Download lean/OAI/Probability/CriticalPercolation/Modular/DensityModular.lean from roseking/openAI-math-dataset: direct link, hf CLI and curl.
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https://huggingface.co/datasets/roseking/openAI-math-dataset/resolve/main/lean/OAI/Probability/CriticalPercolation/Modular/DensityModular.lean
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hf download hf://datasets/roseking/openAI-math-dataset/lean/OAI/Probability/CriticalPercolation/Modular/DensityModular.lean
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curl -L -o DensityModular.lean https://huggingface.co/datasets/roseking/openAI-math-dataset/resolve/main/lean/OAI/Probability/CriticalPercolation/Modular/DensityModular.lean
1.23 kB
| import Mathlib | |
| import OAI.Probability.CriticalPercolation.ProductMeasure.Density | |
| namespace OAI | |
| section | |
| section | |
| open Set MeasureTheory ProbabilityTheory | |
| open Set | |
| open scoped BigOperators | |
| namespace CriticalPercolation.FiniteProduct | |
| open scoped Classical | |
| variable {E : Type*} [Fintype E] | |
| lemma density_modular (w : E → Prop → ℝ) (x y : E → Prop) : | |
| density w x * density w y = density w (x ⊓ y) * density w (x ⊔ y) := by | |
| unfold density | |
| rw [← Finset.prod_mul_distrib, ← Finset.prod_mul_distrib] | |
| apply Finset.prod_congr rfl | |
| intro e _ | |
| simp only [Pi.inf_apply, Pi.sup_apply] | |
| by_cases hx : x e <;> by_cases hy : y e <;> simp [hx, hy, mul_comm] | |
| lemma expect_mul_ge (w : E → Prop → ℝ) (hw : ∀ e, ∑ b, w e b = 1) | |
| (hpos : ∀ e b, 0 ≤ w e b) (f g : (E → Prop) → ℝ) | |
| (hf0 : ∀ ω, 0 ≤ f ω) (hg0 : ∀ ω, 0 ≤ g ω) | |
| (hf : Monotone f) (hg : Monotone g) : | |
| expect w f * expect w g ≤ expect w (fun ω => f ω * g ω) := by | |
| have h := fkg f g (density w) (fun ω => density_nonneg hpos ω) hf0 hg0 hf hg | |
| (fun x y => le_of_eq (density_modular w x y)) | |
| simpa only [expect, sum_density w hw, one_mul] using h | |
| end CriticalPercolation.FiniteProduct | |
| end | |
| end | |
| end OAI | |