Compact Operators
Compact operators behave almost like finite-rank operators, and for the self-adjoint ones among them, the spectral theory is completely explicit.
Definition
Equivalently, $T$ is compact iff $T$ is the operator-norm limit of a sequence of finite-rank operators (operators with finite-dimensional range) — this characterization holds on any Hilbert space and is often the easiest way to verify compactness in practice.
Basic structural facts
- Every compact operator is bounded, but not conversely — the identity operator on an infinite-dimensional $H$ is bounded but not compact, since the closed unit ball is not compact in infinite dimensions.
- $K(H)$ is a closed, two-sided ideal in $B(H)$: if $T$ is compact and $S \in B(H)$, then both $ST$ and $TS$ are compact.
- $K(H)$ is a closed subspace of $B(H)$ under the operator norm: a norm-limit of compact operators is compact.
- If $T$ is compact, so is $T^*$.
Spectrum of a compact operator
- $0 \in \sigma(T)$;
- every nonzero $\lambda \in \sigma(T)$ is an eigenvalue of finite multiplicity (i.e. $\ker(\lambda I - T)$ is finite-dimensional);
- $\sigma(T) \setminus \{0\}$ is either finite or forms a sequence converging to $0$.
This is the qualitative heart of the Fredholm alternative: for $\lambda \ne 0$, the equation $(\lambda I - T)x = y$ has a unique solution for every $y$ exactly when the homogeneous equation $(\lambda I - T)x = 0$ has only the trivial solution — injectivity and surjectivity become equivalent, just as in the finite-dimensional case.
The spectral theorem for compact self-adjoint operators
This is the direct infinite-dimensional generalization of diagonalizing a real symmetric matrix by an orthonormal basis of eigenvectors — the compactness ensures the "diagonal" $(\lambda_n)$ decays to $0$, which is exactly what is needed for the sum to converge in operator norm.