Baire Categories on Small Complexity Classes and Meager-Comeager Laws
Philippe Moser

TL;DR
This paper introduces resource-bounded Baire category notions for small complexity classes, providing new characterizations and laws that distinguish them from measure-based approaches, with implications for class properties and completeness notions.
Contribution
It defines two resource-bounded Baire categories, offers alternative characterizations, and establishes meager-comeager laws and nonexistence of certain weak-completeness notions in small complexity classes.
Findings
Almost all subexponentially computable languages satisfy P(A)=BPP(A).
SPARSE is meager in P under locally-computable Baire categories.
No weak-completeness notion exists in P based on locally-computable Baire categories.
Abstract
We introduce two resource-bounded Baire category notions on small complexity classes such as P, SUBEXP, and PSPACE and on probabilistic classes such as BPP, which differ on how the corresponding finite extension strategies are computed. We give an alternative characterization of small sets via resource-bounded Banach-Mazur games. As an application of the first notion, we show that for almost every language A (i.e. all except a meager class) computable in subexponential time, P(A)=BPP(A). We also show that almost all languages in PSPACE do not have small nonuniform complexity. We then switch to the second Baire category notion (called locally-computable), and show that the class SPARSE is meager in P. We show that in contrast to the resource-bounded measure case, meager-comeager laws can be obtained for many standard complexity classes, relative to locally-computable Baire category…
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Taxonomy
TopicsComputability, Logic, AI Algorithms · Logic, Reasoning, and Knowledge · Advanced Topology and Set Theory
