import OAI.Probability.FreeIsing.Ising.CopyCavityBounds import OAI.Probability.FreeIsing.Ising.ObservationComparison namespace OAI noncomputable section open MeasureTheory ProbabilityTheory open scoped NNReal ENNReal namespace Problem367.IsingCopyPathBounds open IsingObservationInnovation IsingObservationFactor IsingCopyStationarity variable {d : ℕ} {beta : ℝ} variable {μ : Measure (TreeVertex d → IsingSpin)} [IsProbabilityMeasure μ] def edgeLogDifference (hbeta : 0 ≤ beta) (t : ℝ≥0) (v w : TreeVertex d) (q : IsingConditionalCopyBounds.CopySpace d) : ℝ := Real.log (responseAttenuation (Real.tanh beta) (CavityArray.field (tanh_nonneg_of_beta_nonneg hbeta) (Real.tanh_lt_one beta) (sitePair beta t q).1 v w)) - Real.log (responseAttenuation (Real.tanh beta) (CavityArray.field (tanh_nonneg_of_beta_nonneg hbeta) (Real.tanh_lt_one beta) (sitePair beta t q).2 v w)) def edgeLogBound (d : ℕ) (beta : ℝ) (T : ℝ≥0) : ℝ := 2 * ((2 * (T : ℝ) + 2 * (d : ℝ) * beta) / (1 - Real.tanh beta)) theorem edgeLogBound_nonneg (hbeta : 0 ≤ beta) (T : ℝ≥0) : 0 ≤ edgeLogBound d beta T := by have hden : 0 < 1 - Real.tanh beta := sub_pos.mpr (Real.tanh_lt_one beta) unfold edgeLogBound positivity theorem measurable_edgeLogDifference (hbeta : 0 ≤ beta) (t : ℝ≥0) (v w : TreeVertex d) : Measurable (edgeLogDifference hbeta t v w) := by have h0 := tanh_nonneg_of_beta_nonneg hbeta have h1 := Real.tanh_lt_one beta have hs : Real.tanh beta ^ 2 ≤ 1 := by nlinarith have hl := (lipschitzWith_log_responseAttenuation hs).continuous.measurable have hc := CavityArray.measurable_field_apply h0 h1 v w exact (hl.comp (hc.comp (measurable_fst.comp (measurable_sitePair beta t)))).sub (hl.comp (hc.comp (measurable_snd.comp (measurable_sitePair beta t)))) theorem ae_all_siteDifference_bound (hμ : HasFreeIsingLaw (Real.tanh beta) μ) (hbeta : 0 ≤ beta) {t T : ℝ≥0} (ht : t ≤ T) : ∀ᵐ q ∂copies beta μ, ∀ v : TreeVertex d, |(sitePair beta t q).1 v - (sitePair beta t q).2 v| ≤ 2 * (T : ℝ) + 2 * (d : ℝ) * beta := by apply ae_all_iff.mpr intro v have : IsProbabilityMeasure ((observationLaw μ).map (innovationMap beta)) := inferInstance have h := IsingConditionalCopyBounds.ae_fieldDifference_bound hμ hbeta kernel_graphLaw t v filter_upwards [h] with q hq have ht' : (t : ℝ) ≤ (T : ℝ) := ht exact hq.trans (by linarith) theorem ae_edgeLogDifference_bound (hμ : HasFreeIsingLaw (Real.tanh beta) μ) (hbeta : 0 ≤ beta) {t T : ℝ≥0} (ht : t ≤ T) (v w : TreeVertex d) : ∀ᵐ q ∂copies beta μ, |edgeLogDifference hbeta t v w q| ≤ edgeLogBound d beta T := by have h0 := tanh_nonneg_of_beta_nonneg hbeta have h1 := Real.tanh_lt_one beta have hs : Real.tanh beta ^ 2 ≤ 1 := by nlinarith filter_upwards [ae_all_siteDifference_bound hμ hbeta ht] with q hq have hc := CavityArray.field_sub_abs_le h0 h1 v w (hq v) (hq w) have hl := (lipschitzWith_log_responseAttenuation hs).dist_le_mul (CavityArray.field h0 h1 (sitePair beta t q).1 v w) (CavityArray.field h0 h1 (sitePair beta t q).2 v w) apply (show |edgeLogDifference hbeta t v w q| ≤ 2 * |CavityArray.field h0 h1 (sitePair beta t q).1 v w - CavityArray.field h0 h1 (sitePair beta t q).2 v w| from by simpa only [edgeLogDifference, Real.dist_eq, NNReal.coe_ofNat] using hl).trans exact mul_le_mul_of_nonneg_left hc (by norm_num) def pathLogDifference {ι : Type*} (hbeta : 0 ≤ beta) (t : ℝ≥0) (s : Finset ι) (e : ι → TreeVertex d × TreeVertex d) (q : IsingConditionalCopyBounds.CopySpace d) : ℝ := ∑ i ∈ s, edgeLogDifference hbeta t (e i).1 (e i).2 q theorem measurable_pathLogDifference {ι : Type*} (hbeta : 0 ≤ beta) (t : ℝ≥0) (s : Finset ι) (e : ι → TreeVertex d × TreeVertex d) : Measurable (pathLogDifference hbeta t s e) := Finset.measurable_fun_sum s (fun i _ => measurable_edgeLogDifference hbeta t (e i).1 (e i).2) theorem ae_pathLogDifference_bound {ι : Type*} (hμ : HasFreeIsingLaw (Real.tanh beta) μ) (hbeta : 0 ≤ beta) {t T : ℝ≥0} (ht : t ≤ T) (s : Finset ι) (e : ι → TreeVertex d × TreeVertex d) : ∀ᵐ q ∂copies beta μ, |pathLogDifference hbeta t s e q| ≤ (s.card : ℝ) * edgeLogBound d beta T := by classical have hall : ∀ᵐ q ∂copies beta μ, ∀ i ∈ s, |edgeLogDifference hbeta t (e i).1 (e i).2 q| ≤ edgeLogBound d beta T := (ae_ball_iff s.finite_toSet.countable).mpr (fun i _ => ae_edgeLogDifference_bound hμ hbeta ht (e i).1 (e i).2) filter_upwards [hall] with q hq calc |pathLogDifference hbeta t s e q| ≤ ∑ i ∈ s, |edgeLogDifference hbeta t (e i).1 (e i).2 q| := Finset.abs_sum_le_sum_abs _ _ _ ≤ ∑ _i ∈ s, edgeLogBound d beta T := Finset.sum_le_sum hq _ = (s.card : ℝ) * edgeLogBound d beta T := by simp theorem ae_pathLogDifference_sq_bound {ι : Type*} (hμ : HasFreeIsingLaw (Real.tanh beta) μ) (hbeta : 0 ≤ beta) {t T : ℝ≥0} (ht : t ≤ T) (s : Finset ι) (e : ι → TreeVertex d × TreeVertex d) : ∀ᵐ q ∂copies beta μ, pathLogDifference hbeta t s e q ^ 2 ≤ (s.card : ℝ) ^ 2 * edgeLogBound d beta T ^ 2 := by filter_upwards [ae_pathLogDifference_bound hμ hbeta ht s e] with q hq have hb : 0 ≤ (s.card : ℝ) * edgeLogBound d beta T := mul_nonneg (Nat.cast_nonneg _) (edgeLogBound_nonneg hbeta T) simpa only [sq_abs, mul_pow] using (sq_le_sq₀ (abs_nonneg _) hb).mpr hq theorem memLp_pathLogDifference {ι : Type*} (hμ : HasFreeIsingLaw (Real.tanh beta) μ) (hbeta : 0 ≤ beta) (t : ℝ≥0) (s : Finset ι) (e : ι → TreeVertex d × TreeVertex d) (p : ℝ≥0∞) : MemLp (pathLogDifference hbeta t s e) p (copies beta μ) := by apply MemLp.of_bound (measurable_pathLogDifference hbeta t s e).aestronglyMeasurable ((s.card : ℝ) * edgeLogBound d beta t) simpa only [Real.norm_eq_abs] using ae_pathLogDifference_bound hμ hbeta le_rfl s e theorem integrable_pathLogDifference_sq {ι : Type*} (hμ : HasFreeIsingLaw (Real.tanh beta) μ) (hbeta : 0 ≤ beta) (t : ℝ≥0) (s : Finset ι) (e : ι → TreeVertex d × TreeVertex d) : Integrable (fun q => pathLogDifference hbeta t s e q ^ 2) (copies beta μ) := (memLp_pathLogDifference hμ hbeta t s e 2).integrable_sq end Problem367.IsingCopyPathBounds end end OAI