DocumentCode
3379588
Title
Short PCPs verifiable in polylogarithmic time
Author
Ben-Sasson, Eli ; Goldreich, Oded ; Harsha, Prahladh ; Sudan, Madhu ; Vadhan, Salil
Author_Institution
Dept. of Comput. Sci., Technion, Haifa, Israel
fYear
2005
fDate
11-15 June 2005
Firstpage
120
Lastpage
134
Abstract
We show that every language in NP has a probabilistically checkable proof of proximity (i.e., proofs asserting that an instance is "close" to a member of the language), where the verifier\´s running time is polylogarithmic in the input size and the length of the probabilistically checkable proof is only polylogarithmically larger that the length of the classical proof. (Such a verifier can only query polylogarithmically many bits of the input instance and the proof. Thus it needs oracle access to the input as well as the proof, and cannot guarantee that the input is in the language - only that it is close to some string in the language.) If the verifier is restricted further in its query complexity and only allowed q queries, then the proof size blows up by a factor of 2(log n)cq/ where the constant c depends only on the language (and is independent of q). Our results thus give efficient (in the sense of running time) versions of the shortest known PCPs, due to Ben-Sasson et al. (STOC \´04) and Ben-Sasson and Sudan (STOC \´05), respectively. The time complexity of the verifier and the size of the proof were the original emphases in the definition of holographic proofs, due to Babai et al. (STOC \´91), and our work is the first to return to these emphases since their work. Of technical interest in our proof is a new complete problem for NEXP based on constraint satisfaction problems with very low complexity constraints, and techniques to arithmetize such constraints over fields of small characteristic.
Keywords
computational complexity; constraint theory; formal languages; probability; theorem proving; NEXP; NP problem; PCP; complexity constraint; constraint satisfaction problems; formal language; holographic proofs; oracle access; polylogarithmic time; probabilistically checkable proof; proximity proof; query complexity; time complexity; Artificial intelligence; Computational complexity; Computer science; Holography; Laboratories;
fLanguage
English
Publisher
ieee
Conference_Titel
Computational Complexity, 2005. Proceedings. Twentieth Annual IEEE Conference on
ISSN
1093-0159
Print_ISBN
0-7695-2364-1
Type
conf
DOI
10.1109/CCC.2005.27
Filename
1443079
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