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