openAI-math-dataset / lean /OAI /Probability /FreeIsing /Critical /CanonicalRowEnergy.lean
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import OAI.Probability.FreeIsing.Brownian.PosteriorBareResponse
import OAI.Probability.FreeIsing.Critical.CanonicalResponse
import OAI.Probability.FreeIsing.Gaussian.TreeResponseObservedPosterior
namespace OAI
noncomputable section
open MeasureTheory ProbabilityTheory Filter
open scoped NNReal
namespace Problem367
open PlantedSymmetry
namespace CriticalCanonicalRowEnergy
def rate (beta : ℝ) (t : ℝ≥0) : ℝ :=
ComponentSignalAttenuation.lossCoefficient (Real.tanh beta) *
min (Real.sqrt (t : ℝ)) 1
theorem rate_pos {d : ℕ} {beta : ℝ} (hb : 0 ≤ beta)
(hc : ((d - 1 : ℕ) : ℝ) * Real.tanh beta ^ 2 = 1)
{t : ℝ≥0} (ht : 0 < t) : 0 < rate beta t := by
have htheta : 0 < Real.tanh beta := by
have hn := tanh_nonneg_of_beta_nonneg hb
by_contra h
have hz : Real.tanh beta = 0 := le_antisymm (not_lt.mp h) hn
simp [hz] at hc
exact mul_pos (ComponentSignalAttenuation.lossCoefficient_pos htheta
(Real.tanh_lt_one beta))
(lt_min (Real.sqrt_pos.mpr (show (0 : ℝ) < t from ht)) zero_lt_one)
theorem branching_ratio {d : ℕ} {beta : ℝ}
(hc : ((d - 1 : ℕ) : ℝ) * Real.tanh beta ^ 2 = 1) (t : ℝ≥0) :
((d - 1 : ℕ) : ℝ) * (Real.tanh beta ^ 2 * Real.exp (-rate beta t)) =
Real.exp (-rate beta t) := by rw [← mul_assoc, hc, one_mul]
theorem ratio_lt_one {d : ℕ} {beta : ℝ} (hb : 0 ≤ beta)
(hc : ((d - 1 : ℕ) : ℝ) * Real.tanh beta ^ 2 = 1)
{t : ℝ≥0} (ht : 0 < t) :
((d - 1 : ℕ) : ℝ) * (Real.tanh beta ^ 2 * Real.exp (-rate beta t)) < 1 := by
rw [branching_ratio hc]
exact Real.exp_lt_one_iff.mpr (neg_neg_of_pos (rate_pos hb hc ht))
theorem exp_div_one_sub_exp_le_inv {x : ℝ} (hx : 0 < x) :
Real.exp (-x) / (1 - Real.exp (-x)) ≤ x⁻¹ := by
have hq : Real.exp (-x) < 1 := Real.exp_lt_one_iff.mpr (neg_neg_of_pos hx)
have he := mul_le_mul_of_nonneg_right (Real.add_one_le_exp x) (Real.exp_pos (-x)).le
have hcancel : Real.exp x * Real.exp (-x) = 1 := by
rw [← Real.exp_add, add_neg_cancel, Real.exp_zero]
rw [hcancel] at he
apply (div_le_iff₀ (sub_pos.mpr hq)).mpr
rw [inv_mul_eq_div]
exact (le_div_iff₀ hx).mpr (by nlinarith)
end CriticalCanonicalRowEnergy
open CriticalCanonicalRowEnergy
theorem HasFreeIsingLaw.gaussian_rootResponse_critical_radial_bound
{d : ℕ} {beta : ℝ} {μ : Measure (TreeVertex d → IsingSpin)}
(hμ : HasFreeIsingLaw (Real.tanh beta) μ) (hb : 0 ≤ beta) (hd : 3 ≤ d)
(hc : ((d - 1 : ℕ) : ℝ) * Real.tanh beta ^ 2 = 1)
{t : ℝ≥0} (ht : 0 < t) (v : TreeVertex d) :
(∫ p, gaussianPosteriorResponse μ t (ConnectedHull.root d) v p ^ 2
∂μ.prod (gaussianNoiseLaw (TreeVertex d) t)) ≤
(Real.tanh beta ^ 2 * Real.exp (-rate beta t)) ^ v.1.length := by
have h := hμ.integral_gaussianRootResponse_sq_le_critical hb hd hc ht v
simpa only [rate, mul_pow, ← pow_mul, Nat.mul_comm,
← Real.exp_nat_mul, mul_comm] using h
theorem HasFreeIsingLaw.gaussian_rootResponse_critical_row_energy
{d : ℕ} {beta : ℝ} {μ : Measure (TreeVertex d → IsingSpin)}
(hμ : HasFreeIsingLaw (Real.tanh beta) μ) (hb : 0 ≤ beta) (hd : 3 ≤ d)
(hc : ((d - 1 : ℕ) : ℝ) * Real.tanh beta ^ 2 = 1)
{t : ℝ≥0} (ht : 0 < t) :
(∀ᵐ p ∂μ.prod (gaussianNoiseLaw (TreeVertex d) t),
Summable (fun v => gaussianPosteriorResponse μ t (ConnectedHull.root d) v p ^ 2)) ∧
Integrable (fun p => ∑' v, gaussianPosteriorResponse μ t (ConnectedHull.root d) v p ^ 2)
(μ.prod (gaussianNoiseLaw (TreeVertex d) t)) ∧
(∫ p, ∑' v, gaussianPosteriorResponse μ t (ConnectedHull.root d) v p ^ 2
∂μ.prod (gaussianNoiseLaw (TreeVertex d) t)) ≤
1 + (d : ℝ) * Real.tanh beta ^ 2 * Real.exp (-rate beta t) /
(1 - Real.exp (-rate beta t)) := by
have hold := hμ.gaussian_posteriorResponse_row_energy hb ht hc.le
(ConnectedHull.root d) rfl
refine ⟨hold.1, hold.2.1, ?_⟩
have h := integral_tsum_sq_le_of_tree_radial_bound (C := 1)
(fun v => (hμ.gaussian_posteriorResponse_sq_decay hb ht (ConnectedHull.root d) v rfl).1)
(fun v => by simpa only [one_mul] using
hμ.gaussian_rootResponse_critical_radial_bound hb hd hc ht v)
(mul_nonneg (sq_nonneg _) (Real.exp_pos _).le) (ratio_lt_one hb hc ht)
simpa only [one_mul, branching_ratio hc, mul_assoc] using h
theorem HasFreeIsingLaw.integral_gaussian_rootResponse_row_le_inv_rate
{d : ℕ} {beta : ℝ} {μ : Measure (TreeVertex d → IsingSpin)}
(hμ : HasFreeIsingLaw (Real.tanh beta) μ) (hb : 0 ≤ beta) (hd : 3 ≤ d)
(hc : ((d - 1 : ℕ) : ℝ) * Real.tanh beta ^ 2 = 1)
{t : ℝ≥0} (ht : 0 < t) :
(∫ p, ∑' v, gaussianPosteriorResponse μ t (ConnectedHull.root d) v p ^ 2
∂μ.prod (gaussianNoiseLaw (TreeVertex d) t)) ≤
1 + (d : ℝ) * Real.tanh beta ^ 2 / rate beta t := by
apply (hμ.gaussian_rootResponse_critical_row_energy hb hd hc ht).2.2.trans
have h := mul_le_mul_of_nonneg_left
(exp_div_one_sub_exp_le_inv (rate_pos hb hc ht))
(mul_nonneg (Nat.cast_nonneg d) (sq_nonneg (Real.tanh beta)))
simpa only [mul_div_assoc, div_eq_mul_inv, mul_assoc] using
add_le_add (show (1 : ℝ) ≤ 1 from le_rfl) h
theorem HasFreeIsingLaw.gaussian_rootResponse_critical_row_tail
{d : ℕ} {beta : ℝ} {μ : Measure (TreeVertex d → IsingSpin)}
(hμ : HasFreeIsingLaw (Real.tanh beta) μ) (hb : 0 ≤ beta) (hd : 3 ≤ d)
(hc : ((d - 1 : ℕ) : ℝ) * Real.tanh beta ^ 2 = 1)
{t : ℝ≥0} (ht : 0 < t) (L : ℕ) :
(∫ p, ∑' v : TreeVertex d, if L < v.1.length then
gaussianPosteriorResponse μ t (ConnectedHull.root d) v p ^ 2 else 0
∂μ.prod (gaussianNoiseLaw (TreeVertex d) t)) ≤
(d : ℝ) * Real.tanh beta ^ 2 * Real.exp (-rate beta t) *
Real.exp (-rate beta t) ^ L / (1 - Real.exp (-rate beta t)) := by
have h := integral_tsum_sq_cutoff_le_of_tree_radial_bound (C := 1)
(fun v => (hμ.gaussian_posteriorResponse_sq_decay hb ht (ConnectedHull.root d) v rfl).1)
(fun v => by simpa only [one_mul] using
hμ.gaussian_rootResponse_critical_radial_bound hb hd hc ht v)
(mul_nonneg (sq_nonneg _) (Real.exp_pos _).le) (ratio_lt_one hb hc ht) L
simpa only [one_mul, branching_ratio hc, mul_assoc] using h
theorem HasFreeIsingLaw.lintegral_gaussian_rootResponse_row_le_inv_rate
{d : ℕ} {beta : ℝ} {μ : Measure (TreeVertex d → IsingSpin)}
(hμ : HasFreeIsingLaw (Real.tanh beta) μ) (hb : 0 ≤ beta) (hd : 3 ≤ d)
(hc : ((d - 1 : ℕ) : ℝ) * Real.tanh beta ^ 2 = 1)
{t : ℝ≥0} (ht : 0 < t) :
(∫⁻ p, ∑' v, ENNReal.ofReal
(gaussianPosteriorResponse μ t (ConnectedHull.root d) v p ^ 2)
∂μ.prod (gaussianNoiseLaw (TreeVertex d) t)) ≤
ENNReal.ofReal (1 + (d : ℝ) * Real.tanh beta ^ 2 / rate beta t) := by
have hrow := hμ.gaussian_rootResponse_critical_row_energy hb hd hc ht
have he := hrow.1.mono fun p hp =>
ENNReal.ofReal_tsum_of_nonneg (fun v => sq_nonneg
(gaussianPosteriorResponse μ t (ConnectedHull.root d) v p)) hp
rw [← lintegral_congr_ae he,
← ofReal_integral_eq_lintegral_ofReal hrow.2.1
(Eventually.of_forall fun p => tsum_nonneg (fun v => sq_nonneg _))]
exact ENNReal.ofReal_le_ofReal
(hμ.integral_gaussian_rootResponse_row_le_inv_rate hb hd hc ht)
theorem HasFreeIsingLaw.brownian_rootResponse_critical_row_energy
{d : ℕ} {beta : ℝ} {Ω : Type*} [MeasurableSpace Ω]
{μ : Measure (TreeVertex d → IsingSpin)}
(hμ : HasFreeIsingLaw (Real.tanh beta) μ) (hb : 0 ≤ beta) (hd : 3 ≤ d)
(hc : ((d - 1 : ℕ) : ℝ) * Real.tanh beta ^ 2 = 1)
(ν : TreeVertex d → Measure Ω) {B : TreeVertex d → ℝ≥0 → Ω → ℝ}
(hB : ∀ i, IsPreBrownianReal (B i) (ν i))
(hmB : ∀ i t, Measurable (B i t)) {t : ℝ≥0} (ht : 0 < t) :
(∀ᵐ p ∂μ.prod (Measure.infinitePi ν),
Summable (fun v => brownianPosteriorResponse μ ν B t (ConnectedHull.root d) v p ^ 2)) ∧
Integrable (fun p => ∑' v,
brownianPosteriorResponse μ ν B t (ConnectedHull.root d) v p ^ 2)
(μ.prod (Measure.infinitePi ν)) ∧
(∫ p, ∑' v, brownianPosteriorResponse μ ν B t (ConnectedHull.root d) v p ^ 2
∂μ.prod (Measure.infinitePi ν)) ≤
1 + (d : ℝ) * Real.tanh beta ^ 2 / rate beta t := by
let : IsProbabilityMeasure μ := hμ.isProbabilityMeasure
have (i : TreeVertex d) : IsProbabilityMeasure (ν i) :=
(hB i).isGaussianProcess.isProbabilityMeasure
have hT := (MeasurePreserving.id μ).prod
(brownian_array_eval_measurePreserving ν hB hmB t)
have hg := hμ.gaussian_rootResponse_critical_row_energy hb hd hc ht
have heq := ae_all_iff.mpr (fun v => brownian_past_posteriorResponse_eq_gaussian
μ ν hB hmB t (ConnectedHull.root d) v)
have he : (fun p => ∑' v,
brownianPosteriorResponse μ ν B t (ConnectedHull.root d) v p ^ 2) =ᵐ[
μ.prod (Measure.infinitePi ν)]
(fun q => ∑' v, gaussianPosteriorResponse μ t (ConnectedHull.root d) v q ^ 2) ∘
Prod.map id (fun p i => B i t (p i)) := by
filter_upwards [heq] with p hp
exact tsum_congr fun v => congrArg (fun x : ℝ => x ^ 2) (hp v)
refine ⟨?_, (hT.integrable_comp_of_integrable hg.2.1).congr he.symm, ?_⟩
· filter_upwards [hT.quasiMeasurePreserving.ae hg.1, heq] with p hp hpeq
exact hp.congr fun v => congrArg (fun x : ℝ => x ^ 2) (hpeq v).symm
· rw [integral_congr_ae he, hT.hasLaw.integral_comp hg.2.1.aestronglyMeasurable]
exact hμ.integral_gaussian_rootResponse_row_le_inv_rate hb hd hc ht
end Problem367
end
end OAI