On the Gibbs states of the non-critical Potts model on Z 2 Joint - - PowerPoint PPT Presentation

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On the Gibbs states of the non-critical Potts model on Z 2 Joint - - PowerPoint PPT Presentation

On the Gibbs states of the non-critical Potts model on Z 2 Joint work with H. Duminil-Copin, D. Ioffe, and Y. Velenik. Loren Coquille Hausdorff Center fr Mathematik, Universitt Bonn July 10, 2014 Loren Coquille (HCM-Bonn) MAC2 Workshop


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On the Gibbs states of the non-critical Potts model on Z2

Joint work with H. Duminil-Copin, D. Ioffe, and Y. Velenik.

Loren Coquille

Hausdorff Center für Mathematik, Universität Bonn

July 10, 2014

Loren Coquille (HCM-Bonn) MAC2 Workshop – Paris July 10, 2014 1 / 34

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SLIDE 2

Outline of the talk

1

Finite volume measures

2

Phase transition

3

Infinite volume measures

4

Known results

5

New result

6

Main ideas of the proof

Loren Coquille (HCM-Bonn) MAC2 Workshop – Paris July 10, 2014 2 / 34

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Finite volume measures

Outline of the talk

1

Finite volume measures

2

Phase transition

3

Infinite volume measures

4

Known results

5

New result

6

Main ideas of the proof

Loren Coquille (HCM-Bonn) MAC2 Workshop – Paris July 10, 2014 3 / 34

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Finite volume measures

Ising model

Spin = state of a site x ∈ Zd σx ∈ {−1, +1} Λ Hamiltonian = energy of a spin configuration H(σ) = −

  • x∼y

σxσy →

  • • or ••

contribution = -1

  • • or ••

contribution = +1 Gibbs measure on {−1, +1}Λ : PΛ,T(σ) = 1 Z exp

  • − 1

T H(σ)

  • ,

T = temperature

Loren Coquille (HCM-Bonn) MAC2 Workshop – Paris July 10, 2014 4 / 34

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Finite volume measures

Ising model / Potts model

Spin = state of a site x ∈ Zd σx ∈ {−1, +1} σx ∈ {1, 2 . . . , q} Λ Hamiltonian = energy of a spin configuration H(σ) = −

  • x∼y

σxσy →

  • • or ••

contribution = -1

  • • or ••

contribution = +1 H(σ) = −

  • x∼y

δσx=σy →

  • • or •• or •• or . . .

contribution = -1

  • • or •• or •• or . . .

contribution = 0 PΛ,T(σ) = 1 Z exp

  • − 1

T H(σ)

  • ,

T = temperature

Loren Coquille (HCM-Bonn) MAC2 Workshop – Paris July 10, 2014 4 / 34

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SLIDE 6

Finite volume measures

Boundary conditions

Ising : Hω(σ) = −

  • x∼y

σxσy −

  • x∈Λ,y∈∂Λ

x∼y

σxωy Potts : Hω(σ) = −

  • x∼y

δσx=σy −

  • x∈Λ,y∈∂Λ

x∼y

δσx=ωy

Loren Coquille (HCM-Bonn) MAC2 Workshop – Paris July 10, 2014 5 / 34

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Finite volume measures

Boundary conditions

Ising : Hω(σ) = −

  • x∼y

σxσy −

  • x∈Λ,y∈∂Λ

x∼y

σxωy Potts : Hω(σ) = −

  • x∼y

δσx=σy −

  • x∈Λ,y∈∂Λ

x∼y

δσx=ωy

Λ,T

Loren Coquille (HCM-Bonn) MAC2 Workshop – Paris July 10, 2014 5 / 34

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Phase transition

Outline of the talk

1

Finite volume measures

2

Phase transition

3

Infinite volume measures

4

Known results

5

New result

6

Main ideas of the proof

Loren Coquille (HCM-Bonn) MAC2 Workshop – Paris July 10, 2014 6 / 34

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Phase transition

Monochromatic boundary conditions

Ising : P+

Λ,T and P− Λ,T

Potts : Pi

Λ,T, with i = 1, . . . , q.

T ≃ 0 T ≫ 1

Loren Coquille (HCM-Bonn) MAC2 Workshop – Paris July 10, 2014 7 / 34

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Phase transition

Phase transition

Ising There exists Tc(d) ∈ (0, ∞) s.t. If T > Tc then lim

Λ↑Zd E+ Λ,T(σ0) = 0

If T < Tc then lim

Λ↑Zd E+ Λ,T(σ0) > 0

Potts There exists Tc(d, q) ∈ (0, ∞) s.t. If T > Tc then lim

Λ↑Zd Pi Λ,T(σ0 = i) = 1/q

If T < Tc then lim

Λ↑Zd Pi Λ,T(σ0 = i) > 1/q

Loren Coquille (HCM-Bonn) MAC2 Workshop – Paris July 10, 2014 8 / 34

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Phase transition

Phase transition

Ising There exists Tc(d) ∈ (0, ∞) s.t. If T > Tc then E+

T(σ0) = 0

If T < Tc then −E−

T = E+ T(σ0) > 0

Potts There exists Tc(d, q) ∈ (0, ∞) s.t. If T > Tc then Pi

T(σ0 = i) = 1/q

If T < Tc then Pi

T(σ0 = i) > 1/q

Remarks Existence of the monochromatic phases : FKG inequality for Ising, coupling with the random-clusters model for Potts. They are translation invariant.

Loren Coquille (HCM-Bonn) MAC2 Workshop – Paris July 10, 2014 8 / 34

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Phase transition

Phase transition

Ising There exists Tc(d) ∈ (0, ∞) s.t. If T > Tc then E+

T(σ0) = 0

If T < Tc then −E−

T = E+ T(σ0) > 0

Potts There exists Tc(d, q) ∈ (0, ∞) s.t. If T > Tc then Pi

T(σ0 = i) = 1/q

If T < Tc then Pi

T(σ0 = i) > 1/q

Remarks Existence of the monochromatic phases : FKG inequality for Ising, coupling with the random-clusters model for Potts. They are translation invariant. Non-triviality of Tc : Peierls in d = q = 2, monotonicity in d and in q.

Loren Coquille (HCM-Bonn) MAC2 Workshop – Paris July 10, 2014 8 / 34

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Infinite volume measures

Outline of the talk

1

Finite volume measures

2

Phase transition

3

Infinite volume measures

4

Known results

5

New result

6

Main ideas of the proof

Loren Coquille (HCM-Bonn) MAC2 Workshop – Paris July 10, 2014 9 / 34

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Infinite volume measures

Infinite volume Gibbs measures

Weak limits approach GT = accumulation points of sequences (Pωn

Λn)n

with Λn ↑ Zd as n → ∞

  • Weak topology : Pωn

Λn → P

⇔ Eωn

Λn(f ) → E(f )

∀f local

Loren Coquille (HCM-Bonn) MAC2 Workshop – Paris July 10, 2014 10 / 34

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SLIDE 15

Infinite volume measures

Infinite volume Gibbs measures

Weak limits approach GT = accumulation points of sequences (Pωn

Λn)n

with Λn ↑ Zd as n → ∞

  • Weak topology : Pωn

Λn → P

⇔ Eωn

Λn(f ) → E(f )

∀f local Dobrushin-Lanford-Ruelle approach ˜ GT = P : for all Λ ⋐ Zd, and P-a.e. ω, P(σ | σ = ω on Λc) = Pω

Λ(σ)

  • Loren Coquille (HCM-Bonn)

MAC2 Workshop – Paris July 10, 2014 10 / 34

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Infinite volume measures

Infinite volume Gibbs measures

Weak limits approach GT = accumulation points of sequences (Pωn

Λn)n

with Λn ↑ Zd as n → ∞

  • Weak topology : Pωn

Λn → P

⇔ Eωn

Λn(f ) → E(f )

∀f local Dobrushin-Lanford-Ruelle approach ˜ GT = P : for all Λ ⋐ Zd, and P-a.e. ω, P(σ | σ = ω on Λc) = Pω

Λ(σ)

  • ˜

GT is a simplex, whose extremal elements belong to GT !

Loren Coquille (HCM-Bonn) MAC2 Workshop – Paris July 10, 2014 10 / 34

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Known results

Outline of the talk

1

Finite volume measures

2

Phase transition

3

Infinite volume measures

4

Known results

5

New result

6

Main ideas of the proof

Loren Coquille (HCM-Bonn) MAC2 Workshop – Paris July 10, 2014 11 / 34

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Known results

Known results for the Ising model

1972 For 0 < T ≪ Tc and d = 2 resp. 3, [Galavotti] [Dobrushin] P± = (P+ + P−)/2, P± is not translation invariant

+ + + + + + + + + + + + + + + + + + + − − − − − − + − − − − − − − − − − − − − − − − − − − − − − − − − − − − − − + + + + + − − − − − − + + + + + + + + + + − −− + + + + + + + + O(√n) n n O(1)

Loren Coquille (HCM-Bonn) MAC2 Workshop – Paris July 10, 2014 12 / 34

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Known results

Known results for the Ising model

1980-81 In d = 2 for all T > 0 [Aizenman] [Higuchi] GT =

  • αP+

T + (1 − α)P− T, with α ∈ [0, 1]

  • T ≥ Tc

⇒ GT = {PT}

  • T < Tc

⇒ GT = [P−

T, P+ T]

(Proof by contradiction, in the infinite volume setting, gives little information about large but finite volumes.)

Loren Coquille (HCM-Bonn) MAC2 Workshop – Paris July 10, 2014 13 / 34

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Known results

Known results for the Ising model

1979 In d = 2 and for T ≪ Tc [Higuchi] 2005 In d = 2 and T < Tc [Greenberg, Ioffe] Under diffusive scaling, the Dobrushin interface weakly converges to a Brownian bridge.

Loren Coquille (HCM-Bonn) MAC2 Workshop – Paris July 10, 2014 14 / 34

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Known results

Known results for the Potts model

1986 For d ≥ 2, q > q0(d), and T < Tc [Martirosian] If P ∈ GT is translation invariant, then P = q

i=1 αiPi T.

Loren Coquille (HCM-Bonn) MAC2 Workshop – Paris July 10, 2014 15 / 34

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Known results

Known results for the Potts model

1986 For d ≥ 2, q > q0(d), and T < Tc [Martirosian] If P ∈ GT is translation invariant, then P = q

i=1 αiPi T.

2008 For d = 2, and T < Tc (*) [Campanino, Ioffe, Velenik] Under diffusive scaling, the Dobrushin interface weakly converges to a Brownian bridge.

Loren Coquille (HCM-Bonn) MAC2 Workshop – Paris July 10, 2014 15 / 34

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New result

Outline of the talk

1

Finite volume measures

2

Phase transition

3

Infinite volume measures

4

Known results

5

New result

6

Main ideas of the proof

Loren Coquille (HCM-Bonn) MAC2 Workshop – Paris July 10, 2014 16 / 34

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New result

Characterization of GT for the Potts model on Z2

Theorem (C., Duminil-Copin, Ioffe, Velenik) For q ≥ 2 and T < Tc(q), GT = q

i=1 αiPi T, with

q

i=1 αi = 1

  • Loren Coquille (HCM-Bonn)

MAC2 Workshop – Paris July 10, 2014 17 / 34

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New result

Characterization of GT for the Potts model on Z2

Theorem (C., Duminil-Copin, Ioffe, Velenik) For q ≥ 2 and T < Tc(q), GT = q

i=1 αiPi T, with

q

i=1 αi = 1

  • What about criticality T = Tc = 1/ log(1 + √q)?

[Duminil-Copin, Sidoravicius, Tassion] uniqueness for q = 2, 3, 4. [Laanait, Messager, Miracle-Solé, Ruiz, Shlosman] for q > 25 there are q + 1 extremal phases Conjecture : q + 1 extremal phases for all q > 4.

Loren Coquille (HCM-Bonn) MAC2 Workshop – Paris July 10, 2014 17 / 34

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New result

Finite volume stronger result

Theorem (C., Duminil-Copin, Ioffe, Velenik) Let q ≥ 2 and T < Tc(q). For all ε > 0, there exists a constant Cε < ∞ such that: for every boundary condition ω there exist q positive constants αn

1, . . . , αn q

depending only on (n, ω, T, q), such that

Λn,T(f ) − q

  • i=1

αn

i Pi T(f )

  • ≤ Cεf ∞ · n− 1

2+ε

uniformly on functions f which have support in Λnε.

Loren Coquille (HCM-Bonn) MAC2 Workshop – Paris July 10, 2014 18 / 34

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Main ideas of the proof

Outline of the talk

1

Finite volume measures

2

Phase transition

3

Infinite volume measures

4

Known results

5

New result

6

Main ideas of the proof

Loren Coquille (HCM-Bonn) MAC2 Workshop – Paris July 10, 2014 19 / 34

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Main ideas of the proof

Philosophy

Uniformly on the given boundary condition, a finite number of interfaces reach the half box, They are concentrated around “minimal surfaces”, But they fluctuate enough so that locally, no phase coexistence is possible.

Loren Coquille (HCM-Bonn) MAC2 Workshop – Paris July 10, 2014 20 / 34

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Main ideas of the proof Coupling with the random cluster model

Edwards-Sokal coupling with the random cluster model

Let σ ∼ P•

Λ,T,q and pT = 1 − exp(−1/T).

Loren Coquille (HCM-Bonn) MAC2 Workshop – Paris July 10, 2014 21 / 34

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Main ideas of the proof Coupling with the random cluster model

Edwards-Sokal coupling with the random cluster model

Let σ ∼ P•

Λ,T,q and pT = 1 − exp(−1/T).

Sample η ∈ {0, 1}EΛ as follows: set η(e) = 1 on ∂Λ.

Loren Coquille (HCM-Bonn) MAC2 Workshop – Paris July 10, 2014 21 / 34

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Main ideas of the proof Coupling with the random cluster model

Edwards-Sokal coupling with the random cluster model

Let σ ∼ P•

Λ,T,q and pT = 1 − exp(−1/T).

Sample η ∈ {0, 1}EΛ as follows: set η(e) = 1 on ∂Λ. For each e = [i, j], if σi = σj, set η(e) = 0

Loren Coquille (HCM-Bonn) MAC2 Workshop – Paris July 10, 2014 21 / 34

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Main ideas of the proof Coupling with the random cluster model

Edwards-Sokal coupling with the random cluster model

Let σ ∼ P•

Λ,T,q and pT = 1 − exp(−1/T).

Sample η ∈ {0, 1}EΛ as follows: set η(e) = 1 on ∂Λ. For each e = [i, j], if σi = σj, set η(e) = 0 if σi = σj, set η(e) = 1 with proba pT η(e) = 0 with proba 1 − pT

Loren Coquille (HCM-Bonn) MAC2 Workshop – Paris July 10, 2014 21 / 34

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Main ideas of the proof Coupling with the random cluster model

Edwards-Sokal coupling with the random cluster model

Let σ ∼ P•

Λ,T,q and pT = 1 − exp(−1/T).

Sample η ∈ {0, 1}EΛ as follows: set η(e) = 1 on ∂Λ. For each e = [i, j], if σi = σj, set η(e) = 0 if σi = σj, set η(e) = 1 with proba pT η(e) = 0 with proba 1 − pT Then η ∼ φ1

Λ,pT ,q ∝ po(η) T

(1 − pT)c(η)qκ(η).

Loren Coquille (HCM-Bonn) MAC2 Workshop – Paris July 10, 2014 21 / 34

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Main ideas of the proof Coupling with the random cluster model

Edwards-Sokal coupling with the random cluster model

Let σ ∼ P•

Λ,T,q and pT = 1 − exp(−1/T).

Sample η ∈ {0, 1}EΛ as follows: set η(e) = 1 on ∂Λ. For each e = [i, j], if σi = σj, set η(e) = 0 if σi = σj, set η(e) = 1 with proba pT η(e) = 0 with proba 1 − pT Then η ∼ φ1

Λ,pT ,q ∝ po(η) T

(1 − pT)c(η)qκ(η). Pi

T(σ0 = i) − 1/q

1 − 1/q = φ1

pT ,q(0 ↔ ∞).

Loren Coquille (HCM-Bonn) MAC2 Workshop – Paris July 10, 2014 21 / 34

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Main ideas of the proof Coupling with the random cluster model

Edwards-Sokal coupling with the random cluster model

Let T < Tc(q), then pT > pc(q), and Pω

Λ,T can be coupled to φ1 Λ,pT ,q( · |Cond(ω))

Cond(ω) = ∃ interfaces disconnecting the parts of ∂Λ which have different color in ω

  • coupling

Loren Coquille (HCM-Bonn) MAC2 Workshop – Paris July 10, 2014 22 / 34

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Main ideas of the proof Coupling with the random cluster model

Edwards-Sokal coupling with the random cluster model

Let T < Tc(q), then pT > pc(q), and Pω

Λ,T can be coupled to φ1 Λ,pT ,q( · |Cond(ω))

Cond(ω) = ∃ open dual paths disconnecting the parts of ∂Λ which have different color in ω

  • coupling

⇒ ⇓ duality φ1

Λ,pT ,q( · |Cond(ω))

is dual to φ0

Λ⋆,p⋆

T ,q( · |Cond(ω))

with p⋆

T < pc(q).

Loren Coquille (HCM-Bonn) MAC2 Workshop – Paris July 10, 2014 22 / 34

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Main ideas of the proof Coupling with the random cluster model

Reformulation of the theorem in terms of the FK model

Theorem For q ≥ 2 and p < pc(q), uniformly on the Potts configuration ω, φ0

Λn,p,q(C ∩ Λnε = ∅ | Cond(ω)) = O(n− 1

2 +ε)

where Cond(ω) = ∃ open paths disconnecting the parts of ∂Λ which have different color in ω

  • C is the union of the clusters starting at the color changes.

Loren Coquille (HCM-Bonn) MAC2 Workshop – Paris July 10, 2014 23 / 34

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Main ideas of the proof Finite number of crossing interfaces

Step 1: Macroscopic flower domains

Uniformly in ω, a finite number of interfaces reach Λn/2 whp.

Claim : there exists a constant M such that φ0

Λn

  • ∃m ∈ [n

2, n] : |C ∩ ∂Λm| ≤ M

  • Cond(ω)
  • ≥ 1 − e−cn

Λn/2 Λn Loren Coquille (HCM-Bonn) MAC2 Workshop – Paris July 10, 2014 24 / 34

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Main ideas of the proof Finite number of crossing interfaces

Step 1: Macroscopic flower domains

Uniformly in ω, a finite number of interfaces reach Λn/2 whp.

Claim : there exists a constant M such that φ0

Λn

  • ∃m ∈ [n

2, n] : |C ∩ ∂Λm| ≤ M

  • Cond(ω)
  • ≥ 1 − e−cn

Λn/2 Λn

[Beffara, Duminil-Copin 2012] p < pc(q) ⇒ exponential decay

Loren Coquille (HCM-Bonn) MAC2 Workshop – Paris July 10, 2014 24 / 34

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Main ideas of the proof Finite number of crossing interfaces

Step 1: Macroscopic flower domains

Uniformly in ω, a finite number of interfaces reach Λn/2 whp.

Claim : there exists a constant M such that φ0

Λn

  • ∃m ∈ [n

2, n] : |C ∩ ∂Λm| ≤ M

  • Cond(ω)
  • ≥ 1 − e−cn

Λn/2 Λn

[Beffara, Duminil-Copin 2012] p < pc(q) ⇒ exponential decay φ0

Λn(∃r crossings of Λn\Λn/2) ≤ e−crn

Loren Coquille (HCM-Bonn) MAC2 Workshop – Paris July 10, 2014 24 / 34

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SLIDE 41

Main ideas of the proof Finite number of crossing interfaces

Step 1: Macroscopic flower domains

Uniformly in ω, a finite number of interfaces reach Λn/2 whp.

Claim : there exists a constant M such that φ0

Λn

  • ∃m ∈ [n

2, n] : |C ∩ ∂Λm| ≤ M

  • Cond(ω)
  • ≥ 1 − e−cn

Λn/2 Λn

[Beffara, Duminil-Copin 2012] p < pc(q) ⇒ exponential decay φ0

Λn(∃r crossings of Λn\Λn/2) ≤ e−crn

φ0

Λn(∃ cluster of size R in Λn/2) ≤ e−cR

Loren Coquille (HCM-Bonn) MAC2 Workshop – Paris July 10, 2014 24 / 34

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SLIDE 42

Main ideas of the proof Finite number of crossing interfaces

Step 1: Macroscopic flower domains

Uniformly in ω, a finite number of interfaces reach Λn/2 whp.

Claim : there exists a constant M such that φ0

Λn

  • ∃m ∈ [n

2, n] : |C ∩ ∂Λm| ≤ M

  • Cond(ω)
  • ≥ 1 − e−cn

Λn/2 Λn

[Beffara, Duminil-Copin 2012] p < pc(q) ⇒ exponential decay φ0

Λn(∃r crossings of Λn\Λn/2) ≤ e−crn

φ0

Λn(∃ cluster of size R in Λn/2) ≤ e−cR

φ0

Λn(Cond(ω)) ≥ p4n

Loren Coquille (HCM-Bonn) MAC2 Workshop – Paris July 10, 2014 24 / 34

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SLIDE 43

Main ideas of the proof Finite number of crossing interfaces

Step 1: Macroscopic flower domains

Uniformly in ω, a finite number of interfaces reach Λn/2 whp.

Claim : there exists a constant M such that φ0

Λn

  • ∃m ∈ [n

2, n] : |C ∩ ∂Λm| ≤ M

  • Cond(ω)
  • ≥ 1 − e−cn

Λn/2 Λn

[Beffara, Duminil-Copin 2012] p < pc(q) ⇒ exponential decay φ0

Λn(∃r crossings of Λn\Λn/2) ≤ e−crn

φ0

Λn(∃ cluster of size R in Λn/2) ≤ e−cR

φ0

Λn(Cond(ω)) ≥ p4n

Loren Coquille (HCM-Bonn) MAC2 Workshop – Paris July 10, 2014 24 / 34

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SLIDE 44

Main ideas of the proof Concentration around minimal surfaces

Step 2: Concentration around Steiner forests

Theorem (Campanino, Ioffe, Velenik, 2008) Let τp(ˆ x) = − lim

n→∞

1 n log φp,q(0 ↔ ⌊nˆ x⌋) and τp(x) = |x|τp(ˆ x). For all p < pc(q) (*), τp is a norm which satisfies the sharp triangle inequality τp(x + y) − τp(x) − τp(y) ≥ κp(|x + y| − |x| − |y|) In particular, the unit ball for the τp-norm is uniformly convex.

Loren Coquille (HCM-Bonn) MAC2 Workshop – Paris July 10, 2014 25 / 34

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Main ideas of the proof Concentration around minimal surfaces

Step 2: Concentration around Steiner forests

Theorem (Campanino, Ioffe, Velenik, 2008) For all p < pc(q) (*), τp is a norm which satisfies the sharp triangle inequality τp(x + y) − τp(x) − τp(y) ≥ κp(|x + y| − |x| − |y|) In particular, the unit ball for the τp-norm is uniformly convex. Geometrical consequence: “Minimal surfaces” connecting a finite number

  • f points are forests (union of trees), with internal vertices of degree 3.

Loren Coquille (HCM-Bonn) MAC2 Workshop – Paris July 10, 2014 25 / 34

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Main ideas of the proof Concentration around minimal surfaces

Step 2: Concentration around Steiner forests

Theorem (Campanino, Ioffe, Velenik, 2008) For all p < pc(q) (*), τp is a norm which satisfies the sharp triangle inequality τp(x + y) − τp(x) − τp(y) ≥ κp(|x + y| − |x| − |y|) In particular, the unit ball for the τp-norm is uniformly convex. Geometrical consequence: “Minimal surfaces” connecting a finite number

  • f points are forests (union of trees), with internal vertices of degree 3.

The L∞ norm allows degree 4 !

Loren Coquille (HCM-Bonn) MAC2 Workshop – Paris July 10, 2014 25 / 34

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Main ideas of the proof Concentration around minimal surfaces

Step 2: Concentration around Steiner forests

Large deviation analysis In Λn/2, the remaining interfaces stay in a δn-neighborhood of Steiner forests with probability ≥ 1 − e−cn.

Loren Coquille (HCM-Bonn) MAC2 Workshop – Paris July 10, 2014 26 / 34

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SLIDE 48

Main ideas of the proof Concentration around minimal surfaces

Step 2: Concentration around Steiner forests

Large deviation analysis In Λn/2, the remaining interfaces stay in a δn-neighborhood of Steiner forests with probability ≥ 1 − e−cn. Example with 2 Steiner forests :

Loren Coquille (HCM-Bonn) MAC2 Workshop – Paris July 10, 2014 26 / 34

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SLIDE 49

Main ideas of the proof Concentration around minimal surfaces

Step 3: Fluctuations

Three cases remain to be analysed...

u1 u2 u3 u4 u5 CASE 1 CASE 2 CASE 3

Case 1: exponential relaxation into pure phases. φ(C ∩ Λδn = 0) ≤ e−Cn Case 2: Brownian scaling of the interfaces between 2 phases. φ(C ∩ Λnε = 0) ≤ O(n−1/2+ε) Case 3: remains to analyse the fluctuations of triple points.

Loren Coquille (HCM-Bonn) MAC2 Workshop – Paris July 10, 2014 27 / 34

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Main ideas of the proof Fluctuations

Step 3: Fluctuations

Theorem (Campanino, Ioffe, Velenik, 2008) For p < pc (*), φp,q(0 ↔ x) = Ψ(ˆ x)

  • |x|

e−τ(ˆ

x)|x|(1 + o(1))

as |x| → ∞. Idea of the proof: positive density of cone points effective directed RW Brownian scaling

x γb γ2 γ3 γ4 V (γ1) V (γ2) V (γ3) V (γ4) γ1 γf

Loren Coquille (HCM-Bonn) MAC2 Workshop – Paris July 10, 2014 28 / 34

slide-51
SLIDE 51

Main ideas of the proof Fluctuations

Step 3: Fluctuations

Conditioning on u1 ↔ u2 ↔ u3, the event :

u1 u2 u3 w1 + Y1 w2 + Y2 w3 + Y3 Λ⋆ w2 w1 w3

Λm

y

happens for some y ∈ Λδn and some Λ⋆ of sidelength O(nε) with probability ≥ 1 − exp(−Cnε).

Loren Coquille (HCM-Bonn) MAC2 Workshop – Paris July 10, 2014 29 / 34

slide-52
SLIDE 52

Main ideas of the proof Fluctuations

Let x be the Steiner triple point between u1, u2 and u3. For a fixed y, a Taylor expansion of the exponential contribution gives : φ          

u1 u2 u3 w1 + Y1 w2 + Y2 w3 + Y3 Λ⋆ w2 w1 w3

Λm

y

  • u1 ↔ u2 ↔ u3

          ∼ exp

  • −C |x − y|2

n

  • Loren Coquille (HCM-Bonn)

MAC2 Workshop – Paris July 10, 2014 30 / 34

slide-53
SLIDE 53

Main ideas of the proof Fluctuations

Let x be the Steiner triple point between u1, u2 and u3. For a fixed y, a Taylor expansion of the exponential contribution gives : φ          

u1 u2 u3 w1 + Y1 w2 + Y2 w3 + Y3 Λ⋆ w2 w1 w3

Λm

y

  • u1 ↔ u2 ↔ u3

          ≃ O 1 n

  • exp
  • −C |x − y|2

n

  • Prefactor : all y ∈ Λn1/2 contribute the same.

Loren Coquille (HCM-Bonn) MAC2 Workshop – Paris July 10, 2014 30 / 34

slide-54
SLIDE 54

Main ideas of the proof Fluctuations

Let x be the Steiner triple point between u1, u2 and u3. For a fixed y, a Taylor expansion of the exponential contribution gives : φ          

u1 u2 u3 w1 + Y1 w2 + Y2 w3 + Y3 Λ⋆ w2 w1 w3

Λm

y

  • u1 ↔ u2 ↔ u3

          ≃ O 1 n

  • exp
  • −C |x − y|2

n

  • Prefactor : all y ∈ Λn1/2 contribute the same.

A Brownian estimate allows us to conclude : φ(C ∩ Λnε = ∅|u1 ↔ u2 ↔ u3) ≤ O(n−1/2+ε)

Loren Coquille (HCM-Bonn) MAC2 Workshop – Paris July 10, 2014 30 / 34

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SLIDE 55

Main ideas of the proof Fluctuations

Thank you !

Loren Coquille (HCM-Bonn) MAC2 Workshop – Paris July 10, 2014 31 / 34

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SLIDE 56

Details about coarse graining

x1 x2 x0 = 0 x x3 x4 x5 x6 x7 x8 BK(x0) ¯ BK(x0)

Loren Coquille (HCM-Bonn) MAC2 Workshop – Paris July 10, 2014 32 / 34

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SLIDE 57

Details about coarse graining

u2 u4 u5 BK(x0) u1 = x0 u3

t1 B1 t2 B2

Loren Coquille (HCM-Bonn) MAC2 Workshop – Paris July 10, 2014 33 / 34

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SLIDE 58

Details about coarse graining

Coarse graining at scale K

φ(E|Cond(ω)) =

  • F∼E

φ(FK = F) φ(Cond(ω)) φ(FK = F) ≤ φ  

xi∈F

xi ↔ ∂BK(xi)   ≤ φ  x1 ↔ ∂BK(x1)

  • |F|
  • i=2

xi ↔ ∂BK(xi)   φ  

|F|

  • i=2

xi ↔ ∂BK(xi)  

FKG

  • i

φ1

¯ BK (xi ↔ ∂BK(xi))

≤ exp(−K|F|(1 − oK(1)))

Loren Coquille (HCM-Bonn) MAC2 Workshop – Paris July 10, 2014 34 / 34