Fejér Fourier Averaging
Average Fourier truncations and compare their weights and jump behavior.
Free theory articleAverage Fourier truncations and compare their weights and jump behavior.
Concept & interpretation
The Fourier series of a piecewise smooth function converges pointwise to the function value at points of continuity, and to the midpoint at jump discontinuities. However, near these jumps, truncating the series at degree N exhibits an overshoot known as theGibbs phenomenon, which does not vanish as N increases.
Experiment
In the interactive module, observe how changing the degree affects the approximation:
- Set Degree N to
1and Probe fraction of pi to1/4. Notice the significant error in both the Fourier partial sum and the Fejér mean due to underfitting. - Increase Degree N to
7. The Fourier partial sum becomes closer to1(error≈ 0.108), but still suffers from oscillations near the jump atx = 0. The Fejér mean smooths out these oscillations but approaches the true value more slowly. - Set Probe fraction of pi to
0, exactly at the jump discontinuity. Observe that both approximations correctly evaluate to0.0, matching the midpoint limit.