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Add lean source and binary files (part 43)
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import OAI.Combinatorics.EditApproximation.Refinement.ComputedCoarseInitialWork
import OAI.Combinatorics.EditApproximation.Refinement.PhysicalCoarseSeedLaw
import OAI.Combinatorics.EditApproximation.Probability.FreshCoordinateCost
namespace OAI
namespace EditApproximation
/-- Keep the branch dimensions symbolic when forming the finite source sum. -/
def coarseEntryBinaryCost (N B d : ℕ) [NeZero B] (x y : List ℕ)
(draws : CoarseGuessIndex (coarseEntryWidth x y) → CoarseThresholdDraws B d) : ℕ :=
(BinaryFraction.coarseInitialWithWork (inputHeight N ^ 4) (64 * inputHeight N) N
(Nat.pos_of_neZero B) (pow_pos (Nat.two_pow_pos _) _)
(Nat.mul_pos (by decide) (Nat.two_pow_pos _)) x y draws).2
theorem coarseEntryBinaryCost_computed_bound :
∀ᶠ N : ℕ in Filter.atTop, ∀ B d : ℕ, ∀ x y : List ℕ,
B = (integerParameters N).B → d = computedCoarseDepth N (coarseEntryWidth x y) →
coarseEntryWidth x y ≤ N → (∀ a ∈ x ++ y, Nat.size a ≤ inputHeight N ^ 3) →
∀ (_hB : NeZero B) (draw : CoarseGuessIndex (coarseEntryWidth x y) → CoarseThresholdDraws B d),
(coarseEntryBinaryCost N B d x y draw : ℝ) ≤ (inputHeight N : ℝ) ^ 36 *
((coarseInitialArrayWork B d (initialThresholdQ N) (initialLambda N) x y draw : ℝ) +
(x.length + 1 : ℕ)) := by
filter_upwards [BinaryFraction.computedCoarseInitialWithWork_bound] with N hN
intro B d x y hB hd hxy hsymbols hinstance draw
have hb := hN B d x y hB hd hxy hsymbols
(Nat.pos_of_neZero _) (pow_pos (Nat.two_pow_pos _) _)
(Nat.mul_pos (by decide) (Nat.two_pow_pos _)) draw
exact_mod_cast hb
noncomputable def coarseEntryCostSum {M J B : ℕ} [NeZero B] (source target : List ℕ)
(N : ℕ) (depth : PhysicalEntry M J target.length → ℕ)
(draw : PhysicalCoarseDraw source target B depth)
(selected : PhysicalEntry M J target.length → Prop) : ℝ := by
classical
exact ∑ entry : PhysicalEntry M J target.length, selectionIndicator (selected entry) *
(coarseEntryBinaryCost N B (depth entry) (physicalSource source entry.1)
(substring target entry.2.lo entry.2.hi) (draw entry) : ℝ)
theorem coarseEntryCostSum_bound {M J B : ℕ} [NeZero B] (source target : List ℕ)
(N : ℕ) (depth : PhysicalEntry M J target.length → ℕ)
(draw : PhysicalCoarseDraw source target B depth)
(selected : PhysicalEntry M J target.length → Prop) (C : ℝ)
(hc : ∀ entry : PhysicalEntry M J target.length,
(coarseEntryBinaryCost N B (depth entry) (physicalSource source entry.1)
(substring target entry.2.lo entry.2.hi) (draw entry) : ℝ) ≤
C * ((coarseInitialArrayWork B (depth entry) (initialThresholdQ N) (initialLambda N)
(physicalSource source entry.1) (substring target entry.2.lo entry.2.hi) (draw entry) : ℝ) +
((physicalSource source entry.1).length + 1 : ℕ))) :
coarseEntryCostSum source target N depth draw selected ≤ C *
((∑ entry : PhysicalEntry M J target.length, selectionIndicator (selected entry) *
(coarseInitialArrayWork B (depth entry) (initialThresholdQ N) (initialLambda N)
(physicalSource source entry.1) (substring target entry.2.lo entry.2.hi) (draw entry) : ℝ)) +
∑ entry : PhysicalEntry M J target.length, selectionIndicator (selected entry) *
((physicalSource source entry.1).length + 1 : ℕ)) := by
classical
rw [← Finset.sum_add_distrib, Finset.mul_sum]
unfold coarseEntryCostSum
apply Finset.sum_le_sum
intro entry _
have hs : 0 ≤ selectionIndicator (selected entry) := by
unfold selectionIndicator
split <;> norm_num
exact (mul_le_mul_of_nonneg_left (hc entry) hs).trans_eq (by ring)
end EditApproximation
end OAI