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dc.contributor.authorJain, Vishesh
dc.contributor.authorSah, Ashwin
dc.contributor.authorSawhney, Mehtaab
dc.date.accessioned2022-01-04T14:30:00Z
dc.date.available2022-01-04T14:30:00Z
dc.date.issued2021-10-22
dc.identifier.urihttps://hdl.handle.net/1721.1/138793
dc.description.abstractAbstract Let $$\xi $$ ξ be a non-constant real-valued random variable with finite support and let $$M_{n}(\xi )$$ M n ( ξ ) denote an $$n\times n$$ n × n random matrix with entries that are independent copies of $$\xi $$ ξ . For $$\xi $$ ξ which is not uniform on its support, we show that $$\begin{aligned} {\mathbb {P}}[M_{n}(\xi )\text { is singular}]&= {\mathbb {P}}[\text {zero row or column}] \\ {}&\quad +(1+o_n(1)){\mathbb {P}}[\text {two equal (up to sign) rows or columns}], \end{aligned}$$ P [ M n ( ξ ) is singular ] = P [ zero row or column ] + ( 1 + o n ( 1 ) ) P [ two equal (up to sign) rows or columns ] , thereby confirming a folklore conjecture. As special cases, we obtain: For $$\xi = {\text {Bernoulli}}(p)$$ ξ = Bernoulli ( p ) with fixed $$p \in (0,1/2)$$ p ∈ ( 0 , 1 / 2 ) , $$\begin{aligned} {\mathbb {P}}[M_{n}(\xi )\text { is singular}] = 2n(1-p)^{n} + (1+o_n(1))n(n-1)(p^2 + (1-p)^2)^{n}, \end{aligned}$$ P [ M n ( ξ ) is singular ] = 2 n ( 1 - p ) n + ( 1 + o n ( 1 ) ) n ( n - 1 ) ( p 2 + ( 1 - p ) 2 ) n , which determines the singularity probability to two asymptotic terms. Previously, no result of such precision was available in the study of the singularity of random matrices. The first asymptotic term confirms a conjecture of Litvak and Tikhomirov. For $$\xi = {\text {Bernoulli}}(p)$$ ξ = Bernoulli ( p ) with fixed $$p \in (1/2,1)$$ p ∈ ( 1 / 2 , 1 ) , $$\begin{aligned} {\mathbb {P}}[M_{n}(\xi )\text { is singular}] = (1+o_n(1))n(n-1)(p^2 + (1-p)^2)^{n}. \end{aligned}$$ P [ M n ( ξ ) is singular ] = ( 1 + o n ( 1 ) ) n ( n - 1 ) ( p 2 + ( 1 - p ) 2 ) n . Previously, only the much weaker upper bound of $$(\sqrt{p} + o_n(1))^{n}$$ ( p + o n ( 1 ) ) n was known due to the work of Bourgain–Vu–Wood. For $$\xi $$ ξ which is uniform on its support: We show that $$\begin{aligned} {\mathbb {P}}[M_{n}(\xi )\text { is singular}]&= (1+o_n(1))^{n}{\mathbb {P}}[\text {two rows or columns are equal}]. \end{aligned}$$ P [ M n ( ξ ) is singular ] = ( 1 + o n ( 1 ) ) n P [ two rows or columns are equal ] . Perhaps more importantly, we provide a sharp analysis of the contribution of the ‘compressible’ part of the unit sphere to the lower tail of the smallest singular value of $$M_{n}(\xi )$$ M n ( ξ ) .en_US
dc.publisherSpringer International Publishingen_US
dc.relation.isversionofhttps://doi.org/10.1007/s00039-021-00580-6en_US
dc.rightsArticle is made available in accordance with the publisher's policy and may be subject to US copyright law. Please refer to the publisher's site for terms of use.en_US
dc.sourceSpringer International Publishingen_US
dc.titleSingularity of discrete random matricesen_US
dc.typeArticleen_US
dc.identifier.citationJain, Vishesh, Sah, Ashwin and Sawhney, Mehtaab. 2021. "Singularity of discrete random matrices."
dc.contributor.departmentMassachusetts Institute of Technology. Department of Mathematics
dc.eprint.versionAuthor's final manuscripten_US
dc.type.urihttp://purl.org/eprint/type/JournalArticleen_US
eprint.statushttp://purl.org/eprint/status/PeerRevieweden_US
dc.date.updated2021-12-28T04:13:58Z
dc.language.rfc3066en
dc.rights.holderThe Author(s), under exclusive licence to Springer Nature Switzerland AG
dspace.embargo.termsY
dspace.date.submission2021-12-28T04:13:57Z
mit.licensePUBLISHER_POLICY
mit.metadata.statusAuthority Work and Publication Information Neededen_US


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