For finite subsets , orthonormality gives
For , the squared norm of is the corresponding finite tail sum. Since , these tails tend to zero. Thus is a Cauchy sequence in the complete Hilbert space and converges.
The same estimate for arbitrary finite tails proves that the sum is unconditional, so the bilateral orthogonal series converges in independently of its ordering. This is the Riesz-Fischer theorem for an orthonormal system.
For , the finite orthogonal projection satisfies
This is Bessel's inequality, so the coefficients are square summable. The preceding result gives a limit . For each fixed , continuity of the inner product gives . The completeness assumption on the orthonormal system forces . Hence
Taking squared norms also gives Parseval's identity, .
Apply continuity of the inner product to the convergent expansion of :
The series is absolutely convergent because the Cauchy-Schwarz inequality for scalar sequences and Bessel's inequality give
This is the polarized Parseval identity.
Use the inner product convention . For , integration gives
The nonzero even coefficients vanish, while . The preceding polarized Parseval identity therefore yields
Absolute convergence follows from square summability of the Fourier coefficients and of .
For the convolution identity, fix any real and define . Periodicity makes with . A change of variable and integration over one full period give
Applying polarized Parseval identity to gives, for every fixed ,
The integral exists by the Cauchy-Schwarz inequality. The same inequality gives , so the displayed series converges absolutely and uniformly in . In particular the equality holds at every , without requiring pointwise convergence of either original Fourier series. This is Fourier convolution of two periodic L2 functions.

Articles by others on the same topic (0)

There are currently no matching articles.