Download lean/OAI/Geometry/RCD/Metric/CommonDensityMinorization.lean from roseking/openAI-math-dataset: direct link, hf CLI and curl.
- Browser
- Download file 2.97 kB
-
https://huggingface.co/datasets/roseking/openAI-math-dataset/resolve/main/lean/OAI/Geometry/RCD/Metric/CommonDensityMinorization.lean
- Command line
-
hf download hf://datasets/roseking/openAI-math-dataset/lean/OAI/Geometry/RCD/Metric/CommonDensityMinorization.lean
-
curl -L -o CommonDensityMinorization.lean https://huggingface.co/datasets/roseking/openAI-math-dataset/resolve/main/lean/OAI/Geometry/RCD/Metric/CommonDensityMinorization.lean
2.97 kB
| import Mathlib.MeasureTheory.Integral.Bochner.Basic | |
| namespace OAI | |
| /-! # A common density gives a strict oscillation bound for weighted means | |
| This is the scalar estimate for the derivative of two positive-kernel | |
| log transforms. All densities and products are integrated explicitly. | |
| -/ | |
| open Set Filter MeasureTheory | |
| noncomputable section | |
| namespace RegularPointCoordinates | |
| variable {Y : Type*} [MeasurableSpace Y] (μ : Measure Y) | |
| theorem weighted_mean_minorization {r w f : Y → ℝ} {q l u : ℝ} | |
| (hr : Integrable r μ) (hw : Integrable w μ) | |
| (hfr : Integrable (fun x => f x*r x) μ) (hfw : Integrable (fun x => f x*w x) μ) | |
| (hr1 : (∫ x, r x ∂μ)=1) (hw1 : (∫ x, w x ∂μ)=1) | |
| (hmin : ∀ᵐ x ∂μ, q*r x ≤ w x) (hf : ∀ᵐ x ∂μ, l ≤ f x ∧ f x ≤ u) : | |
| q*(∫ x, f x*r x ∂μ)+(1-q)*l ≤ ∫ x, f x*w x ∂μ ∧ | |
| (∫ x, f x*w x ∂μ) ≤ q*(∫ x, f x*r x ∂μ)+(1-q)*u := by | |
| let d := fun x => w x-q*r x | |
| have hd : Integrable d μ := hw.sub (hr.const_mul q) | |
| have hfd : Integrable (fun x => f x*d x) μ := by | |
| convert hfw.sub (hfr.const_mul q) using 1 | |
| funext x | |
| change f x * (w x - q * r x) = f x * w x - q * (f x * r x) | |
| ring | |
| have hdint : (∫ x, d x ∂μ)=1-q := by | |
| rw [integral_sub hw (hr.const_mul q),integral_const_mul,hr1,hw1,mul_one] | |
| have hfdint : (∫ x, f x*d x ∂μ) = (∫ x, f x*w x ∂μ)-q*(∫ x, f x*r x ∂μ) := by | |
| have he : (fun x => f x*d x) = (fun x => f x*w x - q*(f x*r x)) := by | |
| funext x | |
| dsimp only [d] | |
| ring | |
| rw [he,integral_sub hfw (hfr.const_mul q),integral_const_mul] | |
| have hlo : (∫ x, l*d x ∂μ) ≤ ∫ x, f x*d x ∂μ := by | |
| apply integral_mono_ae (hd.const_mul l) hfd | |
| filter_upwards [hmin,hf] with x hx hf | |
| exact mul_le_mul_of_nonneg_right hf.1 (sub_nonneg.mpr hx) | |
| have hhi : (∫ x, f x*d x ∂μ) ≤ ∫ x, u*d x ∂μ := by | |
| apply integral_mono_ae hfd (hd.const_mul u) | |
| filter_upwards [hmin,hf] with x hx hf | |
| exact mul_le_mul_of_nonneg_right hf.2 (sub_nonneg.mpr hx) | |
| rw [integral_const_mul,hdint,hfdint] at hlo hhi | |
| constructor <;> linarith only [hlo,hhi] | |
| theorem common_density_mean_difference {r w v f : Y → ℝ} {q l u : ℝ} | |
| (hr : Integrable r μ) (hw : Integrable w μ) (hv : Integrable v μ) | |
| (hfr : Integrable (fun x => f x*r x) μ) (hfw : Integrable (fun x => f x*w x) μ) | |
| (hfv : Integrable (fun x => f x*v x) μ) | |
| (hr1 : (∫ x, r x ∂μ)=1) (hw1 : (∫ x, w x ∂μ)=1) (hv1 : (∫ x, v x ∂μ)=1) | |
| (hwmin : ∀ᵐ x ∂μ, q*r x ≤ w x) (hvmin : ∀ᵐ x ∂μ, q*r x ≤ v x) | |
| (hf : ∀ᵐ x ∂μ, l ≤ f x ∧ f x ≤ u) : | |
| |(∫ x, f x*w x ∂μ)-(∫ x, f x*v x ∂μ)| ≤ (1-q)*(u-l) := by | |
| have hW := weighted_mean_minorization μ hr hw hfr hfw hr1 hw1 hwmin hf | |
| have hV := weighted_mean_minorization μ hr hv hfr hfv hr1 hv1 hvmin hf | |
| apply abs_le.mpr | |
| constructor <;> nlinarith only [hW.1,hW.2,hV.1,hV.2] | |
| end RegularPointCoordinates | |
| end | |
| end OAI | |