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Published in: Theory of Computing Systems 3/2023

17-08-2022

Dimension and the Structure of Complexity Classes

Authors: Jack H. Lutz, Neil Lutz, Elvira Mayordomo

Published in: Theory of Computing Systems | Issue 3/2023

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Abstract

We prove three results on the dimension structure of complexity classes. (1) The Point-to-Set Principle, which has recently been used to prove several new theorems in fractal geometry, has resource-bounded instances. These instances characterize the resource-bounded dimension of a set X of languages in terms of the relativized resource-bounded dimensions of the individual elements of X, provided that the former resource bound is large enough to parametrize the latter. Thus for example, the dimension of a class X of languages in EXP is characterized in terms of the relativized p-dimensions of the individual elements of X. (2) Every language that is \({\leq ^{P}_{m}}\)-reducible to a p-selective set has p-dimension 0, and this fact holds relative to arbitrary oracles. Combined with a resource-bounded instance of the Point-to-Set Principle, this implies that if NP has positive dimension in EXP, then no quasipolynomial time selective language is \({\leq ^{P}_{m}}\)-hard for NP. (3) If the set of all disjoint pairs of NP languages has dimension 1 in the set of all disjoint pairs of EXP languages, then NP has positive dimension in EXP.

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Metadata
Title
Dimension and the Structure of Complexity Classes
Authors
Jack H. Lutz
Neil Lutz
Elvira Mayordomo
Publication date
17-08-2022
Publisher
Springer US
Published in
Theory of Computing Systems / Issue 3/2023
Print ISSN: 1432-4350
Electronic ISSN: 1433-0490
DOI
https://doi.org/10.1007/s00224-022-10096-7

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