openAI-math-dataset / lean /OAI /MeasureTheory /Falconer /Recursion /BranchExponentAlgebra.lean
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Add lean source and binary files (part 93)
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import OAI.MeasureTheory.Falconer.Recursion.BranchPotential
import OAI.MeasureTheory.Falconer.Recursion.SourceBranchDepth
namespace OAI
namespace PlanarFalconer
theorem branch_nonlow_indicator_sum (label : ℕ → BranchLabel) (n : ℕ) :
(∑ j ∈ Finset.range n, if label j = .low then 0 else 1) = branchNonlowCount label n := by
have htot := branch_count_total label n
have hsum : branchCount label n .low +
(∑ j ∈ Finset.range n, if label j = .low then 0 else 1) = n := by
simp only [branchCount,← Finset.sum_add_distrib]
calc
_ = ∑ _j ∈ Finset.range n, (1:ℕ) := by
apply Finset.sum_congr rfl
intro j _
by_cases hj : label j = .low <;> simp [hj]
_ = n := by simp
omega
theorem branch_nonlow_loss_sum (label : ℕ → BranchLabel) (n : ℕ) (loss : ℝ) :
(∑ j ∈ Finset.range n, if label j = .low then 0 else loss) =
(branchNonlowCount label n:ℝ)*loss := by
have hcast := congrArg (fun k : ℕ => (k:ℝ)) (branch_nonlow_indicator_sum label n)
simp only [Nat.cast_sum,Nat.cast_ite,Nat.cast_zero,Nat.cast_one] at hcast
calc
_ = ∑ j ∈ Finset.range n, (if label j = .low then (0:ℝ) else 1)*loss := by
apply Finset.sum_congr rfl
intro j _
by_cases hj : label j = .low <;> simp [hj]
_ = _ := by rw [← Finset.sum_mul,hcast]
noncomputable def branchExponent (A : ℕ → ℝ) (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 4000*(lam+sig))+eps
theorem branch_exponent_sum (A : ℕ → ℝ) (lam sig eps : ℝ)
(state : ℕ → BranchState) (label : ℕ → BranchLabel) (n : ℕ) :
(∑ j ∈ Finset.range n, branchExponent A 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)*(4000*(lam+sig))+(n:ℝ)*eps := by
simp only [branchExponent,Finset.sum_add_distrib]
rw [profile_increments_telescope A (fun j => (state j).start) n,branch_nonlow_loss_sum]
simp
theorem source_branch_exponent {A : ℕ → ℝ} {N n : ℕ} {lam sig kap eta : ℝ}
(hN : 0 < N) (hlam : 0 ≤ lam) (hsig : 0 < sig) (hkap : 0 < kap) (hkap1 : kap ≤ 1)
(heta : 0 < eta) (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 : DiscreteProfileLipschitz A N)
(b : PolicyBranch A N (sourcePolicyBlock N kap) 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, branchExponent A lam sig eps (b.state j) (b.label j) (b.state (j+1))) +
(200*(sourcePolicyBlock N kap:ℝ)/N+12*lam+eta/2) ≤
2*A (b.state 0).start-potential A (b.state 0).start (b.state 0).finish
(10*sourcePolicyBlock N kap)+500*kap+10^6*(lam+sig)/kap+eta := by
dsimp only
have hq := sourcePolicyBlock_pos hN hkap
have hc := b.costs_le_final_start hN hq hslack 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)*(4000*(lam+sig)) ≤ 80000*(lam+sig)/kap := by
calc
_ ≤ (20/kap)*(4000*(lam+sig)) := mul_le_mul_of_nonneg_right hb.1 (by positivity)
_ = _ := by ring
have hlamK : lam ≤ (lam+sig)/kap := by
apply (le_div_iff₀ hkap).mpr
have hh := mul_le_mul_of_nonneg_left hkap1 hlam
linarith
have hbudget : 0 ≤ (lam+sig)/kap := by positivity
rw [branch_exponent_sum]
dsimp only [D] at htime
simp only [mul_div_assoc] at hc hloss ⊢
nlinarith
theorem uniform_source_branch_exponent {lam sig kap eta : ℝ}
(hlam : 0 ≤ lam) (hsig : 0 < sig) (hkap : 0 < kap) (hkap1 : kap ≤ 1)
(hgap : sig < kap/1000) (heta : 0 < eta) :
∃ N₀ : ℕ, 0 < N₀ ∧ ∀ N ≥ N₀, ∀ A : ℕ → ℝ,
DiscreteProfileLipschitz A N → ∀ n : ℕ,
∀ b : PolicyBranch A N (sourcePolicyBlock N kap) sig n,
(b.state 0).start+10*sourcePolicyBlock N kap ≤ (b.state 0).finish →
(∑ j ∈ Finset.range n, branchExponent A lam sig (eta/(2*(1+20/kap+1/sig)))
(b.state j) (b.label j) (b.state (j+1))) +
(200*(sourcePolicyBlock N kap:ℝ)/N+12*lam+eta/2) ≤
2*A (b.state 0).start-potential A (b.state 0).start (b.state 0).finish
(10*sourcePolicyBlock N kap)+500*kap+10^6*(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_exponent hNp hlam hsig hkap hkap1 heta
(h₁ N (by omega)).1 (h₁ N (by omega)).2.2 hqr hA b hi
end PlanarFalconer
end OAI