Consider the bounded linear operator $M_a$ defined by $M_au(x)=\frac{1}{\sqrt{a}}u\left(\frac{x}{a}\right)$, for $a>1$. On $L^2(\mathbb{R})$, it is easy to see that this is a unitary operator and that (either directly or by an application of Stone's theorem to the continuous one-parameter group) it has spectrum the entire unit circle:$$\sigma(M_a)=\sigma(M_a^*)=\{|z|=1\}.$$ Furthermore, this spectrum is all continuous spectrum, as it is not difficult to show that there are no eigenvalues.

My question concerns what happens when you consider this operator on a weighted space, such as $L^2(\mathbb{R},e^{-x^2}dx)$ for example. Here the operator $M_a$ is still bounded but is no longer normal. We may compute the spectrum by computing the norm $$\|M_a\|=\sqrt{\|M_a^*M_a\|}=\sqrt{\sup_{x\in\mathbb{R}}e^{-(a^2-1)x^2}}=1$$ and remarking that $\{|z|<1\}$ are eigenvalues corresponding to eigenvectors of the form $x^s$.

That leaves the boundary $\{|z|=1\}$. Is this continuous or residual spectrum? And what are the $\sigma_r$ and $\sigma_c$ of $M_a^*$?

(Apologies if this is obvious, I am new to spectral theory.)