A general algorithm in the SCI hierarchy reads a finite set on each input . Its output depends only on those values, and whenever another input has the same values on , the algorithm requests the same finite set and gives the same output. A tower of algorithms of height satisfiesfor every . The Solvability complexity index is the least such , with value zero when one finite algorithm computes exactly.
We reduce a known height-three finite-column decision problem to spectral computation. Let be a bi-infinite zero-one matrix and let ask whether there is a number such that every column either contains fewer than ones or has infinitely many ones in both directions. The lecture lower-bound theorem stateseven for unrestricted general algorithms.
For a zero-one sequence , define on to be the identity on coordinates where and the shift from each coordinate with to the next coordinate carrying a one. It is a direct sum of identity pieces and one shift chain. Consequently:
- finitely many ones give ;
- infinitely many ones in both directions give the unit circle ;
- a one-sided infinite sequence gives the closed unit disk .
For the columns , form the bounded direct-sum operatorEvery finite set of matrix entries of is determined by finitely many entries of , so this construction respects the finite-information condition for a general algorithm in the SCI hierarchy. The preceding trichotomy implieswhereasThe two cases are separated by the point : its distance from the spectrum is respectively zero and .
If a height-two tower computed the spectrum of every bounded operator, apply it to and inspectUse the disjoint intervals and to turn each finite output into Yes or No, retaining the latest inner-stage value that lies in either interval. Convergence in the Hausdorff distance ensures that the inner limit stabilizes; the outer limit answers correctly. This would give a height-two tower for a problem whose Solvability complexity index is three, a contradiction. Therefore
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