openAI-math-dataset / lean /OAI /Analysis /BernoulliCone /CompactLipschitzDivergence.lean
roseking's picture
Add lean source and binary files (part 11)
110f4f3 verified
Raw History Blame Contribute Delete
7.02 kB
import OAI.Analysis.BernoulliCone.FluxSeam
namespace OAI
universe uE uG
section
noncomputable section
open MeasureTheory Set Filter InnerProductSpace
open scoped Topology ContDiff NNReal
namespace Bernoulli.Foliation
variable {E : Type uE} {G : Type uG} [NormedAddCommGroup E] [NormedSpace ℝ E] [FiniteDimensional ℝ E]
[NormedAddCommGroup G] [NormedSpace ℝ G]
omit [NormedSpace ℝ G] in
lemma locallyLipschitz_compact_lipschitz [NormedSpace ℝ G] {F:E→G} (hl:LocallyLipschitz F)
(hc:HasCompactSupport F) : ∃K:ℝ≥0,LipschitzWith K F := by
obtain ⟨R,hR⟩:=hc.isBounded.subset_ball (0:E)
obtain ⟨K,hK⟩:=hl.locallyLipschitzOn.exists_lipschitzOnWith_of_compact
(isCompact_closedBall (0:E) (R+1))
obtain ⟨M,hM⟩:=hc.exists_bound_of_continuousOn hl.continuous.continuousOn
let C:ℝ≥0:=⟨max (K:ℝ) (max M 0),le_max_of_le_right (le_max_right _ _)⟩
have hKC:(K:ℝ)≤C:=le_max_left _ _
have hMC:M≤(C:ℝ):=(le_max_left M 0).trans (le_max_right _ _)
have hbound (x y:E) (hx:x∈tsupport F) (hy:y∉Metric.closedBall (0:E) (R+1)):
dist (F x) (F y)≤(C:ℝ)*dist x y := by
have hFx:dist x 0<R:=hR hx
have hFy:R+1<dist y 0:=by simpa only [Metric.mem_closedBall,not_le] using hy
have hdy:1≤dist x y:=by have hh:=dist_triangle y x 0; rw [dist_comm y x] at hh; linarith
have hyS:y∉tsupport F:=by
intro hys
have hyR:=hR hys
change dist y 0<R at hyR
linarith
rw [image_eq_zero_of_notMem_tsupport hyS,dist_zero_right]
exact (hM x hx).trans (hMC.trans (le_mul_of_one_le_right C.2 hdy))
refine ⟨C,LipschitzWith.of_dist_le_mul fun x y=>?_⟩
by_cases hx:x∈tsupport F
· by_cases hy:y∈Metric.closedBall (0:E) (R+1)
· have hxB:x∈Metric.closedBall (0:E) (R+1):=by
have hh:=hR hx
change dist x 0<R at hh
change dist x 0≤R+1
linarith
exact (hK.dist_le_mul x hxB y hy).trans (mul_le_mul_of_nonneg_right hKC dist_nonneg)
· exact hbound x y hx hy
· by_cases hy:y∈tsupport F
· by_cases hxB:x∈Metric.closedBall (0:E) (R+1)
· have hyB:y∈Metric.closedBall (0:E) (R+1):=by
have hh:=hR hy
change dist y 0<R at hh
change dist y 0≤R+1
linarith
exact (hK.dist_le_mul x hxB y hyB).trans (mul_le_mul_of_nonneg_right hKC dist_nonneg)
· simpa only [dist_comm] using hbound y x hy hxB
· rw [image_eq_zero_of_notMem_tsupport hx,image_eq_zero_of_notMem_tsupport hy,dist_self]
positivity
lemma integral_directional_compact {d:ℕ} {f:Space d→ℝ} {K:ℝ≥0}
(hf:LipschitzWith K f) (hc:HasCompactSupport f) (v:Space d) :
(∫x,fderiv ℝ f x v)=0 := by
obtain ⟨φ,hφ,hφc,hφS,hφ1⟩:=LocalExtension.exists_cutoff hc isOpen_univ (subset_univ _)
have hφT:Test univ φ:=⟨hφ,hφc,hφS⟩
have hh:=LipschitzSobolev.weakGradient hf univ φ hφT v
simp only [Measure.restrict_univ,inner_gradient_left] at hh
have hr:(fun x:Space d=>fderiv ℝ f x v * φ x)=(fun x=>fderiv ℝ f x v):=by
funext x
by_cases hx:x∈tsupport f
· have he:φ x=1:=(show φ =ᶠ[𝓝 x] (fun _=>1) from hφ1.filter_mono (nhds_le_nhdsSet hx)).self_of_nhds
rw [he,mul_one]
· rw [fderiv_of_notMem_tsupport ℝ hx,zero_apply,zero_mul]
have he:(fun x:Space d=>f x*(fderiv ℝ φ x) v)=0:=by
funext x
by_cases hx:x∈tsupport f
· have heq:φ =ᶠ[𝓝 x] (fun _=>1):=hφ1.filter_mono (nhds_le_nhdsSet hx)
simp only [heq.fderiv_eq,fderiv_fun_const,zero_apply,mul_zero,Pi.zero_apply]
· rw [image_eq_zero_of_notMem_tsupport hx,zero_mul]
rfl
rw [hr,he] at hh
simpa only [integral_zero,Pi.zero_def,zero_eq_neg] using hh
lemma integrable_directional_compact {d:ℕ} {f:Space d→ℝ} {K:ℝ≥0}
(hf:LipschitzWith K f) (hc:HasCompactSupport f) (v:Space d) :
Integrable (fun x=>fderiv ℝ f x v) := by
have hs:Function.support (fun x=>fderiv ℝ f x v)⊆tsupport f:=
(subset_tsupport _).trans (tsupport_fderiv_apply_subset ℝ v)
apply (integrableOn_iff_integrable_of_support_subset hs).mp
apply (integrableOn_const (μ:=volume) (C:=((K:ℝ)*‖v‖)) hc.measure_ne_top).mono'
(((continuous_id.clm_apply continuous_const : Continuous (fun L:Space d→L[ℝ]ℝ=>L v)).measurable.comp (measurable_fderiv ℝ f)).aestronglyMeasurable.restrict)
filter_upwards [] with x
exact ((fderiv ℝ f x).le_opNorm v).trans
(mul_le_mul_of_nonneg_right (norm_fderiv_le_of_lipschitz ℝ hf) (norm_nonneg v))
lemma integrable_divergence_compact {d:ℕ} {F:Space d→Space d} {K:ℝ≥0}
(hF:LipschitzWith K F) (hc:HasCompactSupport F) : Integrable (divergence F) := by
let e:=stdOrthonormalBasis ℝ (Space d)
let f:=fun i x=>inner ℝ (e i) (F x)
have hf i:LipschitzWith (‖innerSL ℝ (e i)‖₊*K) (f i):=
(innerSL ℝ (e i)).lipschitzWith.comp hF
have hfc i:HasCompactSupport (f i):=by
apply HasCompactSupport.intro hc
intro x hx
simp only [f,image_eq_zero_of_notMem_tsupport hx,inner_zero_right]
have he:divergence F =ᵐ[volume] (fun x=>∑i,fderiv ℝ (f i) x (e i)):=by
filter_upwards [hF.ae_differentiableAt] with x hx
unfold divergence
apply Finset.sum_congr rfl
intro i hi
have hd:HasFDerivAt (f i) ((innerSL ℝ (e i)) ∘L fderiv ℝ F x) x:=
(innerSL ℝ (e i)).hasFDerivAt.comp x hx.hasFDerivAt
rw [hd.fderiv]
rfl
exact (integrable_finsetSum _ (fun i hi=>integrable_directional_compact (hf i) (hfc i) (e i))).congr he.symm
lemma divergence_zero_outside_support {d:ℕ} {F:Space d→Space d} {x:Space d}
(hx:x∉tsupport F) : divergence F x=0 := by
unfold divergence
simp only [fderiv_of_notMem_tsupport ℝ hx,zero_apply,inner_zero_right,
Finset.sum_const_zero]
/-- The divergence of a genuine compactly supported Lipschitz vector field
has integral zero, with the a.e. derivative justified by Rademacher. -/
theorem integral_divergence_compact {d:ℕ} {F:Space d→Space d} {K:ℝ≥0}
(hF:LipschitzWith K F) (hc:HasCompactSupport F) :
(∫x,divergence F x)=0 := by
let e:=stdOrthonormalBasis ℝ (Space d)
let f:=fun i x=>inner ℝ (e i) (F x)
have hf i:LipschitzWith (‖innerSL ℝ (e i)‖₊*K) (f i):=
(innerSL ℝ (e i)).lipschitzWith.comp hF
have hfc i:HasCompactSupport (f i):=by
apply HasCompactSupport.intro hc
intro x hx
simp only [f,image_eq_zero_of_notMem_tsupport hx,inner_zero_right]
have he:divergence F =ᵐ[volume] (fun x=>∑i,fderiv ℝ (f i) x (e i)):=by
filter_upwards [hF.ae_differentiableAt] with x hx
unfold divergence
apply Finset.sum_congr rfl
intro i hi
have hd:HasFDerivAt (f i) ((innerSL ℝ (e i)) ∘L fderiv ℝ F x) x:=
(innerSL ℝ (e i)).hasFDerivAt.comp x hx.hasFDerivAt
rw [hd.fderiv]
rfl
rw [integral_congr_ae he,integral_finsetSum _ (fun i hi=>integrable_directional_compact (hf i) (hfc i) (e i))]
simp only [integral_directional_compact (hf _) (hfc _),Finset.sum_const_zero]
end Bernoulli.Foliation
end
end
end OAI