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Add lean source and binary files (part 122)
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import Mathlib.Probability.Distributions.Gamma
import Mathlib.MeasureTheory.Measure.WithDensity
import Mathlib.MeasureTheory.Measure.Lebesgue.Basic
import Mathlib.Topology.Order.IntermediateValue
import Mathlib.Tactic.Linarith
namespace OAI
namespace GammaFPP
open MeasureTheory ProbabilityTheory Set Filter
open scoped Topology
variable {shape rate : ℝ}
lemma gamma_nullSingleton : NullSingletonClass (gammaMeasure shape rate) := by
unfold gammaMeasure
infer_instance
lemma gamma_cdf_continuous (hs : 0 < shape) (hr : 0 < rate) :
Continuous (cdf (gammaMeasure shape rate)) := by
let := isProbabilityMeasure_gammaMeasure hs hr
let := gamma_nullSingleton (shape := shape) (rate := rate)
apply continuous_iff_continuousAt.mpr
intro x
apply (monotone_cdf (gammaMeasure shape rate)).continuousAt_iff_leftLim_eq_rightLim.mpr
rw [StieltjesFunction.rightLim_eq]
have hzero : ENNReal.ofReal (cdf (gammaMeasure shape rate) x -
Function.leftLim (cdf (gammaMeasure shape rate)) x) = 0 := by
rw [← StieltjesFunction.measure_singleton, measure_cdf, measure_singleton]
have hle := ENNReal.ofReal_eq_zero.mp hzero
have hother := (monotone_cdf (gammaMeasure shape rate)).leftLim_le (le_refl x)
linarith
lemma gamma_Ioc_pos (hs : 0 < shape) (hr : 0 < rate)
{x y : ℝ} (hx : 0 ≤ x) (hxy : x < y) :
0 < gammaMeasure shape rate (Ioc x y) := by
have hmeas : Measurable (gammaPDF shape rate) :=
(measurable_gammaPDFReal shape rate).ennreal_ofReal
have hsupport : {z | gammaPDF shape rate z ≠ 0} ∩ Ioc x y = Ioc x y := by
ext z
constructor
· exact fun h => h.2
· intro hz
refine ⟨?_, hz⟩
exact ne_of_gt (ENNReal.ofReal_pos.mpr
(gammaPDFReal_pos hs hr (lt_of_le_of_lt hx hz.1)))
apply pos_iff_ne_zero.mpr
intro hz
have hv := (withDensity_apply_eq_zero hmeas).mp hz
rw [hsupport, Real.volume_Ioc, ENNReal.ofReal_eq_zero] at hv
linarith
lemma gamma_cdf_strictMonoOn (hs : 0 < shape) (hr : 0 < rate) :
StrictMonoOn (cdf (gammaMeasure shape rate)) (Ici 0) := by
let := isProbabilityMeasure_gammaMeasure hs hr
intro x hx y _ hxy
have hp := gamma_Ioc_pos hs hr hx hxy
rw [← measure_cdf (gammaMeasure shape rate), StieltjesFunction.measure_Ioc,
ENNReal.ofReal_pos] at hp
exact sub_pos.mp hp
lemma gamma_cdf_zero (hs : 0 < shape) (hr : 0 < rate) :
cdf (gammaMeasure shape rate) 0 = 0 := by
let := isProbabilityMeasure_gammaMeasure hs hr
let := gamma_nullSingleton (shape := shape) (rate := rate)
have he : gammaMeasure shape rate (Iic 0) = gammaMeasure shape rate (Iio 0) :=
(measure_congr Iio_ae_eq_Iic).symm
have hz : gammaMeasure shape rate (Iio 0) = 0 := by
rw [gammaMeasure, withDensity_apply _ measurableSet_Iio]
exact lintegral_gammaPDF_of_nonpos (le_refl 0)
rw [cdf_eq_real, measureReal_def, he, hz, ENNReal.toReal_zero]
lemma gamma_cdf_lt_one (hs : 0 < shape) (hr : 0 < rate)
{x : ℝ} (hx : 0 ≤ x) : cdf (gammaMeasure shape rate) x < 1 := by
have hlt := gamma_cdf_strictMonoOn hs hr hx
(show 0 ≤ x + 1 by linarith) (show x < x + 1 by linarith)
exact hlt.trans_le (cdf_le_one (gammaMeasure shape rate) (x + 1))
/-- Every `u ∈ [0, 1)` has a unique nonnegative Gamma quantile. -/
lemma gamma_cdf_existsUnique (hs : 0 < shape) (hr : 0 < rate)
{u : ℝ} (hu : 0 ≤ u) (hu1 : u < 1) :
∃! x : ℝ, 0 ≤ x ∧ cdf (gammaMeasure shape rate) x = u := by
have hev : ∀ᶠ b : ℝ in atTop, 0 ≤ b ∧ u < cdf (gammaMeasure shape rate) b := by
filter_upwards [eventually_ge_atTop (0 : ℝ),
(tendsto_cdf_atTop (gammaMeasure shape rate)).eventually (Ioi_mem_nhds hu1)]
with b hb hbu
exact ⟨hb, hbu⟩
obtain ⟨b, hb, hbu⟩ := hev.exists
have hu0 : cdf (gammaMeasure shape rate) 0 ≤ u := by
rw [gamma_cdf_zero hs hr]
exact hu
obtain ⟨x, hx, hxu⟩ := intermediate_value_Icc hb
(gamma_cdf_continuous hs hr).continuousOn ⟨hu0, hbu.le⟩
refine ⟨x, ⟨hx.1, hxu⟩, ?_⟩
intro y hy
exact (gamma_cdf_strictMonoOn hs hr).injOn hy.1 hx.1 (hy.2.trans hxu.symm)
end GammaFPP
end OAI