Integrability and Universality in Probability

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About Mathematics and Physical Sciences

Mathematics and Physical Sciences lectures are open to the public and are held at the Gerald D. Fischbach Auditorium at the Simons Foundation headquarters in New York City. Tea is served prior to each lecture.

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Integrability and universality are key concepts that underlie many developments in modern probability. Integrable probabilistic systems are very special — they possess additional structures that make them amenable to a detailed analysis. The universality principle states that probabilistic systems from the same ‘universality class’ share many features. Thus, generic systems must be similar to the integrable ones in the class. In this lecture, Alexei Borodin will illustrate how these two concepts work together in examples from random matrices to random interface growth.

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About the Speaker

Alexei Borodin joined the Massachusetts Institute of Technology faculty as professor of mathematics in 2010. He studies problems on the interface of representation theory and probability that link to combinatorics, random matrix theory and integrable systems.

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