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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
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 ``disordered” 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:
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