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Fejer summation of the square wave
Example
Let be the one-periodic square wave defined by
with . Then
and
Moreover for every and every , so these positive means recover the midpoint value without a fixed Gibbs overshoot.
Facts & Assumptions
Given: The one-periodic square wave above.
The Cesaro means are defined by averaging Fourier partial sums (Cesaro and Abel means of a Fourier series).
If both one-sided limits exist at a point, the Fejer means converge there to their midpoint (Fejer means converge to midpoint values at jumps).
The Fejer kernels are nonnegative and have integral (The Fejer kernel is a positive approximate identity).
Verification
Direct integration gives for every and Hence
Averaging the partial sums from step 1.1 as in [L1] shows that the odd mode appears with weight when and with weight otherwise. This is exactly the displayed formula for .
The one-sided limits at are and , so [L2] gives Also [L1] and [L3] give and because , positivity and total mass one imply for every . Thus the Fejer means average across the jump and do not exhibit a fixed overshoot.
Depends on
Used by
Nothing in the library uses this result yet.
Dependency tree · two levels
5 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
- Loukas Grafakos, Classical Fourier Analysis, 3rd ed. (standard reference, not scraped)
- Richard S. Laugesen, Harmonic Analysis Lecture Notes (standard reference, not scraped)