The largest eigenvalue of finite rank deformation of large Wigner - - PowerPoint PPT Presentation

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The largest eigenvalue of finite rank deformation of large Wigner - - PowerPoint PPT Presentation

The largest eigenvalue of finite rank deformation of large Wigner matrices: convergence and non-universality of the fluctuations M. Capitaine, C. Donati-Martin, D. F eral I M T Univ Toulouse 3 and CNRS, Equipe de Statistique et Probabilit


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The largest eigenvalue of finite rank deformation

  • f large Wigner matrices: convergence and

non-universality of the fluctuations

  • M. Capitaine, C. Donati-Martin, D. F´

eral

I M T Univ Toulouse 3 and CNRS, Equipe de Statistique et Probabilit´ es UPMC Univ Paris 06 and CNRS, Laboratoire de Probabilit´ es et Mod` eles Al´ eatoires

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Step 1: Inclusion of the spectrum of MN = WN/ √ N + AN P[Spect(MN) ⊂ Kσ(θ1, · · · , θJ) + (−ε; ε) for large N ] = 1. Kσ(θ1, · · · , θJ) :=

  • ρθJ; · · · ; ρθJ−J−σ+1
  • ∪[−2σ; 2σ]∪
  • ρθJ+σ ; · · · ; ρθ1
  • .

ρθi = θi + σ2

θi if |θi| > σ.

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Step 1: Inclusion of the spectrum of MN = WN/ √ N + AN P[Spect(MN) ⊂ Kσ(θ1, · · · , θJ) + (−ε; ε) for large N ] = 1. Kσ(θ1, · · · , θJ) :=

  • ρθJ; · · · ; ρθJ−J−σ+1
  • ∪[−2σ; 2σ]∪
  • ρθJ+σ ; · · · ; ρθ1
  • .

ρθi = θi + σ2

θi if |θi| > σ. θi = 1 gσ(ρθi ), gσ(z) =

  • 1

z−t dµsc(t).

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SLIDE 4

Step 1: Inclusion of the spectrum of MN = WN/ √ N + AN P[Spect(MN) ⊂ Kσ(θ1, · · · , θJ) + (−ε; ε) for large N ] = 1. Kσ(θ1, · · · , θJ) :=

  • ρθJ; · · · ; ρθJ−J−σ+1
  • ∪[−2σ; 2σ]∪
  • ρθJ+σ ; · · · ; ρθ1
  • .

ρθi = θi + σ2

θi if |θi| > σ. θi = 1 gσ(ρθi ), gσ(z) =

  • 1

z−t dµsc(t).

x −∞ ρθJ −2σ 2σ ρθ2 ρθ1 +∞ −σ +∞ ր ր θ1 ր

1 gσ(x)

θJ θ2 ր ր −∞ σ

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Step 2: Exact separation phenomenon [a, b] gap in Spect(MN) ← → [

1 gσ(a), 1 gσ(b)] gap in Spect(AN)

σ θ3

1 gσ(a) 1 gσ(b) θ2

θ1

  • N-l eigenvalues of AN

l eigenvalues of AN

2σ ρθ3 a b ρθ2 ρθ1

  • N-l eigenvalues of MN

l eigenvalues of MN

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Theorem Exact separation phenomenon Kσ(θ1, · · · , θJ) :=

  • ρθJ; · · · ; ρθJ−J−σ+1
  • ∪ [−2σ; 2σ] ∪
  • ρθJ+σ ; · · · ; ρθ1
  • .

[a, b] ⊂

cKσ(θ1, . . . , θJ), iN ∈ {0, . . . , N} s.t

λiN+1(AN) < 1 gσ(a) and λiN(AN) > 1 gσ(b) ( λ0 := +∞ and λN+1 := −∞). Then P[λiN+1(MN) < a and λiN(MN) > b, for large N ] = 1.

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Assume that θ1 > σ. λ1(MN) → ρθ1 a.s.?

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Assume that θ1 > σ. λ1(MN) → ρθ1 a.s.? P[Spect(MN) ⊂ Kσ(θ1, · · · , θJ) + (−ε; ε) for large N ] = 1. Kσ(θ1, · · · , θJ) :=

  • ρθJ; · · · ; ρθJ−J−σ+1
  • ∪[−2σ; 2σ]∪
  • ρθJ+σ ; · · · ; ρθ1
  • .

= ⇒ P[λ1(MN) < ρθ1 + ǫ for large N ] = 1.

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Assume that θ1 > σ. λ1(MN) → ρθ1 a.s.? P[Spect(MN) ⊂ Kσ(θ1, · · · , θJ) + (−ε; ε) for large N ] = 1. Kσ(θ1, · · · , θJ) :=

  • ρθJ; · · · ; ρθJ−J−σ+1
  • ∪[−2σ; 2σ]∪
  • ρθJ+σ ; · · · ; ρθ1
  • .

= ⇒ P[λ1(MN) < ρθ1 + ǫ for large N ] = 1. By the exact separation phenomenon with [a; b] = [θ2 + η; θ1 − η], (θ1 − η =

1 gσ(ρθ1−ǫ))

P[λ1(MN) > ρθ1 − ǫ, for large N ] = 1.

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Assume that θ1 > σ. λ1(MN) → ρθ1 a.s.? P[Spect(MN) ⊂ Kσ(θ1, · · · , θJ) + (−ε; ε) for large N ] = 1. Kσ(θ1, · · · , θJ) :=

  • ρθJ; · · · ; ρθJ−J−σ+1
  • ∪[−2σ; 2σ]∪
  • ρθJ+σ ; · · · ; ρθ1
  • .

= ⇒ P[λ1(MN) < ρθ1 + ǫ for large N ] = 1. By the exact separation phenomenon with [a; b] = [θ2 + η; θ1 − η], (θ1 − η =

1 gσ(ρθ1−ǫ))

P[λ1(MN) > ρθ1 − ǫ, for large N ] = 1. = ⇒ P[ρθ1 − ǫ < λ1(MN) < ρθ1 + ǫ for large N ] = 1.

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SLIDE 11

Theorem AN = diag(θ, 0, · · · , 0) with θ > σ. Then √ N

  • λ1(MN) − ρθ
  • D

− → (1 − σ2 θ2 )

  • µ ∗ N(0, vθ)
  • .

vθ = t 4 m4 − 3σ4 θ2

  • + t

2 σ4 θ2 − σ2 with t = 4 (resp. t = 2) if WN is real (resp. complex) and m4 :=

  • x4dµ(x).

⇒ NON-UNIVERSALITY OF THE FLUCTUATIONS OF λ1(MN) since they do depend on µ

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Theorem AN = diag(θ, 0, · · · , 0) with θ > σ. Then √ N

  • λ1(MN) − ρθ
  • D

− → (1 − σ2 θ2 )

  • µ ∗ N(0, vθ)
  • .

vθ = t 4 m4 − 3σ4 θ2

  • + t

2 σ4 θ2 − σ2 with t = 4 (resp. t = 2) if WN is real (resp. complex) and m4 :=

  • x4dµ(x).

⇒ NON-UNIVERSALITY OF THE FLUCTUATIONS OF λ1(MN) since they do depend on µ In the other particular case (AN)ij = θ

N ∀1 ≤ i, j ≤ N, µ symmetric

with sub-gaussian moments, D. F´ eral and S. P´ ech´ e: if θ > σ, then √ N

  • λ1(MN) − ρθ
  • D

− → N(0, σ2

θ), σθ = σ

  • 1 − σ2

θ2 .

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SLIDE 13
  • MN−1: the N − 1 × N − 1 matrix obtained from MN removing the

first row and the first column. ⇒

√ N √ N−1

MN−1 is a non-Deformed Wigner matrix associated with the measure µ. ˇ M·1 =

t ((MN)21, . . . , (MN)N1) .

MN =    θ + (WN)11

√ N

ˇ M∗

·1

ˇ M·1

  • MN−1

  

  • MN−1, ˇ

M·1, (WN)11 are independent.

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SLIDE 14
  • MN−1: the N − 1 × N − 1 matrix obtained from MN removing the

first row and the first column. ⇒

√ N √ N−1

MN−1 is a non-Deformed Wigner matrix associated with the measure µ. ˇ M·1 =

t ((MN)21, . . . , (MN)N1) .

MN =    θ + (WN)11

√ N

ˇ M∗

·1

ˇ M·1

  • MN−1

  

  • MN−1, ˇ

M·1, (WN)11 are independent. V =t (v1, . . . , vN) eigenvector relative to λ1 := λ1(MN).

  • V =

t (v2, . . . , vN)

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SLIDE 15
  • MN−1: the N − 1 × N − 1 matrix obtained from MN removing the

first row and the first column. ⇒

√ N √ N−1

MN−1 is a non-Deformed Wigner matrix associated with the measure µ. ˇ M·1 =

t ((MN)21, . . . , (MN)N1) .

MN =    θ + (WN)11

√ N

ˇ M∗

·1

ˇ M·1

  • MN−1

  

  • MN−1, ˇ

M·1, (WN)11 are independent. V =t (v1, . . . , vN) eigenvector relative to λ1 := λ1(MN).

  • V =

t (v2, . . . , vN)

MNV = λ1V ⇐ ⇒

  • λ1v1 = (θ + (WN)11

√ N )v1 + ˇ

M∗

·1

V λ1 V = v1 ˇ M·1 + MN−1 V

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0 < δ < ρθ−2σ

4

. (ρθ > 2σ) ΩN =

  • λ1(

MN−1) ≤ 2σ + δ; λN−1( MN−1) ≥ −2σ − δ; λ1(MN) ≥ ρθ − δ

  • limN→+∞ P(ΩN) = 1.
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SLIDE 17

0 < δ < ρθ−2σ

4

. (ρθ > 2σ) ΩN =

  • λ1(

MN−1) ≤ 2σ + δ; λN−1( MN−1) ≥ −2σ − δ; λ1(MN) ≥ ρθ − δ

  • limN→+∞ P(ΩN) = 1.

On ΩN, G(λ1) := (λ1IN−1 − MN−1)−1

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SLIDE 18

0 < δ < ρθ−2σ

4

. (ρθ > 2σ) ΩN =

  • λ1(

MN−1) ≤ 2σ + δ; λN−1( MN−1) ≥ −2σ − δ; λ1(MN) ≥ ρθ − δ

  • limN→+∞ P(ΩN) = 1.

On ΩN, G(λ1) := (λ1IN−1 − MN−1)−1

  • λ1v1 = (θ + (WN)11

√ N )v1 + ˇ

M∗

·1

V λ1 V = v1 ˇ M·1 + MN−1 V ⇔

  • λ1v1

= θv1 + (WN)11

√ N v1 + v1 ˇ

M∗

·1

G(λ1) ˇ M·1.

  • V

= v1 G(λ1) ˇ M·1.

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SLIDE 19

0 < δ < ρθ−2σ

4

. (ρθ > 2σ) ΩN =

  • λ1(

MN−1) ≤ 2σ + δ; λN−1( MN−1) ≥ −2σ − δ; λ1(MN) ≥ ρθ − δ

  • limN→+∞ P(ΩN) = 1.

On ΩN, G(λ1) := (λ1IN−1 − MN−1)−1

  • λ1v1 = (θ + (WN)11

√ N )v1 + ˇ

M∗

·1

V λ1 V = v1 ˇ M·1 + MN−1 V ⇔

  • λ1v1

= θv1 + (WN)11

√ N v1 + v1 ˇ

M∗

·1

G(λ1) ˇ M·1.

  • V

= v1 G(λ1) ˇ M·1. ⇒ λ1 = θ + (WN)11 √ N + ˇ M∗

·1

G(λ1) ˇ M·1

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√ N(λ1 − ρθ) = (WN)11 + √ N( ˇ M∗

·1

G(λ1) ˇ M·1 − σ2 θ )

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√ N(λ1 − ρθ) = (WN)11 + √ N( ˇ M∗

·1

G(λ1) ˇ M·1 − σ2 θ ) = (WN)11 + √ N( ˇ M∗

·1

G(ρθ) ˇ M·1 − σ2 θ ) + √ N ˇ M∗

·1

  • G(λ1) −

G(ρθ)

  • ˇ

M·1

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SLIDE 22

√ N(λ1 − ρθ) = (WN)11 + √ N( ˇ M∗

·1

G(λ1) ˇ M·1 − σ2 θ ) = (WN)11 + √ N( ˇ M∗

·1

G(ρθ) ˇ M·1 − σ2 θ ) +

  • σ2

σ2 − θ2 + o(1) √ N(λ1 − ρθ)

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√ N(λ1 − ρθ) = (WN)11 + √ N( ˇ M∗

·1

G(λ1) ˇ M·1 − σ2 θ ) = (WN)11 + √ N( ˇ M∗

·1

G(ρθ) ˇ M·1 − σ2trN−1 G(ρθ)) +

  • σ2

σ2 − θ2 + o(1) √ N(λ1 − ρθ)+o(1) (using gσ(ρθ) = 1

θ)

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SLIDE 24
  • 1 +

σ2 θ2−σ2 + o(1)

√ N(λ1 − ρθ) + o(1) = (WN)11 + √ N( ˇ M∗

·1

G(ρθ) ˇ M·1 − σ2trN−1 G(ρθ))

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SLIDE 25
  • 1 +

σ2 θ2−σ2 + o(1)

√ N(λ1 − ρθ) + o(1) = (WN)11 + √ N( ˇ M∗

·1

G(ρθ) ˇ M·1 − σ2trN−1 G(ρθ)) = (WN)11 + σ2

  • N − 1

N 1 √ N − 1

  • Y ∗

N−1

G(ρθ)YN−1 − Tr G(ρθ)

  • +o(1)

YN−1 :=

√ N σ ˇ

M·1.

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Theorem (Bai-Yao and Baik-Silverstein) B = (bij): a N × N random Hermitian matrix YN =t (y1, . . . , yN): an independent vector of size N whith i.i.d standardized entries with bounded fourth moment and s.t. E(y2

1 ) = 0 if y1 is complex. Assume that

(i) ∃ a > 0 (not depending on N) such that ||B|| ≤ a, (ii)

1 N TrB2 converges in probability to a number a2,

(iii)

1 N

N

i=1 b2 ii converges in probability to a number a2 1.

Then the random variable

1 √ N (Y ∗ NBYN − TrB) converges in

distribution to a Gaussian variable with mean zero and variance (E|y1|4 − 1 − t/2)a2

1 + (t/2)a2

where t = 4 when Y1 is real and is 2 when y1 is complex.

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SLIDE 27
  • θ2

θ2−σ2 + o(1)

√ N(λ1 − ρθ) + o(1) = (WN)11 + σ2

  • N − 1

N 1 √ N − 1

  • Y ∗

N−1

G(ρθ)YN−1 − Tr G(ρθ)

↓ µ N(0, vθ)

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The real setting

  • Our approach dealing with AN = diag(θ, 0, · · · , 0) with θ > σ is

the same in the real setting as in the complex setting ⇒ NON-UNIVERSALITY OF THE FLUCTUATIONS OF λ1(MN)

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SLIDE 29

The real setting

  • Our approach dealing with AN = diag(θ, 0, · · · , 0) with θ > σ is

the same in the real setting as in the complex setting ⇒ NON-UNIVERSALITY OF THE FLUCTUATIONS OF λ1(MN)

  • Dealing with (AN)ij = θ

N ∀1 ≤ i, j ≤ N, S. P´

ech´ e and D. F´ eral proved that If somebody is able to establish the fluctuations in the deformed GOE case then there will be universality of the fluctuations.

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SLIDE 30

The real setting

  • Our approach dealing with AN = diag(θ, 0, · · · , 0) with θ > σ is

the same in the real setting as in the complex setting ⇒ NON-UNIVERSALITY OF THE FLUCTUATIONS OF λ1(MN)

  • Dealing with (AN)ij = θ

N ∀1 ≤ i, j ≤ N, S. P´

ech´ e and D. F´ eral proved that If somebody is able to establish the fluctuations in the deformed GOE case then there will be universality of the fluctuations. Corollary of our result by the orthogonal invariance of a GOE matrix: Let AN be an arbitrary deterministic symmetric matrix of rank one having a non-null eigenvalue θ such that θ > σ. Then the largest eigenvalue of the Deformed GOE fluctuates as √ N

  • λ1(MN) − ρθ
  • D

− → N(0, 2σ2

θ).

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SLIDE 31

The real setting

  • Our approach dealing with AN = diag(θ, 0, · · · , 0) with θ > σ is

the same in the real setting as in the complex setting ⇒ NON-UNIVERSALITY OF THE FLUCTUATIONS OF λ1(MN)

  • Dealing with (AN)ij = θ

N ∀1 ≤ i, j ≤ N, S. P´

ech´ e and D. F´ eral proved that If somebody is able to establish the fluctuations in the deformed GOE case then there will be universality of the fluctuations. Corollary of our result by the orthogonal invariance of a GOE matrix: Let AN be an arbitrary deterministic symmetric matrix of rank one having a non-null eigenvalue θ such that θ > σ. Then the largest eigenvalue of the Deformed GOE fluctuates as √ N

  • λ1(MN) − ρθ
  • D

− → N(0, 2σ2

θ).

⇒ UNIVERSALITY OF THE FLUCTUATIONS OF λ1(MN) with a full deformation (AN)ij = θ

N ∀1 ≤ i, j ≤ N.