Noncommutative unicellular LLT polynomials
Jean-Christophe Novelli and Jean-Yves Thibon
LIGM, Université
Gustave-Eiffel, CNRS, ENPC, ESIEE-Paris
5 Boulevard Descartes
Champs-sur-Marne
77454 Marne-la-Vallée cedex 2
FRANCE
[email protected]
[email protected]
Abstract.
It is known that unicellular LLT polynomials are related to the quasi-symmetric
chromatic polynomials of certain graphs by the (t−1)-transform of symmetric functions.
We investigate the extension of this transformation to various combinatorial
Hopf algebras and prove a noncommutative version of this property.
Key words and phrases:
Noncommutative symmetric functions, Quasi-symmetric functions,
LLT polynomials
1991 Mathematics Subject Classification:
05E05, 20C30, 60C05
1. Introduction
In their proof of the shuffle conjecture [3], Carlsson and Mellit obtain
a remarkable relation between unicellular LLT polynomials and the
quasi-symmetric chromatic polynomials [24] of certain graphs, namely
[TABLE]
The graphs G are simple undirected graphs with vertices labelled 1,…,n,
characterized by the property that if there is an edge {i,j} with i<j,
then all the {i′,j′} with i≤i′<j′≤j are also edges of G.
The number of such graphs is the Catalan number cn. These are the
incomparability graphs of certain posets P, known as unit interval orders [24].
Let V(G) and E(G) denote respectively the sets of vertices and edges of G.
A coloring of G is a map c: V(G)→N∗, which can be
identified with a word c1c2⋯cn.
A coloring is proper if ci=cj whenever {i,j}∈E(G). We denote by
C(G) the set of proper colorings of G.
The chromatic quasi-symmetric function of G expands in the M basis of
QSym as [24]
[TABLE]
where PC(G) denotes the set of proper packed colorings, ascG(c) is the
number of edges {i<j} such that ci<cj, and ev(c) is the evaluation (or content)
of c, that is, the composition recording the number of occurences of each value of c.
It can be shown that for the above graphs, XG(t) is actually a symmetric
function [24].
On another hand, LLT polynomials are t-analogues of products of skew Schur
functions [19, 14].
By interpreting s1 as sλ/μ in various ways, one may obtain
different t-analogues of the characteristic s1n of the regular
representation of Sn.
These can be parametrized by the same graphs as above, and their expression
given by the dinv statistic of Haglund, Haiman and Loehr [14] can be
rephrased as
[TABLE]
where u runs now over all packed words of length n, regarded as
colorings of G.
Therefore, Equation (1) tells us that the transformation (t−1)X
just eliminates the improper colorings, a fact which is far from obvious. A
“pedestrian” proof can be found in the appendix of [13].
The aim of this note is to provide a conceptual explanation (and a
generalization) in terms of combinatorial Hopf algebras.
2. Word quasi-symmetric functions
Let A={a1<a2<…} be a totally ordered alphabet.
The packed word u=pack(w) associated with a word w∈A∗ is
a word over the alphabet of positive integers,
obtained by the following process. If b1<b2<…<br are the letters
occuring in w, u is the image of w by the homomorphism
bi↦i.
A word of positive integers u is said to be packed if pack(u)=u. We denote by PW the
set of packed words.
With such a word, we associate the “polynomial”
[TABLE]
For example, with A={1<2<3<4<5},
[TABLE]
The evaluation ev(w) of a word w is the sequence whose i-th
term ∣w∣ai is the number of times the letter ai occurs in w,
regarded as a finite integer vector by removing the trailing zeros.
Let K be a field of characteristic [math], assumed to contain all formal
series in the formal parameter t used in the sequel.
Under the abelianization χ: K⟨A⟩→K[X], the
Mu are mapped to the monomial quasi-symmetric functions
[TABLE]
where I=(∣u∣a)a∈A=(i1,…,ir) is the evaluation vector of u.
The Mu span a subalgebra of K⟨A⟩, called WQSym
for Word Quasi-Symmetric functions, consisting of the invariants of the
noncommutative version of Hivert’s quasi-symmetrizing action [5],
which is defined by σ⋅w=w′ where w′ is such that
std(w′)=std(w) and χ(w′)=σ⋅χ(w), where std stands for
the usual standardization algorithm, namely the algorithm that sends any word
to the permutation having the same inversions.
Hence, two words are in the same S(A)-orbit iff they have the same packed
word.
When A is infinite, K⟨A⟩ is interpreted as the algebra of formal
series of bounded degree. Exactly as in the case of symmetric or
quasi-symmetric functions, WQSym acquires then the structure of a Hopf
algebra, with the natural coproduct given by the ordinal sum of mutually
commuting alphabets.
The coproduct A+B is indeed well-defined on WQSym and allows to consider
its graded dual WQSym∗.
We shall denote by Nu∈WQSym∗ the dual basis of Mu.
The algebra FQSym (Free Quasi-symmetric functions) may be defined as
the subalgebra of K⟨A⟩ spanned by the
[TABLE]
where σ runs over all permutations.
It is also a Hopf algebra for the same coproduct. It is self-dual, and the
dual basis Fσ=Gσ∗ can be identified with Gσ−1.
It is isomorphic to the Malvenuto-Reutenauer Hopf algebra [21, 4].
There is therefore an inclusion of Hopf algebras
ι: FQSym↪WQSym given by
[TABLE]
whose dual is the projection ι∗: WQSym∗↠FQSym
[TABLE]
Let AB be the alphabet {ab∣a∈A, b∈B} endowed with the
lexicographic order on the pairs (a,b).
It is easy to check that the coproduct δ: f↦f(AB) is also
well-defined: packing with respect to the lexicographic order makes sense, and
[TABLE]
where (vu) denotes the word in biletters (viui),
lexicographically ordered with priority to the top letter.
The dual of the coproduct AB is an internal product
on each homogeneous component WQSymn∗ given by
[TABLE]
In this way, WQSymn∗ gets identified with the Solomon-Tits
algebra of Sn [22] for all n.
There is also a Hopf embedding of Sym (Noncommutative symmetric functions)
into WQSym∗ given by Sn↦S^n:=N1n:
[TABLE]
For example, S^21=N112+N121+N211.
Under the projection ι∗,
[TABLE]
where Des(σ) denotes the descent set of σ, and Des(I) the set
encoded by the composition I.
This projection is compatible with the internal products: on Sym, the
internal product is defined as dual to the coproduct XY of QSym
[11, 21].
By definition, it maps f(AB) to f(XY).
On FQSym, the internal product on the F-basis is ordinary composition:
Fσ∗Fτ=Fσ∘τ, so that on the G-basis,
Gσ∗Gτ=Gτ∘σ.
Now, although the ∗ product of WQSym∗ does not coincide with composition
on permutations, we have the following compatibility.
Lemma 2.1**.**
Define a right action of Sn on WQSymn∗ by
[TABLE]
Then, for any I⊨n
[TABLE]
*Proof – *If S^I contains Nv, it contains Nvτ for all
permutations τ, and
[TABLE]
For example, with u=111122, v=212211, τ=451623,
we have uτ=121211, vτ−1=211212,
pack(212211121211)=232411,
pack(211212111122)=211234,
and 211234τ=232411.
This implies that (f⋅σ)∗g=(f∗g)⋅σ for all
f∈WQSymn∗,g∈Symn and σ∈Sn.
Remark 2.2**.**
A similar argument actually proves the existence of the descent algebra.
If σ=std(v),
[TABLE]
This implies in particular that in FQSym,
[TABLE]
where Mat(I,J) denotes the set of nonnegative integer matrices with
row-sums vector I and column-sums vector J (cf. [10]).
Hence, the SI=∑Des(σ−1)⊆Des(I)Fσ span a sub ∗-algebra of
FQSym isomorphic to (Sym,∗), which is therefore anti-isomorphic to the
Solomon descent algebra.
**
3. Transformations of alphabets
3.1. Transformations in QSym
Recall that the classical Cauchy identities for symmetric functions can be
extended to the dual pair of Hopf algebras (QSym,Sym) as follows. Let X
be a totally ordered alphabet of commutative variables, and A be an alphabet
of noncommuting variables, also totally ordered.
The product alphabet XA is the set of products xa endowed with the
lexicographic order on the pairs (x,a). We can thus define the
noncommutative symmetric functions of XA and we have
[TABLE]
for any pair (U,V) of mutually dual bases [10] (the arrows mean that
the products are to be taken in increasing order).
We can introduce a second commutative alphabet T, and compute in two ways
[TABLE]
The alphabet T denoted by 1−t1 is {tn∣n≥0}, ordered by
ti<tj iff i>j (which would be true for numerical values of t such that
the geometric series converge). We introduce the notations
[TABLE]
The maps
[TABLE]
are algebra automorphisms, and their inverses are consistently denoted by
[TABLE]
Here, (1−t) is an example of a virtual alphabet.
More generally, a virtual alphabet T is defined as a morphism of algebras
χT
[TABLE]
from QSym to some commutative algebra. This defines the TA transform in
Sym by
[TABLE]
and by duality, the XT transform on QSym
[TABLE]
where
[TABLE]
The (t−1) transform is defined by writing t−1=t(1−t−1) so that
MI(X(t−1))=t∣I∣MI(X(1−t−1)).
We note for further reference the specializations
[TABLE]
3.2. Transformations in WQSym
The 1/(1−t) transform may be extended from QSym to WQSym by setting
[TABLE]
endowed with the total order aitj<aktl⇔i<k or i=k and
j>l.
Then, the commutative image of Mu(∣1−tA∣) is
MI(∣1−tX∣), where I=ev(u).
The inverse transformations are consistently denoted by
Mu↦Mu(A(1−t)) on WQSym and
SI↦SI((1−t)A) on Sym.
These have been investigated in [23, 18].
The adjoint map of Mu↦Mu(A(1−t)) is
Nu↦Nu∗σ1((1−t)A), and similarly for the inverse maps.
Although there is no known polynomial realization of WQSym∗, it will be
convenient to define Nu(TA) as
[TABLE]
Let
[TABLE]
Proposition 3.1**.**
Let u and w be two packed words of the same size.
Let w(i)=pack(wj1wj2⋯wjp),
where {j1,…,jp}={j∣uj=i}.
Then,
[TABLE]
*Proof – *Since the packing process commutes with the right action of the symmetric
group (see (16)), we can apply to u the smallest permutation
σ such that uσ is nondecreasing (i.e., σ=std(u)−1),
so that pack(vσuσ)=wσ. We can therefore assume
that u is nondecreasing.
First note that no relation is required between the letters of v
corresponding to different letters of u. The only order constraints are
among places where u has identical letters, and these are the same as in the
corresponding letters of w. This is precisely the definition of the
convolution on packed words, describing the product of the M
basis [22].
Thus,
[TABLE]
and by duality,
[TABLE]
The morphism χT defining a virtual alphabet is naturally extended to
WQSym by setting Mu(T)=MI(T), where I=ev(u).
A packed word v is said to refine u if for all i<j,
vi>vj⟺ui≥uj
and vi=vj⟹ui=uj.
In this case, we write v⩾refu.
This is the usual notion of refinement on set compositions: each block of u
is a union of consecutive blocks of v.
For example, the packed words finer than 212 are 212, 213, and 312.
The packed words finer than 2122 are
[TABLE]
Lemma 3.2**.**
The coefficient of Mv(A) in (44) is 0 if u is not
finer than v, and equal to the coefficient of Mev(u)(X) in
Mev(v)(XT) otherwise.
*Proof – *By definition, the words u(i) exist only when u is finer than v,
and then, Mw(1)Mw(2)⋯Mw(max(u)))(T)
is equal to MI1(T)⋯MIs(T), where I=ev(v), J=ev(u)
and Ik⊨jk for all k.
4. Dyck graphs
Definition 4.1**.**
A Dyck graph is a simple undirected graph G with vertex set V(G)=[n]
and edge set E(G) represented as pairs (i<j) such that if (i,j)∈E(G),
then (i′,j′)∈E(G) for all i≤i′<j′≤j.
Define for σ∈Sn
[TABLE]
We shall make use of descent bottoms of a permutation associated with
a graph, that are the values σi+1 such that
σi>σi+1 and (σi+1,σi)∈E(G).
For example, if G is the graph
[TABLE]
(labelled 1–5 from left to right), and σ=35142, then
invG(σ)={(2,3),(4,5)}, DesG(σ)={2,4}, majG(σ)=6
and the descent bottoms of σ are {1,2}.
Set stG(σ)=invG(σ)+majG(σ) [24, 17].
Recall the notation [n]t=1+t+⋯tn−1.
Theorem 4.2**.**
Let G be a Dyck graph. For any σ∈Sn−1,
[TABLE]
where H is the restriction of G to the interval [1,n−1] and σ\vbox \vrule\vruleheight=6.0pt,width=0.0pt\hrule\vbox \vrule\vruleheight=6.0pt,width=0.0pt\vrule\hrulen means
the set of all words τ such that the restriction of τ to [1,n−1]
gives back σ.
Corollary 4.3**.**
Let σ∣[1,k] denote the restriction of σ to the interval [1,k].
The map
[TABLE]
is a bijection from Sn to the set of integer vectors v∈Nn
such that vi≤n−i.
Thus, c is a code which interpolates between the Lehmer code (complete graph)
and the majcode (no edges).
In particular, we recover a particular case of a result of
Kasraoui [17]:
Corollary 4.4**.**
For any Dyck graph G, the statistic stG is Mahonian:
[TABLE]
The previous theorem is a direct consequence of the following lemma.
Lemma 4.5**.**
Consider the permutations τ obtained from σ by inserting n at
each of the n possible positions.
Then, stG(τ)−stH(σ) takes all the values from [math] to n−1 in
this order if one visits the insertion positions in the following order:
start with the rightmost position, then, from right to left, insert n to the
left of the values k such that (k,n)∈E or that are descent bottoms of
σ, then from left to right, run through the remaining ones.
*Proof – *First note that (51) implies that stG is Mahonian by induction
on n.
Let us now prove it.
Let H be the restriction of G to [n−1].
There are four cases to be distinguished according to whether τ is
obtained by inserting n:
- (1)
at the end of σ: then stG(τ)=stH(σ).
2. (2)
to the left of a k such that (k,n)∈E(G). Then, (k,k′)∈E(G)
for all k<k′<n, so that k cannot be a descent bottom of σ.
Thus,
[TABLE]
where dH(k) is the number of H-descent bottoms of σ to the
right of n (since each descent is shifted by one position to the right),
and eG(k) is the number of k′ to the right of n such that
(k′,n)∈E(G) (since all these values have an inversion with n).
3. (3)
to the left of an H-descent bottom k. Then, the letter ℓ
preceding k in σ is such that (k,ℓ)∈E(G), so that
(l,k)∈E(G).
Therefore, inserting n between ℓ and k creates a descent (n,k) in
τ which takes the place of the descent (k,i) in σ just one
position to the right.
Thus,
[TABLE]
as in the previous case. Here, the +1 due to moving the descent bottom k
one place to the right is taken into account in dH(k).
4. (4)
to the left of a k such that (k,n)∈E(G) and k is not an
H-descent bottom.
Then (n,k) is a new descent and
[TABLE]
Let us now consider the sequence of insertions described in
Lemma 4.5.
In the first part of the sequence going from right to left, one easily sees
that the values of dH(k)+eG(k) increase by one at each step since we stop
at each element either creating an inversion with n or being a descent
bottom.
In the second part moving from left to right, the same property holds: at
each step, the value of σk−1+dH(k)+eG(k) increases by one since,
between two elements, σk−1 changes by one plus the number of values
between these that are either descent bottoms or related with n in G,
which is compensated by the fact that dH and eG decrease respectively on
descent bottoms or values connected to n in G.
Finally, it is easily checked that both ways of evaluating the increment of
stH corrresponding to the leftmost insertion position do agree, whence the
claim.
Note 4.6**.**
This argument is similar to the one used for the maj-code
(see, e.g., [16]). In particular, the definition of the sequence going
backward then forward to visit each possible insertion position of n is
essentially the same: one just has to add a special case when (k,n)∈E(G).
**
Note 4.7**.**
The statistic sG(σ) interpolates in a Catalan number of ways between
the inversions number (G is the complete graph) and the major index (G is
the graph with no edges).
**
Example 4.8**.**
Consider the graph
on V(G)=[6] with E(G)={12,23,24,34,45,46,56}
and the permutation σ=52314.
Then 4 and 5 belong to case (2), 1 and 2 belong to case (3), and 3
belongs to case (4). Then the order is 45325321140, where the
exponents encode the sequence.
**
Proposition 4.9**.**
For a Dyck graph,
[TABLE]
*Proof – *According to [24, Theorem 9.3], the principal specialization of XG
satisfies
[TABLE]
where (q;q)n=(1−q)(1−q2\textdegree⋯(1−qn).
For q=t, XG being symmetric, this yields
[TABLE]
where the first equality comes from the fact that for a symmetric function f homogeneous
of degree n, f(−X)=(−1)nωf(X).
Dividing by [n]t!, we are left with
[TABLE]
5. The Guay-Paquet Hopf algebra
In his proof of the Shareshian-Wachs conjecture [12], Guay-Paquet
introduces a Hopf algebra G based on ordered graphs, depending on a
parameter t, and such that the map sending a graph to itsromatic quasi-symmetric
function is a morphism of Hopf algebras G→QSym.
Its basis consists of finite simple undirected graphs with vertices labelled
by the integers from 1 to n=∣V(G)∣. The product is the shifted concatenation:
G⋅H=G∪H[n] where H[n] is H with labels shifted by the number
n of vertices of G.
The parameter t arises in the coproduct. If G is a graph on n vertices
and w∈[r]n, regarded as a coloring of G, we denote by G∣w the tensor
product G1⊗⋯⊗Gr of the restrictions of G to vertices
colored 1,2,…,r. The r-fold coproduct is then
[TABLE]
At t=1, G becomes cocommutative and is isomorphic to an algebra
introduced in [25].
It is also proved in [12] that the subspace D of G spanned by
Dyck graphs is a Hopf subalgebra. At t=1, it is a free cocommutative graded
connected Hopf algebra of graded dimension Catalan, and is therefore
isomorphic to CQSym [15].
From these properties, we obtain a simple conceptual proof
of (1):
Proposition 5.1**.**
[TABLE]
*Proof – *If G is a Dyck graph and u a packed word, denote by Gi(u) the
restriction of G to the vertices j such that uj=i.
Then the coefficient of MI(X) in XG(t,∣t−1X∣) is
[TABLE]
Dualizing the product SI=Si1⋯Sir, this is equal to
[TABLE]
and since G↦XG is a morphism of Hopf algebras, the iterated coproduct
can be evaluated by (57), which yields
[TABLE]
by Prop. 4.9.
Thanks to Lemma 3.2, this argument can be extended to the
noncommutative case.
6. The noncommutative chromatic quasi-symmetric function
6.1. A noncommutative analogue of XG
Given a Dyck graph G, define
[TABLE]
For example,
[TABLE]
[TABLE]
[TABLE]
[TABLE]
[TABLE]
[TABLE]
[TABLE]
[TABLE]
Proposition 6.1**.**
G↦XG(A)* is a morphism of Hopf algebras from G to WQSym.*
*Proof – *The argument is essentially the same as for QSym.
Multiplicativity is clear:
[TABLE]
Next, the coefficient of Mu1⊗Mu2 in
ΔXG is nonzero if and only if u1∈PC(G1) and
u2∈PC(G2) for some splitting of the vertices of G into two
complementary subsets, detemined by a word w∈{1,2}n as in (57).
Each such splitting determines a proper coloring u of G: color the
vertices of G1 with u1 and those of G2 with the shifted word
u2[max(u1)] (recall that the shifted word u[k] is obtained by adding
k to all values of u). Thus, u1 and u2 are the restrictions of u
to two consecutive intervals, so that Mu1⊗Mu2 occurs in
ΔMu. In particular, note that u belongs to the shifted shuffle of
u1 and u2.
Conversely, any u∈PC(G) and any term Mu1⊗Mu2 occuring
in ΔMu uniquely determines a splitting of V(G) into two
complementary subsets: the vertices of G1 correspond to the positions of
the letters of the subword u1 of u. This proves that at t=1,
X is indeed a morphism of coalgebras.
Now, in the above situation, we have
[TABLE]
where r is the number of edges (i<j) of G with ui<uj which are neither in G1
nor in G2. These correspond precisely to the G-ascents of the word
w∈{1,2}n determining the splitting.
From the product rule of the M basis of WQSym, one can easily
check that
[TABLE]
and that
[TABLE]
For the coproduct, one can check the following example:
[TABLE]
This example also allows to check that the restriction of the coproduct to the
subalgebra of Dyck graphs is cocommutative.
6.2. Noncommutative unicellular LLT polynomials
Theorem 6.2**.**
[TABLE]
The r.h.s. is therefore a noncommutative lift of the LLT polynomial LLTG.
*Proof – *The coefficient of Mv in XG(t,∣t−1A∣) is
[TABLE]
Up to a power of t, the sum in the right-hand side of the bracket is the
product of the quasi-symmetric chromatic polynomials of the graphs Gi(v)
evaluated at ∣t−1X∣. The power of t corresponds to the
G-ascents of v on the deleted edges, that is
[TABLE]
Definition 6.3**.**
Given a Dyck graph G,
the non-commutative LLT polynomial LLTG is
[TABLE]
Note 6.4**.**
Alternatively, the r.h.s of (79) can be interpreted as a duality
bracket for the pair (WQSym∗,WQSym):
[TABLE]
and evaluating the iterated coproducts ΔrMu leads to the same
conclusion.
**
6.3. Special case: path graphs
Let Gn be the graph on [n] with edges (i,i+1). Then,
[TABLE]
If we embed Sym in WQSym by sending Sn to the sum of nonincreasing
words
[TABLE]
we can write
[TABLE]
so that
[TABLE]
which gives back by commutative image the generating series of [24, C.2].
The images of Sn and Λn by the A↦A(t−1) transform are
given by
[TABLE]
and its inverse (λ−t:=(σt)−1)
[TABLE]
Hence,
[TABLE]
At t=1, this gives back the well-known fact that the sum of all Smirnov
words is the inverse of the alternating sum of constant words.
7. The Dyck graphs subalgebra of WQSym
The goal of this section is to prove
Theorem 7.1**.**
The restriction of the morphism of Hopf algebras G↦XG(t,A) from
G to WQSym to the subalgebra D of Dyck graphs is injective.
We shall prove that the images of the Dyck graphs are already linearly
independent for t=1.
7.1. The Hopf algebra WSym
The XG(1,A) are the noncommutative chromatic polynomials defined by
Gebhard [8, 9], and thus belong to the algebra of symmetric
functions in noncommuting variables ai, denoted here by WSym.
It consists of the invariants of S(A) acting by automorphisms
on the free algebra K⟨A⟩.
Two words u=u1⋯un and v=v1⋯vn are in the same orbit
whenever ui=uj⇔vi=vj. Thus, orbits are parametrized by
set partitions into at most ∣A∣ blocks. Assuming that A is infinite, we
obtain an algebra based on all set partitions whose monomial basis is defined
by
[TABLE]
where Oπ is the set of words such that wi=wj iff i and j are
in the same block of π.
As an example of expansion of a chromatic polynomial in terms of the m, we
have
[TABLE]
The product of the m is given by the rule
[TABLE]
where E(π′,π′′) consists of all set partitions whose parts are either a
part of π′, a part of π′′, or a union of a part of π′ and a part
of π′′.
Since set partitions are equivalence classes of set compositions which are in
bijection with packed words, we shall often denote a set partition as the
lexicographically minimal packed word in its class, which amounts
to representing a set partition by the set composition obtained by ordering
its blocks w.r.t. their minima. For example, {{1,4}{2,5},{3}}
will be represented by 12312.
Let us illustrate this notation on two examples of the product:
[TABLE]
and
[TABLE]
7.2. The chromatic polynomials
To prove the linear independence of the images of the Dyck graphs, we shall
show that they are triangular with respect to a basis of a subalgebra of
WSym based on nonnesting partitions.
Define the denesting dn(π) of a set partition π as the
nonnesting partition π′ obtained by iterating the following process: for
each sequence i<j<k<l such that j and k are in a block B1 of π
and i and l in another block B2 containing no intermediate value i<r<l,
i.e., B2={m1<⋯<mp=i<mp+1=l<⋯mr},
split B2 into B2′={m1,…,i} and B2′′={l,…<mr}.
Up to n=3, all set partitions are fixed by the denesting algorithm and there
is only one set partition π of size 4 such that dn(π)=π. In
terms of set partitions, it is {{1,4},{2,3}} and
dn(π)={{1},{2,3},{4}}.
In terms of packed words, it is 1221 and dn(1221)=1223.
If π=12341312, then dn(π)=12341356.
Proposition 7.2**.**
For a nonnesting partition π, define
[TABLE]
Then, the m~π form the basis of a subalgebra of WSym of homogeneous
dimensions given by the Catalan numbers.
For example,
[TABLE]
[TABLE]
[TABLE]
[TABLE]
*Proof – *Since the product of the m-basis is multiplicity-free, we just have to
check that for any partition π′, mπ′ occurs in
m~π1m~π2 if and only if mdn(π′) occurs in this
product.
If π1⊢[n1] and π2⊢[n2], then
mπ′ occurs in m~π1m~π2 if and only
if dn(π′∣[1,n1])=π1 and dn(π′∣[n1,n1+n2])=π2.
Since the denesting process is obviously compatible with restriction to
intervals, this is equivalent to dn(π′)∣[1,n1]=π1 and
dn(π′)∣[n1,n1+n2]=π2, which is the condition for
mdn(π′) to occur in m~π1m~π2.
Lemma 7.3**.**
For a Dyck graph G,
[TABLE]
where the sum runs over nonnesting partitions, and π(i) denotes the block containing i.
*Proof – *If mπ′ occurs in XG, then so does m~dn(π′), since
dn(π′) is finer than π′, so is associated with proper colorings as
well.
Conversely, if mπ′ does not occur in XG, there exist i,j with
∣j−i∣ minimal such that (i,j)∈E(G) and i,j in the same block of
π′. By minimality of ∣j−i∣, i and j are consecutive in their block.
Moreover, (i,j)∈E(G) implies that (i′,j′)∈E(G) for all i<i′<j′<j.
Still by minimality of ∣j−i∣, i+1,…,j−1 are all in different blocks.
Hence, i and j would not be separated by the denesting process, so that
mdn(π′) does not occur in XG either.
There is a simple bijection η between nonnesting partitions π
(represented as diagrams of arcs) and Young diagrams λ contained in
the staircase partition (n−1,…,2,1),
represented as sets of cells above the diagonal in an n×n square:
the arcs of π are the
coordinates of the corners of λ.
For example, the partition λ=(221) corresponds to the nonnesting
partition i{1,3},{2,4},{5}} which is read on the coordinates of the corners of the diagram.
The edges of corresponding graph G are the coordinates of the empty cells above the diagonal,
(1,2),(2,3),(3,4),(3,5),(4,5).
[TABLE]
Thanks to that bijection, there is a natural partial order on nonnesting
partitions: the Young lattice restricted to partitions contained in the
staircase. We shall say that π′≤π if the image of π′ is included
in the image of π.
Lemma 7.4**.**
Given a Dyck graph G,
[TABLE]
where the sum runs over nonnesting partitions smaller than the nonnesting
partition πG corresponding to the Young diagram encoding G.
*Proof – *Let λ=η(πG).
Let π′ be a nonnesting set partition. If η(π′)⊆λ
then, thanks to the bijection between partitions and Dyck graphs, for all
(i,j)∈E(G), all pairs (i′,j′) such that i≤i′<j′≤j are also
edges of G, so that i′ and j′ can never be in the same part of π,
hence of π′. So thanks to the previous lemma, m~π′ appears in the
expansion of XG.
Conversely, if η(π′)⊆λ, then there exists a corner
(i,j) of η(π′) that does not belong to λ.
Then (i,j) is an edge of G since it is an empty cell in λ but i
and j are in the same block of π′ since they are consecutive by
definition. So m~π′ does not appear in the expansion of XG.
For example,
[TABLE]
[TABLE]
[TABLE]
[TABLE]
[TABLE]
[TABLE]
[TABLE]
[TABLE]
8. A multiplicative basis
Recall that the reverse refinement order, denoted by ≤, on
compositions is such that I=(i1,…,ik)≥J=(j1,…,jl) iff
{i1,i1+i2,…,i1+⋯+ik} contains
{j1,j1+j2,…,j1+⋯+jl}.
In this case, we say that I is finer than J.
For example, (2,1,2,3,1,2)≥(3,2,6).
This order can be extended to packed words as follows.
To avoid confusion with the order of packed words defined previously,
we say that w is strongly finer than w′, and write w≥w′, iff
w and w′ have same standardized word and the evaluation of w is finer
than the evaluation of w′. It also amounts to asking that w and w′ have
same standardized word and that w⩾refw′.
For example, the packed words strongly finer than 212 are 212 and 213.
The packed words strongly finer than 2122 are
[TABLE]
to be compared with the packed words finer that 2122 shown
in (45).
Given a permutation, let us define the set A(σ) of the advances
of σ as the set of values i such that i+1 is to the right of i in
σ. Note that it is the complementary set over [1,n−1] of the usual
recoils. Let DST(σ) be the set of packed words of standardization
σ.
Lemma 8.1**.**
Let σ be a permutation. Then the elements of DST(σ)
are in bijection with the subsets of A(σ).
In particular, this set of words has a natural structure of boolean lattice.
*Proof – *Let i be an element of A(σ) and let j<k be the respective
positions of i and i+1 in σ.
Then in any element w of DST(σ), either uj=uk or
uk=uj+1. Since there are two independent choices for all elements of
A(σ), the result holds.
The inverse map going from
DST(σ) to subsets of A(σ) is given by the rule:
put i in its corresponding subset of A(σ) if uk=uj+1.
Corollary 8.2**.**
Let w be a word. Then the elements strongly coarser than w are an interval
of the boolean order of DST(w) described in Lemma 8.1, hence
themselves a boolean order consisting of the subsets of A(std(w)) that,
following the notations of the previous lemma, necessarily contains the
elements i such that wj=wk.
The boolean order of the packed words of standardized 13425 is given in
Figure 1.
Let [22, 2]
[TABLE]
For example,
[TABLE]
[TABLE]
Since (Φu) is triangular over (Mu), it is a basis of WQSym. Note
that the order used for summation is a restriction of the refinement order on
compositions, so is a boolean lattice.
Hence,
[TABLE]
For example,
[TABLE]
By construction, the basis Φ satisfies a product formula similar to
that of Gessel’s basis FI of QSym (whence the choice of notation).
We shall not state it since we will not need it in the sequel but here follows
an example illustrating the similarity with Gessel’s basis.
[TABLE]
Proposition 8.3**.**
The noncommutative t-chromatic function is Φ-positive:
[TABLE]
where minG(σ) is the packed word u defined as follows: let
[TABLE]
Then,
[TABLE]
All non trivial examples (excluding the case of the complete graph where S
is always empty) of size 3 are given below.
First, here are all sets S and then all packed words minG(σ).
[TABLE]
[TABLE]
We then deduce
[TABLE]
[TABLE]
[TABLE]
[TABLE]
[TABLE]
[TABLE]
[TABLE]
[TABLE]
*Proof – *Since Φw expanded in the M basis is a sum over elements of
DST(std(w)), we have to show two things:
first, the monomials in t that are coefficients of the M are constant
among elements of DST(std(w)) and among the elements of DST(std(w)),
the elements appearing in XG expanded in the M basis are exactly the
elements finer than minG(σ).
Concerning the coefficients (monomials in t) of these elements, if w
appears with a coefficient ti then this is also the coefficient of
std(w) and more generally of any element strongly finer than w. Indeed,
the power of t counts the ascents among the pairs of edges of G and
that does not change from w to w′≥w if w appears in XG.
This comes from the fact that all ascents of w are ascents of w′ and that
the only positions (i,j) that could add an ascent from w to w′ are
those such that wi′>wj′ and wi=wj, but in that case (i,j) cannot
be an edge of G since w is a proper coloring of G, and hence cannot count
as an ascent of w′.
Let us now show that the packed words with standardized σ
appearing in XG are the elements finer than minG(σ).
Recall that thanks to Lemma 8.1, all words having a given
standardized σ form a boolean lattice when equipped with the strong
refinement order, and that any element corresponds to a subset of the set of
values i such that i−1 is to the left of i in σ (or, equivalently
σi−1−1<σi−1).
Since we are looking for the packed words that are proper colorings of G, it
is pretty clear that the subsets containing an i such that
(σi−1−1,σi−1)∈E(G) cannot bring proper colorings
since two connected vertices would have the same color. Conversely, excluding
those values necessarily brings a proper coloring.
So all packed words appearing in the expansion of XG in the M basis
with a given standardized word σ are strongly finer than
minG(σ) and have all same coefficient, whence the statement.
Corollary 8.4** ([24], Thm 3.1).**
The chromatic quasi-symmetric function of a Dyck graph is F-positive
and its expansion is
[TABLE]
where invG(σ) is the pairs (i<j) such that
(σi,σj)∈E(G) and σi>σj,
and DESP(σ) is the composition encoding the set of i such that
(σi,σi+1)∈E(G) and σi>σi+1,
and where ~ denotes the conjugate composition.
*Proof – *Our formula in WQSym is projected to this expression by the morphism
sending Φw to Fev(w): the contribution of σ in our
equation is the contribution of σ′=inv(r(σ)) in their equation,
where r(σ) sends each value i to n+1−i if σ∈Sn.
Indeed, our ascents of a permutation go to the inversions of [24] through
inv∘r since r changes ascents to inversions and
inv exchanges values and positions. Moreover, two values i and i+1 of
σ are equal in minG(σ) (hence are not a descent of the
composition ev(minG(σ))) iff they are increasing and their positions
do not correspond to an edge of G. Since σ′ can also be described as
σ′=inv(σ), where wˉ denotes the mirror-image of
w, this exactly translates in σ′ as the values in positions
n−i, n+1−i that decrease and do not form an edge of G, which is exactly
the definition of the conjugate of DESP(σ′).
For example, the graph G=\leavevmodeto76.25pt\vboxto13.86pt\pgfpicture\makeatletter\lower-2.55693ptto0.0pt\pgfsys@beginscope\pgfsys@invoke \definecolorpgfstrokecolorrgb0,0,0\pgfsys@color@rgb@stroke000\pgfsys@invoke \pgfsys@color@rgb@fill000\pgfsys@invoke \pgfsys@setlinewidth0.4pt\pgfsys@invoke \nullfontto0.0pt\pgfsys@beginscope\pgfsys@invoke \pgfsys@beginscope\pgfsys@invoke \pgfsys@beginscope\pgfsys@invoke \definecolor[named]pgffillcolorrgb1,1,1\pgfsys@color@gray@fill1\pgfsys@invoke \pgfsys@beginscope\pgfsys@invoke \definecolor[named]pgffillcolorrgb1,1,1\pgfsys@color@gray@fill1\pgfsys@invoke \pgfsys@moveto2.35693pt0.0pt\pgfsys@curveto2.35693pt1.30171pt1.30171pt2.35693pt0.0pt2.35693pt\pgfsys@curveto-1.30171pt2.35693pt-2.35693pt1.30171pt-2.35693pt0.0pt\pgfsys@curveto-2.35693pt-1.30171pt-1.30171pt-2.35693pt0.0pt-2.35693pt\pgfsys@curveto1.30171pt-2.35693pt2.35693pt-1.30171pt2.35693pt0.0pt\pgfsys@closepath\pgfsys@moveto0.0pt0.0pt\pgfsys@fillstroke\pgfsys@invoke 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\pgfsys@invoke\lxSVG@closescope\pgfsys@endscope\pgfsys@beginscope\pgfsys@invoke \pgfsys@transformcm0.50.00.00.514.22638pt0.0pt\pgfsys@invoke \definecolorpgfstrokecolorrgb0,0,0\pgfsys@color@rgb@stroke000\pgfsys@invoke \pgfsys@color@rgb@fill000\pgfsys@invoke \pgfsys@invoke\lxSVG@closescope\pgfsys@endscope \pgfsys@invoke\lxSVG@closescope\pgfsys@endscope \pgfsys@beginscope\pgfsys@invoke \definecolor[named]pgffillcolorrgb1,1,1\pgfsys@color@gray@fill1\pgfsys@invoke \pgfsys@beginscope\pgfsys@invoke \definecolor[named]pgffillcolorrgb1,1,1\pgfsys@color@gray@fill1\pgfsys@invoke \pgfsys@moveto30.8097pt0.0pt\pgfsys@curveto30.8097pt1.30171pt29.75447pt2.35693pt28.45276pt2.35693pt\pgfsys@curveto27.15105pt2.35693pt26.09583pt1.30171pt26.09583pt0.0pt\pgfsys@curveto26.09583pt-1.30171pt27.15105pt-2.35693pt28.45276pt-2.35693pt\pgfsys@curveto29.75447pt-2.35693pt30.8097pt-1.30171pt30.8097pt0.0pt\pgfsys@closepath\pgfsys@moveto28.45276pt0.0pt\pgfsys@fillstroke\pgfsys@invoke 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\pgfsys@invoke\lxSVG@closescope\pgfsys@endscope\pgfsys@beginscope\pgfsys@invoke \pgfsys@transformcm0.50.00.00.542.67914pt0.0pt\pgfsys@invoke \definecolorpgfstrokecolorrgb0,0,0\pgfsys@color@rgb@stroke000\pgfsys@invoke \pgfsys@color@rgb@fill000\pgfsys@invoke \pgfsys@invoke\lxSVG@closescope\pgfsys@endscope \pgfsys@invoke\lxSVG@closescope\pgfsys@endscope \pgfsys@beginscope\pgfsys@invoke \definecolor[named]pgffillcolorrgb1,1,1\pgfsys@color@gray@fill1\pgfsys@invoke \pgfsys@beginscope\pgfsys@invoke \definecolor[named]pgffillcolorrgb1,1,1\pgfsys@color@gray@fill1\pgfsys@invoke \pgfsys@moveto59.26245pt0.0pt\pgfsys@curveto59.26245pt1.30171pt58.20723pt2.35693pt56.90552pt2.35693pt\pgfsys@curveto55.6038pt2.35693pt54.54858pt1.30171pt54.54858pt0.0pt\pgfsys@curveto54.54858pt-1.30171pt55.6038pt-2.35693pt56.90552pt-2.35693pt\pgfsys@curveto58.20723pt-2.35693pt59.26245pt-1.30171pt59.26245pt0.0pt\pgfsys@closepath\pgfsys@moveto56.90552pt0.0pt\pgfsys@fillstroke\pgfsys@invoke 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\pgfsys@moveto16.6833pt0.0pt\pgfsys@lineto25.99583pt0.0pt\pgfsys@stroke\pgfsys@invoke \pgfsys@invoke\lxSVG@closescope\pgfsys@endscope\pgfsys@invoke\lxSVG@closescope\pgfsys@endscope \pgfsys@beginscope\pgfsys@invoke \pgfsys@beginscope\pgfsys@invoke \definecolor[named]pgfstrokecolorrgb0,0,0\pgfsys@color@gray@stroke0\pgfsys@invoke \pgfsys@setlinewidth0.8pt\pgfsys@invoke \pgfsys@moveto30.90968pt0.0pt\pgfsys@lineto40.22221pt0.0pt\pgfsys@stroke\pgfsys@invoke \pgfsys@invoke\lxSVG@closescope\pgfsys@endscope\pgfsys@invoke\lxSVG@closescope\pgfsys@endscope \pgfsys@beginscope\pgfsys@invoke \pgfsys@beginscope\pgfsys@invoke \definecolor[named]pgfstrokecolorrgb0,0,0\pgfsys@color@gray@stroke0\pgfsys@invoke \pgfsys@setlinewidth0.8pt\pgfsys@invoke \pgfsys@moveto45.13606pt0.0pt\pgfsys@lineto54.4486pt0.0pt\pgfsys@stroke\pgfsys@invoke \pgfsys@invoke\lxSVG@closescope\pgfsys@endscope\pgfsys@invoke\lxSVG@closescope\pgfsys@endscope \pgfsys@beginscope\pgfsys@invoke \pgfsys@beginscope\pgfsys@invoke \definecolor[named]pgfstrokecolorrgb0,0,0\pgfsys@color@gray@stroke0\pgfsys@invoke \pgfsys@setlinewidth0.8pt\pgfsys@invoke \pgfsys@moveto59.36244pt0.0pt\pgfsys@lineto68.67497pt0.0pt\pgfsys@stroke\pgfsys@invoke \pgfsys@invoke\lxSVG@closescope\pgfsys@endscope\pgfsys@invoke\lxSVG@closescope\pgfsys@endscope \pgfsys@beginscope\pgfsys@invoke \pgfsys@beginscope\pgfsys@invoke \definecolor[named]pgfstrokecolorrgb0,0,0\pgfsys@color@gray@stroke0\pgfsys@invoke \pgfsys@setlinewidth0.8pt\pgfsys@invoke \pgfsys@moveto15.45483pt2.12776pt\pgfsys@curveto20.5236pt10.90717pt36.38191pt10.90717pt41.45068pt2.12776pt\pgfsys@stroke\pgfsys@invoke \pgfsys@invoke\lxSVG@closescope\pgfsys@endscope\pgfsys@invoke\lxSVG@closescope\pgfsys@endscope \pgfsys@beginscope\pgfsys@invoke \pgfsys@beginscope\pgfsys@invoke \definecolor[named]pgfstrokecolorrgb0,0,0\pgfsys@color@gray@stroke0\pgfsys@invoke \pgfsys@setlinewidth0.8pt\pgfsys@invoke \pgfsys@moveto43.9076pt2.12776pt\pgfsys@curveto48.97636pt10.90717pt64.83467pt10.90717pt69.90344pt2.12776pt\pgfsys@stroke\pgfsys@invoke \pgfsys@invoke\lxSVG@closescope\pgfsys@endscope\pgfsys@invoke\lxSVG@closescope\pgfsys@endscope \pgfsys@invoke\lxSVG@closescope\pgfsys@endscope\pgfsys@invoke\lxSVG@closescope\pgfsys@endscope\hss\pgfsys@discardpath\pgfsys@invoke\lxSVG@closescope\pgfsys@endscope\hss\lxSVG@closescope\endpgfpicture and the permutation 314652 contribute in
our case to a term t3M212321, whereas G and
(314652)−1=(453162)−1=453162 contribute in the case
of [24] as t3M231.
8.1. Noncommutative LLT polynomials
To formulate the noncommutative analogue of the F-expansion of unicellular
LLT polynomials, we need another lift of the F-basis, defined as
[TABLE]
where the bar involution sends a word to its mirror image.
Thus,
[TABLE]
and its commutative image is again
Φˇu(X)=Fev(uˉ)(X)=Fev(u)(X).
For a permutation σ and a Dyck graph G, define
[TABLE]
where Gˉ is the mirror image of G (which amounts to relabeling
the vertices by i↦n+1−i).
Here are the non-trivial examples of minG′ for n=3:
[TABLE]
With these definitions, Proposition 8.3 translates into:
Proposition 8.5**.**
The noncommutative t-chromatic polynomial is Φˇ-positive:
[TABLE]
For example,
[TABLE]
[TABLE]
[TABLE]
[TABLE]
Theorem 8.6**.**
The noncommutative unicellular LLT polynomials are Φˇ-positive:
[TABLE]
where G∅ is the graph with (n vertices, n omitted) and
no edges.
*Proof – *If Mv occurs in Φˇu, then ascG(v)=ascG(u) for any graph G.
Also, since minG∅′(σ) is vˉ where v is the minimal
element of DST(σˉ),
[TABLE]
so that
[TABLE]
For example,
[TABLE]
[TABLE]
[TABLE]
[TABLE]