openAI-math-dataset / lean /OAI /Probability /SKGap /Gaussian /GaussianReductionPointwise.lean
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Add lean source and binary files (part 128)
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import Mathlib
import OAI.Probability.SKGap.Localization.ConditionalHessianLaw
import OAI.Probability.SKGap.Localization.ScalarEmpirical
import OAI.Probability.SKGap.Gaussian.ScalarGaussianReductionAlgebra
namespace OAI
section
noncomputable section
namespace SKGap
open Matrix Real Set MeasureTheory ProbabilityTheory GaussianDensity
open scoped BigOperators Matrix.Norms.Frobenius ENNReal
lemma tapField_planted_observation {n : ℕ} [NeZero n] (j t σ : ℝ)
(y x : Fin n → ℝ) (W : Matrix (Fin n) (Fin n) ℝ) :
tapField j (plantedInteraction j W) (fun i=>t+x i) y=
empiricalObservation j t σ y-W*ᵥmagnetization y-x := by
ext i
simp only [tapField,plantedInteraction,Matrix.add_apply,Matrix.smul_apply,
smul_eq_mul,vecMulVec_apply,mul_one,add_mul,Finset.sum_add_distrib,
← Finset.mul_sum,empiricalObservation,scalarD,scalarM,integral_empiricalLaw,
Fintype.card_fin,scalarBMoment,scalarQMoment_empirical_overlap,onsager,
magnetization,Pi.sub_apply,Matrix.mulVec,dotProduct]
ring
lemma scalar_density_cancellation {n : ℕ} [NeZero n] {j t σ : ℝ}
(hj : 0 ≤ j) (ht : 0 ≤ t) (hσ : 0 < σ) (y : Fin n → ℝ) :
rankOneDensity ((j/(n:ℝ))*(magnetization y⬝ᵥmagnetization y)+(t+σ^2))
(j/(n:ℝ)) (magnetization y) (empiricalObservation j t σ y)*
exp ((n:ℝ)*j*(1-overlap y)^2/2)=
sqrt (scalarS j (scalarEmpirical y t σ)/
(scalarS j (scalarEmpirical y t σ)+j*scalarQMoment (empiricalLaw y)))*scalarIntegrand j t σ y := by
let p := scalarEmpirical y t σ
let q := scalarQMoment (empiricalLaw y)
let s := scalarS j p
let S := s+j*q
have hn : (n:ℝ) ≠ 0 := by exact_mod_cast NeZero.ne n
have hq : 0 ≤ q := (scalarQMoment_bounds _).1
have hs : 0 < s := add_pos_of_pos_of_nonneg (add_pos_of_nonneg_of_pos ht (sq_pos_of_pos hσ)) (mul_nonneg hj hq)
have hS : 0 < S := add_pos_of_pos_of_nonneg hs (mul_nonneg hj hq)
have hm : magnetization y⬝ᵥmagnetization y=(n:ℝ)*q := by
dsimp [q]
rw [scalarQMoment_empirical_overlap]
simp only [overlap,magnetization,dotProduct,← pow_two]
field_simp
have hx : (fun i=>y i-scalarD j p)⬝ᵥmagnetization y=(n:ℝ)*scalarA j p := by
rw [dotProduct_comm]
exact scalarA_empirical_sum j t σ y
have hs' : (j/(n:ℝ))*(magnetization y⬝ᵥmagnetization y)+(t+σ^2)=s := by
rw [hm]; dsimp [s,scalarS,p,scalarEmpirical,q]; field_simp; ring
rw [hs']
have hobs : empiricalObservation j t σ y=(fun i=>y i-scalarD j p)+(j*(1-q)) • magnetization y := rfl
rw [hobs]
have hc := rankOneDensity_cancellation hn hs hS.ne' (rfl : S=s+j*q)
(fun i=>y i-scalarD j p) (magnetization y) hm hx (b := 1-q)
have hb : 1-overlap y=1-q := by rw [← scalarQMoment_empirical_overlap]
rw [hb,hc]
have hd : productNormal (scalarD j p) s y=radialDensity (sqrt s) (fun i=>y i-scalarD j p) := by
unfold productNormal
rw [show s.toNNReal=NNReal.mk s hs.le from by ext; exact Real.coe_toNNReal _ hs.le]
exact gaussian_density_shift _ hs.le y
rw [scalarIntegrand,show scalarEmpirical y t σ=p from rfl,hd]
simp only [Fintype.card_fin]
have he : (n:ℝ)*j*(scalarA j p-s*(1-q))^2/(2*s*S)=(n:ℝ)*scalarPsi j p := by
dsimp [S,s,q,p,scalarPsi,scalarEmpirical]
ring
rw [he]
ring
end SKGap
end
end
end OAI