DocumentCode :
2112917
Title :
On coherence, random-self-reducibility, and self-correction
Author :
Feigenbaum, Joan ; Fortnow, Lance ; Laplante, Sophie ; Naik, Ashish
Author_Institution :
AT&T Bell Labs., Murray Hill, NJ, USA
fYear :
1996
fDate :
24-27 May 1996
Firstpage :
59
Lastpage :
67
Abstract :
We address two questions about self-reducibility-the power of adaptiveness in examiners that take advice and the relationship between random-self-reducibility and self-correctability. We first show that adaptive examiners are more powerful than nonadaptive examiners, even if the nonadaptive ones are nonuniform. Blum et al. (1993) showed that every random-self-reducible function is self-correctable. However, whether self-correctability implies random-self-reducibility is unknown. We show that, under a reasonable complexity hypothesis, there exists a self-correctable function that is not random-self-reducible. For P-sampleable distributions, however, we show that constructing a self-correctable function that is not random-self-reducible is as hard as proving that P≠PP
Keywords :
Turing machines; computational complexity; Turing machine; adaptive examiners; coherence; complexity; oracle; polynomial-time; self-correction; self-reducibility; Computer science; Cryptography; Polynomials; Testing; Turing machines; Writing;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Computational Complexity, 1996. Proceedings., Eleventh Annual IEEE Conference on
Conference_Location :
Philadelphia, PA
Print_ISBN :
0-8186-7386-9
Type :
conf
DOI :
10.1109/CCC.1996.507668
Filename :
507668
Link To Document :
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