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    If P = NP, then every problem in NP is solvable in polyno... — Carmelics
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    Supports→If P = NP, then whether a mathematical formula is derivable by a proof of feasible length could be determined by an efficient algorithm.

    If P = NP, then every problem in NP is solvable in polynomial time

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    Determining membership in n-PROVABILITY_T is an NP problemIf P = NP, then whether a mathematical formula is derivable by a proof of feasib...n-PROVABILITY_T is in NP

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    If P = NP, then every problem in NP is solvable in polynomial time.100%If any single NP-complete problem has a polynomial time algorithm, the...89%If any NP-complete problem has a polynomial time algorithm, then all p...88%Every problem in NP is polynomial-time reducible to any NP-complete pr...87%

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    But in a letter to von Neumann, Gödel (1956) observed that if we were able to efficiently decide \(n\text{-}\sc{PROVABILITY}_{\mathsf{T}}\), then this would already have enormous significance for mathematical practice. For note that it seems plausible to assume that no human mathematician will ever be able to comprehend a proof containing 100 million symbols (\(\approx 25000\) pages). If we were able to efficiently check if \(\phi \in n\text{-}\sc{PROVABILITY}_{\mathsf{T}}\) (say for \(n = 10^8\

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