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