Download lean/OAI/Probability/SKGap/Stability/ConditionalStability.lean from roseking/openAI-math-dataset: direct link, hf CLI and curl.
- Browser
- Download file 2.62 kB
-
https://huggingface.co/datasets/roseking/openAI-math-dataset/resolve/main/lean/OAI/Probability/SKGap/Stability/ConditionalStability.lean
- Command line
-
hf download hf://datasets/roseking/openAI-math-dataset/lean/OAI/Probability/SKGap/Stability/ConditionalStability.lean
-
curl -L -o ConditionalStability.lean https://huggingface.co/datasets/roseking/openAI-math-dataset/resolve/main/lean/OAI/Probability/SKGap/Stability/ConditionalStability.lean
2.62 kB
| import Mathlib | |
| import OAI.Probability.SKGap.Localization.ConditionalWellDefined | |
| import OAI.Probability.SKGap.Localization.ConditionalHessianLaw | |
| import OAI.Probability.SKGap.Gaussian.GaussianTiltMass | |
| namespace OAI | |
| section | |
| noncomputable section | |
| namespace SKGap | |
| open Matrix Real Set MeasureTheory ProbabilityTheory | |
| open scoped BigOperators Matrix.Norms.Frobenius ENNReal | |
| theorem conditional_field_stability {j A R t0 T : ℝ} | |
| (hj : 0 < j) (hj1 : j < 1) (hA : 1 ≤ A) (hsub : sqrt j*A < 1) | |
| (hR : 0 ≤ R) (ht0 : 0 < t0) : | |
| ∃ m ν σ0 : ℝ, 0 < m ∧ 0 < ν ∧ 0 < σ0 ∧ | |
| ∃ U : Set (ScalarTimeDomain R t0 T), IsOpen U ∧ scalarEqualitySet j R t0 T ⊆ U ∧ | |
| ∀ R1 : ℝ, 1 ≤ R1 → ∃ ε c : ℝ, ∃ N : ℕ, 0 < ε ∧ 0 < c ∧ 0 < N ∧ | |
| ∀ (n : ℕ) [NeZero n], N ≤ n → ∀ x ∈ U, ∀ y : Fin n → ℝ, | |
| empiricalLaw y=(x.1 : ProbabilityMeasure ℝ) → | |
| (∑ i,if R1 < |y i| then y i^2 else 0) ≤ ν*(n:ℝ) → | |
| ∀ σ : ℝ, |σ| ≤ σ0 → | |
| (conditionalGoeLaw (j/(n:ℝ)) ((x.2:ℝ)+σ^2) (magnetization y) | |
| (empiricalObservation j x.2 σ y)).real | |
| {W | ((fun i k=>W (i,k)),y) ∈ badFieldSet n j A ε m} ≤ exp (-c*(n:ℝ)) := by | |
| obtain ⟨m,ν,σ0,hm,hν,hσ0,U,hU,hKU,hbound⟩ := | |
| conditional_empirical_simultaneous (T := T) hj hj1 hA hsub hR ht0 | |
| let V : Set (ScalarTimeDomain R t0 T) := {x | 0 < scalarQMoment (x.1:ProbabilityMeasure ℝ)} | |
| have hV : IsOpen V := isOpen_lt continuous_const | |
| (continuous_scalarQMoment.comp (continuous_subtype_val.comp continuous_fst)) | |
| have hKV : scalarEqualitySet j R t0 T ⊆ V := by | |
| intro x hx | |
| change 0 < scalarQMoment (x.1:ProbabilityMeasure ℝ) | |
| rw [hx,scalarQMoment_curve hj hj1 (ht0.le.trans x.2.2.1)] | |
| exact (scalar_fixed_pos hj hj1 (ht0.trans_le x.2.2.1)).2 | |
| refine ⟨m/2,ν,σ0,half_pos hm,hν,hσ0,U∩V,hU.inter hV,fun x hx=>⟨hKU hx,hKV hx⟩,?_⟩ | |
| intro R1 hR1 | |
| obtain ⟨ε,c,N,hε,hc,hN,hb⟩ := hbound R1 hR1 | |
| obtain ⟨M,hM⟩ := absorb_finite_exponential_factor 103 (half_pos hc) | |
| refine ⟨ε,c/2,max N M,hε,half_pos hc,lt_of_lt_of_le hN (le_max_left _ _),?_⟩ | |
| intro n _ hn x hx y hP hy σ hσ | |
| have hq : 0 < scalarQMoment (empiricalLaw y) := by rw [hP]; exact hx.2 | |
| apply (conditional_bad_le_freshbad hj.le (ht0.trans_le x.2.2.1) (by linarith : m/2 < m) y hq).trans | |
| apply (hb n ((le_max_left N M).trans hn) x hx.1 y hP hy σ hσ).trans | |
| simpa only [Nat.cast_ofNat,show (n:ℝ)*(-c)= -c*(n:ℝ) from by ring, | |
| show (n:ℝ)*(-c+c/2)= -(c/2)*(n:ℝ) from by ring] using | |
| hM n ((le_max_right N M).trans hn) (-c) | |
| end SKGap | |
| end | |
| end | |
| end OAI | |