openAI-math-dataset / lean /OAI /Analysis /DirectCrouzeix /ExtremalEmbedding.lean
roseking's picture
Add lean source and binary files (part 17)
ddc84c5 verified
Raw History Blame Contribute Delete
9.88 kB
/-
Portions of this file have been adapted from an external source.
The source copyright header and license information are preserved below.
-/
import OAI.Analysis.DirectCrouzeix.NormalFamilies
namespace OAI
noncomputable section
open scoped Matrix Matrix.Norms.L2Operator Kronecker
noncomputable section
open MeasureTheory Set Filter Metric
open scoped Topology Interval ENNReal NNReal ComplexConjugate
noncomputable section
open Filter Metric Set
open scoped Topology ComplexConjugate
namespace DirectCrouzeix
namespace Conformal
open Function Complex
open scoped Pointwise
/-
Copyright (c) 2026 Yury Kudryashov. All rights reserved.
Released under Apache 2.0 license as described in the file LICENSE.
Authors: Yury Kudryashov
The following conformal embedding declarations are adapted from Mathlib.Analysis.Complex.RiemannMapping.
Source: https://github.com/leanprover-community/mathlib4/blob/d13f23b723b8a846827a245b89c10fc7d3f11612/Mathlib/Analysis/Complex/RiemannMapping.lean
This code has been modified.
-/
theorem exists_injective_not_dense_image_deriv_ne_zero {U : Set ℂ} (hUo : IsOpen U)
(hUc : IsSimplyConnected U) (hU : U ≠ univ) :
∃ f : ℂ → ℂ, Injective f ∧ ¬Dense (f '' U) ∧ ∀ z ∈ U, deriv f z ≠ 0 := by
wlog hU₀ : 0 ∉ U
· rw [ne_univ_iff_exists_notMem] at hU
rcases hU with ⟨a, ha⟩
specialize this (hUo.vadd (-a)) (by simpa) (by simp [hU])
(by simpa [mem_vadd_set_iff_neg_vadd_mem])
rcases this with ⟨f, hf_inj, hf_dense, hdf⟩
refine ⟨f ∘ (-a + ·), hf_inj.comp (add_right_injective (-a)), ?_, fun z hz ↦ ?_⟩
· simpa only [← image_vadd, Set.image_image] using! hf_dense
· simpa [Function.comp_def, deriv_comp_const_add] using hdf (-a + z) (mapsTo_image _ _ hz)
rcases exists_continuousOn_pow_eq hUc hUo continuousOn_id (by rwa [image_id]) two_ne_zero
with ⟨f, hfc, hf_inv⟩
replace hf_inv : LeftInverse (· ^ 2) f := hf_inv
have hf₀ : ∀ z ∈ U, f z ≠ 0 := by
intro z hz hfz
simpa [hfz, (ne_of_mem_of_not_mem hz hU₀).symm] using hf_inv z
have hdf : ∀ z ∈ U, HasStrictDerivAt f (2 * f z)⁻¹ z := by
intro z hz
apply HasStrictDerivAt.of_local_left_inverse
· exact hfc.continuousAt <| hUo.mem_nhds hz
· simpa using hasStrictDerivAt_pow 2 (f z)
· simpa using hf₀ z hz
· exact .of_forall hf_inv
refine ⟨f, hf_inv.injective, ?_, fun z hz ↦ ?_⟩
·
simp only [Dense, not_forall, mem_closure_iff_frequently, not_frequently]
rcases hUc.nonempty with ⟨x, hx⟩
use -f x
have : f '' U ∈ 𝓝 (f x) := by
rw [← (hdf x hx).map_nhds_eq (by simpa using hf₀ x hx)]
exact Filter.image_mem_map <| hUo.mem_nhds hx
rw [nhds_neg, eventually_neg]
filter_upwards [this]
rintro _ ⟨a, ha, rfl⟩ ⟨b, hb, hab⟩
obtain rfl : a = b := by
rw [← hf_inv b, hab]
simp [hf_inv a]
refine hf₀ a ha ?_
linear_combination hab / 2
· simpa [(hdf z hz).hasDerivAt.deriv] using hf₀ z hz
lemma exists_mapsTo_unitBall_injOn_deriv_ne_zero {U : Set ℂ} (hUo : IsOpen U)
(hUc : IsSimplyConnected U) (hU : U ≠ univ) :
∃ f : ℂ → ℂ, MapsTo f U (ball 0 1) ∧ InjOn f U ∧ ∀ z ∈ U, deriv f z ≠ 0 := by
rcases exists_injective_not_dense_image_deriv_ne_zero hUo hUc hU with ⟨f, hf_inj, hfd, hdf⟩
obtain ⟨x, ε, hε₀, hε⟩ : ∃ (x : ℂ) (ε : ℝ), 0 < ε ∧ ∀ a ∈ U, ε < dist (f a) x := by
simpa [Dense, mem_closure_iff_nhds_basis Metric.nhds_basis_closedBall] using hfd
have hfx : ∀ z ∈ U, f z ≠ x := fun z hz ↦ by simpa using hε₀.trans (hε z hz)
use fun z ↦ ε / (f z - x)
refine ⟨?mapsTo, ?injOn, ?deriv⟩
case mapsTo =>
intro z hz
rw [mem_ball_zero_iff, norm_div, norm_real, Real.norm_of_nonneg hε₀.le, div_lt_one₀]
· simpa [dist_eq_norm] using hε z hz
· simpa [sub_eq_zero] using hfx z hz
case injOn =>
intro z hz w hw heq
simpa [div_eq_mul_inv, hε₀.ne', hf_inj.eq_iff] using heq
case deriv =>
intro z hz
have hdz : DifferentiableAt ℂ f z := differentiableAt_of_deriv_ne_zero (hdf z hz)
rw [(hasDerivAt_const _ _).fun_div (hdz.hasDerivAt.sub_const _) _ |>.deriv] <;>
simp [*, ne_of_gt, sub_eq_zero]
structure NormalizedEmbedding (U : Set ℂ) (a : ℂ) (f : ℂ → ℂ) : Prop where
holomorphic : DifferentiableOn ℂ f U
disk : MapsTo f U (ball 0 1)
injective : InjOn f U
derivative : ∀ z ∈ U, deriv f z ≠ 0
normalized : f a = 0
theorem exists_normalizedEmbedding {U : Set ℂ} (hU : IsOpen U)
(hUc : IsSimplyConnected U) (hproper : U ≠ univ) {a : ℂ} (ha : a ∈ U) :
∃ f, NormalizedEmbedding U a f := by
obtain ⟨e, hed, hei, he'⟩ :=
exists_mapsTo_unitBall_injOn_deriv_ne_zero hU hUc hproper
have he : DifferentiableOn ℂ e U := fun z hz =>
(differentiableAt_of_deriv_ne_zero (he' z hz)).differentiableWithinAt
let f : ℂ → ℂ := fun z => (e z - e a) / 2
have hf' (z : ℂ) (hz : z ∈ U) : HasDerivAt f (deriv e z / 2) z :=
((he.hasDerivAt (hU.mem_nhds hz)).sub_const _).div_const _
refine ⟨f, ⟨he.sub_const _ |>.div_const _, ?_, ?_, ?_, by simp [f]⟩⟩
· intro z hz
rw [mem_ball_zero_iff]
dsimp [f]
rw [norm_div]
norm_num
have h1 := norm_sub_le (e z) (e a)
have h2 : ‖e z‖ < 1 := mem_ball_zero_iff.mp (hed hz)
have h3 : ‖e a‖ < 1 := mem_ball_zero_iff.mp (hed ha)
linarith
· intro z hz w hw heq
apply hei hz hw
dsimp [f] at heq
exact sub_left_injective ((div_left_inj' (by norm_num : (2 : ℂ) ≠ 0)).mp heq)
· intro z hz
rw [(hf' z hz).deriv]
exact div_ne_zero (he' z hz) (by norm_num)
theorem extend_restrict_eventuallyEq {U : Set ℂ} (hU : IsOpen U)
{f : ℂ → ℂ} {a : ℂ} (ha : a ∈ U) :
extend U (fun z : U => f z) =ᶠ[𝓝 a] f := by
filter_upwards [hU.mem_nhds ha] with z hz
simp [extend, hz]
theorem exists_extremalEmbedding {U : Set ℂ} (hU : IsOpen U)
(hUc : IsSimplyConnected U) (hproper : U ≠ univ) {a : ℂ} (ha : a ∈ U) :
∃ f, NormalizedEmbedding U a f ∧
∀ g, NormalizedEmbedding U a g → ‖deriv g a‖ ≤ ‖deriv f a‖ := by
let : LocallyCompactSpace U := hU.locallyCompactSpace
let S : Set C(U, ℂ) := {f | NormalizedEmbedding U a (extend U f)}
have hS : ∀ f ∈ S, DifferentiableOn ℂ (extend U f) U ∧ ∀ z : U, ‖f z‖ ≤ 1 := by
intro f hf
refine ⟨hf.holomorphic, fun z => ?_⟩
simpa only [extend_coe] using (mem_ball_zero_iff.mp (hf.disk z.property)).le
have hCS := bounded_holomorphic_compact hU S hS
have hLS (g : C(U, ℂ)) (hg : g ∈ closure S) := bounded_holomorphic_closure hU hS hg
have hmk (f : ℂ → ℂ) (hf : NormalizedEmbedding U a f) :
(⟨fun z : U => f z, hf.holomorphic.continuousOn.domRestrict⟩ : C(U, ℂ)) ∈ S := by
let g : C(U, ℂ) := ⟨fun z : U => f z, hf.holomorphic.continuousOn.domRestrict⟩
have heq (z : ℂ) (hz : z ∈ U) : extend U g =ᶠ[𝓝 z] f :=
extend_restrict_eventuallyEq hU hz
change NormalizedEmbedding U a (extend U g)
refine ⟨?_, ?_, ?_, ?_, ?_⟩
· intro z hz
exact ((hf.holomorphic.differentiableAt (hU.mem_nhds hz)).congr_of_eventuallyEq
(heq z hz)).differentiableWithinAt
· intro z hz
rw [(heq z hz).self_of_nhds]
exact hf.disk hz
· intro z hz w hw he
apply hf.injective hz hw
rwa [(heq z hz).self_of_nhds, (heq w hw).self_of_nhds] at he
· intro z hz
rw [(heq z hz).deriv_eq]
exact hf.derivative z hz
· rw [(heq a ha).self_of_nhds]
exact hf.normalized
obtain ⟨f₀, hf₀⟩ := exists_normalizedEmbedding hU hUc hproper ha
let F₀ : C(U, ℂ) := ⟨fun z : U => f₀ z, hf₀.holomorphic.continuousOn.domRestrict⟩
have hF₀ : F₀ ∈ S := hmk _ hf₀
obtain ⟨g, hg, hmax⟩ := hCS.exists_isMaxOn ⟨F₀, subset_closure hF₀⟩
(derivative_continuousOn hU (fun f hf => (hLS _ hf).1) ha).norm
have hpos : 0 < ‖deriv (extend U g) a‖ :=
(norm_pos_iff.mpr (hF₀.derivative a ha)).trans_le (hmax (subset_closure hF₀))
obtain ⟨F, hF, hl⟩ := mem_closure_iff_seq_limit.mp hg
have hlu := continuousMap_limit hU hl
have hd := (hLS _ hg).1
have hn : extend U g a = 0 := by
exact tendsto_nhds_unique (hlu.tendsto_at ha)
(by simpa only [(hF _).normalized] using tendsto_const_nhds (x := (0 : ℂ)))
have hi : InjOn (extend U g) U := by
apply (constant_or_injective_limit hU hUc.isPathConnected.isConnected.isPreconnected
(fun n => (hF n).holomorphic) (fun n => (hF n).injective) hlu).resolve_left
rintro ⟨c, hc⟩
have he : extend U g =ᶠ[𝓝 a] (fun _ => c) := by
filter_upwards [hU.mem_nhds ha] with z hz
exact hc hz
have hz := he.deriv_eq
simp only [deriv_const] at hz
exact (ne_of_gt hpos) (by rw [hz, norm_zero])
have hder : ∀ z ∈ U, deriv (extend U g) z ≠ 0 := by
have hdl := hlu.deriv (Eventually.of_forall (fun n => (hF n).holomorphic)) hU
apply (zero_or_nonvanishing_limit hU hUc.isPathConnected.isConnected.isPreconnected
(fun n => ((hF n).holomorphic.analyticOnNhd hU).deriv.differentiableOn)
(fun n => (hF n).derivative) hdl).resolve_left
intro he
exact (ne_of_gt hpos) (by rw [he ha, Pi.zero_apply, norm_zero])
have hgN : NormalizedEmbedding U a (extend U g) :=
⟨hd, strict_bound_of_normalized hU hUc.isPathConnected.isConnected.isPreconnected hd
(fun z hz => by simpa [extend, hz] using (hLS _ hg).2 ⟨z, hz⟩) ha hn, hi, hder, hn⟩
refine ⟨extend U g, hgN, fun f hf => ?_⟩
have hm := hmax (subset_closure (hmk f hf))
change ‖deriv (extend U (fun z : U => f z)) a‖ ≤ _ at hm
rwa [(extend_restrict_eventuallyEq hU ha).deriv_eq] at hm
end Conformal
end DirectCrouzeix
end
end
end
end OAI