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| import Mathlib | |
| import OAI.Probability.SKFluctuations.ClockSplitSteps | |
| namespace OAI | |
| /-! Clock Retained Samples. -/ | |
| noncomputable section | |
| namespace SKFluctuations.Hierarchy | |
| open MeasureTheory ProbabilityTheory Filter Set | |
| open scoped Topology NNReal BigOperators | |
| variable {S ι : Type*} [Fintype S] [Nonempty S] [Fintype ι] [Nonempty ι] | |
| attribute [local instance] Classical.propDecidable | |
| def retainedBefore (u : PositiveMass) (as : List PositiveMass) : List PositiveMass := | |
| (splitMassPartition u as).1 | |
| def retainedAfter (u : PositiveMass) (as : List PositiveMass) : List PositiveMass := | |
| (splitMassPartition u as).2++[⟨1,by norm_num⟩] | |
| theorem retainedBefore_end (u : PositiveMass) (as : List PositiveMass) : | |
| partitionEnd 0 (retainedBefore u as)=u.val := splitMassPartition_end _ _ _ | |
| theorem retainedAfter_end (u : PositiveMass) (as : List PositiveMass) : | |
| partitionEnd u.val (retainedAfter u as)=1 := by | |
| rw [retainedAfter,partitionEnd_append] | |
| rfl | |
| theorem retainedBefore_bounds (u : PositiveMass) (as : List PositiveMass) : | |
| ∀ a ∈ retainedBefore u as, a.val≤u.val := splitMassPartition_bounds _ _ | |
| theorem retainedMasses_ordered (u : PositiveMass) (hu : u.val≤1) | |
| (as : List PositiveMass) (ha : MassOrdered 0 as) : | |
| MassOrdered 0 (retainedBefore u as) ∧ MassOrdered u.val (retainedAfter u as) := by | |
| have ho := splitMassPartition_ordered u hu as ha u.property.le | |
| exact ⟨ho.1,ho.2.append_end ⟨ho.2.end_bounds.1,ho.2.end_bounds.2,by norm_num,by norm_num⟩⟩ | |
| theorem retainedMasses_mesh (u : PositiveMass) (hu : u.val≤1) | |
| (as : List PositiveMass) (ha : MassOrdered 0 as) {h : ℝ} (hh : 0≤h) | |
| (hm : PartitionMesh h 0 as) : | |
| PartitionMesh h 0 (retainedBefore u as++retainedAfter u as) := by | |
| simpa only [retainedBefore,retainedAfter,List.append_assoc] using | |
| (splitMassPartition_mesh u hu as ha u.property.le hm).append_one hh | |
| def retainedPairSample (w : S → ℝ) (φ : S → (ι → ℝ) →L[ℝ] ℝ) | |
| (q : ℝ → ι → ℝ≥0) (u : PositiveMass) (as : List PositiveMass) | |
| (P : S → S → ℝ) (x : ι → ℝ) : ℝ := | |
| sampledPairDisorder w φ q u.val (retainedBefore u as) (retainedAfter u as) P x | |
| theorem retainedPairSample_comparison {w : S → ℝ} (hw : ∀ σ, 0<w σ) | |
| (φ : S → (ι → ℝ) →L[ℝ] ℝ) (D : ι → ℝ) (hD : ∀ i, 0≤D i) | |
| (hφ : ∀ σ i, |φ σ (Pi.single i 1)|≤D i) | |
| (q : ℝ → ι → ℝ≥0) (hq : ∀ i, MonotoneOn (fun u => q u i) (Icc (0:ℝ) 1)) | |
| (u : PositiveMass) (hu : u.val≤1) (as bs : List PositiveMass) | |
| (ha : MassOrdered 0 as) (hb : MassOrdered 0 bs) | |
| {h k : ℝ} (hh : 0≤h) (hk : 0≤k) (hmesh : PartitionMesh h 0 as) (kmesh : PartitionMesh k 0 bs) | |
| (P : S → S → ℝ) {K : ℝ} (hK : 0≤K) (hP : ∀ σ τ, |P σ τ|≤K) (x : ι → ℝ) : | |
| |retainedPairSample w φ q u as P x-retainedPairSample w φ q u bs P x| ≤ | |
| ClockTree.errorJetVariation 2 0 0*K*(2*(h+k)*clockVariationBound D q) := by | |
| have h₁ := retainedMasses_ordered u hu as ha | |
| have h₂ := retainedMasses_ordered u hu bs hb | |
| exact sampledPairDisorder_mesh_comparison hw φ D hD hφ q hq u.property.le | |
| _ _ _ _ h₁.1 h₁.2 h₂.1 h₂.2 (retainedBefore_bounds u as) (retainedBefore_bounds u bs) | |
| (retainedBefore_end u as) (retainedBefore_end u bs) | |
| (retainedAfter_end u as) (retainedAfter_end u bs) | |
| (retainedMasses_mesh u hu as ha hh hmesh) (retainedMasses_mesh u hu bs hb hk kmesh) P hK hP x | |
| theorem retainedPairSample_cauchy {w : S → ℝ} (hw : ∀ σ, 0<w σ) | |
| (φ : S → (ι → ℝ) →L[ℝ] ℝ) (D : ι → ℝ) (hD : ∀ i, 0≤D i) | |
| (hφ : ∀ σ i, |φ σ (Pi.single i 1)|≤D i) | |
| (q : ℝ → ι → ℝ≥0) (hq : ∀ i, MonotoneOn (fun u => q u i) (Icc (0:ℝ) 1)) | |
| (u : PositiveMass) (hu : u.val≤1) (P : S → S → ℝ) | |
| {K : ℝ} (hK : 0≤K) (hP : ∀ σ τ, |P σ τ|≤K) (x : ι → ℝ) : | |
| CauchySeq (fun k => retainedPairSample w φ q u (uniformMasses k) P x) := by | |
| apply Metric.cauchySeq_iff.mpr | |
| intro ε hε | |
| let C := ClockTree.errorJetVariation 2 0 0*K*(2*clockVariationBound D q) | |
| have ht : Tendsto (fun n : ℕ => ((n+1:ℕ):ℝ)⁻¹*C) atTop (𝓝 0) := by | |
| simpa using uniformMasses_mesh_tendsto.mul_const C | |
| obtain ⟨N,hN⟩ := eventually_atTop.mp (ht.eventually (gt_mem_nhds (half_pos hε))) | |
| refine ⟨N,fun n hn m hm => ?_⟩ | |
| rw [Real.dist_eq] | |
| have hb := retainedPairSample_comparison hw φ D hD hφ q hq u hu | |
| (uniformMasses n) (uniformMasses m) (uniformMasses_ordered n) (uniformMasses_ordered m) | |
| (by positivity) (by positivity) (uniformMasses_mesh n) (uniformMasses_mesh m) P hK hP x | |
| apply hb.trans_lt | |
| have he : ClockTree.errorJetVariation 2 0 0*K* | |
| (2*(((n+1:ℕ):ℝ)⁻¹+((m+1:ℕ):ℝ)⁻¹)*clockVariationBound D q)= | |
| ((n+1:ℕ):ℝ)⁻¹*C+((m+1:ℕ):ℝ)⁻¹*C := by dsimp [C]; ring | |
| rw [he] | |
| linarith [hN n hn,hN m hm] | |
| def pathPairDisorder (w : S → ℝ) (φ : S → (ι → ℝ) →L[ℝ] ℝ) | |
| (q : ℝ → ι → ℝ≥0) (u : PositiveMass) (P : S → S → ℝ) (x : ι → ℝ) : ℝ := | |
| limUnder atTop (fun k => retainedPairSample w φ q u (uniformMasses k) P x) | |
| theorem retainedPairSample_tendsto {w : S → ℝ} (hw : ∀ σ, 0<w σ) | |
| (φ : S → (ι → ℝ) →L[ℝ] ℝ) (D : ι → ℝ) (hD : ∀ i, 0≤D i) | |
| (hφ : ∀ σ i, |φ σ (Pi.single i 1)|≤D i) | |
| (q : ℝ → ι → ℝ≥0) (hq : ∀ i, MonotoneOn (fun u => q u i) (Icc (0:ℝ) 1)) | |
| (u : PositiveMass) (hu : u.val≤1) (P : S → S → ℝ) | |
| {K : ℝ} (hK : 0≤K) (hP : ∀ σ τ, |P σ τ|≤K) (x : ι → ℝ) : | |
| Tendsto (fun k => retainedPairSample w φ q u (uniformMasses k) P x) atTop | |
| (𝓝 (pathPairDisorder w φ q u P x)) := | |
| (retainedPairSample_cauchy hw φ D hD hφ q hq u hu P hK hP x).tendsto_limUnder | |
| end SKFluctuations.Hierarchy | |
| namespace SKFluctuations.Hierarchy | |
| open MeasureTheory ProbabilityTheory Filter Set | |
| open scoped Topology NNReal BigOperators | |
| variable {ι S : Type*} [Fintype ι] [Fintype S] | |
| theorem partitionSample_cross_error {q r : ℝ → ℝ} | |
| (hq : MonotoneOn q (Icc (0:ℝ) 1)) (hr : MonotoneOn r (Icc (0:ℝ) 1)) | |
| (as bs : List PositiveMass) (ha : MassOrdered 0 as) (hb : MassOrdered 0 bs) | |
| {h k : ℝ} (hm : PartitionMesh h 0 as) (hk : PartitionMesh k 0 bs) : | |
| (∫ u in (0:ℝ)..1, |partitionSample q 0 as u-partitionSample r 0 bs u|) ≤ | |
| h*(q 1-q 0)+k*(r 1-r 0)+(∫ u in (0:ℝ)..1, |q u-r u|) := by | |
| have hiq : IntervalIntegrable q volume 0 1 := | |
| (show MonotoneOn q (uIcc (0:ℝ) 1) by simpa using hq).intervalIntegrable | |
| have hir : IntervalIntegrable r volume 0 1 := | |
| (show MonotoneOn r (uIcc (0:ℝ) 1) by simpa using hr).intervalIntegrable | |
| have hia := partitionSample_intervalIntegrable q 0 as 0 1 | |
| have hib := partitionSample_intervalIntegrable r 0 bs 0 1 | |
| calc | |
| _ ≤ ∫ u in (0:ℝ)..1, (|q u-partitionSample q 0 as u|+ | |
| |r u-partitionSample r 0 bs u|+|q u-r u|) := by | |
| apply intervalIntegral.integral_mono_on (by norm_num) (hia.sub hib).abs | |
| (((hiq.sub hia).abs.add (hir.sub hib).abs).add (hiq.sub hir).abs) | |
| intro u hu | |
| have h₁ := abs_sub_le (partitionSample q 0 as u) (q u) (partitionSample r 0 bs u) | |
| have h₂ := abs_sub_le (q u) (r u) (partitionSample r 0 bs u) | |
| rw [abs_sub_comm (partitionSample q 0 as u) (q u)] at h₁ | |
| linarith | |
| _ = (∫ u in (0:ℝ)..1, |q u-partitionSample q 0 as u|)+ | |
| (∫ u in (0:ℝ)..1, |r u-partitionSample r 0 bs u|)+ | |
| (∫ u in (0:ℝ)..1, |q u-r u|) := by | |
| rw [intervalIntegral.integral_add | |
| ((hiq.sub hia).abs.add (hir.sub hib).abs) (hiq.sub hir).abs, | |
| intervalIntegral.integral_add (hiq.sub hia).abs (hir.sub hib).abs] | |
| _ ≤ _ := by linarith [partitionSample_l1_error hq as ha hm, partitionSample_l1_error hr bs hb hk] | |
| def clockL1Distance (D : ι → ℝ) (q r : ℝ → ι → ℝ≥0) : ℝ := | |
| (1/2:ℝ)*∑ i, (D i)^2*(∫ u in (0:ℝ)..1, |(q u i:ℝ)-(r u i:ℝ)|) | |
| theorem sampledDisorderPressure_cross_comparison [Nonempty S] [Nonempty ι] [DecidableEq ι] | |
| {w : S → ℝ} (hw : ∀ σ, 0 < w σ) (φ : S → (ι → ℝ) →L[ℝ] ℝ) | |
| (C D : ι → ℝ) (hC : ∀ σ i, (φ σ (Pi.single i 1))^2 = C i) | |
| (hD : ∀ i σ, |φ σ (Pi.single i 1)| ≤ D i) | |
| (q r : ℝ → ι → ℝ≥0) | |
| (hq : ∀ i, MonotoneOn (fun u => q u i) (Icc (0:ℝ) 1)) | |
| (hr : ∀ i, MonotoneOn (fun u => r u i) (Icc (0:ℝ) 1)) | |
| (as bs : List PositiveMass) (ha : MassOrdered 0 as) (hb : MassOrdered 0 bs) | |
| {h k : ℝ} (hm : PartitionMesh h 0 as) (hk : PartitionMesh k 0 bs) (x : ι → ℝ) : | |
| |sampledDisorderPressure w φ C q as x-sampledDisorderPressure w φ C r bs x| ≤ | |
| h*clockVariationBound D q+k*clockVariationBound D r+clockL1Distance D q r := by | |
| have ht := stepDisorderPressure_l1_comparison hw φ C D hC hD (q 0) (r 0) | |
| (sampleClockSteps q 0 as) (sampleClockSteps r 0 bs) | |
| (sampleClockSteps_ordered q as ha) (sampleClockSteps_ordered r bs hb) x | |
| simp_rw [sampleClockSteps_function q hq as ha,sampleClockSteps_function r hr bs hb] at ht | |
| apply ht.trans | |
| calc | |
| _ ≤ (1/2:ℝ)*∑ i, (D i)^2*(h*((q 1 i:ℝ)-(q 0 i:ℝ))+ | |
| k*((r 1 i:ℝ)-(r 0 i:ℝ))+(∫ u in (0:ℝ)..1, |(q u i:ℝ)-(r u i:ℝ)|)) := by | |
| apply mul_le_mul_of_nonneg_left (Finset.sum_le_sum _) (by norm_num) | |
| intro i _ | |
| apply mul_le_mul_of_nonneg_left _ (sq_nonneg _) | |
| apply partitionSample_cross_error _ _ as bs ha hb hm hk | |
| · intro u hu v hv huv | |
| exact_mod_cast (hq i) hu hv huv | |
| · intro u hu v hv huv | |
| exact_mod_cast (hr i) hu hv huv | |
| _ = _ := by | |
| unfold clockVariationBound clockL1Distance | |
| simp only [Finset.mul_sum,← Finset.sum_add_distrib] | |
| apply Finset.sum_congr rfl | |
| intro i _ | |
| ring | |
| theorem pathDisorderPressure_l1_comparison [Nonempty S] [Nonempty ι] [DecidableEq ι] | |
| {w : S → ℝ} (hw : ∀ σ, 0 < w σ) (φ : S → (ι → ℝ) →L[ℝ] ℝ) | |
| (C D : ι → ℝ) (hC : ∀ σ i, (φ σ (Pi.single i 1))^2 = C i) | |
| (hD : ∀ i σ, |φ σ (Pi.single i 1)| ≤ D i) | |
| (q r : ℝ → ι → ℝ≥0) | |
| (hq : ∀ i, MonotoneOn (fun u => q u i) (Icc (0:ℝ) 1)) | |
| (hr : ∀ i, MonotoneOn (fun u => r u i) (Icc (0:ℝ) 1)) (x : ι → ℝ) : | |
| |pathDisorderPressure w φ C q x-pathDisorderPressure w φ C r x| ≤ clockL1Distance D q r := by | |
| have ht := ((sampledDisorderPressure_tendsto hw φ C D hC hD q hq x).sub | |
| (sampledDisorderPressure_tendsto hw φ C D hC hD r hr x)).abs | |
| have hu : Tendsto (fun n : ℕ => ((n+1:ℕ):ℝ)⁻¹*clockVariationBound D q+ | |
| ((n+1:ℕ):ℝ)⁻¹*clockVariationBound D r+clockL1Distance D q r) | |
| atTop (𝓝 (clockL1Distance D q r)) := by | |
| simpa using ((uniformMasses_mesh_tendsto.mul_const (clockVariationBound D q)).add | |
| (uniformMasses_mesh_tendsto.mul_const (clockVariationBound D r))).add_const (clockL1Distance D q r) | |
| exact le_of_tendsto_of_tendsto ht hu (Eventually.of_forall fun n => | |
| sampledDisorderPressure_cross_comparison hw φ C D hC hD q r hq hr | |
| (uniformMasses n) (uniformMasses n) (uniformMasses_ordered n) (uniformMasses_ordered n) | |
| (uniformMasses_mesh n) (uniformMasses_mesh n) x) | |
| end SKFluctuations.Hierarchy | |
| namespace SKFluctuations.Hierarchy | |
| open MeasureTheory ProbabilityTheory Filter Set | |
| open scoped Topology NNReal BigOperators | |
| variable {ι S : Type*} [Fintype ι] [Fintype S] | |
| omit [Fintype ι] in | |
| theorem stepClockFunction_intervalIntegrable (q₀ : ι → ℝ) {L : List (GaussianStep ι)} | |
| {a : ℝ} (ho : OrderedSteps a L) (i : ι) (c d : ℝ) : | |
| IntervalIntegrable (fun u => stepClockFunction q₀ L u i) volume c d := by | |
| simp_rw [stepClockFunction_eq q₀ ho] | |
| exact massStepFunction_intervalIntegrable _ _ _ _ | |
| theorem partitionSample_compare_integral {f q : ℝ → ℝ} | |
| (hf : IntervalIntegrable f volume 0 1) (hq : MonotoneOn q (Icc (0:ℝ) 1)) | |
| (as : List PositiveMass) (ha : MassOrdered 0 as) {h : ℝ} (hm : PartitionMesh h 0 as) : | |
| (∫ u in (0:ℝ)..1, |f u-partitionSample q 0 as u|) ≤ | |
| (∫ u in (0:ℝ)..1, |f u-q u|)+h*(q 1-q 0) := by | |
| have hiq : IntervalIntegrable q volume 0 1 := | |
| (show MonotoneOn q (uIcc (0:ℝ) 1) by simpa using hq).intervalIntegrable | |
| have hia := partitionSample_intervalIntegrable q 0 as 0 1 | |
| calc | |
| _ ≤ ∫ u in (0:ℝ)..1, (|f u-q u|+|q u-partitionSample q 0 as u|) := | |
| intervalIntegral.integral_mono_on (by norm_num) (hf.sub hia).abs | |
| ((hf.sub hiq).abs.add (hiq.sub hia).abs) (fun u _ => abs_sub_le _ _ _) | |
| _ = (∫ u in (0:ℝ)..1, |f u-q u|)+(∫ u in (0:ℝ)..1, |q u-partitionSample q 0 as u|) := | |
| intervalIntegral.integral_add (hf.sub hiq).abs (hiq.sub hia).abs | |
| _ ≤ _ := by linarith [partitionSample_l1_error hq as ha hm] | |
| def stepPathClockDistance (D : ι → ℝ) (q₀ : ι → ℝ≥0) (L : List (GaussianStep ι)) | |
| (q : ℝ → ι → ℝ≥0) : ℝ := | |
| (1/2:ℝ)*∑ i, (D i)^2*(∫ u in (0:ℝ)..1, |stepClockFunction (fun i => (q₀ i:ℝ)) L u i-(q u i:ℝ)|) | |
| theorem stepDisorderPressure_path_comparison [Nonempty S] [Nonempty ι] [DecidableEq ι] | |
| {w : S → ℝ} (hw : ∀ σ, 0 < w σ) (φ : S → (ι → ℝ) →L[ℝ] ℝ) | |
| (C D : ι → ℝ) (hC : ∀ σ i, (φ σ (Pi.single i 1))^2 = C i) | |
| (hD : ∀ i σ, |φ σ (Pi.single i 1)| ≤ D i) | |
| (q₀ : ι → ℝ≥0) (L : List (GaussianStep ι)) (ho : OrderedSteps 0 L) | |
| (q : ℝ → ι → ℝ≥0) (hq : ∀ i, MonotoneOn (fun u => q u i) (Icc (0:ℝ) 1)) | |
| (x : ι → ℝ) : | |
| |stepDisorderPressure w φ C q₀ L x-pathDisorderPressure w φ C q x| ≤ | |
| stepPathClockDistance D q₀ L q := by | |
| have hb (n : ℕ) : |stepDisorderPressure w φ C q₀ L x- | |
| sampledDisorderPressure w φ C q (uniformMasses n) x| ≤ | |
| stepPathClockDistance D q₀ L q+((n+1:ℕ):ℝ)⁻¹*clockVariationBound D q := by | |
| have ht := stepDisorderPressure_l1_comparison hw φ C D hC hD q₀ (q 0) L | |
| (sampleClockSteps q 0 (uniformMasses n)) ho | |
| (sampleClockSteps_ordered q _ (uniformMasses_ordered n)) x | |
| simp_rw [sampleClockSteps_function q hq _ (uniformMasses_ordered n)] at ht | |
| apply ht.trans | |
| calc | |
| _ ≤ (1/2:ℝ)*∑ i, (D i)^2*((∫ u in (0:ℝ)..1, | |
| |stepClockFunction (fun i => (q₀ i:ℝ)) L u i-(q u i:ℝ)|)+ | |
| ((n+1:ℕ):ℝ)⁻¹*((q 1 i:ℝ)-(q 0 i:ℝ))) := by | |
| apply mul_le_mul_of_nonneg_left (Finset.sum_le_sum _) (by norm_num) | |
| intro i _ | |
| apply mul_le_mul_of_nonneg_left _ (sq_nonneg _) | |
| apply partitionSample_compare_integral | |
| (stepClockFunction_intervalIntegrable _ ho i 0 1) _ _ (uniformMasses_ordered n) (uniformMasses_mesh n) | |
| intro u hu v hv huv | |
| exact_mod_cast (hq i) hu hv huv | |
| _ = _ := by | |
| unfold stepPathClockDistance clockVariationBound | |
| simp only [Finset.mul_sum,← Finset.sum_add_distrib] | |
| apply Finset.sum_congr rfl | |
| intro i _ | |
| ring | |
| have hl := ((tendsto_const_nhds (x := stepDisorderPressure w φ C q₀ L x)).sub | |
| (sampledDisorderPressure_tendsto hw φ C D hC hD q hq x)).abs | |
| have hr : Tendsto (fun n : ℕ => stepPathClockDistance D q₀ L q+ | |
| ((n+1:ℕ):ℝ)⁻¹*clockVariationBound D q) atTop (𝓝 (stepPathClockDistance D q₀ L q)) := by | |
| simpa using tendsto_const_nhds.add (uniformMasses_mesh_tendsto.mul_const (clockVariationBound D q)) | |
| exact le_of_tendsto_of_tendsto hl hr (Eventually.of_forall hb) | |
| theorem stepDisorderPressure_tendsto_path [Nonempty S] [Nonempty ι] [DecidableEq ι] | |
| {w : S → ℝ} (hw : ∀ σ, 0 < w σ) (φ : S → (ι → ℝ) →L[ℝ] ℝ) | |
| (C D : ι → ℝ) (hC : ∀ σ i, (φ σ (Pi.single i 1))^2 = C i) | |
| (hD : ∀ i σ, |φ σ (Pi.single i 1)| ≤ D i) | |
| (q₀ : ℕ → ι → ℝ≥0) (L : ℕ → List (GaussianStep ι)) (ho : ∀ n, OrderedSteps 0 (L n)) | |
| (q : ℝ → ι → ℝ≥0) (hq : ∀ i, MonotoneOn (fun u => q u i) (Icc (0:ℝ) 1)) | |
| (hL : Tendsto (fun n => stepPathClockDistance D (q₀ n) (L n) q) atTop (𝓝 0)) (x : ι → ℝ) : | |
| Tendsto (fun n => stepDisorderPressure w φ C (q₀ n) (L n) x) atTop | |
| (𝓝 (pathDisorderPressure w φ C q x)) := by | |
| rw [tendsto_iff_norm_sub_tendsto_zero] | |
| simp only [Real.norm_eq_abs] | |
| exact squeeze_zero (fun _ => abs_nonneg _) (fun n => | |
| stepDisorderPressure_path_comparison hw φ C D hC hD (q₀ n) (L n) (ho n) q hq x) hL | |
| end SKFluctuations.Hierarchy | |
| namespace SKFluctuations.Hierarchy | |
| open MeasureTheory ProbabilityTheory Filter Set | |
| open scoped Topology NNReal BigOperators | |
| variable {ι : Type*} [Fintype ι] | |
| theorem clockCoordinateDistance_integral (D : ι → ℝ) (f g : ℝ → ι → ℝ) | |
| (hf : ∀ i, IntervalIntegrable (fun u => f u i) volume 0 1) | |
| (hg : ∀ i, IntervalIntegrable (fun u => g u i) volume 0 1) : | |
| (∫ u in (0:ℝ)..1, clockCoordinateDistance D (f u) (g u))= | |
| ∑ i, (∫ u in (0:ℝ)..1, |f u i-g u i|)*(D i)^2 := by | |
| unfold clockCoordinateDistance | |
| rw [intervalIntegral.integral_finsetSum] | |
| · simp_rw [intervalIntegral.integral_mul_const] | |
| · exact fun i _ => ((hf i).sub (hg i)).abs.mul_const _ | |
| theorem stepClock_sample_distance (D : ι → ℝ) (q₀ : ι → ℝ≥0) | |
| (L : List (GaussianStep ι)) (hL : OrderedSteps 0 L) | |
| (q : ℝ → ι → ℝ≥0) (hq : ∀ i, MonotoneOn (fun u => q u i) (Icc (0:ℝ) 1)) | |
| (as : List PositiveMass) (ha : MassOrdered 0 as) {h : ℝ} (hm : PartitionMesh h 0 as) : | |
| (∫ u in (0:ℝ)..1, clockCoordinateDistance D | |
| (stepClockFunction (fun i => (q₀ i:ℝ)) L u) | |
| (fun i => partitionSample (fun u => (q u i:ℝ)) 0 as u)) ≤ | |
| 2*stepPathClockDistance D q₀ L q+2*h*clockVariationBound D q := by | |
| rw [clockCoordinateDistance_integral D _ _ | |
| (fun i => stepClockFunction_intervalIntegrable _ hL i 0 1) | |
| (fun i => partitionSample_intervalIntegrable _ _ _ _ _)] | |
| calc | |
| _ ≤ ∑ i, ((∫ u in (0:ℝ)..1, |stepClockFunction (fun i => (q₀ i:ℝ)) L u i-(q u i:ℝ)|)+ | |
| h*((q 1 i:ℝ)-(q 0 i:ℝ)))*(D i)^2 := by | |
| apply Finset.sum_le_sum | |
| intro i _ | |
| apply mul_le_mul_of_nonneg_right _ (sq_nonneg _) | |
| apply partitionSample_compare_integral (stepClockFunction_intervalIntegrable _ hL i 0 1) | |
| _ as ha hm | |
| intro u hu v hv huv | |
| exact_mod_cast (hq i) hu hv huv | |
| _ = _ := by | |
| unfold stepPathClockDistance clockVariationBound | |
| simp only [Finset.mul_sum,←Finset.sum_add_distrib] | |
| apply Finset.sum_congr rfl | |
| intro i _ | |
| ring | |
| def stepPathPairDistance (D : ι → ℝ) (q₀ : ι → ℝ≥0) (A B : List (GaussianStep ι)) | |
| (q : ℝ → ι → ℝ≥0) (u : ℝ) : ℝ := | |
| clockCoordinateDistance D (stepClockValues (fun i => (q₀ i:ℝ)) A A.length) (fun i => (q u i:ℝ))+ | |
| 2*stepPathClockDistance D q₀ (A++B) q+ | |
| clockCoordinateDistance D (stepClockValues (fun i => (q₀ i:ℝ)) (A++B) (A++B).length) | |
| (fun i => (q 1 i:ℝ)) | |
| end SKFluctuations.Hierarchy | |
| namespace SKFluctuations.Hierarchy | |
| open MeasureTheory ProbabilityTheory Filter Set | |
| open scoped Topology NNReal BigOperators | |
| variable {S ι : Type*} [Fintype S] [Nonempty S] [Fintype ι] [Nonempty ι] | |
| attribute [local instance] Classical.propDecidable | |
| theorem stepPairDisorder_sample_comparison {w : S → ℝ} (hw : ∀ σ, 0<w σ) | |
| (φ : S → (ι → ℝ) →L[ℝ] ℝ) (D : ι → ℝ) (hD : ∀ i, 0≤D i) | |
| (hφ : ∀ σ i, |φ σ (Pi.single i 1)|≤D i) | |
| (q₀ : ι → ℝ≥0) (A B : List (GaussianStep ι)) {u : ℝ} | |
| (hu : 0≤u) (hA : OrderedSteps 0 A) (hB : OrderedSteps u B) (hAu : ∀ s ∈ A, s.1≤u) | |
| (q : ℝ → ι → ℝ≥0) (hq : ∀ i, MonotoneOn (fun u => q u i) (Icc (0:ℝ) 1)) | |
| (as bs : List PositiveMass) (ha : MassOrdered 0 as) (hb : MassOrdered u bs) | |
| (hau : ∀ a ∈ as, a.val≤u) (heA : partitionEnd 0 as=u) (hetB : partitionEnd u bs=1) | |
| {h : ℝ} (hmesh : PartitionMesh h 0 (as++bs)) | |
| (P : S → S → ℝ) {K : ℝ} (hK : 0≤K) (hP : ∀ σ τ, |P σ τ|≤K) (x : ι → ℝ) : | |
| |stepPairDisorder w φ q₀ A B P x-sampledPairDisorder w φ q u as bs P x| ≤ | |
| ClockTree.errorJetVariation 2 0 0*K* | |
| (stepPathPairDistance D q₀ A B q u+2*h*clockVariationBound D q) := by | |
| have hoa : MassOrdered 0 (as++bs) := ha.append_end (heA.symm ▸ hb) | |
| have ht := stepPairDisorder_l1_comparison hw φ D hD hφ q₀ (q 0) | |
| A B (sampleClockSteps q 0 as) (sampleClockSteps q u bs) hu hA hB | |
| (sampleClockSteps_ordered q as ha) (sampleClockSteps_ordered q bs hb) | |
| hAu (sampleClockSteps_mass_le q 0 as hau) P hK hP x | |
| rw [sampleClockSteps_terminal q hq 0 as ha,heA] at ht | |
| have hAB : sampleClockSteps q 0 as++sampleClockSteps q u bs=sampleClockSteps q 0 (as++bs) := by | |
| rw [sampleClockSteps_append,heA] | |
| rw [hAB,sampleClockSteps_terminal q hq 0 (as++bs) hoa, | |
| partitionEnd_append,heA,hetB] at ht | |
| have hfun : stepClockFunction (fun i => (q 0 i:ℝ)) (sampleClockSteps q 0 (as++bs)) = | |
| fun u i => partitionSample (fun v => (q v i:ℝ)) 0 (as++bs) u := by | |
| funext u i | |
| exact sampleClockSteps_function q hq _ hoa u i | |
| rw [hfun] at ht | |
| apply ht.trans | |
| apply mul_le_mul_of_nonneg_left _ (mul_nonneg (ClockTree.errorJetVariation_nonneg 2 0 0) hK) | |
| have hh := stepClock_sample_distance D q₀ (A++B) (hA.append_bound hu hAu hB) q hq (as++bs) hoa hmesh | |
| dsimp only [stepPathPairDistance] | |
| linarith | |
| theorem stepPairDisorder_path_comparison {w : S → ℝ} (hw : ∀ σ, 0<w σ) | |
| (φ : S → (ι → ℝ) →L[ℝ] ℝ) (D : ι → ℝ) (hD : ∀ i, 0≤D i) | |
| (hφ : ∀ σ i, |φ σ (Pi.single i 1)|≤D i) | |
| (q₀ : ι → ℝ≥0) (A B : List (GaussianStep ι)) (u : PositiveMass) (hu : u.val≤1) | |
| (hA : OrderedSteps 0 A) (hB : OrderedSteps u.val B) (hAu : ∀ s ∈ A, s.1≤u.val) | |
| (q : ℝ → ι → ℝ≥0) (hq : ∀ i, MonotoneOn (fun u => q u i) (Icc (0:ℝ) 1)) | |
| (P : S → S → ℝ) {K : ℝ} (hK : 0≤K) (hP : ∀ σ τ, |P σ τ|≤K) (x : ι → ℝ) : | |
| |stepPairDisorder w φ q₀ A B P x-pathPairDisorder w φ q u P x| ≤ | |
| ClockTree.errorJetVariation 2 0 0*K*stepPathPairDistance D q₀ A B q u.val := by | |
| have hb (n : ℕ) : |stepPairDisorder w φ q₀ A B P x- | |
| retainedPairSample w φ q u (uniformMasses n) P x| ≤ | |
| ClockTree.errorJetVariation 2 0 0*K* | |
| (stepPathPairDistance D q₀ A B q u.val+2*((n+1:ℕ):ℝ)⁻¹*clockVariationBound D q) := by | |
| have ho := retainedMasses_ordered u hu (uniformMasses n) (uniformMasses_ordered n) | |
| exact stepPairDisorder_sample_comparison hw φ D hD hφ q₀ A B u.property.le hA hB hAu | |
| q hq _ _ ho.1 ho.2 (retainedBefore_bounds u _) (retainedBefore_end u _) (retainedAfter_end u _) | |
| (retainedMasses_mesh u hu _ (uniformMasses_ordered n) (by positivity) (uniformMasses_mesh n)) P hK hP x | |
| have hl := ((tendsto_const_nhds (x := stepPairDisorder w φ q₀ A B P x)).sub (retainedPairSample_tendsto hw φ D hD hφ q hq u hu P hK hP x)).abs | |
| have hr : Tendsto (fun n : ℕ => ClockTree.errorJetVariation 2 0 0*K* | |
| (stepPathPairDistance D q₀ A B q u.val+2*((n+1:ℕ):ℝ)⁻¹*clockVariationBound D q)) atTop | |
| (𝓝 (ClockTree.errorJetVariation 2 0 0*K*stepPathPairDistance D q₀ A B q u.val)) := by | |
| simpa using (tendsto_const_nhds.add ((uniformMasses_mesh_tendsto.const_mul 2).mul_const | |
| (clockVariationBound D q))).const_mul (ClockTree.errorJetVariation 2 0 0*K) | |
| exact le_of_tendsto_of_tendsto hl hr (Eventually.of_forall hb) | |
| theorem stepPairDisorder_tendsto_path {w : S → ℝ} (hw : ∀ σ, 0<w σ) | |
| (φ : S → (ι → ℝ) →L[ℝ] ℝ) (D : ι → ℝ) (hD : ∀ i, 0≤D i) | |
| (hφ : ∀ σ i, |φ σ (Pi.single i 1)|≤D i) | |
| (q₀ : ℕ → ι → ℝ≥0) (A B : ℕ → List (GaussianStep ι)) (u : PositiveMass) (hu : u.val≤1) | |
| (hA : ∀ n, OrderedSteps 0 (A n)) (hB : ∀ n, OrderedSteps u.val (B n)) | |
| (hAu : ∀ n s, s ∈ A n → s.1≤u.val) | |
| (q : ℝ → ι → ℝ≥0) (hq : ∀ i, MonotoneOn (fun u => q u i) (Icc (0:ℝ) 1)) | |
| (hpath : Tendsto (fun n => stepPathPairDistance D (q₀ n) (A n) (B n) q u.val) atTop (𝓝 0)) | |
| (P : S → S → ℝ) {K : ℝ} (hK : 0≤K) (hP : ∀ σ τ, |P σ τ|≤K) (x : ι → ℝ) : | |
| Tendsto (fun n => stepPairDisorder w φ (q₀ n) (A n) (B n) P x) atTop | |
| (𝓝 (pathPairDisorder w φ q u P x)) := by | |
| rw [tendsto_iff_norm_sub_tendsto_zero] | |
| simp only [Real.norm_eq_abs] | |
| apply squeeze_zero (fun _ => abs_nonneg _) (fun n => | |
| stepPairDisorder_path_comparison hw φ D hD hφ (q₀ n) (A n) (B n) u hu (hA n) (hB n) (hAu n) q hq P hK hP x) | |
| simpa using hpath.const_mul (ClockTree.errorJetVariation 2 0 0*K) | |
| end SKFluctuations.Hierarchy | |
| namespace SKFluctuations.Hierarchy | |
| open MeasureTheory ProbabilityTheory Filter Set | |
| open scoped Topology NNReal BigOperators | |
| theorem partitionSample_comp (q : ℝ → ℝ) (a : ℝ) (as : List PositiveMass) (u : ℝ) : | |
| partitionSample q a as u=q (partitionSample id a as u) := by | |
| induction as generalizing a with | |
| | nil => rfl | |
| | cons b bs ih => | |
| simp only [partitionSample_cons] | |
| split_ifs <;> simp_all | |
| theorem partitionSample_id_bounds {h a u : ℝ} (as : List PositiveMass) | |
| (ho : MassOrdered a as) (hm : PartitionMesh h a as) (hu : u ∈ Icc a 1) : | |
| a ≤ partitionSample id a as u ∧ partitionSample id a as u ≤ u ∧ | |
| u-partitionSample id a as u ≤ h := by | |
| induction as generalizing a with | |
| | nil => | |
| change 1-a≤h at hm | |
| simpa only [partitionSample_nil,id_eq] using | |
| (show a≤a ∧ a≤u ∧ u-a≤h from ⟨le_rfl,hu.1,by linarith [hu.2]⟩) | |
| | cons b bs ih => | |
| rw [partitionSample_cons] | |
| split_ifs with hb | |
| · exact ⟨le_rfl,hu.1,by dsimp; linarith [hm.1]⟩ | |
| · obtain ⟨h₁,h₂,h₃⟩ := ih ho.2.2 hm.2 ⟨le_of_not_gt hb,hu.2⟩ | |
| exact ⟨ho.2.1.trans h₁,h₂,h₃⟩ | |
| theorem partitionSample_tendsto {q : ℝ → ℝ} {a u : ℝ} | |
| (as : ℕ → List PositiveMass) (h : ℕ → ℝ) | |
| (ho : ∀ n, MassOrdered a (as n)) (hm : ∀ n, PartitionMesh (h n) a (as n)) | |
| (hh : Tendsto h atTop (𝓝 0)) (hu : u ∈ Icc a 1) | |
| (hc : ContinuousWithinAt q (Icc a 1) u) : | |
| Tendsto (fun n => partitionSample q a (as n) u) atTop (𝓝 (q u)) := by | |
| have ht : Tendsto (fun n => partitionSample id a (as n) u) atTop (𝓝 u) := by | |
| rw [tendsto_iff_norm_sub_tendsto_zero] | |
| simp only [Real.norm_eq_abs] | |
| apply squeeze_zero (fun _ => abs_nonneg _) _ hh | |
| intro n | |
| have hb := partitionSample_id_bounds (as n) (ho n) (hm n) hu | |
| rw [abs_of_nonpos (sub_nonpos.mpr hb.2.1)] | |
| linarith [hb.2.2] | |
| have hw : Tendsto (fun n => partitionSample id a (as n) u) atTop (𝓝[Icc a 1] u) := | |
| tendsto_nhdsWithin_iff.mpr ⟨ht,Eventually.of_forall fun n => | |
| let hb := partitionSample_id_bounds (as n) (ho n) (hm n) hu | |
| ⟨hb.1,hb.2.1.trans hu.2⟩⟩ | |
| have he : (fun n => partitionSample q a (as n) u) = | |
| (fun n => q (partitionSample id a (as n) u)) := funext (fun n => partitionSample_comp q a (as n) u) | |
| rw [he] | |
| exact hc.tendsto.comp hw | |
| theorem uniformSample_tendsto {q : ℝ → ℝ} {u : ℝ} (hu : u ∈ Icc (0:ℝ) 1) | |
| (hc : ContinuousWithinAt q (Icc (0:ℝ) 1) u) : | |
| Tendsto (fun n => partitionSample q 0 (uniformMasses n) u) atTop (𝓝 (q u)) := | |
| partitionSample_tendsto _ _ uniformMasses_ordered uniformMasses_mesh | |
| uniformMasses_mesh_tendsto hu hc | |
| end SKFluctuations.Hierarchy | |
| namespace SKFluctuations.Hierarchy | |
| open MeasureTheory ProbabilityTheory Filter Set | |
| open scoped Topology NNReal BigOperators | |
| variable {S ι : Type*} [Fintype S] [Nonempty S] [Fintype ι] [Nonempty ι] | |
| attribute [local instance] Classical.propDecidable | |
| def pathPairMoment (w : S → ℝ) (φ : S → (ι → ℝ) →L[ℝ] ℝ) | |
| (q : ℝ → ι → ℝ≥0) (P : S → S → ℝ) (u : ℝ) : ℝ := | |
| if h : 0<u then pathPairDisorder w φ q ⟨u,h⟩ P 0 else 0 | |
| theorem stepPairMoment_path_comparison {w : S → ℝ} (hw : ∀ σ, 0<w σ) | |
| (φ : S → (ι → ℝ) →L[ℝ] ℝ) (D : ι → ℝ) (hD : ∀ i, 0≤D i) | |
| (hφ : ∀ σ i, |φ σ (Pi.single i 1)|≤D i) | |
| (q₀ : ι → ℝ≥0) (L : List (GaussianStep ι)) (hL : OrderedSteps 0 L) | |
| (q : ℝ → ι → ℝ≥0) (hq : ∀ i, MonotoneOn (fun u => q u i) (Icc (0:ℝ) 1)) | |
| (P : S → S → ℝ) {K : ℝ} (hK : 0≤K) (hP : ∀ σ τ, |P σ τ|≤K) | |
| {u : ℝ} (hu : u ∈ Ioc (0:ℝ) 1) : | |
| |stepPairMoment w φ q₀ L hL.mem_pos P u-pathPairMoment w φ q P u| ≤ | |
| ClockTree.errorJetVariation 2 0 0*K*( | |
| clockCoordinateDistance D (stepClockFunction (fun i => (q₀ i:ℝ)) L u) | |
| (fun i => (q u i:ℝ))+2*stepPathClockDistance D q₀ L q+ | |
| clockCoordinateDistance D (stepClockValues (fun i => (q₀ i:ℝ)) L L.length) | |
| (fun i => (q 1 i:ℝ))) := by | |
| have ho := splitClockSteps_ordered u ⟨hu.1.le,hu.2⟩ L hL hu.1.le | |
| rw [stepPairMoment_eq_split hw φ q₀ L hL, pathPairMoment,dite_eq_left hu.1] | |
| have hb := stepPairDisorder_path_comparison hw φ D hD hφ q₀ | |
| (splitClockSteps u L).1 (splitClockSteps u L).2 ⟨u,hu.1⟩ hu.2 | |
| ho.1 ho.2.1 ho.2.2 q hq P hK hP 0 | |
| simpa only [stepPathPairDistance,splitClockSteps_append,←stepClockFunction_split _ _ _ hL] using hb | |
| omit [Nonempty ι] in | |
| theorem sample_stepPathClockDistance_le (D : ι → ℝ) (q : ℝ → ι → ℝ≥0) | |
| (hq : ∀ i, MonotoneOn (fun u => q u i) (Icc (0:ℝ) 1)) | |
| (as : List PositiveMass) (ha : MassOrdered 0 as) {h : ℝ} (hm : PartitionMesh h 0 as) : | |
| stepPathClockDistance D (q 0) (sampleClockSteps q 0 as) q≤h*clockVariationBound D q := by | |
| unfold stepPathClockDistance clockVariationBound | |
| simp_rw [sampleClockSteps_function q hq as ha] | |
| calc | |
| _ ≤ (1/2:ℝ)*∑ i, (D i)^2*(h*((q 1 i:ℝ)-(q 0 i:ℝ))) := by | |
| apply mul_le_mul_of_nonneg_left (Finset.sum_le_sum _) (by norm_num) | |
| intro i _ | |
| apply mul_le_mul_of_nonneg_left _ (sq_nonneg _) | |
| simp_rw [abs_sub_comm (partitionSample _ _ _ _)] | |
| exact partitionSample_l1_error (fun u hu v hv huv => by exact_mod_cast hq i hu hv huv) as ha hm | |
| _ = _ := by simp only [Finset.mul_sum]; apply Finset.sum_congr rfl; intro i _; ring | |
| omit [Nonempty ι] in | |
| theorem stepPathClockDistance_nonneg (D : ι → ℝ) (q₀ : ι → ℝ≥0) | |
| (L : List (GaussianStep ι)) (q : ℝ → ι → ℝ≥0) : | |
| 0 ≤ stepPathClockDistance D q₀ L q := by | |
| unfold stepPathClockDistance | |
| exact mul_nonneg (by norm_num) (Finset.sum_nonneg (fun i _ => | |
| mul_nonneg (sq_nonneg _) (intervalIntegral.integral_nonneg (by norm_num) (fun _ _ => abs_nonneg _)))) | |
| theorem uniformMassTail_end {h : ℝ} (hh : 0<h) (k n : ℕ) : | |
| partitionEnd ((k:ℝ)*h) (uniformMassTail h hh k n)=(k+n:ℕ)*h := by | |
| induction n generalizing k with | |
| | zero => simp [uniformMassTail,partitionEnd] | |
| | succ n ih => | |
| simp only [uniformMassTail,partitionEnd] | |
| simpa only [Nat.add_assoc, Nat.add_comm 1 n] using ih (k+1) | |
| theorem uniformMasses_end (n : ℕ) : partitionEnd 0 (uniformMasses n)=1 := by | |
| have he := uniformMassTail_end (show 0<((n+1:ℕ):ℝ)⁻¹ by positivity) 0 (n+1) | |
| simpa [uniformMasses, mul_inv_cancel₀ (show ((n:ℝ)+1)≠0 by positivity)] using he | |
| theorem sampledPairMoment_tendsto {w : S → ℝ} (hw : ∀ σ, 0<w σ) | |
| (φ : S → (ι → ℝ) →L[ℝ] ℝ) (D : ι → ℝ) (hD : ∀ i, 0≤D i) | |
| (hφ : ∀ σ i, |φ σ (Pi.single i 1)|≤D i) | |
| (q : ℝ → ι → ℝ≥0) (hq : ∀ i, MonotoneOn (fun u => q u i) (Icc (0:ℝ) 1)) | |
| (P : S → S → ℝ) {K : ℝ} (hK : 0≤K) (hP : ∀ σ τ, |P σ τ|≤K) | |
| {u : ℝ} (hu : u ∈ Ioc (0:ℝ) 1) | |
| (hc : ∀ i, ContinuousWithinAt (fun v => (q v i:ℝ)) (Icc (0:ℝ) 1) u) : | |
| Tendsto (fun n => stepPairMoment w φ (q 0) (sampleClockSteps q 0 (uniformMasses n)) | |
| (sampleClockSteps_ordered q _ (uniformMasses_ordered n)).mem_pos P u) | |
| atTop (𝓝 (pathPairMoment w φ q P u)) := by | |
| have ht : Tendsto (fun n => clockCoordinateDistance D | |
| (stepClockFunction (fun i => (q 0 i:ℝ)) (sampleClockSteps q 0 (uniformMasses n)) u) | |
| (fun i => (q u i:ℝ))) atTop (𝓝 0) := by | |
| unfold clockCoordinateDistance | |
| simp_rw [sampleClockSteps_function q hq _ (uniformMasses_ordered _)] | |
| have hh := tendsto_finsetSum Finset.univ (fun i _ => | |
| ((uniformSample_tendsto ⟨hu.1.le,hu.2⟩ (hc i)).sub_const (q u i:ℝ)).abs.mul_const ((D i)^2)) | |
| simpa using hh | |
| have hl : Tendsto (fun n => stepPathClockDistance D (q 0) | |
| (sampleClockSteps q 0 (uniformMasses n)) q) atTop (𝓝 0) := | |
| squeeze_zero (fun _ => stepPathClockDistance_nonneg _ _ _ _) (fun n => | |
| sample_stepPathClockDistance_le D q hq _ (uniformMasses_ordered n) (uniformMasses_mesh n)) | |
| (by simpa using uniformMasses_mesh_tendsto.mul_const (clockVariationBound D q)) | |
| rw [tendsto_iff_norm_sub_tendsto_zero] | |
| simp only [Real.norm_eq_abs] | |
| apply squeeze_zero (fun _ => abs_nonneg _) (fun n => stepPairMoment_path_comparison hw φ D hD hφ | |
| (q 0) _ (sampleClockSteps_ordered q _ (uniformMasses_ordered n)) q hq P hK hP hu) | |
| simp_rw [sampleClockSteps_terminal q hq _ _ (uniformMasses_ordered _),uniformMasses_end] | |
| simpa [clockCoordinateDistance] using (ht.add (hl.const_mul 2)).const_mul (ClockTree.errorJetVariation 2 0 0*K) | |
| end SKFluctuations.Hierarchy | |
| namespace SKFluctuations.Hierarchy | |
| open MeasureTheory ProbabilityTheory Filter Set | |
| open scoped Topology NNReal BigOperators | |
| variable {S ι : Type*} [Fintype S] [Nonempty S] [Fintype ι] [Nonempty ι] | |
| attribute [local instance] Classical.propDecidable | |
| omit [Nonempty ι] in | |
| theorem ClockTree.disorderExpect_bound {w : S → ℝ} (hw : ∀ σ, 0<w σ) | |
| (φ : S → (ι → ℝ) →L[ℝ] ℝ) {as : List PositiveMass} (T : ClockTree S as) | |
| {a : ℝ} (ha : MassOrdered a as) (v : ι → ℝ) (q : ℕ → ι → ℝ) | |
| (P : T.Assignment → ℝ) {K : ℝ} (hP : ∀ σ, |P σ|≤K) (x : ι → ℝ) : | |
| |T.disorderExpect w φ v q P x|≤K := by | |
| rw [T.disorderExpect_integral hw φ ha] | |
| have hb (y : ι → ℝ) : |T.expect w φ (cumulativeIncrements (q 0) (fun j => q (j+1))) P (x+y)|≤K := by | |
| rw [T.expect_realize] | |
| exact (T.realize _).expect_abs_le hw φ (clockSteps_ordered ha _) (fun σ => hP _) _ | |
| have hi := norm_integral_le_of_norm_le_const (f := fun y => | |
| T.expect w φ (cumulativeIncrements (q 0) (fun j => q (j+1))) P (x+y)) | |
| (μ := Measure.pi fun i => gaussianReal 0 (q 0 i-v i).toNNReal) | |
| (Eventually.of_forall (fun y => by simpa only [Real.norm_eq_abs] using hb y)) | |
| simpa only [zeroContinuation,Real.norm_eq_abs,probReal_univ,mul_one] using hi | |
| omit [Nonempty ι] in | |
| theorem cumulativePair_bound {w : S → ℝ} (hw : ∀ σ, 0<w σ) | |
| (φ : S → (ι → ℝ) →L[ℝ] ℝ) (as : List PositiveMass) (ha : MassOrdered 0 as) | |
| (q : ℕ → ι → ℝ) (j : ℕ) (P : S → S → ℝ) {K : ℝ} (hP : ∀ σ τ, |P σ τ|≤K) : | |
| |cumulativePair w φ as q j P|≤K := | |
| ClockTree.disorderExpect_bound hw φ _ ha _ _ _ (fun _ => hP _ _) _ | |
| theorem stepPairMoment_bound {w : S → ℝ} (hw : ∀ σ, 0<w σ) | |
| (φ : S → (ι → ℝ) →L[ℝ] ℝ) (q₀ : ι → ℝ≥0) | |
| (L : List (GaussianStep ι)) (hL : OrderedSteps 0 L) (P : S → S → ℝ) | |
| {K : ℝ} (hP : ∀ σ τ, |P σ τ|≤K) (u : ℝ) : | |
| |stepPairMoment w φ q₀ L hL.mem_pos P u|≤K := by | |
| unfold stepPairMoment | |
| rw [massStepFunction_split_index] | |
| exact cumulativePair_bound hw φ _ (positiveStepMasses_ordered hL _) _ _ P hP | |
| omit [Nonempty ι] in | |
| theorem stepPairDisorder_bound {w : S → ℝ} (hw : ∀ σ, 0<w σ) | |
| (φ : S → (ι → ℝ) →L[ℝ] ℝ) (q₀ : ι → ℝ≥0) | |
| (A B : List (GaussianStep ι)) (ho : OrderedSteps 0 (A++B)) (P : S → S → ℝ) | |
| {K : ℝ} (hP : ∀ σ τ, |P σ τ|≤K) (x : ι → ℝ) : | |
| |stepPairDisorder w φ q₀ A B P x|≤K := by | |
| have hA : ∀ s ∈ A, 0<s.1 := fun s hs => ho.mem_pos s (List.mem_append_left _ hs) | |
| have hB : ∀ s ∈ B, 0<s.1 := fun s hs => ho.mem_pos s (List.mem_append_right _ hs) | |
| have hc := congr_fun (ClockTree.pairDisorder_coordinates hw φ A B hA hB ho q₀ P) x | |
| rw [←hc] | |
| apply ClockTree.disorderExpect_bound hw φ | |
| · rw [←positiveStepMasses_append] | |
| exact positiveStepMasses_ordered ho _ | |
| · exact fun σ => hP _ _ | |
| theorem pathPairMoment_bound {w : S → ℝ} (hw : ∀ σ, 0<w σ) | |
| (φ : S → (ι → ℝ) →L[ℝ] ℝ) (D : ι → ℝ) (hD : ∀ i, 0≤D i) | |
| (hφ : ∀ σ i, |φ σ (Pi.single i 1)|≤D i) | |
| (q : ℝ → ι → ℝ≥0) (hq : ∀ i, MonotoneOn (fun u => q u i) (Icc (0:ℝ) 1)) | |
| (P : S → S → ℝ) {K : ℝ} (hK : 0≤K) (hP : ∀ σ τ, |P σ τ|≤K) | |
| {u : ℝ} (hu : u ∈ Ioc (0:ℝ) 1) : |pathPairMoment w φ q P u|≤K := by | |
| rw [pathPairMoment,dite_eq_left hu.1] | |
| apply le_of_tendsto ((retainedPairSample_tendsto hw φ D hD hφ q hq ⟨u,hu.1⟩ hu.2 P hK hP 0).abs) | |
| apply Eventually.of_forall | |
| intro n | |
| change |stepPairDisorder w φ (q 0) | |
| (sampleClockSteps q 0 (retainedBefore ⟨u,hu.1⟩ (uniformMasses n))) | |
| (sampleClockSteps q u (retainedAfter ⟨u,hu.1⟩ (uniformMasses n))) P 0|≤K | |
| have ho := retainedMasses_ordered (⟨u,hu.1⟩ : PositiveMass) hu.2 (uniformMasses n) (uniformMasses_ordered n) | |
| apply stepPairDisorder_bound hw φ _ _ _ _ P hP | |
| exact (sampleClockSteps_ordered q _ ho.1).append_bound hu.1.le | |
| (sampleClockSteps_mass_le q _ _ (retainedBefore_bounds ⟨u,hu.1⟩ _)) | |
| (sampleClockSteps_ordered q _ ho.2) | |
| end SKFluctuations.Hierarchy | |
| end | |
| end OAI | |