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import OAI.MathematicalPhysics.Boltzmann.Admissibility
import OAI.MathematicalPhysics.Boltzmann.Approximation.RegularizedCollisionDifference
import OAI.MathematicalPhysics.Boltzmann.Collision.CollisionSources
import OAI.MathematicalPhysics.Boltzmann.Collision.ScalarEntropyConvex
import OAI.MathematicalPhysics.Boltzmann.Collision.VelocityCutoffEntropyError
import OAI.MathematicalPhysics.Boltzmann.Compactness.FiniteDepthKernelOrder
import OAI.MathematicalPhysics.Boltzmann.Compactness.NormalizedKernelAction
import Mathlib.Analysis.SpecialFunctions.Log.NegMulLog
import Mathlib.MeasureTheory.Integral.Lebesgue.Add
namespace OAI
section
/-! # The integrable entropy error caused by positive regularization -/
noncomputable section
open MeasureTheory
open BoltzmannNonuniqueness.VelocityWeight
namespace BoltzmannNonuniqueness
def entropyErrorCoefficient (q A b : ℝ) : ℝ :=
tiltConstant*(2*A+tiltConstant)*
(HotApplication.realBound q+CutoffLipschitz.frequencyConstant q b)
theorem entropyErrorCoefficient_nonneg {A b : ℝ} (hA : 0 ≤ A) (hb : 0 ≤ b) (q : ℝ) :
0 ≤ entropyErrorCoefficient q A b := by
unfold entropyErrorCoefficient
exact mul_nonneg (mul_nonneg tiltConstant_pos.le (by linarith [tiltConstant_pos]))
(add_nonneg (HotApplication.realBound_pos q).le (CutoffLipschitz.frequencyConstant_nonneg hb q))
theorem cutoffCollision_measurable {f : Velocity → ℝ} (hfm : Measurable f) (b : ℝ) :
Measurable (CutoffLipschitz.collision b f) := by
let F : Unit × Velocity → ℝ := fun z => f z.2
have hF : Measurable F := hfm.comp measurable_snd
have hg := KineticCollisionNullSets.measurable_gain hF b
have hν := KineticCollisionNullSets.measurable_frequency hF b
have hs := (hg.sub (hF.mul hν)).comp
(measurable_const.prodMk measurable_id : Measurable (fun v : Velocity => ((),v)))
convert hs using 1
funext v
rfl
theorem entropy_regularization_error (hcarleman : Published.GPV2009CarlemanInput)
{δ A q b p : ℝ} (hδ : 0 < δ) (hδone : δ ≤ 1) (hA : 0 ≤ A)
(hq₁ : 1 < q) (hq₂ : q < 2) (hb : 0 ≤ b) (hp : 1 < p)
(hpi : Integrable (fun v : Velocity => H q v^p))
{f : Velocity → ℝ} (hfm : Measurable f) (hfn : ∀ v, 0 ≤ f v)
(hfb : ∀ v, f v ≤ A*H q v) :
Integrable (fun v => Real.log (gaussianRegularization δ f v/maxwellian v)*
(CutoffLipschitz.collision b (gaussianRegularization δ f) v-CutoffLipschitz.collision b f v)) ∧
|∫ v, Real.log (gaussianRegularization δ f v/maxwellian v)*
(CutoffLipschitz.collision b (gaussianRegularization δ f) v-CutoffLipschitz.collision b f v)| ≤
δ*entropyErrorCoefficient q A b*∫ v, logarithmicMajorant q (A+tiltConstant) p δ v := by
let L := fun v => Real.log (gaussianRegularization δ f v/maxwellian v)
let Q := fun v => CutoffLipschitz.collision b (gaussianRegularization δ f) v-
CutoffLipschitz.collision b f v
have hgm := gaussianRegularization_measurable δ hfm
have hmm : Measurable maxwellian := by unfold maxwellian; fun_prop
have hLm : Measurable L := (hgm.div hmm).log
have hQm : Measurable Q := (cutoffCollision_measurable hgm b).sub (cutoffCollision_measurable hfm b)
have hC := entropyErrorCoefficient_nonneg hA hb q
have hδC : 0 ≤ δ*entropyErrorCoefficient q A b := mul_nonneg hδ.le hC
have hmajor := (logarithmicMajorant_integrable (B := A+tiltConstant) (δ := δ) hq₂ hpi).const_mul
(δ*entropyErrorCoefficient q A b)
have hbound : ∀ᵐ v : Velocity, ‖L v*Q v‖ ≤
δ*entropyErrorCoefficient q A b*logarithmicMajorant q (A+tiltConstant) p δ v := by
filter_upwards [gaussianRegularization_collision_error hcarleman hδ.le hδone hA hq₁ hq₂ hb hfm hfn hfb]
with v hv
have hl : |L v| * H q v ≤ logarithmicMajorant q (A+tiltConstant) p δ v :=
logarithm_weight_bound (add_nonneg hA tiltConstant_pos.le) hp hδ v
(by dsimp [gaussianRegularization]; linarith [hfn v])
(gaussianRegularization_bound hδ.le hδone hfb v)
rw [Real.norm_eq_abs,abs_mul]
calc
_ ≤ |L v| * (δ*entropyErrorCoefficient q A b*H q v) :=
mul_le_mul_of_nonneg_left hv (abs_nonneg _)
_ = (δ*entropyErrorCoefficient q A b)*(|L v| * H q v) := by ring
_ ≤ _ := mul_le_mul_of_nonneg_left hl hδC
refine ⟨hmajor.mono' (hLm.mul hQm).aestronglyMeasurable hbound,?_⟩
have h := norm_integral_le_of_norm_le hmajor hbound
simpa only [Real.norm_eq_abs,integral_const_mul] using h
end BoltzmannNonuniqueness
end
end
section
/-! # Finite Gaussian relative entropy controls the required datum class -/
noncomputable section
open MeasureTheory
namespace BoltzmannNonuniqueness
def entropyGaussian (v : Velocity) : ℝ :=
maxwellian v * Real.exp ((1+‖v‖^2)/4)
theorem entropyGaussian_integrable : Integrable entropyGaussian := by
have h := (GaussianFourier.integrable_cexp_neg_mul_sq_norm_add
(by norm_num : 0 < ((1/4:ℂ)).re) 0 (0:Velocity)).norm
have hg : Integrable (fun v : Velocity => Real.exp (-‖v‖^2/4)) := by
convert! h using 1
funext v
simp only [zero_mul,add_zero,Complex.norm_exp]
congr 1
norm_num
norm_cast
ring
convert hg.const_mul ((2*Real.pi)^(-(3/2:ℝ))*Real.exp (1/4)) using 1
funext v
dsimp [entropyGaussian,maxwellian]
simp only [mul_assoc,← Real.exp_add]
congr 2
ring
theorem entropy_controls_mass_energy {u : ℝ} (hu : 0 ≤ u) (v : Velocity) :
(1+‖v‖^2)*u ≤ 4*(scalarRelativeEntropy (maxwellian v) u+entropyGaussian v) := by
have h := entropyDual_le (maxwellian_pos v) hu ((1+‖v‖^2)/4)
dsimp [entropyDual,entropyGaussian] at *
nlinarith [maxwellian_pos v]
theorem finiteEntropy_of_relativeEntropy_integrable {f : Density}
(hfm : Measurable f) (hfn : ∀ z, 0 ≤ f z)
(hH : Integrable (fun z => scalarRelativeEntropy (maxwellian z.2) (f z))) :
FiniteEntropyDatum f := by
have hmajor : Integrable (fun z : Phase =>
4*(scalarRelativeEntropy (maxwellian z.2) (f z)+entropyGaussian z.2)) :=
(hH.add (entropyGaussian_integrable.comp_snd volume)).const_mul 4
have hweight : Integrable (fun z : Phase => (1+‖z.2‖^2)*f z) := by
apply hmajor.mono' ((measurable_const.add (measurable_snd.norm.pow_const 2)).mul hfm).aestronglyMeasurable
filter_upwards [] with z
change ‖(1+‖z.2‖^2)*f z‖ ≤ _
rw [Real.norm_of_nonneg (mul_nonneg (by positivity) (hfn z))]
exact entropy_controls_mass_energy (hfn z) z.2
have hfi : Integrable f := by
apply hweight.mono' hfm.aestronglyMeasurable
filter_upwards [] with z
rw [Real.norm_of_nonneg (hfn z)]
nlinarith [sq_nonneg ‖z.2‖,hfn z]
have hEi : Integrable (fun z : Phase => ‖z.2‖^2*f z) := by
apply hweight.mono' ((measurable_snd.norm.pow_const 2).mul hfm).aestronglyMeasurable
filter_upwards [] with z
change ‖‖z.2‖^2*f z‖ ≤ _
rw [Real.norm_of_nonneg (mul_nonneg (sq_nonneg _) (hfn z))]
nlinarith [hfn z]
exact FiniteEntropyDatum.of_relativeEntropy_integrable (Filter.Eventually.of_forall hfn) hfi hEi hH
end BoltzmannNonuniqueness
end
end
section
/-! # The regularization error vanishes as the Gaussian is removed -/
noncomputable section
open MeasureTheory Filter
open scoped Topology
open BoltzmannNonuniqueness.VelocityWeight
namespace BoltzmannNonuniqueness
theorem tendsto_mul_abs_log_zero :
Tendsto (fun δ : ℝ => δ*|Real.log δ|) (𝓝 0) (𝓝 0) := by
rw [tendsto_zero_iff_norm_tendsto_zero]
have h : Tendsto (fun δ : ℝ => |δ*Real.log δ|) (𝓝 0) (𝓝 0) := by
simpa using Real.continuous_mul_log.abs.tendsto 0
simpa only [norm_mul,Real.norm_eq_abs,abs_abs,abs_mul] using h
theorem tendsto_mul_affine_abs_log_zero (a b : ℝ) :
Tendsto (fun δ : ℝ => δ*(a+b*|Real.log δ|)) (𝓝 0) (𝓝 0) := by
have h := ((tendsto_id : Tendsto (fun δ : ℝ => δ) (𝓝 0) (𝓝 0)).mul_const a).add
(tendsto_mul_abs_log_zero.mul_const b)
convert h using 1
· funext δ
simp only [id_eq]
ring
· ring_nf
theorem integral_logarithmicMajorant {q B p δ : ℝ} (hq : q < 2)
(hp : Integrable (fun v : Velocity => H q v^p)) :
(∫ v, logarithmicMajorant q B p δ v) =
(B^(p-1)/(p-1))*(∫ v, H q v^p)+
(|Real.log δ|+|-(3/2:ℝ)*Real.log (2*Real.pi)|)*(∫ v, H q v)+
(5/2:ℝ)*(∫ v, ‖v‖^2*H q v) := by
have hH := (integrable_H hq).const_mul (|Real.log δ|+|-(3/2:ℝ)*Real.log (2*Real.pi)|)
have hE : Integrable (fun v : Velocity => (5/2:ℝ)*(‖v‖^2*H q v)) := by
simpa only [Nat.reduceMul] using (integrable_even_moment_H hq 1).const_mul (5/2:ℝ)
have he : logarithmicMajorant q B p δ =
(fun v => (B^(p-1)/(p-1))*H q v^p)+
(fun v => (|Real.log δ|+|-(3/2:ℝ)*Real.log (2*Real.pi)|)*H q v)+
(fun v => (5/2:ℝ)*(‖v‖^2*H q v)) := by
funext v
dsimp [logarithmicMajorant]
ring
rw [he,integral_add' ((hp.const_mul _).add hH) hE,integral_add' (hp.const_mul _) hH]
simp only [integral_const_mul]
theorem tendsto_integrated_entropy_error {q B p : ℝ} (C : ℝ) (hq : q < 2)
(hp : Integrable (fun v : Velocity => H q v^p)) :
Tendsto (fun δ : ℝ => δ*C*(∫ v, logarithmicMajorant q B p δ v)) (𝓝 0) (𝓝 0) := by
have h := (tendsto_mul_affine_abs_log_zero
((B^(p-1)/(p-1))*(∫ v, H q v^p)+
|-(3/2:ℝ)*Real.log (2*Real.pi)| *(∫ v, H q v)+
(5/2:ℝ)*(∫ v, ‖v‖^2*H q v)) (∫ v, H q v)).mul_const C
convert h using 1
· funext δ
rw [integral_logarithmicMajorant hq hp]
ring
· ring_nf
end BoltzmannNonuniqueness
end
end
section
/-! # Passing an entropy-dissipation inequality through a vanishing error -/
noncomputable section
open Filter
open scoped ENNReal Topology
namespace BoltzmannNonuniqueness
theorem entropy_dissipation_of_vanishing_error {ι : Type*} {l : Filter ι} [NeBot l]
{H H₀ error D : ι → ℝ} {h h₀ : ℝ} {d : ℝ≥0∞}
(hh : Tendsto H l (𝓝 h)) (hh₀ : Tendsto H₀ l (𝓝 h₀))
(herr : Tendsto error l (𝓝 0)) (hn : 0 ≤ h)
(hDn : ∀ᶠ i in l, 0 ≤ D i)
(hineq : ∀ᶠ i in l, H i-H₀ i+D i ≤ error i)
(hfatou : d ≤ liminf (fun i => ENNReal.ofReal (D i)) l) :
ENNReal.ofReal h+d ≤ ENNReal.ofReal h₀ := by
have hHle : h ≤ h₀ := by
have hlim : Tendsto (fun i => H₀ i+error i) l (𝓝 h₀) := by
simpa only [add_zero] using hh₀.add herr
apply le_of_tendsto_of_tendsto hh hlim
filter_upwards [hDn,hineq] with i hi he
linarith
have hlim : Tendsto (fun i => H₀ i+error i-H i) l (𝓝 (h₀-h)) := by
simpa only [add_zero] using (hh₀.add herr).sub hh
have hmono : liminf (fun i => ENNReal.ofReal (D i)) l ≤
liminf (fun i => ENNReal.ofReal (H₀ i+error i-H i)) l := by
exact liminf_le_liminf (hineq.mono (fun i hi => ENNReal.ofReal_le_ofReal (by linarith)))
rw [(ENNReal.tendsto_ofReal hlim).liminf_eq] at hmono
calc
_ ≤ ENNReal.ofReal h+ENNReal.ofReal (h₀-h) := add_le_add le_rfl (hfatou.trans hmono)
_ = ENNReal.ofReal (h+(h₀-h)) := (ENNReal.ofReal_add hn (sub_nonneg.mpr hHle)).symm
_ = _ := by congr 1; ring
end BoltzmannNonuniqueness
end
end
section
/-! # Uniform integrability of the actual mass marginal from entropy -/
noncomputable section
open MeasureTheory
open scoped ENNReal
namespace BoltzmannNonuniqueness.PeriodicApproximation
variable {X : Type*} [MeasurableSpace X] {μ : Measure X} [IsFiniteMeasure μ]
theorem mass_marginal_uniformIntegrable {f : ℕ → X × Velocity → ℝ} {C : ℝ}
(hfm : ∀ n, Measurable (f n)) (hf : ∀ n p, 0 ≤ f n p)
(hi : ∀ n, Integrable (entropyGauge (f n)) (μ.prod volume))
(hb : ∀ n, (∫ p, entropyGauge (f n) p ∂μ.prod volume) ≤ C) :
UniformIntegrable (fun n => Compactness.fiberMass volume (f n)) 1 μ := by
have hui := linearMoment_marginal_uniformIntegrable hfm hf hi hb
have hbound n : ∀ᵐ x ∂μ, ‖Compactness.fiberMass volume (f n) x‖ₑ ≤
‖∫ v, linearMoment (f n) (x,v)‖ₑ := by
filter_upwards [(linearMoment_integrable (hfm n) (hf n) (hi n)).prod_right_ae] with x hx
apply enorm_le_iff_norm_le.mpr
dsimp only [Compactness.fiberMass]
have hln (v : Velocity) : 0 ≤ linearMoment (f n) (x,v) :=
mul_nonneg (by dsimp only [Prod.snd]; positivity) (hf n (x,v))
have hL0 : 0 ≤ ∫ v, linearMoment (f n) (x,v) := integral_nonneg hln
rw [Real.norm_of_nonneg (integral_nonneg (fun v => hf n (x,v))),Real.norm_of_nonneg hL0]
apply integral_mono_of_nonneg (ae_of_all _ (fun v => hf n (x,v))) hx
filter_upwards [] with v
change f n (x,v) ≤ (1+‖v‖)*f n (x,v)
nlinarith [norm_nonneg v,hf n (x,v)]
obtain ⟨hu,D,hD⟩ := hui
have hm n := (Compactness.fiberMass_measurable (ν := volume) (hfm n)).aestronglyMeasurable (μ := μ)
exact ⟨hu.ae_mono hm hbound,D,fun n => (eLpNorm_mono_enorm_ae (hm n) (hbound n)).trans (hD n)⟩
end BoltzmannNonuniqueness.PeriodicApproximation
end
end
section
/-! # A uniform absolute-entropy moment from the relative-entropy bound -/
noncomputable section
open MeasureTheory
namespace BoltzmannNonuniqueness
def entropyMomentCoefficient : ℝ :=
2+3*|1-(3/2:ℝ)*Real.log (2*Real.pi)|
theorem entropyMomentCoefficient_nonneg : 0 ≤ entropyMomentCoefficient := by
unfold entropyMomentCoefficient
positivity
theorem entropyMoment_control {f : Density} {z : Phase} (hu : 0 ≤ f z) :
entropyMoment f z ≤
(1+4*entropyMomentCoefficient)*scalarRelativeEntropy (maxwellian z.2) (f z)+
4*entropyMomentCoefficient*entropyGaussian z.2+maxwellian z.2 := by
let u := f z
let c := 1-(3/2:ℝ)*Real.log (2*Real.pi)
have hu' : 0 ≤ u := hu
have hE : 0 ≤ ‖z.2‖^2*u := mul_nonneg (sq_nonneg _) hu'
have hm := (maxwellian_pos z.2).le
have hc : c*u ≤ |c| *u := mul_le_mul_of_nonneg_right (le_abs_self c) hu'
have hc' : -(|c| *u) ≤ c*u := by
simpa only [neg_mul] using mul_le_mul_of_nonneg_right (neg_abs_le c) hu'
have hcu : 0 ≤ |c| *u := mul_nonneg (abs_nonneg c) hu'
have hH := scalarRelativeEntropy_nonneg (maxwellian_pos z.2) hu'
have he : scalarRelativeEntropy (maxwellian z.2) u =
u*Real.log u-c*u+(1/2:ℝ)*(‖z.2‖^2*u)+maxwellian z.2 := by
dsimp [scalarRelativeEntropy,c]
rw [log_maxwellian]
ring
have ha : |u*Real.log u| ≤ u*Real.log u+2*(|c| *u+(1/2:ℝ)*(‖z.2‖^2*u)+maxwellian z.2) := by
apply abs_le.mpr
constructor <;> nlinarith
have hpre : entropyMoment f z ≤ scalarRelativeEntropy (maxwellian z.2) u+
entropyMomentCoefficient*((1+‖z.2‖^2)*u)+maxwellian z.2 := by
have habs : u*|Real.log u| = |u*Real.log u| := by rw [abs_mul,abs_of_nonneg hu']
change u*(1+‖z.2‖^2+|Real.log u|) ≤ _
rw [mul_add,habs]
change _ ≤ scalarRelativeEntropy (maxwellian z.2) u+(2+3*|c|)*((1+‖z.2‖^2)*u)+maxwellian z.2
have hEc : 0 ≤ |c| *(‖z.2‖^2*u) := mul_nonneg (abs_nonneg c) hE
nlinarith
have hb := mul_le_mul_of_nonneg_left (entropy_controls_mass_energy hu' z.2)
entropyMomentCoefficient_nonneg
exact hpre.trans (by nlinarith)
theorem entropyMoment_integral_control {f : Density} (hf : FiniteEntropyDatum f) :
(∫ z, entropyMoment f z) ≤
(1+4*entropyMomentCoefficient)*relativeEntropy f+
4*entropyMomentCoefficient*(∫ z : Phase, entropyGaussian z.2)+
(∫ z : Phase, maxwellian z.2) := by
have hH := hf.integrable_relativeEntropy.congr (Filter.Eventually.of_forall (fun z =>
(scalarRelativeEntropy_eq (maxwellian_pos z.2) _).symm))
have hG : Integrable (fun z : Phase => entropyGaussian z.2) :=
entropyGaussian_integrable.comp_snd volume
have hi := ((hH.const_mul (1+4*entropyMomentCoefficient)).add
(hG.const_mul (4*entropyMomentCoefficient))).add integrable_maxwellian_phase
have hb := integral_mono_ae hf.2.2 hi (hf.1.mono (fun _ hu => entropyMoment_control hu))
simp only [Pi.add_apply] at hb
have hsum := integral_add ((hH.const_mul (1+4*entropyMomentCoefficient)).add
(hG.const_mul (4*entropyMomentCoefficient))) integrable_maxwellian_phase
have hsum' := integral_add (hH.const_mul (1+4*entropyMomentCoefficient))
(hG.const_mul (4*entropyMomentCoefficient))
simp only [Pi.add_apply] at hsum hsum'
rw [hsum,hsum',integral_const_mul,integral_const_mul] at hb
have he : (∫ z, scalarRelativeEntropy (maxwellian z.2) (f z)) = relativeEntropy f :=
integral_congr_ae (Filter.Eventually.of_forall (fun z => scalarRelativeEntropy_eq (maxwellian_pos z.2) _))
rwa [he] at hb
end BoltzmannNonuniqueness
end
end
section
/-! # Passing the sum of nonnegative entropy and dissipation to a subsequential limit -/
noncomputable section
open Filter
open scoped ENNReal Topology
namespace BoltzmannNonuniqueness
theorem ennreal_liminf_add_nat (u v : ℕ → ℝ≥0∞) :
liminf u atTop+liminf v atTop ≤ liminf (fun n => u n+v n) atTop := by
simp_rw [liminf_eq_iSup_iInf_of_nat]
apply ENNReal.iSup_add_iSup_le
intro N M
apply le_iSup_of_le (max N M)
apply le_iInf₂
intro k hk
exact add_le_add (iInf₂_le k ((le_max_left N M).trans hk))
(iInf₂_le k ((le_max_right N M).trans hk))
theorem entropy_dissipation_of_liminfs {H D : ℕ → ℝ≥0∞} {C : ℕ → ℝ}
{h d : ℝ≥0∞} {c : ℝ}
(hh : h ≤ liminf H atTop) (hd : d ≤ liminf D atTop)
(hC : Tendsto C atTop (𝓝 c))
(hupper : ∀ᶠ n in atTop, H n+D n ≤ ENNReal.ofReal (C n)) :
h+d ≤ ENNReal.ofReal c := by
have hm := liminf_le_liminf hupper
rw [(ENNReal.tendsto_ofReal hC).liminf_eq] at hm
exact (add_le_add hh hd).trans ((ennreal_liminf_add_nat H D).trans hm)
end BoltzmannNonuniqueness
end
end
section
/-! # Retaining a common entropy and dissipation budget under time averaging -/
noncomputable section
open MeasureTheory Filter
open scoped ENNReal Topology
namespace BoltzmannNonuniqueness
variable {X : Type*} [MeasurableSpace X] {μ : Measure X} [IsFiniteMeasure μ]
theorem entropy_dissipation_average_limit {H : ℕ → X → ℝ≥0∞} {h : X → ℝ≥0∞}
{D C : ℕ → ℝ≥0∞} {d c : ℝ≥0∞}
(hHm : ∀ n, Measurable (H n))
(hh : (∫⁻ x, h x ∂μ) ≤ liminf (fun n => ∫⁻ x, H n x ∂μ) atTop)
(hd : d ≤ liminf D atTop) (hC : Tendsto C atTop (𝓝 c))
(hu : ∀ᶠ n in atTop, ∀ᵐ x ∂μ, H n x+D n ≤ C n) :
(∫⁻ x, h x ∂μ)+μ Set.univ*d ≤ μ Set.univ*c := by
have hm := ENNReal.le_liminf_mul (u := fun _ : ℕ => μ Set.univ) (v := D) (f := atTop)
have hd' : μ Set.univ*d ≤ liminf (fun n => μ Set.univ*D n) atTop := by
apply (mul_le_mul' le_rfl hd).trans
simpa only [liminf_const,Pi.mul_def] using hm
have hu' : ∀ᶠ n in atTop, (∫⁻ x, H n x ∂μ)+μ Set.univ*D n ≤ μ Set.univ*C n := by
filter_upwards [hu] with n hn
have h := lintegral_mono_ae hn
rw [lintegral_add_left (hHm n),lintegral_const,lintegral_const] at h
simpa only [mul_comm] using h
have hlim : Tendsto (fun n => μ Set.univ*C n) atTop (𝓝 (μ Set.univ*c)) :=
ENNReal.Tendsto.const_mul hC (Or.inr (measure_ne_top μ Set.univ))
apply (add_le_add hh hd').trans
apply (ennreal_liminf_add_nat _ _).trans
have hb := liminf_le_liminf hu'
rwa [hlim.liminf_eq] at hb
end BoltzmannNonuniqueness
end
end
end OAI