Eminent Indian-American mathematician Nikhil Srivastava, who teaches on the College of California, Berkeley, has been collectively chosen for the inaugural Ciprian Foias Prize in Operator Concept by American Mathematical Society (AMS).
Together with Nikhil Srivastava, the 2 different awardees are Adam Marcus and Daniel Spielman. Adam Marcus holds the Chair of Combinatorial Evaluation on the Ecole Polytechnique Federale de Lausanne (EPFL) in Switzerland. Daniel Spielman is Sterling Professor of Pc Science, a professor of statistics and knowledge science, and a professor of arithmetic.
The award recognises their extremely authentic work that launched and developed strategies for understanding the attribute polynomial of matrices, particularly the iterative sparsification methodology (additionally in collaboration with Batson) and the tactic of interlacing polynomials, a media launch stated.
“Collectively, these concepts offered a strong toolkit with many purposes, notably within the trio’s breakthrough paper “Interlacing households II: blended attribute polynomials and the Kadison-Singer downside” (Annals of Arithmetic, 2015), which solves the well-known “paving downside” in operator principle, formulated by Richard Kadison and Isadore Singer in 1959,” American Mathematical Society stated.
In a joint assertion, the three awardees stated they want to settle for it on behalf of the many individuals whose work contributed to the decision of the Kadison-Singer downside.
“Our involvement was the ultimate chapter of an incredible story we hope will encourage comparable options to tough issues sooner or later,” they stated.
The prize will probably be introduced to Professor Nikhil Srivastava and his colleagues on January 5 subsequent yr on the 2022 Joint Arithmetic Assembly in Seattle, described as “the most important arithmetic gathering on the planet.”
The Ciprian Foias Prize is the third main prize received by Nikhil Srivastava, who earlier collectively received the George Polya Prize in 2014, and the Held prize in 2021.
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