Some Quantitative Aspects of Fractional Computability

dc.creatorKapovich, Ilya
dc.creatorSchupp, Paul
dc.date2007-06-27
dc.date.accessioned2026-07-07T08:12:58Z
dc.date.available2026-07-07T08:12:58Z
dc.descriptionMotivated by results on generic-case complexity in group theory, we apply the ideas of effective Baire category and effective measure theory to study complexity classes of functions which are "fractionally computable" by a partial algorithm. For this purpose it is crucial to specify an allowable effective density, $δ$, of convergence for a partial algorithm. The set $\mathcal{FC}(δ)$ consists of all total functions $ f: Σ^\ast \to \{0,1 \}$ where $Σ$ is a finite alphabet with $|Σ| \ge 2$ which are "fractionally computable at density $δ$". The space $\mathcal{FC}(δ) $ is effectively of the second category while any fractional complexity class, defined using $δ$ and any computable bound $β$ with respect to an abstract Blum complexity measure, is effectively meager. A remarkable result of Kautz and Miltersen shows that relative to an algorithmically random oracle $A$, the relativized class $\mathcal{NP}^A$ does not have effective polynomial measure zero in $\mathcal{E}^A$, the relativization of strict exponential time. We define the class $\mathcal{UFP}^A$ of all languages which are fractionally decidable in polynomial time at ``a uniform rate'' by algorithms with an oracle for $A$. We show that this class does have effective polynomial measure zero in $\mathcal{E}^A$ for every oracle $A$. Thus relaxing the requirement of polynomial time decidability to hold only for a fraction of possible inputs does not compensate for the power of nondeterminism in the case of random oracles.
dc.identifierhttps://arxiv.org/abs/0706.4095
dc.identifierhttp://arxiv.org/abs/0706.4095
dc.identifier.urihttp://salesiana.dossiersoluciones.com/handle/123456789/132644
dc.subjectGroup Theory
dc.subjectComputational Complexity
dc.subjectPrimary 68Q, Secondary 20P05
dc.titleSome Quantitative Aspects of Fractional Computability
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