English

Dimension and the Structure of Complexity Classes

Computational Complexity 2021-09-14 v1

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 XX of languages in terms of the relativized resource-bounded dimensions of the individual elements of XX, provided that the former resource bound is large enough to parameterize the latter. Thus for example, the dimension of a class XX of languages in EXP is characterized in terms of the relativized p-dimensions of the individual elements of XX. 2. Every language that is mP\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 mP\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.

Keywords

Cite

@article{arxiv.2109.05956,
  title  = {Dimension and the Structure of Complexity Classes},
  author = {Jack H. Lutz and Neil Lutz and Elvira Mayordomo},
  journal= {arXiv preprint arXiv:2109.05956},
  year   = {2021}
}
R2 v1 2026-06-24T05:54:59.918Z