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import Mathlib
import OAI.Geometry.BallPacking.Compactness.JetCauchy
namespace OAI
noncomputable section
namespace HigherDimensionalBallPacking.Rigidity.HolderCompletion
open scoped ContDiff Topology BoundedContinuousFunction
open Set Filter
variable {n : ℕ}
local instance fcrInst1 : NormedAddCommGroup (End n) := ContinuousLinearMap.toNormedAddCommGroup
local instance fcrInst2 : NormedSpace ℝ (End n) := ContinuousLinearMap.toNormedSpace
def frozenTargetCoefficient (J : Phase n → End n) (x v : Phase n) : End n :=
let P := compatibleFrame (J x)
(P.comp (J (x+P.inverse v)-J x)).comp P.inverse
@[simp] lemma frozenTargetCoefficient_zero (J : Phase n → End n) (x : Phase n) :
frozenTargetCoefficient J x 0=0 := by
simp only [frozenTargetCoefficient,map_zero,add_zero,sub_self,
ContinuousLinearMap.comp_zero,ContinuousLinearMap.zero_comp]
lemma frozenTargetCoefficient_continuous {J : Phase n → End n} (hJ : Continuous J) (x : Phase n) :
Continuous (frozenTargetCoefficient J x) := by
exact (continuous_const.clm_comp ((hJ.comp (continuous_const.add (compatibleFrame (J x)).inverse.continuous)).sub continuous_const)).clm_comp continuous_const
lemma frozenTargetCoefficient_difference (J : Phase n → End n) (x v w : Phase n) :
frozenTargetCoefficient J x v-frozenTargetCoefficient J x w=
((compatibleFrame (J x)).comp (J (x+(compatibleFrame (J x)).inverse v)-
J (x+(compatibleFrame (J x)).inverse w))).comp (compatibleFrame (J x)).inverse := by
apply ContinuousLinearMap.ext
intro a
simp only [frozenTargetCoefficient,ContinuousLinearMap.comp_apply,sub_apply,map_sub]
abel
lemma frozenTargetCoefficient_lipschitz {J : Phase n → End n} {x : Phase n} {L G : ℝ}
(hL : 0≤L) (hG : 0≤G)
(hJ : ∀ v w,‖J v-J w‖≤L*‖v-w‖)
(hP : ‖compatibleFrame (J x)‖≤G) (hPi : ‖(compatibleFrame (J x)).inverse‖≤G) :
∀ v w,‖frozenTargetCoefficient J x v-frozenTargetCoefficient J x w‖≤(G^3*L)*‖v-w‖ := by
intro v w
let P := compatibleFrame (J x)
have hp : ∀ z,‖P.inverse z‖≤G*‖z‖ := fun z =>
(P.inverse.le_opNorm z).trans (mul_le_mul_of_nonneg_right hPi (norm_nonneg _))
have hj : ‖J (x+P.inverse v)-J (x+P.inverse w)‖≤L*(G*‖v-w‖) := by
have hh := hJ (x+P.inverse v) (x+P.inverse w)
rw [add_sub_add_left_eq_sub,←map_sub] at hh
exact hh.trans (mul_le_mul_of_nonneg_left (hp _) hL)
rw [frozenTargetCoefficient_difference]
have h1 : ‖P.comp (J (x+P.inverse v)-J (x+P.inverse w))‖≤G*(L*(G*‖v-w‖)) :=
(P.opNorm_comp_le _).trans (mul_le_mul hP hj (norm_nonneg _) hG)
have hh := (P.comp (J (x+P.inverse v)-J (x+P.inverse w))).opNorm_comp_le P.inverse
exact hh.trans ((mul_le_mul h1 hPi (norm_nonneg _) (by positivity)).trans_eq (by ring))
def frozenCurve (J : Phase n → End n) (x : Phase n) (u : ℂ → Phase n) (z : ℂ) : Phase n :=
compatibleFrame (J x) (u z-x)
lemma frozenCurve_smooth {J : Phase n → End n} (x : Phase n) {u : ℂ → Phase n}
(hu : ContDiff ℝ ∞ u) : ContDiff ℝ ∞ (frozenCurve J x u) :=
(compatibleFrame (J x)).contDiff.comp (hu.sub contDiff_const)
lemma frozenCurve_fderiv {J : Phase n → End n} (x : Phase n) {u : ℂ → Phase n}
{z : ℂ} (hu : DifferentiableAt ℝ u z) :
fderiv ℝ (frozenCurve J x u) z=(compatibleFrame (J x)).comp (fderiv ℝ u z) := by
exact ((compatibleFrame (J x)).hasFDerivAt.comp z (hu.hasFDerivAt.sub_const x)).fderiv
lemma frozenCurve_CR {J : Phase n → End n} {x : Phase n} (hx : Compatible (J x))
{u : ℂ → Phase n} {z : ℂ} (hu : DifferentiableAt ℝ u z)
(hcr : fderiv ℝ u z Complex.I=J (u z) (fderiv ℝ u z 1)) :
fderiv ℝ (frozenCurve J x u) z Complex.I-Complex.I • fderiv ℝ (frozenCurve J x u) z 1=
frozenTargetCoefficient J x (frozenCurve J x u z) (fderiv ℝ (frozenCurve J x u) z 1) := by
rw [frozenCurve_fderiv x hu]
simp only [frozenTargetCoefficient,frozenCurve,ContinuousLinearMap.comp_apply]
rw [compatibleFrame_inverse_left hx,compatibleFrame_inverse_left hx]
rw [add_sub_cancel,hcr,sub_apply,map_sub]
have hh := compatibleFrame_intertwine hx (fderiv ℝ u z 1)
change compatibleFrame (J x) (J (u z) (fderiv ℝ u z 1))-
standardJ n (compatibleFrame (J x) (fderiv ℝ u z 1))=_
rw [←hh]
end HigherDimensionalBallPacking.Rigidity.HolderCompletion
namespace HigherDimensionalBallPacking.Rigidity
open scoped ContDiff Topology
open Set Filter
open HolderCompletion
open scoped BoundedContinuousFunction
section
variable {n : ℕ}
local instance hcbInst1 : NormedAddCommGroup (End n) := ContinuousLinearMap.toNormedAddCommGroup
local instance hcbInst2 : NormedSpace ℝ (End n) := ContinuousLinearMap.toNormedSpace
local instance hcbInst3 : NormedAddCommGroup (Phase n →L[ℝ] End n) := ContinuousLinearMap.toNormedAddCommGroup
local instance hcbInst4 : NormedSpace ℝ (Phase n →L[ℝ] End n) := ContinuousLinearMap.toNormedSpace
lemma lineHomotopy_joint_contDiffAt {J : Phase n → End n}
(hJs : ContDiff ℝ ∞ J) (hJ : ∀ x,Compatible (J x)) {v : ℝ × Phase n}
(ht : v.1∈Icc (0:ℝ) 1) :
ContDiffAt ℝ ∞ (fun v : ℝ × Phase n => lineHomotopy J v.1 v.2) v :=
contDiffAt_interpolateJ (hJs.contDiffAt.comp v contDiffAt_snd) contDiffAt_fst (hJ _) ht
lemma lineHomotopy_slice_contDiff {J : Phase n → End n}
(hJs : ContDiff ℝ ∞ J) (hJ : ∀ x,Compatible (J x)) {t : ℝ} (ht : t∈Icc (0:ℝ) 1) :
ContDiff ℝ ∞ (lineHomotopy J t) := by
apply contDiff_iff_contDiffAt.mpr
intro x
exact contDiffAt_interpolateJ hJs.contDiffAt contDiffAt_const (hJ x) ht
lemma lineHomotopy_partial_deriv {J : Phase n → End n}
(hJs : ContDiff ℝ ∞ J) (hJ : ∀ x,Compatible (J x)) {t : ℝ} (ht : t∈Icc (0:ℝ) 1) (x : Phase n) :
fderiv ℝ (lineHomotopy J t) x=
(fderiv ℝ (fun v : ℝ × Phase n => lineHomotopy J v.1 v.2) (t,x)).comp
(ContinuousLinearMap.inr ℝ ℝ (Phase n)) := by
have hj := (lineHomotopy_joint_contDiffAt hJs hJ (v := (t,x)) ht).differentiableAt (by simp)
have hg := (hasFDerivAt_const (𝕜 := ℝ) (x := x) t).prodMk (hasFDerivAt_id (𝕜 := ℝ) x)
exact (hj.hasFDerivAt.comp x hg).fderiv
lemma lineHomotopy_eventually_standard {J : Phase n → End n} {t : ℝ} (ht : t∈Icc (0:ℝ) 1)
{x : Phase n} (hx : x∉tsupport (fun x => J x-standardJ n)) :
lineHomotopy J t =ᶠ[𝓝 x] fun _ => standardJ n := by
have he := notMem_tsupport_iff_eventuallyEq.mp hx
filter_upwards [he] with y hy
have hy' : J y=standardJ n := sub_eq_zero.mp hy
change interpolateJ (J y) t=standardJ n
rw [hy']
exact interpolateJ_standard ht
lemma compatibleFrame_contDiffAt {D : Type*} [NormedAddCommGroup D] [NormedSpace ℝ D]
{A : D → End n} {x : D} (hA : ContDiffAt ℝ ∞ A x) :
ContDiffAt ℝ ∞ (fun z => compatibleFrame (A z)) x := by
simpa only [compatibleFrame,cayleyP,one_smul,relativeOperator] using
((contDiffAt_const.clm_comp hA).neg.add (contDiffAt_const (c := ContinuousLinearMap.id ℝ (Phase n))))
theorem exact_homotopy_target_bounds {J : Phase n → End n}
(hJs : ContDiff ℝ ∞ J) (hJ : ∀ x,Compatible (J x))
(hJc : HasCompactSupport (fun x => J x-standardJ n)) :
∃ L G : ℝ,0≤L ∧ 1≤G ∧
(∀ t∈Icc (0:ℝ) 1,∀ x y,‖lineHomotopy J t x-lineHomotopy J t y‖≤L*‖x-y‖) ∧
(∀ t∈Icc (0:ℝ) 1,∀ x,‖compatibleFrame (lineHomotopy J t x)‖≤G) ∧
(∀ t∈Icc (0:ℝ) 1,∀ x,‖(compatibleFrame (lineHomotopy J t x)).inverse‖≤G) := by
let K := (Icc (0:ℝ) 1) ×ˢ tsupport (fun x => J x-standardJ n)
have hK : IsCompact K := isCompact_Icc.prod hJc
let A : ℝ × Phase n → End n := fun v => lineHomotopy J v.1 v.2
let D : ℝ × Phase n → Phase n →L[ℝ] End n := fun v =>
(fderiv ℝ A v).comp (ContinuousLinearMap.inr ℝ ℝ (Phase n))
have hDc : ContinuousOn D K := by
intro v hv
exact (((lineHomotopy_joint_contDiffAt hJs hJ hv.1).continuousAt_fderiv (by simp)).clm_comp continuousAt_const).continuousWithinAt
have hPc : ContinuousOn (fun v => compatibleFrame (A v)) K := by
intro v hv
exact (compatibleFrame_contDiffAt (lineHomotopy_joint_contDiffAt hJs hJ hv.1)).continuousAt.continuousWithinAt
have hPic : ContinuousOn (fun v => (compatibleFrame (A v)).inverse) K := by
intro v hv
have hp := compatibleFrame_contDiffAt (lineHomotopy_joint_contDiffAt hJs hJ hv.1)
exact ((compatibleFrame_invertible (lineHomotopy_compatible hJ hv.1 v.2)).contDiffAt_map_inverse.comp v hp).continuousAt.continuousWithinAt
obtain ⟨B,hB⟩ := hK.exists_bound_of_continuousOn hDc
obtain ⟨P,hP⟩ := hK.exists_bound_of_continuousOn hPc
obtain ⟨Q,hQ⟩ := hK.exists_bound_of_continuousOn hPic
let L := max B 0
let G := |P|+|Q|+‖compatibleFrame (standardJ n)‖+‖(compatibleFrame (standardJ n)).inverse‖+1
have hL : 0≤L := le_max_right B 0
have hG : 1≤G := by dsimp [G]; linarith [abs_nonneg P,abs_nonneg Q,norm_nonneg (compatibleFrame (standardJ n)),norm_nonneg ((compatibleFrame (standardJ n)).inverse)]
have hLd : ∀ t∈Icc (0:ℝ) 1,∀ x,‖fderiv ℝ (lineHomotopy J t) x‖≤L := by
intro t ht x
by_cases hx : x∈tsupport (fun x => J x-standardJ n)
· rw [lineHomotopy_partial_deriv hJs hJ ht x]
exact (hB (t,x) ⟨ht,hx⟩).trans (le_max_left B 0)
· rw [(lineHomotopy_eventually_standard ht hx).fderiv_eq]
simpa only [fderiv_fun_const,Pi.zero_apply,norm_zero] using hL
refine ⟨L,G,hL,hG,?_,?_,?_⟩
· intro t ht x y
exact norm_sub_le_of_deriv_bound ((lineHomotopy_slice_contDiff hJs hJ ht).differentiable (by simp)) (hLd t ht) x y
· intro t ht x
by_cases hx : x∈tsupport (fun x => J x-standardJ n)
· have hh := (hP (t,x) ⟨ht,hx⟩).trans (le_abs_self P)
exact hh.trans (by dsimp [G]; linarith [abs_nonneg P,abs_nonneg Q,norm_nonneg (compatibleFrame (standardJ n)),norm_nonneg ((compatibleFrame (standardJ n)).inverse)])
· rw [(lineHomotopy_eventually_standard ht hx).eq_of_nhds]
dsimp [G]
linarith [abs_nonneg P,abs_nonneg Q,norm_nonneg (compatibleFrame (standardJ n)),norm_nonneg ((compatibleFrame (standardJ n)).inverse)]
· intro t ht x
by_cases hx : x∈tsupport (fun x => J x-standardJ n)
· have hh := (hQ (t,x) ⟨ht,hx⟩).trans (le_abs_self Q)
exact hh.trans (by dsimp [G]; linarith [abs_nonneg P,abs_nonneg Q,norm_nonneg (compatibleFrame (standardJ n)),norm_nonneg ((compatibleFrame (standardJ n)).inverse)])
· rw [(lineHomotopy_eventually_standard ht hx).eq_of_nhds]
dsimp [G]
linarith [abs_nonneg P,abs_nonneg Q,norm_nonneg (compatibleFrame (standardJ n)),norm_nonneg ((compatibleFrame (standardJ n)).inverse)]
end
section
variable {n : ℕ}
local instance fhcInst1 : NormedAddCommGroup (End n) := ContinuousLinearMap.toNormedAddCommGroup
local instance fhcInst2 : NormedSpace ℝ (End n) := ContinuousLinearMap.toNormedSpace
lemma frozenHomotopy_joint_contDiffAt {J : Phase n → End n}
(hJs : ContDiff ℝ ∞ J) (hJ : ∀ x,Compatible (J x))
{v : (ℝ × Phase n) × Phase n} (ht : v.1.1∈Icc (0:ℝ) 1) :
ContDiffAt ℝ ∞ (fun w : (ℝ × Phase n) × Phase n =>
frozenTargetCoefficient (lineHomotopy J w.1.1) w.1.2 w.2) v := by
have htfun : ContDiffAt ℝ ∞ (fun w : (ℝ × Phase n) × Phase n => w.1.1) v :=
contDiffAt_fst.comp v contDiffAt_fst
have hxfun : ContDiffAt ℝ ∞ (fun w : (ℝ × Phase n) × Phase n => w.1.2) v :=
contDiffAt_snd.comp v contDiffAt_fst
let A : (ℝ × Phase n) × Phase n → End n := fun w => lineHomotopy J w.1.1 w.1.2
have hA : ContDiffAt ℝ ∞ A v :=
contDiffAt_interpolateJ (hJs.contDiffAt.comp v hxfun) htfun (hJ _) ht
let P : (ℝ × Phase n) × Phase n → End n := fun w => compatibleFrame (A w)
have hP : ContDiffAt ℝ ∞ P v := compatibleFrame_contDiffAt hA
have hi : ContDiffAt ℝ ∞ (fun T : End n => T.inverse) (P v) :=
(compatibleFrame_invertible (lineHomotopy_compatible hJ ht v.1.2)).contDiffAt_map_inverse
have hPi : ContDiffAt ℝ ∞ (fun w => (P w).inverse) v := hi.comp v hP
have harg : ContDiffAt ℝ ∞ (fun w => w.1.2+(P w).inverse w.2) v :=
hxfun.add (hPi.clm_apply contDiffAt_snd)
have hB : ContDiffAt ℝ ∞ (fun w => lineHomotopy J w.1.1 (w.1.2+(P w).inverse w.2)) v :=
contDiffAt_interpolateJ (hJs.contDiffAt.comp v harg) htfun (hJ _) ht
exact (hP.clm_comp (hB.sub hA)).clm_comp hPi
lemma frozenHomotopy_tendstoUniformlyOn {J : Phase n → End n}
(hJs : ContDiff ℝ ∞ J) (hJ : ∀ x,Compatible (J x))
{t : ℕ → ℝ} (ht : ∀ i,t i∈Icc (0:ℝ) 1) {s : ℝ} (hs : Tendsto t atTop (𝓝 s))
{x : ℕ → Phase n} {y : Phase n} (hx : Tendsto x atTop (𝓝 y))
{K : Set (Phase n)} (hK : IsCompact K) :
TendstoUniformlyOn (fun i => frozenTargetCoefficient (lineHomotopy J (t i)) (x i))
(frozenTargetCoefficient (lineHomotopy J s) y) atTop K := by
have hsI : s∈Icc (0:ℝ) 1 := isClosed_Icc.mem_of_tendsto hs (Eventually.of_forall ht)
let U : Set (ℝ × Phase n) := (Icc (0:ℝ) 1) ×ˢ insert y (range x)
have hU : IsCompact U := isCompact_Icc.prod hx.isCompact_insert_range
have hc : ContinuousOn (fun w : (ℝ × Phase n) × Phase n =>
frozenTargetCoefficient (lineHomotopy J w.1.1) w.1.2 w.2) (U ×ˢ K) := by
intro w hw
exact (frozenHomotopy_joint_contDiffAt hJs hJ hw.1.1).continuousAt.continuousWithinAt
have huc := (hU.prod hK).uniformContinuousOn_of_continuous hc
have hlim := UniformContinuousOn.tendstoUniformlyOn
(F := fun a : ℝ × Phase n => frozenTargetCoefficient (lineHomotopy J a.1) a.2) huc (show (s,y)∈U from ⟨hsI,mem_insert _ _⟩)
have hp : Tendsto (fun i => (t i,x i)) atTop (𝓝[U] (s,y)) :=
tendsto_nhdsWithin_iff.mpr ⟨hs.prodMk_nhds hx,Eventually.of_forall (fun i => ⟨ht i,mem_insert_of_mem _ ⟨i,rfl⟩⟩)⟩
intro W hW
exact hp (hlim W hW)
lemma exact_frame_tendsto {J : Phase n → End n}
(hJs : ContDiff ℝ ∞ J) (hJ : ∀ x,Compatible (J x))
{t : ℕ → ℝ} (ht : ∀ i,t i∈Icc (0:ℝ) 1) {s : ℝ} (hs : Tendsto t atTop (𝓝 s))
{x : ℕ → Phase n} {y : Phase n} (hx : Tendsto x atTop (𝓝 y)) :
Tendsto (fun i => compatibleFrame (lineHomotopy J (t i) (x i))) atTop
(𝓝 (compatibleFrame (lineHomotopy J s y))) ∧
Tendsto (fun i => (compatibleFrame (lineHomotopy J (t i) (x i))).inverse) atTop
(𝓝 (compatibleFrame (lineHomotopy J s y)).inverse) := by
have hsI : s∈Icc (0:ℝ) 1 := isClosed_Icc.mem_of_tendsto hs (Eventually.of_forall ht)
have hP := compatibleFrame_contDiffAt (lineHomotopy_joint_contDiffAt hJs hJ (v := (s,y)) hsI)
have hp := hP.continuousAt.tendsto.comp (hs.prodMk_nhds hx)
refine ⟨hp,?_⟩
have hi : ContDiffAt ℝ ∞ (fun T : End n => T.inverse) (compatibleFrame (lineHomotopy J s y)) :=
(compatibleFrame_invertible (lineHomotopy_compatible hJ hsI y)).contDiffAt_map_inverse
exact hi.continuousAt.tendsto.comp hp
end
lemma weighted_gradient_selection {X : Type*} [MetricSpace X] [ProperSpace X]
{f : X → ℝ} (hf : Continuous f) (hn : ∀ x,0≤f x)
(x : X) {R : ℝ} (hR : 0<R) (hx : 0<f x) :
∃ y : X,∃ r : ℝ,0<r ∧ dist y x+r≤R ∧ 0<f y ∧
R*f x≤2*r*f y ∧ ∀ z,dist z y≤r → f z≤2*f y := by
let g : X → ℝ := fun y => (R-dist y x)*f y
have hg : Continuous g := (continuous_const.sub (continuous_id.dist continuous_const)).mul hf
obtain ⟨y,hy,hmax⟩ := (isCompact_closedBall x R).exists_isMaxOn
⟨x,Metric.mem_closedBall_self hR.le⟩ hg.continuousOn
have hm : R*f x≤(R-dist y x)*f y := by
have hh := hmax (Metric.mem_closedBall_self hR.le)
change (R-dist x x)*f x≤(R-dist y x)*f y at hh
simpa only [dist_self,sub_zero] using hh
have hdy : dist y x<R := by
by_contra! h
have hnz : (R-dist y x)*f y≤0 := mul_nonpos_of_nonpos_of_nonneg (by linarith) (hn y)
have hp := mul_pos hR hx
linarith
have hfy : 0<f y := by
by_contra! h
have hh : f y=0 := le_antisymm h (hn y)
rw [hh,mul_zero] at hm
exact (not_le_of_gt (mul_pos hR hx)) hm
let r : ℝ := (R-dist y x)/2
have hr : 0<r := by dsimp [r]; linarith
have hrr : dist y x+r≤R := by dsimp [r]; linarith
refine ⟨y,r,hr,hrr,hfy,by dsimp [r]; nlinarith [hm],?_⟩
intro z hz
have hzx : dist z x≤R := (dist_triangle z y x).trans (by linarith)
have hzg := hmax (show z∈Metric.closedBall x R from hzx)
change (R-dist z x)*f z≤(R-dist y x)*f y at hzg
have hcoef : r≤R-dist z x := by
have hh := dist_triangle z y x
dsimp [r] at *
linarith
have hh := mul_le_mul_of_nonneg_right hcoef (hn z)
have he : R-dist y x=2*r := by dsimp [r]; ring
rw [he] at hzg
have hmul : r*f z≤r*(2*f y) := (hh.trans hzg).trans_eq (by ring)
exact (mul_le_mul_iff_right₀ hr).mp hmul
variable {n : ℕ}
local instance ecgInst1 : NormedAddCommGroup (End n) := ContinuousLinearMap.toNormedAddCommGroup
local instance ecgInst2 : NormedSpace ℝ (End n) := ContinuousLinearMap.toNormedSpace
def rescaledCurve (u : ℂ → Phase n) (y : ℂ) (r : ℝ) (z : ℂ) : Phase n := u (y+r • z)
lemma rescaledCurve_smooth {u : ℂ → Phase n} (hu : ContDiff ℝ ∞ u) (y : ℂ) (r : ℝ) :
ContDiff ℝ ∞ (rescaledCurve u y r) := hu.comp (contDiff_const.add (contDiff_id.const_smul r))
lemma rescaledCurve_fderiv {u : ℂ → Phase n} (hu : ContDiff ℝ ∞ u) (y : ℂ) (r : ℝ) (z : ℂ) :
fderiv ℝ (rescaledCurve u y r) z=r • fderiv ℝ u (y+r • z) := by
have hh := (hu.differentiable (by simp) (y+r • z)).hasFDerivAt.comp z
(((ContinuousLinearMap.id ℝ ℂ).hasFDerivAt.const_smul r).const_add y)
have he : (fderiv ℝ u (y+r • z)).comp (r • ContinuousLinearMap.id ℝ ℂ)=
r • fderiv ℝ u (y+r • z) := by ext h; simp only [ContinuousLinearMap.comp_apply,smul_apply,ContinuousLinearMap.id_apply,map_smul]
rw [he] at hh
exact hh.fderiv
lemma rescaledCurve_CR {J : Phase n → End n} {u : ℂ → Phase n}
(hu : ContDiff ℝ ∞ u) (hcr : ∀ z,PseudoHolomorphicAt J u z) (y : ℂ) (r : ℝ) (z : ℂ) :
fderiv ℝ (rescaledCurve u y r) z Complex.I=
J (rescaledCurve u y r z) (fderiv ℝ (rescaledCurve u y r) z 1) := by
rw [rescaledCurve_fderiv hu y r z]
simp only [smul_apply,map_smul]
have hh := (hcr (y+r • z)).2 1
simp only [mul_one] at hh
exact congrArg (fun v => r • v) hh
lemma rescaledCurve_source_dist (y z : ℂ) {r : ℝ} (hr : 0≤r) : dist (y+r • z) y=r*‖z‖ := by
rw [dist_eq_norm,add_sub_cancel_left,norm_smul,Real.norm_eq_abs,abs_of_nonneg hr]
theorem equicontinuous_CR_derivative_bound {ι : Type*} (J : ι → Phase n → End n)
(u : ι → ℂ → Phase n) (hu : ∀ i,ContDiff ℝ ∞ (u i))
(hJc : ∀ i,Continuous (J i)) (hJ : ∀ i x,Compatible (J i x))
(hcr : ∀ i z,PseudoHolomorphicAt (J i) (u i) z)
{L G : ℝ} (hL : 0≤L) (hG : 1≤G)
(hJL : ∀ i x y,‖J i x-J i y‖≤L*‖x-y‖)
(hP : ∀ i x,‖compatibleFrame (J i x)‖≤G)
(hPi : ∀ i x,‖(compatibleFrame (J i x)).inverse‖≤G)
(hm : ∀ ε : ℝ,0<ε →∃ δ : ℝ,0<δ ∧ ∀ i x y,dist x y<δ →dist (u i x) (u i y)<ε) :
∃ M : ℝ,0<M ∧ ∀ i z,‖fderiv ℝ (u i) z‖≤M := by
have hG0 : 0<G := lt_of_lt_of_le zero_lt_one hG
obtain ⟨e,he,hell⟩ := local_nonlinear_gradient_small (E := Phase n)
(by positivity : 0≤G^3*L) (by positivity : 0≤G*2) (div_pos zero_lt_one hG0)
obtain ⟨d,hd,hmod⟩ := hm (e/G) (div_pos he hG0)
let M := max 4 (4/d)+1
have hM : 0<M := by dsimp [M]; linarith [le_max_left (4:ℝ) (4/d)]
refine ⟨M,hM,?_⟩
intro i x
by_contra! hgt
let f : ℂ → ℝ := fun z => ‖fderiv ℝ (u i) z‖
have hfx : 0<f x := hM.trans hgt
have hfc : Continuous f := ((hu i).continuous_fderiv (by simp)).norm
obtain ⟨y,s,hs,hsy,hfy,hweight,hsel⟩ := weighted_gradient_selection hfc (fun _ => norm_nonneg _) x zero_lt_one hfx
have hs1 : s≤1 := by linarith [dist_nonneg (x := y) (y := x)]
have hfx4 : 4<f x := by have hh := le_max_left (4:ℝ) (4/d); dsimp [M] at hgt; linarith
have hfxd : 4/d<f x := by have hh := le_max_right (4:ℝ) (4/d); dsimp [M] at hgt; linarith
have hfxfy : f x≤2*f y := by
have hh := mul_le_mul_of_nonneg_right hs1 hfy.le
nlinarith only [hweight,hh]
have hradius : 2/f y<s := by
apply (div_lt_iff₀ hfy).mpr
nlinarith only [hweight,hfx4]
have hor : 2/f y<d := by
have hh := (div_lt_iff₀ hd).mp hfxd
apply (div_lt_iff₀ hfy).mpr
nlinarith [mul_le_mul_of_nonneg_right hfxfy hd.le]
let r : ℝ := (f y)⁻¹
have hr : 0<r := inv_pos.mpr hfy
let v := rescaledCurve (u i) y r
have hv : ContDiff ℝ ∞ v := rescaledCurve_smooth (hu i) y r
have hv0 : v 0=u i y := by simp only [v,rescaledCurve,smul_zero,add_zero]
have hdist : ∀ z,‖z‖≤2 →dist (y+r • z) y≤2/f y := by
intro z hz
rw [rescaledCurve_source_dist y z hr.le]
have hh := mul_le_mul_of_nonneg_left hz hr.le
simpa only [r,mul_comm,div_eq_mul_inv] using hh
have hvd : ∀ z,‖z‖≤2 →‖fderiv ℝ v z‖≤2 := by
intro z hz
rw [rescaledCurve_fderiv (hu i),norm_smul,Real.norm_eq_abs,abs_of_nonneg hr.le]
have hh := hsel (y+r • z) ((hdist z hz).trans hradius.le)
have hm := mul_le_mul_of_nonneg_left hh hr.le
have hid : r*(2*f y)=2 := by dsimp [r]; field_simp
exact hm.trans_eq hid
have hvd0 : ‖fderiv ℝ v 0‖=1 := by
rw [rescaledCurve_fderiv (hu i),smul_zero,add_zero,norm_smul,Real.norm_eq_abs,abs_of_nonneg hr.le]
change (f y)⁻¹*f y=1
exact inv_mul_cancel₀ hfy.ne'
let a := u i y
let w := frozenCurve (J i) a v
have hw : ContDiff ℝ ∞ w := frozenCurve_smooth a hv
have hw0 : w 0=0 := by simp only [w,frozenCurve,hv0,a,sub_self,map_zero]
have hwb : ∀ z,‖z‖≤2 →‖w z‖≤e := by
intro z hz
have ho := hmod i (y+r • z) y ((hdist z hz).trans_lt hor)
rw [dist_eq_norm] at ho
have ht : G*‖v z-a‖<e := by
have hh := (lt_div_iff₀ hG0).mp ho
simpa only [v,rescaledCurve,a,mul_comm] using hh
exact ((compatibleFrame (J i a)).le_opNorm _).trans
((mul_le_mul_of_nonneg_right (hP i a) (norm_nonneg _)).trans ht.le)
have hwD : ∀ z,‖z‖≤2 →‖fderiv ℝ w z‖≤G*2 := by
intro z hz
rw [frozenCurve_fderiv a (hv.differentiable (by simp) z)]
exact ((compatibleFrame (J i a)).opNorm_comp_le _).trans
(mul_le_mul (hP i a) (hvd z hz) (norm_nonneg _) hG0.le)
have hwcr : ∀ z,‖z‖<2 → fderiv ℝ w z Complex.I-Complex.I • fderiv ℝ w z 1=
frozenTargetCoefficient (J i) a (w z) (fderiv ℝ w z 1) := by
intro z _
exact frozenCurve_CR (hJ i a) (hv.differentiable (by simp) z)
(rescaledCurve_CR (hu i) (hcr i) y r z)
have hh := hell (frozenTargetCoefficient (J i) a) (frozenTargetCoefficient_continuous (hJc i) a)
(frozenTargetCoefficient_zero _ _) (frozenTargetCoefficient_lipschitz hL hG0.le (hJL i) (hP i a) (hPi i a))
w hw hw0 hwb hwD hwcr
have heD : ((compatibleFrame (J i a)).inverse).comp (fderiv ℝ w 0)=fderiv ℝ v 0 := by
rw [frozenCurve_fderiv a (hv.differentiable (by simp) 0)]
apply ContinuousLinearMap.ext
intro z
exact compatibleFrame_inverse_left (hJ i a) _
have hnorm := ((compatibleFrame (J i a)).inverse).opNorm_comp_le (fderiv ℝ w 0)
rw [heD,hvd0] at hnorm
have hc : 1≤G*‖fderiv ℝ w 0‖ := hnorm.trans
(mul_le_mul_of_nonneg_right (hPi i a) (norm_nonneg _))
have hlt := (lt_div_iff₀ hG0).mp hh
nlinarith
end HigherDimensionalBallPacking.Rigidity
namespace HigherDimensionalBallPacking.Rigidity.HolderCompletion
open scoped Topology ContDiff
open Set Filter
variable {X E F : Type*} [MetricSpace X] [NormedAddCommGroup E] [NormedSpace ℝ E]
[NormedAddCommGroup F] [NormedSpace ℝ F]
omit [MetricSpace X] [NormedSpace ℝ E] in
lemma uniform_values_cauchy_on {u : ℕ → X → E} {v : X → E} {K : Set X}
(hu : TendstoUniformlyOn u v atTop K) :
∀ ε : ℝ,0<ε →∃ N : ℕ,∀ i≥N,∀ j≥N,∀ x∈K,‖u i x-u j x‖≤ε := by
have hh := (tendstoUniformlyOn_iff_restrict.mp hu)
have hc := uniform_cauchy_of_tendstoUniformly hh
intro ε hε
obtain ⟨N,hN⟩ := hc ε hε
exact ⟨N,fun i hi j hj x hx => hN i hi j hj ⟨x,hx⟩⟩
omit [MetricSpace X] in
lemma uniform_clm_cauchy_on {P : ℕ → E →L[ℝ] F} {u : ℕ → X → E} {K : Set X}
{G M : ℝ} (hG : 0≤G) (hM : 0≤M)
(hP : ∀ i,‖P i‖≤G) (hu : ∀ i,∀ x∈K,‖u i x‖≤M)
(hPc : CauchySeq P)
(huc : ∀ ε : ℝ,0<ε →∃ N : ℕ,∀ i≥N,∀ j≥N,∀ x∈K,‖u i x-u j x‖≤ε) :
∀ ε : ℝ,0<ε →∃ N : ℕ,∀ i≥N,∀ j≥N,∀ x∈K,‖P i (u i x)-P j (u j x)‖≤ε := by
intro ε hε
have hh : 0<G+M+1 := by linarith
let d := ε/(G+M+1)
have hd : 0<d := div_pos hε hh
obtain ⟨N,hN⟩ := huc d hd
obtain ⟨Q,hQ⟩ := Metric.cauchySeq_iff.mp hPc d hd
refine ⟨max N Q,fun i hi j hj x hx => ?_⟩
have h1 := hN i ((le_max_left _ _).trans hi) j ((le_max_left _ _).trans hj) x hx
have h2 := hQ i ((le_max_right _ _).trans hi) j ((le_max_right _ _).trans hj)
rw [dist_eq_norm] at h2
have hbound := clm_pair_difference (P i) (P j) (u i x) (u j x)
have hA := mul_le_mul (hP i) h1 (norm_nonneg _) hG
have hB := mul_le_mul h2.le (hu j x hx) (norm_nonneg _) hd.le
have he : G*d+d*M≤ε := by
have hid : (G+M+1)*d=ε := mul_div_cancel₀ ε (ne_of_gt hh)
nlinarith
exact hbound.trans ((add_le_add hA hB).trans he)
variable {n : ℕ}
lemma centered_rescaled_cauchy {u : ℕ → ℂ → Phase n} {v : ℂ → Phase n}
(hu : ∀ K : Set ℂ,IsCompact K →TendstoUniformlyOn u v atTop K) (c : ℂ) (r : ℝ) :
∀ ε : ℝ,0<ε →∃ N : ℕ,∀ i≥N,∀ j≥N,∀ z,‖z‖≤2 →
‖(rescaledCurve (u i) c r z-u i c)-(rescaledCurve (u j) c r z-u j c)‖≤ε := by
let K := (fun z : ℂ => c+r • z) '' Metric.closedBall (0:ℂ) 2
have hK : IsCompact K := (isCompact_closedBall (0:ℂ) 2).image (continuous_const.add (continuous_id.const_smul r))
have hval := uniform_values_cauchy_on (hu K hK)
intro ε hε
obtain ⟨N,hN⟩ := hval (ε/2) (half_pos hε)
refine ⟨N,fun i hi j hj z hz => ?_⟩
have hzK : c+r • z∈K := ⟨z,by simpa only [Metric.mem_closedBall,dist_zero_right] using hz,rfl⟩
have hcK : c∈K := ⟨0,by simp,by simp⟩
have h1 := hN i hi j hj (c+r • z) hzK
have h2 := hN i hi j hj c hcK
have he : (rescaledCurve (u i) c r z-u i c)-(rescaledCurve (u j) c r z-u j c)=
(u i (c+r • z)-u j (c+r • z))-(u i c-u j c) := by dsimp [rescaledCurve]; abel
rw [he]
exact (norm_sub_le _ _).trans (by linarith)
end HigherDimensionalBallPacking.Rigidity.HolderCompletion
end
end OAI