Fourier series and transforms
Objective. Represent functions and solve linear PDEs spectrally.
- 1. Learn
- 2. Worked example
- 3. Practice
- 4. Feedback
- 5. Continue
Learn: the key idea
Fourier series and transforms represent a function as a sum or integral of sines and cosines, turning differentiation into multiplication in frequency space. For a 2π-periodic f, write f(x) = a₀/2 + Σ(aₙcos nx + bₙsin nx) with coefficients given by integrals of f against cos nx and sin nx. The Fourier transform extends this to non-periodic functions on the whole line via f̂(k) = ∫f(x)e^(−ikx)dx. Because d/dx becomes multiplication by ik, linear PDEs such as the heat equation uₜ = uₓₓ become ordinary differential equations in time for each mode, which are solved and then summed or inverted back. Example: for f(x) = x on (−π, π), odd symmetry gives bₙ = 2(−1)^(n+1)/n and all aₙ = 0.
Worked example
Find the Fourier sine coefficient b₁ for the odd 2π-periodic extension of f(x) = x on (−π, π).
- 1Formula: bₙ = (1/π)∫₋π^π x sin(nx) dx, doubled to (2/π)∫₀^π x sin(nx) dx by oddness.
- 2Integrate by parts: ∫₀^π x sin(nx) dx = [−x cos(nx)/n]₀^π + (1/n)∫₀^π cos(nx) dx.
- 3Boundary term gives −π cos(nπ)/n; the remaining integral of cos(nx) over (0,π) vanishes for integer n.
- 4For n = 1: bₙ = (2/π)(−π cos(nπ)/n) = −2cos(nπ)/n, so b₁ = −2(−1)/1 = 2.
Answer: b₁ = 2
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Practice
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Start practisingCommon mistake. Students forget that a Fourier series converges to the midpoint of a jump discontinuity, not to either one-sided value; at a jump from −1 to 1 the series sums to 0 there, not ±1.
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