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A geometric interpretation for the Delta Conjecture

Maria Gillespie Department of Mathematics, Colorado State University, Fort Collins, CO 80523, USA [email protected] Eugene Gorsky Department of Mathematics, University of California Davis
One Shields Ave, Davis CA 95616, USA
[email protected]
 and  Sean T. Griffin Faculty of Mathematics, University of Vienna, Oskar-Morgenstern-Platz 1, 1090 Vienna, Austria [email protected]
Abstract.

We introduce a variety Yn,kY_{n,k}, which we call the affine Δ\Delta-Springer fiber, generalizing the affine Springer fiber studied by Hikita, whose Borel-Moore homology has an SnS_{n} action and a bigrading that corresponds to the Delta Conjecture symmetric function revqωΔek1en\mathrm{rev}_{q}\,\omega\Delta^{\prime}_{e_{k-1}}e_{n} under the Frobenius character map. We similarly provide a geometric interpretation for the Rational Shuffle Theorem in the integer slope case (km,k)(km,k). The variety Yn,kY_{n,k} has a map to the affine Grassmannian whose fibers are the Δ\Delta-Springer fibers introduced by Levinson, Woo, and the third author. Part of our proof of our geometric realization relies on our previous work on a Schur skewing operator formula relating the Rational Shuffle Theorem to the Delta Conjecture.

The first author was partially supported by NSF DMS award number 2054391.
The second author was partially supported by NSF DMS award number 2302305.
The third author was supported by ERC grant “Refined invariants in combinatorics, low-dimensional topology and geometry of moduli spaces” No. 101001159

1. Introduction

In this paper, we give geometric realizations of both the Rectangular Shuffle Theorem in the (mk,k)(mk,k) case and for the Delta Conjecture, in terms of affine Springer fibers. This is the second of a two-part series of papers starting with [GGG1], which both algebraically and combinatorially establishes a skewing formula relating the polynomials from the (mk,k)(mk,k) Rectangular Shuffle Theorem and those of the Delta Conjecture, building from the work of [BHMPS]. This skewing formula is key to the proof of our geometric construction.

We summarize the results of the paper in the following table:

Degree Algebra Combinatorics Geometry Module
KK EK,k1E_{K,k}\cdot 1 PFK,k\mathrm{PF}_{K,k} Xn,kX_{n,k} HBM(Xn,k)SKH_{*}^{BM}(X_{n,k})\circlearrowleft S_{K}
nn Δek1en\Delta^{\prime}_{e_{k-1}}e_{n} 𝒟n,kstack\mathcal{LD}_{n,k}^{\mathrm{stack}} Yn,kY_{n,k} HBM(Yn,k)SnH_{*}^{BM}(Y_{n,k})\circlearrowleft S_{n}

We explain various objects in the table and relations between them in the following sections. In particular, the first row corresponds to algebraic, combinatorial and geometric avatars of a certain degree K=k(nk+1)K=k(n-k+1) symmetric function, while the second row corresponds to a degree nn symmetric function. The two symmetric functions are related by an explicit skewing operator sλs_{\lambda}^{\perp}, see Theorem 1.5.

1.1. Shuffle Theorems

A labeled (n,n)(n,n) Dyck path or parking function is a Dyck path in the n×nn\times n grid whose vertical steps are labeled with positive integers, such that the labeling increases up each vertical run. See the left-most example in Figure 1. The Shuffle Theorem [CM] gives the following remarkable combinatorial formula for the evaluation en\nabla e_{n},

(1) en=PWPFn,ntarea(P)qdinv(P)xP.\nabla e_{n}=\sum_{P\in\mathrm{WPF}_{n,n}}t^{\mathrm{area}(P)}q^{\mathrm{dinv}(P)}x^{P}.

See Section 2 for relevant definitions. Similarly, given gcd(a,b)=1\gcd(a,b)=1 one can define a (ka,kb)(ka,kb) rational parking function as a lattice path (also known as a rational Dyck path) in the (ka)×(kb)(ka)\times(kb) grid that stays weakly above the line y=ax/by=ax/b, starts in the southwest corner, and ends in the northeast corner, together with a column-strictly-increasing labeling of the up steps (see the middle path in Figure 1 for an example where k=3k=3, a=2a=2 and b=1b=1). The combinatorial statistics area\mathrm{area} and dinv\mathrm{dinv} in the “combinatorial” right hand side of (1) has a natural generalization to rational parking functions.

However, to generalize the “algebraic” left hand side one needs to consider the Elliptic Hall Algebra q,t\mathcal{E}_{q,t} defined in [EHA] and extensively studied in the last two decades [RationalShuffle, BHMPS, BHMPS2, GN, SV1, SV2, Negut]. This is a remarkable algebra acting on the space Λ(q,t)\Lambda(q,t) of symmetric functions in infinitely many variables with coefficients in (q,t)\mathbb{Q}(q,t). The Rational Shuffle Theorem, proposed by Bergeron, Garsia, Leven and Xin [RationalShuffle] (see also [GN] for k=1k=1 case and a connection to Hilbert schemes), subsequently proven by Mellit [Mellit], states that

Eka,kb(1)k(a+1)=PPFka,kbtarea(P)qdinv(P)xP,E_{ka,kb}\cdot(-1)^{k(a+1)}=\sum_{P\in\mathrm{PF}_{ka,kb}}t^{\mathrm{area}(P)}q^{\mathrm{dinv}(P)}x^{P},

where Eka,kbE_{ka,kb} is a particular element of q,t\mathcal{E}_{q,t}. Note that our conventions for aa and bb are flipped from [RationalShuffle].

We will be primarily interested in the case (ka,kb)=(K,k)(ka,kb)=(K,k) where K=k(nk+1)K=k(n-k+1) (so that a=nk+1a=n-k+1 and b=1b=1) and consider parking functions in the K×kK\times k rectangle. The corresponding symmetric function EK,k1E_{K,k}\cdot 1 has degree KK.

Remark 1.1.

For k=nk=n we have K=kK=k, and the symmetric function in question is En,n1=enE_{n,n}\cdot 1=\nabla e_{n}.

1.2. Affine Springer fibers

In a different line of work, Hikita [Hikita] gave an alternative geometric interpretation for en\nabla e_{n} in terms of affine Springer fibers. Given a nil-elliptic operator γ𝔰𝔩n[[ϵ]]\gamma\in\mathfrak{sl}_{n}[[\epsilon]], one can define the affine Springer fiber Spγ\mathrm{Sp}_{\gamma} in the affine flag variety Fl~\widetilde{\mathrm{Fl}}. The group SnS_{n} has a Springer-like representation in the (Borel-Moore) homology of Spγ\mathrm{Sp}_{\gamma}. Affine Springer fibers and their homology have been a subject of very active study in geometric representation theory, see [Yun] and references therein. In particular, Spγ\mathrm{Sp}_{\gamma} is closely related to compactified Jacobians and Hilbert schemes of points on plane curve singularities [MY, MS, MaulikShen] and serves as a local model for fibers in the Hitchin integrable system [OY, OY2], while the point count of Spγ\mathrm{Sp}_{\gamma} over a finite field is related to orbital integrals in number theory [KivTsai]. The conjectures of Oblomkov, Rasmussen and Shende [ORS] relate the homology of affine Springer fibers to Khovanov-Rozansky link homology.

If γ\gamma is regular and semisimple, the geometry of Spγ\mathrm{Sp}_{\gamma} is controlled by the characteristic polynomial fγ(z,ϵ)=det(γzI)f_{\gamma}(z,\epsilon)=\det(\gamma-zI) and the spectral curve {fγ(z,ϵ)=0}\{f_{\gamma}(z,\epsilon)=0\}. Hikita considered in [Hikita] the case when

fγ(z,ϵ)=znϵn+1f_{\gamma}(z,\epsilon)=z^{n}-\epsilon^{n+1}

and proved that Spγ\mathrm{Sp}_{\gamma} admits an affine paving with cells in bijection with (n,n)(n,n) parking functions and the (Frobenius) character of the Borel-Moore homology of Spγ\mathrm{Sp}_{\gamma} (as a bigraded Sn\mathbb{Q}S_{n}-module) matches the right hand side of (1) (up to a minor twist). In particular, the dimension of the cells is closely related to the dinv\mathrm{dinv} statistics on parking functions. In [CO] Carlsson and Oblomkov used this work to construct a long-sought explicit basis in the space of diagonal coinvariants.

In [GMV] the second author, Mazin and Vazirani generalized the results of [Hikita] to (a,b)(a,b)-parking functions with gcd(a,b)=1\gcd(a,b)=1 (and k=1k=1 in the above notations): for

fγ(z,ϵ)=zaϵbf_{\gamma}(z,\epsilon)=z^{a}-\epsilon^{b}

the affine Springer fiber also admits an affine paving with cells in bijection with (a,b)(a,b) parking functions. In particular, [GMV] clarified the relation between (a,b)(a,b) parking functions and a certain subset of (extended) affine permutations in Sa~\widetilde{S_{a}}.

In [GMO] the second author, Mazin and Oblomkov made progress towards the general non-coprime case (ka,kb)(ka,kb) by considering a more complicated class of “generic” spectral curves {fγ(z,ϵ)}\{f_{\gamma}(z,\epsilon)\}. They proved that for such γ\gamma the affine Springer fiber Grγ\mathrm{Gr}_{\gamma} in the affine Grassmannian admits an affine paving with cells labeled by (ka,kb)(ka,kb)-Dyck paths. It is plausible that the affine Springer fiber Spγ\mathrm{Sp}_{\gamma} also admits an affine paving with cells labeled by (ka,kb)(ka,kb) parking functions, but we do not need it here.

Instead, we propose a different geometric model for a special subclass of the non-coprime case. Let K=k(nk+1)K=k(n-k+1), we consider a family of nil-elliptic elements γn,k,N𝔰𝔩K[[ϵ]]\gamma_{n,k,N}\in\mathfrak{sl}_{K}[[\epsilon]] with characteristic polynomials zKϵk+Nz^{K}-\epsilon^{k+N}.

Definition 1.2.

Let γ=γn,k,N\gamma=\gamma_{n,k,N} be the 𝒪\mathcal{O}-linear operator on 𝒪K=K[[ϵ]]\mathcal{O}^{K}=\mathbb{C}^{K}[[\epsilon]] defined by

γei={ei+kif 1i(nk)kei+k+1if (nk)k<i<KϵN+1e1if i=K.\gamma e_{i}=\begin{cases}e_{i+k}&\text{if }1\leq i\leq(n-k)k\\ e_{i+k+1}&\text{if }(n-k)k<i<K\\ \epsilon^{N+1}e_{1}&\text{if }i=K.\end{cases}

Here we extend the basis periodically by ei+K=ϵeie_{i+K}=\epsilon e_{i}. We also define a certain union CC of affine Schubert cells and the subvariety

Xn,k,N=CSpγ.X_{n,k,N}=C\cap\mathrm{Sp}_{\gamma}.

We can now state our first main result:

Theorem 1.3.
  1. (a)

    For NkN\geq k the space Xn,k=Xn,k,NX_{n,k}=X_{n,k,N} does not depend on NN and admits an affine paving in which the cells are in bijection with (K,k)(K,k) parking functions.

  2. (b)

    For all NN, the Borel-Moore homology of Xn,k,NX_{n,k,N} has an action of SKS_{K}. For NkN\geq k the Frobenius character of this action equals

    Frob(HBM(Xn,k);q,t)=revqω(EK,k1).\mathrm{Frob}(H_{*}^{BM}(X_{n,k});q,t)=\mathrm{rev}_{q}\,\omega(E_{K,k}\cdot 1).

    where the qq parameter keeps track of homological degree and the tt grading keeps track of the connected component of Fl~\widetilde{\mathrm{Fl}}.

It would be interesting to find the analogues of Xn,kX_{n,k} for more the more general family of symmetric functions Ekm,kn1E_{km,kn}\cdot 1 where mm and nn are coprime.

Remark 1.4.

For k=nk=n we have γn,n,Nei=ei+n+1\gamma_{n,n,N}\,e_{i}=e_{i+n+1} for i<ni<n, and γn,n,NeK=ϵN+1e1\gamma_{n,n,N}\,e_{K}=\epsilon^{N+1}e_{1}. For N=nN=n, we recover Hikita’s result but with a slightly different variety. In particular, Xn,n,nX_{n,n,n} is a non-compact subvariety of the affine partial flag variety Fl~(1n)=GLn(((ϵ)))/I\widetilde{\mathrm{Fl}}_{(1^{n})}=\mathrm{GL}_{n}(\mathbb{C}((\epsilon)))/I^{-} associated to GL\mathrm{GL}, and the space Xn,n,nX_{n,n,n} has one connected component for each possible value of the area statistic on an n×nn\times n Dyck path. On the other hand, Hikita studied the (n,n+1)(n,n+1) affine Springer fiber associated to the operator γn,n,0\gamma_{n,n,0} inside of SLn(((ϵ)))/I\mathrm{SL}_{n}(\mathbb{C}((\epsilon)))/I, which is a compact subvariety of the affine flag variety associated to SL\mathrm{SL}. The content of Theorem 1.3 in the case k=nk=n then says that the affine Springer fiber studied by Hikita has the same Borel–Moore homology as that of Xn,n,nX_{n,n,n}, even though the spaces are not isomorphic.

1.3. Delta Conjecture

A second generalization of the Shuffle Theorem called the Delta Conjecture was formulated by Haglund, Remmel, and Wilson [HRW]. It involves a more general Macdonald eigenoperator Δek1\Delta^{\prime}_{e_{k-1}} and relates it to stacked parking functions. See the image on the right of Figure 4 for an example of a (n,k)(n,k) stacked parking function for n=6n=6 and k=3k=3. The (Rise) Delta Conjecture (reformulated here in terms of stacked parking functions) states

Δek1en=P𝒟stackn,ktarea(P)qhdinv(P)xP.\Delta^{\prime}_{e_{k-1}}e_{n}=\sum_{P\in\mathcal{LD}^{\mathrm{stack}}_{n,k}}t^{\mathrm{area}(P)}q^{\mathrm{hdinv}(P)}x^{P}.

This version of the Delta Conjecture was proven by [DAdderio] and independently by [BHMPS]. To the authors’ knowledge, the Valley version (involving a statistic wdinv\mathrm{wdinv}) of the conjecture remains open.

In [GGG1], we proved a formula that directly relates the Rational Shuffle Theorem to the Delta Conjecture.

Theorem 1.5 ([GGG1, Theorem 1.1]).

Letting K=k(nk+1)K=k(n-k+1) and λ=(k1)nk\lambda=(k-1)^{n-k}, we have

(2) Δek1en=sλ(EK,k1),\Delta^{\prime}_{e_{k-1}}e_{n}=s_{\lambda}^{\perp}(E_{K,k}\cdot 1),

where sλs_{\lambda}^{\perp} is the adjoint to multiplication by the Schur function sλs_{\lambda}.

The proof uses the relation between the Elliptic Hall Algebra and the Shuffle algebra and certain identities for EK,kE_{K,k} studied in [BHMPS, BHMPS2, Negut].

Our main result is a geometric version of (2) by constructing a family of subvarieties Yn,k,NY_{n,k,N} in the partial affine flag variety:

Yn,k,NC{ΛFl~(Kn,1n)γΛiΛii,JT(γ|Λ0/ΛKn)(nk)k1},Y_{n,k,N}\coloneqq C^{\prime}\cap\{\Lambda_{\bullet}\in\widetilde{\mathrm{Fl}}_{(K-n,1^{n})}\mid\gamma\Lambda_{i}\subseteq\Lambda_{i}\,\forall i,\,\mathrm{JT}(\gamma|_{\Lambda_{0}/\Lambda_{K-n}})\leq(n-k)^{k-1}\},

where \leq above is dominance order on partitions. Equivalently, the Jordan type condition above may be written γnkΛ0ΛKn\gamma^{n-k}\Lambda_{0}\subseteq\Lambda_{K-n}. See Definition LABEL:def:Varieties for more details, here we identify the affine partial flag variety with the space of flags of lattices, and JT(γ|Λ0/ΛKn)\mathrm{JT}(\gamma|_{\Lambda_{0}/\Lambda_{K-n}}) refers to the Jordan type of the induced action of γ=γn,k,N\gamma=\gamma_{n,k,N} on the quotient Λ0/ΛKn\Lambda_{0}/\Lambda_{K-n}.

Theorem 1.6.
  1. (a)

    For all NkN\geq k, the space Yn,k=Yn,k,NY_{n,k}=Y_{n,k,N} does not depend on NN, and its Borel-Moore homology admits an action of SnS_{n} such that

    q(k12)(nk)Frob(HBM(Yn,k);q,t)=sλFrob(HBM(Xn,k);q,t)q^{\binom{k-1}{2}(n-k)}\mathrm{Frob}(H_{*}^{BM}(Y_{n,k});q,t)=s_{\lambda^{\prime}}^{\perp}\,\mathrm{Frob}(H_{*}^{BM}(X_{n,k});q,t)

    where λ=(nk)k1\lambda^{\prime}=(n-k)^{k-1}.

  2. (b)

    We have

    Frob(HBM(Yn,k);q,t)=revqω(Δek1en),\mathrm{Frob}\left(H_{*}^{BM}(Y_{n,k});q,t\right)=\mathrm{rev}_{q}\,\omega(\Delta^{\prime}_{e_{k-1}}e_{n}),

    where the qq parameter keeps track of homological degree and the tt grading keeps track of the connected component of Fl~(Kn,1n)\widetilde{Fl}_{(K-n,1^{n})}.

In fact, part (b) follows from Theorem 1.5 and part (a). Part (a) is proved similarly to the main result of [GG], see below.

Remark 1.7.

In the case n=kn=k, Theorem 1.6 part (a) is trivial. Indeed, when n=kn=k we get Xn,n,N=Yn,n,NX_{n,n,N}=Y_{n,n,N} since Λn=ΛK\Lambda_{n}=\Lambda_{K} and the Jordan type condition is vacuous. On the other hand, λ=\lambda^{\prime}=\emptyset and

Δen1en=en=En,n1.\Delta_{e^{\prime}_{n-1}}e_{n}=\nabla e_{n}=E_{n,n}\cdot 1.

Lastly, we use Theorem 1.5 and the Rational Shuffle Theorem to give a new combinatorial proof of the (Rise) Delta Conjecture.

Refer to caption
Figure 1. Examples of (3,3)(3,3) and (6,3)(6,3) parking functions

1.4. Δ\Delta-Springer fibers

In a previous work, the first and third authors [GG] studied a family of varieties called Δ\Delta-Springer fibers (see also [Griffin, Griffin2, GLW]). We use an equivalent definition following [GG, Lemma 3.3].

Definition 1.8.

Fix a partition μ\mu with |μ|=k|\mu|=k and an integer s(μ)s\geq\ell(\mu), and define ν=(nk)s+μ\nu=(n-k)^{s}+\mu. Also, fix a nilpotent operator γ¯\overline{\gamma} on |ν|\mathbb{C}^{|\nu|} with Jordan type ν\nu. Then the Δ\Delta-Springer fiber Zn,μ,sZ_{n,\mu,s} is defined as the space of partial flags

Zn,μ,s={|ν|=F0F|ν|nF1+|ν|nF|ν|=0:dimFi=|ν|i}Z_{n,\mu,s}=\{\mathbb{C}^{|\nu|}=F_{0}\supset F_{|\nu|-n}\supset F_{1+|\nu|-n}\supset\cdots\supset F_{|\nu|}=0:\ \dim F_{i}=|\nu|-i\}

such that γ¯FiFi\overline{\gamma}F_{i}\subset F_{i} and JT(γ¯|F0/F|ν|n)(nk)s1\mathrm{JT}(\overline{\gamma}|_{F_{0}/F_{|\nu|-n}})\leq(n-k)^{s-1}. Note that here we have indexed the parts of the flag in order to match our convention for indexing flags of lattices. Further note that the Jordan type condition may be replaced with γ¯nkF0=im(γ¯nk)F|ν|n\overline{\gamma}^{n-k}F_{0}=\mathrm{im}(\overline{\gamma}^{n-k})\subseteq F_{|\nu|-n}.

One of the main results of [GG] gives a representation-theoretic description for the cohomology of Δ\Delta-Springer fiber.

Theorem 1.9 ([GG]).

There is an action of SnS_{n} in the cohomology of Zn,μ,sZ_{n,\mu,s}. The corresponding graded Frobenius character equals

q(s12)(nk)Frob(H(Zn,μ,s);q)=s(nk)s1H~ν(x;q)q^{\binom{s-1}{2}(n-k)}\mathrm{Frob}(H^{*}(Z_{n,\mu,s});q)=s_{(n-k)^{s-1}}^{\perp}\widetilde{H}_{\nu}(x;q)

where H~ν(x;q)\widetilde{H}_{\nu}(x;q) is the modified Hall-Littlewood polynomial.

We can relate the variety Yn,kY_{n,k} to the Δ\Delta-Springer fibers as follows: consider the projection to the affine Grassmannian

π:Yn,k,NGr~\pi:Y_{n,k,N}\to\widetilde{\mathrm{Gr}}

which sends a flag of lattices Λ\Lambda_{\bullet} to Λ0\Lambda_{0}.

Theorem 1.10.

Each fiber of the projection π\pi is either empty or isomorphic to a Δ\Delta-Springer fiber Zn,μ,kZ_{n,\mu,k} for some μ\mu.

To prove Theorem 1.10, we consider the KK-dimensional space Λ0/ϵΛ0\Lambda_{0}/\epsilon\Lambda_{0}, and the partial flag Fi=Λi/ϵΛ0F_{i}=\Lambda_{i}/\epsilon\Lambda_{0}. The operator γ¯\overline{\gamma} is given by the restriction of γn,k,N\gamma_{n,k,N} to Λ0/ϵΛ0\Lambda_{0}/\epsilon\Lambda_{0}, and the key Lemma LABEL:lem:eval-in-sub shows that it has Jordan type ν=(nk)k+μ\nu=(n-k)^{k}+\mu for some μ\mu. Now the conditions defining Yn,k,NY_{n,k,N} translate to the conditions for Zn,ν,kZ_{n,\nu,k}, see Section LABEL:sec:_geometry for details.

The proof of Theorem 1.9 heavily used the work of Borho and MacPherson [BM] on partial resolutions of the nilpotent cone. Note that by [HottaSpringer] the modified Hall-Littlewood polynomial in the Theorem 1.9 can be interpreted as the graded Frobenius character of the homology of the classical Springer fiber, which coincides with the fiber of the projection Xn,k,NGr~X_{n,k,N}\to\widetilde{\mathrm{Gr}}.

We use this idea to develop a sheaf-theoretic generalization of Theorem 1.9, and use it to prove Theorem 1.5(a).

Remark 1.11.

Note that the discussion above and Theorem 1.10 do not imply that ω(EK,k1)\omega(E_{K,k}\cdot 1) and ωΔek1en\omega\Delta^{\prime}_{e_{k-1}}e_{n} expand positively in terms of Hall-Littlewood symmetric functions, even in the case of e5\nabla e_{5}. This is because the projection maps from Xn,kX_{n,k} and Yn,kY_{n,k} to Gr~\widetilde{\mathrm{Gr}} are not fiber bundles over the cells in the Schubert cell decomposition of Gr~\widetilde{\mathrm{Gr}}. We invite the reader to check that the fibers π1(Λ)\pi^{-1}(\Lambda) of π:X5,5Gr~\pi:X_{5,5}\to\widetilde{\mathrm{Gr}} over ΛC[1,7,8,9,15]\Lambda\in C_{[1,7,8,9,15]} depend on Λ\Lambda: Generically, π1(Λ)\pi^{-1}(\Lambda) is isomorphic to the Springer fiber associated to a nilpotent matrix of Jordan type (3,1,1)(3,1,1), but over the torus fixed point of the Schubert cell π1(Λ)\pi^{-1}(\Lambda) is isomorphic to the Springer fiber for Jordan type (2,2,1)(2,2,1).

1.5. Organization of the paper

The paper is organized as follows. In Section 2, we give a combinatorial background on symmetric functions, parking functions and affine permutations. In Section 3, we translate parking function combinatorics and diagonal inversions in terms of a class of affine permutations called γ\gamma-restricted, and we prove several useful lemmas concerning them. Sections LABEL:sec:_geometry, LABEL:sec:_Springer_action, and LABEL:sec:_X_dimensions are focused on the geometry of affine Springer fibers. In Section LABEL:sec:_geometry we introduce the varieties Xn,k,NX_{n,k,N} and Yn,k,NY_{n,k,N} and prove Theorem 1.6(a). In Section LABEL:sec:_Springer_action, we use Springer theory and work of Borho and MacPherson to show there are compatible symmetric group actions on the Borel-Moore homologies of Xn,k,NX_{n,k,N} and Yn,k,NY_{n,k,N}. We then prove Theorem 1.6(a), a geometric version of the skewing formula. In Section LABEL:sec:_X_dimensions, we construct an affine paving of Xn,kX_{n,k}. This allows us to prove Theorem 1.3 and complete the proof of Theorem 1.6(b).

1.6. Future directions

We conclude the introduction with a few possible further directions.

In particular, our varieties depend on a parameter NN. However, we show in Theorems 1.3 and  1.6 that when NkN\geq k these varieties are independent of NN and the graded Frobenius character of their Borel-Moore homologies give the symmetric functions in the Rational Shuffle Theorem and Delta Theorem. However, when 0N<k0\leq N<k, there exist examples of Xn,k,NX_{n,k,N} (respectively Yn,k,NY_{n,k,N}) whose Borel-Moore homology groups differ from the terms in the Rational Shuffle Theorem (respectively Delta Theorem). Therefore, one could define new symmetric functions fn,k,Nf_{n,k,N} and gn,k,Ng_{n,k,N} by

fn,k,N\displaystyle f_{n,k,N} =revqωFrob(HBM(Xn,k,N;q,t)),\displaystyle=\mathrm{rev}_{q}\omega\,\mathrm{Frob}(H_{*}^{\mathrm{BM}}(X_{n,k,N};q,t)),
gn,k,N\displaystyle g_{n,k,N} =revqωFrob(HBM(Yn,k,N;q,t)).\displaystyle=\mathrm{rev}_{q}\omega\,\mathrm{Frob}(H_{*}^{\mathrm{BM}}(Y_{n,k,N};q,t)).
Problem 1.12.

Find combinatorial and Macdonald operator formulas for fn,k,Nf_{n,k,N} and gn,k,Ng_{n,k,N} in the cases 0N<k0\leq N<k that generalize those on either side of the Rational Shuffle and Delta Theorems.

Another natural question is whether our varieties can be generalized to give geometric interpretations of other symmetric functions coming from Macdonald-theoretic or Elliptic Hall Algebra operators.

Acknowledgments

We thank François Bergeron, Eric Carlsson, Mark Haiman, Jim Haglund, Oscar Kivinen, Jake Levinson, Misha Mazin, Anton Mellit, Andrei Negu\cbt, Anna Pun, George Seelinger, and Andy Wilson for useful discussions.

2. Notation and Background

2.1. Symmetric functions

We refer to [Macdonald] for details on many of the standard definitions in this section. We will work in the ring of symmetric functions Λ\Lambda in infinitely many variables x1,x2,x_{1},x_{2},\ldots over (q,t)\mathbb{Q}(q,t). We will use elementary symmetric functions

em=i1<<imxi1xim,eλ=ieλie_{m}=\sum_{i_{1}<\cdots<i_{m}}x_{i_{1}}\cdots x_{i_{m}},\qquad\qquad e_{\lambda}=\prod_{i}e_{\lambda_{i}}

where λ\lambda is a partition. We also have monomial symmetric functions

mλ=(i1,,i)xi1λ1xi2λ2xiλm_{\lambda}=\sum_{(i_{1},\ldots,i_{\ell})}x_{i_{1}}^{\lambda_{1}}x_{i_{2}}^{\lambda_{2}}\cdots x_{i_{\ell}}^{\lambda_{\ell}}

where (i1,,i)(i_{1},\ldots,i_{\ell}) is any tuple of distinct positive integers such that ij<ij+1i_{j}<i_{j+1} whenever λj=λj+1\lambda_{j}=\lambda_{j+1}. Both {mλ}\{m_{\lambda}\} and {eλ}\{e_{\lambda}\} form a basis of Λ\Lambda.

We also use the basis of Schur functions sλs_{\lambda}, defined as sλ=Kλμmμs_{\lambda}=\sum K_{\lambda\mu}m_{\mu} where the coefficients KλμK_{\lambda\mu} are the Kostka numbers, which count the number of column-strict Young tableaux of shape λ\lambda and content μ\mu. We draw our Young tableaux in French notation:

\young(4,25,1155)\young(4,25,1155)

and the above tableau has content (2,1,0,1,3)(2,1,0,1,3), with the iith entry indicating the multiplicity of ii in the tableau. Its shape is (4,2,1)(4,2,1), indicating the length of each row from bottom to top.

Definition 2.1.

The Hall inner product on Λ\Lambda is defined by

sλ,sμ=δλ,μ\langle s_{\lambda},s_{\mu}\rangle=\delta_{\lambda,\mu}

and extending by linearity, using the fact that {sλ}\{s_{\lambda}\} forms a basis of Λ\Lambda.

The Schur functions and Hall inner product are directly tied to the representation theory of the symmetric group SnS_{n}. The irreducible representations VλV_{\lambda} of SnS_{n} are indexed by partitions λ\lambda of nn, and the Frobenius map Frob\mathrm{Frob} takes a representation V=λ(Vλ)cλV=\bigoplus_{\lambda}(V_{\lambda})^{\oplus c_{\lambda}} to cλsλ\sum c_{\lambda}s_{\lambda}. Clearly Frob\mathrm{Frob} is additive across direct sum, and it has the remarkable property of being multiplicative across induced tensor product:

Frob(IndSn×SmSn+mVW)=Frob(V)Frob(W)\mathrm{Frob}(\mathrm{Ind}_{S_{n}\times S_{m}}^{S_{n+m}}V\otimes W)=\mathrm{Frob}(V)\mathrm{Frob}(W)

We make use of a (doubly) graded version of the Frobenius map as follows.

Definition 2.2.

Given a graded SnS_{n} module R=dRdR=\bigoplus_{d}R_{d}, its graded Frobenius character is

grFrobq(R)=dFrob(Rd)qd.\mathrm{grFrob}_{q}(R)=\sum_{d}\mathrm{Frob}(R_{d})q^{d}.

For a doubly-graded module S=Si,jS=\bigoplus S_{i,j}, we write

grFrobq,t(S)=i,jFrob(Si,j)qitj.\mathrm{grFrob}_{q,t}(S)=\sum_{i,j}\mathrm{Frob}(S_{i,j})q^{i}t^{j}.

We use the adjoint operators to multiplication operators with respect to the Hall inner product.

Definition 2.3.

The operator sλ:ΛΛs_{\lambda}^{\perp}:\Lambda\to\Lambda is defined such that the identity

sλf,g=f,sλg\langle s_{\lambda}^{\perp}f,g\rangle=\langle f,s_{\lambda}g\rangle

holds for all symmetric functions f,gΛf,g\in\Lambda (resp. f,gΛkf,g\in\Lambda_{k}).

We will make use of the following lemma from [GG].

Lemma 2.4.

[GG, Lemma 2.1] Given WW an SnS_{n}-module, Snm×SmS_{n-m}\times S_{m} a Young subgroup, and a partition μm\mu\vdash m, then

sμFrob(W)=1dim(Vμ)Frob(WVμ)s_{\mu}^{\perp}\mathrm{Frob}(W)=\frac{1}{\dim(V_{\mu})}\mathrm{Frob}(W^{V_{\mu}})

where WVμW^{V_{\mu}} is the VμV_{\mu}-isotypic component of the restriction of WW to an SmS_{m}-module, whose Frobenius character is taken as an SnmS_{n-m}-module.

2.2. Rational parking functions

Throughout this subsection, let kk and KK be positive integers such that k|Kk|K. Let RDK,k\mathrm{RD}_{K,k} be the set of K×kK\times k rational Dyck paths (height KK and width kk), and let PFK,k\mathrm{PF}_{K,k} be the labeled parking functions on elements of RDK,k\mathrm{RD}_{K,k}. That is, the set of labelings of the vertical runs of elements of RDK,k\mathrm{RD}_{K,k} by positive integers such that the labeling weakly increases up each vertical run.

Definition 2.5.

The area of an element of PFK,k\mathrm{PF}_{K,k} is the number of whole boxes lying between the path and the diagonal, so that the diagonal does not pass through the interior of the box.

Definition 2.6.

The dinv statistic (for “diagonal inversions”) on PFK,k\mathrm{PF}_{K,k} is defined as

dinv(P)=pathdinv(D)+tdinv(P)maxtdinv(D)\mathrm{dinv}(P)=\mathrm{pathdinv}(D)+\mathrm{tdinv}(P)-\mathrm{maxtdinv}(D)

where DD is the Dyck path of PP. We define each of these three quantities separately below.

To define pathdinv(D)\mathrm{pathdinv}(D), recall that the arm of a box above a Dyck path in the K×kK\times k grid is the number of boxes to its right that still lie above the Dyck path. The leg is the number of boxes below it that still lie above the Dyck path.

Definition 2.7.

The pathdinv of Dyck path DD from (0,0)(0,0) to (k,K)(k,K) (with k|Kk|K) is the number of boxes bb above the Dyck path of PP for which

arm(b)leg(b)+1k/K<arm(b)+1leg(b)\frac{\mathrm{arm}(b)}{\mathrm{leg}(b)+1}\leq k/K<\frac{\mathrm{arm}(b)+1}{\mathrm{leg}(b)}
Remark 2.8.

We call this statistic pathdinv\mathrm{pathdinv} here to emphasize that it only depends on the rational Dyck path, and to distinguish it from dinv\mathrm{dinv} of the parking function. It was simply called dinv\mathrm{dinv} in [RationalShuffle].

To define the tdinv\mathrm{tdinv} statistic on rational parking functions, we use the same conditions on pairs of boxes identified in Lemma 2.14, which we call attacking pairs.

Definition 2.9.

A diagonal in the KK by kk grid, where k|Kk|K, is a set of boxes whose lower left hand corners pairwise differ by a multiple of (1,K/k)(1,K/k).

The main diagonal of the KK by kk rectangle is the line between (0,0)(0,0) and (k,K)(k,K). Note that we use Cartesian coordinates in the first quadrant for the boxes and label each box’s position by the coordinates of its lower left hand corner.

A pair of boxes a,ba,b in a KK by kk grid (with k|Kk|K) is an attacking pair if and only if either:

  • aa and bb are on the same diagonal, with aa to the left of bb, or

  • aa is one diagonal below bb, and to the right of bb.

Remark 2.10.

When boxes are known to be labeled, we often use the name of the box and its label interchangeably, as in the definition below.

Definition 2.11.

The tdinv of PPFK,kP\in\mathrm{PF}_{K,k} is the number of attacking pairs of labeled boxes a,ba,b in PP such that a<ba<b.

Definition 2.12.

The maxtdinv of a Dyck path DD is the largest possible tdinv\mathrm{tdinv} of any parking function of shape DD.

Note that maxtdinv(D)\mathrm{maxtdinv}(D) can be achieved by taking tdinv(D)\mathrm{tdinv}(D) of the labeling of DD obtained by labeling using 1,2,3,1,2,3,\ldots across diagonals from left to right, starting from the bottom-most diagonal and moving upwards. Alternatively, maxtdinv(D)\mathrm{maxtdinv}(D) is the number of attacking pairs (a,b)(a,b) such that aa and bb are boxes directly to the right of an up-step of DD.

Define the rank of the box in row jj and column ii of the K×kK\times k rectangle to be

rk(i,j)=1+(j1)k+j1nk+1K(i1).\mathrm{rk}(i,j)=1+(j-1)k+\left\lfloor\frac{j-1}{n-k+1}\right\rfloor-K(i-1).

In other words, we put 11 in the box in the SW corner, and fill the rest of the ranks by increasing them by kk or k+1k+1, respectively, as we go North from (i,j)(i,j) to (i,j+1)(i,j+1) if jj is not divisible or divisible by nk+1n-k+1, respectively. As we go East from (i,j)(i,j) to (i+1,j)(i+1,j), we decrease by KK. The ranks of the boxes in the case of K=12K=12 and k=4k=4 is shown in Figure 2.

159141822273135404448261015192328323637111620244812
Figure 2. Ranks for (K,k)=(12,4)(K,k)=(12,4)

The following is easily verified and we omit the proof.

Proposition 2.13.

All ranks above the diagonal are strictly positive, and pairwise distinct. The ranks in different rows have different remainders mod KK. All ranks below or on the diagonal are nonpositive.

We will need the following statement relating ranks to attacking pairs.

Lemma 2.14.

Suppose a,ba,b are two boxes inside the rectangle. Then rk(a)<rk(b)rk(a)+k\mathrm{rk}(a)<\mathrm{rk}(b)\leq\mathrm{rk}(a)+k if and only if (a,b)(a,b) form an attacking pair.

Proof.

First observe that each diagonal has at most one box in each block and that the ranks on the same diagonal increase by 11 from left to right since for each box (i,j)(i,j),

rk(i+1,j+K/k)=rk(i,j)+k(K/k)+1K=rk(i,j)+1.\mathrm{rk}(i+1,j+K/k)=\mathrm{rk}(i,j)+k(K/k)+1-K=\mathrm{rk}(i,j)+1.

For the reverse implication, we consider the following cases:

Case 1. Suppose the boxes containing aa and bb form an attacking pair on the same diagonal, with aa to the left of bb. Then we have a<b<a+ka<b<a+k because the ranks on a diagonal increase by 11 and there are kk columns.

Case 2. Suppose the boxes containing aa and bb form an attacking pair with aa to the right of bb where aa is in one lower diagonal than bb. Letting xx be the entry below bb, we have a=x+ja=x+j for some jj with 1j<k1\leq j<k since xx and aa are on the same diagonal. Then bb is either equal to x+kx+k or x+k+1x+k+1, so a<ba+ka<b\leq a+k.

We now show that if two squares do not form an attacking pair, then one of the inequalities is not satisfied. If aa is to the right of bb in its diagonal, or left of bb in one higher diagonal, the inequality a<ba<b is not satisfied by the cases above. So we can assume the two boxes are at least two diagonals apart. But if the largest entry in the lower diagonal is ee, then the smallest entry two diagonals up is equal to e+1+k>e+ke+1+k>e+k and so we cannot have the inequality ba+kb\leq a+k satisfied. ∎

Definition 2.15.

We write δK,k\delta_{K,k} for the number of boxes that lie fully above the diagonal in the K×kK\times k rectangle, which is equal to (kKK)/2=(k1)K/2(k\cdot K-K)/2=(k-1)K/2.

We now show a correspondence between certain attacking pairs and the complement squares to those that contribute to pathdinv. To do so, we first rephrase the definition of pathdinv in a way that we used in [GGG1]. The proof simply follows from analyzing both sides of the inequality in Definition 2.7, and we omit it.

Lemma 2.16.

The statistic pathdinv(D)\mathrm{pathdinv}(D) is the number of boxes bb above DD such that, if s=K/ks=K/k is the slope of the diagonal, we have

leg(b){sarm(b)1,sarm(b),sarm(b)+1,sarm(b)+2,,sarm(b)+(s1)}.\mathrm{leg}(b)\in\{s\cdot\mathrm{arm}(b)-1,s\cdot\mathrm{arm}(b),s\cdot\mathrm{arm}(b)+1,s\cdot\mathrm{arm}(b)+2,\ldots,s\cdot\mathrm{arm}(b)+(s-1)\}.
Refer to caption
Figure 3. At left, computing pathdinv of the red path DD as the number of boxes marked with \ast, whose arm and leg satisfy the conditions of Lemma 2.16. We therefore have pathdinv(D)=9\mathrm{pathdinv}(D)=9. The remaining figures show the three types of complementary boxes as used in the proof of Lemma 2.17.
Lemma 2.17.

For a Dyck path DD the difference δK,kpathdinv(D)\delta_{K,k}-\mathrm{pathdinv}(D) equals the number of attacking pairs a,ba,b of boxes such that aa is to the left of a vertical step in DD, and bb is between DD and the main diagonal.

Proof.

We outline the proof of essentially the same fact shown in [GorskyMazin, Lemma 2.22], though we note that their figures are flipped upside down and transposed from ours, and we translate the main steps here in our notation.

In Figure 3, the boxes contributing to pathdinv\mathrm{pathdinv} are marked with \ast. We know that δK,kpathdinv(D)\delta_{K,k}-\mathrm{pathdinv}(D) is the number of boxes fully above the diagonal that are not marked with \ast, and we sort them into three types:

  • Below DD: We mark these boxes with a \circ.

  • Above DD, “too high”: These squares bb have leg(b)sarm(b)+s\mathrm{leg}(b)\geq s\cdot\mathrm{arm}(b)+s, in other words, their leg is too long to be marked with \ast. We mark these with ×\times.

  • Above DD, “too low”: These squares bb have leg(b)sarm(b)2\mathrm{leg}(b)\leq s\cdot\mathrm{arm}(b)-2, in other words, their leg is too short. We mark these with \triangle.

For each \triangle entry, we draw a line to the right until we cross a vertical step of DD; let aa be the box just to the left of this vertical step. Then by the height condition for \triangle, there is a box bb above the diagonal and below DD in the same column as \triangle that is one diagonal above aa. We match the \triangle square to this attacking pair (a,b)(a,b), as shown at left below. Conversely, every such off-diagonal pair (a,b)(a,b) corresponds to a triangle.

[Uncaptioned image]

We now consider a square cc marked with \circ. We first reflect cc vertically as follows: let dd be the number of squares vertically between cc and the path DD, and define cc^{\prime} to be the square in the same column as cc that has exactly dd squares vertically below it in the grid (starting at the bottom below the diagonal). Then, let aa be the square to the left of the vertical step of DD in the row of cc^{\prime}, and bb the square in the column of cc^{\prime} on the same diagonal as aa. By an analysis of the heights involved, one sees that bb is indeed a square between the path and the diagonal, and so (a,b)(a,b) form an attacking pair of the desired form. We match cc with the attacking pair (a,b)(a,b) as shown at middle above. By the work in [GorskyMazin], this association is bijective with the attacking pairs formed by taking a square bb between the diagonal and DD and matching it with the entry aa on its diagonal just outside of DD that is farthest to the left.

The remaining pairs are matched with ×\times’s as shown at right above, via the following algorithm. Given a square tt marked with ×\times, we move exactly leg(t)s\left\lfloor\frac{\mathrm{leg}(t)}{s}\right\rfloor columns to the right, and in the new column we find the square tt^{\prime} below DD whose vertical distance to DD equals leg(t)\mathrm{leg}(t). Then the row of tt^{\prime} determines the entry aa to its left, and the entry bb is the unique entry in the column of tt^{\prime} in the same diagonal as aa. This again is a bijection with the remaining pairs by the work in [GorskyMazin]. ∎

2.3. Stacked parking functions

We use the notation of [GGG1, HRW] here, and recall the definition of a stacked parking function that can be used to reformulate the Rise version of the Delta conjecture.

Definition 2.18.

A stack SS of boxes in an n×kn\times k grid is a subset of the grid boxes such that there is one element of SS in each row, at least one in each column, and each box in SS is weakly to the right of the one below it.

A stacked parking function with respect to SS is a labeled lattice path PP with north and east steps from (0,0)(0,0) to (k,n)(k,n) such that each box of SS lies below the path of PP, and the labeling is strictly increasing up each column. (See the right hand diagram in Figure 4.)

We write 𝒟(S)\mathcal{LD}(S) is the set of stacked parking functions with respect to SS, and

𝒟n,kstackSStackn,k𝒟(S).\mathcal{LD}_{n,k}^{\mathrm{stack}}\coloneqq\bigcup_{S\in\mathrm{Stack}_{n,k}}\mathcal{LD}(S).

We will also need the following construction from [GGG1] relating rational parking functions with the stacked ones. Set K=k(nk+1)K=k(n-k+1). Given a standard parking function in the K×kK\times k rectangle, we call a label aa big if a>na>n, and small if ana\leq n. We denote by bib_{i} the number of big labels in the ii-th column, and by sis_{i} the number of small labels. Note that

(3) i=1ksi=n,i=1kbi=Kn\sum_{i=1}^{k}s_{i}=n,\ \sum_{i=1}^{k}b_{i}=K-n
Definition 2.19.

A (K,k)(K,k)-parking function is called admissible if binkb_{i}\leq n-k for all ii.

We construct a map FF from the set of standard admissible (K,k)(K,k) parking functions to the set 𝒟n,kstack\mathcal{LD}_{n,k}^{\mathrm{stack}} as follows:

Refer to caption
Figure 4. The map FF that shrinks a (K,k)(K,k)-parking function to a stacked parking function by removing the big labels. Here k=3k=3 and n=6n=6, so K=9K=9.
  • The parking function F(π)F(\pi) is obtained by erasing all big labels in π\pi and the north steps to the left of them.

  • In particular, the length of the iith vertical run of the lattice path for F(π)F(\pi) is equal to sis_{i}.

  • The height of the stack in column ii is given by hi=nk+1bih_{i}=n-k+1-b_{i}.

See Figure 4 for an example.

Lemma 2.20.

[GGG1, Lemma 4.7] The stacked parking function F(π)F(\pi) is well defined in 𝒟n,kstack\mathcal{LD}_{n,k}^{\mathrm{stack}}. We have a bijection between 𝒟n,kstack\mathcal{LD}_{n,k}^{\mathrm{stack}} and the quotient of the set of admissible (K,k)(K,k) parking functions by the action of SKnS_{K-n} which permutes the big labels.

One can define the analogues of area\mathrm{area} and dinv\mathrm{dinv} statistics for stacked parking functions. These appear in the Delta Theorem, but we do not need them in this paper and refer to [GGG1, Section 4.1] for all definitions and a detailed discussion.

2.4. Affine permutations

We now establish notation on affine permutations.

Definition 2.21.

An (extended) affine permutation in SK~\widetilde{S_{K}} is a bijection ω:\omega:\mathbb{Z}\to\mathbb{Z} such that, for all ii\in\mathbb{Z},

ω(i+K)=ω(i)+K.\omega(i+K)=\omega(i)+K.

We will often write the affine permutations in window notation

ω=[ω(1),,ω(K)].\omega=\left[\omega(1),\ldots,\omega(K)\right].

In order for ω\omega to be well defined, we need ω(1),,ω(K)\omega(1),\dots,\omega(K) to have pairwise distinct remainders modulo KK. By reducing ω(i)\omega(i) modulo KK, we get a projection SK~SK\widetilde{S_{K}}\to S_{K}.

Definition 2.22.

The degree of an affine permutation ω\omega is

(4) degω=1Ki=1K(ω(i)i)=1K(i=1Kω(i)K(K+1)2).\deg\omega=\frac{1}{K}\sum_{i=1}^{K}(\omega(i)-i)=\frac{1}{K}\left(\sum_{i=1}^{K}\omega(i)-\frac{K(K+1)}{2}\right).

One can check that degω\deg\omega is always an integer and deg(ω1ω2)=degω1+degω2.\deg(\omega_{1}\omega_{2})=\deg\omega_{1}+\deg\omega_{2}.

Definition 2.23.

Given λK\lambda\in\mathbb{Z}^{K}, we define the translation by

𝐭λ:=[1+Kλ1,,K+KλK].\mathbf{t}_{\lambda}:=\left[1+K\lambda_{1},\ldots,K+K\lambda_{K}\right].

We have deg(𝐭λ)=|λ|=i=1Kλi.\deg(\mathbf{t}_{\lambda})=|\lambda|=\sum_{i=1}^{K}\lambda_{i}. Furthermore, any affine permutation can be uniquely written as

(5) ω=𝐭λ𝐰=[𝐰(1)+Kλ𝐰(1),,𝐰(K)+Kλ𝐰(K)],λK,𝐰SK.\omega=\mathbf{t}_{\lambda}\mathbf{w}=[\mathbf{w}(1)+K\lambda_{\mathbf{w}(1)},\ldots,\mathbf{w}(K)+K\lambda_{\mathbf{w}(K)}],\ \lambda\in\mathbb{Z}^{K},\mathbf{w}\in S_{K}.
Definition 2.24.

We say that an affine permutation ω=[ω(1),,ω(K)]\omega=[\omega(1),\ldots,\omega(K)] is positive if ω(i)>0\omega(i)>0 for i=1,,Ki=1,\ldots,K. Equivalently, ω=𝐭λ𝐰\omega=\mathbf{t}_{\lambda}\mathbf{w} and λi0\lambda_{i}\geq 0 for i=1,,Ki=1,\ldots,K. We denote the set of positive affine permutations by S~K+\widetilde{S}_{K}^{+}.

Definition 2.25.

We say that an affine permutation ω\omega is normalized, if 1ω1(1)K1\leq\omega^{-1}(1)\leq K, that is, the values ω(1),,ω(K)\omega(1),\ldots,\omega(K) in the window contain 11. Equivalently, we require that λ1=0\lambda_{1}=0. We denote by S~K0\widetilde{S}_{K}^{0} the set of normalized affine permutations, and by S~K+,0\widetilde{S}_{K}^{+,0} the set of positive and normalized affine permutations.

Remark 2.26.

We have a right action of SKS_{K} on SK~\widetilde{S_{K}}. Note that for 𝐮SK{\bf u}\in S_{K} we have

(𝐭λ𝐰)𝐮1=[𝐰𝐮1(1)+Kλ𝐰𝐮1(1),,𝐰𝐮1(K)+Kλ𝐰𝐮1(K)].(\mathbf{t}_{\lambda}\mathbf{w}){\bf u}^{-1}=[\mathbf{w}{\bf u}^{-1}(1)+K\lambda_{\mathbf{w}{\bf u}^{-1}(1)},\ldots,\mathbf{w}{\bf u}^{-1}(K)+K\lambda_{\mathbf{w}{\bf u}^{-1}(K)}].

In particular, the right action of SKS_{K} preserves the sets S~K+,S~K0\widetilde{S}_{K}^{+},\widetilde{S}_{K}^{0} and S~K+,0\widetilde{S}_{K}^{+,0}.

3. Combinatorics of γ\gamma-restricted permutations

In this section, we establish some combinatorial results on a special affine permutation γ\gamma that will correspond to the nil-elliptic element used to construct the affine Springer fibers in the sections below. The facts proven here will help with dimension counting.

3.1. Definition and setup

We will need a special affine permutation γ=γn,k,NS~K\gamma=\gamma_{n,k,N}\in\widetilde{S}_{K} defined as follows:

(6) γ(x)={x+kif 1x(nk)kx+k+1if (nk)k<x<K1+K(N+1)if x=K.\gamma(x)=\begin{cases}x+k&\text{if }1\leq x\leq(n-k)k\\ x+k+1&\text{if }(n-k)k<x<K\\ 1+K(N+1)&\text{if }x=K.\end{cases}
Remark 3.1.

Observe that for a box in row jj and column ii in the K×kK\times k rectangle such that j<Kj<K, the rank of the box (i,j+1)(i,j+1) immediately above (i,j)(i,j) satisfies

rk(i,j+1)=γ(rk(i,j)).\mathrm{rk}(i,j+1)=\gamma(\mathrm{rk}(i,j)).

Furthermore, the boxes with j<Kj<K which are above the main diagonal are exactly those for which x=rk(i,j)x=\mathrm{rk}(i,j) is not divisible by KK, so that either γ(x)=x+k+1\gamma(x)=x+k+1 (if jj is divisible by nk+1n-k+1) or γ(x)=x+k\gamma(x)=x+k (if jj is not divisible by nk+1n-k+1).

Lemma 3.2.

The affine permutation γ\gamma is well defined in SK~\widetilde{S_{K}}. Its projection to SKS_{K} is a single KK-cycle.

Proof.

It is sufficient to prove the second claim. By iterating γ\gamma and reducing modulo KK, we get

1k+1(nk)k+1K+22k+21\mapsto k+1\mapsto\cdots\mapsto(n-k)k+1\mapsto K+2\cong 2\mapsto k+2\mapsto\cdots
k2k(nk)kK1+K(N+1)1modK.\mapsto k\mapsto 2k\mapsto\cdots\mapsto(n-k)k\mapsto K\mapsto 1+K(N+1)\cong 1\mod K.

This completes the proof. ∎

Example 3.3.

For k=4k=4, K=12K=12, N=3N=3, we have

γ=[5,6,7,8,9,10,11,12,14,15,16,49].\gamma=[5,6,7,8,9,10,11,12,14,15,16,49].

Its projection to SKS_{K} is 5,6,7,8,9,10,11,12,2,3,4,15,6,7,8,9,10,11,12,2,3,4,1 in list notation, which in cycle notation is

(1  5  9  2  6  10  3  7  11  4  8  12).(1\,\,5\,\,9\,\,2\,\,6\,\,10\,\,3\,\,7\,\,11\,\,4\,\,8\,\,12).
Definition 3.4.

We say that an affine permutation ω\omega is γ\gamma-restricted if:

  • ω\omega is positive and normalized, and

  • ω1(x)<ω1(γ(x))\omega^{-1}(x)<\omega^{-1}(\gamma(x)) for all xx\in\mathbb{Z}.

Example 3.5.

The affine permutation

ω=[1,5,11,16,6,9,20,10,12,14,15,19]\omega=[1,5,11,16,6,9,20,10,12,14,15,19]

is γ\gamma-restricted for γ\gamma as in Example 3.3, because 55 is to the right of 11, 66 is to the right of 22 (which appears to the left of the window), 77 is to the right of 33 (which appear consecutively just to the left of the window), and so on.

Example 3.6.

We will often consider the inverse of a γ\gamma-restricted affine permutation; for the example above, we have

ω1=[1,2,1,8,2,5,0,5,6,8,3,9].\omega^{-1}=[1,-2,-1,-8,2,5,0,-5,6,8,3,9].
Definition 3.7.

An inversion of an affine permutation ω\omega is a pair (α,β)(\alpha,\beta) of entries such that α\alpha lies in the window (that is, 1ω1(α)K1\leq\omega^{-1}(\alpha)\leq K), α<β\alpha<\beta, and β\beta occurs to the left of α\alpha (that is, ω1(β)<ω1(α)\omega^{-1}(\beta)<\omega^{-1}(\alpha)). Note that β\beta may be to the left of the window.

We write inv(ω)\mathrm{inv}(\omega) to denote the number of inversions of ω\omega.

Example 3.8.

The inversions in the affine permutation ω\omega above are

(1,2),(1,3),(1,4),(1,7),(1,8),(5,7),(5,8),(6,7),(6,8),(6,11),(6,16),(1,2),(1,3),(1,4),(1,7),(1,8),(5,7),(5,8),(6,7),(6,8),(6,11),(6,16),
(9,11),(9,16),(10,11),(10,16),(10,20),(12,16),(12,20),(9,11),(9,16),(10,11),(10,16),(10,20),(12,16),(12,20),
(14,16),(14,20),(15,16),(15,20),(19,20).(14,16),(14,20),(15,16),(15,20),(19,20).

Thus inv(ω)=23\mathrm{inv}(\omega)=23. Note that inv(ω)=inv(ω1)\mathrm{inv}(\omega)=\mathrm{inv}(\omega^{-1}) for any affine permutation ω\omega, and so above we would find inv(ω1)=23\mathrm{inv}(\omega^{-1})=23 as well.

3.2. Relating rational parking functions and affine permutations

Let π\pi be a parking function with Dyck path DD. We consider the following additional labeling: to the right of each vertical step of DD we write the parking function label as usual, and to the left we write the rank of the corresponding box, as in Figure 5.

126105811123479𝟏\mathbf{1}𝟓\mathbf{5}𝟗\mathbf{9}𝟏𝟒\mathbf{14}𝟔\mathbf{6}𝟏𝟎\mathbf{10}𝟏𝟓\mathbf{15}𝟏𝟗\mathbf{19}𝟏𝟏\mathbf{11}𝟏𝟔\mathbf{16}𝟐𝟎\mathbf{20}𝟏𝟐\mathbf{12}
Figure 5. The labeled rational Dyck path π\pi corresponding to ωπ=[1,5,11,16,6,9,20,10,12,14,15,19]\omega_{\pi}=[1,5,11,16,6,9,20,10,12,14,15,19]. The ranks are in bold to the left of the Dyck path, and the parking function is to the right of the path.
Definition 3.9.

To a parking function π\pi we associate an affine permutation ωπ\omega_{\pi} such that ωπ(i)\omega_{\pi}(i) is the rank of the box in the same row as, and just to the left of, the parking function label ii.

Example 3.10.

The parking function π\pi in Figure 5 corresponds to the affine permutation

ω=ωπ=[1,5,11,16,6,9,20,10,12,14,15,19].\omega=\omega_{\pi}=[1,5,11,16,6,9,20,10,12,14,15,19].

which is γ\gamma-restricted as shown above. Note that ω=𝐭λ𝐰\omega=\mathbf{t}_{\lambda}\mathbf{w} where

𝐰=[1,5,11,4,6,9,8,10,12,2,3,7]\mathbf{w}=[1,5,11,4,6,9,8,10,12,2,3,7]

and λ=(0,1,1,1,0,0,1,1,0,0,0,0)\lambda=(0,1,1,1,0,0,1,1,0,0,0,0).

Lemma 3.11.

The map πωπ\pi\mapsto\omega_{\pi} is a bijection between the set of (K,k)(K,k) parking functions and the set of γ\gamma-restricted affine permutations, for any fixed N0N\geq 0.

Proof.

We first show that ω=ωπ\omega=\omega_{\pi} is always γ\gamma-restricted. By Proposition 2.13 the values ω(i)\omega(i) are all positive and have pairwise distinct remainders modulo KK, so ω\omega is a well-defined positive affine permutation. Furthermore, the vertical step at the southwest corner has rank 1, so ω\omega is normalized.

Next, consider two vertical steps in consecutive rows of DD with parking function labels ii and jj, and let m0m\geq 0 be the horizontal distance between them (see Figure 6). Let x=ω(i)x=\omega(i). Then γ(x)\gamma(x) is the rank of the box just above xx by Remark 3.1 since the parking function label ii is not in the top row of the K×kK\times k rectangle (see Remark 3.1).

xxγ(x)\gamma(x)iijjmm
Figure 6.

We have γ(x)=ω(j)+mK=ω(j+mK)\gamma(x)=\omega(j)+mK=\omega(j+mK), so that ω1(γ(x))=j+mK\omega^{-1}(\gamma(x))=j+mK. If m=0m=0, then ω1(γ(x))=j>i=ω1(x)\omega^{-1}(\gamma(x))=j>i=\omega^{-1}(x) by the parking function condition. If m>0m>0, then j+mK>Kij+mK>K\geq i, so again we have ω1(γ(x))>ω1(x)\omega^{-1}(\gamma(x))>\omega^{-1}(x). Finally, for x=ω(i)x=\omega(i) in the top row we have γ(x)=1+(N+1)K\gamma(x)=1+(N+1)K. Since ω1(1)1\omega^{-1}(1)\geq 1, we get

ω1(γ(x))=ω1(1+(N+1)K)=ω1(1)+(N+1)K1+K>i=ω1(x).\omega^{-1}(\gamma(x))=\omega^{-1}(1+(N+1)K)=\omega^{-1}(1)+(N+1)K\geq 1+K>i=\omega^{-1}(x).

We have shown the image ωπ\omega_{\pi} of π\pi under the map is a γ\gamma-restricted affine permutation; we now construct the inverse map. Given a γ\gamma-restricted affine permutation ω\omega, we construct the rational Dyck path by placing vertical steps to the right of the ranks corresponding to the values ω(i)\omega(i) for 1iK1\leq i\leq K. Since ω\omega is positive, by Proposition 2.13 all the vertical steps are to the left of the diagonal. Since ω\omega is normalized, there is a vertical step at the southwest corner of the rectangle. Since ω\omega is an affine permutation, there is one vertical step in each row.

We now show that the vertical steps move weakly to the right from bottom to top, forming a Dyck path by connecting the runs of vertical steps horizontally. For a pair of consecutive vertical steps labeled as in Figure 6 (where mm may be negative) the inequality ω1(x)<ω1(γ(x))\omega^{-1}(x)<\omega^{-1}(\gamma(x)) is equivalent to j+mK>ij+mK>i. Thus m0m\geq 0, so we do indeed have a well-defined Dyck path.

We then label the box to the right of the vertical step labeled ω(i)\omega(i) by ii for each ii. To check that this gives a parking function, either m=0m=0 and j>ij>i (and π\pi satisfies the parking function condition) or jj is to the right of ii. The reverse map clearly inverts the forward map, so the proof is complete. ∎

The following lemma is clear from Lemma 3.11, which is a fact we will need in later sections.

Lemma 3.12.

If ω\omega is γ\gamma-restricted, then ω(i)kK\omega(i)\leq kK for all 1iK1\leq i\leq K.

We now use Lemma 2.17 to translate the dinv\mathrm{dinv} statistic into the language of affine permutations as follows.

Lemma 3.13.

For any πPFK,k\pi\in\mathrm{PF}_{K,k} and ω=ωπ\omega=\omega_{\pi}, we have

δK,kdinv(π)=|{(α,β)1ω1(α)K,ω1(β)<ω1(α),α<βα+k}|\delta_{K,k}-\mathrm{dinv}(\pi)=|\{(\alpha,\beta)\mid 1\leq\omega^{-1}(\alpha)\leq K,\,\omega^{-1}(\beta)<\omega^{-1}(\alpha),\,\alpha<\beta\leq\alpha+k\}|
Proof.

Let DD be the Dyck path of π\pi. Since dinv(π)=pathdinv(D)+tdinv(π)maxtdinv(D)\mathrm{dinv}(\pi)=\mathrm{pathdinv}(D)+\mathrm{tdinv}(\pi)-\mathrm{maxtdinv}(D), we have

δK,kdinv(π)=(δK,kpathdinv(D))+(maxtdinv(D)tdinv(π)).\delta_{K,k}-\mathrm{dinv}(\pi)=\left(\delta_{K,k}-\mathrm{pathdinv}(D)\right)+(\mathrm{maxtdinv}(D)-\mathrm{tdinv}(\pi)).

By Lemma 2.17, the quantity (δK,kpathdinv(D))(\delta_{K,k}-\mathrm{pathdinv}(D)) counts the number of attacking pairs (a,b)(a,b) of boxes such that aa is to the left of a vertical step in DD and bb is between DD and the main diagonal. We claim these pairs correspond to the pairs (α,β)(\alpha,\beta) satisfying the stated conditions and also having ω1(β)0\omega^{-1}(\beta)\leq 0.

Indeed, let α\alpha be the rank of box aa and β\beta the rank of box bb; then ω1(α)\omega^{-1}(\alpha) is the parking function label of π\pi to the right of aa. Since β\beta is below DD, we have that β+qK\beta+qK is a rank of a vertical step for some q1q\geq 1, so we have that ω1(β+qK)=ω1(β)+qK\omega^{-1}(\beta+qK)=\omega^{-1}(\beta)+qK is a parking function label between 11 and KK inclusive. But then that means ω1(β)0\omega^{-1}(\beta)\leq 0. In fact, this analysis shows ω1(β)0\omega^{-1}(\beta)\leq 0 if and only if β\beta is below DD. By Lemma 2.14, we have 1α<βα+k1\leq\alpha<\beta\leq\alpha+k, and since we assumed β\beta is abo