Van H. Vu

Van Ha Vu ( * 1970 in Hanoi ) is a Vietnamese mathematician who deals with combinatorics, number theory and probability theory.

Vu is the son of the poet Vu Quan Phuong in Hanoi went to school and studied from 1989 at the Lorand Eötvös University in Budapest, where he earned his diploma in mathematics Tamás Szőnyi 1994. After that he went to Yale University, where he received his doctorate with László Lovász 1998 ( Embedding Anti- Hadamard matrices, Extremal Set Systems and nibble method). 1998/99, 2005/2006 and 2007 he worked at the Institute for Advanced Study and 1999-2001 at Microsoft Research. In 2001 he was Assistant Professor, Associate Professor from 2003 and from 2005 professor at the University of California, San Diego (UCSD ). Since 2005 he was a professor at Rutgers University and is since 2011 professor at Yale. In 2006 he was a visiting professor at the University of Paris VI. In addition, since 2009 he is professor at the Institute for Mathematics in Hanoi.

In 2010 he proved with Terence Tao, that the eigenvalues ​​of random matrices are ( in the asymptotic limit of large matrices) uniformly distributed on the unit circle. They carried out the proof in the case of independent random variables for the n × n matrix elements with the same distribution function, zero mean and variance. Under more limited conditions of proof had already been done before.

Vu focuses besides random matrices with additive number theory and their connections to combinatorics (additive combinatorics ).

2002 he was a Sloan Fellow and 1997 Sloan Dissertation Fellow. In 2003 he received a Career Award from the National Science Foundation ( NSF). In 2008 he received the George Pólya Prize for the development of inequalities for the concentration of random polynomials. In 2012 he was awarded the Fulkerson Prize.

Besides his Vietnamese Vu also has U.S. citizenship.

Writings

• Tao, Vu: Additive Combinatorics, Cambridge University Press 2006, ISBN 0-521-85386-9