DocumentCode
3217971
Title
Power from random strings
Author
Allender, Eric ; Buhrman, Harry ; Koucky, Michal ; Van Melkebeek, Dieter ; Ronneburger, Detlef
fYear
2002
fDate
2002
Firstpage
669
Lastpage
678
Abstract
We show that sets consisting of strings of high Kolmogorov complexity provide examples of sets that are complete for several complexity classes under probabilistic and non-uniform reductions. These sets are provably not complete under the usual many-one reductions. Let RK, RKt, RKS, RKT be the sets of strings x having complexity at least |x|/2, according to the usual Kolmogorov complexity measure K, Levin´s time-bounded Kolmogorov complexity Kt [27], a space-bounded Kolmogorov measure KS, and the time-bounded Kolmogorov complexity measure KT that was introduced in [4], respectively. Our main results are: 1. RKS and RKt are complete for PSPACE and EXP, respectively, under P/poly-truth-table reductions. 2. EXP = NPR(Kt). 3. PSPACE = ZPPR(KS) ⊆ PR(K). 4. The Discrete Log, Factoring, and several lattice problems are solvable in BPPR(KT).
Keywords
computational complexity; set theory; EXP; PSPACE; complexity classes; high Kolmogorov complexity; nonuniform reductions; probabilistic reductions; space-bounded Kolmogorov measure; time-bounded Kolmogorov complexity measure; Artificial intelligence; Circuits; Engineering profession; Lattices; Polynomials;
fLanguage
English
Publisher
ieee
Conference_Titel
Foundations of Computer Science, 2002. Proceedings. The 43rd Annual IEEE Symposium on
ISSN
0272-5428
Print_ISBN
0-7695-1822-2
Type
conf
DOI
10.1109/SFCS.2002.1181992
Filename
1181992
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