On the singularity of random Bernoulli matrices - novel integer partitions and lower bound expansions
Richard Arratia, Stephen DeSalvo

TL;DR
This paper establishes lower bound expansions for the probability that a random Bernoulli matrix is singular, introduces the concept of novel partitions to characterize null vectors, and conjectures their role in governing singularity probability.
Contribution
It introduces novel partitions as a minimal family to detect singularity in Bernoulli matrices and characterizes their properties and significance in the singularity probability.
Findings
Identified key novel partitions up to seven parts.
Proved that all singular matrices have null vectors associated with these partitions.
Formulated conjectures relating partitions to the Erdős-Littlewood-Offord bound.
Abstract
We prove a lower bound expansion on the probability that a random matrix is singular, and conjecture that such expansions govern the actual probability of singularity. These expansions are based on naming the most likely, second most likely, and so on, ways that a Bernoulli matrix can be singular; the most likely way is to have a null vector of the form , which corresponds to the integer partition 11, with two parts of size 1. The second most likely way is to have a null vector of the form , which corresponds to the partition 1111. The fifth most likely way corresponds to the partition 21111. We define and characterize the "novel partitions" which show up in this series. As a family, novel partitions suffice to detect singularity, i.e., any singular Bernoulli matrix has a left null vector whose underlying integer partition is novel.…
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Taxonomy
TopicsAdvanced Combinatorial Mathematics · Random Matrices and Applications · Topological and Geometric Data Analysis
