Helper for Theorem 5.5.1: the Fourier series of f viewed in L² has the
expected coefficient formula and sums to toLp f.
Helper for Theorem 5.5.1: symmetric integer windows [-N, N] tend to
atTop in Finset ℤ.
Helper for Theorem 5.5.1: symmetric Fourier partial sums converge to
toLp f in L².
Helper for Theorem 5.5.1: the L² norm of the Fourier approximation error
tends to 0.
Theorem 5.5.1 (Fourier theorem): for every f ∈ C(ℝ/ℤ; ℂ), the symmetric
Fourier partial sums ∑_{n=-N}^{N} \hat f(n) e_n converge to f in the L²
metric, i.e. lim_{N→∞} ‖f - ∑_{n=-N}^{N} \hat f(n)e_n‖₂ = 0.
Helper for Theorem 5.5.3: absolute summability of Fourier coefficients implies summability of the coefficients themselves.
Helper for Theorem 5.5.3: summable Fourier coefficients force symmetric
Fourier partial sums to converge to f in C(ℝ/ℤ; ℂ).
Helper for Theorem 5.5.3: convergence of symmetric partial sums to f
implies convergence of the sup-norm error to 0.
Theorem 5.5.3: let f ∈ C(ℝ/ℤ; ℂ). If ∑_{n∈ℤ} ‖\hat f(n)‖ converges,
then the symmetric Fourier partial sums ∑_{n=-N}^{N} \hat f(n)e_n converge
uniformly to f, i.e. lim_{N→∞} ‖f - ∑_{n=-N}^{N} \hat f(n)e_n‖∞ = 0
(with ‖·‖ the sup norm on C(ℝ/ℤ; ℂ)).
Helper for Theorem 5.5.4: Parseval's HasSum identity for toLp f, with
Fourier coefficients rewritten in terms of the original continuous map f.
Helper for Theorem 5.5.4: for toLp f, the square of the L² norm equals
the integral of the pointwise squared norm.