DocumentCode
2144187
Title
Hard sets are hard to find
Author
Buhrman, H. ; van Melkebeek, D.
Author_Institution
CWI, Amsterdam, Netherlands
fYear
1998
fDate
15-18 Jun 1998
Firstpage
170
Lastpage
181
Abstract
We investigate the frequency of complete sets for various complexity classes within EXP under several polynomial-time reductions in the sense of resource bounded measure. We show that these sets are scarce: The sets that are complete under ⩽(nα-tt -)P reductions for NP, the levels of the polynomial-time hierarchy, and PSPACE have p2-measure zero for any constant α<1. The ⩽(nc-T)P-complete sets for EXP have p2 -measure zero for any constant c. Assuming MA≠EXP, the ⩽ ttP-complete sets for EXP have p-measure zero. A key ingredient is the Small Span Theorem, which states that for any set A in EXP at least one of its lower span (i.e., the sets that reduce to A) or its upper span (i.e., the sets that A reduces to) has p2-measure zero. Previous to our work, the theorem was only known to hold for ⩽bttp-reductions. We establish it for ⩽(n0(1)-tt)p-reductions
Keywords
computational complexity; NP; PSPACE; Small Span Theorem; complete sets; complexity classes; polynomial-time hierarchy; polynomial-time reductions; resource bounded measure; Complexity theory; Computer science; Frequency; Polynomials; Uniform resource locators;
fLanguage
English
Publisher
ieee
Conference_Titel
Computational Complexity, 1998. Proceedings. Thirteenth Annual IEEE Conference on
Conference_Location
Buffalo, NY
ISSN
1093-0159
Print_ISBN
0-8186-8395-3
Type
conf
DOI
10.1109/CCC.1998.694602
Filename
694602
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