import Mathlib 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 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