I would just like a brief sanity check for a question in Brezis's functional analysis book so I can be sure I understand the basics of spectral theory.
Take $l^p(\mathbb{R})$, for $1\leq p \leq \infty$. For a fixed, bounded, real sequence $\lambda_n$ define the multiplication operator $M: l^p \to l^p$ by: $$ M(x_1,x_2,x_3, \cdots ) = (\lambda_1 x_1 , \lambda_2x_2, \lambda_3x_3 ,\cdots) $$ i.e, a pseudo-dot product type thing. The question asks me to determine the Eigenvalues of $M$, and then the spectrum, $\sigma(M)$.
First, if we have an eigenvalue $\mu$, we have: $$ \mu x_1 = \lambda_1 x_1 \\ \mu x_2 = \lambda_2 x_2 \\ \mu x_3 = \lambda_3x_3 \\ \vdots $$ But $\lambda_n$ need not be a constant sequence, so this operator in general does not have an eigenvalue. For the Spectrum, we have that: $$ \sigma(M) = \{\mu \in \mathbb{R} : (M - \mu I) \text{ is not invertible}\} $$ In general, if $M - \mu I$ has an inverse, it is reasonable to assume its action on some $y$ is given by: $$ \left(\frac{1}{\lambda_1 - \mu}y_1, \frac{1}{\lambda_2- \mu}y_2,\frac{1}{\lambda_3 - \mu}y_3 , \cdots \right) $$ Thus, the operator is not invertible when $\mu = \lambda_k$ for some $\lambda_k$. Thus, the spectrum is given by $\{\lambda_n : n \in \mathbb{N}\}$.