Meta Theorem for Hardness on FCP-Problem
By: Atsuki Nagao, Mei Sekiguchi
Potential Business Impact:
Finds the simplest way to solve hard computer problems.
The Fewest Clues Problem (FCP) framework has been introduced to study the complexity of determining whether a solution to an \NP~problem can be uniquely identified by specifying a subset of the certificate. For a given problem $P \in \NP$, its FCP variant is denoted by FCP-$P$. While several \NP-complete problems have been shown to have $\Sigma_2^\p$-complete FCP variants, it remains open whether this holds for all \NP-complete problems. In this work, we propose a meta-theorem that establishes the $\Sigma_2^\p$-completeness of FCP-$P$ under the condition that the \NP-hardness of $P$ is proven via a polynomial-time reduction satisfying certain structural properties. Furthermore, we apply the meta-theorem to demonstrate the $\Sigma_2^\p$-completeness of the FCP variants of several \NP-complete problems.
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