Linear Discrepancy is $\Pi_2$-Hard to Approximate

Abstract In this note, we prove that the problem of computing the linear discrepancy of a given matrix is Π2hard, even to approximate within 9/8 − ǫ factor for any ǫ > 0. This strengthens the NP-hardness result of Li and Nikolov [LN20] for the exact version of the problem, and answers a question posed by them. Furthermore, since Li and Nikolov showed that the problem is contained in Π2, our result makes linear discrepancy another natural problem that is Π2-complete (to approximate).

[1]  László Lovász,et al.  Discrepancy of Set-systems and Matrices , 1986, Eur. J. Comb..

[2]  Rebecca Hoberg,et al.  A Logarithmic Additive Integrality Gap for Bin Packing , 2015, SODA.

[3]  Nikhil Bansal,et al.  Constructive Algorithms for Discrepancy Minimization , 2010, 2010 IEEE 51st Annual Symposium on Foundations of Computer Science.

[4]  Aleksandar Nikolov,et al.  Tight hardness results for minimizing discrepancy , 2011, SODA '11.

[5]  Georg Gottlob,et al.  Note on the Complexity of Some Eigenvector Problems , 1995 .

[6]  Friedrich Eisenbrand,et al.  Bin packing via discrepancy of permutations , 2010, SODA '11.

[7]  Thomas J. Schaefer,et al.  The complexity of satisfiability problems , 1978, STOC.

[8]  Oded Regev,et al.  Hardness of the covering radius problem on lattices , 2006, 21st Annual IEEE Conference on Computational Complexity (CCC'06).

[9]  Jirí Matousek,et al.  Factorization Norms and Hereditary Discrepancy , 2014, ArXiv.

[10]  Aleksandar Nikolov,et al.  On the Computational Complexity of Linear Discrepancy , 2020, ESA.

[11]  Venkatesan Guruswami,et al.  The complexity of the covering radius problem , 2004, Proceedings. 19th IEEE Annual Conference on Computational Complexity, 2004..

[12]  Shachar Lovett,et al.  Constructive Discrepancy Minimization by Walking on the Edges , 2012, 2012 IEEE 53rd Annual Symposium on Foundations of Computer Science.

[13]  Thomas Rothvoss Better Bin Packing Approximations via Discrepancy Theory , 2016, SIAM J. Comput..