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Home  » News » Indian mathematician named joint winner of George Polya Prize

Indian mathematician named joint winner of George Polya Prize

By Lalit K Jha
July 10, 2014 18:05 IST
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Nikhil Srivastava, a young Indian mathematician, on Thursday became the first joint winner of the prestigious 2014 George Polya Prize for finding a solution to a problem that had eluded mathematicians for more than half a century.

Srivastava, who has a PhD from YaleUniversity and is presently based in Bangalore, is part of a three member team which found a solution to the Kadison-Singer conjecture that pertains to the mathematical foundations of quantum mechanics.

"It is definitely inspiring and motivating to be put on a list with so many great mathematicians," said the Indian mathematician from Microsoft Research India. Experts are of the opinion that the implications of this breakthrough could be significant.

"Not only have Marcus, Spielman, and Srivastava proved an important conjecture, which has consequences in various areas of mathematics, but their elegant methods promise to be applicable to a broad range of other problems as well," the citation said.

The Prize was presented to Srivastava and colleagues Adam W Marcus and Daniel A Spielman by Irene Fonseca, professor of mathematics at CarnegieMellonUniversity and current president of Society for Industrial and Applied Mathematics.

The Kadison-Singer conjecture was first proposed by Richard Kadison and Isadore Singer in 1959. Established in 1969, George Polya Prize is given every two years alternately in two categories: for a notable application of combinatorial theory; and for a notable contribution in another area of interest like as approximation theory, complex analysis, number theory, orthogonal polynomials, probability theory, mathematical discovery and learning.

Polya (1887-1985), a Hungarian mathematician, is credited with fundamental advances in combinatorics, numerical analysis, number theory and probability theory. Srivastava is interested in theoretical computer science, linear algebra, random matrices and convex geometry.

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