_{i}\cdot w=w+w^{\prime} for some web ww^{\prime} containing the arc (i,i+1)(i,i+1). Partitioning 𝒲n\mathcal{W}_{n} into webs that contain the arc (i,i+1)(i,i+1) and webs that do not, we see

siϕ(vT0)\displaystyle s_{i}\cdot\phi\left(v_{T_{0}}\right) =(i,i+1)ww𝒲nsicww+(i,i+1)ww𝒲nsicww\displaystyle=\sum_{\stackrel{{\scriptstyle w\in\mathcal{W}_{n}}}{{(i,i+1)\in w}}}s_{i}\cdot c_{w}w+\sum_{\stackrel{{\scriptstyle w\in\mathcal{W}_{n}}}{{(i,i+1)\notin w}}}s_{i}\cdot c_{w}w
=(i,i+1)ww𝒲ncww+(i,i+1)ww𝒲ncww+(i,i+1)ww𝒲nbww\displaystyle=\sum_{\stackrel{{\scriptstyle w\in\mathcal{W}_{n}}}{{(i,i+1)\in w}}}-c_{w}w+\sum_{\stackrel{{\scriptstyle w\in\mathcal{W}_{n}}}{{(i,i+1)\notin w}}}c_{w}w+\sum_{\stackrel{{\scriptstyle w\in\mathcal{W}_{n}}}{{(i,i+1)\in w}}}b_{w}w

where the third sum in the final step above collects webs with arc (i,i+1)(i,i+1) that came from acting on a web without arc (i,i+1)(i,i+1). (Note that bwb_{w} is one of the coefficients from the middle sum, reindexed.) Recall from Equation (2) that sivT0=vT0s_{i}\cdot v_{T_{0}}=-v_{T_{0}}. Since ϕ\phi is equivariant we know that siϕ(vT0)=ϕ(vT0)s_{i}\cdot\phi\left(v_{T_{0}}\right)=-\phi\left(v_{T_{0}}\right). Considering the middle sum in the final step above, we conclude that cw=0c_{w}=0 for all w𝒲nw\in\mathcal{W}_{n} with (i,i+1)w(i,i+1)\notin w. The equation above holds for all odd ii and so cw=0c_{w}=0 unless ww contains arcs (1,2),(3,4),,(2n1,2n)(1,2),(3,4),\ldots,(2n-1,2n). The only web containing all of these arcs is w0w_{0}. We conclude that ϕ(vT0)=aw0\phi\left(v_{T_{0}}\right)=aw_{0} for some aa\in\mathbb{C} as desired. ∎

This motivates the following definition of a linear map between the Specht module and web space.

Definition 5.2.

Let T0T_{0} be the column-filled tableau of shape (n,n)(n,n) and w0w_{0} the corresponding web. Define the map ϕ:V𝒯nV𝒲n\phi:V^{\mathcal{T}_{n}}\rightarrow V^{\mathcal{W}_{n}} to be ϕ(vT)=σw0\phi(v_{T})=\sigma\cdot w_{0} where σ=si1sik\sigma=s_{i_{1}}\cdots s_{i_{k}} labels a directed path from T0T_{0} to TT in the tableau graph.

We first confirm that the map is in fact well-defined.

Lemma 5.3.

The map ϕ\phi is well-defined. i.e. ϕ(vT)\phi(v_{T}) is independent of choice of path σ\sigma from T0T_{0} to TT.

Proof.

Since the tableau graph is connected, there is always a path from T0T_{0} to an arbitrary tableau TT. Say that σ=si1sik\sigma=s_{i_{1}}\cdots s_{i_{k}} and σ=sj1sjk\sigma^{\prime}=s_{j_{1}}\cdots s_{j_{k}} label two directed paths from T0T_{0} to TT in the tableau graph. This means that σT0=σT0=T\sigma\cdot T_{0}=\sigma^{\prime}\cdot T_{0}=T by definition of the tableau graph. This means the Specht vectors satisfy σvT0=σvT0=vT\sigma\cdot v_{T_{0}}=\sigma^{\prime}\cdot v_{T_{0}}=v_{T} by Equation (1).

The tableau graph is a subgraph of the Bruhat graph and hence σ=σ\sigma=\sigma^{\prime} as permutations. Then we have σw0=σw0\sigma\cdot w_{0}=\sigma^{\prime}\cdot w_{0} since V𝒲nV^{\mathcal{W}_{n}} is a representation of S2nS_{2n}. We conclude that ϕ(vT)\phi(v_{T}) is independent of path chosen. ∎

This allows us to prove that the map ϕ\phi is equivariant with respect to the S2nS_{2n} actions defined in Section 2. In fact this essentially means that ϕ\phi is the only equivariant isomorphism between these two representations.

Corollary 5.4.

The map ϕ\phi is S2nS_{2n}-equivariant and is (up to scaling) the only equivariant isomorphism V𝒯nV𝒲nV^{\mathcal{T}_{n}}\rightarrow V^{\mathcal{W}_{n}}.

Proof.

Observe that ϕ(vT0)=w0\phi(v_{T_{0}})=w_{0}. By Theorem 5.1 and the definition of ϕ\phi we conclude that any equivariant map on V𝒯nV^{\mathcal{T}_{n}} agrees with ϕ\phi on the basis of V𝒯nV^{\mathcal{T}_{n}}. There is at least one equivariant map between V𝒯nV^{\mathcal{T}_{n}} and V𝒲nV^{\mathcal{W}_{n}} because the two representations are isomorphic. Since a linear map is determined by what it does on a basis, we conclude ϕ\phi must be equivariant and thus is (up to scaling) the only equivariant isomorphism between V𝒯nV^{\mathcal{T}_{n}} and V𝒲nV^{\mathcal{W}_{n}}. ∎

Let TT^{\prime} be a standard tableau with corresponding web ww^{\prime}. Then, using notation similar to the proof of Theorem 5.1, we can express ϕ(vT)\phi(v_{T^{\prime}}) as follows:

ϕ(vT)=w𝒲ncwww.\phi(v_{T^{\prime}})=\sum_{w\in\mathcal{W}_{n}}c_{w}^{w^{\prime}}w.

Our goal is to describe the coefficients cwwc_{w}^{w^{\prime}} coming from the map ϕ\phi. The following theorem also follows from work of Garsia-McLarnan relating the Kazhdan-Lusztig basis to Young’s natural basis [11, Theorem 5.3].

Theorem 5.5.

The map ϕ\phi is upper-triangular with ones along the diagonal.

Proof.

Complete the partial order on webs coming from the web graph to a total order << in a way that also respects nesting numbers, meaning that if n(w~)<n(w)n(\tilde{w})<n(w^{\prime}) then the web vectors satisfy w~<w\tilde{w}<w^{\prime}. Consider the matrix for ϕ\phi with respect to that ordering of the web basis.

Now let TT^{\prime} be a standard tableau. It is sufficient to show that for ϕ(vT)\phi(v_{T^{\prime}}) the following statements hold:

  1. (1)

    If cww0c_{w}^{w^{\prime}}\neq 0 then n(w)n(w)n(w)\leq n(w^{\prime}) with n(w)=n(w)n(w)=n(w^{\prime}) if and only if w=ww=w^{\prime} and

  2. (2)

    cww=1c_{w^{\prime}}^{w^{\prime}}=1.

We proceed via induction on the distance from T0T_{0} or equivalently the nesting number of the associated web. The base case is true by definition since ϕ(vT0)=w0\phi(v_{T_{0}})=w_{0}.

Assume the result is true for all tableaux of distance less than kk from T0T_{0} and let TT^{\prime} be a tableau with distance kk from T0T_{0}. This means there is an edge T′′siTT^{\prime\prime}\stackrel{{\scriptstyle s_{i}}}{{\longrightarrow}}T^{\prime} in the tableau graph from a tableau T′′T^{\prime\prime} at distance k1k-1 from T0T_{0}. By the inductive hypothesis

ϕ(vT′′)=w𝒲ncww′′w\phi(v_{T^{\prime\prime}})=\sum_{w\in\mathcal{W}_{n}}c_{w}^{w^{\prime\prime}}w

with the coefficients cww′′c_{w}^{w^{\prime\prime}} satisfying properties (1) and (2). Moreover by definition of ϕ\phi we have

ϕ(vT)=siϕ(vT′′)=w𝒲ncww′′siw.\phi(v_{T^{\prime}})=s_{i}\cdot\phi(v_{T^{\prime\prime}})=\sum_{w\in\mathcal{W}_{n}}c_{w}^{w^{\prime\prime}}s_{i}\cdot w.

Consider w𝒲nw\in\mathcal{W}_{n} such that cww′′0c_{w}^{w^{\prime\prime}}\neq 0 and ww′′w\neq w^{\prime\prime}. Then n(w)<n(w′′)n(w)<n(w^{\prime\prime}) by hypothesis. After acting by sis_{i} either siw=ws_{i}\cdot w=-w or siw=w+w¯s_{i}\cdot w=w+\bar{w} for some web w¯\bar{w}. Corollary 4.6 implies that w¯\bar{w} has nesting number at most n(w′′)n(w^{\prime\prime}) and hence strictly smaller than n(w)n(w^{\prime}). Thus all webs that come from terms other than w′′w^{\prime\prime} in ϕ(vT′′)\phi(v_{T^{\prime\prime}}) are strictly less than ww^{\prime} in the order coming from the web graph.

Now consider the action of sis_{i} on w′′w^{\prime\prime}. By assumption siw′′=w′′+ws_{i}\cdot w^{\prime\prime}=w^{\prime\prime}+w^{\prime}. We conclude both that ww^{\prime} is the only web with nesting number n(w)n(w^{\prime}) with a nonzero coefficient in ϕ(vT)\phi(v_{T^{\prime}}) and that its coefficient is cw′′w′′=1c_{w^{\prime\prime}}^{w^{\prime\prime}}=1 as desired. ∎

We now refine this result: if cww0c_{w}^{w^{\prime}}\neq 0 then not only is www\leq w^{\prime} but in fact www\preceq w^{\prime} in the partial order defined by the directed web graph. Our argument will proceed much like the previous result.

We begin with a lemma that, loosely speaking, stacks together the “diamond lemma” repeatedly (namely Corollary 3.4).

Lemma 5.6.

Assume ww′′′w\preceq w^{\prime\prime\prime} with w′′′siww^{\prime\prime\prime}\stackrel{{\scriptstyle s_{i}}}{{\longrightarrow}}w^{\prime} and wsiw′′w\stackrel{{\scriptstyle s_{i}}}{{\longrightarrow}}w^{\prime\prime}. Then w′′ww^{\prime\prime}\preceq w^{\prime}.

Proof.

Let ww, ww^{\prime}, w′′w^{\prime\prime}, and w′′′w^{\prime\prime\prime} be as in the statement above. Since ww′′′w\preceq w^{\prime\prime\prime} there is a path

wsj1w1sj2w2sj3sjkw′′′siww\stackrel{{\scriptstyle s_{j_{1}}}}{{\longrightarrow}}w_{1}\stackrel{{\scriptstyle s_{j_{2}}}}{{\longrightarrow}}w_{2}\stackrel{{\scriptstyle s_{j_{3}}}}{{\longrightarrow}}\cdots\stackrel{{\scriptstyle s_{j_{k}}}}{{\longrightarrow}}w^{\prime\prime\prime}\stackrel{{\scriptstyle s_{i}}}{{\longrightarrow}}w^{\prime}

in the web graph. We prove that there is also a path in the web graph from w′′w^{\prime\prime} to ww^{\prime} using induction on k=d(w,w′′′)k=d(w,w^{\prime\prime\prime}).

If k=0k=0 then w=w′′′w=w^{\prime\prime\prime}. Since edges come from a well-defined symmetric group action on V𝒲nV^{\mathcal{W}_{n}}, there is at most one edge labeled sis_{i} directed from w=w′′′w=w^{\prime\prime\prime} in the web graph. Since w′′′siww^{\prime\prime\prime}\stackrel{{\scriptstyle s_{i}}}{{\longrightarrow}}w^{\prime} and wsiw′′w\stackrel{{\scriptstyle s_{i}}}{{\longrightarrow}}w^{\prime\prime} we have w′′=ww^{\prime\prime}=w^{\prime} and so w′′ww^{\prime\prime}\preceq w^{\prime}.

If k=1k=1 then wsj1w′′′siww\stackrel{{\scriptstyle s_{j_{1}}}}{{\longrightarrow}}w^{\prime\prime\prime}\stackrel{{\scriptstyle s_{i}}}{{\longrightarrow}}w^{\prime}. Lemma 3.2 showed that consecutive edges in the web graph have different labels. Therefore j1ij_{1}\neq i and so the edge wsiw′′w\stackrel{{\scriptstyle s_{i}}}{{\longrightarrow}}w^{\prime\prime} in the web graph is distinct from the edge wsj1w′′′w\stackrel{{\scriptstyle s_{j_{1}}}}{{\longrightarrow}}w^{\prime\prime\prime}. Lemma 3.4 now shows that there is an edge w′′sj1ww^{\prime\prime}\stackrel{{\scriptstyle s_{j_{1}}}}{{\longrightarrow}}w^{\prime} and thus w′′ww^{\prime\prime}\preceq w^{\prime}.

Assume w′′ww^{\prime\prime}\preceq w^{\prime} whenever ww is less than distance kk from w′′′w^{\prime\prime\prime} and now suppose that the distance between ww and w′′′w^{\prime\prime\prime} is kk. The first edge wsj1w1w\stackrel{{\scriptstyle s_{j_{1}}}}{{\longrightarrow}}w_{1} in the path from ww to w′′′w^{\prime\prime\prime} satisfies either j1=ij_{1}=i or j1ij_{1}\neq i. If j1=ij_{1}=i then w′′=w1w^{\prime\prime}=w_{1} and so w′′w^{\prime\prime} lies on a path from ww to w′′′w^{\prime\prime\prime}. Since w′′′w^{\prime\prime\prime} has an edge to ww^{\prime} we conclude w′′ww^{\prime\prime}\preceq w^{\prime}.

Finally consider the case when j1ij_{1}\neq i. By Corollary 3.4 there exists a web w¯{\bar{w}} in the web graph along with edges w′′sj1w¯w^{\prime\prime}\stackrel{{\scriptstyle s_{j_{1}}}}{{\longrightarrow}}{\bar{w}} and w1siw¯w_{1}\stackrel{{\scriptstyle s_{i}}}{{\longrightarrow}}{\bar{w}}. The distance between w1w_{1} and w′′′w^{\prime\prime\prime} is less than kk so we can use the inductive hypothesis to conclude w¯w{\bar{w}}\preceq w^{\prime}. Since there is an edge from w′′w^{\prime\prime} to w¯{\bar{w}} we conclude w′′ww^{\prime\prime}\preceq w^{\prime}. ∎

This brings us to the main theorem.

Theorem 5.7.

If cvw0c_{v}^{w^{\prime}}\neq 0 then there is a directed path from vv to ww^{\prime} in the web graph, namely vwv\preceq w^{\prime}.

Proof.

The proof inducts on the distance between ww^{\prime} and w0w_{0} in the web graph. The base case is when the distance is zero, namely w0w0w_{0}\preceq w_{0}. Assume that if cvw0c_{v}^{w^{\prime}}\neq 0 then vwv\preceq w^{\prime} for all ww^{\prime} less than distance kk from w0w_{0}. Now assume ww^{\prime} has distance kk from w0w_{0} and consider any web w′′′w^{\prime\prime\prime} with an edge w′′′siww^{\prime\prime\prime}\stackrel{{\scriptstyle s_{i}}}{{\longrightarrow}}w^{\prime} in the web graph. As before we have

ϕ(vT)=siϕ(vT′′′)=w𝒲nww′′′cww′′′siw=w𝒲nww′′′cww′′′(w+w′′)\phi(v_{T^{\prime}})=s_{i}\cdot\phi(v_{T^{\prime\prime\prime}})=\sum_{\footnotesize\begin{array}[]{c}w\in\mathcal{W}_{n}\\ w\preceq w^{\prime\prime\prime}\end{array}}c_{w}^{w^{\prime\prime\prime}}s_{i}\cdot w=\sum_{\footnotesize\begin{array}[]{c}w\in\mathcal{W}_{n}\\ w\preceq w^{\prime\prime\prime}\end{array}}c_{w}^{w^{\prime\prime\prime}}(w+w^{\prime\prime})

where we take w′′w^{\prime\prime} to be 2w-2w when siw=ws_{i}\cdot w=-w.

The two ways for a web to have nonzero coefficient in ϕ(vT)\phi(v_{T^{\prime}}) correspond to the terms ww and w′′w^{\prime\prime} in the previous expression: either the coefficient of ww gets a contribution of cww′′′c_{w}^{w^{\prime\prime\prime}} from the first summand in one of the terms or the coefficient of w′′w^{\prime\prime} gets a contribution of cww′′′c_{w}^{w^{\prime\prime\prime}} from the second summand in one of the terms. In the first case (where ww plays the role of vv) we have ww′′′w\preceq w^{\prime\prime\prime} by assumption and so since w′′′ww^{\prime\prime\prime}\longrightarrow w^{\prime} we conclude www\preceq w^{\prime} as desired. (If w′′=2ww^{\prime\prime}=-2w this argument also applies.)

Now we decompose the second case (where w′′w^{\prime\prime} plays the role of vv) even further: if siw=w+w′′s_{i}\cdot w=w+w^{\prime\prime} then either wsiw′′w\stackrel{{\scriptstyle s_{i}}}{{\longrightarrow}}w^{\prime\prime} or d(w,w0)>d(w′′,w0)d(w,w_{0})>d(w^{\prime\prime},w_{0}) by Corollary 4.6. The first case is Lemma 5.6 for which w′′ww^{\prime\prime}\preceq w^{\prime} as desired.

In the final case w′′w^{\prime\prime} and ww differ only in the arcs incident to vertices j,i,i+1j,i,i+1, and kk. By comparing distance (equivalently nesting number) we know that {j,i}\{j,i\} and {k,i+1}\{k,i+1\} are in ww with k<j<ik<j<i or i+1<k<ji+1<k<j while (k,j)(k,j) and (i,i+1)(i,i+1) are in w′′w^{\prime\prime}. Thus w′′ww^{\prime\prime}\preceq w by Theorem 4.10. We conclude that w′′ww^{\prime\prime}\preceq w^{\prime} as desired since w′′ww′′′ww^{\prime\prime}\preceq w\preceq w^{\prime\prime\prime}\rightarrow w^{\prime}. ∎

We conclude with the following conjecture, which incorporates the two conjectures from the Introduction.

Conjecture 5.8.

For every tableau TT^{\prime} with corresponding web ww^{\prime}, the vector ϕ(vT)\phi(v_{T^{\prime}}) has the following form

ϕ(vT)=w+www𝒲ncwwvw\phi(v_{T^{\prime}})=w^{\prime}+\sum_{\stackrel{{\scriptstyle w\in\mathcal{W}_{n}}}{{w\prec w^{\prime}}}}c_{w}^{w^{\prime}}v_{w}

where cww>0c_{w}^{w^{\prime}}>0 for all ww in the sum.

We also conjecture the main theorem of this paper extends to webs for 𝔰𝔩3\mathfrak{sl}_{3} and perhaps all 𝔰𝔩n\mathfrak{sl}_{n}.

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