Hardness of Solving Sparse Overdetermined Linear Systems

Author:

Guruswami Venkatesan1,Raghavendra Prasad1

Affiliation:

1. University of Washington

Abstract

A classic result due to Håstad established that for every constant ε  > 0, given an overdetermined system of linear equations over a finite field F q where each equation depends on exactly 3 variables and at least a fraction (1 −  ε ) of the equations can be satisfied, it is NP-hard to satisfy even a fraction (1/ q  + ε) of the equations. In this work, we prove the analog of Håstad’s result for equations over the integers (as well as the reals). Formally, we prove that for every ε , δ  > 0, given a system of linear equations with integer coefficients where each equation is on 3 variables, it is NP-hard to distinguish between the following two cases: (i) there is an assignment of integer values to the variables that satisfies at least a fraction (1 −  ε ) of the equations, and (ii) no assignment even of real values to the variables satisfies more than a fraction δ of the equations.

Funder

Division of Computing and Communication Foundations

Publisher

Association for Computing Machinery (ACM)

Subject

Computational Theory and Mathematics,Theoretical Computer Science

Cited by 2 articles. 订阅此论文施引文献 订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献

1. Equivalence Checking of Parameterized Quantum Circuits;Proceedings of the 28th Asia and South Pacific Design Automation Conference;2023-01-16

2. $\mathcal{NP}$-Hardness of Approximately Solving Linear Equations over Reals;SIAM Journal on Computing;2013-01

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