Feasible Depth

Computer Science – Computational Complexity

Scientific paper

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Accepted to Computation and Logic in the Real World, Proceedings of the 3rd Conference on Computability in Europe (CiE), 2007

Scientific paper

This paper introduces two complexity-theoretic formulations of Bennett's logical depth: finite-state depth and polynomial-time depth. It is shown that for both formulations, trivial and random infinite sequences are shallow, and a slow growth law holds, implying that deep sequences cannot be created easily from shallow sequences. Furthermore, the E analogue of the halting language is shown to be polynomial-time deep, by proving a more general result: every language to which a nonnegligible subset of E can be reduced in uniform exponential time is polynomial-time deep.

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