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Random walk on the simple symmetric exclusion process/ Daniel Kious.

By: Contributor(s): Publication details: Rio de Janeiro: IMPA, 2021.Description: online lectureSubject(s): DDC classification:
  • cs
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Abstract: In a joint work with Marcelo R. Hilário and Augusto Teixeira, we investigate the long-term behavior of a random walker evolving on top of the simple symmetric exclusion process (SSEP) at equilibrium. At each jump, the random walker is subject to a drift that depends on whether it is sitting on top of a particle or a hole. The asymptotic behavior is expected to depend on the density ? in [0, 1] of the underlying SSEP. Our first result is a law of large numbers (LLN) for the random walker for all densities ? except for at most two values ?- and ?+ in [0, 1], where the speed (as a function fo the density) possibly jumps from, or to, 0. Second, we prove that, for any density corresponding to a non-zero speed regime, the fluctuations are diffusive and a Central Limit Theorem holds. Our main results extend to environments given by a family of independent simple symmetric random walks in equilibrium .
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Lecture - online event

Abstract: In a joint work with Marcelo R. Hilário and Augusto Teixeira, we investigate the long-term behavior of a random walker evolving on top of the simple symmetric exclusion process (SSEP) at equilibrium. At each jump, the random walker is subject to a drift that depends on whether it is sitting on top of a particle or a hole. The asymptotic behavior is expected to depend on the density ? in [0, 1] of the underlying SSEP. Our first result is a law of large numbers (LLN) for the random walker for all densities ? except for at most two values ?- and ?+ in [0, 1], where the speed (as a function fo the density) possibly jumps from, or to, 0. Second, we prove that, for any density corresponding to a non-zero speed regime, the fluctuations are diffusive and a Central Limit Theorem holds. Our main results extend to environments given by a family of independent simple symmetric random walks in equilibrium .

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