TY - GEN
T1 - Implications of Better PRGs for Permutation Branching Programs
AU - Doron, Dean
AU - Hoza, William M.
N1 - Publisher Copyright:
© Dean Doron and William M. Hoza; licensed under Creative Commons License CC-BY 4.0.
PY - 2025/9/15
Y1 - 2025/9/15
N2 - 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)).
AB - 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)).
KW - hitting set generators
KW - pseudorandom generators
KW - read-once branching programs
UR - https://www.scopus.com/pages/publications/105019512295
U2 - 10.4230/LIPIcs.APPROX/RANDOM.2025.28
DO - 10.4230/LIPIcs.APPROX/RANDOM.2025.28
M3 - Conference contribution
AN - SCOPUS:105019512295
T3 - Leibniz International Proceedings in Informatics, LIPIcs
BT - Approximation, Randomization, and Combinatorial Optimization. Algorithms and Techniques, APPROX/RANDOM 2025
A2 - Ene, Alina
A2 - Chattopadhyay, Eshan
PB - Schloss Dagstuhl- Leibniz-Zentrum fur Informatik GmbH, Dagstuhl Publishing
T2 - 28th International Conference on Approximation Algorithms for Combinatorial Optimization Problems, APPROX 2025 and the 29th International Conference on Randomization and Computation, RANDOM 2025
Y2 - 11 August 2025 through 13 August 2025
ER -