OAI/Geometry/RCD/Coordinates/LimitChart.lean
3 declarations, 0 contain sorry, 0 declared as axioms
From finite-scale Taylor estimates to the limiting chart
Geometric increments, derivative bounds on scale-selected value-space segments, and linear separation give two-sided distance bounds for the limit. Euclidean invariance of domain gives its open image, as in Hatcher, Algebraic Topology (2002), Theorem 2B.3.
- theorem
OAI.RegularPointCoordinates.quarter_scale_arithmeticline 20 - theorem
OAI.RegularPointCoordinates.exists_limit_dist_bounds_of_taylorline 34Source documentation
The all-pairs metric conclusion from scale-selected Taylor estimates and a geometric increment bound. All source distances are ambient ones.
theorem exists_limit_dist_bounds_of_taylor {X : Type*} [MetricSpace X] {n : ℕ} (u : X → Euclidean n) (h : ℕ → Euclidean n → Euclidean n) (dh : ℕ → Euclidean n → Euclidean n →L[ℝ] Euclidean n) (ddh : ℕ → Euclidean n → Euclidean n →L[ℝ] (Euclidean n →L[ℝ] Euclidean n)) {q C : ℝ} (hq : 1 ≤ q) (hstep : ∀ i x, dist (h i (u x)) (h (i + 1) (u x)) ≤ C * (1 / 2 : ℝ) ^ i) (hpairs : ∀ x z : X, x ≠ z → ∃ i M, 0 ≤ M ∧ (∀ y ∈ segment ℝ (u x) (u z), HasFDerivAt (h i) (dh i y) y) ∧ (∀ y ∈ segment ℝ (u x) (u z), HasFDerivAt (dh i) (ddh i y) y) ∧ …Mentions: OAI.RegularPointCoordinates.Euclidean
- theorem
OAI.RegularPointCoordinates.hasOpenBilipschitzChart_of_taylor_dataline 85Source documentation
Scale-selected Taylor bounds and geometric increment estimates give an open bi-Lipschitz chart by Euclidean invariance of domain.
theorem hasOpenBilipschitzChart_of_taylor_data {X : Type*} [MetricSpace X] {n : ℕ} {p : X} (hIOD : EuclideanInvarianceOfDomain n) {U : Set X} (hU : IsOpen U) (hp : p ∈ U) {O : Set (Euclidean n)} (hO : IsOpen O) (u : U ≃ₜ O) (h : ℕ → Euclidean n → Euclidean n) (dh : ℕ → Euclidean n → Euclidean n →L[ℝ] Euclidean n) (ddh : ℕ → Euclidean n → Euclidean n →L[ℝ] (Euclidean n →L[ℝ] Euclidean n)) {q C : ℝ} (hq : 1 ≤ q) (hstep : ∀ i (x : U), dist (h i (u x)) (h (i + 1) (u x)) ≤ C * (1 / 2 : ℝ) ^ i) …Mentions: OAI.RegularPointCoordinates.EuclideanInvarianceOfDomain, OAI.RegularPointCoordinates.Euclidean