openAI-math-dataset / lean /OAI /Probability /FKMaps /HeightBounds.lean
roseking's picture
Add lean source and binary files (part 121)
f61e547 verified
Raw History Blame Contribute Delete
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