DocumentCode
579980
Title
Better Pseudorandom Generators from Milder Pseudorandom Restrictions
Author
Gopalan, Parikshit ; Meka, Raghu ; Reingold, Omer ; Trevisan, Luca ; Vadhan, Salil
fYear
2012
fDate
20-23 Oct. 2012
Firstpage
120
Lastpage
129
Abstract
We present an iterative approach to constructing pseudorandom generators, based on the repeated application of mild pseudorandom restrictions. We use this template to construct pseudorandom generators for combinatorial rectangles and read-once CNFs and a hitting set generator for width-3 branching programs, all of which achieve near-optimal seed-length even in the low-error regime: We get seed-length Õ(log (n/ε)) for error ε. Previously, only constructions with seed-length O(log3/2 n) or O(log2 n) were known for these classes with error ε = 1/poly(n). The (pseudo)random restrictions we use are milder than those typically used for proving circuit lower bounds in that we only set a constant fraction of the bits at a time. While such restrictions do not simplify the functions drastically, we show that they can be derandomized using small-bias spaces.
Keywords
combinatorial mathematics; computational complexity; random number generation; combinatorial rectangles; hitting set generator; iterative approach; near-optimal seed-length; pseudorandom generators; pseudorandom restrictions; read-once CNF; small-bias spaces; width-3 branching programs; Algorithm design and analysis; Approximation methods; Computational modeling; Educational institutions; Generators; Polynomials; Random variables; DNF formulas; Pseudorandom generators; branching programs; combinatorial rectangles; random restrictions;
fLanguage
English
Publisher
ieee
Conference_Titel
Foundations of Computer Science (FOCS), 2012 IEEE 53rd Annual Symposium on
Conference_Location
New Brunswick, NJ
ISSN
0272-5428
Print_ISBN
978-1-4673-4383-1
Type
conf
DOI
10.1109/FOCS.2012.77
Filename
6375289
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