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Stuttering multipartitions and blocks of ArikiKoike algebras Salim - - PowerPoint PPT Presentation

Stuttering multipartitions and blocks of ArikiKoike algebras Salim Rostam Univ Rennes 17/04/2019 82nd Sminaire Lotharingien de Combinatoire and 9th Combinatorics Days Motivations 1 A theorem in combinatorics 2 Tools for the proof 3


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SLIDE 1

Stuttering multipartitions

and blocks of Ariki–Koike algebras Salim Rostam

Univ Rennes

17/04/2019

82nd Séminaire Lotharingien de Combinatoire and 9th Combinatorics Days

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SLIDE 2

1

Motivations

2

A theorem in combinatorics

3

Tools for the proof

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SLIDE 3

Motivations

Let HX

n be a Hecke algebra of type X ∈ {B, D}.

If HB

n is semisimple, its irreducible representations are indexed

by the bipartitions {(λ, µ)} of n.

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SLIDE 4

Motivations

Let HX

n be a Hecke algebra of type X ∈ {B, D}.

If HB

n is semisimple, its irreducible representations are indexed

by the bipartitions {(λ, µ)} of n. In this case, by Clifford theory the irreducible HD

n -modules are

exactly the irreducible summands in the restrictions Dλ,µ

  • HB

n

HD

n

. The number of these irreducible summands entirely depends whether λ = µ or λ = µ.

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SLIDE 5

Motivations

Let HX

n be a Hecke algebra of type X ∈ {B, D}.

If HB

n is semisimple, its irreducible representations are indexed

by the bipartitions {(λ, µ)} of n. In this case, by Clifford theory the irreducible HD

n -modules are

exactly the irreducible summands in the restrictions Dλ,µ

  • HB

n

HD

n

. The number of these irreducible summands entirely depends whether λ = µ or λ = µ. The theory of cellular algebras gives a general framework to construct Specht and irreducible modules. The algebra HB

n is

cellular, with Specht modules {Sλ,µ}.

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SLIDE 6

Motivations

Let HX

n be a Hecke algebra of type X ∈ {B, D}.

If HB

n is semisimple, its irreducible representations are indexed

by the bipartitions {(λ, µ)} of n. In this case, by Clifford theory the irreducible HD

n -modules are

exactly the irreducible summands in the restrictions Dλ,µ

  • HB

n

HD

n

. The number of these irreducible summands entirely depends whether λ = µ or λ = µ. The theory of cellular algebras gives a general framework to construct Specht and irreducible modules. The algebra HB

n is

cellular, with Specht modules {Sλ,µ}. To each Sλ,µ corresponds a block of HB

n , entirely determined by α := α(λ, µ). We define

σ · α := α(µ, λ).

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SLIDE 7

Motivations

Let HX

n be a Hecke algebra of type X ∈ {B, D}.

If HB

n is semisimple, its irreducible representations are indexed

by the bipartitions {(λ, µ)} of n. In this case, by Clifford theory the irreducible HD

n -modules are

exactly the irreducible summands in the restrictions Dλ,µ

  • HB

n

HD

n

. The number of these irreducible summands entirely depends whether λ = µ or λ = µ. The theory of cellular algebras gives a general framework to construct Specht and irreducible modules. The algebra HB

n is

cellular, with Specht modules {Sλ,µ}. To each Sλ,µ corresponds a block of HB

n , entirely determined by α := α(λ, µ). We define

σ · α := α(µ, λ). If λ = µ then σ · α = α. If σ · α = α, does there necessarily exist ν such that α = α(ν, ν)?

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SLIDE 8

Motivations

Let HX

n be a Hecke algebra of type X ∈ {B, D}.

If HB

n is semisimple, its irreducible representations are indexed

by the bipartitions {(λ, µ)} of n. In this case, by Clifford theory the irreducible HD

n -modules are

exactly the irreducible summands in the restrictions Dλ,µ

  • HB

n

HD

n

. The number of these irreducible summands entirely depends whether λ = µ or λ = µ. The theory of cellular algebras gives a general framework to construct Specht and irreducible modules. The algebra HB

n is

cellular, with Specht modules {Sλ,µ}. To each Sλ,µ corresponds a block of HB

n , entirely determined by α := α(λ, µ). We define

σ · α := α(µ, λ). If λ = µ then σ · α = α. If σ · α = α, does there necessarily exist ν such that α = α(ν, ν)? The above problem appears when studying the cellularity of HD

n .

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SLIDE 9

1

Motivations

2

A theorem in combinatorics

3

Tools for the proof

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SLIDE 10

Bipartitions

Definition A partition is a finite non-increasing sequence of positive integers. We can picture a partition with its Young diagram. Example The sequence (4, 2, 2, 1) is a partition and its Young diagram is .

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Bipartitions

Definition A partition is a finite non-increasing sequence of positive integers. We can picture a partition with its Young diagram. Example The sequence (4, 2, 2, 1) is a partition and its Young diagram is . Definition A bipartition is a pair of partitions. Example The pair

  • (5, 1), (2)
  • is a bipartition, constructed with the

partitions (5, 1) and (2).

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Multiset of residues

Let η be a positive integer and set e := 2η. Definition The multiset of residues of the bipartition (λ, µ) is the part of 1 2 . . . −1 0 1 . . . −2 −1 0 . . . . . . . . . . . . ... η

η+1 η+2 . . . η−1 η η+1 . . . η−2 η−1 η . . .

. . . . . . . . . ... (mod e), corresponding to the Young diagram of (λ, µ).

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SLIDE 13

Multiset of residues

Let η be a positive integer and set e := 2η. Definition The multiset of residues of the bipartition (λ, µ) is the part of 1 2 . . . −1 0 1 . . . −2 −1 0 . . . . . . . . . . . . ... η

η+1 η+2 . . . η−1 η η+1 . . . η−2 η−1 η . . .

. . . . . . . . . ... (mod e), corresponding to the Young diagram of (λ, µ). Example The multiset of residues of the bipartition

  • (5, 1), (2)
  • is given for

e = 4 by

0 1 2 3 0 3 2 3 .

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SLIDE 14

Residues multiplicity and shift

Let e = 2η ∈ 2N∗. If (λ, µ) is a bipartition, write α(λ, µ) ∈ Ne for the e-tuple of multiplicities of the multiset of residues. Example The multiset of residues of the bipartition

  • (4, 2), (1)
  • for e = 6

is

0 1 2 3 5 0 3 , thus α

  • (4, 2), (1)
  • = (2, 1, 1, 2, 0, 1).
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SLIDE 15

Residues multiplicity and shift

Let e = 2η ∈ 2N∗. If (λ, µ) is a bipartition, write α(λ, µ) ∈ Ne for the e-tuple of multiplicities of the multiset of residues. Example The multiset of residues of the bipartition

  • (4, 2), (1)
  • for e = 6

is

0 1 2 3 5 0 3 , thus α

  • (4, 2), (1)
  • = (2, 1, 1, 2, 0, 1).

Definition (Shift) For α = (αi) ∈ Ne, we define σ · α ∈ Ne by (σ · α)i := αη+i. We have σ · α = (αη, αη+1, . . . , αe−1, α0, α1, . . . , αη−1).

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SLIDE 16

Stutterness

Proposition We have α(µ, λ) = σ · α(λ, µ). In particular, if α := α(λ, λ) then σ · α = α.

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Stutterness

Proposition We have α(µ, λ) = σ · α(λ, µ). In particular, if α := α(λ, λ) then σ · α = α. Theorem (R.) Let (λ, µ) be a bipartition and let α := α(λ, µ) ∈ Ne. If σ · α = α then there exists a partition ν such that α = α(ν, ν).

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SLIDE 18

Stutterness

Proposition We have α(µ, λ) = σ · α(λ, µ). In particular, if α := α(λ, λ) then σ · α = α. Theorem (R.) Let (λ, µ) be a bipartition and let α := α(λ, µ) ∈ Ne. If σ · α = α then there exists a partition ν such that α = α(ν, ν). Example Take e = 6. The multisets

5 3 4 5 2 3 1 2

, and

0 1 2 3 5 3 4 5 0 2

, coincide (and α = (2, 1, 2, 2, 1, 2)).

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SLIDE 19

Proof by example

We have α( , ) = (2, 1, 2, 2, 1, 2).

0 1 2 5 0 4 5 3 3 4 5 2 3 1 2

α = (3, 2, 3, 3, 2, 3)

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Proof by example

We have α( , ) = (2, 1, 2, 2, 1, 2).

0 1 2 5 0 4 5 3 3 4 5 2 3 1 2

α = (3, 2, 3, 3, 2, 3) ↓ ↓

0 1 2 5 0 4 5 3 4 5 2 3 1 2

α = (2, 2, 3, 2, 2, 3)

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SLIDE 21

Proof by example

We have α( , ) = (2, 1, 2, 2, 1, 2).

0 1 2 5 0 4 5 3 3 4 5 2 3 1 2

α = (3, 2, 3, 3, 2, 3) ↓ ↓

0 1 2 5 0 4 5 3 4 5 2 3 1 2

α = (2, 2, 3, 2, 2, 3) ↓ ↓

0 1 2 5 0 4 3 4 5 2 3 1

α = (2, 2, 2, 2, 2, 2)

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SLIDE 22

Proof by example

We have α( , ) = (2, 1, 2, 2, 1, 2).

0 1 2 5 0 4 5 3 3 4 5 2 3 1 2

α = (3, 2, 3, 3, 2, 3) ↓ ↓

0 1 2 5 0 4 5 3 4 5 2 3 1 2

α = (2, 2, 3, 2, 2, 3) ↓ ↓

0 1 2 5 0 4 3 4 5 2 3 1

α = (2, 2, 2, 2, 2, 2) ↓ ↓

0 1 2 5 0 3 4 5 2 3

α = (2, 1, 2, 2, 1, 2)

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SLIDE 23

Failure of the proof by example

We have α( , ) = (2, 1, 2, 2, 1, 2).

0 1 2 5 0 4 5 3 3 4 5 2 3 1 2

α = (3, 2, 3, 3, 2, 3)

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SLIDE 24

Failure of the proof by example

We have α( , ) = (2, 1, 2, 2, 1, 2).

0 1 2 5 0 4 5 3 3 4 5 2 3 1 2

α = (3, 2, 3, 3, 2, 3) ↓ ↓

0 1 2 5 0 4 5 3 4 5 2 3 1 2

α = (2, 2, 3, 2, 2, 3)

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SLIDE 25

Failure of the proof by example

We have α( , ) = (2, 1, 2, 2, 1, 2).

0 1 2 5 0 4 5 3 3 4 5 2 3 1 2

α = (3, 2, 3, 3, 2, 3) ↓ ↓

0 1 2 5 0 4 5 3 4 5 2 3 1 2

α = (2, 2, 3, 2, 2, 3) ↓ ↓

0 1 5 0 4 5 3 4 2 3 1 2

α = (2, 2, 2, 2, 2, 2)

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SLIDE 26

1

Motivations

2

A theorem in combinatorics

3

Tools for the proof

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SLIDE 27

Abaci and cores

To a partition λ = (λ1, . . . , λh), we associate an abacus with e runners such that for each a ∈ N∗, there are exactly λa gaps above and on the left of the bead a. Example The 3 and 4-abaci associated with the partition (6, 4, 4, 2, 2) are . . . . . . . . . . . . . . . . . . , . . . . . . . . . . . . . . . . . . . . . . . . .

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SLIDE 28

Abaci and cores

To a partition λ = (λ1, . . . , λh), we associate an abacus with e runners such that for each a ∈ N∗, there are exactly λa gaps above and on the left of the bead a. Example The 3 and 4-abaci associated with the partition (6, 4, 4, 2, 2) are . . . . . . . . . . . . . . . . . . , . . . . . . . . . . . . . . . . . . . . . . . . . Definition If no runner of the e-abacus of a partition λ has a gap between its beads, we say that λ is an e-core. The partition of the above example is not a 3-core but a 4-core.

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Parametrisation

To the e-abacus of an e-core λ, we associate the coordinates x(λ) ∈ Ze of the first gaps. Example For the 4-core (6, 4, 4, 2, 2) we have . . . . . . . . . . . . . . . . . . . . . . . .

  • ,

where each denote a first gap, hence x = (−1, 2, 1, −2).

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Using the parametrisation

Proposition Let λ be an e-core, let α := α(λ) ∈ Ne be the e-tuple of multiplicities of the multiset of residues and x := x(λ) ∈ Ze the parameter of the e-abacus. We have: x0 + · · · + xe−1 = 0, 1 2x2 = α0, xi = αi − αi+1 for all i ∈ {0, . . . , e − 1}.

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SLIDE 31

Using the parametrisation

Proposition Let λ be an e-core, let α := α(λ) ∈ Ne be the e-tuple of multiplicities of the multiset of residues and x := x(λ) ∈ Ze the parameter of the e-abacus. We have: x0 + · · · + xe−1 = 0, 1 2x2 = α0, xi = αi − αi+1 for all i ∈ {0, . . . , e − 1}. Corollary If x = x(λ) and y = x(µ) then α0(λ, µ) = q(x, y), where q : Qe × Qe − → Q (x, y) − →

1 2x2 + 1 2y2 − y0 − · · · − yη−1 .

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Key lemma

Let (λ, µ) be an e-bicore, define x := x(λ) and y := x(µ) ∈ Ze. We assume that α := α(λ, µ) satisfies σ · α = α and we want to prove that there exists a partition ν such that α(ν, ν) = α.

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Key lemma

Let (λ, µ) be an e-bicore, define x := x(λ) and y := x(µ) ∈ Ze. We assume that α := α(λ, µ) satisfies σ · α = α and we want to prove that there exists a partition ν such that α(ν, ν) = α. Lemma It suffices to find an element z ∈ Ze such that:

      

q(z, z) ≤ q(x, y), z0 + · · · + ze−1 = 0, zi + zi+η = xi + yi+η, for all i. (E)

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Key lemma

Let (λ, µ) be an e-bicore, define x := x(λ) and y := x(µ) ∈ Ze. We assume that α := α(λ, µ) satisfies σ · α = α and we want to prove that there exists a partition ν such that α(ν, ν) = α. Lemma It suffices to find an element z ∈ Ze such that:

      

q(z, z) ≤ q(x, y), z0 + · · · + ze−1 = 0, zi + zi+η = xi + yi+η, for all i. (E) Thanks to the convexity of q, the element z := x+y

2

satisfies (E). However, we may have z / ∈ Ze : in general z ∈ 1

2Ze.

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First try

Ze Ze x = y +

(z,z)

We want to prove that we can choose a red point such that: the constraints are still satisfied estimate the error made

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First try

Ze Ze x = y +

(z,z)

We want to prove that we can choose a red point such that: the constraints are still satisfied → binary matrices estimate the error made → strong convexity

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End

a t t e n t i

  • n

T h a n k y

  • u

r y

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f

  • r

!