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Speaker：Liu Shiping, Professor, School of Mathematical Sciences, University of Science and Technology of China
Date: August 16, 2022
Location: Tecent Meeting
Sponsor: Research Center for Mathematics and Interdisciplinary Sciences, Shandong University
Research Center for Nonlinear Expectation
Random fields with isotropic increments were introduced by Kolmogorov in the 1940s. Gaussian random fields on N-dimensional Euclidean spaces with isotropic increments were classified as isotropic case and non-isotropic case by Yaglom in the 1950s. Such models were used widely in statistical physics. In particular, they were introduced to model a single particle in a random potential by Engel, Mezard and Parisi in 1990s. A basic question is to count the number of critical points (or local minima, saddles) of the fields, which is commonly known as complexity. In 2004, Fyodorov computed the large N limit of expected number of critical points for isotropic Gaussian random fields. In this talk, I will present some results on the large N behavior of complexity of non-isotropic Gaussian random fields with isotropic increments. Connection to random matrices and large deviations will be explained. This talk is based on joint works with Antonio Auffinger (Northwestern University) and Hao Xu (University of Macau).
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