Download lean/OAI/Probability/SKBarriers/Scalar/OverlapModulus.lean from roseking/openAI-math-dataset: direct link, hf CLI and curl.
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2.87 kB
| import Mathlib | |
| import OAI.Probability.SKBarriers.Parisi.QuantileTransport | |
| import OAI.Probability.SKBarriers.Parisi.CDFOverlapConvergence | |
| namespace OAI | |
| section | |
| noncomputable section | |
| open scoped NNReal Topology BigOperators | |
| open MeasureTheory ProbabilityTheory Filter Set | |
| namespace SK.Analytic | |
| theorem scalarOverlapModulus_continuous (β h : ℝ) : | |
| Continuous (fun D : ℝ => scalarOverlapModulus β D h) := by | |
| unfold scalarOverlapModulus | |
| fun_prop | |
| theorem scalarOverlapModulus_mono (β : ℝ) {h : ℝ} (hh : 0≤h) : | |
| Monotone (fun D : ℝ => scalarOverlapModulus β D h) := by | |
| intro D E hDE | |
| unfold scalarOverlapModulus | |
| have hc : 0≤4*scalarTimeMassConstant β+2*scalarTimeMassConstantK β 3 := | |
| add_nonneg (mul_nonneg (by norm_num) (scalarTimeMassConstant_nonneg β)) | |
| (mul_nonneg (by norm_num) (scalarTimeMassConstantK_nonneg β 3)) | |
| apply add_le_add | |
| · exact add_le_add (div_le_div_of_nonneg_right (mul_le_mul_of_nonneg_left hDE hc) hh) le_rfl | |
| · apply mul_le_mul_of_nonneg_left _ (by norm_num) | |
| apply sub_le_sub_right | |
| apply Real.exp_le_exp.mpr | |
| exact mul_le_mul_of_nonneg_left (mul_le_mul_of_nonneg_left hDE (scalarTimeMassConstant_nonneg β)) (by norm_num) | |
| theorem scalarOverlapModulus_nonneg (β : ℝ) {D h : ℝ} (hD : 0≤D) (hh : 0≤h) : | |
| 0 ≤ scalarOverlapModulus β D h := by | |
| have H := scalarOverlapModulus_mono β hh hD | |
| simp only [scalarOverlapModulus,mul_zero,zero_div,Real.exp_zero,sub_self,add_zero,zero_add] at H | |
| exact (mul_nonneg (by norm_num : (0:ℝ)≤12) hh).trans H | |
| theorem quantileCDF_segment_distance {k : ℕ} (A B : Fin (k+1) → ℝ) | |
| (hA : A∈admissibleQuantiles k) (hB : B∈admissibleQuantiles k) | |
| {t : ℝ} (ht : t∈Icc (0:ℝ) 1) | |
| (hQ : (1-t) • A+t • B∈admissibleQuantiles k) : | |
| cdfDistance (quantileCDF k ((1-t) • A+t • B)) (quantileCDF k A)= | |
| t*cdfDistance (quantileCDF k B) (quantileCDF k A) := by | |
| rw [cdfDistance,cdfDistance,quantileCDF_L1_eq _ _ hQ hA,quantileCDF_L1_eq _ _ hB hA,Finset.mul_sum] | |
| apply Finset.sum_congr rfl | |
| intro j _ | |
| have he : ((1-t) • A+t • B) j-A j=t*(B j-A j) := by | |
| simp only [Pi.add_apply,Pi.smul_apply,smul_eq_mul]; ring | |
| rw [he,abs_mul,abs_of_nonneg ht.1] | |
| ring | |
| def cdfGradientTest (β : ℝ) (α : ℝ → ℝ) (s : ℝ) : ℝ := | |
| s-scalarCDFOverlap β α (projIcc 0 1 (by norm_num) s) | |
| theorem cdfGradientTest_continuous {β : ℝ} {α : ℝ → ℝ} | |
| (hΓ : ContinuousOn (scalarCDFOverlap β α) (Icc (0:ℝ) 1)) : | |
| Continuous (cdfGradientTest β α) := | |
| continuous_id.sub ((continuousOn_iff_continuous_domRestrict.mp hΓ).comp continuous_projIcc) | |
| theorem cdfGradientTest_eq {β : ℝ} {α : ℝ → ℝ} {s : ℝ} (hs : s∈Icc (0:ℝ) 1) : | |
| cdfGradientTest β α s=s-scalarCDFOverlap β α s := by | |
| simp only [cdfGradientTest,projIcc_of_mem _ hs] | |
| end SK.Analytic | |
| end | |
| end | |
| end OAI | |