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Upper tail large deviations of the directed landscape

Published 23 May 2024 in math.PR, math-ph, and math.MP | (2405.14924v1)

Abstract: Starting from one-point tail bounds, we establish an upper tail large deviation principle for the directed landscape at the metric level. Metrics of finite rate are in one-to-one correspondence with measures supported on a set of countably many paths, and the rate function is given by a certain Kruzhkov entropy of these measures. As an application of our main result, we prove a large deviation principle for the directed geodesic.

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