Power of Counting by Nonuniform Families of Polynomial-Size Finite Automata

Fuente: arXiv
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Autore principale: Yamakami, Tomoyuki
Natura: Preprint
Pubblicazione: 2023
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author Yamakami, Tomoyuki
author_facet Yamakami, Tomoyuki
contents Lately, there have been intensive studies on strengths and limitations of nonuniform families of promise decision problems solvable by various types of polynomial-size finite automata families, where ``polynomial-size'' refers to the polynomially-bounded state complexity of a finite automata family. In this line of study, we further expand the scope of these studies to families of partial counting and gap functions, defined in terms of nonuniform families of polynomial-size nondeterministic finite automata, and their relevant families of promise decision problems. Counting functions have an ability of counting the number of accepting computation paths produced by nondeterministic finite automata. With no unproven hardness assumption, we show numerous separations and collapses of complexity classes of those partial counting and gap function families and their induced promise decision problem families. We also investigate their relationships to pushdown automata families of polynomial stack-state complexity.
format Preprint
id arxiv_https___arxiv_org_abs_2310_18965
institution arXiv
publishDate 2023
record_format arxiv
spellingShingle Power of Counting by Nonuniform Families of Polynomial-Size Finite Automata
Yamakami, Tomoyuki
Computational Complexity
Formal Languages and Automata Theory
Lately, there have been intensive studies on strengths and limitations of nonuniform families of promise decision problems solvable by various types of polynomial-size finite automata families, where ``polynomial-size'' refers to the polynomially-bounded state complexity of a finite automata family. In this line of study, we further expand the scope of these studies to families of partial counting and gap functions, defined in terms of nonuniform families of polynomial-size nondeterministic finite automata, and their relevant families of promise decision problems. Counting functions have an ability of counting the number of accepting computation paths produced by nondeterministic finite automata. With no unproven hardness assumption, we show numerous separations and collapses of complexity classes of those partial counting and gap function families and their induced promise decision problem families. We also investigate their relationships to pushdown automata families of polynomial stack-state complexity.
title Power of Counting by Nonuniform Families of Polynomial-Size Finite Automata
topic Computational Complexity
Formal Languages and Automata Theory
url https://arxiv.org/abs/2310.18965