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import Mathlib
import OAI.Probability.LogConcave.Dynamics.TriangularEquiv
import OAI.Probability.LogConcave.Sampling.MeasureSmoothLipschitz
namespace OAI
section
section
noncomputable section
namespace LogConcaveSampling.LinearGrowthODE
open Set Function Filter
open scoped Topology NNReal
variable {E : Type*} [NormedAddCommGroup E] [NormedSpace ℝ E]
[FiniteDimensional ℝ E]
def truncated (f : E → E) (n : ℕ) (x : E) : E := PoincareCutoff.cutoff n x • f x
lemma truncated_smooth {f : E → E} (hf : ContDiff ℝ 1 f) (n : ℕ) :
ContDiff ℝ 1 (truncated f n) := (PoincareCutoff.cutoff_smooth n).smul hf
lemma truncated_lipschitz {f : E → E} (hf : ContDiff ℝ 1 f) (n : ℕ) :
∃ L : ℝ≥0,LipschitzWith L (truncated f n) :=
ContDiff.lipschitzWith_of_hasCompactSupport
((PoincareCutoff.cutoff_compact n).smul_right (f':=f)) (truncated_smooth hf n) (by norm_num)
lemma cutoff_eq_one {n : ℕ} {x : E} (hx : ‖x‖≤(n:ℝ)+1) :
PoincareCutoff.cutoff n x=1 := by
apply (PoincareCutoff.bump (E:=E)).one_of_mem_closedBall
rw [Metric.mem_closedBall,dist_zero_right]
change ‖((n:ℝ)+1)⁻¹ • x‖≤1
rw [norm_smul,Real.norm_eq_abs,abs_of_nonneg (by positivity)]
exact (inv_mul_le_iff₀ (by positivity : 0<(n:ℝ)+1)).mpr (by simpa using hx)
lemma truncated_eq {f : E → E} {n : ℕ} {x : E} (hx : ‖x‖≤(n:ℝ)+1) :
truncated f n x=f x := by simp [truncated,cutoff_eq_one hx]
lemma truncated_growth {f : E → E} {K B : ℝ}
(hg : ∀x,‖f x‖≤K*‖x‖+B) (n : ℕ) (x : E) :
‖truncated f n x‖≤K*‖x‖+B := by
rw [truncated,norm_smul,Real.norm_eq_abs,abs_of_nonneg (PoincareCutoff.cutoff_nonneg n x)]
exact (mul_le_of_le_one_left (norm_nonneg _) (PoincareCutoff.cutoff_le_one n x)).trans (hg x)
theorem exists_curve {f : E → E} (hf : ContDiff ℝ 1 f) {K B a b : ℝ}
(hK : 0≤K) (hB : 0≤B) (hg : ∀x,‖f x‖≤K*‖x‖+B) (hab : a≤b) (x : E) :
∃α : ℝ → E,Continuous α ∧ α a=x ∧
(∀t∈Icc a b,HasDerivWithinAt α (f (α t)) (Icc a b) t) ∧
∀t∈Icc a b,‖α t‖≤gronwallBound ‖x‖ K B (t-a) := by
obtain ⟨n,hn⟩ := exists_nat_gt (gronwallBound ‖x‖ K B (b-a))
obtain ⟨L,hL⟩ := truncated_lipschitz hf n
have hc : Continuous (uncurry (fun (_ : ℝ) => truncated f n)) :=
(truncated_smooth hf n).continuous.comp continuous_snd
obtain ⟨α,hα,hα0,hαd⟩ := GlobalODE.exists_curve (f:=fun _ => truncated f n)
(⟨a,le_rfl,hab⟩ : Icc a b) hc (fun _ _ => hL) x
have hb : ∀t∈Icc a b,‖α t‖≤gronwallBound ‖x‖ K B (t-a) :=
norm_le_gronwallBound_of_norm_deriv_right_le hα.continuousOn
(GlobalODE.right_deriv hαd) (by rw [hα0])
(fun t _ => truncated_growth hg n (α t))
have he (t : ℝ) (ht : t∈Icc a b) : truncated f n (α t)=f (α t) := by
apply truncated_eq
exact (hb t ht).trans ((gronwallBound_mono (norm_nonneg x) hB hK
(sub_le_sub_right ht.2 a)).trans (by linarith))
exact ⟨α,hα,hα0,fun t ht => (he t ht) ▸ hαd t ht,hb⟩
theorem unique {f : E → E} (hf : ContDiff ℝ 1 f) {a b : ℝ} {α β : ℝ → E}
(hα : ContinuousOn α (Icc a b)) (hβ : ContinuousOn β (Icc a b))
(hdα : ∀t∈Icc a b,HasDerivWithinAt α (f (α t)) (Icc a b) t)
(hdβ : ∀t∈Icc a b,HasDerivWithinAt β (f (β t)) (Icc a b) t)
(h0 : α a=β a) : Set.EqOn α β (Icc a b) := by
obtain ⟨A,hA⟩ := isCompact_Icc.exists_bound_of_continuousOn hα
obtain ⟨B,hB⟩ := isCompact_Icc.exists_bound_of_continuousOn hβ
obtain ⟨L,hL⟩ := hf.contDiffOn.exists_lipschitzOnWith (by norm_num : (1:WithTop ℕ∞)≠0)
(convex_closedBall (0:E) (max A B)) (isCompact_closedBall (0:E) (max A B))
intro t ht
have hh := dist_le_of_trajectories_ODE_of_mem (v:=fun (_ : ℝ) => f)
(s:=fun _ => Metric.closedBall (0:E) (max A B))
(fun _ _ => hL) hα (GlobalODE.right_deriv hdα)
(fun u hu => by simpa only [Metric.mem_closedBall,dist_zero_right] using
(hA u ⟨hu.1,hu.2.le⟩).trans (le_max_left A B))
hβ (GlobalODE.right_deriv hdβ)
(fun u hu => by simpa only [Metric.mem_closedBall,dist_zero_right] using
(hB u ⟨hu.1,hu.2.le⟩).trans (le_max_right A B)) (show dist (α a) (β a)≤0 by simp [h0]) t ht
simpa only [h0,dist_self,zero_mul,dist_le_zero] using hh
end LogConcaveSampling.LinearGrowthODE
end
end
section
noncomputable section
namespace LogConcaveSampling.LinearGrowthODE
open Set Function Filter Metric
open scoped Topology NNReal
variable {E : Type*} [NormedAddCommGroup E] [NormedSpace ℝ E]
lemma growth_from_right {a b K B R : ℝ} {α β : ℝ → E}
(hc : ContinuousOn α (Icc a b))
(hd : ∀t∈Icc a b,HasDerivWithinAt α (β t) (Icc a b) t)
(hb : ‖α b‖≤R) (hg : ∀t∈Icc a b,‖β t‖≤K*‖α t‖+B)
(t : ℝ) (ht : t∈Icc a b) : ‖α t‖≤gronwallBound R K B (b-t) := by
let q : ℝ → ℝ := fun u => a+b-u
have hq (u : ℝ) (hu : u∈Icc a b) : q u∈Icc a b := by
constructor <;> dsimp [q] <;> linarith [hu.1,hu.2]
have hqc : Continuous q := by dsimp [q]; fun_prop
have hαc : ContinuousOn (α ∘ q) (Icc a b) := hc.comp hqc.continuousOn hq
have hαd (u : ℝ) (hu : u∈Icc a b) :
HasDerivWithinAt (α ∘ q) (-β (q u)) (Icc a b) u := by
have hqd : HasDerivWithinAt q (-1) (Icc a b) u := by
convert! ((hasDerivWithinAt_const u (Icc a b) (a+b)).sub
(hasDerivWithinAt_id u (Icc a b))) using 1
simp
simpa only [neg_one_smul] using (hd (q u) (hq u hu)).scomp u hqd hq
have h0 : ‖(α ∘ q) a‖≤R := by simpa [q] using hb
have hβb (u : ℝ) (_hu : u∈Ico a b) :
‖-β (q u)‖≤K*‖(α ∘ q) u‖+B := by
simpa only [norm_neg,comp_apply] using hg (q u) (hq u ⟨_hu.1,_hu.2.le⟩)
have hh := norm_le_gronwallBound_of_norm_deriv_right_le hαc
(GlobalODE.right_deriv (f := fun u (_ : E) => -β (q u)) hαd) h0 hβb (q t) (hq t ht)
simpa only [comp_apply,q,show a+b-(a+b-t)=t by ring,show a+b-t-a=b-t by ring] using hh
lemma gronwallBound_initial_mono {R S K B t : ℝ} (h : R≤S) :
gronwallBound R K B t≤gronwallBound S K B t := by
unfold gronwallBound
split_ifs <;> gcongr
variable [FiniteDimensional ℝ E]
def flow {f : E → E} (hf : ContDiff ℝ 1 f) {K B a b : ℝ}
(hK : 0≤K) (hB : 0≤B) (hg : ∀x,‖f x‖≤K*‖x‖+B) (hab : a≤b) (x : E) : ℝ → E :=
(exists_curve hf hK hB hg hab x).choose
lemma flow_continuous {f : E → E} (hf : ContDiff ℝ 1 f) {K B a b : ℝ}
(hK : 0≤K) (hB : 0≤B) (hg : ∀x,‖f x‖≤K*‖x‖+B) (hab : a≤b) (x : E) :
Continuous (flow hf hK hB hg hab x) := (exists_curve hf hK hB hg hab x).choose_spec.1
lemma flow_initial {f : E → E} (hf : ContDiff ℝ 1 f) {K B a b : ℝ}
(hK : 0≤K) (hB : 0≤B) (hg : ∀x,‖f x‖≤K*‖x‖+B) (hab : a≤b) (x : E) :
flow hf hK hB hg hab x a=x := (exists_curve hf hK hB hg hab x).choose_spec.2.1
lemma flow_deriv {f : E → E} (hf : ContDiff ℝ 1 f) {K B a b : ℝ}
(hK : 0≤K) (hB : 0≤B) (hg : ∀x,‖f x‖≤K*‖x‖+B) (hab : a≤b) (x : E) :
∀t∈Icc a b,HasDerivWithinAt (flow hf hK hB hg hab x)
(f (flow hf hK hB hg hab x t)) (Icc a b) t :=
(exists_curve hf hK hB hg hab x).choose_spec.2.2.1
lemma flow_growth {f : E → E} (hf : ContDiff ℝ 1 f) {K B a b : ℝ}
(hK : 0≤K) (hB : 0≤B) (hg : ∀x,‖f x‖≤K*‖x‖+B) (hab : a≤b) (x : E) :
∀t∈Icc a b,‖flow hf hK hB hg hab x t‖≤gronwallBound ‖x‖ K B (t-a) :=
(exists_curve hf hK hB hg hab x).choose_spec.2.2.2
end LogConcaveSampling.LinearGrowthODE
end
end
section
noncomputable section
namespace LogConcaveSampling.LinearGrowthODE
open Set Function Filter Metric
open scoped Topology NNReal
variable {E : Type*} [NormedAddCommGroup E] [NormedSpace ℝ E]
[FiniteDimensional ℝ E]
lemma truncated_continuous {f : E → E} (hf : ContDiff ℝ 1 f) (n : ℕ) :
Continuous (uncurry (fun (_ : ℝ) => truncated f n)) :=
(truncated_smooth hf n).continuous.comp continuous_snd
lemma truncated_flow_growth {f : E → E} (hf : ContDiff ℝ 1 f) {K B a b : ℝ}
(hg : ∀x,‖f x‖≤K*‖x‖+B) (hab : a≤b) (n : ℕ)
{L : ℝ≥0} (hL : LipschitzWith L (truncated f n)) (y : E) :
∀t∈Icc a b,‖GlobalODE.flow (fun _ _ => hL)
(truncated_continuous hf n) ⟨a,le_rfl,hab⟩ y t‖≤
gronwallBound ‖y‖ K B (t-a) := by
apply norm_le_gronwallBound_of_norm_deriv_right_le
(GlobalODE.flow_continuous _ _ _ _).continuousOn
(GlobalODE.right_deriv (GlobalODE.flow_deriv _ _ _ _))
(by rw [GlobalODE.flow_initial])
exact fun _ _ => truncated_growth hg n _
lemma eq_truncated_flow {f : E → E} (hf : ContDiff ℝ 1 f) {K B a b R : ℝ}
(hK : 0≤K) (hB : 0≤B) (hg : ∀x,‖f x‖≤K*‖x‖+B) (hab : a≤b)
(n : ℕ) {L : ℝ≥0} (hL : LipschitzWith L (truncated f n))
(hn : gronwallBound R K B (b-a)≤(n:ℝ)+1) {y : E} (hy : ‖y‖≤R) :
EqOn (flow hf hK hB hg hab y)
(GlobalODE.flow (fun _ _ => hL) (truncated_continuous hf n)
⟨a,le_rfl,hab⟩ y) (Icc a b) := by
let α := GlobalODE.flow (fun _ _ => hL)
(truncated_continuous hf n) (⟨a,le_rfl,hab⟩ : Icc a b) y
have hd (t : ℝ) (ht : t∈Icc a b) : HasDerivWithinAt α (f (α t)) (Icc a b) t := by
have hb := truncated_flow_growth hf hg hab n hL y t ht
have hb' : ‖α t‖≤(n:ℝ)+1 := hb.trans ((gronwallBound_initial_mono hy).trans
((gronwallBound_mono ((norm_nonneg y).trans hy) hB hK (sub_le_sub_right ht.2 a)).trans hn))
have he := truncated_eq (f:=f) hb'
exact he ▸ GlobalODE.flow_deriv (fun _ _ => hL) _ _ y t ht
apply unique hf (flow_continuous hf hK hB hg hab y).continuousOn
(GlobalODE.flow_continuous _ _ _ _).continuousOn (flow_deriv hf hK hB hg hab y) hd
rw [flow_initial,GlobalODE.flow_initial]
lemma flow_continuous_initial {f : E → E} (hf : ContDiff ℝ 1 f) {K B a b : ℝ}
(hK : 0≤K) (hB : 0≤B) (hg : ∀x,‖f x‖≤K*‖x‖+B) (hab : a≤b)
(t : ℝ) (ht : t∈Icc a b) : Continuous (fun y => flow hf hK hB hg hab y t) := by
apply continuous_iff_continuousAt.mpr
intro x
obtain ⟨n,hn⟩ := exists_nat_gt (gronwallBound (‖x‖+1) K B (b-a))
obtain ⟨L,hL⟩ := truncated_lipschitz hf n
have hh := (GlobalODE.flow_lipschitz (fun _ _ => hL)
(truncated_continuous hf n) ⟨a,le_rfl,hab⟩ ⟨t,ht⟩).continuous.continuousAt (x:=x)
apply hh.congr_of_eventuallyEq
filter_upwards [Metric.ball_mem_nhds x (by norm_num : (0:ℝ)<1)] with y hy
apply (eq_truncated_flow hf hK hB hg hab n hL (by linarith) ?_ ht)
calc ‖y‖≤‖x‖+dist y x := norm_le_norm_add_const_of_dist_le le_rfl
_≤‖x‖+1 := by gcongr; exact (Metric.mem_ball.mp hy).le
lemma backwardTest_vanish {f : E → E} (hf : ContDiff ℝ 1 f) {K B a b R : ℝ}
(hK : 0≤K) (hB : 0≤B) (hg : ∀x,‖f x‖≤K*‖x‖+B) (hab : a≤b)
(hR : 0≤R) {φ : E → ℝ} (hφ : ∀x,R<‖x‖ → φ x=0)
(n : ℕ) {L : ℝ≥0} (hL : LipschitzWith L (truncated f n)) (t : ℝ) (y : E)
(hy : gronwallBound R K B (b-a)<‖y‖) :
GlobalODE.backwardTest (f:=fun (_ : ℝ) => truncated f n) hab
(truncated_continuous hf n) (fun _ _ => hL)
⟨b,hab,le_rfl⟩ φ (t,y)=0 := by
rw [GlobalODE.backwardTest_eq]
apply hφ
by_contra! h
let s := projIcc a b hab t
let α := GlobalODE.flow (fun _ _ => hL)
(truncated_continuous hf n) s y
have hh := growth_from_right (GlobalODE.flow_continuous _ _ _ _).continuousOn
(GlobalODE.flow_deriv (fun _ _ => hL) _ s y) h
(fun u _ => truncated_growth hg n (α u)) s s.2
rw [GlobalODE.flow_initial] at hh
have hm := gronwallBound_mono hR hB hK (sub_le_sub_left s.2.1 b)
exact (not_lt_of_ge (hh.trans hm)) hy
end LogConcaveSampling.LinearGrowthODE
end
end
section
noncomputable section
namespace LogConcaveSampling.GlobalODE
open Set Function Filter MeasureTheory
open scoped Topology NNReal
variable {E : Type*} [NormedAddCommGroup E] [NormedSpace ℝ E]
[FiniteDimensional ℝ E] [MeasurableSpace E] [BorelSpace E]
theorem stationary_integral_of_backward_flux {f : E → E} (hf : ContDiff ℝ 1 f)
{K : ℝ≥0} (hL : LipschitzWith K f) {μ : Measure E} [IsFiniteMeasure μ]
(hfi : Integrable (fun x => ‖f x‖) μ)
{a b : ℝ} (hab : a<b) {φ : E → ℝ} (hφ : ContDiff ℝ 1 φ)
{L : ℝ≥0} (hφL : LipschitzWith L φ) {B : ℝ} (hφB : ∀x,‖φ x‖≤B)
(hflux : ∀t : ℝ,(∫y,(fderiv ℝ (fun z =>
backwardTest (f:=fun (_ : ℝ) => f) hab.le (hf.continuous.comp continuous_snd) (fun _ _ => hL)
⟨b,hab.le,le_rfl⟩ φ (t,z)) y) (f y) ∂μ)=0) :
(∫y,φ (flow (fun _ _ => hL) (hf.continuous.comp continuous_snd)
⟨a,le_rfl,hab.le⟩ y b) ∂μ)=∫y,φ y ∂μ := by
let hc : Continuous (uncurry (fun (_ : ℝ) => f)) := hf.continuous.comp continuous_snd
let hD : Continuous (uncurry (fun (_ : ℝ) => fderiv ℝ f)) :=
(hf.continuous_fderiv (by norm_num)).comp continuous_snd
let hd : ∀ (u : ℝ) (z : E),HasFDerivAt f (fderiv ℝ f z) z :=
fun _ z => (hf.differentiable (by norm_num) z).hasFDerivAt
let T : Icc a b := ⟨b,hab.le,le_rfl⟩
let ψ := backwardTest hab.le hc (fun _ _ => hL) T φ
let S := fun t => fderiv ℝ (fun y => ψ (t,y))
let C : ℝ := (L:ℝ)*Real.exp ((K:ℝ)*(b-a))
have hC : 0≤C := by dsimp [C]; positivity
have hψ : Continuous ψ := backwardTest_continuous hab.le hc (fun _ _ => hL) T hφ.continuous
have hψc (t : ℝ) : ContDiff ℝ 1 (fun y => ψ (t,y)) := by
have he : (fun y => ψ (t,y))=φ ∘ (fun y =>
flow (fun _ _ => hL) hc (projIcc a b hab.le t) y T) := by
funext y
exact backwardTest_eq hab.le hc (fun _ _ => hL) T φ (t,y)
rw [he]
exact hφ.comp (flow_contDiff_one hab.le hc (fun _ _ => hL) hD hd _ T)
have hψL (t : ℝ) := backwardTest_lipschitz hab.le hc (fun _ _ => hL) T hφL t
have hψB (t : ℝ) (y : E) : ‖ψ (t,y)‖≤B := hφB _
have hSb (t : ℝ) (y : E) : ‖S t y‖≤C := norm_fderiv_le_of_lipschitz ℝ (hψL t)
have him (t : ℝ) : Integrable (fun y => ψ (t,y)) μ :=
(integrable_const B).mono' (hψ.measurable.comp (measurable_const.prodMk measurable_id)).aestronglyMeasurable
(Eventually.of_forall (hψB t))
have hdm (t : ℝ) : Measurable (fun y => -(S t y (f y))) :=
((continuous_fst.clm_apply continuous_snd).measurable.comp
((measurable_fderiv ℝ (fun y => ψ (t,y))).prodMk hf.continuous.measurable)).neg
have hdb (t : ℝ) (y : E) : ‖-(S t y (f y))‖≤C*‖f y‖ := by
rw [norm_neg]
exact (ContinuousLinearMap.le_opNorm _ _).trans (mul_le_mul_of_nonneg_right (hSb t y) (norm_nonneg _))
have hpd (t : ℝ) (ht : t∈Ioo a b) (y : E) :
HasDerivAt (fun t => ψ (t,y)) (-(S t y (f y))) t := by
have hh := backwardTest_chain hab.le hc (fun _ _ => hL) hD hd T
(hφ.differentiable (by norm_num)) ht (hasDerivAt_const t y)
simpa only [zero_sub,map_neg] using hh
have hQd (t : ℝ) (ht : t∈Ioo a b) : HasDerivAt (fun t => ∫y,ψ (t,y) ∂μ) 0 t := by
have hh := hasDerivAt_integral_of_dominated_loc_of_deriv_le
(F:=fun t y => ψ (t,y)) (F':=fun t y => -(S t y (f y)))
(Ioo_mem_nhds ht.1 ht.2)
(Eventually.of_forall fun _ =>
(hψ.measurable.comp (measurable_const.prodMk measurable_id)).aestronglyMeasurable)
(him t) (hdm t).aestronglyMeasurable
(Eventually.of_forall fun y s _ => hdb s y) (hfi.const_mul C)
(Eventually.of_forall fun y s hs => hpd s hs y)
have hz := hflux t
have he : (∫y,-(S t y (f y)) ∂μ)=0 := by rw [integral_neg]; exact neg_eq_zero.mpr hz
rw [he] at hh
exact hh.2
have hQc : Continuous (fun t => ∫y,ψ (t,y) ∂μ) :=
continuous_of_dominated
(fun _ => (hψ.measurable.comp (measurable_const.prodMk measurable_id)).aestronglyMeasurable)
(fun t => Eventually.of_forall (hψB t)) (integrable_const B)
(Eventually.of_forall fun y => hψ.comp (continuous_id.prodMk continuous_const))
obtain ⟨t,ht,he⟩ := exists_deriv_eq_slope (fun t => ∫y,ψ (t,y) ∂μ) hab hQc.continuousOn
(fun t ht => (hQd t ht).differentiableAt.differentiableWithinAt)
rw [(hQd t ht).deriv] at he
have heq : (∫y,ψ (b,y) ∂μ)=(∫y,ψ (a,y) ∂μ) :=
sub_eq_zero.mp ((div_eq_zero_iff).mp he.symm |>.resolve_right (sub_ne_zero.mpr hab.ne'))
have ha : (fun y => ψ (a,y))=(fun y => φ (flow (fun _ _ => hL) hc ⟨a,le_rfl,hab.le⟩ y b)) := by
funext y
dsimp [ψ]
rw [backwardTest_eq,projIcc_of_mem _ (show a∈Icc a b from ⟨le_rfl,hab.le⟩)]
have hb : (fun y => ψ (b,y))=φ := by
funext y
dsimp [ψ]
rw [backwardTest_eq,projIcc_of_mem _ (show b∈Icc a b from ⟨hab.le,le_rfl⟩)]
exact congrArg φ (flow_initial (fun _ _ => hL) hc T y)
rw [ha,hb] at heq
exact heq.symm
end LogConcaveSampling.GlobalODE
end
end
section
noncomputable section
namespace LogConcaveSampling.LinearGrowthODE
open Set Function Filter Metric MeasureTheory
open scoped Topology NNReal
variable {E : Type*} [NormedAddCommGroup E] [NormedSpace ℝ E]
[FiniteDimensional ℝ E] [MeasurableSpace E] [BorelSpace E]
omit [FiniteDimensional ℝ E] [MeasurableSpace E] [BorelSpace E] in
lemma fderiv_zero_of_vanish_outside {ψ : E → ℝ} {C : ℝ}
(hψ : ∀z,C<‖z‖ → ψ z=0) {y : E} (hy : C<‖y‖) : fderiv ℝ ψ y=0 := by
have he : ψ =ᶠ[𝓝 y] fun _ => (0:ℝ) := by
filter_upwards [(isOpen_lt continuous_const continuous_norm).mem_nhds hy] with z hz
exact hψ z hz
exact ((hasFDerivAt_const (𝕜:=ℝ) (0:ℝ) y).congr_of_eventuallyEq he).fderiv
theorem stationary_integral_compact {f : E → E} (hf : ContDiff ℝ 1 f) {K B a b : ℝ}
(hK : 0≤K) (hB : 0≤B) (hg : ∀x,‖f x‖≤K*‖x‖+B) (hab : a<b)
{μ : Measure E} [IsFiniteMeasure μ] (hfi : Integrable (fun x => ‖f x‖) μ)
(hflux : ∀ψ : E → ℝ,ContDiff ℝ 1 ψ → HasCompactSupport ψ →
(∫x,(fderiv ℝ ψ x) (f x) ∂μ)=0)
{φ : E → ℝ} (hφ : ContDiff ℝ 1 φ) (hφc : HasCompactSupport φ) :
(∫y,φ (flow hf hK hB hg hab.le y b) ∂μ)=∫y,φ y ∂μ := by
obtain ⟨R,hR,hRb⟩ := hφc.isCompact.isBounded.exists_pos_norm_le
have hφv (z : E) (hz : R<‖z‖) : φ z=0 := by
by_contra hh
exact (not_lt_of_ge (hRb z (subset_tsupport φ hh))) hz
let C := gronwallBound R K B (b-a)
obtain ⟨n,hn⟩ := exists_nat_gt (max C (gronwallBound C K B (b-a)))
have hnC : C≤(n:ℝ)+1 := by have := le_max_left C (gronwallBound C K B (b-a)); linarith
have hnG : gronwallBound C K B (b-a)≤(n:ℝ)+1 := by
have := le_max_right C (gronwallBound C K B (b-a)); linarith
obtain ⟨L,hL⟩ := truncated_lipschitz hf n
let hc := truncated_continuous hf n
let T : Icc a b := ⟨b,hab.le,le_rfl⟩
let ψ := GlobalODE.backwardTest hab.le hc (fun _ _ => hL) T φ
have hψv (t : ℝ) (z : E) (hz : C<‖z‖) : ψ (t,z)=0 :=
backwardTest_vanish hf hK hB hg hab.le hR.le hφv n hL t z hz
have hψc (t : ℝ) : ContDiff ℝ 1 (fun z => ψ (t,z)) := by
have he : (fun z => ψ (t,z))=φ ∘ (fun z =>
GlobalODE.flow (fun _ _ => hL) hc (projIcc a b hab.le t) z T) := by
funext z
exact GlobalODE.backwardTest_eq hab.le hc (fun _ _ => hL) T φ (t,z)
rw [he]
apply hφ.comp
apply GlobalODE.flow_contDiff_one (D:=fun _ => fderiv ℝ (truncated f n)) hab.le hc (fun _ _ => hL)
(((truncated_smooth hf n).continuous_fderiv (by norm_num)).comp continuous_snd)
(fun _ z => ((truncated_smooth hf n).differentiable (by norm_num) z).hasFDerivAt)
have hψcompact (t : ℝ) : HasCompactSupport (fun z => ψ (t,z)) :=
HasCompactSupport.intro (isCompact_closedBall (0:E) C) fun z hz =>
hψv t z (by simpa only [mem_closedBall,dist_zero_right,not_le] using hz)
have hψflux (t : ℝ) : (∫y,(fderiv ℝ (fun z => ψ (t,z)) y) (truncated f n y) ∂μ)=0 := by
rw [show (fun y => (fderiv ℝ (fun z => ψ (t,z)) y) (truncated f n y))=
(fun y => (fderiv ℝ (fun z => ψ (t,z)) y) (f y)) by
funext y
by_cases hy : ‖y‖≤C
· rw [truncated_eq (hy.trans hnC)]
· rw [fderiv_zero_of_vanish_outside (hψv t) (lt_of_not_ge hy)]
rfl]
exact hflux _ (hψc t) (hψcompact t)
have hni : Integrable (fun x => ‖truncated f n x‖) μ :=
hfi.mono' (truncated_smooth hf n).continuous.norm.aestronglyMeasurable
(Eventually.of_forall fun x => by
rw [norm_norm,truncated,norm_smul,Real.norm_eq_abs,
abs_of_nonneg (PoincareCutoff.cutoff_nonneg n x)]
exact mul_le_of_le_one_left (norm_nonneg _) (PoincareCutoff.cutoff_le_one n x))
obtain ⟨J,hJ⟩ := ContDiff.lipschitzWith_of_hasCompactSupport hφc hφ (by norm_num)
obtain ⟨D,hD⟩ := hφc.exists_bound_of_continuous hφ.continuous
have hh := GlobalODE.stationary_integral_of_backward_flux (truncated_smooth hf n) hL hni
hab hφ hJ hD hψflux
rw [←hh]
apply integral_congr_ae
filter_upwards [] with y
by_cases hy : ‖y‖≤C
· exact congrArg φ (eq_truncated_flow hf hK hB hg hab.le n hL hnG hy ⟨hab.le,le_rfl⟩)
· have hy' : C<‖y‖ := lt_of_not_ge hy
have hv : φ (flow hf hK hB hg hab.le y b)=0 := by
apply hφv
by_contra! h
have hh := growth_from_right (flow_continuous hf hK hB hg hab.le y).continuousOn
(flow_deriv hf hK hB hg hab.le y) h (fun _ _ => hg _) a ⟨le_rfl,hab.le⟩
rw [flow_initial] at hh
exact (not_lt_of_ge hh) hy'
rw [hv]
exact (by
have hh := hψv a y hy'
dsimp [ψ] at hh
rw [GlobalODE.backwardTest_eq,projIcc_of_mem _ (show a∈Icc a b from ⟨le_rfl,hab.le⟩)] at hh
exact hh.symm)
theorem stationary_law {f : E → E} (hf : ContDiff ℝ 1 f) {K B a b : ℝ}
(hK : 0≤K) (hB : 0≤B) (hg : ∀x,‖f x‖≤K*‖x‖+B) (hab : a<b)
{μ : Measure E} [IsFiniteMeasure μ] (hfi : Integrable (fun x => ‖f x‖) μ)
(hflux : ∀ψ : E → ℝ,ContDiff ℝ 1 ψ → HasCompactSupport ψ →
(∫x,(fderiv ℝ ψ x) (f x) ∂μ)=0) :
μ.map (fun y => flow hf hK hB hg hab.le y b)=μ := by
let T := fun y => flow hf hK hB hg hab.le y b
have hTc : Continuous T := flow_continuous_initial hf hK hB hg hab.le b ⟨hab.le,le_rfl⟩
apply measure_eq_of_smooth_lipschitz
intro φ hφ _hφL hφB
obtain ⟨D,hD⟩ := hφB
let u := PoincareCutoff.truncation φ
have hul (η : Measure E) [IsFiniteMeasure η] :
Tendsto (fun n => ∫y,u n y ∂η) atTop (𝓝 (∫y,φ y ∂η)) := by
apply tendsto_integral_of_dominated_convergence (fun _ => D)
(fun n => (PoincareCutoff.truncation_smooth hφ n).continuous.aestronglyMeasurable)
(integrable_const D)
· exact fun n => Eventually.of_forall fun y =>
(PoincareCutoff.truncation_abs φ n y).trans (hD y)
· exact Eventually.of_forall (PoincareCutoff.truncation_tendsto φ)
have he : (fun n => ∫y,u n y ∂μ.map T)=(fun n => ∫y,u n y ∂μ) := by
funext n
rw [integral_map hTc.aemeasurable
(PoincareCutoff.truncation_smooth hφ n).continuous.aestronglyMeasurable]
exact stationary_integral_compact hf hK hB hg hab hfi hflux
(PoincareCutoff.truncation_smooth hφ n) (PoincareCutoff.truncation_compact φ n)
exact tendsto_nhds_unique (hul (μ.map T)) (he ▸ hul μ)
end LogConcaveSampling.LinearGrowthODE
end
end
end
end OAI