Download lean/OAI/Probability/SATComputability/FinitePushforward.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/SATComputability/FinitePushforward.lean
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hf download hf://datasets/roseking/openAI-math-dataset/lean/OAI/Probability/SATComputability/FinitePushforward.lean
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curl -L -o FinitePushforward.lean https://huggingface.co/datasets/roseking/openAI-math-dataset/resolve/main/lean/OAI/Probability/SATComputability/FinitePushforward.lean
2.39 kB
| import OAI.Probability.SATComputability.IncidentMasks | |
| import OAI.Probability.SATComputability.PoissonCounts | |
| namespace OAI | |
| namespace FixedClauseThreshold.Computability | |
| open DilutedSpinGlass _root_.MeasureTheory _root_.OAI.MeasureTheory ProbabilityTheory | |
| open scoped BigOperators Classical | |
| theorem finite_indicator_integrable {X Y : Type*} [MeasurableSpace X] | |
| [Fintype Y] [MeasurableSpace Y] [MeasurableSingletonClass Y] | |
| (μ : Measure X) [IsProbabilityMeasure μ] (g : X → Y) (hg : Measurable g) (y : Y) : | |
| Integrable (fun x => if g x = y then (1 : ℝ) else 0) μ := by | |
| apply Integrable.of_bound | |
| (((measurable_of_countable (fun z : Y => if z = y then (1 : ℝ) else 0)).comp hg).aestronglyMeasurable) 1 | |
| filter_upwards [] with x | |
| dsimp only [Function.comp_def] | |
| split_ifs <;> norm_num | |
| noncomputable def finitePushforward {X Y : Type*} [MeasurableSpace X] | |
| [Fintype Y] [MeasurableSpace Y] [MeasurableSingletonClass Y] | |
| (μ : Measure X) [IsProbabilityMeasure μ] (g : X → Y) (hg : Measurable g) : FiniteLaw Y where | |
| weight y := ∫ x, if g x = y then 1 else 0 ∂μ | |
| nonneg y := integral_nonneg (fun x => by split_ifs <;> norm_num) | |
| total := by | |
| rw [← integral_finsetSum _ (fun y _ => finite_indicator_integrable μ g hg y)] | |
| simp | |
| theorem finitePushforward_expect {X Y : Type*} [MeasurableSpace X] | |
| [Fintype Y] [MeasurableSpace Y] [MeasurableSingletonClass Y] | |
| (μ : Measure X) [IsProbabilityMeasure μ] (g : X → Y) (hg : Measurable g) (f : Y → ℝ) : | |
| (finitePushforward μ g hg).expect f = ∫ x, f (g x) ∂μ := by | |
| simp only [FiniteLaw.expect, finitePushforward] | |
| simp_rw [← integral_mul_const] | |
| rw [← integral_finsetSum _ (fun y _ => (finite_indicator_integrable μ g hg y).mul_const (f y))] | |
| apply integral_congr_ae | |
| filter_upwards [] with x | |
| simp | |
| theorem bounded_finite_observable {X Y : Type*} [MeasurableSpace X] | |
| [Fintype Y] [MeasurableSpace Y] [MeasurableSingletonClass Y] | |
| (μ : Measure X) [IsProbabilityMeasure μ] (g : X → Y) (hg : Measurable g) (f : Y → ℝ) : | |
| Integrable (fun x => f (g x)) μ := by | |
| apply Integrable.of_bound ((measurable_of_countable f).comp hg).aestronglyMeasurable | |
| (∑ y, |f y|) | |
| filter_upwards [] with x | |
| rw [Real.norm_eq_abs] | |
| exact Finset.single_le_sum (fun y _ => abs_nonneg (f y)) (Finset.mem_univ (g x)) | |
| end FixedClauseThreshold.Computability | |
| end OAI | |