openAI-math-dataset / lean /OAI /Probability /InvariantIsing /Spectral /CompactFiniteTestControl.lean
Download lean/OAI/Probability/InvariantIsing/Spectral/CompactFiniteTestControl.lean from roseking/openAI-math-dataset: direct link, hf CLI and curl.
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| import OAI.Probability.InvariantIsing.Spectral.ResolventMeasureUniqueness | |
| import Mathlib.MeasureTheory.Measure.Prokhorov | |
| namespace OAI | |
| /-! Finitely many separating tests control a continuous image of a compact space. -/ | |
| noncomputable section | |
| open Set Filter MeasureTheory | |
| open scoped Topology | |
| namespace InvariantIsing | |
| theorem compact_finite_test_control {X ι Y : Type*} [TopologicalSpace X] [CompactSpace X] | |
| [PseudoMetricSpace Y] (F : ι → X → ℝ) (hF : ∀ i, Continuous (F i)) | |
| (hsep : ∀ x y, (∀ i, F i x = F i y) → x = y) | |
| (G : X → Y) (hG : Continuous G) (x₀ : X) {ε : ℝ} (hε : 0 < ε) : | |
| ∃ s : Finset ι, ∃ δ : ι → ℝ, (∀ i, 0 < δ i) ∧ | |
| ∀ x, (∀ i ∈ s, dist (F i x) (F i x₀) < δ i) → dist (G x) (G x₀) < ε := by | |
| classical | |
| let E : X → (ι → ℝ) := fun x i => F i x | |
| have hE : Continuous E := continuous_pi hF | |
| have he : Function.Injective E := fun x y h => hsep x y (congrFun h) | |
| have hi := (hE.isClosedEmbedding he).isEmbedding.isInducing | |
| have hu : G ⁻¹' Metric.ball (G x₀) ε ∈ 𝓝 x₀ := | |
| hG.continuousAt.preimage_mem_nhds (Metric.ball_mem_nhds _ hε) | |
| rw [hi.nhds_eq_comap] at hu | |
| obtain ⟨V,hV,hVU⟩ := Filter.mem_comap.mp hu | |
| rw [nhds_pi] at hV | |
| obtain ⟨s,W,hW,hWV⟩ := Filter.mem_pi'.mp hV | |
| choose δ hδ hd using fun i => Metric.mem_nhds_iff.mp (hW i) | |
| refine ⟨s,δ,hδ,fun x hx => ?_⟩ | |
| apply hVU | |
| apply hWV | |
| intro i hi' | |
| exact hd i (hx i hi') | |
| end InvariantIsing | |
| end | |
| end OAI | |