
doi: 10.1007/bf00322020
We consider limit theorems for the asymmetric nearest neighbor exclusion process on the integers. The initial distribution is a product measure with asymptotic density \(\lambda\) at -\(\infty\) and \(\rho\) at \(+\infty\). Earlier results described the limiting behavior in all cases except for \(0<\lambda <1/2\), \(\lambda +\rho =1.\) Here we treat the exceptional case, which is more delicate. It corresponds to the one in which a shock wave occurs in an associated partial differential equation. In the cases treated earlier, the limit was an extremal invariant measure. By contrast, in the present case the limit is a mixture of two invariant measures. Our theorem resolves a conjecture made by the third author in `Interacting particle systems.' (1985; Zbl 0559.60078). The convergence proof is based on coupling and symmetric considerations.
extremal invariant measure, Strong limit theorems, asymmetric nearest neighbor exclusion process, symmetry considerations, Interacting random processes; statistical mechanics type models; percolation theory, coupling
extremal invariant measure, Strong limit theorems, asymmetric nearest neighbor exclusion process, symmetry considerations, Interacting random processes; statistical mechanics type models; percolation theory, coupling
| selected citations These citations are derived from selected sources. This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically). | 64 | |
| popularity This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network. | Top 10% | |
| influence This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically). | Top 1% | |
| impulse This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network. | Top 10% |
