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  <title><![CDATA[ARC Colloquium: Konstantin Tikhomirov (Georgia Tech)]]></title>
  <body><![CDATA[<p align = "center"><strong>Algorithms &amp; Randomness Center (ARC)</strong></p>

<p align = "center"><strong>Konstantin Tikhomirov</strong></p>

<p align = "center"><strong>Monday, March 4, 2019</strong></p>

<p align = "center"><strong>Klaus 1116E - 11:00 am</strong></p>

<p>&nbsp;</p>

<p><strong>Title:&nbsp; </strong>Singularity of Bernoulli random matrices</p>

<p><strong>Abstract:&nbsp; </strong>Abstract: Let X_1,X_2,...,X_n be independent random vectors uniformly distributed on vertices of the n-dimensional cube [-1,1]^n. What is the probability that the vectors are linearly dependent? The question has been studied in the literature since 1960-es, and it was conjectured that</p>

<p>P{the vectors are linearly dependent}=(0.5+o(1))^n.</p>

<p>In this talk, we will discuss a proof of this conjecture based on analysis of the associated random matrix.</p>

<p>----------------------------------</p>

<p><a href="http://people.math.gatech.edu/~ktikhomirov6/">Speaker&#39;s Webpage</a></p>

<p><em>Videos of recent talks are available at: </em><a href="https://smartech.gatech.edu/handle/1853/46836"><em>https://smartech.gatech.edu/handle/1853/46836</em></a></p>

<p><a href="https://mailman.cc.gatech.edu/mailman/listinfo/arc-colloq"><em>Click here to subscribe to the seminar email list: arc-colloq@cc.gatech.edu </em></a></p>
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