In her book "Spline models for observational data", on page 4, Grace Wahba states that the following function space is "obviously" complete:
Let $\{\phi_{i}\}_{i=1..\infty}$ be a sequence of continuous functions which is orthonormal in $L^{2}$ (i.e. $\phi_{i}$ is an ONB), and $\{\lambda_{i}\}_{i=1..\infty}$ a sequence of real numbers. I dont know if it is necessary to know, but $\phi_{i},\lambda_{i}$ are the (Mercer) eigenvectors/eigenvalues belonging to an integral operator with a positive definite kernel $K$, and it holds that \begin{align} \int K(x,t) \phi_{i}(t) dt = \lambda_{i}\phi_{i}(x) \\ K(x,y) = \sum_{i=1}^{\infty} \lambda_{i}\phi_{i}(x) \phi_{i}(y) \\ \sum_{i=1}^{\infty} \lambda_{i}^{2} < \infty \end{align}
In the book it is then stated that the subspace of $L^{2}$ given by \begin{equation} \{f \mid f=\sum_{i=1}^{\infty}\alpha_{i} \phi_{i}, \sum_{i=1}^{\infty}\frac{\alpha_{i}^{2}}{\lambda_{i}}<\infty \} \end{equation} , equipped with the norm $$\Vert f \Vert = \sum_{i=1}^{\infty}\frac{\alpha_{i}^{2}}{\lambda_{i}} $$ is "obviously" complete.
I have tried to show this, without luck. Could anyone explain?