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Add lean source and binary files (part 85)
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import OAI.MathematicalPhysics.Boltzmann.Collision.KernelInvariantOrder
import OAI.MathematicalPhysics.Boltzmann.Compactness.EntropyIntegralBalance
import Mathlib.MeasureTheory.Integral.Prod
namespace OAI
section
/-! # Recovering the finite absolute-entropy datum class from relative entropy -/
noncomputable section
open MeasureTheory
open BoltzmannNonuniqueness.VelocityWeight
namespace BoltzmannNonuniqueness
theorem FiniteEntropyDatum.of_relativeEntropy_integrable {f : Density}
(hn : ∀ᵐ z, 0 ≤ f z) (hf : Integrable f)
(hE : Integrable (fun z => ‖z.2‖^2*f z))
(hH : Integrable (fun z => scalarRelativeEntropy (maxwellian z.2) (f z))) :
FiniteEntropyDatum f := by
have hlog : Integrable (fun z => f z*Real.log (f z)) := by
have h := ((hH.add (hf.const_mul (1-(3/2:ℝ)*Real.log (2*Real.pi)))).sub
(hE.const_mul (1/2:ℝ))).sub integrable_maxwellian_phase
apply h.congr
filter_upwards [] with z
simp only [Pi.sub_apply,Pi.add_apply,scalarRelativeEntropy,log_maxwellian]
ring
refine ⟨hn,hf.aestronglyMeasurable,?_⟩
apply ((hf.add hE).add hlog.norm).congr
filter_upwards [hn] with z hz
simp only [Pi.add_apply,Real.norm_eq_abs,abs_mul,abs_of_nonneg hz,entropyMoment]
ring
theorem bounded_finiteEntropyDatum {q A p : ℝ} {f : Density}
(hq : q < 2) (hA : 0 ≤ A) (hp : 1 < p)
(hpi : Integrable (fun v : Velocity => H q v^p))
(hfm : Measurable f) (hfn : ∀ z, 0 ≤ f z) (hfb : ∀ z, f z ≤ A*H q z.2) :
FiniteEntropyDatum f := by
have hfi : Integrable f := by
apply (((integrable_H hq).const_mul A).comp_snd (volume : Measure Position)).mono'
hfm.aestronglyMeasurable
filter_upwards [] with z
rw [Real.norm_of_nonneg (hfn z)]
exact hfb z
have hEi : Integrable (fun z => ‖z.2‖^2*f z) := by
have hmajor : Integrable (fun z : Phase => A*(‖z.2‖^2*H q z.2)) := by
rw [Measure.volume_eq_prod]
simpa only [Nat.reduceMul] using
((integrable_even_moment_H hq 1).const_mul A).comp_snd (volume : Measure Position)
apply hmajor.mono' (((continuous_snd.norm.pow 2).measurable).mul hfm).aestronglyMeasurable
filter_upwards [] with z
simp only [Pi.mul_apply,Pi.pow_apply]
rw [Real.norm_of_nonneg (mul_nonneg (sq_nonneg _) (hfn z))]
exact (mul_le_mul_of_nonneg_left (hfb z) (sq_nonneg _)).trans_eq (by ring)
have hHi : Integrable (fun z => scalarRelativeEntropy (maxwellian z.2) (f z)) := by
rw [Measure.volume_eq_prod]
exact bounded_relative_entropy_integrable hq hA hp hpi hfm hfn hfb
exact FiniteEntropyDatum.of_relativeEntropy_integrable (Filter.Eventually.of_forall hfn) hfi hEi hHi
end BoltzmannNonuniqueness
end
end
section
/-! # Finite sums preserve convergence in integral L1 -/
noncomputable section
open MeasureTheory Filter
open scoped Topology
namespace BoltzmannNonuniqueness.Compactness
theorem finite_integral_L1_zero {X ι : Type*} [MeasurableSpace X]
{μ : Measure X} (s : Finset ι) {f : ι → ℕ → X → ℝ}
(hi : ∀ i ∈ s, ∀ n, Integrable (f i n) μ)
(hl : ∀ i ∈ s, Tendsto (fun n => ∫ x, |f i n x| ∂μ) atTop (𝓝 0)) :
Tendsto (fun n => ∫ x, |∑ i ∈ s, f i n x| ∂μ) atTop (𝓝 0) := by
have hb := tendsto_finsetSum s hl
simp only [Finset.sum_const_zero] at hb
apply squeeze_zero (fun _ => integral_nonneg (fun _ => abs_nonneg _)) _ hb
intro n
calc
_ ≤ ∫ x, ∑ i ∈ s, |f i n x| ∂μ := by
apply integral_mono_of_nonneg (ae_of_all _ (fun _ => abs_nonneg _))
(integrable_finsetSum s (fun i hi' => (hi i hi' n).abs))
exact ae_of_all _ (fun x => Finset.abs_sum_le_sum_abs (fun i => f i n x) s)
_ = _ := integral_finsetSum s (fun i hi' => (hi i hi' n).abs)
end BoltzmannNonuniqueness.Compactness
end
end
section
/-! # Finite history comparison on a depth-dependent reachable region -/
noncomputable section
open MeasureTheory ProbabilityTheory Set
open scoped ProbabilityTheory
namespace BoltzmannNonuniqueness
variable {X : Type*} [MeasurableSpace X]
theorem kernel_pow_le_on_depth (K L : Kernel X X) (D : ℕ → Set X) (N : ℕ)
(hstep : ∀ n < N, ∀ x ∈ D (n+1), ∀ᵐ y ∂K x, y ∈ D n)
(hle : ∀ n < N, ∀ x ∈ D (n+1), K x ≤ L x) :
∀ n ≤ N, ∀ x ∈ D n, (K^n) x ≤ (L^n) x := by
intro n hn
induction n with
| zero => intro x hx; exact le_rfl
| succ n ih =>
intro x hx
have hnN : n < N := Nat.lt_of_succ_le hn
rw [show K^(n+1) = (K^n) ∘ₖ K by simpa only [pow_one] using Kernel.pow_add K n 1,
show L^(n+1) = (L^n) ∘ₖ L by simpa only [pow_one] using Kernel.pow_add L n 1]
apply KernelHistoryOrder.measure_comp_mono_ae _ (hle n hnN x hx)
filter_upwards [hstep n hnN x hx] with y hy
exact ih (Nat.le_of_lt hnN) y hy
end BoltzmannNonuniqueness
end
end
end OAI