DocumentCode
2356976
Title
Measure on small complexity classes, with applications for BPP
Author
Allender, Eric ; Strauss, Martin
Author_Institution
Dept. of Comput. Sci., Rutgers Univ., New Brunswick, NJ, USA
fYear
1994
fDate
20-22 Nov 1994
Firstpage
807
Lastpage
818
Abstract
We present a notion of resource-bounded measure for P and other subexponential-time classes. This generalization is based on Lutz´s notion of measure, but overcomes the limitations that cause Lutz´s definitions to apply only to classes at least as large as E. We present many of the basic properties of this measure, and use it to explore the class of sets that are hard for BPP. Bennett and Gill showed that almost all sets are hard for BPP; Lutz improved this from Lebesgue measure to measure on ESPACE. We use our measure to improve this still further, showing that for all ε>0, almost every set in Eε is hard for BPP, where Eε=∪δ<εDTIME(2(n δ)), which is the best that can be achieved without showing that BPP is properly contained in E. A number of related results are also obtained in this way
Keywords
computational complexity; BPP; class of sets; resource-bounded measure; resource-bounded measure theory; small complexity classes; subexponential-time classes; Application software; Complexity theory; Computer science; Density measurement; Mathematics; Polynomials; Power measurement; Q measurement; Robustness; Time measurement;
fLanguage
English
Publisher
ieee
Conference_Titel
Foundations of Computer Science, 1994 Proceedings., 35th Annual Symposium on
Conference_Location
Santa Fe, NM
Print_ISBN
0-8186-6580-7
Type
conf
DOI
10.1109/SFCS.1994.365713
Filename
365713
Link To Document