The stretched Littlewood-Richardson coefficient was conjectured by King, Tollu, and Toumazet to be a polynomial function in . It was shown to be true by Derksen and Weyman using semi-invariants of quivers. Later, Rassart used Steinberg’s formula, the hive conditions, and the Kostant partition function to show a stronger result that is indeed a polynomial in variables provided they lie in certain polyhedral cones. Motivated by Rassart’s approach, we give a short alternative proof of the polynomiality of using Steinberg’s formula and a simple argument about the chamber complex of the Kostant partition function.
Keywords: Littlewood-Richardson, polynomiality, Steinberg’s formula
1. Introduction
The Littlewood-Richardson coefficients appear in many areas of
mathematics [5,8,9, 12,17].
An example comes from the study of symmetric functions. The set of Schur
functions , indexed by
partitions , is a linear
basis for the ring of symmetric functions. Thus, for any partitions
and , the product of Schur functions and can be uniquely expressed as for some real numbers , where denotes the sum of the parts of
. The coefficient of in (1) is called
the Littlewood-Richardson coefficient.
There are several ways to compute such as the
Littlewood-Richardson rule [14], the Littlewood-Richardson triangles
[10], the
Berenstein-Zelevinsky triangles [1], and the honeycombs [7]. In this paper, we employ the hive
model that was first introduced by Knutson and Tao [7]. The hive model
imposes certain inequalities that allow us to compute as the number of
integer points in a rational polytope, which we call a hive
polytope.
For fixed partitions such that , we define the stretched Littlewood-Richardson
coefficients to be the function for non-negative
integers The hive model implies
that
By Ehrhart theory (see Thoerem 2.1), is a
quasi-polynolmial in , which means is a function of
the form where each of is a periodic function in with an integral period. The function
was,
however, observed and conjectured by King, Tollu, and Toumazet [6] to be a
polynomial function in (as
opposed to a quasi-polynomial). The conjecture was then shown to be true
by Derksen-Weyman [3], and Rassart [11]. More precisely, they
proved the following theorem.
Theorem 1.1. Let be partitions with at
most part such that Then is a polynomial
in of degree at most
The proof by Derksen and Weyman [3] makes use of semi-invariants of
quivers. They proved a result on the structure of a ring of quivers and
then derived the polynomiality of as a special
case. Later, Rassart [11] proved a stronger result, which gives
Theorem 1.1 as an easy consequence, by showing that
is a
polynomial in variables provided that they lie in certain polyhedral cones of a
chamber complex. The proof by Rassart employs Steinberg’s formula, the
hive conditions, and the Kostant partition function to give the chamber
complex of cones in which is a polynomial in
variables . A
considerably large portion of Rassart’s paper was devoted to describing
this chamber complex and showing its desired property, resulting in a
fairly long justification. We note that although this chamber complex of
cones was provided, it is in practice computationally hard to work out
the cones.
Inspired by Rassart’s approach, we ask if similar tools can be
utilized to give a simple proof of Theorem 1.1 directly. We
found that Steinberg’s formula and a simple argument about the chamber
complex of the Kostant partition function are indeed sufficient. The
main objective of this paper is to give a short alternative proof of
Theorem 1.1 using this idea.
2. Preliminaries
We begin this section by presenting necessary notations and theories
related to polytopes and then describe the hive model for computing
. The hive
model will help us understand the behavior of the stretched
Littlewood-Richardson coefficients through a property of polytopes. We
then introduce the Kostant partition functions and state Steinberg’s
formula and related results that will later be used for proving Theorem
1.1.
2.1. Ehrhart theory
A polyhedron in is the solution to a finite
set of linear inequalities, that is, where , and is a finite set of indices. A
polytope is a bounded polyhedron. We can also equivalently
define a polytope in
as the convex hull of finitely many points in A polytope is said to be
rational if all of its vertices have rational coordinates, and
is said to be integral if all of its vertices have integral
coordinates. We refer readers to [18] for basic definitions regarding
polyhedra.
For a polytope in and a non-negative integer
the -dilation is the set We define to be
the number of integer points in the -dilation
Recall that a quasi-polynomial is a function of the form where each of is a periodic function in with an integral period. The
period of is the
least common period of . Clearly, a quasi-polynomial of period one is a
polynomial.
For a rational polytope , the
least common multiple of the denominators of the coordinates of its
vertices is called the denominator of . The behavior of the function is described by the following
theorem due to Ehrhart [4].
Theorem 2.1 (Ehrhart Theorey). If is a rational polytope, then is a quasi-polynomial in Moreover, the period of is a divisor of the denominator of
In particular, if is an integral polytope, then is a polynomial in
The polynomial (resp. quasi-polynomial) is called the Ehrhart
polynomial of (resp. Ehrhart
quasi-polynomial of ).
2.2. The
littlewood-Richardson coefficients
We say that is a partition of a non-negative integer
if are
positive integers such that For convenience, we will abuse the
notation by allowing to
be zero. The positive numbers among are called
parts of . For
example, is a
partition of with parts. We write to denote
A hive of size
is an array of vertices arranged in a triangular grid
consisting of small equilateral
triangles as shown in Figure 1. Two adjacent equilateral triangles form a
rhombus with two equal obtuse angles and two equal acute angles. There
are three types of these rhombi: tilted to the right, left, and vertical
as shown in Figure 1.
Figure 1 Hive of size 4 (left), and the three
types of rhombi in a hive (right)
Let be partitions with at most parts such that A hive of
type is a
labelling of that satisfies the following
hive conditions.
Boundary condition: The labelings on the boundary are
determined by in
the following ways.
Rhombi condition: For every rhombus, the sum of the labels
at obtuse vertices is greater than or equal to the sum of the labels at
acute vertices. That is, for and
Let denote
the set of all hives of type . Then the hive conditions (HC1) and (HC2) imply that is a rational
polytope in where
. Hence, we will
call the
hive polytope of type. Knutson-Tao [7] and Buch [2] showed that
Example 2.2. Let , and
, we have that . The two
corresponding integer points (integer labels) of are shown in
Figure 2.
Figure 2 The only two integer points (integer
labels) of
For fixed partitions with at most parts
such that , we define the the stretched
Littlewood-Richardson coefficient to be the function for non-negative
integer Because , we have that
Examples provided in [6] indicate that is in general not an
integral polytope. Thus, by Ehrhart theory (Theorem 2.1), is a
quasi-polynomial in . We will show
that is
indeed a polynomial in even
though the corresponding hive polytope is not integral.
2.3. Kostant
partition function and Steinberg’s formula
We will show the polynomiality of by using
Steinberg’s formula as derived in [11] by Rassart and the chamber complex of
the Kostant partition function. To this end, we state the related
notations and results for later reference.
Let be the
standard basis vectors in , and let be the set of positive roots of the root system of type
We define to be the matrix whose columns consist
of the elements of . The
Kostant partition function for the root system of type is the function defined by
That is, equals the number
of ways to write as nonnegative
integer linear combinations of the positive roots in .
An important property of the matrix , when written in the basis of simple
roots , is that it is totally unimodular, i.e. the determinant
of every square submatrix equals or Indeed, it was
shown in [13] that
a matrix is totally unimodular if
every column of only consists of
0’s and 1’s in a way that the 1’s come in a consecutive block. Let be the cone
spanned by the vectors in
The chamber complex is the polyhedral subdivision of that is obtained
from the common refinement of cones where are the maximum linearly independent
subsets of . A maximum cell
(a cone of maximum dimension) in the chamber complex is called a chamber. Since
is totally unimodular, the
behavior of is given by the
following lemma as a special case of [16, Theorem 1] due to Sturmfels.
Lemma 2.3. Let be a chamber in the chamber
complex of .
Then the Kostant partition function is a polynomial in on of degree at most .
Steinberg’s formula [15] expresses the tensor product of two
irreducible representations of semisimple Lie algebras as the direct sum
of other irreducible representations. When restricting the formula to
, we obtain
the following version of Steinberg’s formula for computing .
Theorem 2.4. Let be partitions with at
most part such that Then where is the number of
inversions of the permutation
and is the Weyl vector for type
Proof of Theorem 1.1. The hive conditions imply that
is a
quasi-polynomial in To see that
is in
fact a polynomial in , it suffices
to show that there exists an integer such that is a polynomial
in for
For ,
let
Then is a
ray (when allowing to be
non-negative real number) emanating from in
the direction of .
By Steinberg’s formula,
Lemma 2.3 states that is a polynomial in when stays in one particular cone (chamber)
of the chamber complex of . Because there
are only finitely many cones in the chamber complex, we have that for
every pair there exists an integer such
that exactly one of the following happens:
(1) The ray lies
in one particular cone of the chamber complex for all
(2) The ray lies
outside for
all
If (1) is satisfied, then
is a polynomial in for . If (2) is satisfied,
then
is the zero polynomial for In either case,
is a polynomial in for . Now let
Then Steinberg’s formula implies that is a polynomial
in for Therefore, is a polynomial
in .
By Lemma 2.3, each polynomial piece of
has degree at most . Thus, for every , we have that
is a polynomial in of degree at
most for Hence, is a polynomial
in of degree at most .
In the proof of Theorem 1.1, we showed that every
is eventually either the zero polynomial or a non-zero polynomial in
. Proposition 3.2 gives a
characterization of those
that eventually become nonzero polynomials. The proof uses the following
characterization of nonzero .
Lemma 3.1. Let
be a vector
in with . Then is nonzero if and only if for all .
Proof. Let be the
matrix written using the simple
roots as a basis. Then, the entries of are only and . Moreover, because the simple roots
themselves are columns of , we
have that the identity matrix is a submatrix of . Similarly, let be the vector written using the simple roots as a
basis. Then, . The desired result is obtained by observing
that
Proposition 3.2. Let be partitions with at
most part such that For let where and Then there exists an integer
such that
is a non-zero polynomial in for
if and only if for all we have that
(1) is positive, or
(2) is zero and is non-negative.
Proof. Let . Then . In the proof of Theorem 1.1, we showed
that there exists a positive integer such
that
is a polynomial in for
For every , the
partial sum is non-negative for all precisely when one of
the two conditions meets for all . Thus, by Lemma 3.1,
is a non-zero polynomial for
Acknowledgment
I am grateful to Fu Liu. Her careful review and thoughtful comments
significantly improved the exposition of this paper. I also would like
to thank UC Davis’s College of Letter and Science for providing the
Dean’s Summer Graduate Fellowship to support me during the summer of
2022.
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