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University of Cambridge > Talks.cam > Probability > Empirical measures, geodesic lengths, and a variational formula in first-passage percolation

## Empirical measures, geodesic lengths, and a variational formula in first-passage percolationAdd to your list(s) Download to your calendar using vCal - Erik Bates, University of Wisconsin-Madison
- Tuesday 02 November 2021, 14:00-15:00
- MR12 Centre for Mathematical Sciences.
If you have a question about this talk, please contact Sourav Sarkar. We consider the standard first-passage percolation model on Z^d, in which each edge is assigned an i.i.d. nonnegative weight, and the passage time between any two points is the smallest total weight of a nearest-neighbor path between them. This induces a random ``disorderedâ€ť geometry on the lattice. Our primary interest is in the empirical measures of edge-weights observed along geodesics in this geometry, say from 0 to [n\xi], where \xi is a fixed unit vector. For various dense families of edge-weight distributions, we prove that these measures converge weakly to a deterministic limit as n tends to infinity. The key tool is a new variational formula for the time constant. In this talk, I will derive this formula and discuss its implications for the convergence of both empirical measures and lengths of geodesics. This talk is part of the Probability series. ## This talk is included in these lists:- All CMS events
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