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import Mathlib
import OAI.Probability.IsingPerceptron.JointGGClosure
namespace OAI
/-! Enriched G G Finite. -/
noncomputable section
open MeasureTheory ProbabilityTheory Filter Set
open scoped BigOperators Topology ENNReal NNReal
open MeasureTheory ProbabilityTheory Filter Set
open scoped BigOperators Topology ENNReal NNReal
namespace IsingPerceptron
def enrichedMonomialResidual {N : ℕ} {A : Type*} [MeasurableSpace A]
(P : Measure A) (r : ℝ≥0) (n : ℕ) (b h : ℕ → ℝ)
(u : Fin N → ℝ) (ν : Measure (Spin N)) (φ : A → Spin N → ℝ)
(p d : ℕ) {m : ℕ} (D : (Fin (m+1) → Spin N × LabeledLeaf n) → ℝ) : ℝ :=
let κ := fun x y : Spin N × LabeledLeaf n => spinOverlap x.1 y.1 ^ p * treeOverlap n x.2 y.2 ^ d
(m+1 : ℕ)*enrichedReplicaAverage P r n b h u ν φ
(fun τ : Fin (m+1+1) → Spin N × LabeledLeaf n => D (Fin.tail τ)*κ ((Fin.tail τ) 0) (τ 0)) -
enrichedReplicaAverage P r n b h u ν φ D * enrichedReplicaAverage P r n b h u ν φ
(fun τ : Fin 2 → Spin N × LabeledLeaf n => κ (τ 1) (τ 0)) -
enrichedReplicaAverage P r n b h u ν φ
(fun σ => D σ*(∑ l : Fin m, κ (σ 0) (σ l.succ)))
lemma enrichedMonomialResidual_bound {N : ℕ} (hN : 0 < N) (n : ℕ) (b : ℕ → ℝ)
(hb : CascadeExponents n b) {h : ℕ → ℝ} (hh : Monotone h) (h0 : 0 ≤ h 0)
{H : ℝ} (hH : h n ≤ H) (u : Fin N → ℝ) (hu : ∀ j, u j ∈ Icc (1:ℝ) 2) (j : Fin N)
(ν : Measure (Spin N)) [IsProbabilityMeasure ν]
{A : Type*} [MeasurableSpace A] (P : Measure A) [IsProbabilityMeasure P]
{φ : A → Spin N → ℝ} (hm : Measurable φ) {K : ℝ} (hK : 0 ≤ K)
(hφ : ∀ y x, |φ y x| ≤ K) (r : ℝ≥0) {α : ℝ} (hr : (r:ℝ) ≤ α*N)
(hmin : ∀ v ∈ Icc (1:ℝ) 2, enrichedCoordinateObjective P r n b h u j ν φ (u j) ≤
enrichedCoordinateObjective P r n b h u j ν φ v)
(he : perturbationScale N ≤ 1/8) (hs : contactStep N ≤ 1/4)
{m : ℕ} (D : (Fin (m+1) → Spin N × LabeledLeaf n) → ℝ)
{B : ℝ} (hB : 0 ≤ B) (hD : ∀ σ, |D σ| ≤ B) :
|enrichedMonomialResidual P r n b h u ν φ (monomialIndex j).1 (monomialIndex j).2 D| ≤
contactGGRate N j
(4*(∫ T, (Real.log (rawTreeTotal n T).toReal)^2 ∂(rawCascadeLaw n b : Measure (RawTree n)))+
H+4+5*K^2*α) B := by
have hua : ∀ i, |u i| ≤ 2 := fun i => abs_le.mpr ⟨by linarith [(hu i).1],(hu i).2⟩
have hint := enriched_coordinate_minimum_interior hN n b hb hh h0 u hua j ν P hm hK hφ r hmin he hs
have hn : (0:ℝ) < N := by exact_mod_cast hN
have hstep : 0 < contactStep N := Real.rpow_pos_of_pos hn _
have hepos : 0 < perturbationScale N := Real.rpow_pos_of_pos hn _
have ha := perturbationAmplitude_pos hN j
have hg := enriched_gg_at_coordinate_minimum hN n b hb hh h0 hH u hua j ν P hm hK hφ r hr
hstep (one_div_pos.mpr hepos) hint.1 hint.2 hmin D hB hD
change |perturbationAmplitude N j*u j| *
|enrichedMonomialResidual P r n b h u ν φ (monomialIndex j).1 (monomialIndex j).2 D| ≤ _ at hg
have hau : perturbationAmplitude N j ≤ |perturbationAmplitude N j*u j| := by
rw [abs_of_pos (mul_pos ha (lt_of_lt_of_le zero_lt_one (hu j).1))]
nlinarith [(hu j).1]
apply (le_div_iff₀ ha).2
calc
_ = perturbationAmplitude N j*
|enrichedMonomialResidual P r n b h u ν φ (monomialIndex j).1 (monomialIndex j).2 D| := by ring
_ ≤ |perturbationAmplitude N j*u j| *
|enrichedMonomialResidual P r n b h u ν φ (monomialIndex j).1 (monomialIndex j).2 D| :=
mul_le_mul_of_nonneg_right hau (abs_nonneg _)
_ ≤ _ := hg
def enrichedPerturbationObjective {N : ℕ} {A : Type*} [MeasurableSpace A]
(P : Measure A) (r : ℝ≥0) (n : ℕ) (b h : ℕ → ℝ)
(ν : Measure (Spin N)) (φ : A → Spin N → ℝ) (u : Fin N → ℝ) : ℝ :=
-enrichedMeanPressure P r n b h u ν φ +
∑ j : Fin N, perturbationWeight j*(u j-3/2)^2
lemma enriched_minimum_coordinate {N : ℕ} {A : Type*} [MeasurableSpace A]
(P : Measure A) (r : ℝ≥0) (n : ℕ) (b h : ℕ → ℝ)
(ν : Measure (Spin N)) (φ : A → Spin N → ℝ) (u : Fin N → ℝ)
(hu : ∀ j, u j ∈ Icc (1:ℝ) 2)
(hmin : ∀ v : Fin N → ℝ, (∀ j, v j ∈ Icc (1:ℝ) 2) →
enrichedPerturbationObjective P r n b h ν φ u ≤ enrichedPerturbationObjective P r n b h ν φ v)
(j : Fin N) (v : ℝ) (hv : v ∈ Icc (1:ℝ) 2) :
enrichedCoordinateObjective P r n b h u j ν φ (u j) ≤
enrichedCoordinateObjective P r n b h u j ν φ v := by
classical
have huv : ∀ i, Function.update u j v i ∈ Icc (1:ℝ) 2 := by
intro i
by_cases hi : i = j
· subst i; simpa only [Function.update_self] using hv
· simpa only [Function.update_of_ne hi] using hu i
have hc := hmin (Function.update u j v) huv
unfold enrichedPerturbationObjective at hc
rw [← Finset.add_sum_erase _ _ (Finset.mem_univ j),
← Finset.add_sum_erase _ _ (Finset.mem_univ j)] at hc
have he : (∑ i ∈ Finset.univ.erase j, perturbationWeight i*(Function.update u j v i-3/2)^2) =
∑ i ∈ Finset.univ.erase j, perturbationWeight i*(u i-3/2)^2 := by
apply Finset.sum_congr rfl
intro i hi
rw [Function.update_of_ne (Finset.mem_erase.mp hi).1]
rw [he,Function.update_self] at hc
unfold enrichedCoordinateObjective
rw [Function.update_eq_self]
linarith
end IsingPerceptron
open MeasureTheory ProbabilityTheory Filter Set
open scoped BigOperators Topology ENNReal NNReal BoundedContinuousFunction
namespace IsingPerceptron
def newReplicaEmbedding (k : ℕ) (e : Equiv.Perm (Fin k)) : Fin (k+1) → ℕ :=
Fin.cases k (fun j => (e j).val)
lemma newReplicaEmbedding_injective (k : ℕ) (e : Equiv.Perm (Fin k)) :
Function.Injective (newReplicaEmbedding k e) := by
intro a
refine Fin.cases ?_ (fun a => ?_) a
· intro b
refine Fin.cases ?_ (fun b => ?_) b
· exact fun _ => rfl
· intro hab
have hlt := (e b).isLt
simp only [newReplicaEmbedding,Fin.cases_zero,Fin.cases_succ] at hab
omega
· intro b
refine Fin.cases ?_ (fun b => ?_) b
· intro hab
have hlt := (e a).isLt
simp only [newReplicaEmbedding,Fin.cases_zero,Fin.cases_succ] at hab
omega
· intro hab
apply congrArg Fin.succ
apply e.injective
apply Fin.val_injective
exact hab
lemma sum_nonzero_permutation {m : ℕ} (e : Equiv.Perm (Fin (m+1))) (f : Fin (m+1) → ℝ) :
(∑ l : Fin m, f (e l.succ)) = ∑ j ∈ Finset.univ.erase (e 0), f j := by
classical
have he := Equiv.sum_comp e f
rw [Fin.sum_univ_succ,← Finset.add_sum_erase _ _ (Finset.mem_univ (e 0))] at he
exact add_left_cancel he
lemma jointEntry_monomial_le (x : JointEntry) (p d : ℕ) : |x.1.1^p*x.2.1^d| ≤ 1 := by
rw [abs_mul,abs_pow,abs_pow]
have h1 : |x.1.1| ≤ 1 := abs_le.mpr x.1.2
have h2 : |x.2.1| ≤ 1 := abs_le.mpr ⟨by linarith [x.2.2.1],x.2.2.2⟩
exact (mul_le_mul (pow_le_one₀ (abs_nonneg _) h1)
(pow_le_one₀ (abs_nonneg _) h2) (pow_nonneg (abs_nonneg _) _) zero_le_one).trans_eq
(one_mul 1)
def monomialPair (n p d : ℕ) {N : ℕ} (x y : Spin N × LabeledLeaf n) : ℝ :=
spinOverlap x.1 y.1^p*treeOverlap n x.2 y.2^d
lemma abs_monomialPair_le_one (n p d : ℕ) {N : ℕ} (x y : Spin N × LabeledLeaf n) :
|monomialPair n p d x y| ≤ 1 := jointEntry_monomial_le (enrichedJointEntry n x y) p d
def finiteJointBlock {N m : ℕ} (n : ℕ) (σ : Fin m → Spin N × LabeledLeaf n) : JointBlock m :=
fun i j => enrichedJointEntry n (σ i) (σ j)
def permutedBlockTest {N m : ℕ} (n : ℕ) (e : Equiv.Perm (Fin m))
(D : JointBlock m → ℝ) (σ : Fin m → Spin N × LabeledLeaf n) : ℝ :=
D (finiteJointBlock n (σ ∘ e.symm))
lemma enrichedArrayLawTest_integral {N : ℕ} (hN : 0 < N) (n : ℕ) (b : ℕ → ℝ)
{h : ℕ → ℝ} (hh : Monotone h) (h0 : 0 ≤ h 0)
(u : Fin N → ℝ) (hu : ∀ j, |u j| ≤ 2)
(ν : Measure (Spin N)) [IsProbabilityMeasure ν]
{A : Type*} [MeasurableSpace A] (P : Measure A) [IsProbabilityMeasure P]
{φ : A → Spin N → ℝ} (hm : Measurable φ) {K : ℝ} (hK : 0 ≤ K)
(hφ : ∀ y x, |φ y x| ≤ K) (r : ℝ≥0)
(F : JointArray → ℝ) (hF : Measurable F)
{m : ℕ} (D : (Fin m → Spin N × LabeledLeaf n) → ℝ) {C : ℝ} (hD : ∀ σ, |D σ| ≤ C)
(ι : Fin m → ℕ) (hi : Function.Injective ι)
(he : ∀ σ, F (sampledOverlapArray (enrichedJointEntry n) σ) = D (fun i => σ (ι i))) :
(∫ x, F x ∂(enrichedArrayLaw P r n b h u ν hm : Measure JointArray)) =
enrichedReplicaAverage P r n b h u ν φ D := by
rw [enrichedArrayLaw_integral _ _ _ _ _ _ _ _ _ hF]
simp_rw [he]
exact enrichedReplicaLaw_integral hN n b hh h0 u hu ν P hm hK hφ r D hD ι hi
lemma permutedBlockTest_embedding {N m : ℕ} (n : ℕ) (e : Equiv.Perm (Fin m))
(D : JointBlock m → ℝ) (σ : ℕ → Spin N × LabeledLeaf n) :
permutedBlockTest n e D (fun j => σ (e j)) =
D (jointBlockView m (sampledOverlapArray (enrichedJointEntry n) σ)) := by
unfold permutedBlockTest
apply congrArg D
funext i j
simp [finiteJointBlock,jointBlockView,sampledOverlapArray]
lemma enrichedArrayLaw_residual {N : ℕ} (hN : 0 < N) (n : ℕ) (b : ℕ → ℝ)
{h : ℕ → ℝ} (hh : Monotone h) (h0 : 0 ≤ h 0)
(u : Fin N → ℝ) (hu : ∀ j, |u j| ≤ 2)
(ν : Measure (Spin N)) [IsProbabilityMeasure ν]
{A : Type*} [MeasurableSpace A] (P : Measure A) [IsProbabilityMeasure P]
{φ : A → Spin N → ℝ} (hm : Measurable φ) {K : ℝ} (hK : 0 ≤ K)
(hφ : ∀ y x, |φ y x| ≤ K) (r : ℝ≥0)
{m : ℕ} (e : Equiv.Perm (Fin (m+1))) (D : JointBlock (m+1) → ℝ)
(hDc : Continuous D) {B : ℝ} (hB : 0 ≤ B) (hD : ∀ x, |D x| ≤ B) (p d : ℕ) :
jointMonomialResidual (enrichedArrayLaw P r n b h u ν hm) (m+1) (e 0) D p d =
enrichedMonomialResidual P r n b h u ν φ p d (permutedBlockTest n e D) := by
classical
let μ : Measure JointArray := enrichedArrayLaw P r n b h u ν hm
let D' := permutedBlockTest (N := N) n e D
have hD' : ∀ σ, |D' σ| ≤ B := fun σ => hD _
have hcD : Continuous (fun x => D (jointBlockView (m+1) x)) :=
hDc.comp (continuous_jointBlockView _)
have hmono (x y : Spin N × LabeledLeaf n) := abs_monomialPair_le_one n p d x y
have hnew : (∫ x, D (jointBlockView (m+1) x)*(x (e 0,m+1)).1.1^p*(x (e 0,m+1)).2.1^d ∂μ) =
enrichedReplicaAverage P r n b h u ν φ
(fun τ : Fin (m+1+1) → Spin N × LabeledLeaf n =>
D' (Fin.tail τ)*monomialPair n p d ((Fin.tail τ) 0) (τ 0)) := by
refine enrichedArrayLawTest_integral hN n b hh h0 u hu ν P hm hK hφ r _
(hcD.mul (by fun_prop) |>.mul (by fun_prop) |>.measurable) _ (C := B)
(fun τ => ?_) (newReplicaEmbedding (m+1) e) (newReplicaEmbedding_injective _ e) ?_
· rw [abs_mul]
exact (mul_le_mul (hD' _) (hmono _ _) (abs_nonneg _) hB).trans_eq (mul_one B)
· intro σ
change D (jointBlockView (m+1) (sampledOverlapArray (enrichedJointEntry n) σ)) *
(enrichedJointEntry n (σ (e 0)) (σ (m+1))).1.1^p *
(enrichedJointEntry n (σ (e 0)) (σ (m+1))).2.1^d =
D' (fun i => σ ((e i).val)) * monomialPair n p d (σ (e 0)) (σ (m+1))
rw [show D' (fun i => σ ((e i).val)) =
D (jointBlockView (m+1) (sampledOverlapArray (enrichedJointEntry n) σ)) from
permutedBlockTest_embedding n e D σ]
simp only [enrichedJointEntry,monomialPair,mul_assoc]
have hblock : (∫ x, D (jointBlockView (m+1) x) ∂μ) =
enrichedReplicaAverage P r n b h u ν φ D' := by
apply enrichedArrayLawTest_integral hN n b hh h0 u hu ν P hm hK hφ r _ hcD.measurable
D' hD' (fun j => (e j).val) (Fin.val_injective.comp e.injective)
intro σ
exact (permutedBlockTest_embedding n e D σ).symm
have hpair : (∫ x, (x (0,1)).1.1^p*(x (0,1)).2.1^d ∂μ) =
enrichedReplicaAverage P r n b h u ν φ
(fun τ : Fin 2 → Spin N × LabeledLeaf n => monomialPair n p d (τ 1) (τ 0)) := by
refine enrichedArrayLawTest_integral hN n b hh h0 u hu ν P hm hK hφ r _ (by fun_prop)
_ (C := 1) (fun τ => hmono _ _) ![1,0] ?_ ?_
· intro a b hab
fin_cases a <;> fin_cases b <;> simp_all
· intro σ
rfl
have hsumBound (σ : Fin (m+1) → Spin N × LabeledLeaf n) :
|D' σ*(∑ l : Fin m, monomialPair n p d (σ 0) (σ l.succ))| ≤ B*m := by
rw [abs_mul]
apply mul_le_mul (hD' _) _ (abs_nonneg _) hB
calc
_ ≤ ∑ l : Fin m, |monomialPair n p d (σ 0) (σ l.succ)| := Finset.abs_sum_le_sum_abs _ _
_ ≤ ∑ _ : Fin m, (1:ℝ) := Finset.sum_le_sum (fun l _ => hmono _ _)
_ = _ := by simp
have hsum : (∑ j ∈ Finset.univ.erase (e 0),
∫ x, D (jointBlockView (m+1) x)*(x (e 0,j)).1.1^p*(x (e 0,j)).2.1^d ∂μ) =
enrichedReplicaAverage P r n b h u ν φ
(fun σ => D' σ*(∑ l : Fin m, monomialPair n p d (σ 0) (σ l.succ))) := by
have hI (j : Fin (m+1)) : Integrable
(fun x : JointArray => D (jointBlockView (m+1) x)*(x (e 0,j)).1.1^p*(x (e 0,j)).2.1^d) μ :=
compact_integrable (hcD.mul (by fun_prop) |>.mul (by fun_prop))
rw [← integral_finsetSum _ (fun j _ => hI j)]
apply enrichedArrayLawTest_integral hN n b hh h0 u hu ν P hm hK hφ r _
(by apply Finset.measurable_sum; intro j hj; exact (hcD.mul (by fun_prop) |>.mul (by fun_prop)).measurable)
_ hsumBound (fun j => (e j).val) (Fin.val_injective.comp e.injective)
intro σ
rw [show D' (fun j => σ ((e j).val)) =
D (jointBlockView (m+1) (sampledOverlapArray (enrichedJointEntry n) σ)) from
permutedBlockTest_embedding n e D σ]
rw [sum_nonzero_permutation e (fun j => monomialPair n p d (σ (e 0)) (σ j)),Finset.mul_sum]
apply Finset.sum_congr rfl
intro j hj
simp only [sampledOverlapArray,enrichedJointEntry,monomialPair,mul_assoc]
unfold jointMonomialResidual
rw [hnew,hblock,hpair,hsum]
rfl
end IsingPerceptron
open MeasureTheory ProbabilityTheory Filter Set
open scoped BigOperators Topology ENNReal NNReal BoundedContinuousFunction
namespace IsingPerceptron
lemma jointMonomialResidual_zero (μ : Measure JointArray) [IsProbabilityMeasure μ]
(m : ℕ) (i : Fin (m+1)) (D : JointBlock (m+1) → ℝ) :
jointMonomialResidual μ (m+1) i D 0 0 = 0 := by
classical
simp only [jointMonomialResidual,pow_zero,mul_one,integral_const,probReal_univ,
smul_eq_mul,Finset.sum_const,Finset.card_erase_of_mem (Finset.mem_univ i),
Finset.card_univ,Fintype.card_fin,Nat.add_sub_cancel,nsmul_eq_mul,Nat.cast_add,Nat.cast_one]
ring
lemma enrichedArrayLaw_residual_bound {N : ℕ} (hN : 0 < N) (n : ℕ) (b : ℕ → ℝ)
(hb : CascadeExponents n b) {h : ℕ → ℝ} (hh : Monotone h) (h0 : 0 ≤ h 0)
{H : ℝ} (hH : h n ≤ H) (u : Fin N → ℝ) (hu : ∀ j, u j ∈ Icc (1:ℝ) 2) (j : Fin N)
(ν : Measure (Spin N)) [IsProbabilityMeasure ν]
{A : Type*} [MeasurableSpace A] (P : Measure A) [IsProbabilityMeasure P]
{φ : A → Spin N → ℝ} (hm : Measurable φ) {K : ℝ} (hK : 0 ≤ K)
(hφ : ∀ y x, |φ y x| ≤ K) (r : ℝ≥0) {α : ℝ} (hr : (r:ℝ) ≤ α*N)
(hmin : ∀ v : Fin N → ℝ, (∀ j, v j ∈ Icc (1:ℝ) 2) →
enrichedPerturbationObjective P r n b h ν φ u ≤ enrichedPerturbationObjective P r n b h ν φ v)
(he : perturbationScale N ≤ 1/8) (hs : contactStep N ≤ 1/4)
{m : ℕ} (i : Fin (m+1)) (D : JointBlock (m+1) → ℝ) (hDc : Continuous D)
{B : ℝ} (hB : 0 ≤ B) (hD : ∀ x, |D x| ≤ B) :
|jointMonomialResidual (enrichedArrayLaw P r n b h u ν hm) (m+1) i D
(monomialIndex j).1 (monomialIndex j).2| ≤
contactGGRate N j
(4*(∫ T, (Real.log (rawTreeTotal n T).toReal)^2 ∂(rawCascadeLaw n b : Measure (RawTree n)))+
H+4+5*K^2*α) B := by
classical
have hua : ∀ l, |u l| ≤ 2 := fun l => abs_le.mpr ⟨by linarith [(hu l).1],(hu l).2⟩
have hg := enrichedMonomialResidual_bound hN n b hb hh h0 hH u hu j ν P hm hK hφ r hr
(enriched_minimum_coordinate P r n b h ν φ u hu hmin j) he hs
(permutedBlockTest n (Equiv.swap 0 i) D) hB (fun σ => hD _)
have ht := enrichedArrayLaw_residual hN n b hh h0 u hua ν P hm hK hφ r
(Equiv.swap 0 i) D hDc hB hD (monomialIndex j).1 (monomialIndex j).2
rw [Equiv.swap_apply_left] at ht
rw [ht]
exact hg
theorem enriched_minimizers_jointGG
(N : ℕ → ℕ) (hN : ∀ k, 0 < N k) (hNlim : Tendsto N atTop atTop)
(n : ℕ) (b : ℕ → ℝ) (hb : CascadeExponents n b)
(h : ℕ → ℕ → ℝ) (hh : ∀ k, Monotone (h k)) (h0 : ∀ k, 0 ≤ h k 0)
(H : ℝ) (hH : ∀ k, h k n ≤ H)
(u : (k : ℕ) → Fin (N k) → ℝ) (hu : ∀ k j, u k j ∈ Icc (1:ℝ) 2)
(ν : (k : ℕ) → Measure (Spin (N k))) [∀ k, IsProbabilityMeasure (ν k)]
(A : ℕ → Type*) [∀ k, MeasurableSpace (A k)]
(P : (k : ℕ) → Measure (A k)) [∀ k, IsProbabilityMeasure (P k)]
(φ : (k : ℕ) → A k → Spin (N k) → ℝ) (hm : ∀ k, Measurable (φ k))
(K : ℝ) (hK : 0 ≤ K) (hφ : ∀ k y x, |φ k y x| ≤ K)
(r : ℕ → ℝ≥0) (α : ℝ) (hr : ∀ k, (r k:ℝ) ≤ α*N k)
(hmin : ∀ k (v : Fin (N k) → ℝ), (∀ j, v j ∈ Icc (1:ℝ) 2) →
enrichedPerturbationObjective (P k) (r k) n b (h k) (ν k) (φ k) (u k) ≤
enrichedPerturbationObjective (P k) (r k) n b (h k) (ν k) (φ k) v)
(μ : ProbabilityMeasure JointArray)
(hL : Tendsto (fun k => enrichedArrayLaw (P k) (r k) n b (h k) (u k) (ν k) (hm k)) atTop (𝓝 μ)) :
HasEntryGhirlandaGuerra (fun x i j => x (i,j)) (μ : Measure JointArray) := by
apply jointGG_of_weak_monomial_residuals hL
intro m hm2 i D hDc p d
cases m with
| zero => omega
| succ m =>
by_cases hpd : p+d = 0
· have hp : p = 0 := by omega
have hd : d = 0 := by omega
subst p d
simpa only [jointMonomialResidual_zero] using
(tendsto_const_nhds : Tendsto (fun _ : ℕ => (0:ℝ)) atTop (𝓝 0))
· obtain ⟨j,hj⟩ := monomialIndex_surjective p d (by omega)
let BD := BoundedContinuousFunction.mkOfCompact ⟨D,hDc⟩
have hD : ∀ x, |D x| ≤ ‖BD‖ := fun x => by
simpa only [BD,BoundedContinuousFunction.mkOfCompact_apply,ContinuousMap.coe_mk,Real.norm_eq_abs] using BD.norm_coe_le_norm x
let L := 4*(∫ T, (Real.log (rawTreeTotal n T).toReal)^2
∂(rawCascadeLaw n b : Measure (RawTree n)))+H+4+5*K^2*α
have he : ∀ᶠ k in atTop, perturbationScale (N k) ≤ 1/8 :=
(perturbationScale_tendsto.comp hNlim).eventually (eventually_le_nhds (by norm_num))
have hs : ∀ᶠ k in atTop, contactStep (N k) ≤ 1/4 :=
(contactStep_tendsto.comp hNlim).eventually (eventually_le_nhds (by norm_num))
have hjN : ∀ᶠ k in atTop, j < N k := hNlim.eventually (eventually_gt_atTop j)
apply squeeze_zero_norm' _ ((contactGGRate_tendsto j L ‖BD‖).comp hNlim)
filter_upwards [he,hs,hjN] with k he hs hjN
let j' : Fin (N k) := ⟨j,hjN⟩
have ht := enrichedArrayLaw_residual_bound (hN k) n b hb (hh k) (h0 k) (hH k)
(u k) (hu k) j' (ν k) (P k) (hm k) hK (hφ k) (r k) (hr k) (hmin k)
he hs i D hDc (norm_nonneg BD) hD
simpa only [j',hj,Prod.fst,Prod.snd,Real.norm_eq_abs,Function.comp_def,L] using ht
end IsingPerceptron
end
end OAI