Tuan TRAN, gave a lecture titled “Switching Costs, Operating Policy and Financing Decisions” at AMSS on 8, December 2020. The Littlewood-Offord Theory studies anti-concentration phenomenon which asserts that nice (discrete) random variables do not place a large mass on a single point. This theory has been developed by many researchers through decades, and has recently found important implications in various branches of mathematics. In this talk we will discuss applications of the theory in extremal combinatorics, as well as random matrices theory. Tuan Tran is a Young Scientist Fellow at the Institute for Basic Science (IBS), South Korea. His research interests include Discrete Probability, Extremal Combinatorics, Ramsey Theory, Additive Number Theory. From Sep 2019 until Jun 2020, he was a Lecturer at Hanoi University of Science and Technology. From Aug 2017 to Aug 2019, he was a postdoc at ETH Zurich. Before that I was a postdoc at the Czech Academy of Sciences. He received my PhD from Free University of Berlin in Nov 2015.
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