Assume , so the squared-error integral is finite. WriteAt a minimum, differentiating with respect to each coefficient givesBy Fourier orthogonality, the constant has squared norm , each nonconstant cosine has squared norm , and all distinct modes are orthogonal. ThusThese are exactly the Fourier coefficients of the Fourier cosine series of the even function. To check that the stationary choice is a unique global minimum, perturb the coefficients by . The residual is orthogonal to every fitted mode, so the cross terms vanish andwith equality only when every perturbation is zero. The truncated series is the orthogonal projection onto a finite-dimensional subspace spanned by the constant and the first cosine modes.
Evenness makes every sine coefficient zero. For the constant coefficient,An integration by parts gives, for ,The even coefficients vanish and the odd coefficients are . ThereforeThe periodic function is continuous and piecewise smooth, so the Dirichlet-Jordan convergence theorem identifies the Fourier series with at every point, including the endpoints. The absolute summability of the coefficients also gives uniform convergence.
Set in the convergent Fourier series from part (b). Since and every cosine equals one,Rearranging givesConvergence at the evaluation point is essential when extracting a numerical series identity from a Fourier series. Here the function is continuous there and the coefficients are absolutely summable.
For a real -periodic square-integrable function with the convention , Parseval's identity isIt states that the squared L2 norm equals the sum of the squared components in the orthogonal Fourier basis, with the normalization factors shown. In the present even-function case every vanishes.
Here , soSubstituting the coefficients from part (b) into Parseval's identity givesHence the sum over all positive odd integers is . The requested series starts at , whose first denominator is , so it excludes the contribution :
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