On Percolation and $NP$-Hardness

Daniel Reichman; Igor Shinkar

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arXiv · 1508.02071

On Percolation and $NP$-Hardness

Daniel Reichman·Igor Shinkar

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Abstract

We consider the robustness of computational hardness of problems whose input is obtained by applying independent random deletions to worst-case instances. For some classical $NP$-hard problems on graphs, such as Coloring, Vertex-Cover, and Hamiltonicity, we examine the complexity of these problems when edges (or vertices) of an arbitrary graph are deleted independently with probability $1-p > 0$. We prove that for $n$-vertex graphs, these problems remain as hard as in the worst-case, as long as $p > \frac{1}{n^{1-\epsilon}}$ for arbitrary $\epsilon \in (0,1)$, unless $NP \subseteq BPP$. We also prove hardness results for Constraint Satisfaction Problems, where random deletions are applied to clauses or variables, as well as the Subset-Sum problem, where items of a given instance are deleted at random.

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Daniel Reichman, Igor Shinkar. 2015-08-09. On Percolation and $NP$-Hardness. https://arxiv.org/abs/1508.02071

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