roseking's picture
Add lean source and binary files (part 65)
720fa25 verified
Raw History Blame Contribute Delete
36.4 kB
import Mathlib
import OAI.Geometry.BallPacking.Necessity.FreezeJ
import OAI.Geometry.BallPacking.Necessity.SchauderBounds
namespace OAI
noncomputable section
open scoped ContDiff Topology
open Set Function Filter
open scoped ContDiff Topology Manifold
open Set Function Filter MeasureTheory
open Set Function MeasureTheory
open Set Function
open SymplecticBallPacking.Hamiltonian (Plane planarCurl)
open SymplecticBallPacking.Hamiltonian (Plane planarCurl angularOneForm radiusSq planarArea planarArea_apply)
open SymplecticBallPacking.Hamiltonian (Plane planarCurl angularOneForm)
open SymplecticBallPacking.Hamiltonian (Plane angularOneForm)
open SymplecticBallPacking.Hamiltonian
open SymplecticBallPacking.Hamiltonian (Plane)
open Set Filter Function
open Set Filter MeasureTheory
open scoped Topology
open Set Filter Finset
open scoped ContDiff Topology Classical
open Set Filter
open scoped BoundedContinuousFunction ContDiff Topology
open Set Function Filter Topology
open scoped NNReal
open scoped ContDiff Topology BoundedContinuousFunction
open Function
open scoped ContDiff Topology
open Set Filter Function
namespace HigherDimensionalBallPacking.Rigidity
theorem exists_nested_complex_cutoffs :
∃ (χ θ : ℂ → ℝ) (D : ℝ), 0 ≤ D ∧
ContDiff ℝ ∞ χ ∧ HasCompactSupport χ ∧
ContDiff ℝ ∞ θ ∧ HasCompactSupport θ ∧
tsupport χ ⊆ Metric.closedBall (0:ℂ) 2 ∧
tsupport θ ⊆ Metric.closedBall (0:ℂ) 3 ∧
χ =ᶠ[𝓝 0] (fun _ => (1:ℝ)) ∧
(∀ z ∈ tsupport χ, θ z=1) ∧
(∀ z, |χ z| ≤ 1 ∧ |θ z| ≤ 1) ∧
(∀ z, ‖fderiv ℝ χ z‖ ≤ D ∧ ‖fderiv ℝ (fderiv ℝ χ) z‖ ≤ D ∧
‖fderiv ℝ θ z‖ ≤ D) := by
let χ : ContDiffBump (0:ℂ) := ⟨1,2,by norm_num,by norm_num⟩
let θ : ContDiffBump (0:ℂ) := ⟨2,3,by norm_num,by norm_num⟩
have hχ : ContDiff ℝ ∞ (χ : ℂ → ℝ) := χ.contDiff
have hθ : ContDiff ℝ ∞ (θ : ℂ → ℝ) := θ.contDiff
have hχD : ContDiff ℝ ∞ (fderiv ℝ (χ : ℂ → ℝ)) := hχ.fderiv_right (by simp)
obtain ⟨D₁,hD₁,hB₁⟩ := ((χ.hasCompactSupport.fderiv ℝ).isCompact_range
(hχ.continuous_fderiv (by simp))).isBounded.exists_pos_norm_le
have hbD2 : Bornology.IsBounded (range (fderiv ℝ (fderiv ℝ (χ : ℂ → ℝ)))) :=
(((χ.hasCompactSupport.fderiv ℝ).fderiv ℝ).isCompact_range
(hχD.continuous_fderiv (by simp))).isBounded
obtain ⟨D₂,hD₂,hB₂⟩ := hbD2.exists_pos_norm_le
obtain ⟨D₃,hD₃,hB₃⟩ := ((θ.hasCompactSupport.fderiv ℝ).isCompact_range
(hθ.continuous_fderiv (by simp))).isBounded.exists_pos_norm_le
refine ⟨χ,θ,D₁+D₂+D₃,by positivity,hχ,χ.hasCompactSupport,hθ,θ.hasCompactSupport,?_,?_,?_,?_,?_,?_⟩
· rw [χ.tsupport_eq]
· rw [θ.tsupport_eq]
· exact χ.eventuallyEq_one
· intro z hz
rw [χ.tsupport_eq] at hz
exact θ.one_of_mem_closedBall hz
· intro z
constructor
· rw [abs_of_nonneg χ.nonneg]
exact χ.le_one
· rw [abs_of_nonneg θ.nonneg]
exact θ.le_one
· intro z
have h1 := hB₁ _ (mem_range_self z)
have h2 := hB₂ _ (mem_range_self z)
have h3 := hB₃ _ (mem_range_self z)
exact ⟨by linarith,by linarith,by linarith⟩
open scoped Topology ContDiff
open Set Filter Function
section
variable {E F : Type*} [NormedAddCommGroup E] [NormedSpace ℝ E]
[NormedAddCommGroup F] [NormedSpace ℝ F]
theorem derivative_bound_of_holder_and_values (f : E → F)
(hf : Differentiable ℝ f) {M C r α : ℝ} (hM : 0 ≤ M) (hC : 0 ≤ C)
(hr : 0 < r) (hα : 0 ≤ α)
(hv : ∀ z ∈ Metric.closedBall (0:E) r, ‖f z‖ ≤ M)
(hD : ∀ z ∈ Metric.closedBall (0:E) r,
‖fderiv ℝ f z-fderiv ℝ f 0‖ ≤ C*‖z‖^α) :
‖fderiv ℝ f 0‖ ≤ 2*M/r+C*r^α := by
apply ContinuousLinearMap.opNorm_le_of_unit_norm (by positivity)
intro v hvn
have hrv : r • v ∈ Metric.closedBall (0:E) r := by
simp [Metric.mem_closedBall,dist_zero_right,norm_smul,Real.norm_eq_abs,abs_of_pos hr,hvn]
have h0 : (0:E) ∈ Metric.closedBall (0:E) r := Metric.mem_closedBall_self hr.le
have herr := (convex_closedBall (0:E) r).norm_image_sub_le_of_norm_fderiv_le'
(fun z _ => hf z) (φ := fderiv ℝ f 0) (C := C*r^α)
(fun z hz => (hD z hz).trans (mul_le_mul_of_nonneg_left
(Real.rpow_le_rpow (norm_nonneg _) (by simpa using hz) hα) hC)) h0 hrv
simp only [sub_zero,norm_smul,Real.norm_eq_abs,abs_of_pos hr,hvn,mul_one] at herr
have hval : ‖f (r • v)-f 0‖ ≤ 2*M :=
(norm_sub_le _ _).trans (by linarith [hv (r • v) hrv,hv 0 h0])
have hsum := norm_sub_le (f (r • v)-f 0)
(f (r • v)-f 0-(fderiv ℝ f 0) (r • v))
rw [sub_sub_cancel] at hsum
rw [map_smul,norm_smul,Real.norm_eq_abs,abs_of_pos hr] at hsum
rw [map_smul] at herr
have hbound : r*‖(fderiv ℝ f 0) v‖ ≤ 2*M+(C*r^α)*r := by linarith
have hh : ‖(fderiv ℝ f 0) v‖ ≤ (2*M+(C*r^α)*r)/r :=
(le_div_iff₀ hr).mpr (by nlinarith)
convert hh using 1
field_simp
theorem norm_fderiv_tendsto_zero_of_holder {f : ℕ → E → F}
(hf : ∀ j, Differentiable ℝ (f j)) {C α : ℝ} (hC : 0 ≤ C) (hα : 0 < α)
(hD : ∀ᶠ j in atTop, ∀ x y, ‖fderiv ℝ (f j) x-fderiv ℝ (f j) y‖ ≤ C*‖x-y‖^α)
(hv : TendstoUniformlyOn f (fun _ => (0:F)) atTop (Metric.closedBall (0:E) 1)) :
Tendsto (fun j => ‖fderiv ℝ (f j) 0‖) atTop (𝓝 0) := by
apply tendsto_order.2
constructor
· intro a ha
exact Eventually.of_forall (fun j => ha.trans_le (norm_nonneg _))
intro ε hε
have hpow : Tendsto (fun r : ℝ => C*r^α) (𝓝[>] 0) (𝓝 0) := by
simpa [Real.zero_rpow (ne_of_gt hα)] using
((tendsto_const_nhds : Tendsto (fun _ : ℝ => C) (𝓝[>] 0) (𝓝 C)).mul
((Real.continuousAt_rpow_const 0 α (Or.inr hα.le)).tendsto.mono_left nhdsWithin_le_nhds))
have hs := hpow.eventually (gt_mem_nhds (show 0 < ε/2 by linarith))
have hs' : ∀ᶠ r : ℝ in 𝓝[>] 0, r < 1 :=
(eventually_lt_nhds (show (0:ℝ) < 1 by norm_num)).filter_mono nhdsWithin_le_nhds
have hpos : ∀ᶠ r : ℝ in 𝓝[>] 0, 0 < r := self_mem_nhdsWithin
obtain ⟨r,hr,hr1,hsmall⟩ := (hpos.and (hs'.and hs)).exists
have hδ : 0 < ε*r/8 := by positivity
have hev := (Metric.tendstoUniformlyOn_iff.mp hv) (ε*r/8) hδ
filter_upwards [hev,hD] with j hj hjD
have hb := derivative_bound_of_holder_and_values (f j) (hf j) (M := ε*r/8)
(C := C) hδ.le hC hr hα.le
(fun z hz => le_of_lt (by
have hh := hj z (Metric.closedBall_subset_closedBall hr1.le hz)
simpa [dist_eq_norm] using hh))
(fun z _ => by simpa using hjD z 0)
have hid : 2*(ε*r/8)/r=ε/4 := by field_simp; ring
rw [hid] at hb
linarith
end
open scoped ContDiff Topology BoundedContinuousFunction
open Set Filter Function
section
variable {E : Type} [NormedAddCommGroup E] [NormedSpace ℂ E] [CompleteSpace E]
local instance gradientLimitsC1NormedAddCommGroup (α : ℝ) : NormedAddCommGroup (C1HolderSpace E α) := inferInstance
local instance gradientLimitsC1NormedSpace (α : ℝ) : NormedSpace ℝ (C1HolderSpace E α) := inferInstance
local instance gradientLimitsCompactNormedAddCommGroup (F : Type) [NormedAddCommGroup F] [NormedSpace ℝ F] (R : ℝ) :
NormedAddCommGroup (CompactHolderSpace F R) := inferInstance
local instance gradientLimitsCompactNormedSpace (F : Type) [NormedAddCommGroup F] [NormedSpace ℝ F] (R : ℝ) :
NormedSpace ℝ (CompactHolderSpace F R) := inferInstance
private theorem exists_small_principal_const (B K : ℝ) :
∃ δ : ℝ, 0 < δ ∧ δ ≤ 1 ∧
B*max δ ((2*δ)^((2:ℝ)/3)*K^((1:ℝ)/3)) ≤ 1/2 := by
let g : ℝ → ℝ := fun r => B*max r ((2*r)^((2:ℝ)/3)*K^((1:ℝ)/3))
have hg : Continuous g := by
exact continuous_const.mul (continuous_id.max
(((Real.continuous_rpow_const (by norm_num : (0:ℝ) ≤ 2/3)).comp
(continuous_const.mul continuous_id)).mul continuous_const))
have hg0 : g 0=0 := by simp [g,Real.zero_rpow (show (2:ℝ)/3 ≠ 0 by norm_num)]
have hev : ∀ᶠ r : ℝ in 𝓝[>] 0, g r < 1/2 := by
have ht : Tendsto g (𝓝[>] 0) (𝓝 (g 0)) :=
hg.continuousAt.tendsto.mono_left nhdsWithin_le_nhds
exact ht.eventually (gt_mem_nhds (show g 0 < (1:ℝ)/2 by rw [hg0]; norm_num))
have hr1 : ∀ᶠ r : ℝ in 𝓝[>] 0, r < 1 :=
(eventually_lt_nhds (show (0:ℝ) < 1 by norm_num)).filter_mono nhdsWithin_le_nhds
have hr0 : ∀ᶠ r : ℝ in 𝓝[>] 0, 0 < r := self_mem_nhdsWithin
obtain ⟨r,h0,h1,hg⟩ := (hr0.and (hr1.and hev)).exists
exact ⟨r,h0,h1.le,hg.le⟩
theorem smallCR_sequence_derivative_zero
(u : ℕ → ℂ → E) (hu : ∀ j, ContDiff ℝ ∞ (u j))
(A : ℕ → ℂ → E →L[ℝ] E) (hA : ∀ j, ContDiff ℝ ∞ (A j))
{L K : ℝ} (hL : 0 ≤ L) (hK : 0 ≤ K)
(huD : ∀ᶠ j in atTop, ∀ z ∈ Metric.closedBall (0:ℂ) 3, ‖fderiv ℝ (u j) z‖ ≤ L)
(hAD : ∀ᶠ j in atTop, ∀ z ∈ Metric.closedBall (0:ℂ) 3, ‖fderiv ℝ (A j) z‖ ≤ K)
(hCR : ∀ᶠ j in atTop, ∀ z ∈ Metric.closedBall (0:ℂ) 3,
fderiv ℝ (u j) z Complex.I-Complex.I • fderiv ℝ (u j) z 1=
A j z (fderiv ℝ (u j) z 1))
(hu0 : TendstoUniformlyOn u (fun _ => (0:E)) atTop (Metric.closedBall (0:ℂ) 3))
(hA0 : TendstoUniformlyOn A (fun _ => (0:E →L[ℝ] E)) atTop (Metric.closedBall (0:ℂ) 3)) :
Tendsto (fun j => ‖fderiv ℝ (u j) 0‖) atTop (𝓝 0) := by
obtain ⟨χ,θ,D,hD,hχ,hχc,hθ,hθc,hχ2,hθ3,hχ1,hθ1,hχθ,hd⟩ := exists_nested_complex_cutoffs
have hχ3 : tsupport χ ⊆ Metric.closedBall (0:ℂ) 3 :=
hχ2.trans (Metric.closedBall_subset_closedBall (by norm_num))
let B := 2*‖compactCRInverse (E := E) 3‖*‖c1HolderDx (E := E)‖
obtain ⟨δ,hδ,hδ1,hsmall⟩ := exists_small_principal_const B (K+D)
have hu1 : ∀ᶠ j in atTop, ∀ z ∈ Metric.closedBall (0:ℂ) 3, ‖u j z‖ ≤ 1 := by
filter_upwards [Metric.tendstoUniformlyOn_iff.mp hu0 1 (by norm_num)] with j hj
intro z hz
exact le_of_lt (by simpa [dist_eq_norm] using hj z hz)
have hAδ : ∀ᶠ j in atTop, ∀ z ∈ Metric.closedBall (0:ℂ) 3, ‖A j z‖ ≤ δ := by
filter_upwards [Metric.tendstoUniformlyOn_iff.mp hA0 δ hδ] with j hj
intro z hz
exact le_of_lt (by simpa [dist_eq_norm] using hj z hz)
let v : ℕ → ℂ → E := fun j z => χ z • u j z
have hv : ∀ j, ContDiff ℝ ∞ (v j) := fun j => hχ.smul (hu j)
have hv0 : TendstoUniformlyOn v (fun _ => (0:E)) atTop (Metric.closedBall (0:ℂ) 1) := by
rw [Metric.tendstoUniformlyOn_iff]
intro ε hε
filter_upwards [Metric.tendstoUniformlyOn_iff.mp hu0 ε hε] with j hj
intro z hz
simp only [dist_zero_left,v,norm_smul,Real.norm_eq_abs]
exact (mul_le_mul_of_nonneg_right (hχθ z).1 (norm_nonneg _)).trans_lt (by
simpa only [one_mul,dist_zero_left] using hj z
(Metric.closedBall_subset_closedBall (by norm_num : (1:ℝ) ≤ 3) hz))
have hvD : ∀ᶠ j in atTop, ∀ x y,
‖fderiv ℝ (v j) x-fderiv ℝ (v j) y‖ ≤
localSchauderBound E 3 D L (K+D)*‖x-y‖^((1:ℝ)/3) := by
filter_upwards [huD,hAD,hCR,hu1,hAδ] with j hjD hjAD hjCR hj1 hjAδ
let AA : ℂ → E →L[ℝ] E := fun z => θ z • A j z
have hAA : ContDiff ℝ ∞ AA := hθ.smul (hA j)
have hAAc : HasCompactSupport AA := hθc.smul_right
have hAAs : tsupport AA ⊆ Metric.closedBall (0:ℂ) 3 :=
(tsupport_smul_subset_left θ (A j)).trans hθ3
have hb := cutoff_smul_bounds hθ (hA j) hθ3 (C := 1) (D := D) (M := δ) (L := K)
(by norm_num) hD hδ.le hK (fun z => (hχθ z).2) (fun z => (hd z).2.2) hjAδ hjAD
have hAAv : ∀ z, ‖AA z‖ ≤ δ := by simpa only [one_mul] using hb.1
have hAAD : ∀ z, ‖fderiv ℝ AA z‖ ≤ K+D := by
intro z
exact (hb.2 z).trans (by nlinarith)
apply cutoff_smallCR_schauder 3 χ hχ hχc hχ3 AA hAA hAAc hAAs (u j) (hu j)
hD hL (add_nonneg hK hD) hδ.le hδ1 (fun z => (hd z).1)
(fun z => (hd z).2.1) (fun z hz => hj1 z (hχ3 hz)) (fun z hz => hjD z (hχ3 hz))
hAAv hAAD
· intro z hz
rw [show AA z=A j z by simp only [AA,hθ1 z hz,one_smul]]
exact hjCR z (hχ3 hz)
· dsimp [B] at hsmall
nlinarith only [hsmall]
have hC : 0 ≤ localSchauderBound E 3 D L (K+D) := by
dsimp [localSchauderBound]
positivity
have hlim := norm_fderiv_tendsto_zero_of_holder (fun j => (hv j).differentiable (by simp))
hC (by norm_num : (0:ℝ) < 1/3) hvD hv0
convert hlim using 1
funext j
congr 1
apply Filter.EventuallyEq.fderiv_eq
filter_upwards [hχ1] with z hz
simp only [v,hz,one_smul]
end
open scoped Topology
open Set Filter Function
section
variable {E F G : Type*} [NormedAddCommGroup E] [NormedSpace ℝ E]
[NormedAddCommGroup F] [NormedSpace ℝ F]
[NormedAddCommGroup G] [NormedSpace ℝ G]
omit [NormedSpace ℝ E] [NormedSpace ℝ F] [NormedAddCommGroup G] [NormedSpace ℝ G] in
theorem locally_uniform_comp_uniform_constant
[NormedSpace ℝ E] [NormedSpace ℝ F] [NormedAddCommGroup G] [NormedSpace ℝ G]
{f : ℕ → E → F} {v : E → F}
(hv : TendstoLocallyUniformly f v atTop) {x : E} (hvc : ContinuousAt v x)
{g : ℕ → G → E} {K : Set G}
(hg : TendstoUniformlyOn g (fun _ => x) atTop K) :
TendstoUniformlyOn (fun j z => f j (g j z)) (fun _ => v x) atTop K := by
rw [Metric.tendstoUniformlyOn_iff]
intro ε hε
have he := show {p : F × F | dist p.1 p.2 < ε/2} ∈ uniformity F from
Metric.dist_mem_uniformity (by linarith)
obtain ⟨U,hU,hUf⟩ := hv _ he x
obtain ⟨V,hV,hVc⟩ := Metric.continuousAt_iff.mp hvc (ε/2) (by linarith)
obtain ⟨δ,hδ,hδU⟩ := Metric.mem_nhds_iff.mp hU
have hmin : 0 < min δ V := lt_min hδ hV
filter_upwards [hUf,Metric.tendstoUniformlyOn_iff.mp hg (min δ V) hmin] with j hj hjg
intro z hz
have hgdist : dist (g j z) x < min δ V := by simpa [dist_comm] using hjg z hz
have hmem : g j z ∈ U := hδU (hgdist.trans_le (min_le_left _ _))
have h1 := hj (g j z) hmem
have h2 := hVc (lt_of_lt_of_le hgdist (min_le_right _ _))
have ht := dist_triangle (v x) (v (g j z)) (f j (g j z))
rw [dist_comm (v x) (v (g j z))] at ht
linarith
omit [NormedSpace ℝ E] [NormedSpace ℝ F] [NormedAddCommGroup G] [NormedSpace ℝ G] in
theorem continuousAt_comp_uniform_constant
[NormedSpace ℝ E] [NormedSpace ℝ F] [NormedAddCommGroup G] [NormedSpace ℝ G]
{g : E → F} {x : E}
(hg : ContinuousAt g x) {u : ℕ → G → E} {K : Set G}
(hu : TendstoUniformlyOn u (fun _ => x) atTop K) :
TendstoUniformlyOn (fun j z => g (u j z)) (fun _ => g x) atTop K := by
rw [Metric.tendstoUniformlyOn_iff]
intro ε hε
obtain ⟨δ,hδ,hb⟩ := Metric.continuousAt_iff.mp hg ε hε
filter_upwards [Metric.tendstoUniformlyOn_iff.mp hu δ hδ] with j hj
intro z hz
rw [dist_comm]
exact hb (by simpa [dist_comm] using hj z hz)
omit [NormedSpace ℝ E] [NormedSpace ℝ F] [NormedAddCommGroup G] [NormedSpace ℝ G] in
theorem uniform_constant_prod
[NormedSpace ℝ E] [NormedSpace ℝ F] [NormedAddCommGroup G] [NormedSpace ℝ G]
{x : ℕ → E} {p : E} (hx : Tendsto x atTop (𝓝 p))
{u : ℕ → G → F} {q : F} {K : Set G}
(hu : TendstoUniformlyOn u (fun _ => q) atTop K) :
TendstoUniformlyOn (fun j z => (x j,u j z)) (fun _ => (p,q)) atTop K := by
rw [Metric.tendstoUniformlyOn_iff]
intro ε hε
filter_upwards [Metric.tendsto_nhds.mp hx ε hε,Metric.tendstoUniformlyOn_iff.mp hu ε hε] with j hj hju
intro z hz
rw [Prod.dist_eq]
exact max_lt (by simpa [dist_comm] using hj) (hju z hz)
theorem affine_rescale_uniform_constant {x : ℕ → E} {c : E}
(hx : Tendsto x atTop (𝓝 c)) {r : ℕ → ℝ} (hr : Tendsto r atTop (𝓝 0))
{K : Set E} (hK : Bornology.IsBounded K) :
TendstoUniformlyOn (fun j z => x j+r j • z) (fun _ => c) atTop K := by
obtain ⟨M,hM,hMb⟩ := hK.exists_pos_norm_le
rw [Metric.tendstoUniformlyOn_iff]
intro ε hε
have hsmall : ∀ᶠ j in atTop, dist (x j) c+|r j| * M < ε := by
have ht : Tendsto (fun j => dist (x j) c+|r j| * M) atTop (𝓝 0) := by
simpa using (hx.dist (tendsto_const_nhds (x := c))).add (hr.abs.mul_const M)
exact ht.eventually (gt_mem_nhds hε)
filter_upwards [hsmall] with j hj
intro z hz
rw [dist_comm,dist_eq_norm]
have he : x j+r j • z-c=(x j-c)+r j • z := by abel
rw [he]
apply (norm_add_le _ _).trans_lt
rw [norm_smul,Real.norm_eq_abs]
apply lt_of_le_of_lt _ hj
rw [dist_eq_norm]
exact add_le_add le_rfl (mul_le_mul_of_nonneg_left (hMb z hz) (abs_nonneg _))
theorem rescaled_maps_uniform_constant {f : ℕ → E → F} {v : E → F}
(hv : TendstoLocallyUniformly f v atTop) {x : ℕ → E} {c : E}
(hvc : ContinuousAt v c) (hx : Tendsto x atTop (𝓝 c))
{r : ℕ → ℝ} (hr : Tendsto r atTop (𝓝 0)) {K : Set E} (hK : Bornology.IsBounded K) :
TendstoUniformlyOn (fun j z => f j (x j+r j • z)) (fun _ => v c) atTop K :=
locally_uniform_comp_uniform_constant hv hvc (affine_rescale_uniform_constant hx hr hK)
end
open scoped ContDiff Topology
open Set Filter Function
section
open HigherDimensionalBallPacking.Rigidity
def frameConjugation {n : ℕ} (S : Phase n ≃L[ℝ] Phase n) : End n →L[ℝ] End n :=
(ContinuousLinearMap.compL ℝ (Phase n) (Phase n) (Phase n) S.toContinuousLinearMap).comp
((ContinuousLinearMap.compL ℝ (Phase n) (Phase n) (Phase n)).flip S.symm.toContinuousLinearMap)
@[simp] theorem frameConjugation_apply {n : ℕ} (S : Phase n ≃L[ℝ] Phase n) (B : End n) :
frameConjugation S B=S.toContinuousLinearMap.comp (B.comp S.symm.toContinuousLinearMap) := rfl
theorem frozenCoefficient_fderiv {n : ℕ} (S : Phase n ≃L[ℝ] Phase n) (J : End n)
{B : ℂ → End n} (hB : Differentiable ℝ B) (z : ℂ) :
fderiv ℝ (frozenCoefficient S J B) z=(frameConjugation S).comp (fderiv ℝ B z) :=
((frameConjugation S).hasFDerivAt.comp z ((hB z).hasFDerivAt.sub_const J)).fderiv
theorem frozen_CR_no_gradient_loss {n : ℕ}
(u : ℕ → ℂ → Phase n) (hu : ∀ j, ContDiff ℝ ∞ (u j))
(B : ℕ → ℂ → End n) (hB : ∀ j, ContDiff ℝ ∞ (B j))
(p : Phase n) (J : End n) (hJ : Compatible J)
{L K : ℝ} (hL : 0 ≤ L) (hK : 0 ≤ K)
(huD : ∀ᶠ j in atTop, ∀ z ∈ Metric.closedBall (0:ℂ) 3, ‖fderiv ℝ (u j) z‖ ≤ L)
(hBD : ∀ᶠ j in atTop, ∀ z ∈ Metric.closedBall (0:ℂ) 3, ‖fderiv ℝ (B j) z‖ ≤ K)
(hCR : ∀ᶠ j in atTop, ∀ z ∈ Metric.closedBall (0:ℂ) 3,
fderiv ℝ (u j) z Complex.I=B j z (fderiv ℝ (u j) z 1))
(hu0 : TendstoUniformlyOn u (fun _ => p) atTop (Metric.closedBall (0:ℂ) 3))
(hB0 : TendstoUniformlyOn B (fun _ => J) atTop (Metric.closedBall (0:ℂ) 3)) :
Tendsto (fun j => ‖fderiv ℝ (u j) 0‖) atTop (𝓝 0) := by
obtain ⟨S,hS⟩ := compatible_standard_frame hJ
let U : ℕ → ℂ → Phase n := fun j => centeredFrame S p (u j)
let A : ℕ → ℂ → End n := fun j => frozenCoefficient S J (B j)
have hU : ∀ j, ContDiff ℝ ∞ (U j) := fun j => centeredFrame_smooth S p (hu j)
have hA : ∀ j, ContDiff ℝ ∞ (A j) := fun j => frozenCoefficient_smooth S J (hB j)
have hUD : ∀ᶠ j in atTop, ∀ z ∈ Metric.closedBall (0:ℂ) 3,
‖fderiv ℝ (U j) z‖ ≤ ‖S.toContinuousLinearMap‖*L := by
filter_upwards [huD] with j hj
intro z hz
rw [show fderiv ℝ (U j) z=S.toContinuousLinearMap.comp (fderiv ℝ (u j) z) from
centeredFrame_fderiv S p ((hu j).differentiable (by simp)) z]
exact (S.toContinuousLinearMap.opNorm_comp_le _).trans
(mul_le_mul_of_nonneg_left (hj z hz) (norm_nonneg _))
have hAD : ∀ᶠ j in atTop, ∀ z ∈ Metric.closedBall (0:ℂ) 3,
‖fderiv ℝ (A j) z‖ ≤ ‖frameConjugation S‖*K := by
filter_upwards [hBD] with j hj
intro z hz
rw [show fderiv ℝ (A j) z=(frameConjugation S).comp (fderiv ℝ (B j) z) from
frozenCoefficient_fderiv S J ((hB j).differentiable (by simp)) z]
exact ((frameConjugation S).opNorm_comp_le _).trans
(mul_le_mul_of_nonneg_left (hj z hz) (norm_nonneg _))
have hACR : ∀ᶠ j in atTop, ∀ z ∈ Metric.closedBall (0:ℂ) 3,
fderiv ℝ (U j) z Complex.I-Complex.I • fderiv ℝ (U j) z 1=
A j z (fderiv ℝ (U j) z 1) := by
filter_upwards [hCR] with j hj
intro z hz
exact frozen_CR_equation S J hS p ((hu j).differentiable (by simp)) (B j) (hj z hz)
have hU0 : TendstoUniformlyOn U (fun _ => (0:Phase n)) atTop (Metric.closedBall (0:ℂ) 3) := by
have hc : ContinuousAt (fun x : Phase n => S (x-p)) p :=
S.continuous.continuousAt.comp (continuousAt_id.sub continuousAt_const)
convert continuousAt_comp_uniform_constant hc hu0 using 1
all_goals try simp only [U,sub_self,map_zero]
all_goals rfl
have hA0 : TendstoUniformlyOn A (fun _ => (0:End n)) atTop (Metric.closedBall (0:ℂ) 3) := by
have hc : ContinuousAt (fun x : End n => frameConjugation S (x-J)) J :=
(frameConjugation S).continuous.continuousAt.comp (continuousAt_id.sub continuousAt_const)
convert continuousAt_comp_uniform_constant hc hB0 using 1
all_goals try simp only [A,frameConjugation_apply,sub_self,map_zero]
all_goals rfl
have hlim := smallCR_sequence_derivative_zero U hU A hA
(mul_nonneg (norm_nonneg S.toContinuousLinearMap) hL)
(mul_nonneg (norm_nonneg (frameConjugation S)) hK) hUD hAD hACR hU0 hA0
apply squeeze_zero (fun j => norm_nonneg _)
(fun j => show ‖fderiv ℝ (u j) 0‖ ≤ ‖S.symm.toContinuousLinearMap‖*‖fderiv ℝ (U j) 0‖ from ?_)
(by simpa using hlim.const_mul ‖S.symm.toContinuousLinearMap‖)
have he : fderiv ℝ (u j) 0=S.symm.toContinuousLinearMap.comp (fderiv ℝ (U j) 0) := by
rw [show fderiv ℝ (U j) 0=S.toContinuousLinearMap.comp (fderiv ℝ (u j) 0) from
centeredFrame_fderiv S p ((hu j).differentiable (by simp)) 0]
apply ContinuousLinearMap.ext
intro z
change (fderiv ℝ (u j) 0) z=S.symm (S ((fderiv ℝ (u j) 0) z))
simp
rw [he]
exact S.symm.toContinuousLinearMap.opNorm_comp_le _
end
open scoped ContDiff Topology
open Set Filter Function
section
open HigherDimensionalBallPacking.Rigidity
theorem lineHomotopy_contDiffAt {n : ℕ} {J : Phase n → End n}
(hJs : ContDiff ℝ ∞ J) (hJ : ∀ x, Compatible (J x))
{y : ℝ × Phase n} (hy : y.1 ∈ Icc (0:ℝ) 1) :
ContDiffAt ℝ ∞ (fun y : ℝ × Phase n => lineHomotopy J y.1 y.2) y :=
contDiffAt_interpolateJ (hJs.contDiffAt.comp y contDiffAt_snd)
contDiffAt_fst (hJ y.2) hy
theorem homotopy_CR_no_gradient_loss {n : ℕ} {J : Phase n → End n}
(hJs : ContDiff ℝ ∞ J) (hJ : ∀ x, Compatible (J x))
(t : ℕ → ℝ) (ht : ∀ j, t j ∈ Icc (0:ℝ) 1) {s : ℝ}
(hts : Tendsto t atTop (𝓝 s))
(u : ℕ → ℂ → Phase n) (hu : ∀ j, ContDiff ℝ ∞ (u j)) (p : Phase n)
{L : ℝ} (hL : 0 ≤ L)
(huD : ∀ᶠ j in atTop, ∀ z ∈ Metric.closedBall (0:ℂ) 3, ‖fderiv ℝ (u j) z‖ ≤ L)
(hCR : ∀ᶠ j in atTop, ∀ z ∈ Metric.closedBall (0:ℂ) 3,
fderiv ℝ (u j) z Complex.I=lineHomotopy J (t j) (u j z) (fderiv ℝ (u j) z 1))
(hu0 : TendstoUniformlyOn u (fun _ => p) atTop (Metric.closedBall (0:ℂ) 3)) :
Tendsto (fun j => ‖fderiv ℝ (u j) 0‖) atTop (𝓝 0) := by
let H : ℝ × Phase n → End n := fun y => lineHomotopy J y.1 y.2
let B : ℕ → ℂ → End n := fun j z => H (t j,u j z)
have hs : s ∈ Icc (0:ℝ) 1 := isClosed_Icc.mem_of_tendsto hts (Eventually.of_forall ht)
have hH (y : ℝ × Phase n) (hy : y.1 ∈ Icc (0:ℝ) 1) : ContDiffAt ℝ ∞ H y :=
lineHomotopy_contDiffAt hJs hJ hy
have hB (j : ℕ) : ContDiff ℝ ∞ (B j) := by
rw [contDiff_iff_contDiffAt]
intro z
exact ContDiffAt.comp (g := H) (f := fun z => (t j,u j z)) z
(hH (t j,u j z) (ht j)) (contDiffAt_const.prodMk (hu j).contDiffAt)
have hBounded : Bornology.IsBounded
((fderiv ℝ H) '' (Icc (0:ℝ) 1 ×ˢ Metric.closedBall p 1)) :=
((isCompact_Icc.prod (isCompact_closedBall p 1)).image_of_continuousOn
(fun y hy => ((hH y hy.1).continuousAt_fderiv (by simp)).continuousWithinAt)).isBounded
obtain ⟨K,hK,hKb⟩ := hBounded.exists_pos_norm_le
have hB0 : TendstoUniformlyOn B (fun _ => H (s,p)) atTop (Metric.closedBall (0:ℂ) 3) := by
convert continuousAt_comp_uniform_constant (hH (s,p) hs).continuousAt
(uniform_constant_prod hts hu0) using 1
have hBD : ∀ᶠ j in atTop, ∀ z ∈ Metric.closedBall (0:ℂ) 3,
‖fderiv ℝ (B j) z‖ ≤ K*L := by
filter_upwards [huD,Metric.tendstoUniformlyOn_iff.mp hu0 1 (by norm_num)] with j hj hju
intro z hz
have hmem : (t j,u j z) ∈ Icc (0:ℝ) 1 ×ˢ Metric.closedBall p 1 :=
⟨ht j,by simpa [Metric.mem_closedBall,dist_comm] using (hju z hz).le⟩
have hd : HasFDerivAt (fun z => (t j,u j z))
((0 : ℂ →L[ℝ] ℝ).prod (fderiv ℝ (u j) z)) z :=
(hasFDerivAt_const (t j) z).prodMk ((hu j).differentiable (by simp) z).hasFDerivAt
have he : fderiv ℝ (B j) z=(fderiv ℝ H (t j,u j z)).comp
((0 : ℂ →L[ℝ] ℝ).prod (fderiv ℝ (u j) z)) :=
(HasFDerivAt.comp (g := H) (f := fun z => (t j,u j z)) z
((hH (t j,u j z) (ht j)).differentiableAt (by simp)).hasFDerivAt hd).fderiv
rw [he]
apply ((fderiv ℝ H (t j,u j z)).opNorm_comp_le _).trans
have hnorm : ‖(0 : ℂ →L[ℝ] ℝ).prod (fderiv ℝ (u j) z)‖=‖fderiv ℝ (u j) z‖ := by
rw [ContinuousLinearMap.opNorm_prod,Prod.norm_def,norm_zero,max_eq_right (norm_nonneg _)]
rw [hnorm]
exact mul_le_mul (hKb _ ⟨(t j,u j z),hmem,rfl⟩) (hj z hz) (norm_nonneg _) hK.le
exact frozen_CR_no_gradient_loss u hu B hB p (H (s,p))
(lineHomotopy_compatible hJ hs p) hL (mul_nonneg hK.le hL) huD hBD hCR hu0 hB0
end
open scoped ContDiff Topology
open Set Filter Function
section
variable {F : Type*} [NormedAddCommGroup F] [NormedSpace ℝ F]
def rescaleMap (u : ℂ → F) (x : ℂ) (r : ℝ) : ℂ → F := fun z => u (x+r • z)
theorem rescaleMap_smooth {u : ℂ → F} (hu : ContDiff ℝ ∞ u) (x : ℂ) (r : ℝ) :
ContDiff ℝ ∞ (rescaleMap u x r) := by
exact ContDiff.comp (g := u) (f := fun z : ℂ => x+r • z) hu
(contDiff_const.add (contDiff_id.const_smul r))
theorem rescaleMap_fderiv {u : ℂ → F} (hu : Differentiable ℝ u) (x : ℂ) (r : ℝ) (z : ℂ) :
fderiv ℝ (rescaleMap u x r) z=r • fderiv ℝ u (x+r • z) := by
have hd : HasFDerivAt (fun z : ℂ => x+r • z) (r • ContinuousLinearMap.id ℝ ℂ) z :=
by
have hh := (hasFDerivAt_const (𝕜 := ℝ) x z).add ((hasFDerivAt_id (𝕜 := ℝ) z).const_smul r)
simp only [zero_add] at hh
convert hh using 1
rfl
have he := (HasFDerivAt.comp (g := u) (f := fun z : ℂ => x+r • z) z
(hu (x+r • z)).hasFDerivAt hd).fderiv
simp only [Function.comp_def,ContinuousLinearMap.comp_smul,
ContinuousLinearMap.comp_id] at he
convert he using 1
rfl
theorem rescaleMap_norm_fderiv {u : ℂ → F} (hu : Differentiable ℝ u)
(x : ℂ) (r : ℝ) (z : ℂ) :
‖fderiv ℝ (rescaleMap u x r) z‖=|r| * ‖fderiv ℝ u (x+r • z)‖ := by
rw [rescaleMap_fderiv hu,norm_smul,Real.norm_eq_abs]
theorem weighted_rescale_bounds {u : ℂ → F} (hu : Differentiable ℝ u)
{x c : ℂ} {R : ℝ} (hg : 0 < ‖fderiv ℝ u x‖)
(hm : 6 ≤ (R-dist x c)*‖fderiv ℝ u x‖)
(hb : ∀ y ∈ Metric.closedBall x ((R-dist x c)/2),
‖fderiv ℝ u y‖ ≤ 2*‖fderiv ℝ u x‖) :
‖fderiv ℝ (rescaleMap u x ‖fderiv ℝ u x‖⁻¹) 0‖=1 ∧
∀ z ∈ Metric.closedBall (0:ℂ) 3,
‖fderiv ℝ (rescaleMap u x ‖fderiv ℝ u x‖⁻¹) z‖ ≤ 2 := by
have hr : 0 ≤ ‖fderiv ℝ u x‖⁻¹ := inv_nonneg.mpr hg.le
constructor
· rw [rescaleMap_norm_fderiv hu,abs_of_nonneg hr,smul_zero,add_zero,inv_mul_cancel₀ hg.ne']
· intro z hz
have hhalf : ‖fderiv ℝ u x‖⁻¹*3 ≤ (R-dist x c)/2 := by
have hh := mul_le_mul_of_nonneg_right hm hr
rw [mul_assoc,mul_inv_cancel₀ hg.ne',mul_one] at hh
linarith
have hmem : x+‖fderiv ℝ u x‖⁻¹ • z ∈ Metric.closedBall x ((R-dist x c)/2) := by
rw [Metric.mem_closedBall,dist_eq_norm,add_sub_cancel_left,norm_smul,Real.norm_eq_abs,
abs_of_nonneg hr]
exact (mul_le_mul_of_nonneg_left (by simpa using hz : ‖z‖ ≤ 3) hr).trans hhalf
rw [rescaleMap_norm_fderiv hu,abs_of_nonneg hr]
calc
_ ≤ ‖fderiv ℝ u x‖⁻¹*(2*‖fderiv ℝ u x‖) := mul_le_mul_of_nonneg_left (hb _ hmem) hr
_ = 2 := by rw [mul_left_comm,inv_mul_cancel₀ hg.ne',mul_one]
theorem rescaleMap_CR {n : ℕ} {J : Phase n → End n} {u : ℂ → Phase n}
(hu : Differentiable ℝ u) (hCR : ∀ z, PseudoHolomorphicAt J u z)
(x : ℂ) (r : ℝ) (z : ℂ) :
fderiv ℝ (rescaleMap u x r) z Complex.I=
J (rescaleMap u x r z) (fderiv ℝ (rescaleMap u x r) z 1) := by
rw [rescaleMap_fderiv hu]
simpa only [smul_apply,map_smul,mul_one,rescaleMap] using
congrArg (fun v : Phase n => r • v) ((hCR (x+r • z)).2 1)
end
open scoped ContDiff Topology
open Set Filter Function
section
variable {F : Type*} [NormedAddCommGroup F] [NormedSpace ℝ F]
theorem weighted_gradient_maximum (f : ℂ → F) (hf : ContDiff ℝ ∞ f)
(c : ℂ) {R : ℝ} (hR : 0 < R) (hgrad : 0 < ‖fderiv ℝ f c‖) :
∃ x ∈ Metric.ball c R,
R*‖fderiv ℝ f c‖ ≤ (R-dist x c)*‖fderiv ℝ f x‖ ∧
‖fderiv ℝ f c‖ ≤ ‖fderiv ℝ f x‖ ∧
∀ y ∈ Metric.closedBall x ((R-dist x c)/2),
‖fderiv ℝ f y‖ ≤ 2*‖fderiv ℝ f x‖ := by
let g : ℂ → ℝ := fun z => (R-dist z c)*‖fderiv ℝ f z‖
have hg : Continuous g :=
(continuous_const.sub (continuous_id.dist continuous_const)).mul
((hf.continuous_fderiv (by simp)).norm)
obtain ⟨x,hx,hxm⟩ := (isCompact_closedBall c R).exists_isMaxOn
(Metric.nonempty_closedBall.mpr hR.le) hg.continuousOn
have hcm : c ∈ Metric.closedBall c R := Metric.mem_closedBall_self hR.le
have hcx : R*‖fderiv ℝ f c‖ ≤ (R-dist x c)*‖fderiv ℝ f x‖ := by
simpa only [Set.mem_ofPred_eq,g,dist_self,sub_zero] using hxm hcm
have hxp : 0 < R-dist x c := by
have hm : 0 < (R-dist x c)*‖fderiv ℝ f x‖ := (mul_pos hR hgrad).trans_le hcx
exact pos_of_mul_pos_left hm (norm_nonneg _)
have hxmem : x ∈ Metric.ball c R := by
rw [Metric.mem_ball]
linarith
have hgx : ‖fderiv ℝ f c‖ ≤ ‖fderiv ℝ f x‖ := by
apply le_of_mul_le_mul_left (a := R)
· calc
R*‖fderiv ℝ f c‖ ≤ (R-dist x c)*‖fderiv ℝ f x‖ := hcx
_ ≤ R*‖fderiv ℝ f x‖ := mul_le_mul_of_nonneg_right (by linarith [dist_nonneg (x := x) (y := c)]) (norm_nonneg _)
· exact hR
refine ⟨x,hxmem,hcx,hgx,?_⟩
intro y hy
have hyx : dist y x ≤ (R-dist x c)/2 := Metric.mem_closedBall.mp hy
have hyc : dist y c ≤ (R+dist x c)/2 := by
have hh := dist_triangle y x c
linarith
have hymem : y ∈ Metric.closedBall c R := by
rw [Metric.mem_closedBall]
linarith
have hxy := hxm hymem
change (R-dist y c)*‖fderiv ℝ f y‖ ≤ (R-dist x c)*‖fderiv ℝ f x‖ at hxy
have hb : ((R-dist x c)/2)*‖fderiv ℝ f y‖ ≤
(R-dist y c)*‖fderiv ℝ f y‖ :=
mul_le_mul_of_nonneg_right (by linarith) (norm_nonneg _)
have hh := hb.trans hxy
nlinarith
end
open scoped ContDiff Topology
open Set Filter Function
open HigherDimensionalBallPacking.Rigidity
theorem locally_uniform_reindex {E F : Type*} [TopologicalSpace E] [UniformSpace F]
{u : ℕ → E → F} {v : E → F} (hv : TendstoLocallyUniformly u v atTop)
{a : ℕ → ℕ} (ha : Tendsto a atTop atTop) :
TendstoLocallyUniformly (fun j => u (a j)) v atTop := by
intro V hV x
obtain ⟨U,hU,hUV⟩ := hv V hV x
exact ⟨U,hU,ha.eventually hUV⟩
theorem homotopy_C0_gradient_bound {n : ℕ} {J : Phase n → End n}
(hJs : ContDiff ℝ ∞ J) (hJ : ∀ x, Compatible (J x))
(t : ℕ → ℝ) (ht : ∀ j, t j ∈ Icc (0:ℝ) 1) {s : ℝ}
(hts : Tendsto t atTop (𝓝 s))
(u : ℕ → ℂ → Phase n) (hu : ∀ j, ContDiff ℝ ∞ (u j))
(hCR : ∀ j z, PseudoHolomorphicAt (lineHomotopy J (t j)) (u j) z)
(v : ℂ → Phase n) (hv : TendstoLocallyUniformly u v atTop)
(c : ℂ) {R : ℝ} (_hR : 0 ≤ R) :
∃ L ≥ 0, ∀ᶠ j in atTop, ∀ z ∈ Metric.closedBall c R, ‖fderiv ℝ (u j) z‖ ≤ L := by
by_contra hn
have hbad (j : ℕ) : ∃ i ≥ j, ∃ z ∈ Metric.closedBall c R,
(j:ℝ)+1 < ‖fderiv ℝ (u i) z‖ := by
have hnot : ¬ ∀ᶠ i in atTop, ∀ z ∈ Metric.closedBall c R,
‖fderiv ℝ (u i) z‖ ≤ (j:ℝ)+1 := by
intro hh
exact hn ⟨(j:ℝ)+1,by positivity,hh⟩
rw [Filter.eventually_atTop] at hnot
push Not at hnot
obtain ⟨i,hi,z,hz,hbig⟩ := hnot j
exact ⟨i,hi,z,hz,hbig⟩
choose a ha z hz hbig using hbad
have hat : Tendsto a atTop atTop := tendsto_atTop_mono ha tendsto_id
have hpos (j : ℕ) : 0 < ‖fderiv ℝ (u (a j)) (z j)‖ := lt_trans (by positivity) (hbig j)
choose x hx hweight hlarger hlocal using
(fun j => weighted_gradient_maximum (u (a j)) (hu (a j)) (z j) (by norm_num : (0:ℝ)<1) (hpos j))
have hxmem (j : ℕ) : x j ∈ Metric.closedBall c (R+1) := by
have h1 : dist (x j) (z j) < 1 := hx j
have h2 : dist (z j) c ≤ R := hz j
rw [Metric.mem_closedBall]
linarith [dist_triangle (x j) (z j) c]
obtain ⟨d,hd,φ,hφ,hφx⟩ := (isCompact_closedBall c (R+1)).tendsto_subseq hxmem
let b : ℕ → ℕ := fun j => a (φ j)
have hbt : Tendsto b atTop atTop := hat.comp hφ.tendsto_atTop
let g : ℕ → ℝ := fun j => ‖fderiv ℝ (u (b j)) (x (φ j))‖
have hgp (j : ℕ) : 0 < g j := (hpos (φ j)).trans_le (hlarger (φ j))
have hgb (j : ℕ) : (φ j:ℝ)+1 < g j := (hbig (φ j)).trans_le (hlarger (φ j))
have hgt : Tendsto g atTop atTop := by
apply tendsto_atTop_mono (fun j => (le_add_of_nonneg_right (by norm_num : (0:ℝ) ≤ 1)).trans (hgb j).le)
exact tendsto_natCast_atTop_atTop.comp hφ.tendsto_atTop
let r : ℕ → ℝ := fun j => (g j)⁻¹
have hrt : Tendsto r atTop (𝓝 0) := tendsto_inv_atTop_zero.comp hgt
let U : ℕ → ℂ → Phase n := fun j => rescaleMap (u (b j)) (x (φ j)) (r j)
have hUs (j : ℕ) : ContDiff ℝ ∞ (U j) := rescaleMap_smooth (hu (b j)) _ _
have hlim : TendstoUniformlyOn U (fun _ => v d) atTop (Metric.closedBall (0:ℂ) 3) := by
have hv' := locally_uniform_reindex hv hbt
have hvc : Continuous v := hv.continuous (Eventually.of_forall (fun j => (hu j).continuous)).frequently
convert rescaled_maps_uniform_constant hv' hvc.continuousAt hφx hrt
(Metric.isBounded_closedBall (x := (0:ℂ)) (r := 3)) using 1
rfl
have hUb : ∀ᶠ j in atTop, ‖fderiv ℝ (U j) 0‖=1 ∧
∀ z ∈ Metric.closedBall (0:ℂ) 3, ‖fderiv ℝ (U j) z‖ ≤ 2 := by
filter_upwards [eventually_ge_atTop (6:ℕ)] with j hj
apply weighted_rescale_bounds ((hu (b j)).differentiable (by simp)) (hgp j)
· have hφj : j ≤ φ j := hφ.id_le j
have h6 : (6:ℝ) ≤ φ j := by exact_mod_cast le_trans hj hφj
have hw := hweight (φ j)
dsimp [g,b] at hgb
nlinarith [hbig (φ j)]
· exact hlocal (φ j)
have hUCR : ∀ j z, fderiv ℝ (U j) z Complex.I=
lineHomotopy J (t (b j)) (U j z) (fderiv ℝ (U j) z 1) := by
intro j z
exact rescaleMap_CR ((hu (b j)).differentiable (by simp)) (hCR (b j)) _ _ _
have hzero := homotopy_CR_no_gradient_loss hJs hJ (fun j => t (b j))
(fun j => ht (b j)) (hts.comp hbt) U hUs (v d) (by norm_num : (0:ℝ) ≤ 2)
(hUb.mono (fun j hj => hj.2)) (Eventually.of_forall (fun j z _ => hUCR j z)) hlim
have hone : Tendsto (fun j => ‖fderiv ℝ (U j) 0‖) atTop (𝓝 1) :=
tendsto_const_nhds.congr' (hUb.mono (fun j hj => hj.1.symm))
have he : (0:ℝ)=1 := tendsto_nhds_unique hzero hone
norm_num at he
end HigherDimensionalBallPacking.Rigidity
end
end OAI