Paper Info
Title
Targeted Pseudorandom Generators, Simulation Advice Generators, and Derandomizing Logspace.
Abstract
Assume that for every derandomization result for logspace algorithms, there is a pseudorandom generator strong enough to nearly recover the derandomization by iterating over all seeds and taking a majority vote. We prove under a precise version of this assumption that BPL ⊆ ∩α > 0 DSPACE(log1 + α n). We strengthen the theorem to an equivalence by considering two generalizations of the concept of a pseudorandom generator against logspace. A targeted pseudorandom generator against logspace takes as input a short uniform random seed and a finite automaton; it outputs a long bitstring that looks random to that particular automaton. A simulation advice generator for logspace stretches a small uniform random seed into a long advice string; the requirement is that there is some logspace algorithm that, given a finite automaton and this advice string, simulates the automaton reading a long uniform random input. We prove that ∩α > 0 prBPSPACE(log1 + α n) = ∩α > 0 prDSPACE(log1 + α n) if and only if for every targeted pseudorandom generator against logspace, there is a simulation advice generator for logspace with similar parameters. Finally, we observe that in a certain uniform setting (namely, if we only worry about sequences of automata that can be generated in logspace), targeted pseudorandom generators against logspace can be transformed into simulation advice generators with similar parameters.
Year
DOI
Venue
2017
10.1145/3055399.3055414
STOC
Keywords
DocType
Volume
pseudorandom generators,derandomization,space complexity
Conference
abs/1610.01199
ISSN
Citations 
PageRank 
0737-8017
1
0.36
References 
Authors
6
2
Name
Order
Citations
PageRank
William M. Hoza113.74
Christopher Umans287955.36