2002
DOI: 10.1214/aop/1029867122
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Stationary blocking measures for one-dimensional nonzero mean exclusion processes

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Cited by 22 publications
(77 citation statements)
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“…In Section 2, we introduce the main tools that will be used in the proof of Theorem 1: (i) coupling and priority rules; (ii) the finite propagation property; (iii) the Burgers-type hydrodynamic limit for finiterange nonzero mean exclusion processes, proved by Rezakhanlou ([13]), and its extension to arbitrary initial conditions, which follows from [2]. In Section 3 we prove the following preliminary statement: at times of order N → ∞, the number of discrepancies in an interval of order N between η .…”
Section: Introduction and Resultsmentioning
confidence: 99%
See 2 more Smart Citations
“…In Section 2, we introduce the main tools that will be used in the proof of Theorem 1: (i) coupling and priority rules; (ii) the finite propagation property; (iii) the Burgers-type hydrodynamic limit for finiterange nonzero mean exclusion processes, proved by Rezakhanlou ([13]), and its extension to arbitrary initial conditions, which follows from [2]. In Section 3 we prove the following preliminary statement: at times of order N → ∞, the number of discrepancies in an interval of order N between η .…”
Section: Introduction and Resultsmentioning
confidence: 99%
“…Theorem 7 is a straightforward consequence of Proposition 3.1 from [2]. For completeness, the proof is detailed in Appendix A.…”
Section: Hydrodynamic Limit and Burgers' Equationmentioning
confidence: 88%
See 1 more Smart Citation
“…The irreducibility assumption (that is (8) in the case of the misanthrope's process) plays an essential role there. To take advantage of [17], we treat separately the movements of discrepancies corresponding to big jumps, which can be controlled thanks to the finiteness of the first moment (that is, assumption (M4) on page 10).…”
Section: Cauchy Problemmentioning
confidence: 99%
“…Other models for which this has been proved include one-dimensional two-type contact processes with strong bias (in the sense that one type can overtake the other, but not vice versa) [AMPV10], or no bias (no type can infect a site occupied by the other type) [Val10,MV16], as well as one-dimensional asymmetric exclusion processes that admit so-called blocking measures (see e.g. [BM02,BLM02]).…”
Section: Introduction 1interface Tightnessmentioning
confidence: 99%