Local Second-Order Taylor Remainder
ProvedFunctionalInequalities.Analysis.local_taylor_two_readablefunctional-inequalitieskls-conjecturekls-modularkls-readablelog-concave
This is a local Taylor estimate in finite-dimensional Euclidean space.
Let be twice continuously differentiable at , and let . Then there exists such that every with satisfies
The result supplies a quantitative second-order remainder bound near one point and is used as a technical ingredient in touching-test arguments.
Original Lean declaration header
Within namespace FunctionalInequalities.Analysis. Shown in its original module context. Proof omitted.
private lemma local_taylor_two
{n : ℕ} {ψ : EuclideanSpace ℝ (Fin n) → ℝ}
{x₀ : EuclideanSpace ℝ (Fin n)}
(hψ : ContDiffAt ℝ 2 ψ x₀) {ε : ℝ} (hε : 0 < ε) :
∃ r > 0, ∀ x ∈ ball x₀ r,
|ψ x - (ψ x₀ + fderiv ℝ ψ x₀ (x - x₀) +
(1 / 2 : ℝ) *
(fderiv ℝ (fderiv ℝ ψ) x₀ (x - x₀)) (x - x₀))| ≤
ε * ‖x - x₀‖ ^ 2
Module navigation
Module: Analysis/Convex/Viscosity.
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Source excerpt, lines 261–269 · Frozen source 408915f.
Preamble
import Definitions.Def_KLSModular_FunctionalInequalities_Analysis_Convex_Viscosity open Set Metric Filter
Formal statement
lemma FunctionalInequalities.Analysis.local_taylor_two_readable
{n : ℕ} {ψ : EuclideanSpace ℝ (Fin n) → ℝ}
{x₀ : EuclideanSpace ℝ (Fin n)}
(hψ : ContDiffAt ℝ 2 ψ x₀) {ε : ℝ} (hε : 0 < ε) :
∃ r > 0, ∀ x ∈ ball x₀ r,
|ψ x - (ψ x₀ + fderiv ℝ ψ x₀ (x - x₀) +
(1 / 2 : ℝ) *
(fderiv ℝ (fderiv ℝ ψ) x₀ (x - x₀)) (x - x₀))| ≤
ε * ‖x - x₀‖ ^ 2 := by sorry
Source
Lean source: https://github.com/human-ai-mathematics/kls-lean/blob/408915f/formalization/FunctionalInequalities/Analysis/Convex/Viscosity.lean#L261-L383 (repository human-ai-mathematics/kls-lean, commit 408915f, module `FunctionalInequalities.Analysis.Convex.Viscosity`, declaration `_private.FunctionalInequalities.Analysis.Convex.Viscosity.0.FunctionalInequalities.Analysis.local_taylor_two`; the repository is private at upload time).