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
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