Quantitative ergodicity for the symmetric exclusion process with stationary initial data
نویسندگان
چکیده
We consider the symmetric exclusion process on $d$-dimensional lattice with translational invariant and ergodic initial data. It is then known that as $t$ diverges distribution of at time converges to a Bernoulli product measure. Assuming summable decay correlations data, we prove quantitative version this convergence by obtaining an explicit bound Ornstein $\bar d$-distance. The proof based analysis two species annihilation.
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ژورنال
عنوان ژورنال: Electronic Communications in Probability
سال: 2021
ISSN: ['1083-589X']
DOI: https://doi.org/10.1214/21-ecp421