Download lean/OAI/Probability/RadialTransition/ClusterConvolution.lean from roseking/openAI-math-dataset: direct link, hf CLI and curl.
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3.14 kB
| import OAI.Probability.RadialTransition.GrandBounds | |
| namespace OAI | |
| universe uX uY | |
| noncomputable section | |
| open scoped BigOperators ENNReal NNReal | |
| open MeasureTheory Set Filter | |
| namespace RadialTransition | |
| lemma antidiagonal_map {X : Type uX} {Y : Type uY} (f : X → Y) (s : Multiset X) : | |
| (s.map f).antidiagonal = s.antidiagonal.map (fun p => (p.1.map f, p.2.map f)) := by | |
| induction s using Multiset.induction_on with | |
| | empty => simp | |
| | cons a s ih => | |
| simp only [Multiset.map_cons, Multiset.antidiagonal_cons, ih, Multiset.map_add, Multiset.map_map] | |
| congr 1 <;> apply Multiset.map_congr rfl <;> intro p hp <;> simp | |
| lemma powerset_val_map {X : Type uX} (s : Finset X) : | |
| (s.powerset.val.map Finset.val) = s.val.powerset := by | |
| simp [Finset.powerset, Multiset.map_pmap, Multiset.pmap_eq_map] | |
| lemma configurationMultiset_val {X : Type uX} {ι : Type} [Fintype ι] (x : ι → X) : | |
| configurationMultiset x = (Finset.univ.val.map x) := by | |
| simp only [configurationMultiset, Finset.sum] | |
| simpa only [Multiset.map_map, Function.comp_def] using | |
| Multiset.sum_map_singleton (Finset.univ.val.map x) | |
| lemma configurationMultiset_subtype {X : Type uX} {ι : Type} [Fintype ι] | |
| (x : ι → X) (T : Finset ι) : | |
| configurationMultiset (fun i : T => x i) = T.val.map x := by | |
| unfold configurationMultiset | |
| calc | |
| (∑ i : T, {x i}) = ∑ i ∈ T, {x i} := Finset.sum_finset_coe (fun i => {x i}) T | |
| _ = _ := by | |
| change (T.val.map (fun i => {x i})).sum = T.val.map x | |
| simpa only [Multiset.map_map, Function.comp_def] using Multiset.sum_map_singleton (T.val.map x) | |
| def clusterConvolution {X : Type uX} (F G : Multiset X → ℝ≥0∞) (s : Multiset X) : ℝ≥0∞ := | |
| (s.antidiagonal.map (fun p => F p.1 * G p.2)).sum | |
| lemma clusterConvolution_add_ge {X : Type uX} (F G : Multiset X → ℝ≥0∞) (s u : Multiset X) : | |
| F s*G u ≤ clusterConvolution F G (s+u) := by | |
| apply Multiset.single_le_sum (fun _ _ => bot_le) | |
| exact Multiset.mem_map.mpr ⟨(s,u), Multiset.mem_antidiagonal.mpr rfl, rfl⟩ | |
| lemma clusterConvolution_configuration {X : Type uX} {ι : Type} [Fintype ι] [DecidableEq ι] | |
| (F G : Multiset X → ℝ≥0∞) (x : ι → X) : | |
| clusterConvolution F G (configurationMultiset x) = | |
| ∑ T : Finset ι, F (configurationMultiset (fun i : {i // i ∉ T} => x i)) * | |
| G (configurationMultiset (fun i : T => x i)) := by | |
| classical | |
| rw [clusterConvolution, configurationMultiset_val, antidiagonal_map, | |
| Multiset.antidiagonal_eq_map_powerset, ← powerset_val_map] | |
| simp only [Multiset.map_map, Function.comp_def] | |
| rw [Finset.powerset_univ] | |
| apply Finset.sum_congr rfl | |
| intro T _ | |
| congr 1 | |
| · have hval : Finset.univ.val-T.val = Tᶜ.val := by | |
| change (Finset.univ \ T).val = Tᶜ.val | |
| rfl | |
| rw [hval] | |
| congr 1 | |
| let e : {i // i ∉ T} ≃ {i // i ∈ Tᶜ} := Equiv.subtypeEquivProp (by simp) | |
| have hh := configurationMultiset_equiv e (fun i : {i // i ∈ Tᶜ} => x i) | |
| rw [configurationMultiset_subtype] at hh | |
| exact hh.symm | |
| · congr 1 | |
| exact (configurationMultiset_subtype x T).symm | |
| end RadialTransition | |
| end | |
| end OAI | |