English

Gaps, Ambiguity, and Establishing Complexity-Class Containments via Iterative Constant-Setting

Computational Complexity 2024-02-12 v5

Abstract

Cai and Hemachandra used iterative constant-setting to prove that Few \subseteq \oplusP (and thus that FewP \subseteq \oplusP). In this paper, we note that there is a tension between the nondeterministic ambiguity of the class one is seeking to capture, and the density (or, to be more precise, the needed "nongappy"-ness) of the easy-to-find "targets" used in iterative constant-setting. In particular, we show that even less restrictive gap-size upper bounds regarding the targets allow one to capture ambiguity-limited classes. Through a flexible, metatheorem-based approach, we do so for a wide range of classes including the logarithmic-ambiguity version of Valiant's unambiguous nondeterminism class UP. Our work lowers the bar for what advances regarding the existence of infinite, P-printable sets of primes would suffice to show that restricted counting classes based on the primes have the power to accept superconstant-ambiguity analogues of UP. As an application of our work, we prove that the Lenstra-Pomerance-Wagstaff Conjecture implies that all (O(1) + loglogn)-ambiguity NP sets are in the restricted counting class RCPRIMES\rm RC_{PRIMES}.

Keywords

Cite

@article{arxiv.2109.14764,
  title  = {Gaps, Ambiguity, and Establishing Complexity-Class Containments via Iterative Constant-Setting},
  author = {Lane A. Hemaspaandra and Mandar Juvekar and Arian Nadjimzadah and Patrick A. Phillips},
  journal= {arXiv preprint arXiv:2109.14764},
  year   = {2024}
}
R2 v1 2026-06-24T06:30:00.155Z