openAI-math-dataset / lean /OAI /Combinatorics /EditApproximation /Refinement /ComputedCoarsePreparation.lean
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Add lean source and binary files (part 43)
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import OAI.Combinatorics.EditApproximation.Refinement.ComputedParameterRegisters
import OAI.Combinatorics.EditApproximation.Refinement.PhysicalCoarsePreparation
import OAI.Combinatorics.EditApproximation.Refinement.ComputedCoarseInputWork
import OAI.Combinatorics.EditApproximation.Definitions
namespace OAI
namespace EditApproximation
open Filter MeasureTheory
theorem computedExecutionCoarsePreparationWork_integrable (source target : List ℕ) (N : ℕ) :
Integrable (computedExecutionCoarsePreparationWork source target N) (computedExecutionLaw source target N) :=
computedExecutionAcceptedWork_integrable source target N (computedFamilyCoarsePreparationWork source target N)
theorem computedExecutionCoarsePreparationWork_bound :
∀ᶠ N : ℕ in atTop, ∀ source target : List ℕ, source.length + target.length ≤ N →
(∀ a ∈ source ++ target, Nat.size a ≤ inputHeight N ^ 3) →
∀ execution : ComputedExecutionOutcome source target N,
computedExecutionCoarsePreparationWork source target N execution ≤
(inputHeight N : ℝ) ^ 6 * computedExecutionCoarseInputWork source target N execution := by
filter_upwards [eventually_ge_atTop 1,
inputSmallLog_tendsto.eventually (eventually_ge_atTop 200)] with N hN hell
intro source target hsize hsymbol execution
have hH : 100 ≤ inputHeight N := (by decide : 100 ≤ 256).trans
(computed_coarse_height_large N (by omega) hell)
have hl : Nat.size N ≤ inputHeight N + 1 :=
(Nat.size_le_size (Nat.le_add_right N 2)).trans (inputLength_register_word N)
have hp : inputHeight N + 1 ≤ inputHeight N ^ 3 := by
have h : inputHeight N ≤ inputHeight N ^ 2 := Nat.le_pow (by decide)
have hh := Nat.mul_le_mul_right (inputHeight N ^ 2) (show 2 ≤ inputHeight N by omega)
nlinarith only [h, hh, hH]
exact physicalFamilyCoarsePreparationWork_bound source target N (integerParameters N).P (inputHeight N)
(integerParameters N).T (integerParameters N).S (computedSeedPassCount N) (inputHeight N ^ 2)
(scheduledSeedFactor N) (scheduledSeedMultiplier N)
(rationalParameters (inputSmallLog N)).tau (rationalParameters (inputSmallLog N)).eta
(rationalParameters (inputSmallLog N)).kappa (rationalParameters (inputSmallLog N)).delta
(clampedSeedNat (computedExecutionAccepted source target N execution).1)
(computedExecutionAccepted source target N execution).2 (16384 * inputHeight N + 5)
(computedFamilyMemoCode source target N (inputHeight N ^ 2)) (computedFinalRoot source target N)
hH ((Nat.size_le_size (by omega : source.length ≤ N)).trans (hl.trans hp))
((Nat.size_le_size (by omega : target.length ≤ N)).trans (hl.trans hp)) hsymbol
theorem computedExecutionCoarsePreparationWork_expected_near_linear (epsilon : ℝ) (hepsilon : 0 < epsilon) :
∀ᶠ N in atTop, ∀ source target : List ℕ, source.length + target.length ≤ N →
(∀ a ∈ source ++ target, Nat.size a ≤ inputHeight N ^ 3) →
(∫ execution, computedExecutionCoarsePreparationWork source target N execution
∂computedExecutionLaw source target N) ≤ (N + 2 : ℝ) ^ (1 + epsilon) := by
have he : 0 < epsilon / 2 := half_pos hepsilon
filter_upwards [computedExecutionCoarsePreparationWork_bound,
computedExecutionCoarseInputWork_expected_near_linear (epsilon / 2) he,
fixed_height_power_subpolynomial 6 (epsilon / 2) he] with N hb hi hp
intro source target hsize hsymbol
have hm := integral_mono (computedExecutionCoarsePreparationWork_integrable source target N)
((computedExecutionCoarseInputWork_integrable source target N).const_mul ((inputHeight N : ℝ) ^ 6))
(hb source target hsize hsymbol)
rw [integral_const_mul] at hm
calc
_ ≤ (inputHeight N : ℝ) ^ 6 * (N + 2 : ℝ) ^ (1 + epsilon / 2) :=
hm.trans (mul_le_mul_of_nonneg_left (hi source target hsize) (by positivity))
_ ≤ (N + 2 : ℝ) ^ (epsilon / 2) * (N + 2 : ℝ) ^ (1 + epsilon / 2) :=
mul_le_mul_of_nonneg_right hp (by positivity)
_ = _ := by rw [← Real.rpow_add (by positivity)]; congr 1; ring
end EditApproximation
end OAI