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Add lean source and binary files (part 17)
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import OAI.Analysis.FiniteFactor.Coupling.Density
import OAI.Analysis.FiniteFactor.Coupling.Parameters
import Mathlib.MeasureTheory.Function.L2Space
namespace OAI
namespace FiniteFactor
open MeasureTheory
noncomputable section
variable {X : Type*} [MeasurableSpace X] {μ : Measure X} [IsProbabilityMeasure μ]
variable {ι : Type*} [Fintype ι]
def mixtureDensity (q : ℝ) (π : ι → ℝ) (d : ι → X → ℝ) (x : X) : ℝ :=
q + ∑ i, π i * d i x
theorem mixtureDensity_memLp (q : ℝ) (π : ι → ℝ) (d : ι → X → ℝ)
(hd : ∀ i, MemLp (d i) 2 μ) : MemLp (mixtureDensity q π d) 2 μ :=
(memLp_const q).add (memLp_finsetSum Finset.univ (fun i _ => (hd i).const_mul (π i)))
theorem mixtureDensity_integral (q : ℝ) (π : ι → ℝ) (d : ι → X → ℝ)
(hd : ∀ i, Integrable (d i) μ) (hm : ∀ i, ∫ x, d i x ∂μ = 1)
(hπ : q + ∑ i, π i = 1) : ∫ x, mixtureDensity q π d x ∂μ = 1 := by
have hi := integral_add (integrable_const q)
(integrable_finsetSum Finset.univ (fun i _ => (hd i).const_mul (π i)))
unfold mixtureDensity
rw [hi, integral_finsetSum Finset.univ (fun i _ => (hd i).const_mul (π i))]
simp_rw [integral_const_mul, hm, mul_one]
simpa using hπ
theorem mixtureDensity_energy_le (q : ℝ) (π : ι → ℝ) (d : ι → X → ℝ)
(hd : ∀ i, MemLp (d i) 2 μ) (hm : ∀ i, ∫ x, d i x ∂μ = 1)
(hπ : q + ∑ i, π i = 1) (E : ι → ℝ)
(hE : ∀ i, (∫ x, (d i x - 1)^2 ∂μ) ≤ E i) :
(∫ x, mixtureDensity q π d x ^ 2 ∂μ) ≤
1 + (Fintype.card ι : ℝ) * ∑ i, (π i)^2 * E i := by
classical
have hd1 (i) : Integrable (d i) μ := (hd i).integrable (by norm_num)
have hh := mixtureDensity_memLp q π d hd
have hm' := mixtureDensity_integral q π d hd1 hm hπ
have heq (x : X) : mixtureDensity q π d x - 1 = ∑ i, π i * (d i x - 1) := by
simp only [mixtureDensity, mul_sub, mul_one, Finset.sum_sub_distrib]
linarith
have hbound (x : X) : (mixtureDensity q π d x - 1)^2 ≤
(Fintype.card ι : ℝ) * ∑ i, (π i)^2 * (d i x - 1)^2 := by
rw [heq]
simpa [mul_pow] using
(sq_sum_le_card_mul_sum_sq (s := Finset.univ) (f := fun i => π i * (d i x - 1)))
have hsub (i) : MemLp (fun x => d i x - 1) 2 μ := (hd i).sub (memLp_const 1)
have his (i) : Integrable (fun x => (π i)^2 * (d i x - 1)^2) μ :=
(hsub i).integrable_sq.const_mul _
have hi := integral_mono ((hh.sub (memLp_const 1)).integrable_sq)
((integrable_finsetSum Finset.univ (fun i _ => his i)).const_mul (Fintype.card ι : ℝ)) hbound
rw [integral_const_mul, integral_finsetSum Finset.univ (fun i _ => his i)] at hi
simp_rw [integral_const_mul] at hi
have hsum : (∑ i, (π i)^2 * ∫ x, (d i x - 1)^2 ∂μ) ≤ ∑ i, (π i)^2 * E i := by
exact Finset.sum_le_sum fun i _ => mul_le_mul_of_nonneg_left (hE i) (sq_nonneg _)
have he := density_energy_identity (hh.integrable (by norm_num)) hh.integrable_sq hm'
have hc := mul_le_mul_of_nonneg_left hsum (Nat.cast_nonneg (Fintype.card ι) : (0 : ℝ) ≤ _)
dsimp only [Pi.sub_apply] at hi
linarith
def unitIntervalMeasure : Measure ℝ := volume.restrict (Set.Ico 0 1)
instance : IsProbabilityMeasure unitIntervalMeasure := by
constructor
simp [unitIntervalMeasure, Real.volume_Ico]
theorem unitIntervalMeasure_interval {a b : ℝ} (ha : 0 ≤ a) (hab : a ≤ b) (hb : b ≤ 1) :
unitIntervalMeasure.real (Set.Ico a b) = b-a := by
rw [unitIntervalMeasure, measureReal_restrict_apply measurableSet_Ico,
Set.inter_eq_left.mpr (Set.Ico_subset_Ico ha hb), Real.volume_real_Ico_of_le hab]
namespace CouplingParameters
variable (p : CouplingParameters)
def endpointLength (right : Bool) (i : Fin 5) : ℝ :=
if right then p.rightLength i else p.leftLength i
def endpointInterval (right : Bool) (i : Fin 5) : Set ℝ :=
if right then Set.Ico (1-p.rightLength i) 1 else Set.Ico 0 (p.leftLength i)
def endpointComponentDensity (right : Bool) (i : Fin 5) : ℝ → ℝ :=
intervalDensity (p.endpointInterval right i) (p.endpointLength right i)
def endpointDensity (right : Bool) : ℝ → ℝ :=
mixtureDensity p.diagonalMass p.replacementMass (p.endpointComponentDensity right)
theorem endpointLength_pos (right : Bool) (i : Fin 5) : 0 < p.endpointLength right i := by
cases right <;> simp [endpointLength, leftLength_pos, rightLength_pos]
theorem endpointLength_le (right : Bool) (i : Fin 5) : p.endpointLength right i ≤ 1 := by
have := p.lengths_sum_le i
have := p.leftLength_pos i
have := p.rightLength_pos i
cases right <;> simp [endpointLength] <;> linarith
theorem endpointInterval_measurable (right : Bool) (i : Fin 5) :
MeasurableSet (p.endpointInterval right i) := by
cases right <;> exact measurableSet_Ico
theorem endpointInterval_mass (right : Bool) (i : Fin 5) :
unitIntervalMeasure.real (p.endpointInterval right i) = p.endpointLength right i := by
have hpos := p.endpointLength_pos right i
have hle := p.endpointLength_le right i
cases right
· simpa [endpointInterval, endpointLength] using
unitIntervalMeasure_interval (a := 0) (by norm_num) hpos.le hle
· have h₀ : 0 ≤ 1-p.rightLength i := by simpa [endpointLength] using sub_nonneg.mpr hle
have h₁ : 1-p.rightLength i ≤ 1 := by have := p.rightLength_pos i; linarith
simpa [endpointInterval, endpointLength] using
unitIntervalMeasure_interval h₀ h₁ le_rfl
theorem endpointDensity_memLp (right : Bool) : MemLp (p.endpointDensity right) 2 unitIntervalMeasure := by
apply mixtureDensity_memLp
intro i
exact (memLp_const _).indicator (p.endpointInterval_measurable right i)
theorem endpointDensity_integral (right : Bool) :
∫ t, p.endpointDensity right t ∂unitIntervalMeasure = 1 := by
apply mixtureDensity_integral
· intro i
exact intervalDensity_integrable (p.endpointInterval_measurable right i) _
· intro i
exact intervalDensity_integral (p.endpointInterval_measurable right i)
(p.endpointLength_pos right i) (p.endpointInterval_mass right i)
· exact p.mass_sum
theorem endpointDensity_lower (right : Bool) (t : ℝ) :
p.diagonalMass ≤ p.endpointDensity right t := by
apply le_add_of_nonneg_right
exact Finset.sum_nonneg fun i _ => mul_nonneg (p.replacementMass_nonneg i)
(intervalDensity_nonneg (p.endpointLength_pos right i).le t)
end CouplingParameters
end
end FiniteFactor
end OAI