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The Fejer kernel is a positive approximate identity
Statement
For every , the Fejer kernel satisfies
Hence, for ,
so for all , , and for every ,
In particular,
Facts & Assumptions
Given: An integer and a real .
The Fejer kernel is , where and (Dirichlet and Fejer kernels).
Proof
Expanding the average in [L1] gives On the other hand, Therefore
If , the finite geometric-series formula gives so step 1.1 yields the displayed square formula. This proves for every , and at integers the same formula extends by continuity to . Also [L1] gives
For , one has . Using step 2.1 and therefore gives Integrating over an interval of length at most yields
Depends on
Used by
- A continuous Fourier series supported on a Sidon set has ell-one coefficients Corollary
- The Carleson maximal operator is not strong type (1,1) Counterexample
- Fejer summation of the square wave Example
- Kolmogorov block polynomial with large partial sums Lemma
- Gibbs phenomenon Remark
- Fejer means converge at Lebesgue points Theorem
- Fejer means converge in Lᵖ for 1 <= p < infinity Theorem
- Fejer means converge to midpoint values at jumps Theorem
- Fejer means converge uniformly for continuous periodic functions Theorem
- Periodic Fourier partial sums converge in the strict Lp range Theorem
- The Marcel Riesz conjugate-function theorem on the circle Theorem
Dependency tree · two levels
2 results within two dependency steps of this one, each drawn at its shortest distance from it. An arrow runs from a result to what uses it, so the chart reads left to right and ends at this result, which carries a heavier outline. Every node is a link to that result. Click elsewhere on the chart to enlarge it.
Sources
- Richard S. Laugesen, Harmonic Analysis Lecture Notes (standard reference, not scraped)
- Loukas Grafakos, Classical Fourier Analysis, 3rd ed. (standard reference, not scraped)