Theta operators, refined Delta conjectures, and coinvariants
Michele D'Adderio, Alessandro Iraci, Anna Vanden Wyngaerd

TL;DR
This paper introduces Theta operators to refine and relate several conjectures in algebraic combinatorics, extending known theorems and proposing new conjectural formulas for coinvariants and symmetric functions.
Contribution
It defines Theta operators, conjectures refinements of the Delta and shuffle conjectures, and extends results to generalized and super-diagonal coinvariants.
Findings
Zabrocki's Catalan theorem is the Schr"{o}der case of the compositional Delta conjecture.
Proves the case k=0 of the generalized Delta conjecture, extending the shuffle theorem.
Proposes a conjectural formula for super-diagonal coinvariants with two Grassmanian variable sets.
Abstract
We introduce the family of Theta operators indexed by symmetric functions that allow us to conjecture a compositional refinement of the Delta conjecture of Haglund, Remmel and Wilson for . We show that the -variable Catalan theorem of Zabrocki is precisely the Schr\"{o}der case of our compositional Delta conjecture, and we show how to relate this conjecture to the Dyck path algebra introduced by Carlsson and Mellit, extending one of their results. Again using the Theta operators, we conjecture a touching refinement of the generalized Delta conjecture for , and prove the case , extending the shuffle theorem of Carlsson and Mellit to a generalized shuffle theorem for . Moreover we show how this implies the case of our generalized Delta square conjecture for…
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Theta operators, refined Delta conjectures, and coinvariants
Michele D’Adderio
Université Libre de Bruxelles (ULB)
Département de Mathématique
Boulevard du Triomphe, B-1050 Bruxelles
Belgium
,
Alessandro Iraci
Università di Pisa and Université Libre de Bruxelles (ULB)
Dipartimento di Matematica
Largo Bruno Pontecorvo 5, 56127 Pisa
Italia
and
Anna Vanden Wyngaerd
Université Libre de Bruxelles (ULB)
Département de Mathématique
Boulevard du Triomphe, B-1050 Bruxelles
Belgium
Abstract.
We introduce the family of Theta operators indexed by symmetric functions that allow us to conjecture a compositional refinement of the Delta conjecture of Haglund, Remmel and Wilson [Haglund-Remmel-Wilson-2015] for . We show that the -variable Catalan theorem of Zabrocki [Zabrocki-4Catalan-2016] is precisely the Schröder case of our compositional Delta conjecture, and we show how to relate this conjecture to the Dyck path algebra introduced by Carlsson and Mellit in [Carlsson-Mellit-ShuffleConj-2015], extending one of their results.
Again using the Theta operators, we conjecture a touching refinement of the generalized Delta conjecture for , and prove the case , which was also conjectured in [Haglund-Remmel-Wilson-2015], extending the shuffle theorem of Carlsson and Mellit to a generalized shuffle theorem for . Moreover we show how this implies the case of our generalized Delta square conjecture for , extending the square theorem of Sergel [Leven-2016] to a generalized square theorem for .
Still the Theta operators will provide a conjectural formula for the Frobenius characteristic of super-diagonal coinvariants with two sets of Grassmanian variables, extending the one of Zabrocki in [Zabrocki_Delta_Module] for the case with one set of such variables. We propose a combinatorial interpretation of this last formula at , leaving open the problem of finding a statistic that gives the whole symmetric function.
Contents
1. Introduction
In the 90’s Garsia and Haiman introduced the -module of diagonal harmonics, i.e. the coinvariants of the diagonal action of on polynomials in two sets of variables, and they conjectured that its Frobenius characteristic was given by , where is the nabla operator on symmetric functions introduced in [Bergeron-Garsia-Haiman-Tesler-Positivity-1999]. In 2002 Haiman proved this conjecture (see [Haiman-Vanishing-2002]). Later the authors of [HHLRU-2005] formulated the so called shuffle conjecture, i.e. they predicted a combinatorial formula for in terms of labelled Dyck paths. Several years later in [Haglund-Morse-Zabrocki-2012] Haglund, Morse and Zabrocki conjectured a compositional refinement of the shuffle conjecture, which specified also the points where the Dyck paths touches the main diagonal. Recently Carlsson and Mellit in [Carlsson-Mellit-ShuffleConj-2015] proved precisely this refinement, thanks to the introduction of what they called the Dyck path algebra. See [Willigenburg_History_Shuffle] for more on this story.
In [Haglund-Remmel-Wilson-2015] Haglund, Remmel and Wilson formulated the Delta conjecture, which can be stated as
[TABLE]
where the sum is over labelled Dyck paths of size with positive labels and decorated rises. It turns out that for this formula reduces to the shuffle conjecture. Recently this conjecture attracted quite a bit of interest: see [TheBible, Section 2] for the state of the art on this problem.
Even more recently Zabrocki in [Zabrocki_Delta_Module] conjectured that this formula gives the Frobenius characteristic of the submodule of the super-diagonal coinvariants of degree in the Grassmannian variables (see Section 8 for the missing definitions). It turns out that the submodule of degree [math] in the Grassmannian variables is precisely the module of diagonal harmonics. So the whole framework of “diagonal harmonics shuffle conjecture” got generalized to this new setting.
In this work we add a new piece to the puzzle, by extending the compositional shuffle conjecture to a compositional Delta conjecture. In order to do so, we introduce a new family of Theta operators on symmetric functions, indexed by symmetric functions . In fact with this article we want to make the case for the Theta operators.
Here are the highlights of the present paper:
- •
We state a compositional Delta conjecture, which will read as follows: for a composition
[TABLE]
where are the symmetric functions appearing in the compositional shuffle conjecture, and is the composition given by the distances between the consecutive points where the Dyck path touches the diagonal, ignoring the rows containing a decorated rise.
- •
We show that Zabrocki’s -variable Catalan theorem [Zabrocki-4Catalan-2016] is actually the Schröder case of our compositional Delta conjecture.
- •
We show that the combinatorial side satisfies a recursion that can be described by the Dyck path algebra in the same way as Carlsson and Mellit proved it for the compositional shuffle conjecture. In this case our theorem will read as
[TABLE]
where is defined recursively, and it coincides with in [Carlsson-Mellit-ShuffleConj-2015] for . This reduces our refinement of the Delta conjecture to an identity of operators.
- •
We state a touching generalized Delta conjecture, which refines the generalized Delta conjecture in [Haglund-Remmel-Wilson-2015] for to
[TABLE]
where are the symmetric functions already appearing in the shuffle conjecture and the sum of the righthand side is over labelled Dyck paths with nonnegative labels of size , with zero labels, decorated rises and touching the diagonal times. Furthermore we state a touching generalized Delta square conjecture, which refines our generalized Delta square conjecture [DAdderio-Iraci-VandenWyngaerd-Delta-Square] for to
[TABLE]
where the sum is over labelled square paths ending east with nonnegative labels, decorated rises and touching the diagonal times.
- •
We prove the case of our touching generalized Delta conjecture, which was already conjectured in [Haglund-Remmel-Wilson-2015, Conjecture 7.5]. This extends the shuffle theorem of Carlsson and Mellit [Carlsson-Mellit-ShuffleConj-2015] to a generalized shuffle theorem for .
- •
We prove the case of our touching generalized Delta square conjecture. This extends the square theorem of Sergel [Leven-2016] to a generalized square theorem for .
- •
We extend Zabrocki’s conjecture [Zabrocki_Delta_Module] to the module of super-diagonal coinvariants of the diagonal action of on polynomials in two sets of commutative variables and two sets of Grassmanian variables:
[TABLE]
- •
We conjecture a combinatorial interpretation for the formula in the previous item at :
[TABLE]
where is the set of labelled Dyck paths with positive labels of size with decorated rises and decorated contractible valleys. We leave open the outstanding problem of finding a statistic that gives the whole symmetric function .
The rest of this paper is organized in the following way. In Section 2 we introduce the basic ingredients of symmetric functions, that will be needed in Section 3 to introduce the Theta operators and to state the basic theorems that led us to their definition. In Section 4 we recall the combinatorial definitions needed in Section 5 to state our refined Delta conjectures. In Section 6 we prove our results about the compositional Delta conjecture, while in Section 7 we prove our results about the touching generalized Delta conjectures. In Section 8 we state our conjectures about the Frobenius characteristics of super-diagonal coinvariants, while in Section 9 we state our combinatorial interpretation of those at . In Section 10 we state more conjectures about the Theta operators. Finally in Section 11 we give the details of the technical proofs of symmetric function theory that we left out in the previous sections.
Acknowledgements
We are happy to thank Mike Zabrocki for providing us useful references, programs and information to check our conjecture on the Frobenius characteristic of super-diagonal coinvariants.
2. Symmetric functions: basics
In this section we limit ourselves to introduce the necessary notation to state our main theorems and conjectures. We refer to Section 11.1 for more on symmetric functions.
The main references that we will use for symmetric functions are [Macdonald-Book-1995], [Stanley-Book-1999] and [Haglund-Book-2008].
The standard bases of the symmetric functions that will appear in our calculations are the complete , elementary , power and Schur bases.
We will use the usual convention that and for .
The ring of symmetric functions can be thought of as the polynomial ring in the power sum generators . This ring has a grading given by assigning degree to for all . As we are working with Macdonald symmetric functions involving two parameters and , we will consider this polynomial ring over the field . We will make extensive use of the plethystic notation.
With this notation we will be able to add and subtract alphabets, which will be represented as sums of monomials . Then, given a symmetric function , and thinking of it as an element of , we denote by the expression with replaced by , for all . More generally, given any expression , we define the plethystic substitution to be with replaced by .
We denote by the Hall scalar product on symmetric functions, which can be defined by saying that the Schur functions form an orthonormal basis. We denote by the fundamental algebraic involution which sends to , to and to .
With the symbol “” we denote the operation of taking the adjoint of an operator with respect to the Hall scalar product, i.e.
[TABLE]
For a partition , we denote by
[TABLE]
the (modified) Macdonald polynomials, where
[TABLE]
are the (modified) Kostka coefficients (see [Haglund-Book-2008, Chapter 2] for more details).
The set is a basis of the ring of symmetric functions with coefficients in . This is a modification of the basis introduced by Macdonald [Macdonald-Book-1995], and they are the Frobenius characteristic of the so called Garsia-Haiman modules (see [Garsia-Haiman-PNAS-1993]).
If we identify the partition with its Ferrers diagram, i.e. with the collection of cells , then for each cell we refer to the arm, leg, co-arm and co-leg (denoted respectively as ) as the number of cells in that are strictly to the right, above, to the left and below in , respectively (see Figure 1).
We set
[TABLE]
and we define for every partition
[TABLE]
Notice that
[TABLE]
For every symmetric function we set
[TABLE]
The following linear operators were introduced in [Bergeron-Garsia-ScienceFiction-1999, Bergeron-Garsia-Haiman-Tesler-Positivity-1999], and they are at the basis of the conjectures relating symmetric function coefficients and -combinatorics in this area.
We define the nabla operator on by
[TABLE]
and we define the Delta operators and on by
[TABLE]
Observe that on the vector space of symmetric functions homogeneous of degree , denoted by , the operator equals . Moreover, for every ,
[TABLE]
and for any , on , so that on .
Recall the standard notation for -analogues:
[TABLE]
[TABLE]
and
[TABLE]
and also the standard notation for the -rising factorial
[TABLE]
In [Haglund-Morse-Zabrocki-2012] the following operators were introduced: for any and any
[TABLE]
and for any composition of , denoted , we set
[TABLE]
The symmetric functions were introduced in [Garsia-Haglund-qtCatalan-2002] by means of the following expansion:
[TABLE]
Notice that setting in (21) we get
[TABLE]
In particular, for we get
[TABLE]
The following identity is proved in [Haglund-Morse-Zabrocki-2012]*Section 5:
[TABLE]
where denotes the length of the composition .
Together with (23) it gives immediately
[TABLE]
The following identity is proved in [Can-Loehr-2006]*Theorem 4:
[TABLE]
3. The Theta operators
In this section we introduce the family of operators and we state a few results about them: we will give the missing proofs in Section 11. See also Section 10 for some conjectures about them.
Recall the definition of the invertible linear operator on defined by , and for any non-empty partition
[TABLE]
For any symmetric function we introduce the following Theta operators on : for every we set
[TABLE]
It is clear that is linear, and moreover, if is homogenous of degree , then so is , i.e.
[TABLE]
Since in the present article we will use mostly a special case of these operators, we introduced the following shorter notation: for , we set
[TABLE]
Notice that is the identity operator on .
The following theorems, which we prove in Section 11, led to the definition of the Theta operators.
Theorem 3.1**.**
For and ,
[TABLE]
Corollary 3.2**.**
For and ,
[TABLE]
Proof.
Using (23), we have
[TABLE]
∎
Theorem 3.3**.**
For and ,
[TABLE]
Corollary 3.4**.**
For and ,
[TABLE]
Proof.
We have
[TABLE]
∎
4. Combinatorial definitions
Definition 4.1**.**
A square path ending east of size is a lattice paths going from to consisting of east or north unit steps, always ending with an east step. The set of such paths is denoted by . We call base diagonal of a square path the diagonal with the smallest value of that is touched by the path (so that ). The shift of the square path is the non-negative value . We refer to the line as the main diagonal. A Dyck path is a square path whose shift is [math], i.e. its base diagonal is the main diagonal. The set of Dyck paths is denoted by . Of course .
For example, the path in Figure 2 has shift .
Definition 4.2**.**
A labelling or word of a square path of size ending east is an element such that when we label the -th vertical step of with
- •
the labels appearing in each column of are strictly increasing from bottom to top;
- •
there is at least one nonzero label labelling a vertical step starting from the base diagonal of ;
- •
if starts with a vertical step, then this first step has a nonzero label.
The set of such labellings with labels equal to [math] is denoted by , and we set .
A partially labelled square path ending east is an element of
[TABLE]
We also define the subset of labelled Dyck paths as
[TABLE]
Definition 4.3**.**
Let be a square path ending east of size . We define its area word to be the sequence of integers such that the -th vertical step of the path starts from the diagonal . For example the path in Figure 2 has area word .
Definition 4.4**.**
We define for each a monomial in the variables : we set
[TABLE]
where is the label of the -th vertical step of (the first being at the bottom), and where we conventionally set . The fact that does not appear in the monomial explains the word partially.
Definition 4.5**.**
The rises of a square path ending east are the indices
[TABLE]
or the vertical steps that are directly preceded by another vertical step.
A decorated square path (respectively Dyck path) is a pair where is a square path (respectively Dyck path) and . We set
[TABLE]
A partially labelled decorated square path (respectively Dyck path) is a triple where is a square path (respectively Dyck path), and is a labelling of . We set
[TABLE]
We will also use the following natural identifications
[TABLE]
Definition 4.6**.**
Given a partially labelled square path, we call zero valleys its vertical steps with label [math] (which are necessarily preceded by a horizontal step, hence the name valleys).
Definition 4.7**.**
Given a partially labelled square path of shift , we define its reading word as the sequence of nonzero labels, read starting from the base diagonal going bottom left to top right, then moving to the next diagonal, again going bottom left to top right, and so on.
If the reading word of is then the reverse reading word of is .
See Figure 2 and Figure 3 for an example.
We define two statistics on this set that reduce to the same statistics as defined in [Loehr-Warrington-square-2007] when .
Definition 4.8**.**
Let and be its shift. Define
[TABLE]
More visually, the area is the number of whole squares between the path and the base diagonal and not contained in rows containing a decorated rise.
If then we set . In other words, the area of a path does not depend on its labelling.
For example, the path in Figure 2 has area .
Definition 4.9**.**
Let . For , we say that the pair is an inversion if
- •
either and (primary inversion),
- •
or and (secondary inversion),
where denotes the -th letter of , i.e. the label of the vertical step in the -th row.
Then we define
[TABLE]
This second term is referred to as bonus dinv.
For example, the path in Figure 2 has dinv : primary inversions, i.e. and , secondary inversion, i.e. , and bonus dinv, coming from the rows , and . Notice that Dyck paths coincide with the square paths with no bonus dinv.
Definition 4.10**.**
Given we define its diagonal composition to be the composition of whose -th part is the number of rows of without a [math] label or a decoration that lie between the -th and the -th vertical step of on the base diagonal not labelled by a [math] (or from the -th step onwards if it is the last such step). See Figure 4 for an example. If , its diagonal composition is defined identically, without the conditions concerning the labels (since there are none).
Definition 4.11**.**
Given we define a touching point of to be a starting point of a vertical step of that lies on the base diagonal, and whose label is not zero. The touching number of is defined as the number of touching points of or equivalently as the length of its diagonal composition. See Figure 4 for an example. For these definitions are the same, without the condition concerning the labels (since there are none).
5. Statements of refined Delta conjectures
In this section we state our refined conjectures.
The following conjecture is due to Haglund, Remmel and Wilson [Haglund-Remmel-Wilson-2015].
Conjecture 5.1** (Generalized Delta).**
Given with ,
[TABLE]
We state our “touching” refinement of this conjecture.
Conjecture 5.2** (Touching generalized Delta).**
Given , and ,
[TABLE]
Remark 5.3*.*
It follows immediately from Corollary 3.2 that our touching generalized Delta conjecture implies the generalized Delta conjecture.
We now state our compositional refinement of the Delta conjecture, i.e. of the case of Conjecture 5.1.
Conjecture 5.4** (Compositional Delta).**
Given , and ,
[TABLE]
Remark 5.5*.*
We observe immediately that the compositional Delta conjecture implies the touching Delta conjecture: combinatorially we clearly have , while on the symmetric function side we use (24).
Remark 5.6*.*
Notice that we have a compositional version only of the Delta conjecture, and not of the generalized Delta conjecture, i.e. only for the number of zero labels equal to [math]. For the dinv seems to be off at the compositional level. This situation should be compared with the final comments of [DAdderio-Iraci-VandenWyngaerd-GenDeltaSchroeder].
Still, we can state the following conjecture.
Conjecture 5.7**.**
Given , , and ,
[TABLE]
The following conjecture appeared in our work [DAdderio-Iraci-VandenWyngaerd-Delta-Square].
Conjecture 5.8** (Generalized Delta square).**
Given with ,
[TABLE]
We state our “touching” refinement of this conjecture.
Conjecture 5.9** (Touching generalized Delta square).**
Given , and ,
[TABLE]
Remark 5.10*.*
It follows immediately from Corollary 3.4 that our touching generalized Delta square conjecture implies the generalized Delta square conjecture.
6. About the compositional version
In this section we prove some results about our compositional Delta conjecture.
6.1. Relation to the -variable Catalan theorem
In [Zabrocki-4Catalan-2016] Zabrocki showed that for any composition
[TABLE]
is the -enumerator of Dyck paths of size with decorated rises and decorated peaks with . So this should match the Schröder of our compositional Delta conjecture, i.e. it should be equal to
[TABLE]
Indeed, this follows immediately from the following lemma, which we prove in Section 11.
Lemma 6.1**.**
For any ,
[TABLE]
This shows that the -variable Catalan result of Zarbrocki is really the Schröder case of our compositional Delta conjecture.
6.2. Relation to the Dyck path algebra
In [Carlsson-Mellit-ShuffleConj-2015] the authors construct the Dyck path algebra by defining combinatorial operators that can be used to compute the -enumerators of specific subsets of labelled Dyck paths. The purpose of this subsection is to use these operators to extend their results to decorated labelled Dyck paths.
6.2.1. Combinatorial translation
The goal is to relate our compositional Delta conjecture to the operators of the Dyck path algebra from [Carlsson-Mellit-ShuffleConj-2015]. Following [Carlsson-Mellit-ShuffleConj-2015], first we need to translate our -enumerator of into one of another bistatistic .
In order to do this we need to extend some definitions and bijections in [Haglund_Loehr_conj_Hilbert] to the decorated setting (cf. also [Haglund-Xin_Lecture-Notes, Chapters 2 and 3]).
Definition 6.2**.**
Let . We define its bounce path as a lattice path from to computed in the following way: it starts in and travels north until it encounters the beginning of an east step of , then it turns east until it hits the main diagonal, then it turns north again, and so on; thus it continues until it reaches .
We label the vertical steps of the bounce path starting from [math] and increasing the labels by every time the path hits the main diagonal (so the steps in the first vertical segment of the path are labelled with [math], the ones in the next vertical segment are labelled with , and so on). We define the bounce word of to be the string where is the label attached to the -th vertical step of the bounce path.
We define the statistic bounce on and as
[TABLE]
Let us start by describing Haglund’s classical bijection (Theorem 3.15 in [Haglund-Book-2008])
[TABLE]
that transforms into .
Take and rearrange its area word in ascending order. This new word, call it , will be the bounce word of . We construct as follows. First draw the bounce path corresponding to . The first vertical stretch and last horizontal stretch of are fixed by this path. For the section of the path between consecutive peaks of the bounce path we apply the following procedure: place a pen on the top of the -th peak of the bounce path and scan the area word of from left to right. Every time we encounter a letter equal to we draw an east step and when we encounter a letter equal to we draw a north step. By construction of the bounce path, we end up with our pen on top of the -th peak of the bounce path. Note that in an area word a letter equal to cannot appear unless it is preceded somewhere by a letter equal to . This means that starting from the -th peak, we always start with a horizontal step which explains why is indeed the bounce word of .
We want to extend to . For an element we apply to . We must now specify what happens to the decorated rises and the labelling of .
Definition 6.3**.**
A corner (or valley) of a Dyck path is one of the indices
[TABLE]
Corners will often be identified with the vertical steps of that are directly preceded by a horizontal step.
Proposition 6.4**.**
If then there exists a bijection between and .
Proof.
Let . It follows that . Take such that . While scanning the area word to construct the path between the -th and -th peak of the bounce path, we will encounter , directly followed by . This will correspond to a horizontal step followed by a vertical step in and thus to an element of . Arguing backwards, it is easy to see that this gives the desired bijection. ∎
Definition 6.5**.**
Given , we define to be the elements such that for every , , where is the index of the column containing the horizontal step preceding the -th vertical step of .
Definition 6.6**.**
The set of pairs with , and will be denoted . The indices in will be referred to as decorated corners: we decorate the -th vertical step of with a for all .
The set of triples with and will be denoted by . In this set, we represent inside the squares containing the main diagonal , starting from the bottom. See Figure 5 on the right for an example.
The following result (without decorations) first appeared in [Haglund_Loehr_conj_Hilbert] (see also [Haglund-Book-2008, Chapter 5]). We sketch its proof for completeness.
Proposition 6.7**.**
There exists a bijection
[TABLE]
Sketch of the proof.
Take . We want to define . Naturally, we set . The decorated corners are given by the bijection described in Proposition 6.4. Lastly, we set to be the dinv reading word of . We claim that . Indeed, is an element of if and only if for every , . These rises correspond to the corners of by the bijection of Proposition 6.4, and the condition on the labels translates into the condition that the dinv reading word of is in : indeed, when representing in the squares of the main diagonal, we ensure that the label contained in the column (respectively row) of a horizontal step (respectively vertical step) is the label of the step of encountered in the construction of at the moment of drawing . It follows that a corner of is constructed by reading the two consecutive vertical steps of whose labels are the ones contained in the column and the row of the horizontal and vertical step of , respectively.
The previous argument works also backwards, ensuring the bijectivity of .
See Example 6.11 for an illustration of this map. ∎
We now extend the statistics on (labelled) Dyck paths to the decorated setting.
Definition 6.8**.**
Take or and let be the bounce word of . Then we set
[TABLE]
Definition 6.9**.**
Consider . An inversion of is a pair with and such that the square whose upper right corner is the intersection of the lines and (i.e. the square lying in the same column as the label and the same row as ) lies under the path . We set to be the total number of inversions of (the statistic is also called in the literature).
Proposition 6.10**.**
The map of Proposition 6.7 is such that for
[TABLE]
Proof.
For , this result is exactly Remark 2.3 in [Carlsson-Mellit-ShuffleConj-2015]. For , it is enough to show that the number of squares in a row containing a decorated rise is equal to the label attached to the step of the bounce path that is in the same row of the vertical step that is part of the corresponding valley. But this is clear as it holds by construction for any vertical step of the preimage (not only for decorated rises). ∎
Example 6.11**.**
The left path of Figure 5, is an element of with area word , and . It follows that its area is . Its primary inversions , its secondary inversions , so its dinv equals .
The path on the right is an element of and the image by of the path on the left. It has . Its bounce word is and , so its bounce is . Its inversions are so its inv equals .
In order to complete our translation, we need to refine our sets according to the compositions.
Definition 6.12**.**
For , let . We will see in Lemma 6.26 a way to compute directly on .
Given a composition , we set
[TABLE]
Remark 6.13*.*
Observe that by definition of , if , then starts with many north steps followed by an east step, i.e. is of the form for a unique path from to that starts with an east step and stays weakly above the diagonal .
We define the -enumerator of this set as
[TABLE]
where .
From the preceding discussion, the following identity is now clear:
[TABLE]
where the right hand side is precisely what appears in our compositional Delta conjecture. This completes our translation. Now we indicate a decomposition of these enumerators.
The following definitions and statements are from [Carlsson-Mellit-ShuffleConj-2015].
Definition 6.14**.**
For , we define the zero-weight characteristic function of as
[TABLE]
The zero-weight characteristic function is a special case of a more general weighted characteristic function (see [Carlsson-Mellit-ShuffleConj-2015]*Subsection 3.2) where is any function: it corresponds to the case . It is proved in [Carlsson-Mellit-ShuffleConj-2015]*Proposition 3.7 that the ’s are symmetric functions.
The following proposition follows immediately from the definitions.
Proposition 6.15**.**
We have
[TABLE]
6.2.2. Dyck path algebra operators
Again following [Carlsson-Mellit-ShuffleConj-2015], we now introduce the operators of the Dyck path algebra in order to give an expression of in terms of them.
Given a polynomial depending on variables , define the operator as
[TABLE]
In [Carlsson-Mellit-ShuffleConj-2015] this operator is called , but we changed the notation in order to avoid confusion with the operator defined on .
Definition 6.16** ([Carlsson-Mellit-ShuffleConj-2015]*Definition 4.2).**
For , define . Let
[TABLE]
We define the operators and : for
[TABLE]
The idea is to use these operators to get the zero-weight characteristic functions . In fact for our purposes it will be convenient to define the corresponding operators for partial Dyck paths.
Definition 6.17**.**
Let be the set of paths from to consisting of east or north unit steps, starting with an east step, and staying weakly above the diagonal , together with their translates by vectors of the form with .
Set and , and let be defined as
[TABLE]
for , where is the usual Lie bracket.
Definition 6.18**.**
Given a Dyck path , let be the unique element such that for some . Then we define .
We have the following fundamental theorem.
Theorem 6.19** ([Carlsson-Mellit-ShuffleConj-2015]*Corollary 4.6).**
For any Dyck path ,
[TABLE]
The following corollary is now immediate.
Corollary 6.20**.**
We have
[TABLE]
Proof.
Just combine (42) with (43). ∎
Remark 6.21*.*
Observe that, from (44), the Remark 6.13, and the definition of the function , for we have
[TABLE]
We need one more definition: given two compositions and , we define their concatenation as , which is obviously also a composition.
We are now ready to express in terms of the operators of the Dyck path algebra. This is the main theorem of this section, and it extends [Carlsson-Mellit-ShuffleConj-2015, Theorem 4.1] to the decorated setting.
Theorem 6.22**.**
If is a composition of length , then we have
[TABLE]
where is defined by the recursive relations
[TABLE]
and for
[TABLE]
with initial conditions .
In order to prove this theorem, we need to define some combinatorial maps, and prove some lemmas concerning them.
6.2.3. Combinatorial recursion
Definition 6.23**.**
We define as follows: given take the portion of between the first two touching points (or the whole path if there is only one touching point), remove its first (north) step and its last (east) step, and attach it to the end of the path. If the first rise was decorated we remove the decoration since it is no longer a rise. See Figure 6.
This map is linked to a family of maps, all of which are essentially its right inverses.
For a composition and an integer we set
[TABLE]
We define two similar maps:
[TABLE]
Given and , call and the portions of below and above its -th touching point, respectively, if , while and if . Notice that if then it necessarily starts with a north step. To define we set
[TABLE]
i.e. the path that starts at with a north step, followed by , an east step and finally . We use the same definition for . For the decorations, we keep the decorations on the rises in the same place, relative to and . When , i.e. , starts with a north step, and so must start with two north steps, so the second step of is a newly created rise, which we can choose to decorate or not. This choice is the difference between and : for the former we do not decorate the new rise while for the latter we do. It is clear from the definitions that and .
Definition 6.24**.**
We define which takes and deletes the first sequence of the path and if this step was part of a decorated corner, it removes its decoration since it is no longer a corner. See Figure 7.
Again, we have a family of right inverses.
[TABLE]
Take . Set to be the number such that starts from the bottom with north steps followed by an east step. Define to be the portion of following its first vertical steps. Notice that by definition of the map and , we have . Set . For , we define
[TABLE]
i.e. we add one sequence after the first North steps and we keep the decorated corners as they are, relative to .
If we also have a map defined as
[TABLE]
i.e. the path is defined in the same way as before, and we decorate the only new corner.
It is not immediately clear that for we have and , but it follows from the following lemma.
Lemma 6.25**.**
- (i)
For all and we have
[TABLE] 2. (ii)
We have . 3. (iii)
The following diagrams commute
[TABLE]
Proof.
For no decorations, this is exactly [Haglund-Xin_Lecture-Notes, Corollary 2.7]. The exact same argument generalizes to our case, keeping track of the decorations, so we omit it. ∎
Lemma 6.26**.**
Given we have
[TABLE]
Proof.
Consider . It is easy to see from the definition of that
[TABLE]
It follows that
[TABLE]
The result now follows from Lemma 6.25 (iii) and Proposition 6.10. This proves the first equality. The second one follows from the first one together with the obvious
[TABLE]
∎
Proposition 6.27**.**
Let , and consider . Then either for some or for some .
Proof.
Let . We have to prove that for ; in fact, if this is true, then necessarily for some if the first corner in is decorated, or if it is not (as the total size is the size of the composition plus the number of decorations, and applying decreases the size by exactly one unit).
Recall that
[TABLE]
So it will be sufficient to show that
[TABLE]
for , as it implies our thesis by simply taking the relevant differences. But notice that the two bounce paths are identical from the first bouncing point onwards by construction (see Figure 8), as after the first bouncing point they belong to two identical regions (and whatever happens before is irrelevant, because the labels are all [math]’s). The thesis follows. ∎
Remark 6.28*.*
The strategy for the recursion in terms of is as follows: if then is a path whose diagonal composition is with either (no decoration removed) or (decoration removed). During this procedure the area always decreases by . Except for the contribution to the dinv of the first step of , which gets deleted, the dinv does not change overall: indeed for the steps that are moved, the primary dinv becomes secondary and vice versa.
6.2.4. Proof of Theorem 6.22
We are now in a position to prove Theorem 6.22: this subsection is dedicated to its proof.
Thanks to Remark 6.21, it will be enough to prove that
[TABLE]
Let be a composition with , and let . We want to prove (49) by induction on (i.e. the size of the paths).
If , then , and the only path with the empty composition is the empty path, which has no decorations and only admits the empty labelling. It follows that the sum is nonempty if and only if . Also, , so that
[TABLE]
hence the initial conditions match.
Consider now a nonempty composition, say with and a (possibly empty) composition of length . Combining Lemma 6.25 and Proposition 6.27, we get the decomposition
[TABLE]
So by the induction hypothesis we know that
[TABLE]
Consider . Provided that , we get
[TABLE]
with and , so that
[TABLE]
Notice that if and we apply , then we obtain the exact same identity.
If instead, in the first case, i.e. when we apply , we have , so
[TABLE]
with and , from which we get
[TABLE]
In the other case, i.e. when we apply , we have instead, and it works as before.
Now we look at what happens to the bounce. By Lemma 6.26, we have
[TABLE]
The same identity holds when replacing with and with .
Since , we get for
[TABLE]
Similarly, we have and so for we get
[TABLE]
We can conclude that when , by applying (48), we get
[TABLE]
which is precisely (45).
The argument for is very similar but it uses (47), (55) and (56) instead of (48), (53) and (54). This completes the proof of Theorem 6.22.
6.2.5. Operator version of the compositional Delta conjecture
We can state our operator version of the compositional Delta conjecture.
Conjecture 6.29** (Operator Delta conjecture).**
If is a composition of length , then
[TABLE]
with defined as in Theorem 6.22.
The following proposition is an immediate consequence of Theorem 6.22 and (41).
Proposition 6.30**.**
The compositional Delta conjecture, i.e. Conjecture 5.4, is equivalent to the operator Delta conjecture, i.e. to Conjecture 6.29.
7. About the touching version
7.1. Proof of the generalized shuffle conjecture
In this section we prove the generalized shuffle conjecture, i.e. the special case of Conjecture 5.2, which is also Conjecture 7.5 in [Haglund-Remmel-Wilson-2015].
Theorem 7.1** (Touching generalized shuffle).**
Given with ,
[TABLE]
This theorem extends the shuffle theorem of Carlsson and Mellit [Carlsson-Mellit-ShuffleConj-2015].
The rest of this subsection is devoted to the proof of this result. We start by introducing some convenient combinatorial objects.
Definition 7.2**.**
An augmented Dyck path is a labelled Dyck path with labels in , such that all the labels lie on the main diagonal and they are the only labels in their own columns. See Figure 9 for two examples.
We denote by the set of augmented Dyck paths of size with labels [math] and labels . We compute the statistics as follows: the area is not influenced by the labels. The definition of the dinv stays the same, using the following conventions: for each positive label , but and . Finally, to compute the relevant monomials, we set . For example, the augmented Dyck path to the right of Figure 9 has area , dinv , and the corresponding monomial equals .
We have the following combinatorial identity.
Proposition 7.3**.**
Given with
[TABLE]
Proof.
Given any path with , we can insert labels on the diagonal, and the contribution to the dinv given by those labels is exactly : choose an interlacing between the labels and the labels on the diagonal; each time one of the latters precedes one of the formers, a unit of dinv is created. Summing over all the possible values of we get the desired identity. ∎
Applying nabla to (22), we get
[TABLE]
Recall that Carlsson and Mellit in [Carlsson-Mellit-ShuffleConj-2015] showed in particular that
[TABLE]
Combining all this with (61) we get immediately the following corollary.
Corollary 7.4**.**
For with , we have
[TABLE]
Our goal is to show the following more general theorem.
Theorem 7.5**.**
For with , we have
[TABLE]
On the symmetric function side, the key identity is provided by the following theorem, that we prove in Section 11.
Theorem 7.6**.**
For with , we have
[TABLE]
Proof of Theorem 7.5.
We proceed by induction on . The base case is exactly (64), which is proved. Now suppose that the thesis is true for . To show that the thesis holds for , we need a combinatorial interpretation of (66). Recall that, as by definition , a combinatorial interpretation of is given by the -enumerator of the elements in whose reading word is a -shuffle, where the biggest labels (which we call big labels) do not contribute to the monomial (see [Haglund-Book-2008, Chapter 6] for the theory of shuffle).
Notice that each occurrence of a big label must be a peak, since all the labels lie on the diagonal. Suppose that exactly of these labels lie on the diagonal, while do not. First we replace the big labels on the diagonal by labels: this gives a contribution of to the dinv depending on the interlacing of these labels with the many labels that were already on the diagonal. Then we “push in the peaks”, namely we move the vertical step in the rows containing a big label right after the following horizontal step, and we replace the label with a [math]: see Figure 9 for an example.
It is easy to check that this operation decreases the area by (taken into account by the factor ) and does not change the dinv (as it sends the primary inversions involving these labels to secondary inversions and vice versa). This way we get a path in . By inductive hypothesis, for we have that is the -enumerator of this set. Replacing this in (66), and taking into account the combinatorial interpretation of the left hand side, we get
[TABLE]
which simplifies to
[TABLE]
which is what we wanted to prove. ∎
Applying to (62) we get the symmetric function counter part of (61), i.e.
[TABLE]
Now to see that (65) implies our touching generalized shuffle conjecture, observe that (67) for gives a system of linear equations relating the symmetric functions
[TABLE]
with , whose coefficient matrix is . Clearly the determinant of this matrix is in , and in fact setting in it we get . The following lemma shows that this determinant is .
Lemma 7.7**.**
For ,
[TABLE]
Proof.
Set , and call (resp. ) the row (resp. column) operator that replaces the -th row (resp. column) of a matrix with itself minus the -th one. Notice that these operators do not change the determinant.
Let us consider the matrix
[TABLE]
By construction, it is immediate to check that in the first row of all coefficients are [math], except the leftmost one, which is equal to .
On the other hand, using the well-known identity , we can check that first for the row operators changed the coefficient into , and then for the column operators changed the latter into . So the submatrix of corresponding to the indices is actually equal to . By induction on (the case being trivial), we conclude that , as we wanted. ∎
From this it follows that the system (67) for has a unique solution, so that the are uniquely determined by the and by the system.
Now the combinatorial counterpart of (67) is (61), so that also the combinatorial interpretations of and are in the same relation. From this we can conclude that the proof of the combinatorial interpretation for implies the one for , which is what we wanted. This completes the proof of Theorem 7.1.
7.2. Proof of the generalized square conjecture
In this section we show that the touching generalized shuffle conjecture (Theorem 7.1) implies the touching generalized square conjecture:
Theorem 7.8** (Touching generalized square).**
Given with ,
[TABLE]
The rest of this subsection is dedicated to the proof of this theorem.
We begin by giving equivalent well-known formulations of Theorem 7.1 and Theorem 7.8. In order to do this, we need some definitions.
Definition 7.9**.**
A partial preference function is a partially labelled square path in whose nonzero labels are exactly the numbers . The subset of these paths is denoted by .
A partial parking function is a partial preference function whose shift is [math]. The set of such paths is denoted by .
Definition 7.10**.**
For every , let denote the Gessel fundamental quasisymmetric function of degree indexed by , i.e.
[TABLE]
Definition 7.11**.**
The descent set of a given permutation is the set of indices such that , denoted by . We define the inverse descent set of a permutation as
[TABLE]
Take . We set to be the reverse reading word of (see Definition 4.7). The inverse descent set of a preference function is defined by
[TABLE]
Theorem 7.1 and Theorem 7.8 are equivalent to the following equations, respectively
[TABLE]
The argument is essentially identical to the one given for the shuffle conjecture in [Haglund-Book-2008, Chapter 6], so we omit it.
We will show here that the first of these equations implies the second one. We will use the same strategy that Sergel used in [Leven-2016], where she proved that the shuffle conjecture implies the square conjecture. Notice that our notation will be slightly different from the one in [Leven-2016].
Definition 7.12**.**
Take with shift and set . For define to be the labels of contained in the diagonal , in increasing order. Define the diagonal word of as
[TABLE]
It is clear from the definition of a preference function that the are the maximal substrings of consecutive weakly increasing numbers of : we will call them runs of . We set to be the number of elements in . A run will be referred to as positive, zero or negative, referring to the sign of its index .
Remark 7.13*.*
Notice that a run of a diagonal word never consists of only zeros.
Definition 7.14**.**
Let be a preference function with shift and diagonal word , where the ’s are the runs of . Let be a nonzero element of . We define the schedule number of as follows:
- (1)
if is in a positive run, then equals the number of elements bigger than in its run plus the number of elements smaller than in the next run; 2. (2)
if is the zero run, then equals plus the number of elements bigger than in its own run; 3. (3)
if is in a negative run, then equals the number of elements smaller that in its run plus the number of elements bigger that in the previous run.
Note that these schedule numbers do depend on the shift to determine which is the zero run.
Definition 7.15**.**
For a whose diagonal word is we define its reduced diagonal word, or to be the word obtained from by deleting all the zeros.
Example 7.16**.**
Consider the path represented in Figure 10. Its shift is and its diagonal word is . There is one positive run which is , the zero run is and there are three negative runs: , and . The schedule numbers are
Its reduced diagonal word is
The following theorem extends [Leven-2016, Theorem 2.5].
Theorem 7.17**.**
Let be the set of preference functions such that
[TABLE]
where the ’s are the runs of . Let where we obtain by deleting the zeros from . Set and . Then
[TABLE]
Remark 7.18*.*
Notice that the are not necessarily the runs of .
Proof.
First of all, observe that the area of a path in is given by . Indeed, its area is clearly given by
[TABLE]
Let us now consider the dinv. We obtain the formula by constructing every possible path in , while keeping track of the dinv. See Figure 11 for an example.
We start with an empty path. For we do the following.
- •
Reading from right to left , we insert first its nonzero elements one by one, into the diagonal of the grid, in a way that each step defines a parking function. For each of these elements there are exactly ways to do this. Furthermore, the dinv added to the resulting path by each of these choices gives all the values from [math] to , hence the factor .
- •
Next, we insert the zeros of , also into the diagonal . A zero label can occur directly after another label in its diagonal, provided that the first label in the diagonal is not zero. Each time a nonzero label precedes a zero label, one unit of dinv is created: indeed, since we are always inserting into the highest diagonal, the zeros only create primary dinv. It follows that the dinv that is created is -counted by the factor .
Then, for we proceed as follows.
- •
We insert zeros into the diagonal , so as to obtain a labelled square path. We must insert every such zero label directly underneath a nonzero label of the diagonal , of which there are , or directly before another zero. To give a preference function, the last zero in the diagonal must always be of the first kind. Each time a nonzero label in the diagonal precedes a zero label in the diagonal , one unit of secondary dinv is created. This explains the factor .
- •
Next, we insert the nonzero labels of , one by one, from left to right. It is not hard to see that for such a there are exactly ways to insert it, and the dinv of the different options is -counted by .
Finally, the factor accounts for the bonus dinv, i.e. for the number of nonzero labels in negative runs. ∎
Definition 7.19**.**
Set to be the set of permutations of where is the multiset containing zeros.
Proposition 7.20**.**
Consider . Let be its runs and set , where is obtained from by deleting its zeros. Set . We have
[TABLE]
Proof.
In fact we will show that
[TABLE]
This easily implies the thesis: just divide by the sum on the left hand side, and multiply these identities starting from , in order to get the identity in the statement.
We will make use of Theorem 7.17.
Notice that, with the exception of and , the sign of any other run (i.e. it being positive, negative or zero) is the same for shift and shift . It follows that, after replacing in (72) the corresponding formulae from Theorem 7.17 (notice the difference in the numbering of the runs in the statement), the terms concerning these runs are the same for the right hand side and left hand side. Therefore, after the obvious cancellations, we are left to prove that
[TABLE]
which is equivalent, after further cancellations, to
[TABLE]
By the definition of the schedule numbers we know that
[TABLE]
So the above condition reduces to showing that
[TABLE]
which is equivalent, after trivial cancellations, to
[TABLE]
We will prove this identity in Lemma 7.21, concluding the proof of this proposition. ∎
Lemma 7.21**.**
Let and be the diagonal word and reduced diagonal word of a given preference function, respectively, where and are the runs of and and are obtained by deleting the zeros of and , respectively. Set , , and . Then
[TABLE]
Proof.
The general argument is better understood with the help of a specific example.
Consider , so that
[TABLE]
Let us define a partition by setting
[TABLE]
In Figure 12 we construct the Young diagram of as follows: draw a grid. Label its rows, bottom to top with the elements of and its columns, left to right with the elements of . Then is the number of cells in the -th row from the top such that the label of its column is smaller then the label of its row. We coloured all such cells blue.
It is now clear from Figure 12 that the conjugate partition of is such that
[TABLE]
These partitions are useful because they encode essential information about the schedule numbers of elements that appear in the thesis. Recall that is a positive run for shift [math] and so equals the number of elements bigger than in plus the number of elements smaller than in . Similarly, is a negative run for shift , so equals the number of elements smaller than in plus the number of elements bigger than in .
So if is the -th element of , we must have
[TABLE]
where the first term is the number of elements of that are bigger than , the second term accounts for the number of elements in that are smaller then and different from [math] and the last term counts the number of zeros in the next run (that must necessarily be smaller then ).
Similarly, if is the -th element of , we have
[TABLE]
where the first term is the number of elements in smaller than and different from [math], the second term the number of zeros in (which are smaller than ) and the third term the number of elements in bigger than .
So for our running example, the schedule numbers are computed in Figure 13.
Using this decomposition of the schedule numbers, we can write
[TABLE]
The fact that these two equations are equal turns out to be a consequence of a general fact about partitions.
Consider the Ferrers diagram of whose parts are justified to the right (see Figure 14). Next, delete all the cells in the bottom right rectangle that are not elements of , when is placed in the top left corner of this rectangle: see Figure 14. Call the resulting skew diagram . Next, label the bottom rows with the elements of , starting from the bottom; and the rightmost columns with the elements of , starting from the left.
- •
The rows of . It follows from the discussion above and the construction of , that if , and is the label of the -th row of , then the number of cells in this -th row equals . The remaining rows form a staircase.
- •
The columns of . Similarly, if , and is the label of the -th row from the right of , then the number of cells in this row equals . The remaining columns form a staircase.
It follows that taking the product of the -analogues of the multiset recording the length of the rows (respectively columns) yields (73) (respectively (74)).
To conclude, we only need the following general observation.
Lemma 7.22**.**
Let be the staircase partition, and let . Then the multiset of the lengths of the rows of equals the multiset of the lengths of its columns.
Proof of the Lemma.
It follows immediately from the observation that any internal corner of a skew shape of the form with (i.e. a cell in adjacent to that once removed leaves a skew shape) belongs to exactly one row and exactly one column of and these must have the same length. Then removing an internal corner does not change the equality between the multisets that we are considering, so that we can remove the cells from one at the time to get . ∎
This concludes the proof of the theorem. ∎
Corollary 7.23**.**
Take . Let be the number of nonzero elements in the rightmost run of . Then
[TABLE]
Proof.
Let with the ’s its runs and , where is obtained from by deleting its zeros. Set . Applying Proposition 7.20, we get
[TABLE]
But
[TABLE]
concluding the proof. ∎
This result gives a link between the -enumerators of preference functions and parking functions. Next, we need to deal with the Gessel quasisymmetric functions in (71).
In her thesis [Hicks-Thesis, Corollary 73], Hicks found a way to factor the -enumerator
[TABLE]
out of the expression
[TABLE]
where is the set of parking functions of size with a fixed diagonal word. In [Leven-2016, Lemma 4.2], Sergel showed that Hicks’ argument generalizes in a straightforward way to the case where is the set of preference functions of a given diagonal word and shift. We notice here that in fact again the same argument works in the case where is the set of partially labelled preference functions of a given diagonal word and shift. The proof will be exactly the same as the ones given in the two aforementioned references, so we omit it.
Definition 7.24**.**
Consider . A consecutive block of is a substring of of the form with . Define to be the Young subgroup of which permutes only elements within the same consecutive block of .
This definition coincides with the one in [Hicks-Thesis] when .
Example 7.25**.**
If then .
Definition 7.26**.**
If and is obtained from by deleting its zeros, we set .
For an argument to prove the following proposition, see [Hicks-Thesis]*Corollary 73 or [Leven-2016, |lemma 4.2].
Proposition 7.27**.**
Given , if
[TABLE]
then
[TABLE]
We combine this proposition with Corollary 7.23.
Corollary 7.28**.**
Take . Let be the number of nonzero elements in the rightmost run of . Then
[TABLE]
Proof.
Take to be the number of runs of . Then
[TABLE]
[TABLE]
∎
We are now ready to prove the announced result.
Proof of Theorem 7.8.
Using Theorem 7.1, we have
[TABLE]
∎
8. Super-diagonal coinvariants and Theta operators
In this section we extend a conjecture of Zabrocki in [Zabrocki_Delta_Module].
Let , , and consider the algebra of polynomials in sets of variables
[TABLE]
where the and are commuting variables, while the are Grassmannian variables, i.e. for and (notice that in variables from different sets commute with each others).
Consider the diagonal action of the symmetric group , i.e. each element of permutes simultaneously the sets of variables acting on their indices, and let be the ideal of generated by the homogeneous invariants of positive degree. Following [Zabrocki_Delta_Module], we call the quotient the space of super-diagonal coinvariants (in [Zabrocki_Delta_Module] Zabrocki calls in this way only the case ).
Clearly is an -module, naturally -graded by the degree in the sets of variables. For and , denote by the homogeneous submodule of of multidegree in the respective variables ’s, ’s, ’s,…, ’s.
For a partition of , let be the value of the character of the -module on a permutation of cycle type . Define the -Frobenius image for super-diagonal coinvariants as
[TABLE]
where , , and with equal to the number of parts of size in .
Using Theorem 3.1, Zabrocki’s conjecture in [Zabrocki_Delta_Module] can be restaded in the following way.
Conjecture 8.1** (Zabrocki).**
For
[TABLE]
Now we state our conjecture for .
Conjecture 8.2**.**
For
[TABLE]
More generally, we risk the following conjecture.
Conjecture 8.3**.**
For , and with
[TABLE]
where the left hand side is the -Frobenius image of the -module .
Notice that this last conjecture does not wholly cover the module . Indeed it seems that there are nonzero submodules of total degree in the variables for that are not present for : we do not have a formula for those.
Remark 8.4*.*
It is a classical result that the Frobenius characteristic of the classical harmonics , i.e. the coinvariants of the action of on is given by
[TABLE]
while, thanks to a theorem of Haiman [Haiman-Vanishing-2002], the Frobenius characteristic of the diagonal harmonics , i.e. the coinvariants of the diagonal action of on is given by
[TABLE]
It is probably worth mentioning that Haglund’s [Haglund-Schroeder-2004]*Theorem 2.5 translates into
[TABLE]
so that
[TABLE]
and hence
[TABLE]
Though the obvious generalization of this formula does not seem to hold, it is at least conceivable that the Theta operators (or possibly some variation/extension of them) will give the universal formula for super-diagonal coinvariants with sets of commuting variables and sets of Grassmannian variables conjectured by Bergeron and Zabrocki (see [Bergeron_Multivariate_Coinvariants] for these explicitly computed formulas up to ).
9. A Theta conjecture (?)
Let be the set of partially labelled Dyck paths with contractible valleys decorated with a , where a contractible valley (see [Haglund-Remmel-Wilson-2015]) is a vertical step which is either preceded by two horizontal steps or by one horizontal step and the label in its row is bigger than the label in the row immediately below. We define the area of a path as the area of the underlying decorated Dyck path in , and its monomial in the usual way (i.e. the decorations on the valleys do not affect the area nor the monomial).
Experimentally, we observed the following formula.
Conjecture 9.1**.**
For with and ,
[TABLE]
It is a very interesting problem to find a statistic on which would give the full . Notice that this might be a statistic that “interpolates” the rise version of the Delta conjecture (i.e. the one that we stated in this article) and its valley version: see [Haglund-Remmel-Wilson-2015] for details. Such a conjecture, which should better be called Theta conjecture, would bring the whole framework of the Delta conjecture to this new more general setting.
10. More on Theta operators
10.1. Relation to the operators
Recall the definition of the operators from [Bergeron-Garsia-Haiman-Tesler-Positivity-1999]: for and any
[TABLE]
Recall the following well-known identities [Bergeron-Garsia-Haiman-Tesler-Positivity-1999, Equation I.12 (i) and (ii)]
[TABLE]
where denotes the multiplication by .
The next proposition is proved in Section 11.
Proposition 10.1**.**
We have
[TABLE]
Remark 10.2*.*
It has been shown in [Garsia-Haiman-Tesler-Explicit-1999] that is spanned by the symmetric functions obtained by applying and to the constant .
We use the standard commutator notation for associative algebras, i.e. .
Conjecture 10.3**.**
For any ,
[TABLE]
and
[TABLE]
Remark 10.4*.*
It is clear from their definition that the operators commute with each others, i.e. for all we have . Using (82), it is now clear that the identities (83) and (84) are equivalent.
From Remark 10.2 it follows that the relations (83) and (84) determine the operators uniquely.
Finally, notice that in terms of the operators of Carlsson and Mellit (cf. [Carlsson-Mellit-ShuffleConj-2015]), the identity (82) translates in
[TABLE]
It would be interesting to see if the ’s have a similar formula, i.e. a formula in terms of the operators of the Dyck path algebra. This could be a step towards a proof of the operator Delta conjecture (and hence of the compositional Delta conjecture).
10.2. Schur positivity conjectures
As it is natural to do in these situations, after we discovered the Theta operators we looked for Schur positivity. Sure enough, we found out experimentally that anything that comes naturally from the nabla operator and is Schur positive remains Schur positive after applying for any .
With our limited experimental evidence, we risk the following conjecture.
Conjecture 10.5**.**
For , , , and any partition we have
[TABLE]
where is a nonnegative integer that depends on , but not on nor on (cf. [Haglund-Book-2008, Appendix B]).
11. Technical proofs
11.1. Symmetric functions: tools
In this subsection we introduce more tools from symmetric function theory, that we are going to use in our proofs.
11.1.1. More symmetric function notation
It is useful to introduce the so called star scalar product on given by
[TABLE]
where if the statement is true, and otherwise.
For every symmetric function and we have (see [Garsia-Haiman-Tesler-Explicit-1999, Proposition 1.8])
[TABLE]
where
[TABLE]
Observe that
[TABLE]
For all symmetric functions we have
[TABLE]
so the operator is the adjoint of the multiplication by with respect to the star scalar product.
We record here the addition formulas
[TABLE]
and
[TABLE]
Notice in particular that equals and not . As the latter sort of negative sign can be also useful, it is customary to use the notation to express it: we will have , so that, in general,
[TABLE]
for any symmetric function .
We refer to [Haglund-Book-2008] for more informations on this topic.
11.1.2. Macdonald symmetric functions fundamental identities
It turns out that the Macdonald polynomials are orthogonal with respect to the star scalar product: more precisely
[TABLE]
These orthogonality relations give the following Cauchy identities
[TABLE]
We will use the following form of Macdonald-Koornwinder reciprocity (see [Macdonald-Book-1995] p. 332 or [Garsia-Haiman-Tesler-Explicit-1999]): for all nonempty partitions and
[TABLE]
11.1.3. Pieri rules and summation formulae
For a given , we define the Pieri coefficients and by setting
[TABLE]
The following identity is Proposition 5 in [Bergeron-Haiman-2013], written in the notation of [Garsia-Haglund-Xin-Zabrocki-Pieri-2016], which is coherent with ours:
[TABLE]
where means that is contained in (as Ferrers diagrams) and has lattice cells, while the symbol is analogously defined. It follows from (93) that
[TABLE]
11.1.4. Other useful identities
In this section we collect some results from the literature that we are going to use later in the text.
The following identity is Proposition 2.2 in[Garsia-Haglund-qtCatalan-2002]:
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So, using (94) with , we get
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For , Macdonald proved (see [Macdonald-Book-1995] p. 362) that
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so that, since by Pieri rule ,
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We need the following well-known proposition.
Proposition 11.1**.**
For we have
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Moreover, for all with , we have
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and
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We will need two more identities: Lemma 5.2 in[DAdderio-VandenWyngaerd-2017], i.e. for
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and
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where is the generalized Pieri coefficient defined by
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We will use also [Haglund-Schroeder-2004]*Theorem 2.6, i.e. for any homogeneous
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where is the generalized Pieri coefficient defined by
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Another identity that we will need is [Garsia-Hicks-Stout-2011, Proposition 2.6]:
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Finally, we will use the following theorem from [DAdderio-VandenWyngaerd-2017].
Theorem 11.2** ([DAdderio-VandenWyngaerd-2017]*Theorem 3.1).**
For and , we have
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11.2. Proof of Theorem 3.1
Using (104), we have
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11.3. Proof of Theorem 3.3
Using (106), we have
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11.4. Proof of Proposition 10.1
It is enough to check (82) on the Macdonald basis: for
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11.5. Proof of Theorem 7.6
We have
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where we used
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11.6. Proof of Lemma 6.1
We have
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[TABLE]
References
