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Add lean source and binary files (part 128)
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import Mathlib
import OAI.Probability.SKRatio.Dynamics.StepMass
namespace OAI
section
noncomputable section
open scoped BigOperators
open Filter MeasureTheory ProbabilityTheory
open scoped Topology NNReal ENNReal
open Filter MeasureTheory ProbabilityTheory
open scoped Topology NNReal ENNReal
open MeasureTheory Filter
open scoped Topology NNReal ENNReal
open MeasureTheory Filter ProbabilityTheory
open scoped Topology NNReal ENNReal
open MeasureTheory Filter
open scoped Topology
open MeasureTheory Filter ProbabilityTheory
open scoped Topology NNReal ENNReal
namespace SKRatioClock.Clock
lemma measurable_stepMass (p : ℕ → ℝ) : Measurable (stepMass p) := by
unfold stepMass
exact Measurable.tsum (fun _ => measurable_const.indicator measurableSet_Ico)
lemma stepMass_abs_le {a : ℕ → ℝ} {B : ℝ} (hB : 0 ≤ B) (ha : ∀ j, |a j| ≤ B)
(x : ℝ) : |stepMass a x| ≤ B := by
by_cases hx : 0 ≤ x
· rw [stepMass_of_nonneg _ hx]
exact ha _
· rw [stepMass_of_neg _ (lt_of_not_ge hx),abs_zero]
exact hB
lemma stepMass_mul (p a : ℕ → ℝ) (x : ℝ) :
stepMass p x*stepMass a x=stepMass (fun j => p j*a j) x := by
by_cases hx : 0 ≤ x
· simp only [stepMass_of_nonneg _ hx]
· simp only [stepMass_of_neg _ (lt_of_not_ge hx),mul_zero]
lemma summable_mul_bounded {p a : ℕ → ℝ} {B : ℝ} (hp : Summable p)
(ha : ∀ j, |a j| ≤ B) : Summable (fun j => p j*a j) := by
apply Summable.of_norm_bounded (hp.abs.mul_right B)
intro j
simpa only [Real.norm_eq_abs,abs_mul] using mul_le_mul_of_nonneg_left (ha j) (abs_nonneg (p j))
lemma integral_histogram_summable {p : ℕ → ℝ} (hp : Summable p) (q : ℝ) {n : ℕ}
(hn : 0 < n) : ∫ x : ℝ, histogram q n p x = ∑' j, p j := by
have hs : Real.sqrt (n:ℝ) ≠ 0 := by positivity
unfold histogram
rw [integral_const_mul]
have hh : (fun x : ℝ => stepMass p (q*n+x*Real.sqrt n)) =
(fun x : ℝ => (fun t => stepMass p (t+q*n)) (Real.sqrt n*x)) := by
ext x
congr 1
ring
rw [hh,Measure.integral_comp_mul_left (fun t : ℝ => stepMass p (t+q*n))
(Real.sqrt (n:ℝ)),integral_add_right_eq_self,integral_stepMass hp,smul_eq_mul,
abs_of_nonneg (inv_nonneg.mpr (Real.sqrt_nonneg _)),← mul_assoc,mul_inv_cancel₀ hs,one_mul]
noncomputable def testHistogram (q : ℝ) (n : ℕ) (a : ℕ → ℝ) (x : ℝ) : ℝ :=
stepMass a (q*n+x*Real.sqrt n)
lemma measurable_testHistogram (q : ℝ) (n : ℕ) (a : ℕ → ℝ) :
Measurable (testHistogram q n a) := by
apply (measurable_stepMass a).comp
fun_prop
lemma testHistogram_bound {a : ℕ → ℝ} {B : ℝ} (hB : 0 ≤ B) (ha : ∀ j, |a j| ≤ B)
(q : ℝ) (n : ℕ) (x : ℝ) : |testHistogram q n a x| ≤ B :=
stepMass_abs_le hB ha _
lemma integral_histogram_test {p a : ℕ → ℝ} {B : ℝ} (hp : Summable p)
(ha : ∀ j, |a j| ≤ B) (q : ℝ) {n : ℕ} (hn : 0 < n) :
(∫ x : ℝ, histogram q n p x*testHistogram q n a x) = ∑' j, p j*a j := by
have he (x : ℝ) : histogram q n p x*testHistogram q n a x =
histogram q n (fun j => p j*a j) x := by
unfold histogram testHistogram
rw [mul_assoc,stepMass_mul]
simp_rw [he]
exact integral_histogram_summable (summable_mul_bounded hp ha) q hn
end SKRatioClock.Clock
open MeasureTheory Filter ProbabilityTheory
open scoped Topology NNReal ENNReal
end
end
end OAI