crossing probabilities in the critical 2d ising model
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Crossing probabilities in the critical 2D Ising model Dmitry Chelkak - PowerPoint PPT Presentation

Crossing probabilities in the critical 2D Ising model Dmitry Chelkak (PDMI Steklov, St.Petersburg) joint work with Stanislav Smirnov (Geneva) arXiv:0910.2045 : Universality in the 2D Ising model and conformal invariance of fermionic


  1. Crossing probabilities in the critical 2D Ising model Dmitry Chelkak (PDMI Steklov, St.Petersburg) joint work with Stanislav Smirnov (Geneva) arXiv:0910.2045 : �Universality in the 2D Ising model and conformal invariance of fermionic observables� , 50pp. Conformal Structures and Dynamics (CODY) Seillac, France, May 2�8, 2010

  2. 2D Ising model: (square grid) Spins σ i = +1 or − 1 . Hamiltonian: H = − � � ij � σ i σ j . Partition function: P ( conf . ) ∼ e − β H ∼ x # � + −� , where x = e − 2 β ∈ [0 , 1] .

  3. 2D Ising model: (square grid) Spins σ i = +1 or − 1 . Hamiltonian: H = − � � ij � σ i σ j . Partition function: P ( conf . ) ∼ e − β H ∼ x # � + −� , where x = e − 2 β ∈ [0 , 1] . Other �lattices� (planar graphs): � ij � J ij σ i σ j . H = − � P ( conf . ) ∼ � � ij � : σ i � = σ j x ij , x ij ∈ [0 , 1] .

  4. Phase transition, criticality: x > x crit x = x crit x < x crit (Dobrushin boundary values: two marked points a , b on the boundary; +1 on the arc ( ab ) , − 1 on the opposite arc ( ba ) ) [Peierls `36; Kramers-Wannier '41]: x crit = 1 √ 2+1

  5. Conformal invariance: Quantities (spin correlations, crossing probabilities, etc.) [Cardy's formula for percolation, etc.] � Geometry (interfaces, loop ensembles, etc.) [Schramm's SLEs, CLEs, etc.]

  6. Conformal invariance: Quantities (spin correlations, crossing probabilities, etc.) [Cardy's formula for percolation, etc.] � Geometry (interfaces, loop ensembles, etc.) [Schramm's SLEs, CLEs, etc.] � ⇑ �: SLE computations

  7. Conformal invariance: Quantities (spin correlations, crossing probabilities, etc.) [Cardy's formula for percolation, etc.] � Geometry (interfaces, loop ensembles, etc.) [Schramm's SLEs, CLEs, etc.] � ⇑ �: SLE computations � ⇓ �: Conformal martingale principle Ref: S. Smirnov. Towards conformal invariance of 2D lattice models. [ Proceedings of the international congress of mathematicians (ICM), Madrid, Spain, August 22�30, 2006 ]

  8. Spin- and FK-Ising models (random cluster representation): P ( spins conf . ) ∼ x # � + −� � � � = x + (1 − x ) · χ s ( i )= s ( j ) < ij >

  9. Spin- and FK-Ising models (random cluster representation): P ( spins conf . ) ∼ x # � + −� � � � = x + (1 − x ) · χ s ( i )= s ( j ) < ij > � x ) # open x # closed = (1 − edges conf .

  10. Spin- and FK-Ising models (random cluster representation): P ( spins & edges conf . ) ∼ (1 − x ) # open x # closed Open edges connect equal spins (but not all) Erase spins:

  11. Spin- and FK-Ising models (random cluster representation): P ( spins & edges conf . ) ∼ (1 − x ) # open x # closed Open edges connect equal spins (but not all) Erase spins: P ( edges conf . ) ∼ 2 # clusters (1 − x ) # open x # closed

  12. Spin- and FK-Ising models (random cluster representation): P ( edges conf . ) ∼ 2 # clusters (1 − x ) # open x # closed ∼ 2 # clusters [(1 − x ) / x ] # open

  13. Spin- and FK-Ising models (random cluster representation): P ( edges conf . ) ∼ 2 # clusters (1 − x ) # open x # closed ∼ 2 # clusters [(1 − x ) / x ] # open ∼ √ √ # loops [(1 − x ) / ( x 2)] # open 2 since # loops − # open edges = 2# clusters + const

  14. Spin- and FK-Ising models (random cluster representation): Self-dual case ( x = x crit ): √ # loops P ( loops conf . ) ∼ 2

  15. Spin- and FK-Ising models (random cluster representation): Self-dual case ( x = x crit ): √ # loops P ( loops conf . ) ∼ 2 Then P spin ( s ( i )= s ( j )) = 1 2(1 + P FK ( i ↔ j ))

  16. Convergence to SLE. Square lattice (Smirnov): Spin-Ising Theorem: FK-Ising Theorem: Interface → SLE(3) Interface → SLE(16/3)

  17. Universality. Isoradial graphs/rhombic lattices: Spin-Ising Theorem: FK-Ising Theorem: Interface → SLE(3) Interface → SLE(16/3) √ tan θ ( z ) sin θ ( z ) # loops � � � � Z = Z = 2 2 2 z : ⊕↔⊖ config . z config .

  18. Universality. Isoradial graphs/rhombic lattices: FK-Ising Theorem: Interface → SLE(16/3) FK-Ising local weights: sin θ 2 = sin( π 4 − θ 2 ) √ sin θ ( z ) # loops � � Z = 2 2 config . z

  19. Universality. Isoradial graphs/rhombic lattices: sin θ FK-Ising local weights: 2 = 2 ) =: r ( θ ) sin( π 4 − θ satis�es r (0) = 0 and Y − ∆ invariance: if α + β + γ = π 2 , then √ 2 · r ( α ) r ( β ) r ( γ ) . 1 = r ( α ) r ( β ) + r ( α ) r ( γ ) + r ( β ) r ( γ ) + ↔

  20. Universality. Isoradial graphs/rhombic lattices: ↔ Y- ∆ invariance :

  21. Universality. Isoradial graphs/rhombic lattices: ↔ Y- ∆ invariance : ↔ √ 2 · r ( α ) r ( β ) r ( γ ) 1 = r ( α ) r ( β ) + r ( α ) r ( γ ) + r ( β ) r ( γ ) +

  22. Conformal martingale (discrete fermionic observable): FK-Ising Theorem: Interface → SLE(16/3) √ sin θ ( z ) # loops � � Z = 2 2 config . z

  23. Conformal martingale (discrete fermionic observable): Discrete holomorphic FK-Ising Theorem: observable having the Interface → SLE(16/3) martingale property: F δ = E χ [ z ∈ γ ] · e − i 2 · wind ( γ, b → z ) , where z ∈ ♦ . √ sin θ ( z ) # loops � � Z = 2 2 z config .

  24. Conformal martingale (discrete fermionic observable): Discrete holomorphic Boundary Value Problem: observable having the ◮ F ( z ) is holomorphic in Ω ; martingale property: 1 2 ] = 0 ◮ Im [ F ( ζ )( τ ( ζ )) for ζ ∈ ∂ Ω \ { a , b } , F δ = E χ [ z ∈ γ ] · e − i 2 · wind ( γ, b → z ) , where τ ( ζ ) goes from a to b ; where z ∈ ♦ . ◮ (mult.) normalization.

  25. Conformal martingale (discrete fermionic observable): Discrete holomorphic Boundary Value Problem: observable having the ◮ F ( z ) is holomorphic in Ω ; martingale property: 1 2 ] = 0 ◮ Im [ F ( ζ )( τ ( ζ )) for ζ ∈ ∂ Ω \ { a , b } , F δ = E χ [ z ∈ γ ] · e − i 2 · wind ( γ, b → z ) , where τ ( ζ ) goes from a to b ; where z ∈ ♦ . ◮ (mult.) normalization. Solution: Φ ′ ( z ) , � F ( z ) = Φ : (Ω; a , b ) → ( S , −∞ , + ∞ ) , S = R × (0 , 1) .

  26. Universality. Convergence to SLE (FK-Ising): F δ is a discrete holomorphic martingale. Then: ◮ Take a �discrete integral� H δ := Im ( F δ ) 2 ( z ) d δ z � (miraculously, it is well de�ned); ◮ H δ is NOT discrete harmonic, so prove that it is �approximately� harmonic;

  27. Universality. Convergence to SLE (FK-Ising): F δ is a discrete holomorphic martingale. Then: ◮ Take a �discrete integral� H δ := Im ( F δ ) 2 ( z ) d δ z � (miraculously, it is well de�ned); ◮ H δ is NOT discrete harmonic, so prove that it is �approximately� harmonic; ◮ Prove that H δ is uniformly (w.r.t. Ω ) close to its eventual limit Im Φ = ω ( · , ba , Ω) inside Ω ; √ ◮ Prove that F δ is uniformly close to Φ ′ inside Ω ; This needs some work (see arXiv:0910.2045,0810.2188 ).

  28. Universality. Convergence to SLE (FK-Ising): F δ is a discrete holomorphic martingale. Then: ◮ Take a �discrete integral� H δ := Im ( F δ ) 2 ( z ) d δ z � (miraculously, it is well de�ned); ◮ H δ is NOT discrete harmonic, so prove that it is �approximately� harmonic; ◮ Prove that H δ is uniformly (w.r.t. Ω ) close to its eventual limit Im Φ = ω ( · , ba , Ω) inside Ω ; √ ◮ Prove that F δ is uniformly close to Φ ′ inside Ω ; This needs some work (see arXiv:0910.2045,0810.2188 ). ◮ Then deduce convergence of an interface to SLE (16 / 3) from the convergence of the martingale observable.

  29. Universality. Convergence to SLE (FK-Ising): ◮ Then deduce convergence of an interface to SLE (16 / 3) from the convergence of the martingale observable. Interfaces → SLE(16/3) . In which topology? ◮ Convergence of driving forces in the Loewner equation. Directly follows from the convergence of observable. ◮ Convergence of curves themselves. Needs some a priori information (estimates of some crossing probabilities). (Aizenman, Burchard, '99; Kemppainen, Smirnov '09)

  30. FK-Ising crossing probability: vs. P δ Q δ

  31. FK-Ising crossing probability: P δ Theorem : For all r , R , t > 0 there exists ε ( δ ) → 0 as δ → 0 such that if B (0 , r ) ⊂ Ω δ ⊂ B (0 , R ) and either both ω (0; Ω δ ; a δ b δ ) , ω (0; Ω δ ; c δ d δ ) or both ω (0; Ω δ ; b δ c δ ) , ω (0; Ω δ ; d δ a δ ) are � t (i.e., quadrilateral Ω δ has no neighboring small arcs), then Q δ | P δ − P (Ω δ ; a δ , b δ , c δ , d δ ) | � ε ( δ ) (uniformly w.r.t. Ω δ and ♦ δ ), where P depends only on the conformal modulus of (Ω δ ; a δ , b δ , c δ , d δ ) .

  32. FK-Ising crossing probability: P δ In the half-plane H : for u ∈ [0 , 1] , P ( H ; [1 − u , 1] ↔ [ ∞ , 0]) 1 − √ 1 − u � = . 1 −√ u + 1 −√ 1 − u � � Q δ This is a special case of a hypergeometric formula for crossings in a general FK model. In the Ising case it becomes algebraic and furthermore can be rewritten in several ways.

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