About Professor Grimmett's lecture - A coin is tossed repeatedly with random outcomes. This list of outcomes may be used to generate a `random walk' in space. Random walks, in turn, lead to so-called Brownian Motion (BM). Applications of BM are widespread in all aspects of science, including even finance. A new notion of a random path has emerged recently at the conjunction of mathematics and physics, and it is transforming our understanding of critical phenomena. There is much to be done, including solving at last the famous problem of the self-avoiding walk.
Geoffrey Grimmett was educated at Oxford University before moving in 1976 to Bristol University for his first tenured post. After sixteen wonderful years in Bristol, he moved in 1992 to the Statistical Laboratory of Cambridge University as Professor of Mathematical Statistics. He was installed as the 17th Master of Downing College on 1 October 2013. His principal scientific interests are probability theory and statistical mechanics, and especially the mathematical theory of disordered physical systems. In addition to numerous research articles, he has written three research books entitled Percolation (1999), The Random-Cluster Model (2006), and Probability on Graphs (2010), and he has co-authored two successful textbooks on probability and random processes at the undergraduate and postgraduate levels.
Full details of his research and publications can be found on Professor Grimmet's website for the Statistical Laboratory.
The lecture series is sponsored by the BOCO Fund.
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