Recognizing Sumsets is NP-Complete

October 24, 2024 Β· Declared Dead Β· πŸ› ACM-SIAM Symposium on Discrete Algorithms

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Authors Amir Abboud, Nick Fischer, Ron Safier, Nathan Wallheimer arXiv ID 2410.18661 Category cs.DS: Data Structures & Algorithms Cross-listed cs.CC, cs.DM Citations 2 Venue ACM-SIAM Symposium on Discrete Algorithms Last Checked 4 months ago
Abstract
Sumsets are central objects in additive combinatorics. In 2007, Granville asked whether one can efficiently recognize whether a given set $S$ is a sumset, i.e. whether there is a set $A$ such that $A+A=S$. Granville suggested an algorithm that takes exponential time in the size of the given set, but can we do polynomial or even linear time? This basic computational question is indirectly asking a fundamental structural question: do the special characteristics of sumsets allow them to be efficiently recognizable? In this paper, we answer this question negatively by proving that the problem is NP-complete. Specifically, our results hold for integer sets and over any finite field. Assuming the Exponential Time Hypothesis, our lower bound becomes $2^{Ξ©(n^{1/4})}$.
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