The classical computational spectral problem takes , reads the matrix entries , and asks for in the Hausdorff distance or Attouch--Wets topology. Its Solvability complexity index is three for general bounded operators.
A computational problem in the SCI hierarchy is a quadruple
Here is the primary set of inputs, is the set of permitted evaluation functions, is the output metric space, and is the problem function. The Solvability complexity index is defined from the minimum height of a tower of algorithms that computes from finite subsets of .
For the classical computational spectral problem, take
and
Since the spectrum of a bounded operator is a nonempty compact subset of the complex numbers, one may take to be the nonempty compact subsets of with the Hausdorff distance. The Attouch--Wets topology gives an equivalent convenient formulation on bounded spectral sets and also extends naturally to unbounded closed sets. This choice of makes convergence mean convergence of the whole spectrum as a set, including both the absence of persistent spectral pollution and the approximation of every genuine spectral point.
For a densely defined closed operator , define its lower norm
The closed-range theorem gives
Therefore
and
We next show that is accessible through the matrix-entry evaluations. Put and define
Because the canonical span is a core for both operators,
For fixed and grid point , form
Its entries belong to . The smallest singular value of increases as to . Applying the same construction to the conjugate-transposed entries gives . Thus two nested finite-matrix limits determine .
The assumed gap continuity of and the identity
make the corresponding lower-norm tests stable under movement of . The rational grids become dense on every bounded disk. Hence an arithmetic algorithm can, on , use the two finite-section levels above and a vanishing rational tolerance to output all grid cells certified by
Taking their closures and letting the mesh and tolerance vanish converges in the Attouch--Wets topology to
The strict existential inequality requires two nested limits, with approximants entering from the prescribed side. In the notation of the arithmetic hierarchy this proves
For the spectrum, equality to zero is the countable intersection
Use the preceding two-level pseudospectral procedure with threshold , and add an outer limit . Outer approximants remove every point with positive lower norm, while gap continuity and density of the grids retain every zero. Truncating to expanding disks and using vanishing mesh again gives Attouch–Wets convergence. The universal outer intersection reverses the one-sided classification and adds one level, proving