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Surjectivity of near-square random matrices

Published online by Cambridge University Press:  06 November 2019

Hoi. H. Nguyen*
Affiliation:
Department of Mathematics, The Ohio State University, 231 West 18th Avenue, Columbus, OH43210, USA
Elliot Paquette
Affiliation:
Department of Mathematics, The Ohio State University, 231 West 18th Avenue, Columbus, OH43210, USA
*
*Corresponding author. Email: nguyen.1261@math.osu.edu

Abstract

We show that a nearly square independent and identically distributed random integral matrix is surjective over the integral lattice with very high probability. This answers a question by Koplewitz [6]. Our result extends to sparse matrices as well as to matrices of dependent entries.

Type
Paper
Copyright
© Cambridge University Press 2019

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Footnotes

The first author is supported by research grants DMS-1600782 and DMS-1752345.

References

Basak, A. and Rudelson, M. (2017) Invertibility of sparse non-Hermitian matrices. Adv. Math. 310 426483.CrossRefGoogle Scholar
Bourgain, J., Vu, V. and Wood, P. M. (2010) On the singularity probability of discrete random matrices. J. Funct. Anal. 258 559603.CrossRefGoogle Scholar
Halász, G. (1977) Estimates for the concentration function of combinatorial number theory and probability. Periodica Math. Hungar. 8 197211.CrossRefGoogle Scholar
Kahn, J., Komlós, J. and Szemerédi, E. (1995) On the probability that a random ±1 matrix is singular. J. Amer. Math. Soc. 8 223240.Google Scholar
Komlós, J. (1967) On the determinant of (0–1) matrices. Studia Sci. Math. Hungar. 2 722.Google Scholar
Koplewitz, S. (2016) The corank of a rectangular random integer matrix. arXiv:1611.06441Google Scholar
Koplewitz, S. (2017) Random graphs, sandpile groups, and surjectivity of random matrices. PhD thesis, Yale University.Google Scholar
Maples, K. (2010) Singularity of random matrices over finite fields. arXiv:1012.2372Google Scholar
Maples, K. (2011) Arithmetic properties of random matrices. PhD thesis, University of California, Los Angeles.Google Scholar
Maples, K. (2013) Cokernels of random matrices satisfy the Cohen–Lenstra heuristics. arXiv:1301.1239Google Scholar
Nguyen, H. (2012) Inverse Littlewood–Offord problems and the singularity of random symmetric matrices. Duke Math. J. 161 545586.CrossRefGoogle Scholar
Nguyen, H. (2018) Random matrices: Overcrowding estimates for the spectrum. J. Funct. Anal. 275 21972224.CrossRefGoogle Scholar
Rudelson, M. and Vershynin, R. (2008) The Littlewood–Offord problem and invertibility of random matrices. Adv. Math. 218 600633.CrossRefGoogle Scholar
Stanley, R. (1997) Enumerative Combinatorics, Vol. 1, Cambridge University Press.CrossRefGoogle Scholar
Tao, T.and Vu, V. (2006) Additive Combinatorics, Vol. 105, Cambridge University Press.CrossRefGoogle Scholar
Tao, T. and Vu, V. (2007) On the singularity probability of random Bernoulli matrices. J. Amer. Math. Soc. 20 603673.CrossRefGoogle Scholar
Vershynin, R. (2014) Invertibility of symmetric random matrices. Random Struct. Alg. 44 135182.CrossRefGoogle Scholar
Wood, M. M. (2017) The distribution of sandpile groups of random graphs. J. Amer. Math. Soc. 30 915958.CrossRefGoogle Scholar
Wood, M. M. (2019) Random integral matrices and the Cohen–Lenstra heuristics. Amer. J. Math. 141 383398.CrossRefGoogle Scholar