import OAI.MeasureTheory.Falconer.Graphs.GraphNormalization import OAI.MeasureTheory.Falconer.Recursion.BranchExponentAlgebra namespace OAI /-! # The scheduled branch ledger with the ambient dimension retained The policy branches and their payment identities are scalar combinatorics. Their final-potential bound uses the dimension-dependent Lipschitz constant. -/ namespace Falconer open PlanarFalconer open scoped BigOperators theorem dimension_profile_increment_le {A : ℕ → ℝ} {N : ℕ} {d : ℝ} (hN : 0 < N) (hd : 0 ≤ d) (hlip : ∀ i j, i ≤ N → j ≤ N → |A i-A j| ≤ d*|(i:ℝ)-j|/N) {i j : ℕ} (hi : i ≤ N) (hj : j ≤ N) : |A i-A j| ≤ d := by have hNR : (0:ℝ) < N := Nat.cast_pos.mpr hN have hi' : (i:ℝ) ≤ N := Nat.cast_le.mpr hi have hj' : (j:ℝ) ≤ N := Nat.cast_le.mpr hj have habs : |(i:ℝ)-j| ≤ N := abs_le.mpr ⟨by linarith [Nat.cast_nonneg (α := ℝ) i],by linarith [Nat.cast_nonneg (α := ℝ) j]⟩ calc _ ≤ d*|(i:ℝ)-j|/N := hlip i j hi hj _ ≤ d*(N:ℝ)/N := div_le_div_of_nonneg_right (mul_le_mul_of_nonneg_left habs hd) hNR.le _ = d := by field_simp theorem dimension_branch_cost_le {A : ℕ → ℝ} {N q : ℕ} {σ d : ℝ} (hN : 0 < N) (hq : 0 < q) (hd : 0 ≤ d) (hlip : ∀ i j, i ≤ N → j ≤ N → |A i-A j| ≤ d*|(i:ℝ)-j|/N) {s u : BranchState} {l : BranchLabel} (h : BranchStep A N q σ s l u) (hs : s.Valid N σ) (hu : u.Valid N σ) : branchCost A s l u ≤ d := by have hbound {a t i : ℕ} (hat : a ≤ t) (ht : t ≤ N) (hi : i ≤ N) : A i-intervalMin A a t ≤ d := by obtain ⟨j,_,hjt,hmin⟩ := intervalMin_attained A hat rw [hmin] exact (le_abs_self _).trans (dimension_profile_increment_le hN hd hlip hi (hjt.trans ht)) have hn := h.nested hq hs have hsd := BranchState.valid_depths hs have hud := BranchState.valid_depths hu cases h <;> simp only [branchCost] · exact hbound hn.2 hsd.2 hud.2 · exact hd · exact hbound hn.1 (hud.1.trans hud.2) (hud.1.trans hud.2) · exact hd · exact hd · exact hbound hn.1 (hud.1.trans hud.2) (hud.1.trans hud.2) theorem dimension_ancestor_exponent_bound {A : ℕ → ℝ} {N q n : ℕ} {lam σ ε d : ℝ} (b : PolicyBranch A N q σ n) (hN : 0 < N) (hq : 0 < q) (hd : 0 ≤ d) (hloss : 0 ≤ 4000*(lam+σ)) (hlip : ∀ i j, i ≤ N → j ≤ N → |A i-A j| ≤ d*|(i:ℝ)-j|/N) : ∑ j ∈ Finset.range n, branchExponent A lam σ ε (b.state j) (b.label j) (b.state (j+1)) ≤ (n:ℝ)*(3*d+4000*(lam+σ)+ε) := by calc _ ≤ ∑ _j ∈ Finset.range n, (3*d+4000*(lam+σ)+ε) := by apply Finset.sum_le_sum intro j hj have hj' := Finset.mem_range.mp hj have hs := b.valid j hj'.le have hu := b.valid (j+1) (by omega) have hc := dimension_branch_cost_le hN hq hd hlip (b.step j hj') hs hu have hi := abs_le.mp (dimension_profile_increment_le hN hd hlip ((BranchState.valid_depths hu).1.trans (BranchState.valid_depths hu).2) ((BranchState.valid_depths hs).1.trans (BranchState.valid_depths hs).2)) unfold branchExponent split_ifs <;> linarith _ = _ := by simp only [Finset.sum_const,Finset.card_range,nsmul_eq_mul] theorem dimension_branch_cost_bound {A : ℕ → ℝ} {N q n : ℕ} {σ d : ℝ} (b : PolicyBranch A N q σ n) (hN : 0 < N) (hq : 0 < q) (hslack : σ*(N:ℝ) ≤ q) (hd : 0 ≤ d) (hlip : ∀ i j, i ≤ N → j ≤ N → |A i-A j| ≤ d*|(i:ℝ)-j|/N) (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*d*(q:ℝ)/N- potential A (b.state 0).start (b.state 0).finish (10*q) := by have hQ : 0 < 10*q := by omega have hpot (a t f : ℕ) (hw : a+10*q ≤ t) (ht : t ≤ N) (haf : a ≤ f) (hft : f ≤ t) : potential A a t (10*q) ≤ 2*A f+20*d*(q:ℝ)/N := by have hh := last_potential_bound A hQ hw haf hft hd hN (fun i _ hit => hlip i f (hit.trans ht) (hft.trans ht)) convert hh using 1 push_cast ring 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 := hpot _ _ _ hw hfinal.2 le_rfl hfinal.1 linarith · 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 hdepth := 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 := hpot _ _ _ hpwide hdepth.2 hn.1 (hfinal.1.trans hn.2) rw [Finset.sum_range_succ,hz,add_zero] linarith theorem dimension_source_branch_exponent {A : ℕ → ℝ} {N n : ℕ} {lam σ κ η d : ℝ} (hN : 0 < N) (hlam : 0 ≤ lam) (hσ : 0 < σ) (hκ : 0 < κ) (hκ1 : κ ≤ 1) (hη : 0 < η) (hd : 0 ≤ d) (hceil : ⌈10*σ*(N:ℝ)⌉₊ < sourcePolicyBlock N κ) (hslack : σ*(N:ℝ) ≤ sourcePolicyBlock N κ) (hlip : ∀ i j, i ≤ N → j ≤ N → |A i-A j| ≤ d*|(i:ℝ)-j|/N) (b : PolicyBranch A N (sourcePolicyBlock N κ) σ n) (hinit : (b.state 0).start+10*sourcePolicyBlock N κ ≤ (b.state 0).finish) : ∑ j ∈ Finset.range n, branchExponent A lam σ (η/(2*(1+20/κ+1/σ))) (b.state j) (b.label j) (b.state (j+1)) ≤ 2*A (b.state 0).start- potential A (b.state 0).start (b.state 0).finish (10*sourcePolicyBlock N κ)+ 20*d*(sourcePolicyBlock N κ:ℝ)/N+80000*(lam+σ)/κ+η/2 := by have hc := dimension_branch_cost_bound b hN (sourcePolicyBlock_pos hN hκ) hslack hd hlip hinit have hb := source_branch_count_bounds hN hσ hκ hκ1 hceil b let D : ℝ := 1+20/κ+1/σ have hD : 0 < D := by dsimp [D]; positivity have hηD : 0 ≤ η/(2*D) := by positivity have htime : (n:ℝ)*(η/(2*D)) ≤ η/2 := by have hn : (n:ℝ) ≤ D := by dsimp [D]; linarith [hb.2.2] calc _ ≤ D*(η/(2*D)) := mul_le_mul_of_nonneg_right hn hηD _ = η/2 := by field_simp have hloss : (branchNonlowCount b.label n:ℝ)*(4000*(lam+σ)) ≤ 80000*(lam+σ)/κ := by calc _ ≤ (20/κ)*(4000*(lam+σ)) := mul_le_mul_of_nonneg_right hb.1 (by positivity) _ = _ := by ring rw [branch_exponent_sum] dsimp only [D] at htime linarith end Falconer end OAI