openAI-math-dataset / lean /OAI /Probability /SKGap /Stability /FieldIntegralReduction.lean
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import Mathlib
import OAI.Probability.SKGap.Localization.CubeApprox
import OAI.Probability.SKGap.Localization.LocalVolumeChange
import OAI.Probability.SKGap.Matrix.ConditionalMiddleNorm
import OAI.Probability.SKGap.Gaussian.GaussianReductionPointwise
namespace OAI
section
noncomputable section
namespace SKGap
open Matrix Real Set MeasureTheory ProbabilityTheory GaussianDensity
open scoped BigOperators Matrix.Norms.Frobenius ENNReal
attribute [local fun_prop] continuous_radialDensity
def fieldMollifier {n : ℕ} (j σ : ℝ) (J : Matrix (Fin n) (Fin n) ℝ)
(h y : Fin n → ℝ) : ℝ :=
radialDensity σ (tapField j J h y)*exp ((n:ℝ)*j*(1-overlap y)^2/2)
def fieldIntegral {n : ℕ} (j σ : ℝ) (J : Matrix (Fin n) (Fin n) ℝ)
(h : Fin n → ℝ) (E : Set (Fin n → ℝ)) : ℝ≥0∞ :=
∫⁻ y in E, ENNReal.ofReal (fieldMollifier j σ J h y)
lemma continuous_fieldMollifier {n : ℕ} (j σ : ℝ) :
Continuous (fun p : Matrix (Fin n) (Fin n) ℝ × ((Fin n → ℝ) × (Fin n → ℝ))=>
fieldMollifier j σ p.1 p.2.1 p.2.2) := by
unfold fieldMollifier tapField onsager overlap magnetization
exact ((continuous_radialDensity σ).comp (by fun_prop)).mul (by fun_prop)
def conditionalFieldWeight {n : ℕ} [NeZero n] (j t σ : ℝ)
(E : Set (((Fin n×Fin n) → ℝ) × (Fin n → ℝ))) (y : Fin n → ℝ) : ℝ≥0∞ :=
conditionalGoeLaw (j/(n:ℝ)) (t+σ^2) (magnetization y) (empiricalObservation j t σ y)
{W | (W,y) ∈ E}
lemma field_noise_convolution {n : ℕ} [NeZero n] {j t σ : ℝ} (ht : 0 ≤ t) (hσ : 0 < σ)
(y : Fin n → ℝ) (f : ((Fin n×Fin n) → ℝ) → ℝ≥0∞) (g : MatrixCoordinates (Fin n) → ℝ) :
(∫⁻ x, ENNReal.ofReal (fieldMollifier j σ
(plantedInteraction j (goeMatrix (j/(n:ℝ)) g)) (fun i=>t+x i) y)*
f (fun p=>goeMatrix (j/(n:ℝ)) g p.1 p.2)
∂Measure.pi (fun _ : Fin n=>gaussianReal 0 t.toNNReal))=
ENNReal.ofReal (exp ((n:ℝ)*j*(1-overlap y)^2/2))*
(ENNReal.ofReal (radialDensity (sqrt (t+σ^2))
(empiricalObservation j t σ y-goeMatrix (j/(n:ℝ)) g*ᵥmagnetization y))*
f (fun p=>goeMatrix (j/(n:ℝ)) g p.1 p.2)) := by
simp only [fieldMollifier,tapField_planted_observation j t σ,
ENNReal.ofReal_mul (radialDensity_pos hσ _).le]
rw [lintegral_mul_const _ (by fun_prop),lintegral_mul_const _ (by fun_prop),gaussian_radial_convolution ht hσ]
ring
theorem field_reduction_fixed {n : ℕ} [NeZero n] {j t σ : ℝ}
(hj : 0 ≤ j) (ht : 0 ≤ t) (hσ : 0 < σ)
(E : Set (((Fin n×Fin n) → ℝ) × (Fin n → ℝ))) (hE : MeasurableSet E) (y : Fin n → ℝ) :
(∫⁻ g, ∫⁻ x, ENNReal.ofReal (fieldMollifier j σ
(plantedInteraction j (goeMatrix (j/(n:ℝ)) g)) (fun i=>t+x i) y)*
E.indicator (fun _=>1) ((fun p=>goeMatrix (j/(n:ℝ)) g p.1 p.2),y)
∂Measure.pi (fun _ : Fin n=>gaussianReal 0 t.toNNReal)
∂gaussianCoordinates (MatrixCoordinates (Fin n)))=
ENNReal.ofReal (sqrt (scalarS j (scalarEmpirical y t σ)/
(scalarS j (scalarEmpirical y t σ)+j*scalarQMoment (empiricalLaw y)))*scalarIntegrand j t σ y)*
conditionalFieldWeight j t σ E y := by
let f : ((Fin n×Fin n) → ℝ) → ℝ≥0∞ := fun W=>E.indicator (fun _=>1) (W,y)
have hf : Measurable f := measurable_const.indicator (hE.preimage (by fun_prop))
change (∫⁻ g, ∫⁻ x, ENNReal.ofReal (fieldMollifier j σ _ _ y)*f _ ∂_ ∂_)=_
simp_rw [field_noise_convolution ht hσ y f]
have hgf : Measurable (fun g : MatrixCoordinates (Fin n) → ℝ => f (fun p=>goeMatrix (j/(n:ℝ)) g p.1 p.2)) := hf.comp (by unfold goeMatrix; fun_prop)
have hgr : Measurable (fun g : MatrixCoordinates (Fin n) → ℝ => ENNReal.ofReal
(radialDensity (sqrt (t+σ^2)) (empiricalObservation j t σ y-goeMatrix (j/(n:ℝ)) g*ᵥmagnetization y))) := by
apply Measurable.ennreal_ofReal
apply (continuous_radialDensity _).measurable.comp
unfold Matrix.mulVec dotProduct goeMatrix
fun_prop
erw [lintegral_const_mul _ (hgr.mul hgf),goe_pointwise_conditional_integral
(div_nonneg hj (Nat.cast_nonneg n)) (add_pos_of_nonneg_of_pos ht (sq_pos_of_pos hσ)) _ _ f hf]
have hfi : (∫⁻ W,f W ∂conditionalGoeLaw (j/(n:ℝ)) (t+σ^2) (magnetization y)
(empiricalObservation j t σ y))=conditionalFieldWeight j t σ E y := by
change (∫⁻ W, {W | (W,y)∈E}.indicator (fun _=>(1 : ℝ≥0∞)) W ∂_)=_
have hset : MeasurableSet {W : (Fin n×Fin n) → ℝ | (W,y)∈E} := hE.preimage (by fun_prop)
rw [lintegral_indicator hset,lintegral_const]
simp [conditionalFieldWeight]
rw [hfi,← mul_assoc,← ENNReal.ofReal_mul (exp_pos _).le]
congr 1
congr 1
rw [mul_comm,scalar_density_cancellation hj ht hσ y]
end SKGap
end
end
section
noncomputable section
namespace SKGap
open Matrix Real Set MeasureTheory ProbabilityTheory GaussianDensity
open scoped BigOperators ENNReal
lemma fieldMollifier_eq_localAction {n : ℕ} (j σ : ℝ) (J : Matrix (Fin n) (Fin n) ℝ)
(h y : Field n) : fieldMollifier j σ J h y=
((sqrt (2*Real.pi)*σ)⁻¹)^n*exp (localAction j σ J h y) := by
unfold fieldMollifier radialDensity localAction varianceAverage
rw [Fintype.card_fin,vectorNorm_sq,mul_assoc,← exp_add]
simp only [vectorSqNorm,dotProduct,pow_two]
lemma fieldIntegral_eq_localVolume {n : ℕ} {σ : ℝ} (hσ : 0 < σ) (j : ℝ)
(J : Matrix (Fin n) (Fin n) ℝ) (h : Field n) (E : Set (Field n)) :
fieldIntegral j σ J h E=localVolume j σ J h E := by
unfold fieldIntegral localVolume
simp_rw [fieldMollifier_eq_localAction,ENNReal.ofReal_mul (by positivity : 0 ≤ ((sqrt (2*Real.pi)*σ)⁻¹)^n)]
exact lintegral_const_mul _ (Real.measurable_exp.comp (localAction_continuous j σ J h).measurable |>.ennreal_ofReal)
end SKGap
end
end
section
noncomputable section
namespace SKGap
open Matrix Real Set MeasureTheory ProbabilityTheory GaussianDensity
open scoped BigOperators Matrix.Norms.Frobenius ENNReal
lemma outer_add_rank_le_two {ι : Type*} [Fintype ι] [DecidableEq ι]
(u v w z : ι → ℝ) : (vecMulVec u v+vecMulVec w z).rank ≤ 2 := by
let Q : Matrix ι (Fin 2) ℝ := fun i k=>![u i,w i] k
let R : Matrix (Fin 2) ι ℝ := fun k i=>![v i,z i] k
have he : vecMulVec u v+vecMulVec w z=Q*R := by
ext i k
change u i*v k+w i*z k=∑ l : Fin 2,Q i l*R l k
simp [Q,R,Fin.sum_univ_two]
rw [he]
exact (rank_mul_le_left Q R).trans (by simpa using rank_le_card_width Q)
lemma operator_outer_vector_le {n : ℕ} (u v : Field n) :
opNorm (vecMulVec u v) ≤ vectorNorm u*vectorNorm v :=
operator_vecMulVec_le (WithLp.toLp 2 u) (WithLp.toLp 2 v)
lemma vectorNorm_const_one (n : ℕ) : vectorNorm (fun _ : Fin n=>(1:ℝ))=sqrt (n:ℝ) := by
apply (sq_eq_sq₀ (vectorNorm_nonneg _) (sqrt_nonneg _)).mp
rw [vectorNorm_sq,sq_sqrt (Nat.cast_nonneg _)]
simp [vectorSqNorm]
lemma spinVariance_norm_bound {n : ℕ} (y : Field n) :
vectorNorm (spinVariance y) ≤ sqrt (n:ℝ) := by
apply vectorNorm_le_of_sq_sum (sqrt_nonneg _)
rw [sq_sqrt (Nat.cast_nonneg _)]
calc
_ ≤ ∑ _i : Fin n,(1:ℝ) := Finset.sum_le_sum (fun i _=>by
have h0 := (spinVariance_pos y i).le
have h1 := spinVariance_le_one y i
nlinarith)
_ = _ := by simp
lemma weightedMagnetization_norm_bound {n : ℕ} (y : Field n) :
vectorNorm (fun i=>magnetization y i*spinVariance y i) ≤ sqrt (n:ℝ) := by
have hh := vectorNorm_diag_le zero_le_one (x := magnetization y)
(a := spinVariance y) (fun i=>(abs_of_pos (spinVariance_pos y i)).trans_le (spinVariance_le_one y i))
simpa only [one_mul,mul_comm] using hh.trans (by simpa only [one_mul] using magnetization_norm_bound y)
def plantedJacobianPerturbation {n : ℕ} (j : ℝ) (y : Field n) : Matrix (Fin n) (Fin n) ℝ :=
(-j/(n:ℝ)) • vecMulVec (fun _=>1) (spinVariance y)+
(-2*j/(n:ℝ)) • vecMulVec (magnetization y) (fun i=>magnetization y i*spinVariance y i)
lemma plantedJacobianPerturbation_rank {n : ℕ} (j : ℝ) (y : Field n) :
(plantedJacobianPerturbation j y).rank ≤ 2 := by
have he : plantedJacobianPerturbation j y=
vecMulVec (fun _=>-j/(n:ℝ)) (spinVariance y)+
vecMulVec (fun i=>(-2*j/(n:ℝ))*magnetization y i) (fun i=>magnetization y i*spinVariance y i) := by
ext i k
simp [plantedJacobianPerturbation,vecMulVec_apply,mul_assoc]
rw [he]
exact outer_add_rank_le_two _ _ _ _
lemma plantedJacobianPerturbation_norm {n : ℕ} (hn : 0 < n) {j : ℝ} (hj : 0 ≤ j) (y : Field n) :
opNorm (plantedJacobianPerturbation j y) ≤ 3*j := by
have hn0 : (0:ℝ) < n := Nat.cast_pos.mpr hn
have h1 : opNorm (vecMulVec (fun _ : Fin n=>1) (spinVariance y)) ≤ (n:ℝ) := by
apply (operator_outer_vector_le _ _).trans
rw [vectorNorm_const_one]
exact (mul_le_mul_of_nonneg_left (spinVariance_norm_bound y) (sqrt_nonneg _)).trans_eq (mul_self_sqrt hn0.le)
have h2 : opNorm (vecMulVec (magnetization y) (fun i=>magnetization y i*spinVariance y i)) ≤ (n:ℝ) := by
apply (operator_outer_vector_le _ _).trans
exact (mul_le_mul (magnetization_norm_bound y) (weightedMagnetization_norm_bound y)
(vectorNorm_nonneg _) (sqrt_nonneg _)).trans_eq (mul_self_sqrt hn0.le)
have hh := real_opNorm_add ((-j/(n:ℝ)) • vecMulVec (fun _=>1) (spinVariance y))
((-2*j/(n:ℝ)) • vecMulVec (magnetization y) (fun i=>magnetization y i*spinVariance y i))
change opNorm (plantedJacobianPerturbation j y) ≤ _ at hh
simp only [real_opNorm_smul,abs_div,abs_of_pos hn0,abs_neg,abs_of_nonneg hj] at hh
have hab : |-(2:ℝ)*j|=2*j := by rw [abs_mul,abs_neg,abs_of_nonneg (by norm_num : (0:ℝ) ≤ 2),abs_of_nonneg hj]
rw [hab] at hh
apply hh.trans
have ha := mul_le_mul_of_nonneg_left h1 (div_nonneg hj hn0.le)
have hb := mul_le_mul_of_nonneg_left h2 (div_nonneg (mul_nonneg (by norm_num : (0:ℝ) ≤ 2) hj) hn0.le)
have he1 : j/(n:ℝ)*(n:ℝ)=j := div_mul_cancel₀ j hn0.ne'
have he2 : 2*j/(n:ℝ)*(n:ℝ)=2*j := div_mul_cancel₀ (2*j) hn0.ne'
rw [he1] at ha
rw [he2] at hb
linarith
lemma fieldJacobian_planted_formula {n : ℕ} (hn : 0 < n) (j : ℝ)
(W : Matrix (Fin n) (Fin n) ℝ) (y : Field n) :
fieldJacobian j (plantedInteraction j W) y=
1+((j*coordAverage (spinVariance y)) • 1-W)*diagonal (spinVariance y)+
plantedJacobianPerturbation j y := by
have hb : coordAverage (spinVariance y)=1-overlap y := by
simpa only [coordAverage,Fintype.card_fin,varianceAverage] using (varianceAverage_eq_average hn y).symm
ext i k
simp only [Matrix.add_apply]
erw [Matrix.mul_diagonal]
simp only [fieldJacobian,hessianCore,plantedInteraction,plantedJacobianPerturbation,
Matrix.add_apply,Matrix.sub_apply,Matrix.smul_apply,smul_eq_mul,vecMulVec_apply,hb,onsager,
Matrix.one_apply]
by_cases he : i=k <;> simp only [he,↓reduceIte] <;> ring
end SKGap
end
end
end OAI