
arXiv: 2101.04036
AbstractA recent approach to the Beck–Fiala conjecture, a fundamental problem in combinatorics, has been to understand when random integer matrices have constant discrepancy. We give a complete answer to this question for two natural models: matrices with Bernoulli or Poisson entries. For Poisson matrices, we further characterize the discrepancy for any rectangular aspect ratio. These results give sharp answers to questions of Hoberg and Rothvoß (SODA 2019) and Franks and Saks (Random Structures Algorithms2020). Our main tool is a conditional second moment method combined with Stein's method of exchangeable pairs. While previous approaches are limited to dense matrices, our techniques allow us to work with matrices of all densities. This may be of independent interest for other sparse random constraint satisfaction problems.
FOS: Computer and information sciences, Discrete Mathematics (cs.DM), Probability (math.PR), Linear and multilinear algebra; matrix theory, sparse random graphs, discrepancy, FOS: Mathematics, Mathematics - Combinatorics, Stein's method, random constraint satisfaction, Combinatorics (math.CO), Mathematics - Probability, Numerical analysis, Computer Science - Discrete Mathematics
FOS: Computer and information sciences, Discrete Mathematics (cs.DM), Probability (math.PR), Linear and multilinear algebra; matrix theory, sparse random graphs, discrepancy, FOS: Mathematics, Mathematics - Combinatorics, Stein's method, random constraint satisfaction, Combinatorics (math.CO), Mathematics - Probability, Numerical analysis, Computer Science - Discrete Mathematics
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