Skip to main navigation Skip to search Skip to main content

Implications of Better PRGs for Permutation Branching Programs

    Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

    Abstract

    We study the challenge of derandomizing constant-width standard-order read-once branching programs (ROBPs). Let c ∈ [1, 2) be any constant. We prove that if there are explicit pseudorandom generators (PRGs) for width-6 length-n permutation ROBPs with error 1/n and seed length Oe(logc n), then there are explicit hitting set generators (HSGs) for width-4 length-n ROBPs with threshold 1/polylog(n) and seed length Oe(logc n). For context, there are known explicit PRGs that fool constant-width permutation ROBPs with error ϵ and seed length O(log n · log(1/ϵ)) (Koucký, Nimbhorkar, and Pudlák STOC 2011; De CCC 2011; Steinke ECCC 2012). When ϵ = 1/n, there are known constructions of weighted pseudorandom generators (WPRGs) that fool polynomial-width permutation ROBPs with seed length Oe(log3/2 n) (Pyne and Vadhan CCC 2021; Chen, Hoza, Lyu, Tal, and Wu FOCS 2023; Chattopadhyay and Liao ITCS 2024), but unweighted PRGs with seed length o(log2 n) remain elusive. Meanwhile, for width-4 ROBPs, there are no known explicit PRGs, WPRGs, or HSGs with seed length o(log2 n). Our reduction can be divided into two parts. First, we show that explicit low-error PRGs for width-6 permutation ROBPs with seed length Oe(logc n) would imply explicit low-error PRGs for width-3 ROBPs with seed length Oe(logc n). This would improve Meka, Reingold, and Tal's PRG (STOC 2019), which has seed length o(log2 n) only when the error parameter is relatively large. Second, we show that for any w, n, s, and ϵ, an explicit PRG for width-w ROBPs with error 0.01/n and seed length s would imply an explicit ϵ-HSG for width-(w + 1) ROBPs with seed length O(s + log n · log(1/ϵ)).

    Original languageEnglish
    Title of host publicationApproximation, Randomization, and Combinatorial Optimization. Algorithms and Techniques, APPROX/RANDOM 2025
    EditorsAlina Ene, Eshan Chattopadhyay
    PublisherSchloss Dagstuhl- Leibniz-Zentrum fur Informatik GmbH, Dagstuhl Publishing
    ISBN (Electronic)9783959773973
    DOIs
    StatePublished - 15 Sep 2025
    Event28th International Conference on Approximation Algorithms for Combinatorial Optimization Problems, APPROX 2025 and the 29th International Conference on Randomization and Computation, RANDOM 2025 - Berkeley, United States
    Duration: 11 Aug 202513 Aug 2025

    Publication series

    NameLeibniz International Proceedings in Informatics, LIPIcs
    Volume353
    ISSN (Print)1868-8969

    Conference

    Conference28th International Conference on Approximation Algorithms for Combinatorial Optimization Problems, APPROX 2025 and the 29th International Conference on Randomization and Computation, RANDOM 2025
    Country/TerritoryUnited States
    CityBerkeley
    Period11/08/2513/08/25

    Keywords

    • hitting set generators
    • pseudorandom generators
    • read-once branching programs

    ASJC Scopus subject areas

    • Software

    Fingerprint

    Dive into the research topics of 'Implications of Better PRGs for Permutation Branching Programs'. Together they form a unique fingerprint.

    Cite this