An Asymptotic Version of a Theorem of Knuth Jonathan Novak MSRI - - PowerPoint PPT Presentation

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An Asymptotic Version of a Theorem of Knuth Jonathan Novak MSRI - - PowerPoint PPT Presentation

An Asymptotic Version of a Theorem of Knuth Jonathan Novak MSRI & Waterloo Permutation Patterns 2010 August 10, 2010 Symmetry Schensted pairs s ( d , N ) = no. of Schensted pairs on partitions N , ( ) d s (3 , 9) = 94 359


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SLIDE 1

An Asymptotic Version of a Theorem of Knuth

Jonathan Novak

MSRI & Waterloo Permutation Patterns 2010

August 10, 2010

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SLIDE 2

Symmetry

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SLIDE 3

Schensted pairs

s(d, N) = no. of Schensted pairs on partitions λ ⊢ N, ℓ(λ) ≤ d s(3, 9) = 94 359 1 2 3 4 5 6 7 8 9 1 3 5 7 9 2 4 6 8 s(d, N) = ?

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SLIDE 4

Knuth’s formula

Theorem

s(2, N) = dim R(2, N)

Proof.

♣ ♣ ♣ ♣ ♣ ♣ ♥ ♥ ♥ ♥ ♥ ♥ ♣ ♣ ♣ ♣ ♥ ♥ ♣ ♣ ♥ ♥ ♥ ♥

Corollary

s(2, N) = 1 N + 1 2N N

  • .
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SLIDE 5

A general formula

s(d, N) =

  • λ⊢N

ℓ(λ)≤d

(dim λ)2, where dim λ = N! d

i=1(λi − i + d)!

  • 1≤i<j≤d

(λi − λj + j − i). Challenge: use this formula to estimate s(3, 1010).

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SLIDE 6

Regev’s formula

Theorem

For any fixed d ≥ 1, s(d, N) ∼ (2π)

1−d 2

d−1

  • i=0

i!

  • d2N+ d2

2 (2N) 1−d2 2

=

  • (2π)

1−d 2

d−1

  • i=0

i!

  • d

d2 2 2 1−d2 2

  • GUE partition function

d2NN

1−d2 2

  • S(d,N) growth rate

as N → ∞.

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SLIDE 7

Regev’s formula

Proof.

“Continuous” Schensted pairs: ♣ ♣ ♣ ♣ ♣ ♣ ♥ ♥ ♥ ♥ ♥ ♥ . . .

  • β times

s(d, N; β) :=

  • λ⊢N

ℓ(λ)≤d

(dim λ)β C β

d,Ns(d, N; β) →

  • Ωd−1

e−βW (y1,...,yd−1)dy

  • Mehta-Dyson-Selberg
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SLIDE 8

Asymmetry

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SLIDE 9

Asymmetry

♠ ♠ ♠ ♠ ♠ ♠ ♥ ♥ ♥ ♥ ♥ ♥ ? ? ♠ ♠ ♠ ♠ ♠ ♥ ♥ ♥ ♠ ♥ ♥ ♥

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SLIDE 10

Symmetry

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SLIDE 11

Symmetry

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SLIDE 12

Symmetry

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SLIDE 13

Symmetry

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SLIDE 14

Asymptotic symmetry

♠ ♠ ♠ ♠ ♠ ♠ ♠ ♠ ♠ ♥ ♥ ♥ ♥ ♥ ♥ ♥ ♥ ♥

  • ♣ ♣ ♣ ♣ ♣ ♣

♣ ♣ ♣ ♣ ♣ ♣ ♣ ♣ ♣ ♣ ♣ ♣ Conjecture: s(d, N) ∼ dim R(d, 2N/d)

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SLIDE 15

Verification of asymptotic symmetry

Exact formula: dim R(d, q) = (dq)! d−1

i=0 (q+i)! i!

Dimension of a d × ∞ strip: dim R(d, q) ∼ (2π)

1−d 2

d−1

  • i=0

i!

  • ddq+ 1

2 q 1−d2 2

Scaling dictated by symmetry: q 2N/d Reproduces Regev’s formula: dim R(d, 2N/d) ∼ (2π)

1−d 2

d−1

  • i=0

i!

  • d2N+ d2

2 (2N) 1−d2 2

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SLIDE 16

Asymptotic Knuth theorem

Theorem

For any fixed d ≥ 1, s(d, dn) ∼ dim R(d, 2n) as n → ∞.

Corollary

The number of permutations in S(dn) with no decreasing subsequence of length d + 1 is asymptotically equal to the number

  • f involutions in S(2dn) with longest decreasing subsequence of

length exactly d and longest increasing subsequence of length exactly 2n.

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SLIDE 17

Error term

Complements: µ ⊂ R(d, q), µ∗R(d,q) = (q − µd, q − µd−1, . . . , q − µ1)

Theorem

s(d, dn) = dim R(d, 2n) + E(d, dn), where E(d, dn) = 1 2

  • µ⊢dn

µ⊂R(d,2n)

(dim µ − dim µ∗)2

  • asymmetry

+

  • ν⊢dn

ν1>2n

(dim ν)2

  • large deviation

.

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SLIDE 18

Laplace method

If you want to understand a sum/integral where the integrand contains a large parameter, the maximum of the integrand is the centre of the universe. dim(n + y1 √n, . . . , n + yd √n) ∼ ?

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SLIDE 19

Laplace method

Theorem

For any fixed y1 > · · · > yd, y1 + · · · + yd = 0, lim

n→∞ Cd,dn dim(n + y1

√n, . . . , n + yd √n) = e−W (y1,...,yd), where W (y1, . . . , yd) = 1 2

d

  • i=1

y2

i −

  • 1≤i<j≤d

log(yi − yj).

Proof.

dim(n + y1 √n, . . . , n + yd √n) = Γ(dn + 1) d

i=1 Γ(n + yi

√n + i + d + 1)

  • 1≤i<j≤d

((yi − yj)√n + j − i).

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SLIDE 20

Laplace method

s(d, N; β) =

  • λ⊢N

ℓ(λ)≤d

(dim λ)β lim

n→∞ C β d,dns(d, dn; β) =

  • Ωd−1

e−βW (y1,...,yd)dy Ωd−1 = {y1 > · · · > yd, y1 + · · · + yd = 0} ⊂ Rd−1 Regev: evaluate this (difficult) integral.

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SLIDE 21

Laplace method

dim R(d, 2n) =

  • µ⊢dn

µ⊂R(d,2n)

(dim µ)(dim µ∗). t(d, dn; γ, δ) =

  • µ⊢dn

µ⊂R(d,2n)

(dim µ)γ(dim µ∗)δ. Exactly the same argument: lim

n→∞ C γ+δ d,dnt(d, dn; γ, δ) =

  • Ωd−1

e−γW (y1,...,yd)e−δW (−yd,...,−y1)dy.

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SLIDE 22

Symmetry returns

s(d, dn) ∼ dim R(d, 2n)

  • Ωd−1

e−2W (y1,...,yd)dy =

  • Ωd−1

e−W (y1,...,yd)e−W (−yd,...,−y1)dy ⇑ W (y1, . . . , yd) = W (−yd, . . . , −y1)

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SLIDE 23

Symmetry returns

Energy: W (y1, . . . , yd) = 1 2

d

  • i=1

y2

i −

  • 1≤i<j≤d

log(yi − yj). Symmetry: W (y1, . . . , yd) = W (−yd, . . . , −y1)

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SLIDE 24

Symmetry returns

W (y1, . . . , yd) = W (−yd, . . . , −y1)

Theorem

For any 0 ≤ γ < β,

  • λ⊢dn

ℓ(λ)≤d

(dim λ)β ∼

  • µ⊢dn

µ⊂R(d,2n)

(dim µ)γ(dim µ∗)β−γ

Corollary

  • λ⊢dn

ℓ(λ)≤d

(dim λ)2 ∼

  • µ⊢dn

µ⊂R(d,2n)

(dim µ)(dim µ∗) = dim R(d, 2n)

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SLIDE 25

Mehta-Dyson integral

Energy: W (t1, . . . , td) = 1 2

d

  • i=1

t2

i −

  • 1≤i<j≤d

log(ti − tj). Partition function (Mehta-Dyson integral): Ψ(d; β) =

  • Wd

e−βW (t1,...,td)dt Wd = {t1 > · · · > td} ⊂ Rd

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SLIDE 26

Mehta-Dyson conjecture: Ψ(d; β) = 1 d!(2π)

d 2 β− d 2 −β d(d−1) 4

d

  • i=1

Γ(1 + i β

2 )

Γ(1 + β

2 )

.

  • Bombieri: Selberg =

⇒ Mehta-Dyson

  • Symmetry =

⇒ Ψ(d; 2)

  • Dyson: Ψ(d; 2k) =

⇒ Ψ(d; β).

  • Symmetry =

⇒ Ψ(d; 2k)???

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SLIDE 27

Double-Scaling limit

Baik-Deift-Johansson, Okounkov, Borodin-Okounkov-Olshanski, Johansson:

Theorem

For d, N → ∞ at the rate d ∼ 2N1/2 + tN1/6, s(d, N) ∼ F(t)N!, where F(t) = Tracy-Widom distribution function. s(d, dn) = dim R(d, 2n)+1 2

  • µ⊢dn

µ⊂R(d,2n)

(dim µ−dim µ∗)2+

  • ν⊢dn

ν1>2n

(dim ν)2. Asymptotics of E(d, dn) in double scaling limit???

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SLIDE 28

Acknowledgements

Many thanks to Michael Albert and Andrei Okounkov.