Plethysms of symmetric functions
and representations of SL2(C)
Rowena Paget and Mark Wildon
Abstract.
Let ∇λ denote the Schur functor
labelled by the partition λ and let E be the natural representation
of SL2(C).
We make a systematic study of when there is an isomorphism
∇λSymℓE≅∇μSymmE of representations of SL2(C).
Generalizing
earlier results of King and Manivel, we classify all
such isomorphisms when λ and μ are conjugate partitions and
when one of λ or μ is a rectangle. We give a complete classification when
λ and μ each have at most two rows or columns or is a hook partition and
a partial classification when ℓ=m.
As a corollary of a more general result on Schur functors labelled by skew partitions
we also determine all cases when ∇λSymℓE is irreducible.
The methods used are from representation
theory and combinatorics; in particular, we make explicit the close connection
with MacMahon’s enumeration of plane partitions, and prove a new q-binomial identity in this setting.
2010 Mathematics Subject Classification:
05E05, Secondary: 05E10, 20C30, 22E46, 22E47
1. Introduction
Let SL2(C) be the special linear group of 2×2 complex
matrices of determinant 1
and let E be its natural 2-dimensional representation.
The irreducible complex representations of SL2(C) are, up to isomorphism, precisely the symmetric
powers SymnE for n∈N0.
A classical result, discovered by Cayley and Sylvester in the setting of invariant theory,
states that if a, b∈N then the representations
SymaSymbE and SymbSymaE of SL2(C) are isomorphic. More recently, King and Manivel independently proved that ∇(ab)Symb+c−1E is invariant,
up to SL2(C)-isomorphism, under permutation of a, b and c. Here ∇(ab)
is an instance of the Schur functor ∇λ, defined in §2.4.
Motivated by these results, the purpose of this article is to make
a systematic study of when there is a plethystic isomorphism
[TABLE]
of SL2(C)-representations. By taking the characters of each side, (1.1) is equivalent to
[TABLE]
where sλ is the Schur function for the partition λ.
By Remark 2.9, we also have sλ(1,q,…,qℓ)=(sλ∘sℓ)(1,q) where ∘ is the plethysm product.
Thus (1.1) can be investigated using a circle of powerful combinatorial ideas;
these include Stanley’s Hook Content Formula [27, Theorem 7.12.2].
Our results
reveal numerous surprising isomorphisms, not predicted by any existing results in the literature,
and a number of new obstacles to plethystic isomorphism. In particular,
we
prove a converse to the King and Manivel result. We also note Lemma 4.4,
which implies that, in the typical case for (1.2), the Young diagrams of
λ and μ have
the same number of removable boxes. Borrowing from the title of [15], these are all cases
where one may ‘hear the shape of a partition’.
Main results
Let ℓ(λ) denote the number of parts of a partition λ
and let a(λ) denote its first part, setting a(∅)=0.
Definition 1.1**.**
Given non-empty partitions λ and μ and ℓ, m∈N such that
ℓ≥ℓ(λ)−1 and m≥ℓ(μ)−1,
we set λ\tensor∗[ℓ]∼mμ if and only if
∇λSymℓE≅∇μSymmE as representations of SL2(C).
We refer to the relation \tensor∗[ℓ]∼m as plethystic equivalence.
By Lemma 4.1, we have \lambda\hbox{!\tensor*[{\ell(\lambda)-1\hskip 1.0pt}]{\sim}{{}{\ell(\lambda)-1}}\hskip 0.5pt}\overline{\lambda},
where, by definition,
λ is λ with its columns of length ℓ(λ) removed.
Such plethystic equivalences arise from the triviality of the representation ⋀ℓ+1Symℓ
of SL(E); as we show in Example 1.12 below, they can be dispensed
with by using Lemma 4.2 and Proposition 4.3 to reduce
to the following ‘prime’ case.
Definition 1.2**.**
A plethystic equivalence λ\tensor∗[ℓ]∼mμ is prime if
ℓ≥ℓ(λ) and m≥ℓ(μ).
To avoid technicalities, we state our first main theorem
in a slightly weaker form than in the main text.
Given a partition λ with Durfee square of size d,
let EP(λ) be the partition, shown in Figure 1 in §5,
obtained from the first d rows
of λ by deleting the maximal rectangle containing the Durfee square of λ.
Let SP(λ) be defined analogously,
replacing rows with columns. Thus SP(λ)=EP(λ′)′ where λ′ is the conjugate partition to λ.
The ‘if’ direction of the theorem below
was proved by King in [16, §4.2].
Theorem 1.3**.**
Let λ and μ be partitions.
There exist infinitely many pairs (ℓ,m) such that λ\tensor∗[ℓ]∼mμ if and only if
EP(λ)=SP(λ)′ and μ=λ′. In this case, the pairs are
all (ℓ,m) such that ℓ=ℓ(λ)−1+k and m=ℓ(μ)−1+k
for some k∈N0.
Our second main theorem sharpens this result to show that ‘infinitely many’ may be replaced with ‘three’,
and, in the case of prime equivalences, with ‘two’.
Theorem 1.4**.**
Let λ and μ be partitions.
There are two distinct pairs (ℓ,m), (ℓ†,m†)
such that λ\tensor∗[ℓ]∼mμ and \lambda\hbox{!\tensor[{\ell^{\dagger}\hskip 1.0pt}]{\sim}{{}{m^{\dagger}}}\hskip 0.5pt}\mu
are prime plethystic equivalences
if and only if either λ=μ
or EP(λ)=SP(λ)′ and λ=μ′.*
There are three distinct pairs
(ℓ,m), (ℓ†,m†), (ℓ‡,m‡)
such that λ\tensor∗[ℓ]∼mμ, \lambda\hbox{!\tensor[{\ell^{\dagger}\hskip 1.0pt}]{\sim}{{}{m^{\dagger}}}\hskip 0.5pt}\mu
and \lambda\hbox{!\tensor[{\ell^{\ddagger}\hskip 1.0pt}]{\sim}{{}{m^{\ddagger}}}\hskip 0.5pt}\mu*
if and only if either λ=μ
or EP(λ)=SP(λ)′ and λ=μ′.*
There exist distinct n, n†∈N such that λ\tensor∗[n]∼nμ
and \lambda\hbox{!\tensor[{n^{\dagger}\hskip 1.0pt}]{\sim}{{}{n^{\dagger}}}\hskip 0.5pt}\mu if and only if λ=μ.*
It is clear that no still sharper result
can hold in (i) or (iii); Example 1.12 below shows that
the same is true for (ii).
If ℓ(λ)≤r, let λ∘r denote the complementary partition
to λ in the r×a(λ) box, defined formally by
λr+1−i∘r=a(λ)−λi for 1≤i≤r.
The ‘if’ direction of the following theorem was proved in [16, §4.2].
Theorem 1.5**.**
Let r∈N and let λ be a partition with ℓ(λ)≤r.
Then λ\tensor∗[ℓ]∼ℓλ∘r if and only
if r=ℓ+1 or λ=λ∘r.
Our fourth main result includes the converse of the King and Manivel six-fold symmetries mentioned at the outset.
Again, to avoid technicalities, we state it in a slightly weaker form below.
Theorem 1.6**.**
Let λ be a partition and let a, b, c∈N.
If ℓ≥ℓ(λ) then λ\tensor∗[ℓ]∼b+c−1(ab) if and only if λ
is rectangular,
with λ=(a′b′), and (a′,b′,ℓ−b′+1) is a permutation of (a,b,c).
Extending a remark of King and part of Manivel’s proof, we show that the ‘if’ direction of
Theorem 1.6
is the representation-theoretic realization of the six-fold symmetry group
of plane partitions; these symmetries generalize conjugacy for ordinary partitions.
MacMahon [19] found a beautiful closed form for the generating
function of plane partitions that makes these symmetries algebraically obvious. We use
this to prove a new q-binomial identity that implies the symmetry by swapping b and c.
Taking b=1 in the full version of Theorem 1.6 we
obtain the following classification, notable
because of the connection with Hermite reciprocity and Foulkes’ Conjecture discussed
later in the introduction.
Corollary 1.7**.**
Let λ be a partition and let a, c∈N. There is an
isomorphism ∇λSymℓE≅SymaSymcE of SL2(C)-representations
if and only if λ is obtained by adding columns of length
ℓ+1 to one of the partitions (a), (1a), (c), (1c), (ac), (ca),
and ℓ is respectively c, a+c−1, a, a+c−1, c, a.
The entirely new results begin in §9 where we
consider skew Schur functions and prove a necessary and sufficient condition
for sλ/λ⋆(1,q,…,qℓ) to be equal,
up to a power of q, to 1+q+⋯+qn for some n∈N0.
This is equivalent to the irreducibility of
∇λ/λ⋆E.
(We outline a construction of skew Schur functors in Remark 9.2 below.)
Specializing this result to partitions, we characterize all irreducible plethysms.
Corollary 1.8**.**
Let λ be a partition and let ℓ∈N. There exists n∈N0
such that ∇λSymℓE≅SymnE
if and only if one of:
ℓ=1* and ℓ(λ)≤2;*
ℓ≥2* and either λ=(pℓ+1) or
λ=(p,(p−1)ℓ) or λ=(pℓ,p−1) for some p∈N.*
Since ∇λSymℓE is irreducible if and only if λ\tensor∗[ℓ]∼1(n)
for some n∈N0, Corollary 1.8 can also be obtained
from the full version of Theorem 1.6, or, more directly,
from Corollary 1.7.
In §10 we classify all equivalences λ\tensor∗[ℓ]∼mμ
when λ and μ are two-row, two-column or hook partitions.
To give a good flavour of this, we state the result for
equivalences between two-row and hook partitions.
Theorem 1.9**.**
*Let λ be a non-hook partition with exactly two parts and let μ
be a hook partition with
non-zero arm length and leg length. If ℓ≥ℓ(λ)
and m≥ℓ(μ) then
λ\tensor∗[ℓ]∼mμ if and only if the relation is one of
(a,b)\raisebox{3.0pt}{\begin{matrix}[l]!\tensor*[{a-b+1\hskip 1.0pt}]{\sim}{{}{a}}\hskip-0.5pt(a-b+1,1^{b})\
!\tensor*[{a-b+1\hskip 1.0pt}]{\sim}{{}{2(a-b)}}\hskip-0.5pt(b+1,1^{a-b}),\end{matrix}}**
(3\ell-3,2\ell-1)\raisebox{3.0pt}{\begin{matrix}[l]!\tensor*[{\ell\hskip 1.0pt}]{\sim}{{}{3\ell-4}}\hskip-0.5pt(\ell+1,1^{\ell-2})\
!\tensor*[{\ell\hskip 1.0pt}]{\sim}{{}{3\ell-2}}\hskip-0.5pt(\ell-1,1^{\ell}).\end{matrix}}**
In §11 we consider
the case of prime equivalences in which ℓ=m.
Building on Theorem 1.5, we obtain the following partial classification.
Theorem 1.10**.**
Let λ and μ be partitions and let ℓ≥ℓ(λ),ℓ(μ).
If ℓ≤4 then λ\tensor∗[ℓ]∼ℓμ if and only if λ=μ
or λ∘(ℓ+1)=μ.
For all ℓ≥5 there exist infinitely many distinct pairs
(λ,μ) such that λ=μ, λ=μ∘(ℓ+1), and λ\tensor∗[ℓ]∼ℓμ.
We end in §12 where we show that there exist infinitely many
partitions whose only plethystic equivalences are the inevitable column removals
from Lemma 4.1
and the complement equivalences from Theorem 1.5.
Theorem 1.11**.**
Let δ(k)=(k,k−1,…,1) and let ℓ, m∈N.
Let μ be a partition.
Suppose that ℓ≥k and m≥ℓ(μ) and that μ=δ(k).
Then δ(k)\tensor∗[ℓ]∼mμ if and only if ℓ=m, ℓ>k and
μ=δ(k)∘(ℓ+1).
The following example is chosen to illustrate many of our main results.
Example 1.12**.**
Let b, c, d∈N. Since \bigl{(}(b+c)^{c},c^{d}\bigr{)} is the complement
of \bigl{(}(b+c)^{b},b^{d}\bigr{)} in the (b+c+d)×(b+c) box,
Theorem 1.5 implies that
[TABLE]
The column removals relevant to Lemma 4.1 are
\overline{\bigl{(}(b+c)^{b},b^{d}\bigr{)}}=(c^{b}) and
\overline{\bigl{(}(b+c)^{c},c^{d}\bigr{)}}=(b^{c}).
By Lemma 4.1 there are non-prime plethystic equivalences
\bigl{(}(b+c)^{b},b^{d}\bigr{)}\!\tensor*[_{b+d-1\hskip 1.0pt}]{\sim}{{}_{b+d-1}}\hskip-0.5pt(c^{b}) and
\bigl{(}(b+c)^{c},c^{d}\bigr{)}\!\tensor*[_{c+d-1\hskip 1.0pt}]{\sim}{{}_{c+d-1}}\hskip-0.5pt(b^{c}).
By either Theorem 1.3 or Theorem 1.6, we
have (cb)\tensor∗[b+d−1]∼c+d−1(bc). Thus
[TABLE]
By Lemma 4.2 this chain can be read as the factorization of
a non-prime plethystic equivalence
[TABLE]
By Theorem 1.4(ii), there are precisely two plethystic equivalences
between \bigl{(}(b+c)^{b},b^{d}\bigr{)} and \bigl{(}(b+c)^{c},c^{d}\bigr{)}, namely the two found above.
As expected from this theorem, only one of these equivalences is prime.
1.1. Outline
In the remainder of this introduction we illustrate the critical Theorem 3.4,
which collects a number of equivalent conditions for
the plethystic equivalence in Definition 1.1
by giving
two short proofs that SymaSymbE≅SymbSymaE for all a, b∈N0.
In the spirit of
this work, one proof also gives a converse.
We then give a brief literature survey, organized around the different generalizations
of this isomorphism.
In §2 we construct the irreducible representations of SL2(C) as the
symmetric powers SymℓE, and give other basic results from representation theory.
We then give an explicit model for the representations ∇λSymℓE.
While ∇λE is non-zero only if ℓ(λ)≤2,
the representation ∇λSymℓE is non-zero
whenever ℓ≥ℓ(λ)−1. This explains the ubiquity of
this condition in this work, and why we require the generality
of Schur functors, despite working only with representations of GL2(C) and
its subgroups. To
make the paper largely self-contained, we
end by defining Schur functions.
The reader may prefer to treat §2 as a reference
and begin reading in §3, where we state and prove
Theorem 3.4. In §4
we collect some useful basic properties of the relations \tensor∗[ℓ]∼m.
In §§5–12 we prove
the main results, as already outlined.
Theorem 1.5 requires the statement of Theorem 1.4,
which in turn uses the statement of Theorem 1.3; several later
theorems need the statement of Theorem 1.5.
Apart from this, the sections may be read independently.
1.2. Hermite reciprocity
The isomorphism SymnSymℓE≅SymℓSymnE of GL2(C)-representations
for n, ℓ∈N
was first discovered, in the context of invariant theory, by
Hermite [12, end §1]. It was
observed by Cayley in [3, §20], where he acknowledges Hermite’s prior discovery;
some special cases may be seen in Sylvester [29], published in the same
journal issue as [12]. Thus it is also known (for instance in the title of [20])
as the Cayley–Sylvester formula. An invariant theory proof in modern
language may be found in [26, 3.3.4]. Another elegant proof,
using the symmetric group, is in
[11, Corollary 2.12].
We offer two proofs that illustrate
different conditions in Theorem 3.4. Each shows
that (n)\tensor∗[ℓ]∼n(ℓ), or equivalently, Hermite reciprocity for representations of
SL2(C).
Then, since the degrees on each side are equal,
it follows from Proposition 3.6 that there is a GL2(C)-isomorphism.
The first proof is well known, and is sketched
in [9, Exercise 6.19]; later in §8.1 we give its generalization to plane partitions.
Yet another proof (including the converse) can be given
using Theorem 3.4(i).
Proof by tableaux.
By Theorem 3.4(g), we have (n)\tensor∗[ℓ]∼n(ℓ) if and only if
|\mathcal{S}_{e}^{\ell}\bigl{(}n\bigr{)}|=|\mathcal{S}_{e}^{n}\bigl{(}\ell\bigr{)}| for all e∈N0, where, by definition,
Seℓ(n) is the set of semistandard tableaux of shape (n) with entries
from {0,1,…,ℓ} whose sum of entries is e.
Let t be such a tableau, having exactly ci entries of i for each i∈{0,1,…,b}.
Then, reading its unique row from right to left, and ignoring any zeros, t encodes the partition
(ℓcℓ,…,1c1) of e.
Hence ∣Seℓ(n)∣ is the number of partitions of e
whose diagram is contained in the n×ℓ box. By conjugating partitions, this
number is invariant under swapping n and ℓ.
∎
Proof by Stanley’s Hook Content Formula.
The content of the partition
(n) is {0,1,…,n−1}, and its hook lengths are {1,2,…,n}.
(These terms are defined in Definition 2.11.)
By Theorem 3.4(h),
(n)\tensor∗[ℓ]∼m(n′) if and only if
[TABLE]
where / denotes a difference multiset, as defined in §3.1.
Equivalently, the multiset unions
{ℓ+1,ℓ+2,…,n+ℓ}∪{1,2,…,n′} and {m+1,m+2,…,m+n′}∪{1,2,…,n} are equal.
If n=n′ then, cancelling {1,2,…,n} from each side, we see that
ℓ=m, giving a trivial solution.
Otherwise we may suppose by symmetry that n<n′. Now n+1 is in the first union
and so m=n; comparing greatest elements we see that n′=ℓ. We
therefore have n′=ℓ and m=n, corresponding to Hermite
reciprocity.
∎
We remark that the first proof shows that that partitions contained
in the n×ℓ box are enumerated, according to their size,
by a character of SL2(C). In particular by Theorem 3.4,
the sequence is unimodal that is,
first weakly increasing and then weakly decreasing.
1.3. Literature on SL2(C)-plethysms
By Hermite reciprocity, the multiplicity of any Schur function
s(ℓn−d,d) labelled by a two-part partition
is the same in s(n)∘s(ℓ) and s(ℓ)∘s(n).
More generally, Foulkes conjectured in [7] that if n≥ℓ then
s(n)∘s(ℓ)−s(ℓ)∘s(n) is a non-negative integral linear combination
of Schur functions; Foulkes’ Conjecture has been proved only when n≤5 (see [4])
and when n is very large compared to ℓ (see [2]).
A number of ‘stability’ results on plethysm are relevant to
this setting. For example, a special case of the theorem on page 354 of [2]
implies that the multiplicity of SymrE in SymnSymℓE
is at most the multiplicity of Symr+nE in SymnSymℓ+1E.
The first proof of Hermite reciprocity above translates this into a non-trivial combinatorial
result comparing partitions of r in the n×ℓ box and partitions of r+n
in the n×(ℓ+1) box.
In [16], King proves the ‘if’ direction of Theorem 1.6,
and sketches a proof of a weaker version of the converse. He mentions
as one motivation the Wronskian
isomorphism ⋀bSymb+c−1E≅SymbSymcE of representations
of the compact subgroup SU2(C) of SL2(C). This is interpreted by Wybourne
in [30] as an equality between the number of completely antisymmetric
states of b+c−1 identical bosons each of angular momentum c/2 and the number
of symmetric states of b identical bosons each of angular momentum c/2.
(There is a typographic error between (13) and (14) in [30]; m+1+n should be
m+1−n, as in (13).)
This realizes the well-known
equality between the number of c-multisubsets of {1,…,b}
and the number of c-subsets of {1,…,b+c−1}. By Lemma 4.1 in [21], the special
case of the Wronskian isomorphism ⋀2Symc+1E≅Sym2SymcE
holds when E is the natural representation of any finite special
linear group SL2(Fq). It would be interesting to have further examples of such
‘modular plethysms’.
The second main result of [1] classifies all partitions λ and ν
such that the plethysm sλ∘sν is equal to a single Schur function.
Apart from the obvious sλ∘s(1)=sλ, the
only examples are s(1,1)∘s(1,1)=s(2,1,1) and s(1,1)∘s(2)=s(3,1). By Remark 2.9 and (2.8),
the formal character of ∇λSymℓE, evaluated at 1 and q is
(sλ∘s(ℓ))(1,q).
Our Corollary 1.8 therefore shows that
there are more irreducible plethysms when we work with symmetric functions truncated
to two variables.
The equality (s(15)∘s(2))(x1,x2,x3)=s(2,2)(x1,x2,x3),
corresponding to the isomorphism ⋀5Sym2U≅∇(2,2)U
where U is a
3-dimensional complex vector space, gives a similar ‘non-generic’ example for three variables.
Corollary 1.8 is itself a special case of Theorem 9.5
on skew Schur functors. While we do not require it in this work, we note that
a combinatorial formula
for the corresponding plethysm sλ/λ⋆(1,q,…,qℓ)=(sλ/λ⋆∘s(ℓ))(1,q) is given by Morales, Pak and Panova
in [22, Theorem 1.4] in terms of certain ‘excited’ Young diagrams
of shape λ/λ⋆ first defined by
Ikeda and Naruse in [13]. This result is a generalization
of Stanley’s Hook Content Formula (see [27, Theorem 7.21.2]),
one of the main tools in this work.
As a corollary the authors obtain a formula
due to Naruse [23] for the number of standard tableaux of shape
λ/λ⋆.
For further general
background on plethysms we refer the reader to [17] and
to the survey in [24].
2. Background
2.1. Representations of SL2(C)
Let G be a subgroup of GL2(C) containing SL2(C).
A representation ρ:G→GL(V) is said to be polynomial
if, with respect to a chosen basis of V, each matrix entry in ρ(g) is a polynomial
in the matrix entries of g∈G. If these polynomials
all have the same degree r, we say that V has degree r.
We define the character of a polynomial representation V of G to be
the unique two variable polynomial ΦV such that
[TABLE]
for all non-zero α, β∈C. We define the Q-character of V
to be the Laurent polynomial ΨV such that ΨV(Q)=ΦV(Q−1,Q).
Remarkably every smooth representation of SL2(C) is polynomial. Thus the following
summary theorem is a restatement of a basic result in Lie Theory.
Theorem 2.1**.**
Let V
be a polynomial representation of SL2(C).
Then V is isomorphic to a direct
sum of irreducible representations.
Moreover, if V is irreducible then there exists a unique ℓ∈N0
such that V≅SymℓE.
Proof.
See [10, Chapter 12].
∎
Let E be a 2-dimensional
complex vector space with basis e1, e2.
The diagonal matrix with entries 1/α and α acts on the
canonical basis element e1l−ke2k of SymℓE
by multiplication by α2k−ℓ. Therefore
[TABLE]
Lemma 2.2**.**
Let V be a polynomial representation of SL2(C). Then V is determined up to isomorphism
by its Q-character ΨV. Moreover, ΨV(Q)=ΨV(Q−1).
Proof.
Since the Laurent polynomials in (2.2) are linearly independent, the result
is immediate
from Theorem 2.1.
∎
2.2. Partitions
Let Par(r) denote the set of partitions of r∈N.
We write ∣λ∣=r if λ∈Par(r). We have already introduced
the notation ℓ(λ) for the number of parts of λ. If i>ℓ(λ)
then we set λi=0.
The Young diagram of λ is
the set
{(i,j):1≤i≤ℓ(λ),1≤j≤λi}; we refer
to its elements as boxes, and draw [λ] using the ‘English’ convention
with its longest row at the top of the page, as in Example 2.6 below.
2.3. Tableaux
A λ-tableau is a function
t:[λ]→N0. If t(i,j)=b,
then we say that t has entry b in box (i,j),
and write t(i,j)=b. If the entries of each row of t are weakly increasing
when read from left to right we say that t is row-semistandard.
If the entries of each column of t are strictly increasing when read from
top to bottom, we say that t is column standard.
If both conditions hold, we say that t is semistandard.
Let RSSYT≤ℓ(λ)
and SSYT≤ℓ(λ) be the sets of row semistandard
and semistandard λ-tableaux respectively,
with entries in {0,1,…,ℓ}. Note that [math] is permitted as an entry.
Given a permutation σ of the boxes [λ], and a λ-tableau t,
we define σ⋅t by (\sigma\cdot t)(i,j)=t\bigl{(}\sigma^{-1}(i,j)\bigr{)}.
Thus if t has entry b in box (i,j) then σ⋅t has entry b in
box σ(i,j). Let C(λ) be the group of all permutations that permute
within themselves boxes in the same column of [λ].
We define the weight of tableau t, denoted ∣t∣, to be the sum of its entries.
2.4. A construction of ∇λSymℓE
Fix ℓ∈N and let V=⟨v0,…,vℓ⟩
be an (ℓ+1)-dimensional complex vector space.
Given a λ-tableau t with entries from {0,1,…,ℓ}, define
[TABLE]
Define
[TABLE]
We say that
F(t) is the GL-polytabloid corresponding to t.
Observe that if σ∈C(t) then
[TABLE]
Hence F(t)=0 if t has a repeated entry in a column.
It is clear that {f(t):t∈RSSYT≤ℓ(λ)} is
a basis of ⨂i=1ℓ(λ)SymλiV.
Thus given any g∈GL(V), there exist unique coefficients
αs∈C for s∈RSSYT≤ℓ(λ)
such that
[TABLE]
It is routine to check that if σ is a permutation of [λ] then
gf(σ⋅t)=∑s∈RSSYT≤ℓ(λ)αsf(σ⋅s).
It now follows from the definition in (2.4)
that the linear span of the F(t) for t a
λ-tableau with
entries from {0,1,…,ℓ} is a GL(V)-subrepresentation of
⨂i=1ℓ(λ)SymλiV; this is ∇λV.
In particular, it is clear that ∇(n)V≅SymnV for each n∈N0.
Example 2.3**.**
By (2.5) the representation ∇(1n)V
has as a basis all GL-polytabloids F(t) where t is a standard (1n)-tableau
with entries from {0,1,…,ℓ}. Moreover, the linear map
∇(1n)V→⋀nV
defined by
F(t)↦vt(1,1)∧⋯∧vt(n,1)
is an isomorphism of representations of GL(V). In particular, if n=ℓ+1
then ∇(1n) is the determinant representation of GL(V).
More generally we have the following theorem.
Theorem 2.4**.**
The GL-polytabloids F(s) for s∈SSYT≤ℓ(λ) are a
C-basis of ∇λV.
Proof.
See either [6, Proposition 2.11] or [8, Chapter 8].
∎
Definition 2.5**.**
Let λ be a partition and let ℓ∈N.
Let E be the natural representation of GL2(C).
Let ρ:GL2(C)→GL(V) be the
representation corresponding to V.
We define ∇λSymℓE to be the
restriction of the representation ∇λV of GL(V) to the image of
ρ.
Let vk=e1ℓ−ke2k for 0≤k≤ℓ be the
canonical basis of SymℓE. Using this basis in Definition 2.5,
the action of g∈GL(E) on a GL-polytabloid
F(s)
may be computed by the following device:
formally replace each entry b of s with gvb, expressed as a linear combination
of v0,v1,…,vℓ.
Then expand multilinearly, and use
the column relation (2.5) followed by Garnir relations
(see [6, Corollary 2.6] or [8, Chapter 8])
to express
the result as a linear combination of GL-polytabloids F(t) for semistandard tableaux t.
Example 2.6**.**
Take ℓ=2 so V=Sym2E=⟨e12,e1e2,e22⟩.
The action of a lower-triangular matrix g∈GL2(C) on V is given, with respect
to the chosen basis, by
[TABLE]
In its action on ∇(2,1)Sym2E we have
[TABLE]
where the third line uses the column relation in (2.5).
Lemma 2.7**.**
Let λ be a partition and let ℓ∈N0. We have
[TABLE]
Proof.
By Theorem 2.4, the F(t) for t∈SSYT≤ℓ(λ) are
a basis of ∇λSymℓE. Let g∈GL2(C) be diagonal with
entries α and δ. Let τ∈C(t) and let u=τ⋅t.
By (2.3),
[TABLE]
Since g⋅vk=αℓ−kδkvk, we have g⋅f(u)=αℓ∣λ∣−∣u∣δ∣u∣f(u) where
∣u∣=∑(i,j)∈[λ]u(i,j)
is the weight ∣u∣ defined above. This is also the weight of t.
Therefore each F(t) is an eigenvector for g with eigenvalue
αℓ∣λ∣−∣t∣δ∣t∣. The lemma follows.
∎
2.5. Symmetric functions and plethysm
Let C[x0,x1,…] be the polynomial ring in the indeterminates x0,x1,….
We define a symmetric function f to be a family f(n)(x0,…,xn)
of symmetric polynomials in C[x0,x1,…] such that
[TABLE]
for all m, n∈N0 with m≤n.
The notation is simplified (without introducing any ambiguity) by writing
f(x0,…,xℓ) for f(ℓ)(x0,…,xℓ).
Definition 2.8**.**
Let λ be a partition. Given a λ-tableau t with entries
from N0, let xt=x0a0(t)x1a1(t)… where ak(t) is the
number of entries of t equal to k∈N0.
The Schur function sλ is the symmetric function defined by
[TABLE]
The compatibility condition (2.6) is easily checked. Let C[q] be a polynomial ring.
Observe that
when xk is specialized to qk, the monomial xt becomes q∣t∣, where, as usual,
∣t∣ is the weight of t. Therefore
[TABLE]
It follows immediately
from our definition and Lemma 2.7 that
[TABLE]
This equation is the main bridge we need between representation theory and combinatorics.
Remark 2.9**.**
The plethysm product of symmetric functions is defined in
[17], [18, Ch. 1, Appendix A]
and [27, Ch. 7, Appendix 2].
For our purposes, we may define
(sλ∘s(ℓ))(x,y)
by formally
substituting the monomials summands of s(ℓ)(x,y)=xℓ+xℓ−1y+⋯+yℓ for the ℓ+1 variables in sλ(x0,…,xℓ).
That is, (sλ∘s(ℓ))(x,y)=sλ(xℓ,xℓ−1y,…,yℓ). Hence Φ∇λSymℓE(1,q)=(sλ∘s(ℓ))(1,q), as mentioned after (1.2) earlier.
For Theorem 3.4(i) we require the original definition of
Schur polynomials using determinants and antisymmetric polynomials. Given a sequence (γ0,γ1,…,γℓ) of non-negative integers, define
[TABLE]
By [27, Theorem 7.15.1], if ℓ≥ℓ(γ)−1 then
[TABLE]
2.6. Stanley’s Hook Content Formula
Definition 2.10**.**
Let λ be a partition. We define the minimum weight of λ, denoted b(λ), by
b(λ)=∑j=1a(λ)(2λj′).
Equivalently, b(λ)=∑i=1ℓ(λ)(i−1)λi.
Observe that b(λ) is the weight of the semistandard λ-tableau
having λi entries of i−1 in row i; as the terminology suggests,
this tableau has the minimum weight
of any tableau in SSYT≤ℓ(λ).
It follows that qb(λ) is the summand of sλ(1,q,…,qℓ) of minimum degree.
Definition 2.11**.**
Let λ be a partition. The hook length of (i,j)∈[λ],
denoted h(i,j)(λ), is (λi−i)+(λj′−j)+1.
The content of (i,j)∈[λ] is j−i. Let H(λ)={h(i,j)(λ):(i,j)∈[λ]} and C(λ)={j−i:(i,j)∈[λ]} be the corresponding
multisets.
For example, the unique greatest hook length of a non-empty partition λ is
h_{(1,1)}(\lambda)=\bigl{(}a(\lambda)-1\bigr{)}+\bigl{(}\ell(\lambda)-1\bigr{)}+1=a(\lambda)+\ell(\lambda)-1.
The least element of C(λ) is 1−ℓ(λ).
Therefore whenever ℓ≥ℓ(λ)−1 we have C(λ)+l+1⊆N.
For m∈N, let [m]q be the quantum integer defined by
[TABLE]
Theorem 2.12** (Stanley’s Hook Content Formula).**
Let λ be a partition and let ℓ∈N. Then
[TABLE]
Proof.
This is a restatement of [27, Theorem 7.21.2]
using the quantum integer notation. Note that our ℓ appears in [27] as ℓ−1.
∎
2.7. Pyramids
In this subsection we prove an antisymmetric analogue of Stanley’s Hook Content Formula. Most
of the ideas may be found in [27, §7.21], so no originality is claimed.
Definition 2.13**.**
We define the differences δ(λ) of a partition λ
by δ(λ)j=λj−λj+1+1 for each j∈N.
For ℓ≥ℓ(λ)−1,
let Δℓ(λ) be the multiset whose elements are all
δ(λ)j+⋯+δ(λ)k−1 for 1≤j<k≤ℓ+1.
Observe that if j<k then λj−λk+k−j=δ(λ)j+⋯+δ(λ)k−1.
Lemma 2.14**.**
Let λ be a partition such that ℓ≥ℓ(λ)−1.
There exists c∈N0 such that
[TABLE]
Proof.
Taking γ=(0,1,…,ℓ) in (2.9) and transposing the matrix
we get the Vandermonde identity
[TABLE]
By (2.9) we have
[TABLE]
Therefore, specializing xj to qγj in the Vandermonde determinant, we obtain
[TABLE]
Set γj=λj+1+ℓ−j for 0≤j≤ℓ, and use the observation
just before the lemma to get
[TABLE]
for some C(λ)∈N0. The special case λ=∅ gives the specialized
Vandermonde identity
[TABLE]
Taking the ratio of these two equations and using (2.10)
we obtain
[TABLE]
where c=C(λ)−C(∅). This is equivalent to the claimed identity.
∎
Corollary 2.15**.**
Let λ be a partition and let ℓ≥ℓ(λ)−1. Then
[TABLE]
Proof.
By Lemma 2.14 there exists c∈N0 such that
[TABLE]
The factors in the numerator are the quantum integers from Δℓ(λ).
The factors in the denominator are the quantum integers from
{1ℓ,2ℓ−1,…,ℓ}, where the exponents indicate multiplicities. By (2.7),
qb(λ) is the monomial of least degree in sλ(1,q,…,qℓ). Since each quantum
integer is congruent to 1 modulo q, the result follows.
∎
It is convenient to display the elements of the multiset Δℓ(λ) in a pyramid
of ℓ rows, numbered from 1, in which row i has entries
δ(λ)j+⋯+δ(λ)j+i−1,
for j∈{1,…,ℓ−(i−1)}. Thus, writing Pj(i) for the entry in position j of row i
of the pyramid P, we have
Pj(i+1)=Pj(i)+Pj+1(i)−Pj+1(i−1). By convention, we
set Pj(0)=0 for each j.
Example 2.16**.**
We take ℓ=m=5. The partitions (8,7,2,2) and (8,6,3) have
differences (2,6,1,3,1) and (3,4,4,1,1), respectively. Their
pyramids are
[TABLE]
Each pyramid has multiset of entries {12,2,3,42,5,6,7,8,9,10,11,12,13}.
By Corollary 2.15, cancelling the equal denominators
[1]q5[2]q4[3]q3[4]q2[5]q we see that
s(8,7,2,2)(1,q,q2,q3,q4,q5) and
s(8,6,3)(1,q,q2,q3,q4,q5) are equal up to a power of q.
By Theorem 3.4(e) below,
(8,7,2,2)\tensor∗[5]∼5(8,6,3).
This example is generalized in Proposition 11.3.
3. Equivalent conditions for the plethystic isomorphism
3.1. Difference multisets
The following formalism simplifies the main results of this section and is convenient
throughout this paper.
Definition 3.1**.**
A difference multiset is a pair
(X,Z) of finite multisubsets of N, denoted X/Z.
If x∈N has multiplicity a in X and b in Z,
then the multiplicity of x in X/Z is a−b. Two difference
multisets are equal if their multiplicities agree for all x∈N.
Alternatively, a difference multiset may be regarded as an element of the
free abelian group on N. This point of view justifies our definition
of equality and makes obvious many simple
algebraic rules for manipulating difference multisets.
For example, X/Z=Y/W
if and only if X/Y=Z/W.
The following lemma is used implicitly in (4.8) in [16].
Lemma 3.2**.**
Let X and Y be finite multisubsets of N. In the polynomial ring C[q], we have
∏x∈X(qx−1)=∏y∈Y(qy−1) if and only if X=Y.
Proof.
If either X or Y is empty the result is obvious. In the remaining cases,
let u be greatest such that ∏x∈X(qx−1) has e2πi/u
as a root. By choice of u, qu−1 is a factor in the left-hand side.
Since e2πi/u
is also a root of ∏y∈Y(qy−1),
the same argument shows that qu−1 is a factor in the right-hand side.
Therefore u=maxX=maxY and
it follows inductively that X=Y.
∎
Corollary 3.3**.**
Let X/Z and Y/W be difference multisets. Working in the field of fractions of Q[q], we have
[TABLE]
if and only if X/Z=Y/W.
Proof.
Multiply through by ∏z∈Z(qz−1)∏w∈W(qw−1) and then
apply Lemma 3.2.
∎
We apply this corollary to the polynomial quotients in Theorem 2.12
and Corollary 2.15 in the proof of Theorem 3.4 below.
3.2. Portmanteau Theorem
Recall from §2.3 that the weight of a tableau, denoted ∣t∣, is its sum of entries.
The minimum weight b(λ) is defined in Definition 2.10.
Given a partition λ and ℓ∈N0, let
Seℓ(λ) be the
set of all semistandard λ-tableaux with entries from {0,1,…,ℓ}
whose weight is e. Thus (2.7) can be restated as
[TABLE]
In (h) and (i) below the notation indicates a difference
multiset, as defined in the previous subsection. The multisets
C(λ) and H(λ) are defined in Definition 2.11
and Δℓ(λ) is defined in Definition 2.13.
Theorem 3.4**.**
Let λ and μ be partitions and let ℓ, m∈N be such that ℓ≥ℓ(λ)−1
and m≥ℓ(μ)−1.
The following are equivalent:
λ\tensor∗[ℓ]∼mμ;
∇λSymℓE≅∇μSymmE* as representations
of SL2(C);*
Ψ∇λSymℓE(Q)=Ψ∇μSymmE(Q);
q−ℓ∣λ∣/2sλ(1,q,…,qℓ)=q−m∣μ∣/2sμ(1,q,…,qm);
sλ(1,q,…,qℓ)=qdsμ(1,q,…,qm)* for some d∈Z;*
q−b(λ)sλ(1,q,…,qℓ)=q−b(μ)sμ(1,q,…,qm);
there exists d∈Z such that ∣Se+dℓ(λ)∣=∣Sem(μ)∣ for all e∈N0;
(C(λ)+ℓ+1)/H(λ)=(C(μ)+m+1)/H(μ);
Δℓ(λ)/{1ℓ,2ℓ−1,…,ℓ}=Δm(μ)/{1m,2m−1,…,m}.
Moreover if any of these conditions hold then −2ℓ∣λ∣+b(λ)=−2m∣μ∣+b(μ),
each side in (d) is unimodal and centrally symmetric and about its constant term,
and the constant d in (e) and (g) is b(λ)−b(μ).
Proof.
By Definition 1.1, (a) and (b) are equivalent.
By Lemma 2.2, (b) and (c) are equivalent.
By definition Ψ∇λSymℓE(Q)=Φ∇λSymℓE(Q−1,Q). Hence, by (2.8)
and the homogeneity of ∇λSymℓE,
[TABLE]
Therefore (c) and (d) are equivalent.
Clearly (d) implies (e).
Conversely, suppose that (e) holds, with qdsλ(1,q,…,qℓ)=sμ(1,q,…,qm).
By the previous displayed equation
and Lemma 2.2, q−ℓ∣λ∣/2sλ(1,q,…,qℓ)
is a linear combination of polynomials of the form q−b/2+q−(b−1)/2+⋯+qb/2.
Hence it is centrally symmetric and unimodal about its constant term
Now, comparing points of central symmetry, (e) implies that d+ℓ∣λ∣/2=m∣μ∣/2.
Multiplying both sides of qdsλ(1,q,…,qℓ)=sμ(1,q,…,qm) by q−d−ℓ∣λ∣/2=q−m∣μ∣/2, we obtain (d).
We noted before Definition 2.11
that sλ(1,q,…,qℓ) has minimum degree
summand qb(λ).
Therefore (e) and (f) are equivalent.
By (3.1),
(e) and (g) are equivalent.
The remainder of the ‘moreover’ part now follows by comparing the q powers in (d) and (f).
By Stanley’s Hook Content Formula, as stated in Theorem 2.12, (f)
holds if and only if
[TABLE]
By Corollary 3.3, this is equivalent to (h).
Finally (f) and (i) are equivalent by the same argument with
Corollary 3.3
applied
to the right-hand side in Corollary 2.15.
∎
3.3. Extending plethystic isomorphisms
We end by considering when an SL2(C)-isomorphism ∇λSymℓE≅∇μSymmE
extends to an overgroup of SL2(C).
The following lemma is used to show
that the only obstruction is the determinant representation of GL(E).
Lemma 3.5**.**
Let λ and μ be partitions and let ℓ, m∈N be such that ℓ≥ℓ(λ)−1
and m≥ℓ(μ)−1 and λ\tensor∗[ℓ]∼mμ.
Set D=−2ℓ∣λ∣+2m∣μ∣. Then D∈Z
and
[TABLE]
as representations of GL2(C).
Proof.
By the ‘moreover’ part in Theorem 3.4, D=−b(λ)+b(μ), and hence D∈Z.
By (2.8), we have
sλ(1,q,…,qℓ)=Φ∇λSymℓE(1,q). Therefore
[TABLE]
Since representations of GL2(C) are completely reducible,
they are determined by their characters. Since Φdet(α,β)=αβ,
the GL2(C) representations
detD⊗∇λSymℓE and
to ∇μSymmE are isomorphic if and only if
[TABLE]
for all α, β∈C×. Since Φ∇λSymℓE is homogeneous
of degree ℓ∣λ∣ and Φ∇μSymmE is homogeneous of degree m∣μ∣,
this holds if and only if
[TABLE]
for all α, β∈C×. Using (3.2) to rewrite
Φ∇μSymmE(1,β/α) on the right-hand side we get
the equivalent condition that (αβ)Dαℓ∣λ∣=αm∣μ∣(β/α)D
for all α, β∈C×. This holds by our choice of D.
∎
For d∈N0, let
Ud={ω∈C:ωd=1} and
let
[TABLE]
If SL2(C)≤G≤GL2(C) then
either {detg:g∈G} is one of the subgroups Ud
or it is dense (in the Zariski topology) on C×.
In the latter case, if V and W are polynomial
representations of GL2(C) and V≅W as representations of SL2(C), then the isomorphism
extends to G if and only if it extends to GL2(C).
Proposition 3.6**.**
Let λ and μ be partitions and let ℓ, m∈N be such that ℓ≥ℓ(λ)−1
and m≥ℓ(μ)−1. Suppose that λ\tensor∗[ℓ]∼mμ.
Set D=−2ℓ∣λ∣+2m∣μ∣. Then D∈Z
and ∇λSymℓE is isomorphic to ∇μSymmE
as representations of MGL2(d)(C)
if and only if d divides D.
Proof.
By Lemma 3.5, we have the required isomorphism
if and only if detD is the trivial representation of MGL2(d)(C).
This holds if and only if Ud has exponent dividing D, so if and only if d divides D.
∎
In particular, ∇λSymℓE and ∇μSymmE are isomorphic as representations
of GL2(C) if and only if they are isomorphic as representations of SL2(C) and
the degrees ℓ∣λ∣ and m∣μ∣ are equal.
It is worth noting that the proof of Lemma 3.5
made essential use of the fact that the representations involved are homogeneous.
For example, if V=det⊕det2
and W=E⊗det then ΦV(1,q)=ΦW(1,q)=q+q2.
But V and W are not isomorphic, even after restriction to SL2(C).
4. Basic properties of equivalence
Given a non-empty partition λ let λ be the partition
obtained by removing all columns of length ℓ(λ) from λ.
Lemma 4.1**.**
If λ is a partition then
either λ is empty or
λ\tensor∗[ℓ(λ)−1]∼ℓ(λ)−1λ.
Proof.
Let ℓ=ℓ(λ)−1 and suppose that λ has precisely
c columns of length ℓ(λ).
We may suppose that a(λ)>c.
If t is a semistandard tableau of shape λ with entries from {0,1,…,ℓ}
then the first c columns of t each have entries [math], 1, …, ℓ read from
top to bottom. Let t be the tableau obtained from t by removing these columns.
Using the model for ∇λSymℓE in Definition 2.5,
we see that there is a linear isomorphism
ϕ:∇λSymℓE→∇λSymℓE
defined by F(t)↦F(t). Moreover, by a routine generalization
of Example 2.3,
if h∈GL(SymℓE) then
[TABLE]
If g∈GL(E), each matrix coefficient of g in its
action on SymℓE is a polynomial of degree ℓ, and so the
determinant of g acting on SymℓE has degree ℓ(ℓ+1).
We deduce that ϕ is an isomorphism
[TABLE]
of representations of GL(E). Hence by Theorem 3.4(b), we have
λ\tensor∗[ℓ]∼ℓλ, as required.
∎
An alternative, but we believe less conceptual,
proof of Lemma 4.1 can be
given by applying Theorem 3.4(g) to the bijection t↦t.
When ℓ=m the relation \tensor∗[ℓ]∼m is neither reflexive nor transitive.
The following lemma is the correct replacement for transitivity.
Lemma 4.2**.**
Let k, ℓ, m∈N and let λ, μ, ν be
partitions. If λ\tensor∗[k]∼ℓμ and μ\tensor∗[ℓ]∼mν then
λ\tensor∗[k]∼mν.
Proof.
This is immediate from Theorem 3.4(b).
∎
Proposition 4.3**.**
Let λ and μ be partitions. Then λ\tensor∗[ℓ(λ)−1]∼ℓ(μ)−1μ
if and only if λ\tensor∗[ℓ(λ)−1]∼ℓ(μ)−1μ.
Proof.
This is immediate from Lemma 4.1 and Lemma 4.2.
∎
Lemma 4.4**.**
Let λ and μ be partitions and let ℓ, m∈N be such that
ℓ≥ℓ(λ)−1 and m≥ℓ(μ)−1. Let λ⋆ and μ⋆
be the partitions obtained from λ and μ by removing
all columns of length ℓ+1 and m+1, respectively. If λ\tensor∗[ℓ]∼mμ
then λ⋆ and μ⋆ have the same number of removable boxes.
Proof.
If ℓ=ℓ(λ)−1 then λ⋆=λ
and by Lemma 4.1
λ\tensor∗[ℓ]∼ℓλ⋆. Otherwise ℓ>ℓ(λ)−1
and λ=λ⋆. Hence λ\tensor∗[ℓ]∼ℓλ⋆
and μ\tensor∗[m]∼mμ⋆. By Lemma 4.2,
λ⋆\tensor∗[ℓ]∼mμ⋆. By Theorem 3.4(g)
and the final statement in this theorem,
[TABLE]
For each removable box in λ⋆, there is a
corresponding semistandard tableau of shape λ⋆ and
weight b(λ⋆)+1, obtained from the unique semistandard
tableau of shape λ⋆ and minimal weight b(λ⋆)
by increasing the entry in the removable box by 1.
Conversely, every element of Sb(λ⋆)ℓ(λ⋆) arises
in this way.
A similar result holds for μ⋆. The displayed equation therefore implies
that the numbers of removable boxes are the same.
∎
Lemma 4.5**.**
Let λ be a non-empty partition and let ℓ, m∈N
be such that ℓ,m≥ℓ(λ)−1. Then λ\tensor∗[ℓ]∼mλ
if and only if ℓ=m.
Proof.
By Theorem 3.4(h) we have \bigl{(}C(\lambda)+\ell+1\bigr{)}/H(\lambda)=\bigl{(}C(\lambda)+m+1\bigr{)}/H(\lambda). Cancelling the equal sets of hook lengths
we have C(λ)+ℓ+1=C(λ)+m+1. Since λ is non-empty
it follows that ℓ=m.
∎
Recall that a(λ) denotes the first part of a partition λ.
Lemma 4.6**.**
Let λ be a partition and let ℓ∈N be such that ℓ≥ℓ(λ).
The unique greatest element of C(λ)+ℓ+1 is a(λ)+ℓ.
Proof.
The box \bigl{(}1,a(\lambda)\bigr{)} of [λ]
has the unique greatest content of any box in λ, namely of a(λ)−1.
∎
Recall that a plethystic equivalence λ\tensor∗[ℓ]∼mμ is prime if
ℓ≥ℓ(λ) and m≥ℓ(μ).
Proposition 4.7**.**
Let λ and μ be partitions.
If λ\tensor∗[ℓ]∼mμ is a prime equivalence then a(λ)+ℓ=a(μ)+m.
Proof.
By hypothesis, each hook length of λ
is at most a(λ)+ℓ(λ)−1. By Lemma 4.6,
the unique greatest element of \bigl{(}C(\lambda)+\ell+1\bigr{)}/H(\lambda) is a(λ)+ℓ.
The lemma now follows from Theorem 3.4(h).
∎
5. Conjugate partitions
5.1. Background
The rank of a non-empty partition λ, denoted R(λ),
is the maximum r such that λr≥r.
The Durfee square of λ is the subset {(i,j):1≤i,j≤R(λ)}
of its Young diagram.
Theorem 1.3 also requires
the following less standard definitions.
Definition 5.1**.**
Let λ be a partition and let d=R(λ).
The south-rank of λ, denoted S(λ),
is the maximum j∈N0 such that λd+j=d.
The south-partition of λ, denoted SP(λ) is
(λd+S(λ)+1,…,λℓ(λ)).
The east-rank of λ, denoted E(λ), is S(λ′).
The east-partition of λ, denoted EP(λ), is SP(λ′)′.
These quantities are shown in Figure 1.
For example, the partition λ=(8,6,5,3,3,1) shown in Figure 2
has
R(λ)=3, E(λ)=2, EP(λ)=(3,1),
S(λ)=2 and SP(λ)=(1).
We begin with three equivalent conditions for the existence of infinitely many plethystic
equivalences between distinct partitions λ and μ.
We then prove a fourth equivalent condition, namely that
μ=λ′ and EP(λ)=SP(λ)′,
obtaining Theorem 5.5 and, a fortiori, Theorem 1.3.
Proposition 5.2**.**
Let λ and μ be non-empty partitions. The following
are equivalent.
There exist infinitely many
pairs (ℓ,m) such that λ\tensor∗[ℓ]∼mμ.
There exists l^{\dagger}\geq a(\lambda)+2\bigl{(}\ell(\lambda)-1\bigr{)} and
m^{\dagger}\geq a(\mu)+2\bigl{(}\ell(\mu)-1\bigr{)}
such that λ\tensor∗[l†]∼m†μ.
H(λ)=H(μ)* and there exists
d∈Z such that C(λ)+d=C(μ).*
Proof.
Suppose (i) holds. By Theorem 3.4(h),
there exist arbitrarily large ℓ such that, for some m,
[TABLE]
When ℓ is very large C(λ)+ℓ+1 is disjoint
from H(λ), and by Lemma 4.6
the greatest element with non-zero multiplicity in the left-hand side
is a(λ)+ℓ. Hence m is also very large and (ii) holds.
If ℓ† and m† satisfy (ii) then, by (5.1),
min(C(λ)+ℓ†+1)=−ℓ(λ)+ℓ†+2>a(λ)+ℓ(λ)−1=maxH(λ),
and similarly min(C(μ)+m†+1)>maxH(μ).
Hence, the multisets C(λ)+ℓ†+1 and H(λ)
are disjoint, as are the multisets C(μ)+m†+1 and H(μ),
and so we have H(λ)=H(μ) and C(λ)+ℓ†+1=C(μ)+m†+1.
Moreover, comparing minimum elements in (5.1) we have
[TABLE]
Hence (iii) holds taking d=ℓ†−m†.
Finally if (iii) holds, then (i) holds whenever ℓ−m=d.
∎
We remark that the bound in (ii) is tight: for example, by the Hermite reciprocity
seen in §1.2, if λ=(n) and μ=(n+1) where n∈N, then
λ\tensor∗[n+1]∼nμ and n+1\geq a(\lambda)+2\bigl{(}\ell(\lambda)-1\bigr{)}=n.
As expected from (ii), n\not\geq a(\mu)+2\bigl{(}\ell(\mu)-1)=n+1.
Work of Craven [5] shows that there is no
simple characterization of when H(λ)=H(μ). Fortunately
the second condition in (iii) is much more tractable.
Lemma 5.3**.**
Let λ and μ be non-empty partitions and let d∈Z.
Then C(λ)+d=C(μ)
if and only if R(λ)=R(μ),
EP(λ)=EP(μ), SP(λ)=SP(μ) and
[TABLE]
Proof.
The ‘if’ direction is implied by the special case when
E(μ)=E(λ)+1
and S(μ)=S(λ)−1. In this case
μ is obtained from λ by
deleting the lowest of the S(λ) parts of λ of size R(λ)
and inserting R(λ) boxes
as a new column at the right of the E(λ) columns of λ of size R(λ).
We must show that C(μ)=C(λ)+1.
It is clear that adding 1 to the content of the boxes (i,j)∈[λ]
with i>R(λ)+S(λ) or j>R(λ)+E(λ)
gives the content of a corresponding box (i−1,j) or (i,j+1)∈[μ].
Moreover, as the shaded squares in Figure 2 show in a special case,
adding 1 to the content of each
remaining box in [λ] gives the contents of the remaining boxes in [μ].
Conversely, suppose that C(λ)+d=C(μ).
It is clear that no member of C(λ) can have multiplicity exceeding R(λ).
As can be seen from the content of the two marked boxes in Figure 1,
the contents of multiplicity R(λ) are precisely
−S(λ),…,E(λ).
Similarly in C(μ) the contents of maximum multiplicity are
−S(μ),…,E(μ), each with multiplicity R(μ). Therefore R(λ)=R(μ), E(λ)+d=E(μ) and −S(λ)+d=−S(μ).
The greatest element of C(λ)+d is \operatorname{R}(\lambda)+\operatorname{E}(\lambda)+a\bigl{(}\operatorname{{\mathcal{E}\hskip-0.5pt\mathcal{P}}}(\lambda)\bigr{)}-1+d
and the greatest element of C(μ) is \operatorname{R}(\mu)+\operatorname{E}(\mu)+a\bigl{(}\operatorname{{\mathcal{E}\hskip-0.5pt\mathcal{P}}}(\mu)\bigr{)}-1. Since R(λ)=R(μ) and
E(λ)+d=E(μ) it follows that a\bigl{(}\operatorname{{\mathcal{E}\hskip-0.5pt\mathcal{P}}}(\lambda)\bigr{)}=a\bigl{(}\operatorname{{\mathcal{E}\hskip-0.5pt\mathcal{P}}}(\mu)\bigr{)}.
Similarly comparing C(λ)+d and C(μ) on
their least elements shows that \ell\bigl{(}\operatorname{{\mathcal{SP}}}(\lambda)\bigr{)}=\ell\bigl{(}\operatorname{{\mathcal{SP}}}(\mu)\bigr{)}.
Let λ⋆ and μ⋆ be the partitions obtained by
removing both the first row and column from λ and μ, respectively.
In each case this removes one box of each content between the least and greatest.
Therefore the hypothesis C(λ)+d=C(μ) implies that
C(λ⋆)+d=C(μ⋆). If both sides are empty, we are done.
Otherwise, it follows by induction that EP(λ⋆)=EP(μ⋆)
and SP(λ⋆)=SP(μ⋆), and hence
EP(λ)=EP(μ) and SP(λ)=SP(μ), as required.
∎
Lemma 5.4**.**
Let λ and μ be partitions such that
R(λ)=R(μ).
Suppose that for some d∈N, we have
d=−E(λ)+E(μ)=S(λ)−S(μ),
EP(λ)=EP(μ)
and SP(λ)=SP(μ). Then H(λ)=H(μ)
if and only if E(λ)=S(μ) and
SP(λ)=EP(λ)′.
Proof.
Let R=R(λ), E=E(λ), S=S(μ),
κ=EP(λ) and ν=SP(λ).
Figure 3 shows the partitions λ and μ.
Clearly if E=S and κ=ν′ then λ′=μ and
so H(λ)=H(μ).
Conversely, suppose that H(λ)=H(μ). The hook lengths outside
the two thick rectangles in Figure 3 agree.
If (i,j) is a box in the Durfee square of λ
then
[TABLE]
where the parentheses indicate the arm and leg lengths. Similarly
if (i,j) is in a box in the Durfee square of μ then
[TABLE]
Hence h(i,j)(λ)=h(i,j)(μ).
It remains to compare the hook lengths
[TABLE]
for (R+i,j)∈{R+1,…,R+d}×{1,…,R}
and (i,R+j)∈{1,…,R}×{R+1,…,R+d}.
Since R>a(ν) and R>ℓ(κ),
the least such hook length for λ is h(R+d,R)(λ)=S+1
and the least such hook length for μ is h(R,R+d)(μ)=E+1.
Therefore E=S.
Subtracting R+S+d+1 from the multisets of dR hook lengths
in the two
previous displayed equations, we see that
H(λ)=H(μ) if and only if there is an equality of multisets
[TABLE]
The unique greatest elements of each side are ν1′−2 and κ1−2,
respectively.
Therefore ν1′=κ1. Cancelling
the equal sets
[TABLE]
from each side we may repeat this argument inductively,
as in the proof of Lemma 5.3,
to get ν′=κ, as required.
∎
We are now ready to prove the slightly stronger version
of Theorem 1.3 stated below.
Theorem 5.5**.**
Let λ and μ be distinct non-empty partitions. The following
are equivalent:
there exist infinitely many
pairs (ℓ,m) such that λ\tensor∗[ℓ]∼mμ;
H(λ)=H(μ)* and there exists
d∈Z such that C(λ)+d=C(μ);*
λ=μ′* and SP(λ)=EP(λ)′.*
Moreover,
if any of these condition holds then λ\tensor∗[ℓ]∼mμ if and only if
ℓ=ℓ(λ)−1+k and m=ℓ(μ)−1+k for some k∈N0
and in (ii) d=ℓ(λ)−ℓ(μ).
Finally, if λ=μ′ but SP(λ)=EP(λ′)
then there are no plethystic equivalences between λ and μ.
Proof of Theorem 5.5.
By Proposition 5.2, (i) and (ii) are equivalent.
Suppose that (ii) holds.
By swapping
λ and μ if necessary, we may suppose that d∈N0.
Since λ and μ are distinct and so C(λ)=C(μ), we have
d∈N. Now by Lemma 5.3
followed by Lemma 5.4 we get λ′=μ
and SP(λ)=EP(λ)′,
as required. Conversely, these lemmas show that (iii) implies (ii) with d=ℓ(λ)−ℓ(μ). For the ‘moreover’ part,
assuming (ii), it follows from Theorem 3.4(h) that
λ\tensor∗[ℓ]∼mμ whenever ℓ≥ℓ(λ)−1, m≥ℓ(μ)−1
and ℓ−m=d, giving the claimed plethystic equivalences.
Conversely, suppose that λ\tensor∗[ℓ]∼mμ and that (iii) holds.
By Proposition 4.7 and (iii), we have
[TABLE]
so ℓ=ℓ(λ)−1+k and m=ℓ(μ)−1+k for some k∈N0, as required.
For the ‘finally part’, the hypotheses imply that H(λ)=H(μ′) so by Theorem 3.4(h),
if there is a plethystic equivalence then C(λ)+d=C(μ) for some d∈Z. But this
contradicts Lemma 5.3.
∎
We end this section by remarking that, by Proposition 3.6,
a plethystic isomorphism
∇λSymℓ(λ)−1+kE≅∇λ′Syma(λ)−1+kE
given by Theorem 5.5
extends to the overgroup MGL2(d)(C) of SL2(C) if and only
if d divides |\lambda|\bigl{(}a(\lambda)-\ell(\lambda)\bigr{)}/2.
(Note this condition does not involve k.)
In particular, there is a GL2(C) isomorphism if and only
if a(λ)=ℓ(λ). But in this case, since EP(λ)=SP(λ)′,
we have E(λ)=S(λ),
and so λ=λ′.
We conclude that that there are infinitely many plethystic
isomorphisms of GL2(C)-representations
∇λSymℓE≅∇μSymmE
if and only if λ=μ.
6. Multiple equivalences
We need two lemmas on difference multisets.
Lemma 6.1**.**
Let X and Y be finite multisubsets of Z and
let a, b, c∈N0.
If (X+a)/X=(Y+b)/(Y+c) then either a=0 and b=c or a=0, b>c,
maxX+a=maxY+b and minX=minY+c.
Proof.
Clearly a=0 if and only if b=c. Suppose neither is the case.
Since a>0 the maximum element with non-zero multiplicity in the left-hand side is maxX+a.
Since it has positive multiplicity,
maxX+a=maxY+b and b>c. Similarly the minimum element in the left-hand side
with non-zero multiplicity
is minX, with negative multiplicity, and so minX=minY+c.
∎
Lemma 6.2**.**
Let Z and W be finite multisubsets of Z and
let t∈Z be non-zero. If Z/W=(Z+t)/(W+t) then Z=W.
Proof.
Suppose, for a contradiction, that Z=W. Let x to be greatest element with non-zero multiplicity
in Z/W. Clearly x+t is the greatest element with non-zero multiplicity
in (Z+t)/(W+t). But Z/W=(Z+t)/(W+t) so x=x+t, hence t=0, a contradiction.
∎
Proof of Theorem 1.4(i) and (ii).
If ℓ=ℓ† then from λ\tensor∗[ℓ]∼mμ and λ\tensor∗[ℓ†]∼m†μ we get
μ\tensor∗[m]∼ℓλ and λ\tensor∗[ℓ]∼m†μ, and so by Lemma 4.2,
μ\tensor∗[m]∼m†μ. But now, by Lemma 4.5, we have m=m†,
contradicting that the pairs (ℓ,m) and (ℓ†,m†) are distinct. Therefore
we may suppose that ℓ<ℓ†,
and in (ii) of the three
plethystic equivalences, two are prime. It therefore suffices to prove (i).
For (i), since ℓ≥ℓ(λ), Proposition 4.7 implies that
a(λ)+ℓ=a(μ)+m and a(λ)+ℓ†=a(μ)+m†.
Let t=ℓ†−ℓ=m†−m∈N denote the common difference.
By Theorem 3.4(h), we have equalities of difference multisets
[TABLE]
Hence
[TABLE]
By Lemma 6.2, we deduce that C(λ)+ℓ+1=C(μ)+m+1.
Writing Z for this multiset, (6.1) can be restated as
Z/H(λ)=Z/H(μ), which
implies that H(λ)=H(μ).
Therefore either λ=μ, or
the hypotheses for Theorem 5.5(ii) hold,
and we may conclude that μ=λ′ and SP(λ)=EP(λ)′. ∎
Proof of Theorem 1.4(iii).
By Theorem 3.4(h) the hypotheses imply
[TABLE]
Hence
[TABLE]
Subtracting n+1 from every element of these multisets we obtain
[TABLE]
By Lemma 6.2 applied with Z=C(λ), W=C(μ) and t=n†−n
we have C(λ)=C(μ). Therefore λ=μ, as required. ∎
7. Complementary partitions
Let λ be a partition such that ℓ(λ)≤r.
Recall that λ∘r denotes
the complementary partition to λ in the r×a(λ) box.
Equivalently,
λi∘r=a(λ)−λr+1−i
for each i∈{1,…,r}.
In §2.3 we defined
the set SSYT≤ℓ(λ) of semistandard
λ-tableaux with entries in {0,1,…,ℓ}.
We extend this notation in the obvious way to define SSYT<r(λ).
Given t∈SSYT<r(λ), let t∘r be the
unique column standard λ∘r-tableau t∘r having
as its entries in column j the complement in {0,1,…,r−1} of the entries of
t in column a(λ)+1−j.
For example if
λ=(3,2,2,1) then λ∘5=(3,2,1,1) and under the map t↦t∘5
we have
[TABLE]
The following proposition is
implicit in [16, §4].
Proposition 7.1**.**
The map t↦t∘r is a self-inverse bijection
[TABLE]
Proof.
The only non-obvious claim is that t∘r is semistandard.
Suppose, for a contradiction, that columns
a(λ)−j−1 and a(λ)−j of
t∘r have entries
m1∘≤k1∘, …, mi−1∘≤ki−1∘ and
mi∘>ki∘ when read from top to bottom.
Let columns j and j+1 of t read
from top to bottom have entries k1≤m1, …, kh≤mh where h is greatest
such that mh<mi∘.
Then {m1∘,…,mi−1∘,m1,…,mh} are
all the numbers strictly less than mi∘ in {0,1,…,r−1},
since, by choice of h, if mh+1 is defined then mh+1>mi∘.
But from the chain mi∘>ki∘>…>k1∘ and the inequalities
mi∘>mh≥mj≥kj
for j∈{1,…,h}, we see that mi∘ is strictly greater than
i+h distinct numbers, a contradiction.
∎
Proof of Theorem 1.5.
For the ‘if’ direction we give a slightly
simplified version of the argument in [16].
By construction of t∘r we have ∣t∣+∣t∘r∣=a(λ)r(r−1)/2.
Therefore Proposition 7.1
implies that ∣Ser−1(λ∘r)∣=∣Sar(r−1)/2−er−1(λ)∣ for each e∈N0.
Recall from (3.1) that sλ(1,q,…,qℓ)=∑e∈N0∣Seℓ(λ)∣qe.
Thus the coefficient of qe in sλ∘r(1,q,…,qr−1)
agrees with the coefficient of qa(λ)r(r−1)/2−e in sλ(1,q,…,qr−1), and so
[TABLE]
By the central symmetry in the ‘moreover’ part of Theorem 3.4,
[TABLE]
Hence
[TABLE]
By Theorem 3.4(e), we have λ∘r\tensor∗[r−1]∼r−1λ, as required.
For the ‘only if’ direction suppose that λ=λ∘r and λ\tensor∗[ℓ]∼ℓλ∘r.
From the ‘if’ direction, we have λ\tensor∗[r−1]∼r−1λ∘r.
By Theorem 1.4(ii) we deduce that ℓ=r−1, as required.
∎
8. Rectangular equivalences and q-binomial identities
In this section we determine all plethystic equivalences λ\tensor∗[ℓ]∼mμ
in which one or both of λ and μ is a rectangle, of the form (ab) with
a, b∈N. Our main result is as follows.
Theorem 8.1**.**
Let λ be a partition and let a, b, c∈N.
Then λ\tensor∗[ℓ]∼b+c−1(ab) if and only if
λ is obtained by adding columns of length ℓ+1 to a rectangle
(a′b′) with b′≤ℓ and (a′,b′,ℓ−b′+1) is a permutation of (a,b,c).
Clearly this implies Theorem 1.6. Conversely,
as seen in Example 1.12, by using
Lemma 4.1 and Lemma 4.2
one may reduce to the case when ℓ≥ℓ(λ)
of a prime plethystic equivalence.
Therefore Theorem 8.1 follows routinely
from Theorem 1.6.
In the following subsection we
use Theorem 3.4(e) to show that the
‘if’ direction of Theorem 1.6 is the representation-theoretic realization of the six-fold
symmetry group of plane partitions.
Next we prove a new determinantal
formula using q-binomial coefficients
of MacMahon’s generating function of plane partitions.
We then prove the ‘only if’ direction
of Theorem 1.6 using certain unimodal graphs to keep track
of the contents of rectangles.
The section ends
with the corollary for the case b=1; this generalizes the Hermite reciprocity
seen in §1.2.
8.1. Plane partitions
Recall that a plane partition
of shape λ is a λ-tableau with entries from N whose
rows and columns are weakly decreasing, when read left to right and top to bottom.
Let PP(a,b,c) denote the set of plane partitions π with
entries in {1,…,c} whose shape sh(π) is contained in [(ab)].
Assigning [math] to each box of [(ab)]\sh(π)
defines a bijection between PP(a,b,c)
and the set of (ab)-tableaux with
entries from N0 and weakly decreasing rows and columns.
Observe that if t is such a tableau then rotating
t by a half-turn and adding j−1 to
every entry in row j gives a semistandard tableau of shape (ab)
with entries in {0,1,…,b+c−1}. Again this map is bijective. Hence we have
[TABLE]
where, extending our usual notation, ∣π∣ denote the sum of entries of a plane partition π.
Proof of ‘if’ direction of Theorem 1.6.
Representing elements of PP(a,b,c,) plane partitions
by three-dimensional Young diagrams contained
in the a×b×c cuboid,
it is clear that the right-hand side of (8.1)
is invariant under permutation of a,b,c.
The ‘if’ direction now follows from Theorem 3.4(e).
∎
8.2. MacMahon’s identity
In [19, page 659], MacMahon proved that
[TABLE]
This makes the invariance of (8.1) under
permutation of a, b and c algebraically obvious.
For a modern proof using (8.1) and Stanley’s Hook Content Formula
see (7.109) and (7.111) in [27].
In this section we prove Corollary 8.4, which gives
a new q-binomial form for the right-hand side of MacMahon’s formula.
Specializing q to 1 in this corollary we obtain the attractive identity
[TABLE]
Proving the invariance of the right-hand side
under permutation of a, b and c was
asked as a MathOverflow question by T. Amdeberhan111See
mathoverflow.net/q/322894/7709. in 2019.
Hermite reciprocity and q-binomial coefficients
Recall from (2.11) that [m]q=(qm−1)/(q−1)∈C[q] for m∈N0.
Set [m]q=0 if m<0.
For m, ℓ∈N0, we define the q-binomial coefficient [ℓm]∈C[q] by
[TABLE]
As motivation, we note that, by Stanley’s Hook Content Formula (Theorem 2.12), we have s(n)(1,q,…,qℓ)=[ℓn+ℓ].
We saw in the first proof of Hermite reciprocity
in §1.2 that s(n)(1,q,…,qℓ) is the
generating function for partitions contained in the n×ℓ box. Thus
the well-known invariance of [ℓn+ℓ]
under swapping n and ℓ is equivalent to Hermite reciprocity.
Jacobi–Trudi
Let em be the elementary symmetric function of degree m.
By [27, Proposition 7.8.3]
we have eℓ(1,q,…,qm−1)=q(2ℓ)[ℓm].
It will be convenient to denote the right-hand side by ℓm.
Using this notation,
the dual Jacobi–Trudi formula (see [27, Corollary 7.16.2]) implies that
[TABLE]
A determinantal form of MacMahon’s identity
We now apply row and column operations to the matrix in (8.3) using the following two
versions of the Chu–Vandermonde identity for our scaled q-binomial coefficients. To make the article
self-contained we include
bijective proofs
using that ℓm is
the generating function enumerating ℓ-subsets of
{0,…,m−1} by their sum of entries. (This easily follows
from [28, Proposition 1.7.3].)
A different proof of (8.4) using the q-binomial theorem
is given in the solution to Exercise 100 in [28].
Lemma 8.2**.**
We have
[TABLE]
Proof.
For (8.4),
observe that a (ℓ+r)-subset of {0,1,…,m+r−1} containing exactly k
elements of {m,…,m+r−1} has a unique decomposition as Y∪Z
where Y is a k-subset of {m,…,m+r−1}
and Z is an (ℓ+r−k)-subset of {0,1,…,m−1}. These pairs
are enumerated, according to their sum of entries,
by qmkkr and ℓ+r−km, respectively.
Identity (8.5) can be proved similarly by splitting the subset as Y′∪Z′
where Y′ is a k-subset of {0,…,r−1} and Z′ is an (ℓ+r−k)-subset
of {r,…,m+r−1}.
∎
Proposition 8.3**.**
For any a,b,c∈N we have
[TABLE]
where each determinant is of an a×a matrix with entries
defined by taking 0≤i,j≤a−1, and A=(2a)b−(3a+1).
Proof.
Let M be the matrix with entries b+j−ib+c for 0≤i,j≤a−1
appearing in (8.3).
Let Cj denote the jth column of M, where columns are numbered from [math] up to a−1.
Let M′ be the matrix obtained from M by replacing Cj with the linear combination
[TABLE]
for each j∈{0,…,a−1}. Since 0j=1, we have detM′=detM.
By (8.4), taking m=b+c, ℓ=b−i and r=j and replacing
the summation variable k with j−j′, we have
[TABLE]
Therefore M′ has entries b+j−ib+c+j.
as required for the first equality.
Let Ri′ denote the ith row of M′. Let M′′ be the matrix obtained from M′ by
replacing Ri′ with the linear combination
[TABLE]
for each i∈{0,…,a−1}. Since qi(b−i)ii=qi(b−i)+(2i)
and
[TABLE]
we have detM′′=q(2a)b−(3a+1)detM′.
By (8.5) taking m=b+c+j, ℓ=b+j−i and r=i and replacing
the summation variable k with i′ we have
[TABLE]
Multiplying through by q−ij, we see
that M′′ has entries q−ijb+jb+c+ij. The final equality follows.
∎
Corollary 8.4**.**
For any a,b,c∈N we have
[TABLE]
Proof.
Let N be the a×a matrix on the right-hand side.
Since b+jb+c+i+j=q(2b+j)[b+jb+c+i+j]
and ∑j=0a−1(2b+j)=(3a+b)−(3b),
it follows from the second equality in Proposition 8.3
that
[TABLE]
By direct calculation one finds that
[TABLE]
The identity now follows using 12+⋯+(a−1)2=a(a−21)(a−1)/3.
∎
8.3. Plethystic equivalences between rectangles
In this subsection we prove the ‘only if’ direction of Theorem 1.6.
The following lemma gives one useful reduction.
Lemma 8.5**.**
Let a, b∈N and let μ be a partition. If d≥b and m≥ℓ(μ)−1
then (ab)\tensor∗[d−1]∼mμ if and only if (ad−b)\tensor∗[d−1]∼mμ.
Proof.
Since (ad−b) is the complement of (ab) in the d×a box,
we have (ab)\tensor∗[d−1]∼d−1(ad−b) by
Theorem 1.5. Now apply Lemma 4.2.
∎
As seen here, it is most convenient to work with the
shift applied to the content multiset: thus d=ℓ+1 in the usual notation.
Recall from Definition 2.11 that h(i,j)(λ) denotes the hook length
of the box (i,j)∈[λ].
Definition 8.6**.**
Let λ be a non-empty partition and
let d≥ℓ(λ). Define cλ(d):N0→N0 and hλ:N0→N0 by
[TABLE]
and the content-hook function chλ(d):N0→Z by
chλ(d)=cλ(d)−hλ.
By Theorem 3.4(h), we have
[TABLE]
The equalities on the right-hand side of (8.6)
can easily be classified
from the graphs of the content-hook functions.
We include full details to save the
reader case-by-case checking.
As a visual guide, in inequalities
and graphs we
write x-coordinates relevant to the content in bold.
Lemma 8.7**.**
Let b≤d. If b≤a then the graphs of c(ab)(d) and −h(ab) are
b$$\bf\scriptstyle-b+d$$\bf\scriptstyle d$$\bf\scriptstyle a-b+d$$\bf\scriptstyle a+d
-b$$b$$a$$a+b
If b≥a then the graphs of c(ab)(d) and h(ab) are
a$$\bf\scriptstyle-b+d\hskip 18.0pt$$\bf\scriptstyle-b+a+d$$\bf\scriptstyle d$$\bf\scriptstyle a+d
-a$$a$$b$$a+b
Proof.
Suppose that b≤a.
The unique least and greatest elements of C\bigl{(}(a^{b})\bigr{)}+d are
−b+1+d and a−1+d, respectively. Moreover d and a−b+d are the least
and greatest element of the maximum multiplicity b.
Thus (−b+d,0), (b,d),
(a−b+d,0) and (a+d,0) are points on the graph of
c(ab)(d). It is easily seen that, between each adjacent
pair of points, the graph is linear.
The graph of h(ab) can be found similarly.
∎
By Lemma 8.5, we may reduce to the case where 2b≤d, which we now consider.
Lemma 8.8**.**
Let 2b≤d. If b≤a then precisely one of:
b≤−b+d≤d≤a<a+b≤a−b+d<a+d;
b≤−b+d≤a<d≤a+b≤a−b+d<a+d;
b≤a<−b+d<a+b<d≤a−b+d<a+d;
b≤a<a+b≤−b+d<d≤a−b+d<a+d.
If a<b then precisely one of
a<b≤−b+d≤a+b≤a−b+d<d<a+d;
a<b<a+b<−b+d≤a−b+d≤d<a+d.
Proof.
We have −b+d<d<a−b+d<a+d
and b≤a≤a+b. We must consider how these chains interleave.
By our reduction b≤−b+d.
Suppose that b≤a.
By the reduction, a+b≤a−b+d, and so the interleaved chain
ends a−b+d<a+b.
If d≤a+b then either
d≤a, giving (i), or a<d≤a+b, giving (ii).
Otherwise a+b<d and so a<−b+d. Either −b+d<a+b giving (iii)
or a+b≤−b+d giving (iv).
Suppose that a<b. By the reduction,
a+b≤a−b+d<d<a+d,
so the interleaved chain ends a−b+d<d<a+d.
If −b+d≤a+b we have (v), otherwise (vi).
∎
Lemma 8.9**.**
The graphs of ch(ab)(d) in each of the cases in Lemma 8.8
are as shown in Figure 4 overleaf.
Proof.
This is routine from Lemma 8.7 and Lemma 8.8.
∎
We are now ready to prove the ‘only if’ direction
of Theorem 1.6.
Proof.
By hypothesis ℓ≥ℓ(λ) and (ab)\tensor∗[b+c−1]∼ℓλ.
Let d=b+c. It follows from
Lemma 4.4 that λ is a rectangle.
Let λ=(a′b′) and let ℓ=b′+c′−1 where c′∈N. Set d′=b′+c′.
Since the six-fold equivalences given by the ‘if’ direction of Theorem 1.6 form
a group, we may use Lemma 8.5 to assume that
2b≤d and 2b′≤d′.
Using (8.6), it suffices to show that ch(ab)(d)=ch(a′b′)(d′)
only if (a′,b′,c′) is a permutation of (a,b,c).
Say that a graph in Lemma 8.9 is generic if it has
a piecewise-linear part of gradient [math] or 2 in its middle. For example,
the graph in (i) is generic if and only if d<a.
For each generic graph there are two other generic graphs with which it may agree,
giving six cases we must check.
These are surprisingly simple to resolve. To give a typical instance,
suppose that the hook-content
functions in case (i) for (ab) and shift d
and case (iv) for (a′b′) and shift d′ agree.
Comparing the inequality chains from Lemma 8.8, namely
[TABLE]
shows that b′=b, a′=−b+d=c and d′=a+b.
Hence c′=d′−b′=a and
(a′,b′,c′)=(c,b,a). The corresponding equivalence is
(ab)\tensor∗[b+c−1]∼a+b−1(cb).
The remaining generic cases are similar.
The equations satisfied by a′, b′, d′,
the permutation of (a,b,c) and the corresponding equivalence are shown in the table below;
the first line is the case already considered.
[TABLE]
In the non-generic cases
(i) and (ii) agree when a=d; (iii) and (iv) agree when
−b+d=a+b; (v) and (vi) agree when −b+d=a+b. Therefore we need
only compare cases (i), (iii) and (v) using Lemma 8.9.
If (i) and (iii) agree
then d=a=−b+d=a+b, hence b=0, a contradiction. If (i) and (v) agree then
d=a=−b+d=a+b, hence b=0, again a contradiction. It is impossible
for (iii) and (iv) to agree because b≤a in (iii) and a<b in (v).
∎
8.4. One-row partitions
The special case of Theorem 8.1
for plethystic equivalences with a one-row partition
is a natural generalization of Hermite reciprocity.
It was stated as Corollary 1.7 in the introduction.
Proof of Corollary 1.7.
By definition, there is an isomorphism ∇λSymℓE≅SymaSymcE
of SL2(C)-representations if and only if
λ\tensor∗[ℓ]∼c(a).
By Theorem 8.1, this
holds if and only if λ is obtained by adding columns of length ℓ+1
to a rectangle (a′b′) and (a′,b′,c′) is a permutation of (a,b,c). After the usual reduction using Lemma 4.1
and Lemma 4.2, we may assume the plethystic equivalence is
(a′b′)\tensor∗[ℓ]∼c(a). Thus by Theorem 8.1,
(a′,b′,ℓ−b′+1) is a permutation of (a,1,c).
Considering rectangles in conjugate pairs, we see that (a′b′) is one
of (a), (1a), (c), (1c), (ac), (ca) and the equivalence
is respectively (a)\tensor∗[c]∼c(a), (1a)\tensor∗[a+c−1]∼c(a),
(c)\tensor∗[a]∼c(a), (1c)\tensor∗[a+c−1]∼c(a), (ac)\tensor∗[c]∼c(a),
(ca)\tensor∗[a]∼c(a), as required.
∎
9. Irreducible skew-Schur functions
In this section we work in the more general setting of skew Schur functions. Recall that
λ/λ⋆ is a skew partition if λ and λ⋆ are partitions
with [λ⋆]⊆[λ].
Let SSYT≤ℓ(λ/λ⋆) be
the set of semistandard tableaux of shape λ/λ⋆ with
entries in {0,1,…,ℓ}, defined as in §2.3 but
replacing [λ] with [λ]/[λ⋆].
The weight of a skew tableau t, denoted ∣t∣ is, as expected, its sum of entries.
Extending Definition 2.8 in the obvious way, the skew Schur function
sλ/λ⋆ is the symmetric function defined by
[TABLE]
Similarly, let
Seℓ(λ/λ⋆) be the subset of SSYT≤ℓ(λ/λ⋆) consisting of tableaux of weight e.
Then
[TABLE]
Definition 9.1**.**
Let ℓ∈N0 and let λ/λ⋆ be a skew-partition.
We say that sλ/λ⋆ is ℓ-irreducible if
there exists b∈N0 and m∈N0 such that sλ/λ⋆(1,q,…,qℓ)=qb(1+q+⋯+qm).
In (9.3) we show that b and m are determined
in a simple way by λ/λ⋆ and ℓ. This result and Lemma 9.7
can also be proved using
the following remark; it is not
logically essential, but should help to motivate Definition 9.1.
Remark 9.2**.**
The GL-polytabloids F(t) defined in §2.4 for tableaux t of partition shape
with entries from {0,1,…,ℓ}
generalize in the obvious way to skew partitions. Using them we may
define ∇λ/λ⋆V, where as before V=⟨v0,…,vℓ⟩
is an (ℓ+1)-dimensional complex vector space, to be the submodule
of ⨂i=1ℓ(λ)Symλi−λi⋆E
spanned by the F(t) for t a λ/λ⋆-tableau with entries
from {0,1,…,ℓ}. This defines skew Schur functors ∇λ/λ⋆
in a way that does not depend on Littlewood–Richardson coefficients, or the complete
reducibility of representations of SL2(C).
Generalizing Lemma 2.7, we have
[TABLE]
By a generalization
of the equivalence of (a) and (e) in Theorem 3.4,
sλ/λ⋆ is ℓ-irreducible in the sense of Definition 9.1
if and only if the polynomial representation
∇λ/λ⋆SymℓE of SL2(C) is irreducible.
Note that ℓ=0 is permitted in Definition 9.1
and in the previous remark.
Since sλ/λ⋆(1,q,…,qℓ) is non-zero
if and only if every column of [λ/λ⋆] has length at most ℓ+1,
the [math]-irreducible skew-partitions are precisely those with at most one box
in each column.
9.1. Irreducible skew Schur functions
In this section we state a classification of all
skew partitions λ/λ⋆ and ℓ∈N
such that sλ/λ⋆ is ℓ-irreducible.
We then deduce Corollary 1.8.
The following definition leads to a useful reduction.
Definition 9.3**.**
We say that a skew partition λ/λ⋆ is proper if λ1>λ1⋆
and λ1′>λ1⋆′.
Given a non-empty skew partition π/π⋆
one may repeatedly remove the longest rows and columns from each of π and π⋆
to obtain the Young diagram of
a unique proper skew partition λ/λ⋆ such
that [λ/λ⋆]=[π/π⋆], as illustrated
in Figure 5.
There is an obvious
bijection between
SSYT{0,…,ℓ}(π/π⋆) and
SSYT{0,…,ℓ}(λ/λ⋆). Therefore, by (9.1), we have
sπ/π⋆(1,q,…,qℓ)=sλ/λ⋆(1,q,…,qℓ).
Thus there is no loss of generality
in restricting to proper skew partitions.
Our classification in this case uses the following definition.
Definition 9.4**.**
Given a proper skew partition λ/λ⋆ with a(λ)=p,
we define the column lengths c(λ/λ⋆)∈Np by c(λ/λ⋆)j=λj′−λj⋆′ for 1≤j≤p.
We say that λ/λ⋆ is
a skew ℓ-rectangle where ℓ∈N0 if c(λ/λ⋆)1=…=c(λ/λ⋆)p=ℓ+1;
a skew 1-near rectangle of width d∈N0 if there exist y
such that
[TABLE]
and c(λ/λ⋆)j=2 if 1≤j<y
or y+d≤j≤p;
a skew ℓ-near rectangle where ℓ≥2 if
there exists z such that c(λ/λ⋆)z∈{1,ℓ}
and c(λ/λ⋆)j=ℓ+1 if 1≤j≤p and j=z.
The Young diagrams of a skew [math]-rectangle,
a skew 1-near rectangle of width 3 and a skew 2-near rectangle are
shown below; the final diagram fails
the second displayed condition in (ii), so is not a skew 1-near rectangle.
[TABLE]
We can now state the classification.
Theorem 9.5**.**
Let λ/λ⋆ be a proper skew partition.
Then sλ/λ⋆ is ℓ-irreducible
if and only if λ/λ⋆ is a skew ℓ-rectangle
or λ/λ⋆ is a skew ℓ-near rectangle.
We immediately deduce the corollary for Schur functors labelled by partitions stated in the introduction.
Proof of Corollary 1.8.
By Lemma 2.7,
∇λSymℓE≅SymnE for some n∈N0
if and only if sλ is ℓ-irreducible.
The only skew [math]-rectangles are one-part partitions.
If, as in (b), ℓ=1 and so λ is either a skew 1-rectangle,
in which case λ=(n/2,n/2) for some even n, or a skew 1-near rectangle,
in which case λ=(n−m,m), for some 1≤m≤n/2 and ℓ(λ)=2.
This gives case (i) of the corollary.
If, as in (c), ℓ≥2, then λ is either
a skew ℓ-rectangle, of the form (pℓ+1), or
a skew ℓ-near rectangle; then all but the final
column of λ has length ℓ+1 and the final
column (which may be the only column)
has length either 1 or ℓ. This gives case (ii).
∎
To prove Theorem 9.5 we need the preliminary results
in the following subsection.
9.2. Unimodality of specialized skew Schur functions
Fix a skew partition λ/λ⋆ of size n.
The minimum weight defined in
Definition 2.10 generalizes as follows to skew tableaux.
Definition 9.6**.**
We define the minimum weight of λ/λ⋆ by
[TABLE]
Equivalently, b(λ/λ⋆)=∑j=1a(λ)(2c(λ/λ⋆)j).
Observe that b(λ/λ⋆) is the weight
of the tableau t(λ/λ⋆) having entries 0,1,…λj′−1
in column j, for 1≤j≤a(λ). It is easily seen
that this tableau is semistandard and has the minimum
weight of any tableau in SSYT≤ℓ(λ/λ⋆).
Lemma 9.7**.**
The specialization
sλ/λ⋆(1,q,…,qℓ)
is unimodal and centrally symmetric about 2ℓn.
Proof.
Like any symmetric function, sλ/λ⋆ can be expressed as a
linear combination of Schur functions labelled by partitions.
The lemma therefore follows from
the ‘moreover’ part of Theorem 3.4.
∎
By Lemma 9.7 and (9.2),
sλ/λ⋆ is ℓ-irreducible if and only if
[TABLE]
Moreover, if (9.3) holds
then sλ/λ⋆(1,q,…,qℓ)=qb(λ/λ⋆)(1+q+⋯+qm) where
m=ℓn−b(λ/λ⋆).
We also obtain the following lemma.
Lemma 9.8**.**
If ∣Seℓ(λ/λ⋆)∣<∣Se+1ℓ(λ/λ⋆)∣
then e<2ℓn.
Proof.
This is immediate from the unimodality property in
Lemma 9.7 and (9.2).
∎
9.3. Bumping and the proof of Theorem 9.5
Definition 9.9**.**
Given t∈SSYT≤ℓ(λ/λ⋆)
and a box (i,j)∈[λ/λ⋆], we define the bump of t in box (i,j)
to be the λ/λ⋆-tableau t+ that agrees with t except in this box,
where t(i,j)+=t(i,j)+1. We say that t is bumpable in box (i,j)
if t+∈SSYT≤ℓ(λ/λ⋆).
Equivalently, t is bumpable in box (i,j) if and only if t(i,j)<ℓ,
and increasing the entry of t in position (i,j) by 1 does not violate the semistandard condition.
The following example shows the use of Definition 9.9 in the harder ‘only if’ part of the proof
of Theorem 9.5.
Example 9.10**.**
Let ℓ=3. Suppose that λ/λ⋆=(34,1)/(2), so λ/λ⋆
is a skew 3-near rectangle. Then
b(λ/λ⋆)=15 and
[TABLE]
are the unique tableaux in \mathcal{S}_{e}^{3}\bigl{(}(3^{4},1)/(2)\bigr{)} for
e∈{15,16,17,18}.
The first tableau is t(λ/λ⋆), and the rest
are obtained by successive bumps in positions (4,2), (3,2) and (2,2).
By (9.3), s(34,1)/(2) is 3-irreducible.
Suppose instead that λ/λ⋆=(34,12)/(22). Then
b(λ/λ⋆)=13 and
[TABLE]
are the unique tableaux in \mathcal{S}_{e}^{3}\bigl{(}(3^{4},1^{2})/(2^{2})\bigr{)} for e∈{13,14},
and the two tableaux in \mathcal{S}_{15}^{3}\bigl{(}(3^{4},1^{2})/(2^{2})\bigr{)}.
Again the first tableau is t(λ/λ⋆). The second is its bump
in position (4,2), and the third and fourth both of weight
∣t(λ/λ⋆)∣+2 are the bumps of the second
in positions (3,2) and (4,2), respectively.
Since the condition in (9.3) fails, s(34,12)/(22) is not 3-irreducible.
Note that, as implied
by Lemma 9.8, b(λ/λ⋆)+1<2ℓn.
Sufficiency
To illuminate the condition in Theorem 9.5,
we prove a slightly stronger result.
Lemma 9.11**.**
If λ/λ⋆ is a skew ℓ-rectangle,
a skew 1-near rectangle, or a skew ℓ-near rectangle where ℓ≥2 then
sλ/λ⋆ is ℓ-irreducible. Moreover,
sλ/λ⋆(1,q,…,qℓ) is respectively
qℓn/2, qb(λ)+qb(λ)+1+⋯+qb(λ)+d
and qb(λ)+qb(λ)+1+⋯+qb(λ)+ℓ.
Proof.
Write c for c(λ/λ⋆)∈Np.
If λ/λ⋆ is a skew ℓ-rectangle
then c=(ℓ+1,…,ℓ+1) and b(λ)=p(2ℓ+1)=pℓ(ℓ+1)/2=2ℓn,
so (9.3) obviously holds. By (9.2),
sλ/λ⋆(1,q,…,qℓ)=qℓn/2.
Suppose that ℓ=1 and λ/λ⋆ is a skew 1-near rectangle of width d.
Let y be as in Definition 9.4,
so cy=…=cy+d−1=1 and cj=2 if 0≤j<y or y+d≤j≤p.
The minimum weight tableau t(λ/λ⋆) has
entries of [math] in the boxes (1,y),…,(1,y+d−1);
all other boxes are in a column j with cj=2, having entries [math] and 1.
More generally,
for each k such that 0≤k≤d, the unique
tableau in SSYT≤1(λ/λ⋆) of weight b(λ/λ⋆)+k
has entries of [math] in the boxes (1,y),…,(1,y+d−k−1) and entries
of 1 in the boxes (1,y+d−k),…,(1,y+d−1).
Hence (9.3) holds.
By (9.2),
sλ/λ⋆(1,q)=qb(λ/λ⋆)+qb(λ/λ⋆)+1+⋯+qb(λ/λ⋆)+d.
Now suppose that ℓ≥2 and that λ/λ⋆ is a skew ℓ-near rectangle.
Let z be unique such that cz∈{1,ℓ}.
Let t∈SSYT≤ℓ(λ/λ⋆).
If j=z then since cj=ℓ+1, the entries in column j of t
are 0,…,ℓ, and t agrees with t(λ/λ⋆) in these columns.
We now consider the two cases for cz.
When cz=1 the unique entry in column k of t
is determined by ∣t∣.
Moreover ∣t∣ takes all values in {b(λ),…,b(λ)+ℓ}
so by (9.2),
sλ/λ⋆(1,q,…,qℓ)=qb(λ/λ⋆)+qb(λ/λ⋆)+1+⋯+qb(λ/λ⋆)+ℓ.
In particular (9.3) holds.
When cz=ℓ, we have b(λ)=(p−1)(2ℓ+1)+(2ℓ)=pℓ(ℓ+1)/2−ℓ and 2ℓn=pℓ(ℓ+1)/2−ℓ/2.
Let b∈{0,1,…,ℓ}. The unique tableau in
SSYT≤ℓ(λ/λ⋆) of weight b(λ)+b
has entries {0,…,ℓ}\{ℓ−b} in column z.
Thus again (9.3) holds. A similar argument to (i)
shows that sλ(1,q,…,qℓ) has the
required ℓ+1 summands. ∎
Necessity
The following lemma implies that if sλ/λ⋆ is ℓ-irreducible
then t(λ/λ⋆) has at most one bumpable box.
Lemma 9.12**.**
Let B be the number of boxes (i,j)∈[λ/λ⋆] such that t(λ/λ⋆)
is bumpable in box (i,j). If B≥2 then
∣Sb(λ/λ⋆)+1ℓ(λ/λ⋆)∣=B and
b(λ/λ⋆)<2ℓn.
Proof.
The first equality is immediate from the definition of bumpable in Definition 9.9.
The inequality b(λ/λ⋆)<2ℓn now follows by
taking e=b(λ)
in Lemma 9.8.
∎
Proposition 9.13**.**
Let λ/λ⋆
be a proper skew partition.
If sλ/λ⋆ is ℓ-irreducible then
either
c(λ/λ⋆)=(ℓ+1,…,ℓ+1)* or*
there exists
k<ℓ such that
c(λ/λ⋆)=(ℓ+1,…,ℓ+1,k+1,…,k+1,ℓ+1,…,ℓ+1)
and λ′ is constant in the positions in which c(λ/λ⋆) is k+1.
Proof.
Suppose that sλ/λ⋆ is ℓ-irreducible.
Since sλ/λ⋆(1,q,…,qℓ)=0,
the minimum weight tableau
t(λ/λ⋆) has entries in {0,…,ℓ}, and so c(λ/λ⋆)j≤ℓ+1
for each j.
By Lemma 9.12,
t(λ/λ⋆) is bumpable in at most one box. If (i) does not hold then
there exists a column j such that c(λ/λ⋆)j≤ℓ.
Take y minimal with this
property and let z be greatest such that
c(λ/λ⋆)y=…=c(λ/λ⋆)z. Thus
[TABLE]
Either (λz′,z+1)∈[λ/λ⋆]
or c(λ/λ⋆)z+1>c(λ/λ⋆)z.
In either case t(λ/λ⋆) is bumpable in the box
(λz′,z).
Since λ′ is a partition, λy′≥…≥λz′.
Suppose that λj′>λj+1′ where y≤j<z. Then (λj′,j+1)∈[λ/λ⋆]
so t(λ/λ⋆) is bumpable in the box (λj′,j), as well as in
the box (λz′,z), a contradiction. Therefore λy′=…=λz′.
If there exists a column j such that c(λ/λ⋆)j≤ℓ
and j∈{y,…,z} then repeating this argument gives
another box in which t(λ/λ⋆) is bumpable, again a contradiction. Therefore
c(λ/λ⋆) is as claimed in (ii).
∎
Proof of Theorem 9.5.
We have already shown the condition is sufficient.
Suppose that sλ/λ⋆ is ℓ-irreducible but λ/λ⋆ is not a skew ℓ-rectangle and that
λ/λ⋆ is not a skew ℓ-near rectangle.
By Proposition 9.13, there exists y, z∈{1,…,p}
and k<ℓ such that
c1=…=cy−1=ℓ+1, cy=…=cz=k+1,
cz+1=…=cp=ℓ+1 and
λy′=…=λz′.
If ℓ=1 then λ/λ⋆
is a 1-near rectangle, as required.
Suppose that ℓ≥2. Note that t(λ/λ⋆)(λz′,z)=k
and that (λz′,z) is the unique box in which t(λ/λ⋆) is bumpable.
Let u be the bump of t(λ/λ⋆) in this box; thus
Sb(λ/λ⋆)+1ℓ(λ/λ⋆)={u}.
We consider three cases.
Suppose that 1≤k<ℓ−1. (This is the case in the second
example in Example 9.10.) Since u(λz′,z)=k+1<ℓ
and either
u(λz′,z+1)=ℓ or (λz′,z+1)∈[λ/λ⋆],
u is bumpable in position
(λz′,z). Similarly, either
u(λz′−1,z+1)≥ℓ−1 or (λz′−1,z+1)∈[λ/λ⋆].
Therefore
u is bumpable in box (λz′−1,z).
Thus ∣Sb(λ/λ⋆)+2ℓ(λ/λ⋆)∣≥2 and
since ∣Sb(λ/λ⋆)+1ℓ(λ/λ⋆)∣=1, it follows
from Lemma 9.8 that b(λ/λ⋆)+1<2ℓn.
Therefore (9.3) does not hold.
Suppose that k=ℓ−1. Since λ/λ⋆ is not a
skew ℓ-near rectangle, we have y<z.
As in (a), u is bumpable
in position (λz′−1,z).
Moreover, since λz−1′=λz′ and cz−1=cz,
we have u(λz−1′,z−1)=ℓ−1 and so u is bumpable in position (λz−1′,z−1).
Thus ∣Sb(λ/λ⋆)+2ℓ(λ/λ⋆)∣≥2 and as in (a)
we conclude that (9.3) does not hold.
Suppose k=0. Then u(λz′,z)=1 and box (λz′,z) is bumpable as ℓ≥2. But if
y<z then box (λz′,z−1) is also bumpable in u, giving that ∣Sb(λ/λ⋆)+2ℓ(λ/λ⋆)∣≥2 and (9.3) again fails to hold.
This completes the proof.
∎
10. Two row, two column and hook equivalences
We say that a partition of hook shape (a+1,1b) is proper if a, b∈N.
Theorem 10.1**.**
Let λ and μ be partitions that each, separately,
have either precisely two rows, precisely two columns or are of proper hook shape.
Let ℓ, m∈N be such that ℓ≥ℓ(λ) and m≥ℓ(μ).
Then all plethystic equivalences λ\tensor∗[ℓ]∼mμ are
listed in one of the cases in
Table 1.
Proof.
The proofs for each family in Table 1 are similar.
We illustrate the method by finding all
plethystic equivalences between a two-row non-hook partition
λ=(a,b) and a proper hook
μ=(c+1,1d).
By our assumption,
ℓ≥2 and m≥d+1.
By Lemma 4.2 and Theorem 1.3
we may assume that c≥d.
By Theorem 3.4(h), λ\tensor∗[ℓ]∼mμ if and only if
there is an equality of multisets
(C(λ)+ℓ+1)∪H(μ)=(C(μ)+m+1)∪H(λ). Equivalently,
[TABLE]
Comparing the greatest element of each side as in Proposition 4.7
shows that if equality holds then
ℓ+a=m+c+1, that is m=ℓ+a−c−1. Substituting for m using this relation, and
inserting a−b+1 into each multisubset,
we find that λ\tensor∗[ℓ]∼ℓ+a−c−1μ if and only if
[TABLE]
Firstly consider the case when a−c−d≥1.
We may cancel the
elements ℓ+a−c−d,…,ℓ+a from each side to get that
λ\tensor∗[ℓ]∼ℓ+a−c−1μ if and only if
[TABLE]
We claim that this multiset equality implies a−c−d≤b. Indeed, if a−c−d>b then,
on the left hand side, ℓ+1≤ℓ+b−1<ℓ+a−c−d−1.
Therefore the multiplicity of ℓ+b−1 is two, and comparing with the multiset on the right shows
that ℓ=1, contrary to our initial assumption.
As a−c−d≤b, we may
compare greatest elements of the above multisets to show that a+1=ℓ+b−1,
that is ℓ=a−b+2. We substitute for ℓ using this relation
and cancel the elements
[TABLE]
from each side to reduce to
[TABLE]
Since c+d+1≥c+2≥d+2, for the multiset on the left to equal a union of two intervals
each containing 1, we must have c=a−b+2 and d=a−b.
Then we have an equality of multisets if and only if c+d+1=b.
We obtain the case with c≥d in (k), namely
[TABLE]
In the remaining case a−c−d≤0, and so c+d≥a≥b.
We cancel the elements ℓ+1,…,ℓ+a from each side in (10.1)
to see that λ\tensor∗[ℓ]∼ℓ+a−c−1μ if and only if
[TABLE]
Since b≥2, the element ℓ+1 lies in the left hand side.
Hence the greatest element of the right hand side is a+1 rather than ℓ.
But a+1≤c+d+1 which appears on the left;
hence a=c+d, and on the right {ℓ+a−c−d,…,ℓ}={ℓ}.
After cancelling {ℓ,c+d+1}={ℓ,a+1}
from each side, the multiset equation becomes
[TABLE]
Since b≥2, and c+d is in the right-hand side, if equality holds then
the greatest element on the left-hand side
is not c+d−b+1. Hence it is
ℓ+b−1=c+d and
[TABLE]
Either c+d−b+1=c+1 and d=b, or c+d−b+1=d+1 and c=b.
Using that a=c+d we have c=a−b, d=b or c=b, d=a−b, respectively.
The corresponding plethystic equivalences are
(a,b)\tensor∗[a−b+1]∼a(a−b+1,1b)
and
(a,b)\tensor∗[a−b+1]∼2(a−b)(b+1,1a−b),
respectively, as in (j).
∎
We remark that the
Haskell [25] software HookContent.hs available
from the second author’s website222See www.ma.rhul.ac.uk/~uvah099/
was used to discover many of the equivalences appearing in Table 1.
It has also been used to verify the more fiddly part of the authors’ proof,
by showing that every plethystic equivalence between two partitions of the types
above, each of size at most 30, appears in our classification.
Finally we observe that
it follows from Proposition 3.6 and elementary number-theoretic arguments
that the only plethystic equivalences in Table 1 involving distinct partitions
that lift to isomorphisms of GL2(C)-representations are the infinite families
[TABLE]
for d>2 from the second case in (j),
and
\bigl{(}b(b-1),b(b-1)\bigr{)}\!\tensor*[_{b+1\hskip 1.0pt}]{\sim}{{}_{b^{2}-1}}\hskip-0.5pt(2^{b}) for b>2
from (o).
11. Equal degree equivalences
Let λ be a partition. By Theorem 1.5 we have λ\tensor∗[ℓ]∼ℓλ∘(ℓ+1)
for any ℓ≥ℓ(λ), where λ∘(ℓ+1) denotes the complement
of λ in the (ℓ+1)×a(λ) box.
We say that a plethystic equivalence λ\tensor∗[ℓ]∼ℓμ, where
ℓ≥ℓ(μ), is exceptional
if λ=μ and λ∘(ℓ+1)=μ.
Thus Theorem 1.10 asserts that there are exceptional equivalences if and only
if ℓ≥5.
11.1. Ruling out exceptional equivalences
To prove Theorem 1.10(a) we use Theorem 3.4(i), that
λ\tensor∗[ℓ]∼ℓμ if and only if Δℓ(λ)=Δℓ(μ).
Recall that the differences δ(λ)j=λj−λj+1+1
and the multiset Δℓ(λ)={δ(λ)j+⋯+δ(λ)k−1:1≤j<k≤ℓ+1}
were defined in Definition 2.13.
From the definition of λ∘r before Theorem 1.5,
we have
[TABLE]
and so the difference sequence \bigl{(}\delta(\lambda^{\circ(\ell+1)})_{1},\ldots,\delta(\lambda^{\circ(\ell+1)})_{\ell}\bigr{)} for λ∘(ℓ+1) is
the reverse of the difference sequence \bigl{(}\delta(\lambda)_{1},\ldots,\delta(\lambda)_{\ell}\bigr{)} for λ. Thus, as expected, the multisets Δℓ(λ)
and Δℓ(λ∘(ℓ+1)) agree.
For the small ℓ cases, it is surprisingly useful that
this multiset determines the
minimum weight b(λ) defined in Definition 2.10.
To prove this we use the following statistic: let
[TABLE]
Lemma 11.1**.**
Let λ be a partition of n such that ℓ≥ℓ(λ). Then −2ℓn+b(λ)=−d(λ).
Proof.
We have λi=δi(λ)+⋯+δℓ(λ)−(ℓ−i+1)
for 1≤λ≤ℓ.
Hence the coefficient of δ(λ)j in ∑i=1ℓλi
is j and we have
[TABLE]
Similarly, since b(λ)=∑i=1ℓ(i−1)λi, the coefficient
of δ(λ)j in b(λ) is ∑i=1j(i−1)=(2j) and, using
∑i=1ℓ(i−1)(ℓ−i+1)=∑k=1ℓ−1k(ℓ−k)=21ℓ2(ℓ−1)−61ℓ(ℓ−1)(2ℓ−1)=(3ℓ+1)
we have
[TABLE]
The result now follows from the two displayed equations.
∎
Proof of Theorem 1.10(a).
By Theorem 3.4(i)
if λ\tensor∗[ℓ]∼ℓμ then
Δℓ(λ)=Δℓ(μ).
By the final part of this theorem,
−2ℓ∣λ∣+b(λ)=−2ℓ∣μ∣+b(μ).
Hence by Lemma 11.1,
we also have d(λ)=d(μ).
For 1≤j≤ℓ, let
δj=δ(λ)j and let εj=δ(μ)j.
Observe that the greatest elements of Δℓ(λ)
and Δℓ(μ) are δ1+⋯+δℓ=λ1+ℓ and
ε1+⋯+εℓ=μ1+ℓ, respectively.
Hence, as also follows from Proposition 4.7, we have
[TABLE]
If ℓ=1 then λ1=δ1=ε1=μ1 and λ=μ as required.
If ℓ≥2 then
the least two elements of Δℓ(λ) are δc and δc′
for some distinct c and c′, and similarly for Δℓ(μ).
Hence the multisubsets of the least two elements in Δℓ(λ)
and Δℓ(μ) agree.
Suppose that ℓ=2. We have just seen that
{δ1,δ2}={ε1,ε2}. This is the case
if and only if λ=μ
or λ=μ∘3.
Suppose that ℓ=3. The multisets {δ1,δ2,δ3}
and {ε1,ε2,ε3} have the same least two elements,
and, by (11.1), the same sum. Hence they are equal.
By Lemma 11.1,
3δ1+4δ2+3δ3=3ε1+4ε2+3ε3. Hence, again using (11.1), we
have δ2=ε2. Now either δ1=ε1,
and so (δ1,δ2,δ3)=(ε1,ε2,ε3)
and λ=μ, or δ1=ε3 and so
(δ1,δ2,δ3)=(ε3,ε2,ε1) and
λ=μ∘4.
Suppose that ℓ=4. By replacing λ and μ with their complements
if necessary, we may assume that δ1≤δ4 and ε1≤ε4.
By Lemma 11.1,
2δ1+3δ2+3δ3+2δ4=2ε1+3ε2+3ε3+2ε4. Hence by (11.1) we have
[TABLE]
Since δ1≤δ4,
after δ1+δ2+δ3+δ4, the second greatest
element of Δ4(λ) is δ2+δ3+δ4.
Similarly the second greatest element of Δ4(μ) is ε2+ε3+ε4. Therefore δ1=ε1 and so by (11.2), δ4=ε4.
Cancelling the equal elements δ2+δ3=ε2+ε3,
δ1+δ2+δ3=ε1+ε2+ε3,
δ2+δ3+δ4=ε2+ε3+ε4 and
δ1+δ2+δ3+δ4=ε1+ε2+ε3+ε4
from the multisets Δ4(λ) and Δ4(μ) we obtain
[TABLE]
The least element on the left is either δ2 or δ3, and the least
element on the right is either ε2 or ε3.
If δ2=ε2 then from (11.2) we get δ3=ε3.
Hence (δ1,δ2,δ3,δ4)=(ε1,ε2,ε3,ε4)
and λ=μ. A symmetric argument, swapping 2 and 3, applies if δ3=ε3.
In the remaining case we may suppose, by swapping λ and μ if necessary,
that δ2=ε3. From (11.2) we get δ3=ε2.
Hence (δ1,δ2,δ3,δ4)=(ε1,ε3,ε2,ε4).
From (11.3) we now get {δ1+δ2,δ3+δ4}={δ1+δ3,δ2+δ4}. Hence either δ2=δ3 and λ=μ or
δ1=δ4 and λ=μ∘5.
∎
11.2. Existence of exceptional equivalences
To prove Theorem 1.10(ii)
we use the pyramid notation seen in Example 2.16, applied
to the following partitions.
Definition 11.2**.**
For m, ℓ∈N0 with ℓ≥5 we define λℓm and μℓm by
[TABLE]
The partition μ60 is the lexicographically least partition in
an exceptional equivalence when ℓ=6. The other partitions were discovered
by a computer search using the software already mentioned.
The special case ℓ=5 and m=0
of the following proposition was seen
in Example 2.16.
Proposition 11.3**.**
*For all m∈N0 and ℓ≥5 there is an exceptional equivalence λℓm\tensor∗[ℓ]∼ℓμℓm.
*
Proof.
It is clear from Definition 11.2
that λℓm=μℓm for
any ℓ and m. Moreover,
since the second part in each μℓm
is strictly smaller than a(μℓm),
each partition μℓm∘(ℓ+1) has precisely ℓ parts.
Since each partition λℓm has precisely ℓ−1 parts,
it follows that λℓm=μℓm∘(ℓ+1)
for any k and ℓ.
To proceed further, it is most convenient to work with
the complementary partitions ηℓm=μℓm∘(ℓ+1).
By Theorem 1.5 and Theorem 3.4(i), it suffices
to prove that Δℓ(λℓm)=Δℓ(ηℓm) for
all ℓ and m.
For small ℓ this is a routine verification using the pyramid notation seen
in Example 2.16.
To illustrate
the method we take ℓ=8. It will be useful to say that a pyramid entry
involves m if it of the form c+m for some c∈N.
The difference sequences for λℓm and ηℓm are
[TABLE]
respectively.
When ℓ=8,
the corresponding pyramids are
[TABLE]
Note that the entries involving m lie in the same positions. This helps one to see that
in either case the multiset of pyramid entries is
[TABLE]
Similarly one can check that Δℓ(λℓk)=Δℓ(ηℓk)
for all k∈N0 and all ℓ such that 5≤ℓ≤18. This can be done programmatically
using the Mathematica [14]
notebook ExceptionalEquivalences.nb available from the second author’s website.
For the generic case when ℓ≥18
we partition the pyramids P and Q for λℓm
and ηℓm as shown in Figure 6. Using the calculation rule from §2.7 one finds that
the first 8
rows of the pyramid P for λℓm are
[TABLE]
where in each case the notation c…mc indicates m consecutive entries of c.
Similarly, the first 8 rows of the pyramid Q for ηmℓ are
[TABLE]
Observe that if r≤5 then the multisets of entries of P and Q in row r not involving m
are the same. Moreover, it is easily proved by induction
on r that if 6≤r≤ℓ−9 then the entries of P and Q in row r not involving m
are r+2,r…ℓ−8−rr,r+1,r+1
and r+1,r+1,r…ℓ−8−rr,r+2, respectively.
As can be seen from Figure 6, the remaining entries in P and Q
not involving m lie in rows ℓ−9, ℓ−8, ℓ−7 and ℓ−6
and columns 7, 8, 9, 10. They are
[TABLE]
where the first two rows shows the known entries from rows ℓ−11, ℓ−10
needed to compute the following rows. Three exceptional entries are highlighted.
Again the multisets of entries
agree row by row. Hence the multisets of entries in P and Q
agree on entries not involving m.
We note for later use that, from the pyramids immediately above,
[TABLE]
and P7(ℓ−7)=ℓ−4, P7(ℓ−6)=ℓ−3,
Q7(ℓ−7)=ℓ−6 and Q7(ℓ−6)=ℓ−3.
We now consider entries involving m.
For 1≤r≤ℓ, let P(r)+m and Q(r)+m
be the multisets of entries in row r of P and Q
involving m.
Comparing the 33 entries involving m in rows r for 1≤r≤8 (region A in Figure 6)
we find that
[TABLE]
If 8≤r≤ℓ−6 then the entries involving k
in row r are precisely those in region B, lying in the first six columns of the pyramids.
Let p(r) and q(r) be the 6-tuples
defined by pj(r)=Pj(r)−m and
qj(r)=Qj(r)−m, respectively.
An induction on r,
using (11.4) to find the entries in column 6,
shows that if 8≤r≤ℓ−7 then
[TABLE]
(We stop at ℓ−7 because of the exceptional entry P7(ℓ−7).)
The corresponding difference multiset is {4,2,2,2}/{3,3,3,1}+r. We now claim that
[TABLE]
for 8≤s≤ℓ−7. Indeed, when s=8 this follows from (11.5), and
the inductive step is immediate from
\bigl{(}\{4,2\}/\{3,3\}+s\bigr{)}\cup\bigl{(}\{4,2,2,2\}/\{3,3,3,1\}+s+1\bigr{)}=\{4,2\}/\{3,3\}+(s+1). Using the exceptional
entries P7(ℓ−7)=ℓ−4 and Q7(ℓ−7)=ℓ−3 seen after (11.4),
we have p(r)=(4+r,3+r,2+r,2+r,2+r,3+r)
and q(r)=(3+r,3+r,3+r,3+r,2+r,1+r) when r=ℓ−6.
The corresponding difference multiset is {4,2,2}/{3,3,1}+ℓ−6.
Therefore, by (11.6),
[TABLE]
The final six rows of the pyramids (region C) are, with the constant factor +m removed,
[TABLE]
respectively. The corresponding difference multiset is
{ℓ−3}/{ℓ−2}.
Hence the multisets of entries involving m in P and Q are the same.
∎
We end by remarking that, by Proposition 3.6,
an exceptional equivalence λ\tensor∗[ℓ]∼ℓμ
lifts to an isomorphism ∇λSymℓE≅∇μSymμE
of representations of GL(E) if and only if ∣λ∣=∣μ∣.
A computer search shows that, by
size of partitions, the smallest such example is
[TABLE]
between two partitions of 30.
As a curiosity, we note that 146 of the 493 exceptional equivalences λ\tensor∗[ℓ]∼ℓμ
between partitions λ and μ
of size at most 35 have ℓ=8. Next most frequent are ℓ=11 with 99 equivalences and ℓ=14 with 56 equivalences.
12. Solitary partitions
Definition 12.1**.**
A partition λ is solitary if
whenever λ\tensor∗[ℓ]∼mμ
with ℓ≥ℓ(λ) and m≥ℓ(μ), we have
ℓ=m and either μ=λ or μ=λ∘(ℓ+1).
By Theorem 1.5, the equivalences in Definition 12.1
exist for any partition. The solitary partitions
are therefore those with the fewest possible prime plethystic equivalences.
Using Theorem 1.5, Theorem 1.11 reduces to the following proposition.
Recall that δ(k)=(k,k−1,…,1).
Proposition 12.2**.**
For each k∈N, the partition δ(k) is solitary.
Proof.
Suppose that δ(k)\tensor∗[ℓ]∼mμ where ℓ≥k and m≥ℓ(μ)
and that μ=δ(k).
Using
the difference multiset notation from §3.1, Theorem 3.4(h)
implies that
[TABLE]
Let u be the number of boxes (i,j)∈[μ] such that h(i,j)(μ)=2;
we say that such boxes are 2-hooks.
Since all the hook lengths in δ(k) are odd, the multiplicity of 2
in the right-hand side is u.
By Lemma 4.4, μ has precisely k removable boxes.
Since μ=δ(k), μ has at least one 2-hook, and so u≥1.
For any partition ν and n such that n≥ℓ(ν), we have
2∈C(ν)+n+1 if and only if n=ℓ(ν); in this
case the multiplicity is 1. Therefore u≤1 and we conclude that μ
has a unique 2-hook. Moreover, m=ℓ(μ) and ℓ>k.
To identify ℓ we use Proposition 4.7 to get
a\bigl{(}\delta(k)\bigr{)}+l=a(\mu)+m. (Or one may follow the proof of this proposition
and instead compare greatest elements in (12.1).) Hence l=a(μ)+m−k.
Since μ has a unique 2-hook and precisely k removable boxes,
it is obtained from δ(k) by inserting
either (i) d new columns or (ii) d new rows of a fixed
length c≤k. We consider these cases separately below. Observe that in either case the greatest hook length in either
μ or δ(k) is (k+d−1)+(k−1)+1=2k+d−1, coming uniquely from the box (1,1) of μ.
Hence 2k+d−1 has multiplicity 1 in the right-hand side of (12.1).
In this case a(μ)=k+d and ℓ(μ)=k. Hence m=k and ℓ=k+d.
In C(μ)+m+1, the greatest element is (k+d−1)+(m+1)=2k+d and, since μ1>μ2,
the next greatest element is (k+d−1−1)+(m+1)=2k+d−1, also with multiplicity
1. In C\bigl{(}\delta(k)\bigr{)}+\ell+1, the second greatest element is
(k−1−1)+(ℓ+1)=2k+d−1, again with multiplicity 1. Therefore
2k+d−1 has multiplicity [math] in the left-hand side of (12.1), a contradiction.
In this case a(μ)=k and ℓ(μ)=k+d. Hence m=k+d and ℓ=m.
A similar argument considering the multiplicity of 2k+d−1 in
the left-hand side of (12.1) shows that 2k+d−1 must appear with multiplicity 2
in C(μ)+m+1. Hence μ1=μ2 and c=k. This shows that μ is the complement
of δ(k) in the box with k+d+1 rows; that is μ=δ(k)∘(ℓ+1).
This completes the proof.
∎