Explore a 57-minute lecture from UC Berkeley's Dan-Virgil Voiculescu at IPAM's Free Entropy Theory and Random Matrices Workshop, where he delves into the fundamental concepts of entropy in free probability theory. Gain insights into the analogous relationship between classical entropy and its free probability counterpart, discover various applications of these mathematical concepts, and examine current open problems in the field. Delivered at UCLA's Institute for Pure & Applied Mathematics, the presentation serves as an essential background discussion for mathematicians and researchers interested in free probability theory and its intersections with random matrices.
Free Entropy Theory: Applications and Open Problems in Free Probability
Institute for Pure & Applied Mathematics (IPAM) via YouTube
Overview
Syllabus
Dan-Virgil Voiculescu - Around Free Entropy - IPAM at UCLA
Taught by
Institute for Pure & Applied Mathematics (IPAM)
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