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import OAI.MeasureTheory.Falconer.Estimates.ActualDirectBuffer
import OAI.MeasureTheory.Falconer.Estimates.ActualFarBuffer
import OAI.MeasureTheory.Falconer.Estimates.ActualOuterMasks
import OAI.MeasureTheory.Falconer.Model
import OAI.MeasureTheory.Falconer.Recursion.BranchCounts
import OAI.MeasureTheory.Falconer.Recursion.BranchExponent
import OAI.MeasureTheory.Falconer.Recursion.BranchPotential
import OAI.MeasureTheory.Falconer.Recursion.BranchTransitions
import OAI.MeasureTheory.Falconer.Recursion.DirectPolicyWitness
import OAI.MeasureTheory.Falconer.Recursion.InheritedPolicyState
import OAI.MeasureTheory.Falconer.Recursion.InteriorPolicy
import OAI.MeasureTheory.Falconer.Recursion.Ledger
import OAI.MeasureTheory.Falconer.Recursion.PolicyDescriptors
import OAI.MeasureTheory.Falconer.Recursion.Potential
import OAI.MeasureTheory.Falconer.Recursion.SourceBranchDepth
import OAI.MeasureTheory.FalconerCompletion.Recursion.HighDepthGap
namespace OAI
/-! Recursive policies and quantitative depth estimates. -/
open _root_.OAI.PlanarFalconer
section
section
open Set MeasureTheory
open scoped ComplexConjugate RealInnerProductSpace
namespace GraphLiteralSupport
namespace CurrentFalconer.DimensionalPolicy
open PlanarFalconer
def ProfileLipschitzND (A : ℕ → ℝ) (N : ℕ) (L : ℝ) : Prop :=
∀ i ≤ N, ∀ j ≤ N, |A i-A j| ≤ L*|(i:ℝ)-j|/(N:ℝ)
lemma adjusted_profile_lipschitzND (m : ℕ → ℝ) {N : ℕ} {d : ℝ}
(hN : 0 < N) (_hd : 0 ≤ d)
(hinc : ∀ i j, i ≤ j → j ≤ N →
0 ≤ m j-m i ∧ m j-m i ≤ d*((j:ℝ)-i)/(N:ℝ)) :
ProfileLipschitzND (fun n => m n-(d/2)*(n:ℝ)/N) N (d/2) := by
intro i hi j hj
have hNr : 0 < (N:ℝ) := by exact_mod_cast hN
rcases le_total i j with hij | hji
· have hh := hinc i j hij hj
have hdij : (i:ℝ) ≤ j := by exact_mod_cast hij
rw [abs_of_nonpos (sub_nonpos.mpr hdij)]
dsimp only
simp only [div_eq_mul_inv] at hh ⊢
apply abs_le.mpr
constructor <;> nlinarith [hh.1,hh.2]
· have hh := hinc j i hji hi
have hdji : (j:ℝ) ≤ i := by exact_mod_cast hji
rw [abs_of_nonneg (sub_nonneg.mpr hdji)]
dsimp only
simp only [div_eq_mul_inv] at hh ⊢
apply abs_le.mpr
constructor <;> nlinarith [hh.1,hh.2]
lemma potential_le_final_startND {A : ℕ → ℝ} {N a t f Q : ℕ} {L : ℝ}
(hN : 0 < N) (hL : 0 ≤ L) (hA : ProfileLipschitzND A N L)
(hQ : 0 < Q) (hw : a+Q ≤ t) (ht : t ≤ N) (haf : a ≤ f) (hft : f ≤ t) :
potential A a t Q ≤ 2*A f+2*L*(Q:ℝ)/N := by
have hNR : (0:ℝ) < N := Nat.cast_pos.mpr hN
have hb := potential_near_final A hQ hw haf hft (e := L*(Q:ℝ)/N) ?_
· convert hb using 1; ring
intro j _ hjt hjf hfj
have hd : |(j:ℝ)-f| ≤ (Q:ℝ) := by
have hjR : (j:ℝ) ≤ (f:ℝ)+Q := by exact_mod_cast hjf
have hfR : (f:ℝ) ≤ (j:ℝ)+Q := by exact_mod_cast hfj
exact abs_le.mpr ⟨by linarith,by linarith⟩
have hh := (hA j (hjt.trans ht) f (hft.trans ht)).trans
(div_le_div_of_nonneg_right (mul_le_mul_of_nonneg_left hd hL) hNR.le)
have hh' := (le_abs_self (A j-A f)).trans hh
linarith
theorem policy_costs_le_final_startND {A : ℕ → ℝ} {N q n offset : ℕ} {sig L : ℝ}
(b : PolicyBranch A N q offset sig n) (hN : 0 < N) (hq : 0 < q)
(hslack : sig*(N:ℝ) ≤ q) (hL : 0 ≤ L) (hA : ProfileLipschitzND A N L)
(hinit : (b.state 0).start+10*q ≤ (b.state 0).finish) :
∑ j ∈ Finset.range n, branchCost A (b.state j) (b.label j) (b.state (j+1)) ≤
2*A (b.state n).start+20*L*(q:ℝ)/N-
potential A (b.state 0).start (b.state 0).finish (10*q) := by
have hQ : 0 < 10*q := by omega
have hfinal := BranchState.valid_depths (b.valid n le_rfl)
by_cases hw : (b.state n).start+10*q ≤ (b.state n).finish
· have hc := b.costs_le_potential hq hslack hw
have hf := potential_le_final_startND hN hL hA hQ hw hfinal.2 (le_refl _) hfinal.1
norm_num only [Nat.cast_mul,Nat.cast_ofNat] at hf
linear_combination hc+hf
· cases n with
| zero => exact (hw hinit).elim
| succ n =>
have hs := b.step n (by omega)
have hn := hs.nested hq (b.valid n (by omega))
have hp := hs.nonterminal
have hpwide : (b.state n).start+10*q ≤ (b.state n).finish := by omega
have hd := BranchState.valid_depths (b.valid n (by omega))
have hc := (b.initialSegment n (by omega)).costs_le_potential hq hslack hpwide
dsimp only [PolicyBranch.initialSegment] at hc
have hz := hs.short_cost_zero hq (b.valid n (by omega)) hslack (by omega)
have hf := potential_le_final_startND hN hL hA hQ hpwide hd.2 hn.1
(hfinal.1.trans hn.2)
norm_num only [Nat.cast_mul,Nat.cast_ofNat] at hf
rw [Finset.sum_range_succ,hz,add_zero]
linear_combination hc+hf
noncomputable def branchExponentND (A : ℕ → ℝ) (C lam sig eps : ℝ)
(s : BranchState) (label : BranchLabel) (u : BranchState) : ℝ :=
-2*(A u.start-A s.start)+branchCost A s label u+
(if label = .low then 0 else C*(lam+sig))+eps
lemma branch_exponent_sumND (A : ℕ → ℝ) (C lam sig eps : ℝ)
(state : ℕ → BranchState) (label : ℕ → BranchLabel) (n : ℕ) :
(∑ j ∈ Finset.range n, branchExponentND A C lam sig eps
(state j) (label j) (state (j+1))) =
2*A (state 0).start-2*A (state n).start+
(∑ j ∈ Finset.range n, branchCost A (state j) (label j) (state (j+1)))+
(branchNonlowCount label n:ℝ)*(C*(lam+sig))+(n:ℝ)*eps := by
simp only [branchExponentND,Finset.sum_add_distrib]
rw [profile_increments_telescope A (fun j => (state j).start) n,branch_nonlow_loss_sum]
simp [branchNonlowCount,PlanarFalconer.branchNonlowCount,branchCount,PlanarFalconer.branchCount]
theorem source_branch_exponentND {A : ℕ → ℝ} {N n offset : ℕ} {lam sig kap eta L C : ℝ}
(hN : 0 < N) (hlam : 0 ≤ lam) (hsig : 0 < sig) (hkap : 0 < kap) (hkap1 : kap ≤ 1)
(heta : 0 < eta) (hL : 0 ≤ L) (hC : 0 ≤ C)
(hceil : ⌈10*sig*(N:ℝ)⌉₊ < sourcePolicyBlock N kap)
(hslack : sig*(N:ℝ) ≤ sourcePolicyBlock N kap)
(hqratio : (sourcePolicyBlock N kap:ℝ)/(N:ℝ) ≤ 2*kap)
(hA : ProfileLipschitzND A N L)
(b : PolicyBranch A N (sourcePolicyBlock N kap) offset sig n)
(hinit : (b.state 0).start+10*sourcePolicyBlock N kap ≤ (b.state 0).finish) :
let eps := eta/(2*(1+20/kap+1/sig))
(∑ j ∈ Finset.range n, branchExponentND A C lam sig eps
(b.state j) (b.label j) (b.state (j+1)))+
(200*L*(sourcePolicyBlock N kap:ℝ)/N+C*lam+eta/2) ≤
2*A (b.state 0).start-potential A (b.state 0).start (b.state 0).finish
(10*sourcePolicyBlock N kap)+500*L*kap+100*C*(lam+sig)/kap+eta := by
dsimp only
have hq := sourcePolicyBlock_pos hN hkap
have hc := policy_costs_le_final_startND b hN hq hslack hL hA hinit
have hb := source_branch_count_bounds hN hsig hkap hkap1 hceil b
let D : ℝ := 1+20/kap+1/sig
have hD : 0 < D := by dsimp [D]; positivity
have heps : 0 ≤ eta/(2*D) := by positivity
have htime : (n:ℝ)*(eta/(2*D)) ≤ eta/2 := by
have hn : (n:ℝ) ≤ D := by dsimp [D]; linarith [hb.2.2]
calc
_ ≤ D*(eta/(2*D)) := mul_le_mul_of_nonneg_right hn heps
_ = eta/2 := by field_simp
have hloss : (branchNonlowCount b.label n:ℝ)*(C*(lam+sig)) ≤ 20*C*(lam+sig)/kap := by
calc
_ ≤ (20/kap)*(C*(lam+sig)) := mul_le_mul_of_nonneg_right hb.1 (by positivity)
_ = _ := by ring
have hlamK : C*lam ≤ C*(lam+sig)/kap := by
apply (le_div_iff₀ hkap).mpr
have hh := mul_le_mul_of_nonneg_left hkap1 (mul_nonneg hC hlam)
have hcs := mul_nonneg hC hsig.le
nlinarith
have hbudget : 0 ≤ C*(lam+sig)/kap := by positivity
have hwidth := mul_le_mul_of_nonneg_left hqratio (show 0 ≤ 220*L by positivity)
have hLK : 0 ≤ L*kap := by positivity
rw [branch_exponent_sumND]
dsimp only [D] at htime
simp only [mul_div_assoc] at hc hloss hlamK hbudget hwidth ⊢
nlinarith
theorem uniform_source_branch_exponentND (offset : ℕ) {lam sig kap eta L C : ℝ}
(hlam : 0 ≤ lam) (hsig : 0 < sig) (hkap : 0 < kap) (hkap1 : kap ≤ 1)
(hgap : sig < kap/1000) (heta : 0 < eta) (hL : 0 ≤ L) (hC : 0 ≤ C) :
∃ N₀ : ℕ, 0 < N₀ ∧ ∀ N ≥ N₀, ∀ A : ℕ → ℝ,
ProfileLipschitzND A N L → ∀ n : ℕ,
∀ b : PolicyBranch A N (sourcePolicyBlock N kap) offset sig n,
(b.state 0).start+10*sourcePolicyBlock N kap ≤ (b.state 0).finish →
(∑ j ∈ Finset.range n, branchExponentND A C lam sig (eta/(2*(1+20/kap+1/sig)))
(b.state j) (b.label j) (b.state (j+1)))+
(200*L*(sourcePolicyBlock N kap:ℝ)/N+C*lam+eta/2) ≤
2*A (b.state 0).start-potential A (b.state 0).start (b.state 0).finish
(10*sourcePolicyBlock N kap)+500*L*kap+100*C*(lam+sig)/kap+eta := by
obtain ⟨N₁,hN₁,h₁⟩ := uniform_source_ceiling_slack hsig hgap
obtain ⟨N₂,hN₂⟩ := exists_nat_gt (1/kap)
refine ⟨max N₁ N₂,by omega,?_⟩
intro N hN A hA n b hi
have hNp : 0 < N := by omega
have hNR : (0:ℝ) < N := Nat.cast_pos.mpr hNp
have hkn : 1 < kap*(N:ℝ) := by
have hh := (div_lt_iff₀ hkap).mp (hN₂.trans_le (Nat.cast_le.mpr (show N₂ ≤ N by omega)))
linarith
have hq : (sourcePolicyBlock N kap:ℝ) < kap*N+1 :=
Nat.ceil_lt_add_one (mul_nonneg hkap.le hNR.le)
have hqr : (sourcePolicyBlock N kap:ℝ)/(N:ℝ) ≤ 2*kap :=
(div_le_iff₀ hNR).mpr (by linarith)
exact source_branch_exponentND hNp hlam hsig hkap hkap1 heta hL hC
(h₁ N (by omega)).1 (h₁ N (by omega)).2.2 hqr hA b hi
end CurrentFalconer.DimensionalPolicy
end GraphLiteralSupport
end
end
section
section
open Set MeasureTheory
open scoped ComplexConjugate RealInnerProductSpace
namespace GraphLiteralSupport
namespace CurrentFalconer.DimensionalPolicy
open PlanarFalconer
theorem BranchStep.strict_progress {A : ℕ → ℝ} {N q offset : ℕ} {sig : ℝ}
(hN : 0 < N) (hq : 0 < q) (hsig : 0 < sig)
{s u : BranchState} {label : BranchLabel}
(h : BranchStep A N q offset sig s label u) (hv : s.Valid N sig) :
s.start < u.start ∨ u.finish < s.finish := by
cases h with
| suffix hw hs =>
have hp := policyDepth_interior A hq (policyBlocks_nonempty hq hv.2 hw)
right
dsimp [BranchState.finish]
omega
| @low a t i v hw hm hg =>
right
have hpos : 0 < sig*(N:ℝ) := mul_pos hsig (Nat.cast_pos.mpr hN)
dsimp [BranchState.finish]
exact_mod_cast (show (v : ℝ) < t by linarith [hg])
| high hw hs hm hg =>
have hp := policyDepth_interior A hq (policyBlocks_nonempty hq hv.2 hw)
left
dsimp [BranchState.start]
omega
| near hw hs => exact Or.inl hs
| far hw hs hm =>
left
have hh := (Finset.mem_Icc.mp hm).1
dsimp [BranchState.start]
omega
| direct hw hd => exact Or.inl hd.anchor_gt
theorem BranchStep.width_decreases {A : ℕ → ℝ} {N q offset : ℕ} {sig : ℝ}
(hN : 0 < N) (hq : 0 < q) (hsig : 0 < sig)
{s u : BranchState} {label : BranchLabel}
(h : BranchStep A N q offset sig s label u) (hv : s.Valid N sig)
(hu : u.Valid N sig) :
u.finish-u.start < s.finish-s.start := by
have hn := h.nested hq hv
have hp := h.strict_progress hN hq hsig hv
have hd := BranchState.valid_depths hu
omega
theorem valid_step_wellFounded (A : ℕ → ℝ) {N q offset : ℕ} {sig : ℝ}
(hN : 0 < N) (hq : 0 < q) (hsig : 0 < sig) :
WellFounded (fun (u s : {s : BranchState // s.Valid N sig}) =>
∃ label, BranchStep A N q offset sig s.1 label u.1) := by
apply Subrelation.wf (r := (measure fun (s : {s : BranchState // s.Valid N sig}) =>
s.1.finish-s.1.start).rel) ?_ (measure _).wf
intro u s h
obtain ⟨label,hh⟩ := h
exact hh.width_decreases hN hq hsig s.2 u.2
theorem nonterminal_has_step (A : ℕ → ℝ) {N q offset : ℕ} {sig : ℝ}
(hN : 0 < N) (hq : 0 < q) (hsig : 0 < sig)
(hceil : ⌈10*sig*(N:ℝ)⌉₊ < q)
(hslack : sig*(N:ℝ) ≤ q) (hslack10 : 10*sig*(N:ℝ) ≤ q)
(s : BranchState) (hv : s.Valid N sig) (hw : s.start+100*q < s.finish) :
∃ label u, BranchStep A N q offset sig s label u := by
cases s with
| D a t i =>
by_cases hs : a+t < 2*policyDepth A N q a t
· exact ⟨.suffix,_,.suffix hw hs⟩
· refine ⟨.high,_,.high (v := t) hw (by omega) ?_ ?_⟩
· exact Finset.mem_Ioc.mpr ⟨by change a+100*q<t at hw; omega,le_rfl⟩
· have hh : 0 < sig*(N:ℝ) := mul_pos hsig (Nat.cast_pos.mpr hN)
simpa only [sub_self] using hh
| H a₀ t₀ a t i =>
by_cases hh : a < (BranchState.H a₀ t₀ a t i).nearDepth A N q sig
· exact ⟨.near,_,.near hw hh⟩
· have hdir : t-2*sourceFarBuffer N
((remainingPolicyDescriptors A N q a₀ t₀ a).sup descriptorLength) sig ≤ a := by
simpa only [BranchState.nearDepth,BranchState.finish,BranchState.descriptors] using
(not_lt.mp hh)
obtain ⟨e,he⟩ := actual_direct_policy_witness A hsig.le hq hceil hslack hslack10
hv.2.2.2.2 hw hdir
exact ⟨.direct,_,.direct hw he⟩
namespace PolicyBranch
def prepend {A : ℕ → ℝ} {N q offset n : ℕ} {sig : ℝ}
(b : PolicyBranch A N q offset sig n) (s : BranchState) (label : BranchLabel)
(hs : s.Valid N sig) (hstep : BranchStep A N q offset sig s label (b.state 0)) :
PolicyBranch A N q offset sig (n+1) where
state := fun j => match j with | 0 => s | k+1 => b.state k
label := fun j => match j with | 0 => label | k+1 => b.label k
valid := by
intro j hj
cases j with
| zero => exact hs
| succ k => exact b.valid k (by omega)
step := by
intro j hj
cases j with
| zero => exact hstep
| succ k => exact b.step k (by omega)
end PolicyBranch
theorem exists_terminal_branch (A : ℕ → ℝ) {N q offset : ℕ} {sig : ℝ}
(hN : 0 < N) (hq : 0 < q) (hsig : 0 < sig)
(hceil : ⌈10*sig*(N:ℝ)⌉₊ < q)
(hslack : sig*(N:ℝ) ≤ q) (hslack10 : 10*sig*(N:ℝ) ≤ q)
(hbuffer : ∀ L t a : ℕ, a < t-2*sourceFarBuffer N L sig →
t-2*sourceFarBuffer N L sig+offset < t)
(s : BranchState) (hs : s.Valid N sig) :
∃ n, ∃ b : PolicyBranch A N q offset sig n,
b.state 0 = s ∧ (b.state n).finish ≤ (b.state n).start+100*q := by
have wf := valid_step_wellFounded A (offset := offset) hN hq hsig
suffices hh : ∀ x : {s : BranchState // s.Valid N sig},
∃ n, ∃ b : PolicyBranch A N q offset sig n,
b.state 0 = x.1 ∧ (b.state n).finish ≤ (b.state n).start+100*q from hh ⟨s,hs⟩
intro x
induction x using wf.induction with
| h x ih =>
by_cases hw : x.1.start+100*q < x.1.finish
· obtain ⟨label,u,hu⟩ := nonterminal_has_step A hN hq hsig hceil hslack hslack10 x.1 x.2 hw
have huv := hu.valid_successor hq hslack hbuffer x.2
obtain ⟨n,b,hb,ht⟩ := ih ⟨u,huv⟩ ⟨label,hu⟩
have hh : BranchStep A N q offset sig x.1 label (b.state 0) := by rw [hb]; exact hu
exact ⟨n+1,b.prepend x.1 label x.2 hh,rfl,ht⟩
· let b : PolicyBranch A N q offset sig 0 :=
⟨fun _ => x.1,fun _ => .near,fun _ _ => x.2,fun j hj => (Nat.not_lt_zero j hj).elim⟩
exact ⟨0,b,rfl,not_lt.mp hw⟩
theorem uniform_terminal_branch (offset : ℕ) {sig kap : ℝ}
(hsig : 0 < sig) (hkap : 0 < kap) (hkap1 : kap ≤ 1) (hgap : sig < kap/1000) :
∃ N₀ : ℕ, 0 < N₀ ∧ ∀ N ≥ N₀, ∀ A : ℕ → ℝ, ∀ s : BranchState,
s.Valid N sig → s.index = 0 →
∃ n, ∃ b : PolicyBranch A N (sourcePolicyBlock N kap) offset sig n,
b.state 0 = s ∧ (b.state n).finish ≤ (b.state n).start+100*sourcePolicyBlock N kap ∧
(branchNonlowCount b.label n:ℝ) ≤ 20/kap ∧
(branchCount b.label n .low:ℝ) ≤ 1/sig ∧ (n:ℝ) ≤ 20/kap+1/sig ∧
∀ j ≤ n, (b.state j).index+1 < sourceSmoothingLevels sig kap := by
obtain ⟨N₁,hN₁,h₁⟩ := uniform_source_ceiling_slack hsig hgap
obtain ⟨N₂,h₂⟩ := uniform_far_offset_buffer hsig offset
refine ⟨max N₁ N₂,by omega,?_⟩
intro N hN A s hs hi
have hNp : 0 < N := by omega
have hq := sourcePolicyBlock_pos hNp hkap
obtain ⟨hc,hs10,hsl⟩ := h₁ N (by omega)
obtain ⟨n,b,hb,ht⟩ := exists_terminal_branch A hNp hq hsig hc hsl hs10
(h₂ N (by omega)) s hs
have hcounts := source_branch_count_bounds hNp hsig hkap hkap1 hc b
refine ⟨n,b,hb,ht,hcounts.1,hcounts.2.1,hcounts.2.2,?_⟩
intro j hj
exact (source_branch_index_bound hNp hsig hkap hkap1 hc b (by rw [hb]; exact hi) hj).2
end CurrentFalconer.DimensionalPolicy
end GraphLiteralSupport
end
end
end OAI
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