Download lean/OAI/Probability/FKMaps/HeightBounds.lean from roseking/openAI-math-dataset: direct link, hf CLI and curl.
- Browser
- Download file 42.8 kB
-
https://huggingface.co/datasets/roseking/openAI-math-dataset/resolve/main/lean/OAI/Probability/FKMaps/HeightBounds.lean
- Command line
-
hf download hf://datasets/roseking/openAI-math-dataset/lean/OAI/Probability/FKMaps/HeightBounds.lean
-
curl -L -o HeightBounds.lean https://huggingface.co/datasets/roseking/openAI-math-dataset/resolve/main/lean/OAI/Probability/FKMaps/HeightBounds.lean
42.8 kB
| import OAI.Probability.FKMaps.ConditionedWalk | |
| namespace OAI | |
| noncomputable section | |
| open Set Filter MeasureTheory ProbabilityTheory | |
| open scoped Topology BigOperators ENNReal NNReal | |
| namespace FKCRT.TreeCoding | |
| lemma LadderEnumeration.prefixMaximum {S : ℕ → ℤ} {τ : ℕ → ℕ} | |
| (h : LadderEnumeration S τ) (n : ℕ) : | |
| prefixMaximum S n = S (τ (renewalCount τ n)) := | |
| prefixMaximum_eq (renewalCount_spec h.zero n) (fun _ hk => h.maximum hk) | |
| lemma prefix_record_remainder {x : ℕ → ℕ} (hx : HasAllLadders x) | |
| (ν ε A : ℝ) (h : ∀ r, |renewalLevel r x-ν*r| ≤ ε*renewalLevel r x+A) (n : ℕ) : | |
| |(prefixMaximum (integerSum x) n:ℝ)-ν*(weakRecords (integerSum x) n).card| ≤ | |
| ε*(prefixMaximum (integerSum x) n:ℝ)+A := by | |
| rw [(ladderTime_enumeration hx).prefixMaximum] | |
| exact record_count_remainder hx ν ε A h n | |
| lemma CriticalEvenOffspring.prefix_record_uniform_remainder (p : CriticalEvenOffspring) | |
| {ε : ℝ} (hε : 0<ε) : | |
| ∀ᵐ x ∂p.streamLaw, ∃ A : ℕ, ∀ n, | |
| |(prefixMaximum (integerSum x) n:ℝ)-(p.variance/2)*(weakRecords (integerSum x) n).card| ≤ | |
| ε*(prefixMaximum (integerSum x) n:ℝ)+A := by | |
| filter_upwards [p.ae_all_ladders,p.renewal_uniform_remainder hε] with x hx hrem | |
| obtain ⟨A,hA⟩ := hrem | |
| exact ⟨A,fun n => prefix_record_remainder hx _ _ _ hA n⟩ | |
| lemma CriticalEvenOffspring.prefix_record_remainder_probability (p : CriticalEvenOffspring) | |
| {ε : ℝ} (hε : 0<ε) : | |
| Tendsto (fun A : ℕ => p.streamLaw {x | ∃ n, | |
| ε*(prefixMaximum (integerSum x) n:ℝ)+A < | |
| |(prefixMaximum (integerSum x) n:ℝ)-(p.variance/2)*(weakRecords (integerSum x) n).card|}) | |
| atTop (𝓝 0) := by | |
| have hb (A : ℕ) : p.streamLaw {x | ∃ n, | |
| ε*(prefixMaximum (integerSum x) n:ℝ)+A < | |
| |(prefixMaximum (integerSum x) n:ℝ)-(p.variance/2)*(weakRecords (integerSum x) n).card|} ≤ | |
| p.streamLaw {x | ∃ r, ε*renewalLevel r x+A < |renewalLevel r x-(p.variance/2)*r|} := by | |
| apply measure_mono_ae | |
| filter_upwards [p.ae_all_ladders] with x hx | |
| rintro ⟨n,hn⟩ | |
| refine ⟨renewalCount (ladderTime x) n, ?_⟩ | |
| rwa [(ladderTime_enumeration hx).prefixMaximum, | |
| (ladderTime_enumeration hx).card_records, ladderTime_level_real hx] at hn | |
| exact tendsto_of_tendsto_of_tendsto_of_le_of_le tendsto_const_nhds | |
| (p.renewal_remainder_probability hε) (fun _ => bot_le) hb | |
| lemma le_prefixMaximum (S : ℕ → ℤ) {i n : ℕ} (hi : i≤n) : | |
| S i ≤ prefixMaximum S n := | |
| Finset.le_sup' S (Finset.mem_range.mpr (by omega)) | |
| lemma prefixMaximum_le {S : ℕ → ℤ} {n : ℕ} {a : ℤ} | |
| (h : ∀ k, k≤n → S k≤a) : prefixMaximum S n≤a := | |
| Finset.sup'_le _ _ (fun k hk => h k (by simpa only [Finset.mem_range,Nat.lt_succ_iff] using hk)) | |
| lemma prefixMaximum_mono (S : ℕ → ℤ) {m n : ℕ} (h : m≤n) : | |
| prefixMaximum S m≤prefixMaximum S n := | |
| prefixMaximum_le fun _ hk => le_prefixMaximum S (hk.trans h) | |
| lemma prefixMaximum_attained (S : ℕ → ℤ) (n : ℕ) : | |
| ∃ k≤n, prefixMaximum S n = S k := by | |
| obtain ⟨k,hk,he⟩ := Finset.exists_mem_eq_sup' (s := Finset.range (n+1)) Finset.nonempty_range_add_one S | |
| exact ⟨k,by simpa only [Finset.mem_range,Nat.lt_succ_iff] using hk,he⟩ | |
| lemma CriticalEvenOffspring.integerSum_scaled (p : CriticalEvenOffspring) (x : ℕ → ℕ) (n : ℕ) : | |
| (integerSum x n:ℝ)=p.sigma*(∑ j∈Finset.range n,p.streamStep j x) := by | |
| simp only [integerSum,Int.cast_sum,Int.cast_sub,Int.cast_natCast,Int.cast_one, | |
| streamStep,standardStep,← Finset.sum_div] | |
| field_simp [p.sigma_pos.ne'] | |
| lemma CriticalEvenOffspring.prefix_maximum_bound (p : CriticalEvenOffspring) | |
| {N : ℕ} (hN : 0<N) {R : ℝ} (hR : 0<R) : | |
| p.streamLaw.real {x | p.sigma*R*Real.sqrt N ≤ (prefixMaximum (integerSum x) N:ℝ)} ≤ 1/R^2 := by | |
| have hb := independent_sum_scaled_maximal_bound p.streamStep | |
| (fun _ => by unfold streamStep; fun_prop) p.streamStep_memLp | |
| p.streamStep_indep p.streamStep_integral (fun k => (p.streamStep_integral_sq k).le) hN hR | |
| apply (measureReal_mono ?_).trans hb | |
| intro x hx | |
| obtain ⟨k,hk,he⟩ := prefixMaximum_attained (integerSum x) N | |
| refine ⟨k,hk,?_⟩ | |
| change p.sigma*R*Real.sqrt N ≤ (prefixMaximum (integerSum x) N:ℝ) at hx | |
| rw [he,p.integerSum_scaled] at hx | |
| have hh : R*Real.sqrt N ≤ ∑ j∈Finset.range k,p.streamStep j x := by | |
| apply (mul_le_mul_iff_right₀ p.sigma_pos).mp | |
| simpa only [mul_assoc] using hx | |
| exact hh.trans (le_abs_self _) | |
| lemma CriticalEvenOffspring.prefix_record_error_bound (p : CriticalEvenOffspring) | |
| {N : ℕ} (hN : 0<N) {R ε : ℝ} (hR : 0<R) (hε : 0≤ε) (A : ℕ) : | |
| p.streamLaw.real {x | ∃ k≤N, | |
| ε*(p.sigma*R*Real.sqrt N)+A < | |
| |(prefixMaximum (integerSum x) k:ℝ)-(p.variance/2)*(weakRecords (integerSum x) k).card|} ≤ | |
| (p.streamLaw {x | ∃ r, ε*renewalLevel r x+A < |renewalLevel r x-(p.variance/2)*r|}).toReal + 1/R^2 := by | |
| let E : Set (ℕ → ℕ) := {x | ∃ r, ε*renewalLevel r x+A < |renewalLevel r x-(p.variance/2)*r|} | |
| let F : Set (ℕ → ℕ) := {x | p.sigma*R*Real.sqrt N ≤ (prefixMaximum (integerSum x) N:ℝ)} | |
| have hs : ∀ᵐ x ∂p.streamLaw, (∃ k≤N, ε*(p.sigma*R*Real.sqrt N)+A < | |
| |(prefixMaximum (integerSum x) k:ℝ)-(p.variance/2)*(weakRecords (integerSum x) k).card|) → | |
| x∈E∪F := by | |
| filter_upwards [p.ae_all_ladders] with x hx | |
| rintro ⟨k,hk,hbad⟩ | |
| by_cases he : x∈E | |
| · exact Or.inl he | |
| apply Or.inr | |
| by_contra hf | |
| have hrem : ∀ r, |renewalLevel r x-(p.variance/2)*r| ≤ ε*renewalLevel r x+A := by | |
| simpa only [E,Set.mem_ofPred_eq,not_exists,not_lt] using he | |
| have hmax : (prefixMaximum (integerSum x) k:ℝ) ≤ p.sigma*R*Real.sqrt N := by | |
| exact (Int.cast_le.mpr (prefixMaximum_mono _ hk)).trans (le_of_lt (not_le.mp hf)) | |
| exact (not_lt_of_ge ((prefix_record_remainder hx _ _ _ hrem k).trans | |
| (add_le_add (mul_le_mul_of_nonneg_left hmax hε) le_rfl))) hbad | |
| calc | |
| _ ≤ p.streamLaw.real (E∪F) := ENNReal.toReal_mono (measure_ne_top _ _) (measure_mono_ae hs) | |
| _ ≤ p.streamLaw.real E+p.streamLaw.real F := measureReal_union_le _ _ | |
| _ ≤ _ := add_le_add le_rfl (p.prefix_maximum_bound hN hR) | |
| /-- Finite variance suffices for the uniform renewal-record approximation on | |
| an unconditioned iid prefix; no upper exponential moment is used. -/ | |
| theorem CriticalEvenOffspring.iid_prefix_record_error (p : CriticalEvenOffspring) | |
| {δ : ℝ} (hδ : 0<δ) : | |
| Tendsto (fun N : ℕ => p.streamLaw.real {x | ∃ k≤N, | |
| δ*Real.sqrt N < | |
| |(prefixMaximum (integerSum x) k:ℝ)-(p.variance/2)*(weakRecords (integerSum x) k).card|}) | |
| atTop (𝓝 0) := by | |
| apply tendsto_order.2 | |
| constructor | |
| · intro a ha | |
| exact Eventually.of_forall fun _ => ha.trans_le measureReal_nonneg | |
| · intro η hη | |
| let R := Real.sqrt (4/η) | |
| have hR : 0<R := Real.sqrt_pos.mpr (by positivity) | |
| have hR2 : R^2=4/η := Real.sq_sqrt (by positivity) | |
| have htail : 1/R^2=η/4 := by rw [hR2]; field_simp | |
| have hσ := p.sigma_pos | |
| let ε := δ/(2*p.sigma*R) | |
| have hε : 0<ε := div_pos hδ (by positivity) | |
| have heq : ε*(p.sigma*R)=δ/2 := by dsimp [ε]; field_simp [hR.ne',hσ.ne'] | |
| have hlim : Tendsto (fun A : ℕ => (p.streamLaw {x | ∃ r, | |
| ε*renewalLevel r x+A < |renewalLevel r x-(p.variance/2)*r|}).toReal) | |
| atTop (𝓝 0) := by | |
| simpa only [ENNReal.toReal_zero,Function.comp_def] using | |
| (ENNReal.tendsto_toReal (by simp : (0:ℝ≥0∞)≠∞)).comp (p.renewal_remainder_probability hε) | |
| obtain ⟨A,hA⟩ := (hlim.eventually (eventually_lt_nhds (show (0:ℝ)<η/2 from half_pos hη))).exists | |
| have hscale : Tendsto (fun N : ℕ => δ/2*Real.sqrt N) atTop atTop := | |
| (Real.tendsto_sqrt_atTop.comp tendsto_natCast_atTop_atTop).const_mul_atTop (half_pos hδ) | |
| filter_upwards [hscale.eventually_ge_atTop (A:ℝ),eventually_gt_atTop 0] with N hN hNpos | |
| have hbound := p.prefix_record_error_bound hNpos hR hε.le A | |
| have hs : ε*(p.sigma*R*Real.sqrt N)+A ≤ δ*Real.sqrt N := by | |
| rw [← mul_assoc,heq] | |
| linarith | |
| have hmono : p.streamLaw.real {x | ∃ k≤N, | |
| δ*Real.sqrt N < | |
| |(prefixMaximum (integerSum x) k:ℝ)-(p.variance/2)*(weakRecords (integerSum x) k).card|} ≤ | |
| p.streamLaw.real {x | ∃ k≤N, ε*(p.sigma*R*Real.sqrt N)+A < | |
| |(prefixMaximum (integerSum x) k:ℝ)-(p.variance/2)*(weakRecords (integerSum x) k).card|} := by | |
| refine measureReal_mono ?_ (measure_ne_top _ _) | |
| rintro x ⟨k,hk,hx⟩ | |
| exact ⟨k,hk,hs.trans_lt hx⟩ | |
| apply (hmono.trans hbound).trans_lt | |
| rw [htail] | |
| linarith | |
| end FKCRT.TreeCoding | |
| end | |
| noncomputable section | |
| open Set Filter MeasureTheory ProbabilityTheory | |
| open scoped Topology BigOperators ENNReal NNReal | |
| namespace FKCRT.TreeCoding | |
| lemma map_cond_preimage {Ω Ξ : Type*} [MeasurableSpace Ω] [MeasurableSpace Ξ] | |
| (μ : Measure Ω) {f : Ω → Ξ} (hf : Measurable f) {s : Set Ξ} (hs : MeasurableSet s) : | |
| (cond μ (f ⁻¹' s)).map f = cond (μ.map f) s := by | |
| rw [ProbabilityTheory.cond,ProbabilityTheory.cond,Measure.map_smul _ hf.aemeasurable, | |
| ← Measure.restrict_map hf hs,Measure.map_apply hf hs] | |
| def streamPrefix (N : ℕ) (x : ℕ → ℕ) : Fin N → ℕ := fun i => x i.val | |
| lemma measurable_streamPrefix (N : ℕ) : Measurable (streamPrefix N) := | |
| Measurable.of_eval (fun index => measurable_pi_apply index.val) | |
| lemma totalStep_streamPrefix (N : ℕ) (x : ℕ → ℕ) : | |
| totalStep (streamPrefix N x)=integerSum x N := by | |
| exact Fin.sum_univ_eq_sum_range (fun k => ((x k:ℤ)-1)) N | |
| lemma CriticalEvenOffspring.streamPrefix_hasLaw (p : CriticalEvenOffspring) (N : ℕ) : | |
| HasLaw (streamPrefix N) (p.iidLaw N) p.streamLaw := p.stream_restrict_law N | |
| def CriticalEvenOffspring.streamBridgeLaw (p : CriticalEvenOffspring) (n : ℕ) : | |
| Measure (ℕ → ℕ) := cond p.streamLaw {x | integerSum x (2*n+1)=-1} | |
| lemma CriticalEvenOffspring.streamBridge_restrict (p : CriticalEvenOffspring) (n : ℕ) : | |
| HasLaw (streamPrefix (2*n+1)) (p.iidBridgeLaw n) (p.streamBridgeLaw n) := by | |
| refine ⟨(measurable_streamPrefix _).aemeasurable,?_⟩ | |
| have hh := map_cond_preimage p.streamLaw (measurable_streamPrefix (2*n+1)) | |
| (show MeasurableSet {d : Fin (2*n+1) → ℕ | totalStep d=-1} from by measurability) | |
| simpa only [streamBridgeLaw,iidBridgeLaw,Set.preimage_ofPred_eq,totalStep_streamPrefix, | |
| (p.streamPrefix_hasLaw (2*n+1)).map_eq] using hh | |
| instance (p : CriticalEvenOffspring) (n : ℕ) : IsProbabilityMeasure (p.streamBridgeLaw n) := by | |
| have : IsProbabilityMeasure ((p.streamBridgeLaw n).map (streamPrefix (2*n+1))) := by | |
| rw [(p.streamBridge_restrict n).map_eq] | |
| infer_instance | |
| exact Measure.isProbabilityMeasure_of_map (measurable_streamPrefix (2*n+1)).aemeasurable | |
| def arrayStream {N : ℕ} (d : Fin N → ℕ) : ℕ → ℕ := | |
| fun k => if h:k<N then d ⟨k,h⟩ else 0 | |
| lemma integerSum_arrayStream_prefix (N : ℕ) (x : ℕ → ℕ) {k : ℕ} (hk : k ≤ N) : | |
| integerSum (arrayStream (streamPrefix N x)) k = integerSum x k := by | |
| unfold integerSum | |
| apply Finset.sum_congr rfl | |
| intro i hi | |
| simp only [arrayStream,streamPrefix,dite_eq_left ((Finset.mem_range.mp hi).trans_le hk)] | |
| def recordError (ν : ℝ) (S : ℕ → ℤ) (k : ℕ) : ℝ := | |
| |(prefixMaximum S k:ℝ)-ν*(weakRecords S k).card| | |
| lemma recordError_congr {ν : ℝ} {S T : ℕ → ℤ} {k : ℕ} | |
| (h : ∀ j, j ≤ k → S j=T j) : recordError ν S k=recordError ν T k := by | |
| rw [recordError,recordError,prefixMaximum_congr h,weakRecords_congr_prefix h] | |
| lemma recordError_arrayStream_prefix (N : ℕ) (x : ℕ → ℕ) {k : ℕ} (hk : k ≤ N) (ν : ℝ) : | |
| recordError ν (integerSum (arrayStream (streamPrefix N x))) k = recordError ν (integerSum x) k := | |
| recordError_congr fun _ hj => integerSum_arrayStream_prefix N x (hj.trans hk) | |
| lemma iidSplit_streamPrefix (m r : ℕ) (x : ℕ → ℕ) : | |
| (iidSplit m r (streamPrefix (m+r) x)).1=streamPrefix m x := rfl | |
| lemma CriticalEvenOffspring.prefix_domination_stream (p : CriticalEvenOffspring) | |
| {n J : ℕ} {K : ℝ} (hdom : p.PrefixDominatedFraction (2*n+1) J K) | |
| {m r : ℕ} (hs : m+r=2*n+1) (hfrac : 2*n+1 ≤ J*r) (E : Set (Fin m → ℕ)) : | |
| (p.streamBridgeLaw n).real (streamPrefix m ⁻¹' E) ≤ | |
| K*p.streamLaw.real (streamPrefix m ⁻¹' E) := by | |
| have hmap := (p.streamPrefix_hasLaw m).measurePreserving (measurable_streamPrefix m) | |
| rw [hmap.measureReal_preimage (by measurability)] | |
| have hb := hdom m r hs hfrac E | |
| have heq : (cond (p.iidLaw (m+r)) {d | totalStep d=-1})= | |
| (p.streamBridgeLaw n).map (streamPrefix (m+r)) := by | |
| rw [hs] | |
| exact (p.streamBridge_restrict n).map_eq.symm | |
| rw [heq] at hb | |
| have hm : Measurable (streamPrefix (m+r)) := measurable_streamPrefix _ | |
| rw [map_measureReal_apply hm (by measurability)] at hb | |
| exact hb | |
| lemma CriticalEvenOffspring.prefix_record_domination (p : CriticalEvenOffspring) | |
| {n J : ℕ} {K : ℝ} (hdom : p.PrefixDominatedFraction (2*n+1) J K) | |
| {m r : ℕ} (hs : m+r=2*n+1) (hfrac : 2*n+1 ≤ J*r) (a : ℝ) : | |
| (p.streamBridgeLaw n).real {x | ∃ k ≤ m, a<recordError (p.variance/2) (integerSum x) k} ≤ | |
| K*p.streamLaw.real {x | ∃ k ≤ m, a<recordError (p.variance/2) (integerSum x) k} := by | |
| let E : Set (Fin m → ℕ) := {d | ∃ k ≤ m, a<recordError (p.variance/2) (integerSum (arrayStream d)) k} | |
| have he : streamPrefix m ⁻¹' E={x | ∃ k ≤ m, a<recordError (p.variance/2) (integerSum x) k} := by | |
| ext x | |
| change (∃ k ≤ m, a<recordError (p.variance/2) (integerSum (arrayStream (streamPrefix m x))) k) ↔ _ | |
| constructor <;> rintro ⟨k,hk,he⟩ <;> refine ⟨k,hk,?_⟩ | |
| · rwa [recordError_arrayStream_prefix m x hk] at he | |
| · rwa [recordError_arrayStream_prefix m x hk] | |
| simpa only [he] using p.prefix_domination_stream hdom hs hfrac E | |
| /-- The uniform record approximation survives conditioning on every fixed | |
| proper prefix. The remaining terminal segment is handled separately. -/ | |
| theorem CriticalEvenOffspring.bridge_prefix_record_error (p : CriticalEvenOffspring) | |
| {J : ℕ} (hJ : 0<J) (m r : ℕ → ℕ) | |
| (hs : ∀ n, m n+r n=2*n+1) (hfrac : ∀ᶠ n in atTop, 2*n+1 ≤ J*r n) | |
| {δ : ℝ} (hδ : 0<δ) : | |
| Tendsto (fun n => (p.streamBridgeLaw n).real {x | ∃ k ≤ m n, | |
| δ*Real.sqrt ((2*n+1:ℕ):ℝ)<recordError (p.variance/2) (integerSum x) k}) atTop (𝓝 0) := by | |
| obtain ⟨K,hK,hdom⟩ := p.bridge_prefix_domination_fraction J hJ | |
| have hN : Tendsto (fun n : ℕ => 2*n+1) atTop atTop := by | |
| exact tendsto_atTop_mono (fun n => by dsimp; omega) tendsto_id | |
| have hi := (p.iid_prefix_record_error hδ).comp hN | |
| have hlim := hi.const_mul K | |
| simp only [mul_zero] at hlim | |
| apply squeeze_zero' (Eventually.of_forall fun _ => measureReal_nonneg) ?_ hlim | |
| filter_upwards [hdom,hfrac] with n hn hf | |
| have hb := p.prefix_record_domination hn (hs n) hf (δ*Real.sqrt ((2*n+1:ℕ):ℝ)) | |
| apply hb.trans | |
| apply mul_le_mul_of_nonneg_left _ hK.le | |
| refine measureReal_mono ?_ (measure_ne_top _ _) | |
| rintro x ⟨k,hk,hx⟩ | |
| exact ⟨k,by dsimp; have hh := hs n; omega,hx⟩ | |
| lemma CriticalEvenOffspring.streamBridge_reverse (p : CriticalEvenOffspring) (n : ℕ) : | |
| MeasurePreserving (reverseFirst (2*n+1)) (p.streamBridgeLaw n) (p.streamBridgeLaw n) := by | |
| apply measurePreserving_cond (reverseFirst_preserving p (2*n+1)) | |
| (measurableSet_eq_fun (measurable_integerSum _) measurable_const) | |
| ext x | |
| simp only [Set.mem_preimage,Set.mem_ofPred_eq,integerSum_reverseFirst x (2*n+1) (2*n+1) le_rfl, | |
| Nat.sub_self,integerSum_zero,sub_zero] | |
| lemma CriticalEvenOffspring.integer_maximal_bound (p : CriticalEvenOffspring) | |
| (r : ℕ) {a : ℝ} (ha : 0<a) : | |
| p.streamLaw.real {x | ∃ k ≤ r, a ≤ |(integerSum x k:ℝ)|} ≤ (r:ℝ)*p.sigma^2/a^2 := by | |
| have hb := independent_sum_maximal_bound p.streamStep | |
| (fun _ => by unfold streamStep; fun_prop) p.streamStep_memLp p.streamStep_indep | |
| p.streamStep_integral r (div_pos ha p.sigma_pos) | |
| simp only [p.streamStep_integral_sq,Finset.sum_const,Finset.card_range,nsmul_eq_mul,mul_one] at hb | |
| have hs : {x | ∃ k ≤ r, a ≤ |(integerSum x k:ℝ)|} ⊆ | |
| {x | ∃ k ≤ r, a/p.sigma ≤ |∑ j∈Finset.range k,p.streamStep j x|} := by | |
| rintro x ⟨k,hk,hx⟩ | |
| refine ⟨k,hk,?_⟩ | |
| rw [p.integerSum_scaled,abs_mul,abs_of_pos p.sigma_pos] at hx | |
| exact (div_le_iff₀ p.sigma_pos).mpr (by simpa [mul_comm] using hx) | |
| apply ((measureReal_mono hs).trans hb).trans_eq | |
| field_simp | |
| lemma integerSum_prefix_event (r : ℕ) (a : ℝ) : | |
| streamPrefix r ⁻¹' {d | ∃ k ≤ r, a ≤ |(integerSum (arrayStream d) k:ℝ)|}= | |
| {x | ∃ k ≤ r, a ≤ |(integerSum x k:ℝ)|} := by | |
| ext x | |
| change (∃ k ≤ r, a ≤ |(integerSum (arrayStream (streamPrefix r x)) k:ℝ)|) ↔ _ | |
| constructor <;> rintro ⟨k,hk,he⟩ <;> refine ⟨k,hk,?_⟩ | |
| · rwa [integerSum_arrayStream_prefix r x hk] at he | |
| · rwa [integerSum_arrayStream_prefix r x hk] | |
| lemma CriticalEvenOffspring.bridge_initial_maximal_bound (p : CriticalEvenOffspring) | |
| {n : ℕ} {K : ℝ} (hK : 0 ≤ K) (hdom : p.PrefixDominatedFraction (2*n+1) 2 K) | |
| {r : ℕ} (hr : 2*r ≤ 2*n+1) {a : ℝ} (ha : 0<a) : | |
| (p.streamBridgeLaw n).real {x | ∃ k ≤ r, a ≤ |(integerSum x k:ℝ)|} ≤ K*((r:ℝ)*p.sigma^2/a^2) := by | |
| let E : Set (Fin r → ℕ) := {d | ∃ k ≤ r, a ≤ |(integerSum (arrayStream d) k:ℝ)|} | |
| have hh := p.prefix_domination_stream hdom (m := r) (r := 2*n+1-r) (by omega) (by omega) E | |
| rw [integerSum_prefix_event] at hh | |
| exact hh.trans (mul_le_mul_of_nonneg_left (p.integer_maximal_bound r ha) hK) | |
| end FKCRT.TreeCoding | |
| end | |
| noncomputable section | |
| open Set Filter MeasureTheory ProbabilityTheory | |
| open scoped Topology BigOperators ENNReal NNReal | |
| namespace FKCRT.TreeCoding | |
| lemma weakRecords_mono (S : ℕ → ℤ) {m n : ℕ} (h : m ≤ n) : | |
| weakRecords S m ⊆ weakRecords S n := by | |
| intro k hk | |
| obtain ⟨hk0,hkm,hrec⟩ := (mem_weakRecords S m k).mp hk | |
| exact (mem_weakRecords S n k).mpr ⟨hk0,hkm.trans h,hrec⟩ | |
| /-- New absolute weak records are a subset of records in the translated suffix. -/ | |
| lemma weakRecords_suffix_card_le (S : ℕ → ℤ) {m n : ℕ} (h : m ≤ n) : | |
| (weakRecords S n).card ≤ (weakRecords S m).card+ | |
| (weakRecords (fun k => S (m+k)-S m) (n-m)).card := by | |
| classical | |
| have hs : weakRecords S n ⊆ weakRecords S m ∪ | |
| (weakRecords (fun k => S (m+k)-S m) (n-m)).image (fun k => m+k) := by | |
| intro k hk | |
| obtain ⟨hk0,hkn,hrec⟩ := (mem_weakRecords S n k).mp hk | |
| by_cases hkm : k ≤ m | |
| · exact Finset.mem_union_left _ ((mem_weakRecords S m k).mpr ⟨hk0,hkm,hrec⟩) | |
| apply Finset.mem_union_right | |
| refine Finset.mem_image.mpr ⟨k-m,?_,by omega⟩ | |
| apply (mem_weakRecords ..).mpr | |
| refine ⟨by omega,by omega,?_⟩ | |
| intro j hj | |
| have hh := hrec (m+j) (by omega) | |
| have he : m+(k-m)=k := by omega | |
| rw [he] | |
| omega | |
| exact (Finset.card_le_card hs).trans ((Finset.card_union_le _ _).trans | |
| (add_le_add le_rfl (Finset.card_image_le))) | |
| lemma weakRecords_suffix_of_ladder_level (x : ℕ → ℕ) {m n h : ℕ} (hmn : m ≤ n) | |
| (hx : HasAllLadders (streamShift m x)) {a : ℝ} | |
| (hla : a ≤ renewalLevel h (streamShift m x)) | |
| (hosc : ∀ k, m ≤ k → k ≤ n → (integerSum x k:ℝ)-(integerSum x m:ℝ)<a) : | |
| (weakRecords (integerSum x) n).card ≤ (weakRecords (integerSum x) m).card+h := by | |
| have hb := weakRecords_suffix_card_le (integerSum x) hmn | |
| have he : (fun k => integerSum x (m+k)-integerSum x m)=integerSum (streamShift m x) := by | |
| funext k | |
| exact (integerSum_shift x m k).symm | |
| rw [he,(ladderTime_enumeration hx).card_records] at hb | |
| have hcount : renewalCount (ladderTime (streamShift m x)) (n-m) ≤ h := by | |
| by_contra hn | |
| have htime : ladderTime (streamShift m x) h ≤ n-m := | |
| (le_renewalCount_iff (ladderTime_enumeration hx).strictMono | |
| (ladderTime_enumeration hx).zero h (n-m)).mp (by omega) | |
| have hosc' := hosc (m+ladderTime (streamShift m x) h) (by omega) (by omega) | |
| rw [← ladderTime_level_real hx] at hla | |
| rw [integerSum_shift] at hla | |
| push_cast at hla | |
| linarith | |
| omega | |
| lemma prefixMaximum_tail_le {S : ℕ → ℤ} {m n : ℕ} {a : ℝ} | |
| (ha : 0 ≤ a) (hosc : ∀ k, m ≤ k → k ≤ n → (S k:ℝ)-(S m:ℝ) ≤ a) : | |
| (prefixMaximum S n:ℝ) ≤ (prefixMaximum S m:ℝ)+a := by | |
| obtain ⟨k,hk,he⟩ := prefixMaximum_attained S n | |
| rw [he] | |
| by_cases hkm : k ≤ m | |
| · exact (Int.cast_le.mpr (le_prefixMaximum S hkm)).trans (le_add_of_nonneg_right ha) | |
| · have hh := hosc k (by omega) hk | |
| have hsup : (S m:ℝ) ≤ prefixMaximum S m := Int.cast_le.mpr (le_prefixMaximum S le_rfl) | |
| linarith | |
| /-- Uniform numerical estimate used to pass from a truncated bridge to its | |
| full record count. It needs only attained maxima and a one-sided suffix bound. -/ | |
| lemma prefix_record_error_tail {x : ℕ → ℕ} {m n h : ℕ} (hmn : m ≤ n) | |
| (hx : HasAllLadders (streamShift m x)) {ν a : ℝ} (hν : 0 ≤ ν) (ha : 0 ≤ a) | |
| (hla : a ≤ renewalLevel h (streamShift m x)) | |
| (hosc : ∀ k, m ≤ k → k ≤ n → (integerSum x k:ℝ)-(integerSum x m:ℝ)<a) : | |
| |(prefixMaximum (integerSum x) n:ℝ)-ν*(weakRecords (integerSum x) n).card| ≤ | |
| |(prefixMaximum (integerSum x) m:ℝ)-ν*(weakRecords (integerSum x) m).card|+a+ν*h := by | |
| have hcount := weakRecords_suffix_of_ladder_level x hmn hx hla hosc | |
| have hcount' : ((weakRecords (integerSum x) n).card:ℝ) ≤ | |
| ((weakRecords (integerSum x) m).card:ℝ)+h := by exact_mod_cast hcount | |
| have hcountlo : ((weakRecords (integerSum x) m).card:ℝ) ≤ | |
| ((weakRecords (integerSum x) n).card:ℝ) := by | |
| exact_mod_cast Finset.card_le_card (weakRecords_mono (integerSum x) hmn) | |
| have hmax := prefixMaximum_tail_le ha (fun k hk hn => (hosc k hk hn).le) | |
| have hmaxlo : (prefixMaximum (integerSum x) m:ℝ) ≤ prefixMaximum (integerSum x) n := | |
| Int.cast_le.mpr (prefixMaximum_mono _ hmn) | |
| apply abs_le.mpr | |
| have hh := abs_le.mp (le_refl |(prefixMaximum (integerSum x) m:ℝ)-ν*(weakRecords (integerSum x) m).card|) | |
| constructor <;> nlinarith | |
| end FKCRT.TreeCoding | |
| end | |
| noncomputable section | |
| open Set Filter MeasureTheory ProbabilityTheory | |
| open scoped Topology BigOperators ENNReal NNReal | |
| namespace FKCRT.TreeCoding | |
| lemma cond_real_le {Ω : Type*} [MeasurableSpace Ω] (μ : Measure Ω) [IsFiniteMeasure μ] | |
| {E : Set Ω} (hE : MeasurableSet E) (B : Set Ω) : | |
| (cond μ E).real B ≤ μ.real B / μ.real E := by | |
| rw [measureReal_def,cond_apply hE,ENNReal.toReal_mul,ENNReal.toReal_inv] | |
| change (μ.real E)⁻¹ * μ.real (E ∩ B) ≤ _ | |
| rw [div_eq_mul_inv,mul_comm (μ.real B)] | |
| exact mul_le_mul_of_nonneg_left (measureReal_mono Set.inter_subset_right) (inv_nonneg.mpr measureReal_nonneg) | |
| lemma CriticalEvenOffspring.stream_endpoint_probability (p : CriticalEvenOffspring) (N : ℕ) : | |
| p.streamLaw.real {x | integerSum x N = -1} = | |
| (p.iidLaw N).real {d | totalStep d = -1} := by | |
| have hh := (p.streamPrefix_hasLaw N).measurePreserving (measurable_streamPrefix N) | |
| simpa only [Set.preimage_ofPred_eq,totalStep_streamPrefix] using | |
| hh.measureReal_preimage (show MeasurableSet {d : Fin N → ℕ | totalStep d = -1} from by measurability).nullMeasurableSet | |
| lemma CriticalEvenOffspring.stream_endpoint_limit (p : CriticalEvenOffspring) : | |
| Tendsto (fun n => Real.sqrt ((2*n+1:ℕ):ℝ)* | |
| p.streamLaw.real {x | integerSum x (2*n+1) = -1}) atTop (𝓝 p.bridgeConstant) := by | |
| simpa only [p.stream_endpoint_probability] using p.iid_endpoint_limit | |
| lemma CriticalEvenOffspring.streamBridge_shift_ladders (p : CriticalEvenOffspring) (n m : ℕ) : | |
| ∀ᵐ x ∂p.streamBridgeLaw n, HasAllLadders (streamShift m x) := | |
| cond_absolutelyContinuous.ae_le ((p.streamShift_preserving m).quasiMeasurePreserving.ae p.ae_all_ladders) | |
| lemma CriticalEvenOffspring.bridge_shift_ladder_bound (p : CriticalEvenOffspring) | |
| {c ρ : ℝ} (hρ : 0 ≤ ρ) | |
| (hb : ∀ h, p.streamLaw {x | renewalLevel h x ≤ c*h} ≤ ENNReal.ofReal (ρ^h)) | |
| (n m h : ℕ) : | |
| (p.streamBridgeLaw n).real {x | renewalLevel h (streamShift m x) ≤ c*h} ≤ | |
| ρ^h / p.streamLaw.real {x | integerSum x (2*n+1) = -1} := by | |
| have hr : MeasurableSet {x | renewalLevel h x ≤ c*h} := | |
| measurableSet_le (measurable_renewalLevel h) measurable_const | |
| have ht := (p.streamShift_preserving m).measureReal_preimage hr.nullMeasurableSet | |
| have hreal : p.streamLaw.real {x | renewalLevel h x ≤ c*h} ≤ ρ^h := by | |
| exact (ENNReal.toReal_mono (by finiteness) (hb h)).trans_eq (ENNReal.toReal_ofReal (pow_nonneg hρ _)) | |
| apply (cond_real_le p.streamLaw (measurableSet_eq_fun (measurable_integerSum _) measurable_const) _).trans | |
| exact div_le_div_of_nonneg_right (ht.le.trans hreal) measureReal_nonneg | |
| lemma CriticalEvenOffspring.bridge_terminal_maximal_bound (p : CriticalEvenOffspring) | |
| {n : ℕ} {K : ℝ} (hK : 0 ≤ K) (hdom : p.PrefixDominatedFraction (2*n+1) 2 K) | |
| {r : ℕ} (hr : 2*r ≤ 2*n+1) {a : ℝ} (ha : 0<a) : | |
| (p.streamBridgeLaw n).real {x | ∃ k, 2*n+1-r ≤ k ∧ k ≤ 2*n+1 ∧ | |
| a ≤ (integerSum x k:ℝ)-(integerSum x (2*n+1-r):ℝ)} ≤ K*((r:ℝ)*p.sigma^2/(a/2)^2) := by | |
| let E : Set (ℕ → ℕ) := {x | ∃ k ≤ r, a/2 ≤ |(integerSum x k:ℝ)|} | |
| have hsub : {x | ∃ k, 2*n+1-r ≤ k ∧ k ≤ 2*n+1 ∧ | |
| a ≤ (integerSum x k:ℝ)-(integerSum x (2*n+1-r):ℝ)} ⊆ | |
| reverseFirst (2*n+1) ⁻¹' E := by | |
| rintro x ⟨k,hkm,hkn,hx⟩ | |
| by_contra hn | |
| have hn' : ∀ j ≤ r, |(integerSum (reverseFirst (2*n+1) x) j:ℝ)| < a/2 := by | |
| simpa only [Set.mem_preimage,E,Set.mem_ofPred_eq,not_exists,not_and,not_le] using hn | |
| have h1 := hn' r le_rfl | |
| have h2 := hn' (2*n+1-k) (by omega) | |
| rw [integerSum_reverseFirst x (2*n+1) r (by omega)] at h1 | |
| rw [integerSum_reverseFirst x (2*n+1) (2*n+1-k) (by omega),Nat.sub_sub_self hkn] at h2 | |
| push_cast at h1 h2 | |
| have h1' := (abs_lt.mp h1).2 | |
| have h2' := (abs_lt.mp h2).1 | |
| linarith | |
| have hE : MeasurableSet E := by | |
| simp only [E,Set.ofPred_exists] | |
| exact MeasurableSet.iUnion fun k => (MeasurableSet.const (k ≤ r)).inter | |
| (measurableSet_le measurable_const ((measurable_of_countable (fun z : ℤ => (z:ℝ))).comp (measurable_integerSum k)).abs) | |
| have hh := (p.streamBridge_reverse n).measureReal_preimage hE.nullMeasurableSet | |
| exact (measureReal_mono hsub).trans (hh.le.trans (p.bridge_initial_maximal_bound hK hdom hr (half_pos ha))) | |
| end FKCRT.TreeCoding | |
| end | |
| noncomputable section | |
| open Set Filter MeasureTheory ProbabilityTheory | |
| open scoped Topology BigOperators ENNReal NNReal | |
| namespace FKCRT.TreeCoding | |
| lemma tendsto_natCeil_comp_atTop {s : ℕ → ℝ} (hs : Tendsto s atTop atTop) : | |
| Tendsto (fun n => ⌈s n⌉₊) atTop atTop := by | |
| refine tendsto_atTop.2 fun b => ?_ | |
| filter_upwards [hs.eventually (eventually_ge_atTop (b:ℝ))] with n hn | |
| exact_mod_cast hn.trans (Nat.le_ceil (s n)) | |
| lemma polynomial_geometric_ceil {s : ℕ → ℝ} (hs : Tendsto s atTop atTop) | |
| (hs0 : ∀ n, 0 ≤ s n) {ε ρ : ℝ} (hε : 0<ε) (hρ : 0 ≤ ρ) (hρ1 : ρ<1) (k : ℕ) : | |
| Tendsto (fun n => (s n)^k*ρ^⌈ε*s n⌉₊) atTop (𝓝 0) := by | |
| have hh : Tendsto (fun n => ⌈ε*s n⌉₊) atTop atTop := | |
| tendsto_natCeil_comp_atTop (hs.const_mul_atTop hε) | |
| have ht := ((tendsto_pow_const_mul_const_pow_of_lt_one k hρ hρ1).comp hh).div_const (ε^k) | |
| simp only [zero_div] at ht | |
| apply squeeze_zero (fun n => mul_nonneg (pow_nonneg (hs0 n) _) (pow_nonneg hρ _)) ?_ ht | |
| intro n | |
| have hr : s n ≤ (⌈ε*s n⌉₊:ℝ)/ε := (le_div_iff₀ hε).mpr (by simpa [mul_comm] using Nat.le_ceil (ε*s n)) | |
| calc | |
| (s n)^k*ρ^⌈ε*s n⌉₊ ≤ ((⌈ε*s n⌉₊:ℝ)/ε)^k*ρ^⌈ε*s n⌉₊ := by gcongr; exact hs0 n | |
| _ = _ := by dsimp; rw [div_pow]; ring | |
| lemma odd_size_tendsto : Tendsto (fun n : ℕ => 2*n+1) atTop atTop := | |
| tendsto_atTop_mono (fun n => by dsimp; omega) tendsto_id | |
| lemma odd_sqrt_tendsto : Tendsto (fun n : ℕ => Real.sqrt ((2*n+1:ℕ):ℝ)) atTop atTop := | |
| Real.tendsto_sqrt_atTop.comp (tendsto_natCast_atTop_atTop.comp odd_size_tendsto) | |
| lemma CriticalEvenOffspring.bridge_geometric_vanish (p : CriticalEvenOffspring) | |
| {ε ρ : ℝ} (hε : 0<ε) (hρ : 0 ≤ ρ) (hρ1 : ρ<1) : | |
| Tendsto (fun n => ρ^⌈ε*Real.sqrt ((2*n+1:ℕ):ℝ)⌉₊ / | |
| p.streamLaw.real {x | integerSum x (2*n+1) = -1}) atTop (𝓝 0) := by | |
| have ht := (polynomial_geometric_ceil odd_sqrt_tendsto (fun _ => Real.sqrt_nonneg _) hε hρ hρ1 1).div | |
| p.stream_endpoint_limit p.bridgeConstant_pos.ne' | |
| simp only [zero_div,pow_one] at ht | |
| convert ht using 1 | |
| funext n | |
| exact (mul_div_mul_left _ _ (Real.sqrt_pos.mpr (by positivity : (0:ℝ)<((2*n+1:ℕ):ℝ))).ne').symm | |
| end FKCRT.TreeCoding | |
| end | |
| noncomputable section | |
| open Set Filter MeasureTheory ProbabilityTheory | |
| open scoped Topology BigOperators ENNReal NNReal | |
| namespace FKCRT.TreeCoding | |
| lemma CriticalEvenOffspring.bridge_record_tail_bound (p : CriticalEvenOffspring) | |
| {n m r h : ℕ} (hs : m+r=2*n+1) {t a : ℝ} (ha : 0 ≤ a) : | |
| (p.streamBridgeLaw n).real {x | t+a+(p.variance/2)*h<recordError (p.variance/2) (integerSum x) (2*n+1)} ≤ | |
| (p.streamBridgeLaw n).real {x | t<recordError (p.variance/2) (integerSum x) m} + | |
| (p.streamBridgeLaw n).real {x | renewalLevel h (streamShift m x) ≤ a} + | |
| (p.streamBridgeLaw n).real {x | ∃ k, m ≤ k ∧ k ≤ 2*n+1 ∧ | |
| a ≤ (integerSum x k:ℝ)-(integerSum x m:ℝ)} := by | |
| let A : Set (ℕ → ℕ) := {x | t<recordError (p.variance/2) (integerSum x) m} | |
| let B : Set (ℕ → ℕ) := {x | renewalLevel h (streamShift m x) ≤ a} | |
| let C : Set (ℕ → ℕ) := {x | ∃ k, m ≤ k ∧ k ≤ 2*n+1 ∧ a ≤ (integerSum x k:ℝ)-(integerSum x m:ℝ)} | |
| have hsub : ∀ᵐ x ∂p.streamBridgeLaw n, t+a+(p.variance/2)*h<recordError (p.variance/2) (integerSum x) (2*n+1) → | |
| x ∈ (A ∪ B) ∪ C := by | |
| filter_upwards [p.streamBridge_shift_ladders n m] with x hx | |
| intro hb | |
| by_contra hn | |
| have hn' : ¬x∈A ∧ ¬x∈B ∧ ¬x∈C := by simpa only [Set.mem_union,not_or,and_assoc] using hn | |
| have hA : recordError (p.variance/2) (integerSum x) m ≤ t := le_of_not_gt hn'.1 | |
| have hB : a < renewalLevel h (streamShift m x) := lt_of_not_ge hn'.2.1 | |
| have hC : ∀ k, m ≤ k → k ≤ 2*n+1 → (integerSum x k:ℝ)-(integerSum x m:ℝ)<a := by | |
| simpa only [C,Set.mem_ofPred_eq,not_exists,not_and,not_le] using hn'.2.2 | |
| have hh := prefix_record_error_tail (x := x) (h := h) (by omega : m ≤ 2*n+1) | |
| hx (half_pos p.variance_pos).le ha hB.le hC | |
| change recordError _ _ _ ≤ recordError _ _ _+a+(p.variance/2)*h at hh | |
| exact (not_lt_of_ge (hh.trans (by linarith))) hb | |
| have hb := ENNReal.toReal_mono (measure_ne_top _ _) (measure_mono_ae hsub) | |
| exact hb.trans ((measureReal_union_le (A ∪ B) C).trans | |
| (add_le_add (measureReal_union_le A B) le_rfl)) | |
| lemma terminal_ratio_bound {N r J : ℕ} (hN : 0<N) (hJ : 0<J) (hr : J*r ≤ N) | |
| {c ε K σ : ℝ} (hc : 0<c) (hε : 0<ε) (hK : 0 ≤ K) : | |
| K*((r:ℝ)*σ^2/(c*⌈ε*Real.sqrt (N:ℝ)⌉₊/2)^2) ≤ | |
| 4*K*σ^2/(c^2*ε^2*(J:ℝ)) := by | |
| have hs : 0<Real.sqrt (N:ℝ) := Real.sqrt_pos.mpr (by exact_mod_cast hN) | |
| have hN' : (0:ℝ)<N := by exact_mod_cast hN | |
| have hJ' : (0:ℝ)<J := by exact_mod_cast hJ | |
| have hceil := Nat.le_ceil (ε*Real.sqrt (N:ℝ)) | |
| have hden : 0<c*ε*Real.sqrt (N:ℝ)/2 := by positivity | |
| have hdiv : (r:ℝ)/(N:ℝ) ≤ 1/(J:ℝ) := by | |
| rw [div_le_div_iff₀ hN' hJ'] | |
| simpa [mul_comm] using (show (J:ℝ)*r ≤ N by exact_mod_cast hr) | |
| calc | |
| K*((r:ℝ)*σ^2/(c*⌈ε*Real.sqrt (N:ℝ)⌉₊/2)^2) ≤ | |
| K*((r:ℝ)*σ^2/(c*ε*Real.sqrt (N:ℝ)/2)^2) := by | |
| apply mul_le_mul_of_nonneg_left _ hK | |
| apply div_le_div_of_nonneg_left (by positivity) (sq_pos_of_pos hden) | |
| have hbase : c*ε*Real.sqrt (N:ℝ)/2 ≤ c*⌈ε*Real.sqrt (N:ℝ)⌉₊/2 := by | |
| nlinarith [mul_le_mul_of_nonneg_left hceil hc.le] | |
| exact pow_le_pow_left₀ hden.le hbase 2 | |
| _ = (4*K*σ^2/(c^2*ε^2))*((r:ℝ)/(N:ℝ)) := by | |
| rw [div_pow,mul_pow,mul_pow,Real.sq_sqrt hN'.le] | |
| ring | |
| _ ≤ (4*K*σ^2/(c^2*ε^2))*(1/(J:ℝ)) := | |
| mul_le_mul_of_nonneg_left hdiv (by positivity) | |
| _ = _ := by ring | |
| lemma division_prefix_properties {N J : ℕ} (hJ : 2 ≤ J) (hN : J ≤ N) : | |
| (N-N/J)+N/J=N ∧ 2*(N/J) ≤ N ∧ N ≤ (2*J)*(N/J) := by | |
| have hJ0 : 0<J := by omega | |
| have hr : 1 ≤ N/J := (Nat.le_div_iff_mul_le hJ0).mpr (by omega) | |
| have hm := Nat.div_mul_le_self N J | |
| have hmod := Nat.mod_lt N hJ0 | |
| have hdecomp := Nat.mod_add_div N J | |
| have h2 := Nat.mul_le_mul_right (N/J) hJ | |
| have hjr := Nat.mul_le_mul_left J hr | |
| have hmul : (2*J)*(N/J)=2*(J*(N/J)) := by ring | |
| rw [mul_comm (N/J) J] at hm | |
| constructor | |
| · exact Nat.sub_add_cancel (Nat.div_le_self N J) | |
| constructor | |
| · exact h2.trans hm | |
| · rw [hmul] | |
| omega | |
| /-- The weak-record approximation for the **whole** conditioned bridge. | |
| The terminal part is controlled by reversal and a second-moment maximal | |
| inequality, not by independence at the random Vervaat cut. -/ | |
| theorem CriticalEvenOffspring.bridge_record_error (p : CriticalEvenOffspring) | |
| {δ : ℝ} (hδ : 0<δ) : | |
| Tendsto (fun n => (p.streamBridgeLaw n).real {x | | |
| δ*Real.sqrt ((2*n+1:ℕ):ℝ)<recordError (p.variance/2) (integerSum x) (2*n+1)}) | |
| atTop (𝓝 0) := by | |
| obtain ⟨K,hK,hdom⟩ := p.bridge_prefix_domination_fraction 2 (by norm_num) | |
| obtain ⟨c,ρ,hc,hρ,hρ1,hbound⟩ := p.renewal_lower_tail | |
| let ν := p.variance/2 | |
| have hν : 0<ν := half_pos p.variance_pos | |
| let ε := δ/(4*(c+ν)) | |
| have hε : 0<ε := div_pos hδ (by positivity) | |
| have heq : (c+ν)*ε=δ/4 := by dsimp [ε]; field_simp | |
| let C := 4*K*p.sigma^2/(c^2*ε^2) | |
| have hC : 0 ≤ C := by positivity | |
| apply tendsto_order.2 | |
| constructor | |
| · intro a ha | |
| exact Eventually.of_forall fun _ => ha.trans_le measureReal_nonneg | |
| intro η hη | |
| have hjlim : Tendsto (fun J : ℕ => C/(J:ℝ)) atTop (𝓝 0) := | |
| tendsto_const_nhds.div_atTop tendsto_natCast_atTop_atTop | |
| obtain ⟨J,hJ,hCJ⟩ := ((eventually_ge_atTop 2).and | |
| (hjlim.eventually (eventually_lt_nhds (show (0:ℝ)<η/3 by positivity)))).exists | |
| have hJ0 : 0<J := by omega | |
| let r : ℕ → ℕ := fun n => (2*n+1)/J | |
| let m : ℕ → ℕ := fun n => 2*n+1-r n | |
| have hs : ∀ n, m n+r n=2*n+1 := fun n => Nat.sub_add_cancel (Nat.div_le_self (2*n+1) J) | |
| have hfrac : ∀ᶠ n in atTop, 2*n+1 ≤ (2*J)*r n := by | |
| filter_upwards [odd_size_tendsto.eventually_ge_atTop J] with n hn | |
| exact (division_prefix_properties hJ hn).2.2 | |
| have hpre := p.bridge_prefix_record_error (by omega : 0<2*J) m r hs hfrac (half_pos hδ) | |
| have hgeo := p.bridge_geometric_vanish hε hρ.le hρ1 | |
| have hlarge : ∀ᶠ n in atTop, c+ν ≤ δ/4*Real.sqrt ((2*n+1:ℕ):ℝ) := | |
| (odd_sqrt_tendsto.const_mul_atTop (by positivity : 0<δ/4)).eventually_ge_atTop (c+ν) | |
| filter_upwards [hdom,odd_size_tendsto.eventually_ge_atTop J,hlarge, | |
| hpre.eventually (eventually_lt_nhds (show (0:ℝ)<η/3 by positivity)), | |
| hgeo.eventually (eventually_lt_nhds (show (0:ℝ)<η/3 by positivity))] with n hn hJn hln hpn hgn | |
| let s := Real.sqrt ((2*n+1:ℕ):ℝ) | |
| let h := ⌈ε*s⌉₊ | |
| have hsp : 0<s := Real.sqrt_pos.mpr (by positivity) | |
| have hhp : (0:ℝ)<h := (mul_pos hε hsp).trans_le (Nat.le_ceil _) | |
| have hsmall : (c+ν)*h ≤ δ/2*s := by | |
| have hh : (h:ℝ) ≤ ε*s+1 := (Nat.ceil_lt_add_one (mul_nonneg hε.le hsp.le)).le | |
| have hh' := mul_le_mul_of_nonneg_left hh (show 0 ≤ c+ν by positivity) | |
| have heq' := congrArg (fun t : ℝ => t*s) heq | |
| dsimp [s] at heq' ⊢ | |
| nlinarith | |
| have hthresh : δ/2*s+c*h+ν*h ≤ δ*s := by nlinarith | |
| have hmono : (p.streamBridgeLaw n).real {x | δ*s<recordError ν (integerSum x) (2*n+1)} ≤ | |
| (p.streamBridgeLaw n).real {x | δ/2*s+c*h+ν*h<recordError ν (integerSum x) (2*n+1)} := by | |
| refine measureReal_mono ?_ (measure_ne_top _ _) | |
| intro x hx | |
| exact hthresh.trans_lt hx | |
| have hb := p.bridge_record_tail_bound (hs n) (h := h) (t := δ/2*s) (mul_nonneg hc.le hhp.le) | |
| have hp : (p.streamBridgeLaw n).real {x | δ/2*s<recordError ν (integerSum x) (m n)} < η/3 := by | |
| apply lt_of_le_of_lt _ hpn | |
| refine measureReal_mono ?_ (measure_ne_top _ _) | |
| intro x hx | |
| exact ⟨m n,le_rfl,hx⟩ | |
| have hg : (p.streamBridgeLaw n).real {x | renewalLevel h (streamShift (m n) x) ≤ c*h} < η/3 := | |
| (p.bridge_shift_ladder_bound hρ.le hbound n (m n) h).trans_lt hgn | |
| have ht : (p.streamBridgeLaw n).real {x | ∃ k, m n ≤ k ∧ k ≤ 2*n+1 ∧ | |
| c*h ≤ (integerSum x k:ℝ)-(integerSum x (m n):ℝ)} ≤ C/(J:ℝ) := by | |
| have hhalf : 2*r n ≤ 2*n+1 := (division_prefix_properties hJ hJn).2.1 | |
| have hh := p.bridge_terminal_maximal_bound hK.le hn hhalf (mul_pos hc hhp) | |
| apply hh.trans | |
| have he := terminal_ratio_bound (by omega : 0<2*n+1) hJ0 | |
| (show J*r n ≤ 2*n+1 by simpa only [r,mul_comm] using Nat.div_mul_le_self (2*n+1) J) | |
| hc hε hK.le (σ := p.sigma) | |
| exact he.trans_eq (by dsimp only [C]; ring) | |
| have hh := (hmono.trans hb).trans (add_le_add (add_le_add hp.le hg.le) ht) | |
| change (p.streamBridgeLaw n).real {x | δ*s<recordError ν (integerSum x) (2*n+1)} < η | |
| linarith | |
| end FKCRT.TreeCoding | |
| end | |
| noncomputable section | |
| open Set Filter MeasureTheory ProbabilityTheory | |
| open scoped Topology BigOperators ENNReal NNReal | |
| namespace FKCRT.TreeCoding | |
| instance (N : ℕ) : MeasurableSpace (Code N) := ⊤ | |
| instance (N : ℕ) : MeasurableSingletonClass (Code N) := ⟨fun _ => trivial⟩ | |
| def CriticalEvenOffspring.codeLaw (p : CriticalEvenOffspring) (n : ℕ) : Measure (Code (2*n+1)) := | |
| (p.iidBridgeLaw n).map (arrayTree n) | |
| instance (p : CriticalEvenOffspring) (n : ℕ) : IsProbabilityMeasure (p.codeLaw n) := | |
| inferInstanceAs (IsProbabilityMeasure ((p.iidBridgeLaw n).map (arrayTree n))) | |
| lemma CriticalEvenOffspring.code_integral (p : CriticalEvenOffspring) (n : ℕ) | |
| (F : Code (2*n+1) → ℝ) : | |
| (∫ d,F d ∂p.codeLaw n)=∑ d : Code (2*n+1), (codeWeight p d/codePartition p (2*n+1))*F d := by | |
| rw [codeLaw,integral_map (measurable_of_countable (arrayTree n)).aemeasurable | |
| (measurable_of_countable F).aestronglyMeasurable] | |
| exact p.arrayTree_expectation n F | |
| lemma integerSum_arrayStream_bridge {N : ℕ} (d : Bridge N) {k : ℕ} (hk : k ≤ N) : | |
| integerSum (arrayStream (bridgeEmbedding N d)) k=walk d.val k := by | |
| unfold integerSum walk | |
| rw [← Fin.sum_univ_eq_sum_range] | |
| symm | |
| rw [← Finset.sum_filter] | |
| apply Finset.sum_bij (fun i hi => (⟨i.val,by | |
| have hh := Finset.mem_filter.mp hi | |
| exact hh.2⟩ : Fin k)) | |
| · intro i hi | |
| exact Finset.mem_univ _ | |
| · intro i hi j hj he | |
| exact Fin.ext (congrArg (fun z : Fin k => z.val) he) | |
| · intro i _ | |
| exact ⟨⟨i.val,i.isLt.trans_le hk⟩,by simp [i.isLt],rfl⟩ | |
| · intro i hi | |
| have hi' : i.val<k := (Finset.mem_filter.mp hi).2 | |
| simp only [arrayStream,dite_eq_left (hi'.trans_le hk),bridgeEmbedding] | |
| rfl | |
| lemma measurable_recordError_integerSum (ν : ℝ) (N : ℕ) : | |
| Measurable (fun x => recordError ν (integerSum x) N) := by | |
| have hh := (measurable_of_countable (fun d : Fin N → ℕ => recordError ν (integerSum (arrayStream d)) N)).comp | |
| (measurable_streamPrefix N) | |
| simpa only [Function.comp_def,recordError_arrayStream_prefix N _ le_rfl] using hh | |
| def badHeightFraction {N : ℕ} (ν a : ℝ) (d : Code N) : ℝ := | |
| (∑ v : Fin N, if a < |(walk d.val v.val:ℝ)-ν*height d.val v.val| then (1:ℝ) else 0)/(N:ℝ) | |
| lemma badHeightFraction_nonneg {N : ℕ} (ν a : ℝ) (d : Code N) : 0 ≤ badHeightFraction ν a d := by | |
| unfold badHeightFraction | |
| positivity | |
| lemma recordError_reverse_array_bridge {N : ℕ} (ν : ℝ) (b : Bridge N) : | |
| recordError ν (reversedPath (integerSum (arrayStream (bridgeEmbedding N b))) N) N = | |
| recordError ν (reversedPath (walk b.val) N) N := by | |
| apply recordError_congr | |
| intro k hk | |
| simp only [reversedPath,integerSum_arrayStream_bridge b le_rfl, | |
| integerSum_arrayStream_bridge b (Nat.sub_le N k)] | |
| lemma recordError_reverse_streamPrefix (ν : ℝ) (N : ℕ) (x : ℕ → ℕ) : | |
| recordError ν (reversedPath (integerSum (arrayStream (streamPrefix N x))) N) N = | |
| recordError ν (integerSum (reverseFirst N x)) N := by | |
| apply recordError_congr | |
| intro k hk | |
| rw [reversedPath,integerSum_arrayStream_prefix N x le_rfl, | |
| integerSum_arrayStream_prefix N x (Nat.sub_le N k),integerSum_reverseFirst x N k hk] | |
| lemma CriticalEvenOffspring.code_average_height_error (p : CriticalEvenOffspring) (n : ℕ) (ν a : ℝ) : | |
| (∫ d,badHeightFraction ν a d ∂p.codeLaw n) = | |
| (p.streamBridgeLaw n).real {x | a<recordError ν (integerSum x) (2*n+1)} := by | |
| classical | |
| let N := 2*n+1 | |
| let F : (Fin N → ℕ) → ℝ := fun d => | |
| if a<recordError ν (reversedPath (integerSum (arrayStream d)) N) N then 1 else 0 | |
| have hsum : (∫ d,badHeightFraction ν a d ∂p.codeLaw n) = ∫ d,F d ∂p.iidBridgeLaw n := by | |
| rw [p.code_integral, CriticalEvenOffspring.iidBridgeLaw, p.bridge_integral_eq] | |
| have hh := uniform_vertex_height_error p n ν a | |
| unfold badHeightFraction | |
| convert hh using 1 | |
| · simp only [Nat.cast_add,Nat.cast_mul,Nat.cast_ofNat,Nat.cast_one] | |
| · apply Finset.sum_congr rfl | |
| intro b _ | |
| dsimp only [F,N] | |
| rw [recordError_reverse_array_bridge] | |
| rfl | |
| rw [hsum] | |
| have hr := (p.streamBridge_restrict n).integral_comp (measurable_of_countable F).aestronglyMeasurable | |
| rw [← hr] | |
| have hF : (fun x => F (streamPrefix N x)) = fun x => | |
| if a<recordError ν (integerSum (reverseFirst N x)) N then (1:ℝ) else 0 := by | |
| funext x | |
| simp only [F,recordError_reverse_streamPrefix] | |
| change (∫ x,F (streamPrefix N x) ∂p.streamBridgeLaw n)=_ | |
| rw [hF] | |
| have hE : MeasurableSet {x | a<recordError ν (integerSum x) N} := | |
| measurableSet_lt measurable_const (measurable_recordError_integerSum ν N) | |
| have hm := (p.streamBridge_reverse n).measureReal_preimage hE.nullMeasurableSet | |
| rw [← hm] | |
| exact integral_indicator_one (hE.preimage (reverseFirst_preserving p N).measurable) | |
| /-- The expected proportion of vertices with macroscopic height/walk error | |
| vanishes. This is an exact consequence of cyclic averaging and the full | |
| conditioned-bridge weak-record theorem. -/ | |
| theorem CriticalEvenOffspring.average_height_error_limit (p : CriticalEvenOffspring) | |
| {δ : ℝ} (hδ : 0<δ) : | |
| Tendsto (fun n => ∫ d,badHeightFraction (p.variance/2) | |
| (δ*Real.sqrt ((2*n+1:ℕ):ℝ)) d ∂p.codeLaw n) atTop (𝓝 0) := by | |
| simpa only [p.code_average_height_error] using p.bridge_record_error hδ | |
| end FKCRT.TreeCoding | |
| end | |
| end OAI | |