openAI-math-dataset / lean /OAI /Probability /SKGap /Localization /BufferedSelectionDiagnostics.lean
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import Mathlib
import OAI.Probability.SKGap.Localization.LocalWeakBase
import OAI.Probability.SKGap.Localization.BufferedFlip
namespace OAI
section
noncomputable section
open scoped BigOperators Matrix.Norms.Frobenius
namespace SKGapCutoff.Recipe
open SKGap.Stein Primary Static
variable {n : ℕ}
lemma vector_flip_additive (F : VectorFields n) (x : Spin n) (k : Fin n) {B : ℝ}
(hD : SKGap.opNorm (derivativeMatrix F x)≤B) :
vectorNorm (F (flip x k))≤vectorNorm (F x)+2*B := by
have H : vectorNorm (F (flip x k))≤vectorNorm (F x)+vectorNorm (F (flip x k)-F x) := by
calc
_ = vectorNorm (F x+(F (flip x k)-F x)) := by congr 1;ext i;simp
_ ≤ _ := SKGap.vectorNorm_add_le _ _
have H' := (vector_flip_opNorm F x k).trans
(mul_le_mul_of_nonneg_left hD (by norm_num : (0:ℝ)≤2))
linarith
lemma vector_neighborhood_twice_buffer (F : VectorFields n) (E : Set (Spin n))
{B ρ : ℝ} (hB : 0≤B) (hD : ∀x,SKGap.opNorm (derivativeMatrix F x)≤B)
(hsmall : 4*B≤ρ*Real.sqrt (n:ℝ))
(hF : ∀x∈E,vectorNorm (F x)≤ρ*Real.sqrt (n:ℝ)) (x : Spin n)
(hx : x∈flipNeighborhood E) :
vectorNorm (F x)≤(2*ρ)*Real.sqrt (n:ℝ) ∧
∀k,vectorNorm (F (flip x k))≤(2*ρ)*Real.sqrt (n:ℝ) := by
have hbase : vectorNorm (F x)≤ρ*Real.sqrt (n:ℝ)+2*B := by
rcases hx with hx|⟨k,hk⟩
· exact (hF x hx).trans (le_add_of_nonneg_right (by positivity))
· have H:=vector_flip_additive F (flip x k) k (hD (flip x k))
simp only [flip_flip] at H
have H' := hF _ hk
linarith
refine ⟨by linarith,?_⟩
intro k
have H:=vector_flip_additive F x k (hD x)
linarith
theorem buffered_selected_initial_diagnostics {j K B A ε c r₀ R ρ : ℝ}
(hj : 0≤j) (hK : 0≤K) (hB : 0≤B) (hA : 1≤A) (hc : 0<c)
(hr₀ : 0<r₀) (hρ : 0<ρ) (hε : 0≤ε) (hAR : Real.exp (R/2)≤A)
(hbuffer : (K+4*j)*(2*ρ)<r₀)
(hR : (1+2*j)*(1+(1+(K+3*j)/c)*(K+4*j))*(2*ρ)≤R)
(hsmall : (3*Real.exp (R/2)+2)*((1+2*j)*(1+(1+(K+3*j)/c)*(K+4*j))*(2*ρ))≤ε)
(himplicit : (1+2*j)*(1+(1+(K+3*j)/c)*(K+4*j))*(2*ρ)≤
c/(2*(|j| *Real.exp (R/2)*(3*Real.exp (R/2)+16)+1)))
(k : ℕ) (f : KernelExpr) :
∃V≥0,∃S≥0,∃F≥0,∀n : ℕ,0<n→∀(J : Interaction n) (h : Fin n→ℝ),
J.IsSymm→SKGap.opNorm J≤K→¬SKGap.rootBad j A ε c r₀ J h→
(∀x l,l<k+3→ShapeBound (formalField j J h x l) B)→
4*(residualDerivativeBudget j K B k+residualDerivativeBudget j K B (k+1))≤ρ*Real.sqrt (n:ℝ)→
∃r:Fin n→ℝ,SKGap.tapField j J h r=0 ∧ (∀v,SKGap.tapField j J h v=0→v=r) ∧
∀e:Fin n→ℝ,vectorNorm e≤1→∃w y : VectorFields n,∃c₀:Spin n→ℝ,
∀x:Spin n,x∈flipNeighborhood {v | residualCutoff ρ j J h k v≠0}→
let a:=fun v=>j*(1-Primary.onsager j J h (k+1) v-SKGap.overlap r)
LiteralEquations J j f (fld j J h (k+1)) (mag j J h (k+1)) w y a c₀ r e x ∧
LiteralInitialDiagnostics
(literalInitial J j (Real.sqrt (n:ℝ)) f (fld j J h (k+1)) (mag j J h (k+1)) a c₀ r e)
w y (primaryTree j J h x (k+1)) x V S F (Real.exp (R/2)) := by
let η:=(1+2*j)*(1+(1+(K+3*j)/c)*(K+4*j))*(2*ρ)
let C:=localPrimaryBudget j K B (k+3)
let T:=(1+|j|)*C
have hη : 0≤η:=by dsimp [η];positivity
have hC : 0≤C:=localPrimaryBudget_nonneg hK hB _
have hT : 0≤T:=by dsimp [T];positivity
obtain ⟨V,hV,S,hS,F,hF,hdiag⟩:=literal_initial_diagnostics j R η c T K (2*C) C f hj hc hη hT
(mul_nonneg (by norm_num) hC) himplicit
refine ⟨V,hV,S,hS,F,hF,?_⟩
intro n hn J h hJ hop hbad hformal hdim
have hact : ∀v,vectorNorm (J.mulVec v)≤K*vectorNorm v := fun v=>
(vectorNorm_matrix_mul J v).trans (mul_le_mul_of_nonneg_right hop (vectorNorm_nonneg v))
obtain ⟨r,hr,hu,hstable⟩:=stable_primary_buffer hn hj hK hA hc hr₀
(mul_nonneg (by norm_num) hρ.le) hε hAR hbuffer hR hsmall J hJ h hact hbad
refine ⟨r,hr,hu,?_⟩
intro e he
let a:Spin n→ℝ:=fun v=>j*(1-Primary.onsager j J h (k+1) v-SKGap.overlap r)
obtain ⟨w,y,c₀,heq,hd⟩:=hdiag n hn J (fld j J h (k+1)) (mag j J h (k+1)) a r e hJ hop he
refine ⟨w,y,c₀,?_⟩
intro x hx
let BB:=residualDerivativeBudget j K B k+residualDerivativeBudget j K B (k+1)
have hBB : 0≤BB:=add_nonneg (residualDerivativeBudget_nonneg hK hB _)
(residualDerivativeBudget_nonneg hK hB _)
have hD₀ (v : Spin n) : SKGap.opNorm (derivativeMatrix (Primary.residual j J h k) v)≤BB :=
(residual_derivative_bound hn hK hB J h hop k
(fun v l hl=>hformal v l (by omega)) v).trans
(le_add_of_nonneg_right (residualDerivativeBudget_nonneg hK hB _))
have hD₁ (v : Spin n) : SKGap.opNorm (derivativeMatrix (Primary.residual j J h (k+1)) v)≤BB :=
(residual_derivative_bound hn hK hB J h hop (k+1)
(fun v l hl=>hformal v l (by omega)) v).trans
(le_add_of_nonneg_left (residualDerivativeBudget_nonneg hK hB _))
have H0:=vector_neighborhood_twice_buffer (Primary.residual j J h k)
{v | residualCutoff ρ j J h k v≠0} hBB hD₀ hdim
(fun v hv=>(residualCutoff_support hn hρ J h k v hv).1) x hx
have H1:=vector_neighborhood_twice_buffer (Primary.residual j J h (k+1))
{v | residualCutoff ρ j J h k v≠0} hBB hD₁ hdim
(fun v hv=>(residualCutoff_support hn hρ J h k v hv).2) x hx
have H:=hstable k x H0.1 H1.1
have Hf (v:Fin n):=hstable k (flip x v) (H0.2 v) (H1.2 v)
have hb:=primary_literal_derivative_diagnostics hn hK hB J h hop k hformal r x
change LiteralEquations J j f (fld j J h (k+1)) (mag j J h (k+1)) w y a c₀ r e x ∧ _
exact ⟨heq x H,hd x (primaryTree j J h x (k+1)) H Hf hb.1 hb.2.1
(primaryState_mag_bounded j J h (k+1) x) hb.2.2.1 hb.2.2.2.1 hb.2.2.2.2.1 hb.2.2.2.2.2⟩
end SKGapCutoff.Recipe
end
end
section
noncomputable section
open scoped BigOperators
namespace SKGapCutoff.Recipe
open SKGap.Stein Primary
variable {n : ℕ}
def literalCoefficientBudget (f : KernelExpr) (j R B : ℝ) : ℝ :=
1+|initialRegularBudget f j R B|+f.mass*Real.exp (R/2)+
(1+|j| *|B|)*phiExpr.mass*Real.exp (R/2)
lemma literalInitial_coefficientClass (J : Interaction n) (j d : ℝ) (f : KernelExpr)
(z m : VectorFields n) (a c : Spin n→ℝ) (r e : Fin n→ℝ) (x : Spin n)
{R B : ℝ} (hB : 0≤B) (ha : |a x|≤R) (haf : ∀k,|a (flip x k)|≤R)
(hc : |d*c x|≤B) (hcf : ∀k,|d*c (flip x k)|≤B) (N : ℕ) :
(literalInitial J j d f z m a c r e).CoefficientClass N x
(literalCoefficientBudget f j R B) := by
let D:=literalInitial J j d f z m a c r e
let K:=literalCoefficientBudget f j R B
have hreg:=literalInitial_regular J j d f z m a c r e x hB ha haf hc hcf
have h1 : 1≤K := by
have h2 : 0≤f.mass*Real.exp (R/2):=mul_nonneg f.mass_nonneg (Real.exp_pos _).le
have h3 : 0≤(1+|j| *|B|)*phiExpr.mass*Real.exp (R/2):=by positivity [phiExpr.mass_nonneg]
dsimp [K,literalCoefficientBudget];linarith [abs_nonneg (initialRegularBudget f j R B)]
have hR : initialRegularBudget f j R B≤K := by
have h0:=le_abs_self (initialRegularBudget f j R B)
have h2 : 0≤f.mass*Real.exp (R/2):=mul_nonneg f.mass_nonneg (Real.exp_pos _).le
have h3 : 0≤(1+|j| *|B|)*phiExpr.mass*Real.exp (R/2):=by positivity [phiExpr.mass_nonneg]
dsimp [K,literalCoefficientBudget];linarith
have hF : f.mass*Real.exp (R/2)≤K := by
have h3 : 0≤(1+|j| *|B|)*phiExpr.mass*Real.exp (R/2):=by positivity [phiExpr.mass_nonneg]
dsimp [K,literalCoefficientBudget];linarith [abs_nonneg (initialRegularBudget f j R B)]
have hP : phiExpr.mass*Real.exp (R/2)≤K := by
have h2 : 0≤f.mass*Real.exp (R/2):=mul_nonneg f.mass_nonneg (Real.exp_pos _).le
have h3 : 0≤|j| *|B| *(phiExpr.mass*Real.exp (R/2)):=by positivity [phiExpr.mass_nonneg]
dsimp [K,literalCoefficientBudget];nlinarith [abs_nonneg (initialRegularBudget f j R B)]
have hJP : |j| *B*(phiExpr.mass*Real.exp (R/2))≤K := by
have h2 : 0≤f.mass*Real.exp (R/2):=mul_nonneg f.mass_nonneg (Real.exp_pos _).le
have h3 : 0≤phiExpr.mass*Real.exp (R/2):=by positivity [phiExpr.mass_nonneg]
dsimp [K,literalCoefficientBudget];rw [abs_of_nonneg hB]
nlinarith [abs_nonneg (initialRegularBudget f j R B)]
refine ⟨h1,?_,?_,?_,?_⟩
· intro q hq b
simpa only [D,literalInitial] using (hreg.1 b).mono hR
· intro q hq b
simpa only [D,literalInitial] using hreg.2.mono hR
· intro q hq b i k t ht
cases b
· exact (initialKernel_segment_value f D.H D.θ x r R ha haf i k t ht).trans hF
· change |(-j)*(_)*initialKernel phiExpr (r i) _|≤K
rw [abs_mul,abs_mul,abs_neg]
exact (mul_le_mul (mul_le_mul_of_nonneg_left
(parameter_segment_value D.H D.θ x true hc hcf i k t ht) (abs_nonneg _))
(initialKernel_segment_value phiExpr D.H D.θ x r R ha haf i k t ht)
(abs_nonneg _) (mul_nonneg (abs_nonneg _) hB)).trans hJP
· intro q hq b i k t ht
exact (initialKernel_segment_value phiExpr D.H D.θ x r R ha haf i k t ht).trans hP
lemma literalInitial_seed_bound (J : Interaction n) (j : ℝ) (f : KernelExpr)
(z m : VectorFields n) (a c : Spin n→ℝ) (r e : Fin n→ℝ)
(hn : 0<n) (he : vectorNorm e≤1) :
(∑b,vectorNorm ((literalInitial J j (Real.sqrt (n:ℝ)) f z m a c r e).seed b))≤2 := by
have hd : 0<Real.sqrt (n:ℝ):=Real.sqrt_pos.mpr (Nat.cast_pos.mpr hn)
have hb : vectorNorm (fun i=>Real.tanh (r i)/Real.sqrt (n:ℝ))≤1 := by
have hv:=vectorNorm_tanh r
have hscale : (fun i=>Real.tanh (r i)/Real.sqrt (n:ℝ))=
(Real.sqrt (n:ℝ))⁻¹ • (fun i=>Real.tanh (r i)):=by ext i;simp [div_eq_mul_inv,mul_comm]
rw [hscale,vectorNorm_smul,abs_of_nonneg (inv_nonneg.mpr hd.le)]
calc
_ ≤ (Real.sqrt (n:ℝ))⁻¹*Real.sqrt (n:ℝ) := mul_le_mul_of_nonneg_left hv (inv_nonneg.mpr hd.le)
_ = 1 := inv_mul_cancel₀ hd.ne'
simp only [Fintype.sum_bool,literalInitial,Bool.false_eq_true,↓reduceIte]
change vectorNorm (fun i=>Real.tanh (r i)/Real.sqrt (n:ℝ))+vectorNorm e≤2
linarith
end SKGapCutoff.Recipe
end
end
end OAI