(…as we were), does anyone have an intuition — or can anyone *point me to* an intuition — for why Fourier series would be so much more powerful than power series? Intuitively, I would think that very-high-order polynomials would buy you the power to represent very spiky functions, functions with discontinuities at a point (e.g., f(x) = -1 for x less than 0, f(x) = 1 for x >= 0), etc. Yet the functions that can be represented by power series are very smooth (“analytic“), whereas the functions representable by Fourier series can be very spiky indeed.
The intuition may be in Körner, but I’ve not found it.
This could lead me down a generalization path, namely: develop a hierarchy of series representations, with representations higher on the hierarchy being those that can represent all the functions that those lower on the hierarchy can represent, plus others. In this way you’d get a total ordering of the set of series representations. I don’t know if this is even possible; maybe there are some series representations that intersect with, but are not sub- or supersets of, other series representations. I don’t think I’ve ever read a book that treated series representations generally; it’s always been either Fourier or power series, but rarely both, and never any others. Surely these books exist; I just don’t know them.
And now, back to reading Hawkins.