openAI-math-dataset / lean /OAI /Probability /SKGap /Matrix /GOEDiagonalSquare.lean
roseking's picture
Add lean source and binary files (part 128)
7d9f027 verified
Raw History Blame Contribute Delete
7.24 kB
import Mathlib
import OAI.Probability.SKGap.Gaussian.GOEGaussian
import OAI.Probability.SKGap.Matrix.WordBiasCutoff
namespace OAI
section
noncomputable section
namespace SKGap
open Matrix Real MeasureTheory ProbabilityTheory Set
open scoped BigOperators Matrix.Norms.Frobenius
lemma gaussian_goe_centered {ι : Type*} [Fintype ι] [DecidableEq ι] (r : ℝ)
(x : EuclideanSpace ℝ (MatrixCoordinates ι)) :
matrixCentered (fun y : EuclideanSpace ℝ (MatrixCoordinates ι)=>goeMatrix r y) x=goeMatrix r x := by
have hm : matrixEntryMean (fun y : EuclideanSpace ℝ (MatrixCoordinates ι)=>goeMatrix r y)=0 := by
ext i k
exact goe_mean_zero r i k
simp only [matrixCentered,hm,sub_zero]
theorem goe_diagonal_frobenius_tail {j : ℝ} (hj : 0<j) {n : ℕ} (hn : 1≤n) :
(Measure.pi (fun _ : MatrixCoordinates (Fin n)=>gaussianReal 0 1))
{g | matrixNormConstant*sqrt (2*j)+1<
‖Matrix.diagonal (fun i=>goeMatrix (j/n) g i i)‖}≤
ENNReal.ofReal (exp (-2*(n:ℝ)/(π^2*(sqrt (2*j))^2))) := by
have hs : 0<sqrt (2*j) := sqrt_pos.mpr (by positivity)
have hL : LipschitzWith (Real.toNNReal (sqrt (2*j)*1/sqrt n))
(fun x : EuclideanSpace ℝ (MatrixCoordinates (Fin n))=>goeMatrix (j/n) x) := by
apply (goeMatrix_L2_lipschitz (j/n)).weaken
change sqrt (2*(j/n))≤(Real.toNNReal (sqrt (2*j)*1/sqrt n):ℝ)
rw [Real.coe_toNNReal _ (by positivity),mul_one,show 2*(j/n)=(2*j)/n by ring,Real.sqrt_div (by positivity)]
have ht := gaussianMatrix_scaled_semnorm_tail hn hs (by norm_num : (0:ℝ)<1)
(by norm_num : (0:ℝ)≤1) (by norm_num : (0:ℝ)≤1) hL false
simpa only [one_pow,mul_one,gaussian_goe_centered,matrixWordSeminorm,Bool.false_eq_true,ite_false,
Matrix.frobenius_norm_diagonal,diagonalSeminorm,diagonalVector] using ht
end SKGap
end
end
section
noncomputable section
namespace SKGap
open Matrix Real Set MeasureTheory ProbabilityTheory Filter
open scoped BigOperators Matrix.Norms.Frobenius SchwartzMap Topology
variable {ι : Type*} [Fintype ι] [DecidableEq ι]
def removeDiagonal (M : Matrix ι ι ℝ) : Matrix ι ι ℝ := M-Matrix.diagonal (fun i=>M i i)
lemma matrixWordSeminorm_le (p : Bool) (M : Matrix ι ι ℝ) : matrixWordSeminorm p M≤‖M‖ := by
cases p
· exact diagonalSeminorm_le M
· exact offDiagonalSeminorm_le M
lemma actualWord_removeDiagonal [Nonempty ι] (f : 𝓢(ℝ,ℂ)) {R j A D : ℝ}
(hR : 0≤R) (hj : 0≤j) (hA : 0≤A) (hD : 0≤D) {a : ι→ℝ}
(ha : ∀ i,0≤a i) (haA : ∀ i,a i≤A) (L : ℕ) (F : List (WordLetter ι))
(hFL : F.length≤L) (hF : ∀ l∈F,l.bounded D) (M : Matrix ι ι ℝ) :
‖actualWord f R hR j a 1 F (removeDiagonal M)-actualWord f R hR j a 1 F M‖≤
(L:ℝ)*(actualWordBound f R j A D)^L*‖Matrix.diagonal (fun i=>M i i)‖ := by
have hB : 1≤actualWordBound f R j A D := by
have hh := path_constants_nonneg f hR hj hA
unfold actualWordBound
linarith
have ht := ((actualWord_bounds f hR hj hA hD ha haA
(show (1:ℝ)∈Icc 0 1 from ⟨zero_le_one,le_rfl⟩) F hF).2).dist_le_mul (removeDiagonal M) M
have hd : ‖removeDiagonal M-M‖=‖Matrix.diagonal (fun i=>M i i)‖ := by
rw [show removeDiagonal M-M= -Matrix.diagonal (fun i=>M i i) by unfold removeDiagonal;abel,norm_neg]
simp only [dist_eq_norm,NNReal.coe_mul,NNReal.coe_natCast,hd] at ht
apply ht.trans
apply mul_le_mul_of_nonneg_right _ (norm_nonneg _)
exact mul_le_mul (by exact_mod_cast hFL) (pow_le_pow_right₀ hB hFL)
(pow_nonneg (zero_le_one.trans hB) _) (Nat.cast_nonneg _)
theorem actual_word_simultaneous_zerodiag_of_cutoff {j A D : ℝ} (hj : 0<j) (hA : 0<A)
(hs : sqrt j*A<1) (hD : 1≤D) (hAD : A≤D) (L : ℕ) (f : 𝓢(ℝ,ℂ))
(hf : ∀ x∈Icc ((1-sqrt j*A)^2/4) (2+A*(2*sqrt j+1+j*A)),f x=(x:ℂ)⁻¹)
(hR : 0≤2*sqrt j+1+1) :
∃ (C : ℝ) (N : ℕ),0<C ∧ 0<N ∧
∀ n,N≤n → ∀ p : Bool,
(Measure.pi (fun _ : MatrixCoordinates (Fin n)=>gaussianReal 0 1))
{g | ∃ (a : Fin n→ℝ) (F : List (WordLetter (Fin n))),
(∀ i,a i∈Icc 0 A) ∧ F.length≤L ∧ (∀ l∈F,l.bounded D) ∧ inverseCount F≤1 ∧
C< matrixWordSeminorm p
(actualWord f (2*sqrt j+1+1) hR j a 1 F (removeDiagonal (goeMatrix (j/n) g))-
Matrix.diagonal (wordPrediction j a 1 F))} ≤
(wordPatternSet L L).card*ENNReal.ofReal (3*exp (-(n:ℝ)))+
ENNReal.ofReal (exp (-2*(n:ℝ)/(π^2*(sqrt (2*j))^2))) := by
obtain ⟨C,N,hC,hN,hw⟩ := actual_word_simultaneous_prediction_of_cutoff hj hA hs hD hAD L f hf hR
let R := 2*sqrt j+1+1
let B := actualWordBound f R j A D
let T := matrixNormConstant*sqrt (2*j)+1
have hD0 := zero_le_one.trans hD
have hB : 0≤B := (actualWordBound_pos f hR hj.le hA.le hD0).le
have hT : 0≤T := by
have hc := matrixNormConstant_bounds.1
dsimp [T]
positivity
let K := (L:ℝ)*B^L*T
have hK : 0≤K := by dsimp [K];positivity
refine ⟨C+K,N,by linarith,hN,?_⟩
intro n hn p
have hn0 : 0<n := hN.trans_le hn
let : Nonempty (Fin n) := Fin.pos_iff_nonempty.mp hn0
let E := {g : MatrixCoordinates (Fin n)→ℝ | ∃ (a : Fin n→ℝ) (F : List (WordLetter (Fin n))),
(∀ i,a i∈Icc 0 A) ∧ F.length≤L ∧ (∀ l∈F,l.bounded D) ∧ inverseCount F≤1 ∧
C < matrixWordSeminorm p (actualWord f R hR j a 1 F (goeMatrix (j/n) g)-Matrix.diagonal (wordPrediction j a 1 F))}
let V := {g : MatrixCoordinates (Fin n)→ℝ | T<‖Matrix.diagonal (fun i=>goeMatrix (j/n) g i i)‖}
have hsub : {g | ∃ (a : Fin n→ℝ) (F : List (WordLetter (Fin n))),
(∀ i,a i∈Icc 0 A) ∧ F.length≤L ∧ (∀ l∈F,l.bounded D) ∧ inverseCount F≤1 ∧
C+K < matrixWordSeminorm p (actualWord f R hR j a 1 F (removeDiagonal (goeMatrix (j/n) g))-
Matrix.diagonal (wordPrediction j a 1 F))}⊆E∪V := by
intro g hg
by_contra hh
obtain ⟨a,F,ha,hFL,hF,hI,hbad⟩ := hg
have hd : ‖Matrix.diagonal (fun i=>goeMatrix (j/n) g i i)‖≤T := by
by_contra hd
exact hh (Or.inr (lt_of_not_ge hd))
have he : matrixWordSeminorm p (actualWord f R hR j a 1 F (goeMatrix (j/n) g)-Matrix.diagonal (wordPrediction j a 1 F))≤C := by
by_contra he
exact hh (Or.inl ⟨a,F,ha,hFL,hF,hI,lt_of_not_ge he⟩)
have hp := (matrixWordSeminorm_le p _).trans (actualWord_removeDiagonal f hR hj.le hA.le hD0
(fun i=>(ha i).1) (fun i=>(ha i).2) L F hFL hF (goeMatrix (j/n) g))
have hp' : matrixWordSeminorm p
(actualWord f R hR j a 1 F (removeDiagonal (goeMatrix (j/n) g))-actualWord f R hR j a 1 F (goeMatrix (j/n) g))≤K :=
hp.trans (mul_le_mul_of_nonneg_left hd (mul_nonneg (Nat.cast_nonneg _) (pow_nonneg hB _)))
have hac := matrixWordSeminorm_add p
(actualWord f R hR j a 1 F (removeDiagonal (goeMatrix (j/n) g))-actualWord f R hR j a 1 F (goeMatrix (j/n) g))
(actualWord f R hR j a 1 F (goeMatrix (j/n) g)-Matrix.diagonal (wordPrediction j a 1 F))
rw [sub_add_sub_cancel] at hac
linarith
exact (measure_mono hsub).trans ((measure_union_le E V).trans
(add_le_add (hw n hn p) (goe_diagonal_frobenius_tail hj (Nat.succ_le_iff.mpr hn0))))
end SKGap
end
end
end OAI