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Fejér's theorem

Proved
Fejer.fejer_theorem

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

fourier-seriesharmonic-analysis

For fff continuous and 2π2\pi2π-periodic, σN(f)→f\sigma_N(f) \to fσN​(f)→f uniformly on R\mathbb{R}R as N→∞N \to \inftyN→∞.

Formal statement
import Mathlib
import Definitions.Def_Fejer_cesaroMean

namespace Fejer

/-- **Fejér's theorem** (Fejér, *Untersuchungen über Fouriersche Reihen*, Math. Ann. 58 (1904),
51–69). If `f : ℝ → ℂ` is continuous and `2π`-periodic, the Cesàro means of the partial sums of
its Fourier series converge to `f`, uniformly on `ℝ`. -/
theorem fejer_theorem
    (f : ℝ → ℂ) (hf_cont : Continuous f) (hf_per : Function.Periodic f (2 * Real.pi)) :
    TendstoUniformly (fun N θ => cesaroMean f N θ) f Filter.atTop := 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 theorem takes f:R→Cf : \mathbb{R} \to \mathbb{C}f:R→C, a hypothesis hf_cont that fff is continuous everywhere, and a hypothesis hf_per that fff is periodic with period 2π2\pi2π: ∀x∈R, f(x+2π)=f(x)\forall x \in \mathbb{R},\ f(x + 2\pi) = f(x)∀x∈R, f(x+2π)=f(x).

Unfolding: fourierCoeff f n is f^(n)=12π∫−ππf(θ) e−inθ dθ\hat f(n) = \frac{1}{2\pi} \int_{-\pi}^{\pi} f(\theta)\, e^{-in\theta}\, d\thetaf^​(n)=2π1​∫−ππ​f(θ)e−inθdθ (Lean's total interval integral). partialSum f N θ is SN(f)(θ)=∑n=−NNf^(n) einθS_N(f)(\theta) = \sum_{n=-N}^{N} \hat f(n)\, e^{in\theta}SN​(f)(θ)=∑n=−NN​f^​(n)einθ over the 2N+12N+12N+1 integers n∈[−N,N]n\in[-N,N]n∈[−N,N]. cesaroMean f N θ is σN(f)(θ)=1N+1∑k=0NSk(f)(θ)\sigma_N(f)(\theta) = \frac{1}{N+1} \sum_{k=0}^{N} S_k(f)(\theta)σN​(f)(θ)=N+11​∑k=0N​Sk​(f)(θ), i.e. the average of the first N+1N+1N+1 partial sums — a fully explicit nested finite sum of complex numbers once N,θN,\thetaN,θ are fixed.

The conclusion is that the family N↦(θ↦σN(f)(θ))N \mapsto (\theta \mapsto \sigma_N(f)(\theta))N↦(θ↦σN​(f)(θ)) converges to fff uniformly with respect to Filter.atTop on N\mathbb{N}N, in the sense of Mathlib's TendstoUniformly: for every ε>0\varepsilon > 0ε>0 there is a threshold N0N_0N0​ such that for all N≥N0N \ge N_0N≥N0​ and simultaneously for every θ∈R\theta \in \mathbb{R}θ∈R (unrestricted — not confined to [−π,π][-\pi,\pi][−π,π] or any fundamental domain), ∥σN(f)(θ)−f(θ)∥<ε\|\sigma_N(f)(\theta) - f(\theta)\| < \varepsilon∥σN​(f)(θ)−f(θ)∥<ε. The single threshold N0N_0N0​ works for all θ\thetaθ at once — the convergence rate is independent of θ\thetaθ. No hypothesis beyond continuity and the stated 2π2\pi2π-periodicity is imposed (no boundedness, integrability, or differentiability assumption appears separately), and no claim is made about convergence of SN(f)S_N(f)SN​(f) itself, only of the Cesàro averages σN(f)\sigma_N(f)σN​(f).

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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