Litvak–Tikhomirov sparse Bernoulli singularity conjecture

Let Bn(pn)B_n(p_n) be an n×nn\times n random matrix with independent and identically distributed Bernoulli entries of mean pnp_n, and let qn(pn)=P[Bn(pn) is singular]q_n(p_n)=\mathbb{P}[B_n(p_n)\text{ is singular}]. Suppose that (pn)(p_n) is a sequence of real numbers satisfying

0<lim infpnlim suppn<1/2.0<\liminf p_n\leq\limsup p_n<1/2.

Litvak–Tikhomirov conjecture. Then

qn(pn)=(1+on(1))P[Bn(pn) has a zero row or column]=(2+on(1))n(1pn)n.q_n(p_n)=(1+o_n(1))\mathbb{P}[B_n(p_n)\emph{ has a zero row or column}]=(2+o_n(1))n(1-p_n)^n.

This is a sparse-regime refinement in which zero rows and columns are exponentially more likely than pairs of equal rows or columns. The source states that the paper’s theorem resolves this conjecture.

Sources & referencesView supporting material

Primary source

Vishesh Jain, Ashwin Sah and Mehtaab Sawhney, “Sharp invertibility of random Bernoulli matrices”, arXiv:2010.06553 (2021).

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