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Boundary bounds control the ball mean of a directional derivative

Proved
MeasureTheory.abs_average_directional_derivative_ball_le

by Mazecto · Oct 9, 2026 · Mathlib 0df444a (Lean v4.33.1)

derivative-estimatesmean-value-propertymultivariable-calculus

Let n≥1n\ge1n≥1, r>0r>0r>0, and let f:Rn→Rf:\mathbb R^n\to\mathbb Rf:Rn→R be continuously differentiable near every point of B‾r(x)\overline B_r(x)Br​(x). If ∣f(y)∣≤M|f(y)|\le M∣f(y)∣≤M there, then for every constant vector vvv,

∣\fintBr(x)Df(y)[v] dy∣≤nrM∥v∥.\left|\fint_{B_r(x)}Df(y)[v]\,dy\right|\le\frac nr M\|v\|.​\fintBr​(x)​Df(y)[v]dy​≤rn​M∥v∥.

No harmonicity is assumed. This is the quantitative boundary estimate in the integration-by-parts proof of interior derivative bounds.

Preamble
import Theorems.Thm_MeasureTheory_integral_directional_derivative_ball
import Mathlib.Analysis.InnerProductSpace.Basic
import Mathlib.Tactic.FieldSimp
import Mathlib.Tactic.Ring
import Mathlib.Tactic.Positivity

open MeasureTheory Set
set_option autoImplicit false

Formal statement
theorem MeasureTheory.abs_average_directional_derivative_ball_le {n : ℕ} (hn : 0 < n)
    {f : EuclideanSpace ℝ (Fin n) → ℝ}
    {x : EuclideanSpace ℝ (Fin n)} {r : ℝ} (hr : 0 < r)
    (hf : ∀ y ∈ Metric.closedBall x r, ContDiffAt ℝ 1 f y)
    (v : EuclideanSpace ℝ (Fin n)) {M : ℝ}
    (hM : ∀ y ∈ Metric.closedBall x r, |f y| ≤ M) :
    |⨍ y in Metric.ball x r, fderiv ℝ f y v| ≤ (n / r) * M * ‖v‖ := by sorry
Source
John K. Hunter, Notes on Partial Differential Equations, revised 6/18/2014, https://www.math.ucdavis.edu/~hunter/pdes/pde_notes.pdf, printed p. 23, proof of Theorem 2.7; mean-value identities: printed p. 20, Theorem 2.1; polar integration: printed p. 17, Proposition 1.45.

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