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import OAI.MathematicalPhysics.Boltzmann.Branching.BoundedCollisionBlocks
import OAI.MathematicalPhysics.Boltzmann.Compactness.WeakL1ToWeakStar
import Mathlib.MeasureTheory.Integral.Prod
namespace OAI
section
/-! # Positive integral contraction along measurable characteristics
This lemma constructs a fixed point of a bounded positive source map.
The collision source and its quantitative estimates are supplied separately.
-/
noncomputable section
open MeasureTheory Set
open scoped Topology
namespace BoltzmannNonuniqueness.PositiveIntegral
variable {P : Type*} [MeasurableSpace P]
abbrev Domain (P : Type*) := ℝ × P
def time (T t : ℝ) : ℝ := max 0 (min T t)
theorem time_bounds {T : ℝ} (hT : 0 ≤ T) (t : ℝ) :
0 ≤ time T t ∧ time T t ≤ T :=
⟨le_max_left _ _, max_le hT (min_le_left _ _)⟩
def value (T L : ℝ) (flow : ℝ → P → P) (f₀ : P → ℝ)
(g : Domain P → ℝ) (z : Domain P) : ℝ :=
Real.exp (-L * time T z.1) * f₀ (flow (-time T z.1) z.2) +
∫ r in 0..time T z.1,
Real.exp (-L * (time T z.1 - r)) * g (r, flow (r - time T z.1) z.2)
theorem measurable_value {T L : ℝ} (hT : 0 ≤ T) {flow : ℝ → P → P}
(hflow : Measurable (fun z : ℝ × P => flow z.1 z.2))
{f₀ : P → ℝ} (hf₀ : Measurable f₀) {g : Domain P → ℝ} (hg : Measurable g) :
Measurable (value T L flow f₀ g) := by
have ht : Measurable (fun z : Domain P => time T z.1) := by unfold time; fun_prop
have hm : Measurable (fun z : Domain P =>
∫ r : ℝ, if 0 < r ∧ r ≤ time T z.1 then
Real.exp (-L * (time T z.1 - r)) * g (r, flow (r - time T z.1) z.2) else 0) := by
apply StronglyMeasurable.measurable
apply StronglyMeasurable.integral_prod_right
apply Measurable.stronglyMeasurable
have hfl : Measurable (fun q : Domain P × ℝ => flow (q.2 - time T q.1.1) q.1.2) :=
hflow.comp ((measurable_snd.sub (ht.comp measurable_fst)).prodMk measurable_fst.snd)
apply Measurable.ite
· exact (measurableSet_lt measurable_const measurable_snd).inter
(measurableSet_le measurable_snd (ht.comp measurable_fst))
· have he : Measurable (fun q : Domain P × ℝ => Real.exp (-L * (time T q.1.1 - q.2))) := by
unfold time
fun_prop
exact he.mul (hg.comp (measurable_snd.prodMk hfl))
· exact measurable_const
have he (z : Domain P) : (∫ r in 0..time T z.1,
Real.exp (-L * (time T z.1 - r)) * g (r, flow (r - time T z.1) z.2)) =
∫ r : ℝ, if 0 < r ∧ r ≤ time T z.1 then
Real.exp (-L * (time T z.1 - r)) * g (r, flow (r - time T z.1) z.2) else 0 := by
rw [intervalIntegral.integral_of_le (time_bounds hT z.1).1, ← integral_indicator measurableSet_Ioc]
apply integral_congr_ae
exact ae_of_all _ (fun r => by simp only [Set.indicator_apply, Set.mem_Ioc])
unfold value
simp_rw [he]
have he : Measurable (fun z : Domain P => Real.exp (-L * time T z.1)) := by
unfold time
fun_prop
exact (he.mul (hf₀.comp (hflow.comp ((ht.neg).prodMk measurable_snd)))).add hm
omit [MeasurableSpace P] in
theorem value_bounds {T L A S : ℝ} (hT : 0 ≤ T) (hL : 0 ≤ L) (_hA : 0 ≤ A)
(hS : 0 ≤ S) (flow : ℝ → P → P) {f₀ : P → ℝ}
(hf₀ : ∀ p, 0 ≤ f₀ p ∧ f₀ p ≤ A) {g : Domain P → ℝ}
(hg : ∀ z, 0 ≤ g z ∧ g z ≤ S)
(z : Domain P) : 0 ≤ value T L flow f₀ g z ∧ value T L flow f₀ g z ≤ A + T * S := by
have ht := time_bounds hT z.1
have he (r : ℝ) (hr : r ∈ Icc 0 (time T z.1)) :
0 ≤ Real.exp (-L * (time T z.1 - r)) ∧ Real.exp (-L * (time T z.1 - r)) ≤ 1 := by
exact ⟨(Real.exp_pos _).le, Real.exp_le_one_iff.mpr (by nlinarith [hr.2])⟩
have hi : (∫ r in 0..time T z.1,
Real.exp (-L * (time T z.1 - r)) * g (r, flow (r - time T z.1) z.2)) ≤ S * time T z.1 := by
apply (le_abs_self _).trans
have h := intervalIntegral.norm_integral_le_of_norm_le_const (a := 0)
(b := time T z.1) (C := S) (f := fun r =>
Real.exp (-L * (time T z.1 - r)) * g (r, flow (r - time T z.1) z.2))
(fun r hr => by
rw [uIoc_of_le ht.1] at hr
rw [Real.norm_eq_abs, abs_of_nonneg (mul_nonneg (Real.exp_pos _).le (hg _).1)]
exact (mul_le_mul_of_nonneg_right (he r ⟨hr.1.le, hr.2⟩).2 (hg _).1).trans
(by simpa using (hg _).2))
simpa only [Real.norm_eq_abs, sub_zero, abs_of_nonneg ht.1] using h
constructor
· exact add_nonneg (mul_nonneg (Real.exp_pos _).le (hf₀ _).1)
(intervalIntegral.integral_nonneg ht.1 (fun r _ => mul_nonneg (Real.exp_pos _).le (hg _).1))
· have hinit : Real.exp (-L * time T z.1) * f₀ (flow (-time T z.1) z.2) ≤ A :=
(mul_le_mul_of_nonneg_right (Real.exp_le_one_iff.mpr (by nlinarith)) (hf₀ _).1).trans
(by simpa using (hf₀ _).2)
exact (add_le_add hinit hi).trans (by nlinarith)
theorem damped_integrable {T L S : ℝ} (hT : 0 ≤ T) (hL : 0 ≤ L)
{flow : ℝ → P → P} (hflow : Measurable (fun z : ℝ × P => flow z.1 z.2))
{g : Domain P → ℝ} (hgm : Measurable g) (hg : ∀ z, |g z| ≤ S)
(z : Domain P) : IntervalIntegrable (fun r =>
Real.exp (-L * (time T z.1 - r)) * g (r, flow (r - time T z.1) z.2)) volume 0 (time T z.1) := by
apply (intervalIntegrable_const (c := S)).mono_fun'
· have hm : Measurable (fun r : ℝ => flow (r - time T z.1) z.2) :=
hflow.comp ((measurable_id.sub measurable_const).prodMk measurable_const)
have he : Measurable (fun r : ℝ => Real.exp (-L * (time T z.1 - r))) := by fun_prop
exact (he.mul (hgm.comp (measurable_id.prodMk hm))).aestronglyMeasurable
· filter_upwards [ae_restrict_mem measurableSet_uIoc] with r hr
rw [uIoc_of_le (time_bounds hT z.1).1] at hr
rw [Real.norm_eq_abs, abs_mul, abs_of_pos (Real.exp_pos _)]
have he : Real.exp (-L * (time T z.1 - r)) ≤ 1 :=
Real.exp_le_one_iff.mpr (by nlinarith [hr.2])
exact (mul_le_mul_of_nonneg_right he (abs_nonneg _)).trans (by simpa using hg _)
theorem value_difference {T L S D : ℝ} (hT : 0 ≤ T) (hL : 0 ≤ L) (hD : 0 ≤ D)
{flow : ℝ → P → P} (hflow : Measurable (fun z : ℝ × P => flow z.1 z.2))
(f₀ : P → ℝ) {g h : Domain P → ℝ} (hgm : Measurable g) (hhm : Measurable h)
(hg : ∀ z, |g z| ≤ S) (hh : ∀ z, |h z| ≤ S) (hgh : ∀ z, |g z - h z| ≤ D)
(z : Domain P) : |value T L flow f₀ g z - value T L flow f₀ h z| ≤ T * D := by
have ht := time_bounds hT z.1
have hgi := damped_integrable hT hL hflow hgm hg z
have hhi := damped_integrable hT hL hflow hhm hh z
unfold value
rw [add_sub_add_left_eq_sub, ← intervalIntegral.integral_sub hgi hhi]
have hb := intervalIntegral.norm_integral_le_of_norm_le_const (a := 0) (b := time T z.1)
(C := D) (f := fun r =>
Real.exp (-L * (time T z.1 - r)) * g (r, flow (r - time T z.1) z.2) -
Real.exp (-L * (time T z.1 - r)) * h (r, flow (r - time T z.1) z.2))
(fun r hr => by
rw [uIoc_of_le ht.1] at hr
rw [← mul_sub, Real.norm_eq_abs, abs_mul, abs_of_pos (Real.exp_pos _)]
have he : Real.exp (-L * (time T z.1 - r)) ≤ 1 :=
Real.exp_le_one_iff.mpr (by nlinarith [hr.2])
exact (mul_le_mul_of_nonneg_right he (abs_nonneg _)).trans (by simpa using hgh _))
rw [Real.norm_eq_abs, sub_zero, abs_of_nonneg ht.1] at hb
exact hb.trans (by nlinarith)
/-- Positive Picard iteration converges in the complete sup-norm space. -/
theorem exists_fixed_point {T L A R S K : ℝ} (hT : 0 ≤ T) (hL : 0 ≤ L)
(hA : 0 ≤ A) (hR : 0 ≤ R) (hS : 0 ≤ S) (hK : 0 ≤ K)
(hball : A + T * S ≤ R) (hsmall : T * K < 1)
{flow : ℝ → P → P} (hflow : Measurable (fun z : ℝ × P => flow z.1 z.2))
{f₀ : P → ℝ} (hf₀m : Measurable f₀) (hf₀ : ∀ p, 0 ≤ f₀ p ∧ f₀ p ≤ A)
(source : BoundedMeasurable.PositiveBall (Domain P) R → Domain P → ℝ)
(hsm : ∀ f, Measurable (source f))
(hsb : ∀ f z, 0 ≤ source f z ∧ source f z ≤ S)
(hsl : ∀ f g z, |source f z - source g z| ≤ K * dist f g) :
∃ f : BoundedMeasurable.PositiveBall (Domain P) R,
∀ z, f.val z = value T L flow f₀ (source f) z := by
let step : BoundedMeasurable.PositiveBall (Domain P) R →
BoundedMeasurable.PositiveBall (Domain P) R := fun f =>
⟨BoundedMeasurable.ofBounded (Domain P) (value T L flow f₀ (source f))
(measurable_value hT hflow hf₀m (hsm f)) (A + T * S)
(fun z => by
rw [abs_of_nonneg (value_bounds hT hL hA hS flow hf₀ (hsb f) z).1]
exact (value_bounds hT hL hA hS flow hf₀ (hsb f) z).2),
fun z => ⟨(value_bounds hT hL hA hS flow hf₀ (hsb f) z).1,
(value_bounds hT hL hA hS flow hf₀ (hsb f) z).2.trans hball⟩⟩
have hc : ContractingWith ⟨T * K, mul_nonneg hT hK⟩ step := by
constructor
· exact hsmall
· apply LipschitzWith.of_dist_le_mul
intro f g
change dist (step f).val (step g).val ≤ (T * K) * dist f g
apply BoundedMeasurable.dist_le (Domain P) (by positivity)
intro z
have h := value_difference hT hL (mul_nonneg hK dist_nonneg) hflow f₀
(hsm f) (hsm g)
(fun z => by rw [abs_of_nonneg (hsb f z).1]; exact (hsb f z).2)
(fun z => by rw [abs_of_nonneg (hsb g z).1]; exact (hsb g z).2)
(hsl f g) z
simpa only [step, BoundedMeasurable.ofBounded_apply, mul_assoc] using h
let zero : BoundedMeasurable.PositiveBall (Domain P) R :=
⟨BoundedMeasurable.ofBounded (Domain P) (fun _ => 0) measurable_const 0
(fun _ => by simp), fun _ => ⟨le_rfl, hR⟩⟩
let : Nonempty (BoundedMeasurable.PositiveBall (Domain P) R) := ⟨zero⟩
refine ⟨hc.fixedPoint, ?_⟩
intro z
have he := congrArg (fun f : BoundedMeasurable.PositiveBall (Domain P) R => f.val z)
hc.fixedPoint_isFixedPt
exact he.symm
end BoltzmannNonuniqueness.PositiveIntegral
end
end
section
/-! # Order and dominated convergence for positive characteristic integrals -/
noncomputable section
open MeasureTheory Set Filter
open scoped Topology
namespace BoltzmannNonuniqueness.PositiveIntegral
variable {P : Type*} [MeasurableSpace P]
theorem value_mono {T L S : ℝ} (hT : 0 ≤ T) (hL : 0 ≤ L)
{flow : ℝ → P → P} (hflow : Measurable (fun z : ℝ × P => flow z.1 z.2))
{f₀ k₀ : P → ℝ} (hfk : ∀ p, f₀ p ≤ k₀ p)
{g h : Domain P → ℝ} (hgm : Measurable g) (hhm : Measurable h)
(hg : ∀ z, |g z| ≤ S) (hh : ∀ z, |h z| ≤ S) (hgh : ∀ z, g z ≤ h z)
(z : Domain P) : value T L flow f₀ g z ≤ value T L flow k₀ h z := by
apply add_le_add
· exact mul_le_mul_of_nonneg_left (hfk _) (Real.exp_pos _).le
· apply intervalIntegral.integral_mono_on (time_bounds hT z.1).1
(damped_integrable hT hL hflow hgm hg z) (damped_integrable hT hL hflow hhm hh z)
intro r _
exact mul_le_mul_of_nonneg_left (hgh _) (Real.exp_pos _).le
theorem value_tendsto {T L S : ℝ} (hT : 0 ≤ T) (hL : 0 ≤ L)
{flow : ℝ → P → P} (hflow : Measurable (fun z : ℝ × P => flow z.1 z.2))
(f₀ : P → ℝ) {g : ℕ → Domain P → ℝ} {h : Domain P → ℝ}
(hgm : ∀ n, Measurable (g n)) (hg : ∀ n z, |g n z| ≤ S)
(hlim : ∀ z, Tendsto (fun n => g n z) atTop (𝓝 (h z)))
(z : Domain P) : Tendsto (fun n => value T L flow f₀ (g n) z) atTop
(𝓝 (value T L flow f₀ h z)) := by
apply tendsto_const_nhds.add
apply intervalIntegral.tendsto_integral_filter_of_dominated_convergence (fun _ => S)
· exact .of_forall (fun n => (damped_integrable hT hL hflow (hgm n) (hg n) z).def'.aestronglyMeasurable)
· apply Eventually.of_forall
intro n
apply ae_of_all
intro r hr
rw [uIoc_of_le (time_bounds hT z.1).1] at hr
rw [Real.norm_eq_abs, abs_mul, abs_of_pos (Real.exp_pos _)]
have he : Real.exp (-L * (time T z.1 - r)) ≤ 1 := Real.exp_le_one_iff.mpr (by nlinarith [hr.2])
exact (mul_le_mul_of_nonneg_right he (abs_nonneg _)).trans (by simpa using hg n _)
· exact intervalIntegrable_const
· exact ae_of_all _ (fun r _ => tendsto_const_nhds.mul (hlim _))
end BoltzmannNonuniqueness.PositiveIntegral
end
end
section
/-! # Removing the auxiliary exponential weight from a mild solution -/
noncomputable section
open Set
namespace BoltzmannNonuniqueness.PositiveIntegral
variable {P : Type*}
theorem value_rescale {T : ℝ} (hT : 0 ≤ T) (a L : ℝ) (flow : ℝ → P → P)
(f₀ : P → ℝ) (g : Domain P → ℝ) (z : Domain P) :
Real.exp (a*time T z.1) * value T (a+L) flow f₀
(fun w => Real.exp (-a*time T w.1)*g w) z = value T L flow f₀ g z := by
have ht := time_bounds hT z.1
have hi : Real.exp (a*time T z.1)*Real.exp (-(a+L)*time T z.1) =
Real.exp (-L*time T z.1) := by
rw [← Real.exp_add]
congr 1
ring
have he (r : ℝ) : Real.exp (a*time T z.1)*Real.exp (-(a+L)*(time T z.1-r))*Real.exp (-a*r) =
Real.exp (-L*(time T z.1-r)) := by
rw [← Real.exp_add,← Real.exp_add]
congr 1
ring
unfold value
rw [mul_add,← mul_assoc,hi,← intervalIntegral.integral_const_mul]
congr 1
apply intervalIntegral.integral_congr
intro r hr
rw [uIcc_of_le ht.1] at hr
have hrT : r ≤ T := hr.2.trans ht.2
have hrt : time T r = r := by
unfold time
rw [min_eq_right hrT,max_eq_right hr.1]
dsimp only
rw [hrt]
calc
_ = (Real.exp (a*time T z.1)*Real.exp (-(a+L)*(time T z.1-r))*Real.exp (-a*r))*
g (r,flow (r-time T z.1) z.2) := by ring
_ = _ := by rw [he]
end BoltzmannNonuniqueness.PositiveIntegral
end
end
section
/-! # Uniqueness on a common bounded interval for the positive integral map -/
noncomputable section
open MeasureTheory
namespace BoltzmannNonuniqueness.PositiveIntegral
variable {P : Type*} [MeasurableSpace P]
theorem fixed_point_unique {T L R S K : ℝ} (hT : 0 ≤ T) (hL : 0 ≤ L) (hK : 0 ≤ K)
(hsmall : T * K < 1)
{flow : ℝ → P → P} (hflow : Measurable (fun z : ℝ × P => flow z.1 z.2))
(f₀ : P → ℝ)
(source : BoundedMeasurable.PositiveBall (Domain P) R → Domain P → ℝ)
(hsm : ∀ f, Measurable (source f))
(hsb : ∀ f z, |source f z| ≤ S)
(hsl : ∀ f g z, |source f z - source g z| ≤ K * dist f g)
{f g : BoundedMeasurable.PositiveBall (Domain P) R}
(hf : ∀ z, f.val z = value T L flow f₀ (source f) z)
(hg : ∀ z, g.val z = value T L flow f₀ (source g) z) : f = g := by
have hd : dist f g ≤ (T * K) * dist f g := by
change dist f.val g.val ≤ _
apply BoundedMeasurable.dist_le (Domain P) (by positivity)
intro z
rw [hf, hg]
have h := value_difference hT hL (mul_nonneg hK dist_nonneg) hflow f₀
(hsm f) (hsm g) (hsb f) (hsb g) (hsl f g) z
simpa only [mul_assoc] using h
have hz : dist f g = 0 := by nlinarith [dist_nonneg (x := f) (y := g)]
exact dist_eq_zero.mp hz
end BoltzmannNonuniqueness.PositiveIntegral
end
end
section
/-! # Dependence of the characteristic map on its initial value -/
noncomputable section
open MeasureTheory
namespace BoltzmannNonuniqueness.PositiveIntegral
variable {P : Type*} [MeasurableSpace P]
theorem value_difference_initial {T L S D I : ℝ} (hT : 0 ≤ T) (hL : 0 ≤ L)
(hD : 0 ≤ D) (_hI : 0 ≤ I)
{flow : ℝ → P → P} (hflow : Measurable (fun z : ℝ × P => flow z.1 z.2))
{f₀ k₀ : P → ℝ} (hfk : ∀ p, |f₀ p-k₀ p| ≤ I)
{g h : Domain P → ℝ} (hgm : Measurable g) (hhm : Measurable h)
(hg : ∀ z, |g z| ≤ S) (hh : ∀ z, |h z| ≤ S) (hgh : ∀ z, |g z-h z| ≤ D)
(z : Domain P) : |value T L flow f₀ g z-value T L flow k₀ h z| ≤ I+T*D := by
have hsource := value_difference hT hL hD hflow f₀ hgm hhm hg hh hgh z
have hinitial : |value T L flow f₀ h z-value T L flow k₀ h z| ≤ I := by
have heq : value T L flow f₀ h z-value T L flow k₀ h z =
Real.exp (-L*time T z.1) * (f₀ (flow (-time T z.1) z.2)-k₀ (flow (-time T z.1) z.2)) := by
unfold value
ring
rw [heq, abs_mul, abs_of_pos (Real.exp_pos _)]
have he : Real.exp (-L*time T z.1) ≤ 1 := Real.exp_le_one_iff.mpr
(mul_nonpos_of_nonpos_of_nonneg (neg_nonpos.mpr hL) (time_bounds hT z.1).1)
exact (mul_le_mul he (hfk _) (abs_nonneg _) (by norm_num)).trans_eq (one_mul I)
exact (abs_sub_le _ _ _).trans ((add_le_add hsource hinitial).trans_eq (add_comm _ _))
end BoltzmannNonuniqueness.PositiveIntegral
end
end
section
/-! # Finite sums of positive characteristic integrals -/
noncomputable section
open MeasureTheory
open scoped BigOperators
namespace BoltzmannNonuniqueness.PositiveIntegral
variable {P I : Type*} [MeasurableSpace P]
theorem value_finsetSum {T L S : ℝ} (hT : 0 ≤ T) (hL : 0 ≤ L)
{flow : ℝ → P → P} (hflow : Measurable (fun z : ℝ × P => flow z.1 z.2))
(s : Finset I) (f₀ : I → P → ℝ) (g : I → Domain P → ℝ)
(hgm : ∀ i ∈ s, Measurable (g i)) (hg : ∀ i ∈ s, ∀ z, |g i z| ≤ S)
(z : Domain P) :
∑ i ∈ s, value T L flow (f₀ i) (g i) z =
value T L flow (fun p => ∑ i ∈ s, f₀ i p) (fun q => ∑ i ∈ s, g i q) z := by
unfold value
rw [Finset.sum_add_distrib, Finset.mul_sum]
congr 1
rw [← intervalIntegral.integral_finsetSum
(fun i hi => damped_integrable hT hL hflow (hgm i hi) (hg i hi) z)]
apply intervalIntegral.integral_congr
intro r _
exact (Finset.mul_sum s _ _).symm
end BoltzmannNonuniqueness.PositiveIntegral
end
end
section
/-! # Countable positive sums in the characteristic equation -/
noncomputable section
open MeasureTheory Set Filter
open scoped Topology
namespace BoltzmannNonuniqueness.PositiveIntegral
variable {P I : Type*} [MeasurableSpace P] [Countable I]
theorem hasSum_value {T L S : ℝ} (hT : 0 ≤ T) (hL : 0 ≤ L)
{flow : ℝ → P → P} (hflow : Measurable (fun z : ℝ × P => flow z.1 z.2))
(f₀ : I → P → ℝ) (hf₀ : ∀ p, Summable (fun i => f₀ i p))
(g : I → Domain P → ℝ) (hgm : ∀ i, Measurable (g i))
(hg : ∀ i z, 0 ≤ g i z ∧ g i z ≤ S)
(hgs : ∀ z, Summable (fun i => g i z)) (hgb : ∀ z, (∑' i, g i z) ≤ S)
(z : Domain P) : HasSum (fun i => value T L flow (f₀ i) (g i) z)
(value T L flow (fun p => ∑' i, f₀ i p) (fun q => ∑' i, g i q) z) := by
have hsm : Measurable (fun q => ∑' i, g i q) := Measurable.tsum hgm
have hsa (q) : |∑' i, g i q| ≤ S := by
rw [abs_of_nonneg (tsum_nonneg (fun i => (hg i q).1))]
exact hgb q
have hgi (i) := damped_integrable hT hL hflow (hgm i)
(fun q => by rw [abs_of_nonneg (hg i q).1]; exact (hg i q).2) z
have hi := intervalIntegral.hasSum_integral_of_dominated_convergence
(a := 0) (b := time T z.1) (μ := volume)
(F := fun i r => Real.exp (-L * (time T z.1 - r)) * g i (r, flow (r - time T z.1) z.2))
(f := fun r => Real.exp (-L * (time T z.1 - r)) *
∑' i, g i (r, flow (r - time T z.1) z.2))
(fun i r => Real.exp (-L * (time T z.1 - r)) * g i (r, flow (r - time T z.1) z.2))
(fun i => (hgi i).def'.aestronglyMeasurable)
(fun i => ae_of_all _ (fun r _ => by
rw [Real.norm_eq_abs, abs_of_nonneg (mul_nonneg (Real.exp_pos _).le (hg i _).1)]))
(ae_of_all _ (fun r _ => (hgs _).mul_left _))
(by
simpa only [tsum_mul_left] using damped_integrable hT hL hflow hsm hsa z)
(ae_of_all _ (fun r _ => (hgs _).hasSum.mul_left _))
exact ((hf₀ _).hasSum.mul_left (Real.exp (-L * time T z.1))).add hi
end BoltzmannNonuniqueness.PositiveIntegral
end
end
section
/-! # Positive mass of an integral is bounded by the integral of positive mass -/
noncomputable section
open MeasureTheory
open scoped ENNReal
namespace BoltzmannNonuniqueness
variable {X Y : Type*} [MeasurableSpace X] [MeasurableSpace Y]
theorem positive_marginal_bound {μ : Measure X} {ν : Measure Y} [SFinite μ] [SFinite ν]
{f : X × Y → ℝ} (hfm : Measurable f) (hfi : Integrable f (μ.prod ν)) :
(∫⁻ x, ENNReal.ofReal (∫ y, f (x,y) ∂ν) ∂μ) ≤
∫⁻ z, ENNReal.ofReal (f z) ∂μ.prod ν := by
rw [lintegral_prod _ hfm.ennreal_ofReal.aemeasurable]
exact lintegral_mono_ae (hfi.prod_right_ae.mono (fun x hx => Published.ofReal_integral_le_lintegral hx))
end BoltzmannNonuniqueness
end
end
end OAI