Branching-coalescing particle systems

• 成果类型: Article
• 署名作者: Athreya, SR; Swart, JM
• 署名单位: Indian Statistical Institute; Indian Statistical Institute Bangalore; University of Erlangen Nuremberg
• 刊物名称: PROBABILITY THEORY AND RELATED FIELDS
• ISSN/ISSBN: 0178-8051
• DOI: 10.1007/s00440-004-0377-4
• 发表日期: 2005
• 页码: 376-414
• 关键词: Ergodicity; THEOREMS; models

摘要

We study the ergodic behavior of systems of particles performing independent random walks, binary splitting, coalescence and deaths. Such particle systems are dual to systems of linearly interacting Wright-Fisher diffusions, used to model a population with resampling, selection and mutations. We use this duality to prove that the upper invariant measure of the particle system is the only homogeneous nontrivial invariant law and the limit started from any homogeneous nontrivial initial law.