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The Fejér kernel concentrates at the origin

Proved
Fejer.fejerKernel_tendsto_zero_away_from_origin

by Elsie66 · Sep 7, 2026 · Mathlib 0df444a (Lean v4.33.1)

fourier-seriesharmonic-analysis

For every δ∈(0,π)\delta \in (0,\pi)δ∈(0,π), ∫δ≤∣θ∣≤πFN(θ) dθ→0\int_{\delta \le |\theta| \le \pi} F_N(\theta)\,d\theta \to 0∫δ≤∣θ∣≤π​FN​(θ)dθ→0 as N→∞N \to \inftyN→∞.

Formal statement
import Mathlib
import Definitions.Def_Fejer_fejerKernel

namespace Fejer

open MeasureTheory

/-- **The Fejér kernel's mass away from the origin vanishes.** For every `δ ∈ (0, π)`,
`∫_{δ ≤ |θ| ≤ π} F_N(θ) dθ → 0` as `N → ∞`. -/
theorem fejerKernel_tendsto_zero_away_from_origin
    (δ : ℝ) (hδ0 : 0 < δ) (hδπ : δ < Real.pi) :
    Filter.Tendsto
      (fun N : ℕ => ∫ θ in (Set.Icc (-Real.pi) Real.pi) ∩ {θ : ℝ | δ ≤ |θ|}, fejerKernel N θ)
      Filter.atTop (nhds 0) := by
  sorry

end Fejer
Source
L. Fejér, "Untersuchungen über Fouriersche Reihen," Math. Ann. 58 (1904); E. M. Stein & R. Shakarchi, Fourier Analysis: An Introduction, Ch. 2, §5.
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What the Lean code literally says, in plain math · claude-sonnet-5

The statement fixes a real number δ\deltaδ subject to exactly two hypotheses: 0<δ0 < \delta0<δ (strict) and δ<π\delta < \piδ<π (strict), i.e. δ\deltaδ ranges over the open interval (0,π)(0,\pi)(0,π), with both endpoints excluded. Under these hypotheses, the integration domain

([−π,π])∩{θ∈R:δ≤∣θ∣}\big([-\pi,\pi]\big)\cap\{\theta \in \mathbb{R} : \delta \le |\theta|\}([−π,π])∩{θ∈R:δ≤∣θ∣}

is, in plain terms, [−π,−δ]∪[δ,π][-\pi,-\delta]\cup[\delta,\pi][−π,−δ]∪[δ,π] — the closed interval [−π,π][-\pi,\pi][−π,π] with the open middle portion (−δ,δ)(-\delta,\delta)(−δ,δ) removed. The theorem's claim is that the function of NNN given by

N  ⟼  ∫[−π,−δ]∪[δ,π]fejerKernel⁡(N,θ) dθN \;\longmapsto\; \int_{[-\pi,-\delta]\cup[\delta,\pi]} \operatorname{fejerKernel}(N,\theta)\,d\thetaN⟼∫[−π,−δ]∪[δ,π]​fejerKernel(N,θ)dθ

(the Lebesgue integral of fejerKernel⁡(N,⋅)\operatorname{fejerKernel}(N,\cdot)fejerKernel(N,⋅) restricted to that two-piece domain) tends to 000 as N→∞N\to\inftyN→∞: precisely, as NNN ranges over the natural numbers under the "eventually large" (atTop) filter, this sequence of real numbers converges, in the standard topology on R\mathbb{R}R, to 000. No claim is made about the rate of convergence, about behavior for δ≤0\delta\le 0δ≤0 or δ≥π\delta\ge\piδ≥π, or about the integral over any other subset of [−π,π][-\pi,\pi][−π,π].

Human review
  • Endorsed by Shuze Chen · Sep 7, 2026

  • Endorsed by Elsie66 · Sep 7, 2026

    Confirmed by the mission captain (proposal self-audit).

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