Fourier analysis - Wikipedia
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Abstraction: Decomposing functions into sums of trigonometric or complex exponential components
Key points:
- Five variants: CTFT, CTFS, DTFT, DTFS, DFT; only the DFT is numerically computable and can approximate the others
- Exponential functions are eigenfunctions of differentiation, converting linear ODEs with constant coefficients into algebraic equations
- Convolution theorem: Fourier transform converts convolution to pointwise multiplication, enabling efficient filtering and polynomial multiplication
- FFT algorithm (O(N log N)) first discovered by Gauss ~1805 for asteroid orbit interpolation; modernly attributed to Cooley-Tukey
- JPEG compression uses the discrete cosine transform (a Fourier variant) on 8×8 image blocks
- Generalizes to harmonic analysis on locally compact Abelian groups via Pontryagin duality; the transform maps functions on a group to functions on the dual group
Connections: Fourier Analysis · Signal Processing · Harmonic Analysis