openAI-math-dataset / lean /OAI /Analysis /BiholderTransport /Geodesics /MinimizingSubinterval.lean
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Add lean source and binary files (part 11)
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import Mathlib
import OAI.Analysis.BiholderTransport.Geodesics.GeodesicBasics
import OAI.Analysis.BiholderTransport.Regularity.RiemannianMetricSegment
import OAI.Analysis.BiholderTransport.Geodesics.NoCorner
namespace OAI
noncomputable section
open Set MeasureTheory Manifold Bundle
open scoped ContDiff Manifold ENNReal NNReal Topology
open Set Filter
open scoped Topology NNReal
open Set Filter
open scoped Topology
open Set Manifold MeasureTheory Bundle
open scoped ENNReal ContDiff Topology
open Set
open scoped Topology
open Set Filter Manifold Bundle ContinuousLinearMap
open scoped Topology ContDiff Manifold Bundle
open Set Filter ContinuousLinearMap InnerProductSpace
open scoped Topology ContDiff
open Set Filter ContinuousLinearMap
open scoped Topology ContDiff
open Set Filter ContinuousLinearMap
open scoped Topology ContDiff
open Set Filter ContinuousLinearMap
open scoped Topology ContDiff
open scoped NNReal
open Set Filter ContinuousLinearMap
open scoped Topology ContDiff
open Set Filter ContinuousLinearMap
open scoped Topology
open MeasureTheory
open scoped ContDiff ENNReal
open Set Filter Manifold Bundle ContinuousLinearMap MeasureTheory
open scoped Topology ContDiff Manifold Bundle ENNReal
open Set Filter Manifold MeasureTheory Bundle
open scoped ENNReal ContDiff Topology Manifold
open Set Filter Manifold Bundle ContinuousLinearMap
open scoped Topology ContDiff Manifold Bundle
open Set Filter Manifold Bundle
open scoped Topology ContDiff Manifold Bundle
open Set Filter Manifold Bundle
open scoped Topology ContDiff Manifold Bundle
open Set Filter Bundle
open scoped Topology Bundle
open scoped Topology
open Function Manifold Set
open Manifold Bundle
open scoped Manifold Bundle
open Set
namespace WeakMTWTransport
section
variable {E : Type*} [NormedAddCommGroup E] [InnerProductSpace ℝ E]
[FiniteDimensional ℝ E]
{M : Type*} [MetricSpace M] [CompactSpace M] [ChartedSpace E M]
[IsManifold 𝓘(ℝ,E) ∞ M]
[RiemannianBundle (fun x : M => TangentSpace 𝓘(ℝ,E) x)]
[IsContMDiffRiemannianBundle 𝓘(ℝ,E) ∞ E (fun x : M => TangentSpace 𝓘(ℝ,E) x)]
[IsRiemannianManifold 𝓘(ℝ,E) M]
lemma sprayFlow_minimizing_subinterval (z : TangentBundle 𝓘(ℝ,E) M) {s t : ℝ}
(hs : 0 ≤ s) (hst : s ≤ t)
(hmin : dist z.1 (sprayFlow t z).1 = t * ‖z.2‖) :
dist (sprayFlow s z).1 (sprayFlow t z).1 = (t-s) * ‖z.2‖ := by
have hle := dist_sprayFlow_le z s t
rw [abs_of_nonpos (sub_nonpos.mpr hst),neg_sub] at hle
apply le_antisymm hle
have hlow := dist_triangle z.1 (sprayFlow s z).1 (sprayFlow t z).1
rw [hmin,sprayFlow_minimizing_prefix z hs hst hmin] at hlow
nlinarith
end
variable {n : ℕ} {M : Type*} [MetricSpace M] [CompactSpace M]
[ChartedSpace (Model n) M] [IsManifold 𝓘(ℝ,Model n) ∞ M]
[RiemannianBundle (fun x : M => TangentSpace 𝓘(ℝ,Model n) x)]
[IsContMDiffRiemannianBundle 𝓘(ℝ,Model n) ∞ (Model n)
(fun x : M => TangentSpace 𝓘(ℝ,Model n) x)]
[IsRiemannianManifold 𝓘(ℝ,Model n) M]
lemma exists_local_minimizingVectors (x : M) :
∃ δ : ℝ, 0 < δ ∧ ∀ y ∈ Metric.ball x δ,
∃ p ∈ minimizingVectors (n := n) x, riemannianExp x p = y := by
obtain ⟨δ,hδ,H⟩ := exists_local_cost_gradient (E := Model n) x
refine ⟨δ,hδ,?_⟩
intro y hy
obtain ⟨q,hqx,hqn,hqb,_⟩ := H y hy x (Metric.mem_ball_self hδ)
rcases q with ⟨a,u⟩
change a=x at hqx
subst a
have he : riemannianExp x (-u) = y := by
rw [show -u = (-1:ℝ) • u by simp,riemannianExp_smul]
exact hqb
refine ⟨-u,?_,he⟩
change dist x (riemannianExp x (-u)) = ‖-u‖
rw [he,norm_neg,hqn,dist_comm]
lemma exists_minimizing_vector (x y : M) :
∃ p ∈ minimizingVectors (n := n) x, riemannianExp x p = y := by
classical
by_cases hxy : x=y
· subst y
exact ⟨0,by simp [minimizingVectors],riemannianExp_zero x⟩
have hD : 0 < dist x y := dist_pos.mpr hxy
obtain ⟨γ,hγ,hγ0,hγD⟩ := riemannian_exists_metric_segment (I := 𝓘(ℝ,Model n)) x y
have hd (s : Icc (0:ℝ) (dist x y)) : dist x (γ s) = s.1 := by
have hh := hγ.dist_eq (⟨0,⟨le_rfl,dist_nonneg⟩⟩ : Icc (0:ℝ) (dist x y)) s
simpa only [hγ0,Subtype.dist_eq,Real.dist_eq,zero_sub,abs_neg,abs_of_nonneg s.2.1] using hh
let R : Set M := riemannianExp (n := n) x '' minimizingVectors x
have hR : IsCompact R := (isCompact_minimizingVectors x).image (continuous_riemannianExp x)
let U : Set (Icc (0:ℝ) (dist x y)) := γ ⁻¹' R
have hU : IsCompact U := (hR.isClosed.preimage hγ.continuous).isCompact
obtain ⟨δ,hδ,Hlocal⟩ := exists_local_minimizingVectors (n := n) x
let a : ℝ := min (dist x y/2) (δ/2)
have ha : 0 < a := lt_min (by positivity) (by positivity)
have haD : a ≤ dist x y := (min_le_left _ _).trans (by linarith)
have haδ : a < δ := (min_le_right _ _).trans_lt (by linarith)
let s₀ : Icc (0:ℝ) (dist x y) := ⟨a,ha.le,haD⟩
have hs₀ : s₀ ∈ U := by
obtain ⟨p,hp,he⟩ := Hlocal (γ s₀) (by rw [Metric.mem_ball,dist_comm,hd]; exact haδ)
exact ⟨p,hp,he⟩
obtain ⟨s,hs,hsmax⟩ := hU.exists_isMaxOn ⟨s₀,hs₀⟩ continuous_subtype_val.continuousOn
have hs0 : 0 < s.1 := ha.trans_le (hsmax hs₀)
have hsD : s.1 = dist x y := by
by_contra hsne
have hslt : s.1 < dist x y := lt_of_le_of_ne s.2.2 hsne
obtain ⟨p,hp,hps⟩ := hs
have hpn : ‖p‖ = s.1 := by
change dist x (riemannianExp x p) = ‖p‖ at hp
rw [hps,hd] at hp
exact hp.symm
let z : TangentBundle 𝓘(ℝ,Model n) M := ⟨x,s.1⁻¹ • p⟩
have hzn : ‖z.2‖ = 1 := by
change ‖s.1⁻¹ • p‖ = 1
rw [norm_smul,Real.norm_eq_abs,abs_of_pos (inv_pos.mpr hs0),hpn,inv_mul_cancel₀ hs0.ne']
have hzflow : (sprayFlow s.1 z).1 = γ s := by
rw [←riemannianExp_smul]
rw [smul_smul,mul_inv_cancel₀ hs0.ne',one_smul,hps]
have hzmin : dist z.1 (sprayFlow s.1 z).1 = s.1 * ‖z.2‖ := by
rw [hzflow,hzn,mul_one]; exact hd s
obtain ⟨η,hη,Hext⟩ := exists_spray_local_extension (E := Model n) (γ s)
let ε : ℝ := min (η/2) (min (s.1/2) ((dist x y-s.1)/2))
have hε : 0 < ε := lt_min (by positivity) (lt_min (by positivity) (by linarith))
have hεη : ε < η := (min_le_left _ _).trans_lt (by linarith)
have hεs : ε < s.1 := ((min_le_right _ _).trans (min_le_left _ _)).trans_lt (by linarith)
have hεD : s.1+ε < dist x y := by
have h := (min_le_right (η/2) (min (s.1/2) ((dist x y-s.1)/2))).trans (min_le_right _ _)
change ε ≤ (dist x y-s.1)/2 at h
linarith
let s' : Icc (0:ℝ) (dist x y) := ⟨s.1+ε,by linarith,hεD.le⟩
let q := sprayFlow s.1 z
have hqn : ‖q.2‖ = 1 := by rw [sprayFlow_speed]; exact hzn
have hqback : sprayFlow (-ε) q = sprayFlow (s.1-ε) z := by
rw [←sprayFlow_add]; congr 1; ring
have hpre : dist (sprayFlow (-ε) q).1 q.1 = ε := by
rw [hqback]
have h := sprayFlow_minimizing_subinterval z (s := s.1-ε) (by linarith) (by linarith) hzmin
rw [hzn,mul_one] at h
simpa only [sub_sub_cancel] using h
have hnext : dist q.1 (γ s') = ε := by
change dist (sprayFlow s.1 z).1 _ = _
rw [hzflow,hγ.dist_eq,Subtype.dist_eq,Real.dist_eq]
change |s.1-(s.1+ε)| = ε
rw [show s.1-(s.1+ε) = -ε by ring,abs_neg,abs_of_pos hε]
have hlong : dist (sprayFlow (-ε) q).1 (γ s') = 2*ε := by
apply le_antisymm
· exact (dist_triangle _ q.1 _).trans (by rw [hpre,hnext]; linarith)
· have h := dist_triangle x (sprayFlow (-ε) q).1 (γ s')
rw [hd,hqback] at h
have hpref := sprayFlow_minimizing_prefix z (s := s.1-ε) (by linarith) (by linarith) hzmin
rw [hzn,mul_one] at hpref
change dist x (sprayFlow (s.1-ε) z).1 = s.1-ε at hpref
rw [hpref] at h
change s.1+ε ≤ _ at h
rw [hqback]
linarith
have hext := Hext q hzflow hqn ε hε hεη (γ s') hpre hnext hlong
have hznext : (sprayFlow (s.1+ε) z).1 = γ s' := by
rw [add_comm,sprayFlow_add]; exact hext
have hs' : s' ∈ U := by
refine ⟨(s.1+ε) • z.2,?_,?_⟩
· change dist x (riemannianExp x ((s.1+ε) • z.2)) = ‖(s.1+ε) • z.2‖
rw [riemannianExp_smul,hznext,hd,norm_smul,Real.norm_eq_abs,abs_of_pos (by linarith : 0 < s.1+ε),hzn,mul_one]
· rw [riemannianExp_smul]; exact hznext
have hh := hsmax hs'
change s.1+ε ≤ s.1 at hh
linarith
obtain ⟨p,hp,he⟩ := hs
refine ⟨p,hp,he.trans ?_⟩
have hsEq : s = ⟨dist x y,⟨dist_nonneg,le_rfl⟩⟩ := Subtype.ext hsD
rw [hsEq,hγD]
end WeakMTWTransport
end
end OAI