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(SAT, ε-UNSAT)
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(SAT, ε-UNSAT) : ウィキペディア英語版
(SAT, ε-UNSAT)

In computational complexity theory, (SAT, ε-UNSAT) is a language that is used in the proof of the PCP theorem, which relates the language NP to probabilistically checkable proof systems.
For a given 3-CNF formula, Φ, and a constant, ε < 1, Φ is in (SAT, ε-UNSAT) if it is satisfiable and not in (SAT, ε-UNSAT) if the maximum number of satisfiable clauses (MAX-3SAT) is less than or equal to (1-ε) times the number of clauses in Φ. If neither of these conditions are true, the membership of Φ in (SAT, ε-UNSAT) is undefined.
== Complexity ==

It can be shown that (SAT, ε-UNSAT) characterizes PCP(O(log n), O(1)).
L \in \mbox(O(\log n),O(1)), then L \le ( \mbox, \epsilon-\mbox). (See PCP theorem for more information)
Let each bit in the proof ''y'' be y_1, y_2, \ldots, y_m.
First, it is necessary to encode when the verifier accepts in 3CNF clauses \phi=\bigwedge_r \phi_r.
Next, for each random string ''r'', construct a sub-formula \phi_r.
For a fixed ''r'', its possible to determine all the variables queried,
Enumerate each random string ''r'', and add a clause \phi_r = f_r (y_, y_, \ldots , y_) \ , where f_r is true if and only if the PCP system accepts on reading the given random bits ''r''. There are at most 2^q SAT clauses. After these clauses are converted into 3CNF clauses, there are at most q 2 ^ q clauses.
If x \in L, then there is a proof ''y'' such that is accepted for every random string ''r''. Therefore \phi(y_1,y_2,\ldots,y_m) is satisfiable.
If x \notin L, then for every assignment to y_1, y_2, \ldots, y_m the corresponding proof causes the verifier to reject for half of the random strings ''r''. For each ''r'' that is rejected one of the clauses in f_r fails. Therefore at least \epsilon = \frac fraction of the clauses fail.
Therefore L \le (\mbox, \epsilon-\mbox).
For (SAT, \epsilon-UNSAT) \in PCP(O(\log n), O(1)), let the proof that the PCP system reads be a satisfying assignment for the input 3-CNF, Φ. The system chooses O(1/\epsilon) clauses of the proof to check if they are truly satisfied. Note that only \log n random bits are needed to choose one of n clauses, and thus only O(\log n/\epsilon) = O(\log n) total random bits are needed. (Remember that ε is a constant.) For each clause to be checked, only 3 bits need to be read, and thus only O(3/\epsilon) = O(1) (a constant number) of bits from the proof need to be read. The system rejects if any of the clauses are not satisfied. If Φ is satisfiable, then there exists a proof (a truly satisfying assignment) that the system will always accept. If Φ is not in (SAT, ε-UNSAT), this means that an ε fraction of the clauses is not satisfiable. The probability that this system will accept in this case is (1-\epsilon)^ \leq 1/e < 1/2. Therefore, (SAT, \epsilon-UNSAT) \in PCP(O(\log n), O(1)).
(SAT, ε-UNSAT) is an NP-hard language. As part of the proof of the PCP theorem, (SAT, ε-UNSAT) has also been shown to be in PCP(O(log n), O(1)).

抄文引用元・出典: フリー百科事典『 ウィキペディア(Wikipedia)
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