均匀随机粒子系统的单调性和凝聚性

IF 1.2 2区 数学 Q2 STATISTICS & PROBABILITY Annales De L Institut Henri Poincare-probabilites Et Statistiques Pub Date : 2015-05-08 DOI:10.1214/17-AIHP821
T. Rafferty, P. Chleboun, S. Grosskinsky
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引用次数: 10

摘要

我们研究了保留粒子密度的随机粒子系统,并由于粒子相互作用而表现出冷凝跃迁。我们将分析限制在具有固定积测度的固定有限格上的空间齐次系统,其中包括先前研究的零范围或反人类过程。所有已知的这种凝聚过程的例子都是非单调的,即动力学不保持状态空间的偏序,规范测度(具有固定数量的粒子)不是单调有序的。对于我们的主要结果,我们证明了具有有限临界密度的凝聚均匀粒子系统必然是非单调的。在固定有限格上,即使临界密度为无穷大,也会发生凝聚现象,在这种情况下,我们给出了一个数值证据表明凝聚过程是单调的例子,并给出了其单调性的部分证明
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Monotonicity and condensation in homogeneous stochastic particle systems
We study stochastic particle systems that conserve the particle density and exhibit a condensation transition due to particle interactions. We restrict our analysis to spatially homogeneous systems on fixed finite lattices with stationary product measures, which includes previously studied zero-range or misanthrope processes. All known examples of such condensing processes are non-monotone, i.e. the dynamics do not preserve a partial ordering of the state space and the canonical measures (with a fixed number of particles) are not monotonically ordered. For our main result we prove that condensing homogeneous particle systems with finite critical density are necessarily non-monotone. On fixed finite lattices condensation can occur even when the critical density is infinite, in this case we give an example of a condensing process that numerical evidence suggests is monotone, and give a partial proof of its monotonicity
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来源期刊
CiteScore
2.70
自引率
0.00%
发文量
85
审稿时长
6-12 weeks
期刊介绍: The Probability and Statistics section of the Annales de l’Institut Henri Poincaré is an international journal which publishes high quality research papers. The journal deals with all aspects of modern probability theory and mathematical statistics, as well as with their applications.
期刊最新文献
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