openAI-math-dataset / lean /OAI /Probability /FreeIsing /Energy /SubcriticalResponseComparison.lean
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import OAI.Probability.FreeIsing.Trees.ResponseRowEnergy
namespace OAI
noncomputable section
open MeasureTheory Set
namespace Problem367.ResponseRows
section Deterministic
variable {Ω ι : Type*}
theorem norm_tree_coefficient_le
{d : ℕ} {theta : ℝ} (hθ0 : 0 ≤ theta) (hθ : theta ^ 2 ≤ 1)
(s : TreeVertex d → Finset ι) (X : TreeVertex d → ι → Ω → ℝ)
(v : TreeVertex d) (ω : Ω) :
‖coefficient theta (fun v : TreeVertex d => theta ^ v.1.length) s X v ω‖ ≤
theta ^ v.1.length := by
have hp := prod_responseAttenuation_pos (s v) (fun i => X v i ω) hθ
have hle := prod_attenuation_le_one (s v) (fun i => X v i ω) hθ
have hw : 0 ≤ theta ^ v.1.length := pow_nonneg hθ0 _
rw [coefficient, pathProduct, Real.norm_eq_abs, abs_mul, abs_of_nonneg hw,
abs_of_pos hp]
exact mul_le_of_le_one_right hw hle
theorem summable_tree_coefficient_sq
{d : ℕ} {theta : ℝ} (hθ0 : 0 ≤ theta) (hθ : theta ^ 2 ≤ 1)
(hsub : ((d - 1 : ℕ) : ℝ) * theta ^ 2 < 1)
(s : TreeVertex d → Finset ι) (X : TreeVertex d → ι → Ω → ℝ) (ω : Ω) :
Summable (fun v : TreeVertex d =>
(coefficient theta (fun v : TreeVertex d => theta ^ v.1.length) s X v ω) ^ 2) := by
simpa only [Real.norm_eq_abs, sq_abs] using
summable_norm_sq_of_radial_bound d hsub
(fun v => coefficient theta (fun v : TreeVertex d => theta ^ v.1.length) s X v ω)
(fun v => norm_tree_coefficient_le hθ0 hθ s X v ω)
theorem summable_regularPathWeight {d : ℕ} {theta : ℝ}
(hsub : ((d - 1 : ℕ) : ℝ) * theta ^ 2 < 1) :
Summable (regularPathWeight d theta) := by
have hs := summable_regularPathWeight_mul_length_sq hsub
apply Summable.of_nonneg_of_le (regularPathWeight_nonneg d theta) _ hs
intro n
have hr : (1 : ℝ) ≤ ((n + 1 : ℕ) : ℝ) := by exact_mod_cast Nat.succ_le_succ (Nat.zero_le n)
have hr2 : (1 : ℝ) ≤ ((n + 1 : ℕ) : ℝ) ^ 2 := by nlinarith
simpa only [mul_one] using
mul_le_mul_of_nonneg_left hr2 (regularPathWeight_nonneg d theta n)
theorem summable_regularPathWeight_sqrt_length_sq
{d : ℕ} {theta A : ℝ} (hA : 0 ≤ A)
(hsub : ((d - 1 : ℕ) : ℝ) * theta ^ 2 < 1) :
Summable (fun n => regularPathWeight d theta n *
Real.sqrt (A * ((n + 1 : ℕ) : ℝ) ^ 2)) := by
have hs := (summable_regularPathWeight_mul_length_sq hsub).mul_left (Real.sqrt A)
apply Summable.of_nonneg_of_le (fun n => mul_nonneg
(regularPathWeight_nonneg d theta n) (Real.sqrt_nonneg _)) _ hs
intro n
have hr : (1 : ℝ) ≤ ((n + 1 : ℕ) : ℝ) := by exact_mod_cast Nat.succ_le_succ (Nat.zero_le n)
rw [Real.sqrt_mul hA, Real.sqrt_sq (Nat.cast_nonneg _)]
have hr2 : ((n + 1 : ℕ) : ℝ) ≤ ((n + 1 : ℕ) : ℝ) ^ 2 := by nlinarith
calc
regularPathWeight d theta n * (Real.sqrt A * ((n + 1 : ℕ) : ℝ)) ≤
regularPathWeight d theta n * (Real.sqrt A * ((n + 1 : ℕ) : ℝ) ^ 2) := by
exact mul_le_mul_of_nonneg_left
(mul_le_mul_of_nonneg_left hr2 (Real.sqrt_nonneg A))
(regularPathWeight_nonneg d theta n)
_ = _ := by ring
end Deterministic
section Probability
variable {Ω : Type*} [MeasurableSpace Ω] {μ : Measure Ω}
theorem integral_tree_density_le_subcritical
{d : ℕ} {ι : Type*} (s : TreeVertex d → Finset ι)
(hcard : ∀ v, (s v).card = v.1.length)
{theta C : ℝ} (hθ0 : 0 ≤ theta) (hθ : theta ^ 2 ≤ 1)
(hsub : ((d - 1 : ℕ) : ℝ) * theta ^ 2 < 1) (hC : 0 ≤ C)
{X Y : TreeVertex d → ι → Ω → ℝ} {H H' : Ω → ℝ}
(hX : ∀ v i, i ∈ s v → Measurable (X v i))
(hY : ∀ v i, i ∈ s v → Measurable (Y v i))
(hInt : ∀ v i, i ∈ s v → Integrable (fun ω => (X v i ω - Y v i ω) ^ 2) μ)
(hH : Measurable H) (hH' : Measurable H')
(hU : MemLp (fun ω => H ω - H' ω) 2 μ)
(hlog : ∀ v i, i ∈ s v →
(∫ ω, (Real.log (responseAttenuation theta (X v i ω)) -
Real.log (responseAttenuation theta (Y v i ω))) ^ 2 ∂μ) ≤
C * (∫ ω, (H ω - H' ω) ^ 2 ∂μ)) :
let c := coefficient theta (fun v : TreeVertex d => theta ^ v.1.length) s X
let c' := coefficient theta (fun v : TreeVertex d => theta ^ v.1.length) s Y
Integrable (DiscrepancyEnergy.density c c' (fun ω => H ω - H' ω)
(fun ω => Real.tanh (H ω)) (fun ω => Real.tanh (H' ω))) μ ∧
(∫ ω, DiscrepancyEnergy.density c c' (fun ω => H ω - H' ω)
(fun ω => Real.tanh (H ω)) (fun ω => Real.tanh (H' ω)) ω ∂μ) ≤
subcriticalPathConstant d theta (2 * C) * (∫ ω, (H ω - H' ω) ^ 2 ∂μ) := by
dsimp only
let V := ∫ ω, (H ω - H' ω) ^ 2 ∂μ
let Q := fun n : ℕ => (2 * C) * ((n + 1 : ℕ) : ℝ) ^ 2 * V
let L := fun _ : ℕ => V
have hV : 0 ≤ V := integral_nonneg (fun ω => sq_nonneg _)
have hQ0 (n : ℕ) : 0 ≤ Q n := by dsimp [Q]; positivity
have hL0 (n : ℕ) : 0 ≤ L n := hV
have hQ (n : ℕ) (v : TreeVertex d) (hv : v.1.length = n + 1) :
pathNoiseEnergy μ theta (s v) (X v) (Y v) ≤ Q n := by
have h := integral_weighted_path_log_sq_le (s v) hθ (hX v) (hY v) (hInt v) (hlog v)
rw [hcard v, hv] at h
change _ ≤ _ at h
calc
pathNoiseEnergy μ theta (s v) (X v) (Y v) ≤
2 * ((n + 1 : ℕ) : ℝ) ^ 2 * (C * V) := h
_ = Q n := by dsimp [Q]; ring
have hL (n : ℕ) (v : TreeVertex d) (_hv : v.1.length = n + 1) :
pathLinearEnergy μ theta (s v) (X v) (fun ω => H ω - H' ω) ≤ L n :=
(integral_mul_prod_responseAttenuation_sq_le (s v) hθ (hX v) hU).2
have hQs : Summable (fun n => regularPathWeight d theta n * Q n) := by
convert! (summable_regularPathWeight_mul_length_sq hsub).mul_left (2 * C * V) using 1
funext n
dsimp only [Q]
ring
have hLs : Summable (fun n => regularPathWeight d theta n * L n) :=
(summable_regularPathWeight hsub).mul_right V
have hRs : Summable (fun n => regularPathWeight d theta n * Real.sqrt (Q n)) := by
convert! summable_regularPathWeight_sqrt_length_sq (A := 2 * C * V)
(by positivity) hsub using 1
funext n
congr 2
dsimp only [Q]
ring
have hrows : ∀ᵐ ω ∂μ,
Summable (fun v => (coefficient theta (fun v : TreeVertex d => theta ^ v.1.length) s X v ω) ^ 2) ∧
Summable (fun v => (coefficient theta (fun v : TreeVertex d => theta ^ v.1.length) s Y v ω) ^ 2) := by
filter_upwards [] with ω
exact ⟨summable_tree_coefficient_sq hθ0 hθ hsub s X ω,
summable_tree_coefficient_sq hθ0 hθ hsub s Y ω⟩
have hb := integral_tree_density_le_shell_energies s hcard hθ hX hY hInt hH hH' hU
hQ0 hL0 hQ hL hQs hLs hRs hrows
refine ⟨hb.1, ?_⟩
exact (subcritical_noise_drift_bound hsub (by positivity : 0 ≤ 2 * C) hV
hQ0 hL0 (fun n => le_rfl) (fun n => le_rfl) hb.2).2
theorem eq_zero_of_subcritical_response_variance_identity
{d : ℕ} {ι : Type*} (s : TreeVertex d → Finset ι)
(hcard : ∀ v, (s v).card = v.1.length)
{theta C T : ℝ} (hθ0 : 0 ≤ theta) (hθ : theta ^ 2 ≤ 1)
(hsub : ((d - 1 : ℕ) : ℝ) * theta ^ 2 < 1) (hC : 0 ≤ C)
{X Y : ℝ → TreeVertex d → ι → Ω → ℝ} {H H' : ℝ → Ω → ℝ}
(hX : ∀ t ∈ Icc 0 T, ∀ v i, i ∈ s v → Measurable (X t v i))
(hY : ∀ t ∈ Icc 0 T, ∀ v i, i ∈ s v → Measurable (Y t v i))
(hInt : ∀ t ∈ Icc 0 T, ∀ v i, i ∈ s v →
Integrable (fun ω => (X t v i ω - Y t v i ω) ^ 2) μ)
(hH : ∀ t ∈ Icc 0 T, Measurable (H t))
(hH' : ∀ t ∈ Icc 0 T, Measurable (H' t))
(hU : ∀ t ∈ Icc 0 T, MemLp (fun ω => H t ω - H' t ω) 2 μ)
(hlog : ∀ t ∈ Icc 0 T, ∀ v i, i ∈ s v →
(∫ ω, (Real.log (responseAttenuation theta (X t v i ω)) -
Real.log (responseAttenuation theta (Y t v i ω))) ^ 2 ∂μ) ≤
C * (∫ ω, (H t ω - H' t ω) ^ 2 ∂μ))
(hAC : AbsolutelyContinuousOnInterval (fun t => ∫ ω, (H t ω - H' t ω) ^ 2 ∂μ) 0 T)
(hzero : (∫ ω, (H 0 ω - H' 0 ω) ^ 2 ∂μ) = 0)
(hderiv : ∀ᵐ t : ℝ, t ∈ Icc 0 T →
deriv (fun r => ∫ ω, (H r ω - H' r ω) ^ 2 ∂μ) t =
∫ ω, DiscrepancyEnergy.density
(coefficient theta (fun v : TreeVertex d => theta ^ v.1.length) s (X t))
(coefficient theta (fun v : TreeVertex d => theta ^ v.1.length) s (Y t))
(fun ω => H t ω - H' t ω)
(fun ω => Real.tanh (H t ω)) (fun ω => Real.tanh (H' t ω)) ω ∂μ) :
∀ t ∈ Icc 0 T, (∫ ω, (H t ω - H' t ω) ^ 2 ∂μ) = 0 := by
apply eq_zero_of_ae_deriv_le_mul_self
(C := subcriticalPathConstant d theta (2 * C)) hAC hzero
(fun t _ => integral_nonneg (fun ω => sq_nonneg _))
filter_upwards [hderiv] with t ht hmem
rw [ht hmem]
exact (integral_tree_density_le_subcritical s hcard hθ0 hθ hsub hC
(hX t hmem) (hY t hmem) (hInt t hmem) (hH t hmem) (hH' t hmem)
(hU t hmem) (hlog t hmem)).2
end Probability
end Problem367.ResponseRows
end
end OAI