openAI-math-dataset / lean /OAI /Computability /VertexCover /Analysis /SeparatorRoundingErrorAe.lean
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Add lean source and binary files (part 64)
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import Mathlib
import OAI.Computability.VertexCover.Reduction.SeparatorContinuousSumOdd
import OAI.Computability.VertexCover.Analysis.CanonicalGradientValid
import OAI.Computability.VertexCover.Analysis.BlockLawNegInvariant
namespace OAI
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namespace VertexCover.GridCoupling
open MeasureTheory ProbabilityTheory
theorem block_measurePreserving {ι κ : Type*} [Fintype ι] [Fintype κ]
(p : ℕ) (hp : 0 < p) :
MeasurePreserving (fun s : ι → κ → ℝ => fun j k => index p hp (s j k))
(VertexCover.Cube.blockLaw ι κ)
(uniformOn (Set.univ : Set (ι → κ → Fin p))) := by
classical
let : NeZero p := ⟨hp.ne'⟩
have h := VertexCover.Product.piMap_measurePreserving (ι := ι)
(VertexCover.Cube.law κ) (uniformOn (Set.univ : Set (κ → Fin p)))
(fun s : κ → ℝ => fun k => index p hp (s k)) (vector_measurePreserving p hp)
simpa only [pi_uniformOn_univ, VertexCover.Cube.blockLaw] using h
theorem block_rounding_error_ae {ι κ : Type*} [Fintype ι] [Fintype κ]
(p : ℕ) (hp : 0 < p) :
∀ᵐ s ∂VertexCover.Cube.blockLaw ι κ, ∀ j k,
|s j k - midpoint p (index p hp (s j k))| ≤ 1/p := by
apply ae_all_iff.mpr
intro j
apply ae_all_iff.mpr
intro k
have h1 := measurePreserving_eval (fun _ : ι => VertexCover.Cube.law κ) j
have h2 := measurePreserving_eval (fun _ : κ => VertexCover.Cube.intervalLaw) k
exact (h2.comp h1).quasiMeasurePreserving.ae (rounding_error_ae p hp)
theorem midpoint_eq_gridRational (d : ℕ) (i : Fin (2*d+1)) :
midpoint (2*d+1) i = (VertexCover.LabelCover.gridRational d i : ℝ) := by
have hn : (2*(d:ℝ)+1) ≠ 0 := by positivity
simp only [midpoint, VertexCover.LabelCover.gridRational]
push_cast
field_simp
ring
end VertexCover.GridCoupling
namespace VertexCover.LabelCover
open MeasureTheory ProbabilityTheory
noncomputable def continuousSumCLM (Φ : LabelCover) {d : ℕ} (seed : Φ.Seeds d) :
(Fin d → Fin (Φ.WeightDimension d) → ℝ) →L[ℝ] (Φ.Coordinate d → ℝ) :=
LinearMap.toContinuousLinearMap {
toFun := Φ.continuousSum seed
map_add' := by
intro s t
simp only [continuousSum, Pi.add_apply, Φ.increment_add, Finset.sum_add_distrib]
map_smul' := by
intro a s
change (∑ j, Φ.increment (Φ.query seed j) (fun k => a*s j k)) = _
simp only [Φ.increment_mul]
ext p
simp [continuousSum, Finset.mul_sum]
}
theorem separator_continuousSum_continuous (Φ : LabelCover) {d : ℕ}
(A : Finset (Φ.Coordinate d → ℝ)) (hA : A.Nonempty) (seed : Φ.Seeds d) :
Continuous (fun s => Φ.separator A hA (Φ.continuousSum seed s)) :=
(Φ.separator_continuous A hA).comp (Φ.continuousSumCLM seed).continuous
theorem separator_continuousSum_mean_zero (Φ : LabelCover) {d : ℕ}
(A : Finset (Φ.Coordinate d → ℝ)) (hA : A.Nonempty) (seed : Φ.Seeds d) :
(∫ s, Φ.separator A hA (Φ.continuousSum seed s)
∂VertexCover.Cube.blockLaw (Fin d) (Fin (Φ.WeightDimension d))) = 0 := by
have h := integral_neg_eq_self
(fun s => Φ.separator A hA (Φ.continuousSum seed s))
(VertexCover.Cube.blockLaw (Fin d) (Fin (Φ.WeightDimension d)))
simp only [Φ.separator_continuousSum_odd, integral_neg] at h
linarith
noncomputable def roundedVertex (Φ : LabelCover) {d : ℕ} (seed : Φ.Seeds d)
(s : Fin d → Fin (Φ.WeightDimension d) → ℝ) : Φ.Vertex d :=
(seed, fun j k => VertexCover.GridCoupling.index (2*d+1) (by omega) (s j k))
theorem separator_rounding_error_ae (Φ : LabelCover) {d : ℕ}
(A : Finset (Φ.Coordinate d → ℝ)) (hA : A.Nonempty) (seed : Φ.Seeds d) :
∀ᵐ s ∂VertexCover.Cube.blockLaw (Fin d) (Fin (Φ.WeightDimension d)),
|Φ.separator A hA (Φ.continuousSum seed s) -
Φ.separator A hA (Φ.sumVector (Φ.roundedVertex seed s))| ≤
(d:ℝ)/(2*d+1) := by
filter_upwards [VertexCover.GridCoupling.block_rounding_error_ae
(ι := Fin d) (κ := Fin (Φ.WeightDimension d)) (2*d+1) (by omega)] with s hs
apply (Φ.separator_lipschitz A hA _ _).trans
rw [Φ.sumVector_eq_continuousSum]
have h := Φ.continuousSum_close seed s
(fun j k => (gridRational d ((Φ.roundedVertex seed s).2 j k) : ℝ))
(b := 1/(2*d+1)) (by positivity) (by
intro j k
simpa only [roundedVertex, ← VertexCover.GridCoupling.midpoint_eq_gridRational,
Nat.cast_add, Nat.cast_mul, Nat.cast_ofNat, Nat.cast_one] using hs j k)
simpa only [div_eq_mul_inv, one_mul, roundedVertex] using h
end VertexCover.LabelCover
end
end
end
end
end
end
end
end
end
end
end
end
end
end
end
end
end
end
end
end
end
end
end
end
end
end
end
end
end
end
end
end
end OAI