Is there a faster approach for finding the Fourier series of $$\sin(x/2)~,\cos(x/2)~~~\text{etc}$$ other than the usual approach?
2026-05-14 13:46:52.1778766412
Fourier series representation for $\sin(x/2)$
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I'll give a non-standard derivation for $\cos (x/2)$ on $[-\pi,\pi]$. Faster or not, you tell.
The function being even, we work with cosines. Observe that if $$f(x)\sim \frac{a_0}{2} + \sum_{n=1}^\infty a_n \cos nx\tag1$$ then $$f''(x)\sim -\sum_{n=1}^\infty n^2 a_n \cos nx\tag2$$ I am writing $\sim $ instead of $=$ here to avoid getting arrested by the convergence police. Naturally, we want to plug (1) and (2) into $f''= (-1/4)f$ and equate coefficients. This does not work.
The problem is, $f''$ is not exactly $(-1/4)f$. The values of $f'$ at the endpoints don't match, and this discontinuity contributes a point mass to $f''$. The correct formula is $$f''=(-1/4)f+\delta_{\pi}+\delta_{-\pi}\tag3$$ It's easy to find the coefficients for the delta function: $$\delta_\pi +\delta_{-\pi}= \frac{c_0}{2}+ \sum_{n=1}^\infty c_n\cos nx, \quad c_n= (-1)^n\frac{2}{\pi}\tag4$$ because "integrating" against a delta function amounts to evaluation. Now plug into (3). $$-n^2 a_n = (-1/4)a_n + c_n\tag5$$
which yields $$ a_n = \frac{-c_n}{n^2-1/4}\tag6$$ with $c_n$ as in (4).