Probability theory and stochastic processes Definition
Interacting particle system
Builds on Feller processInfinitesimal generator of a Markov process
Definition
Let be a countable set of sites, such as , and let be a finite set of local states. A configuration is an element , and carries the product topology, in which it is compact. An interacting particle system on is a Feller process on whose transitions change finitely many coordinates at a time. The rates of these transitions depend on the configuration. The two main classes, with , are given by their generators on functions that depend on finitely many coordinates:
- a spin system with flip rates has where is with the coordinate at changed;
- an exclusion process with jump rates has where is with the coordinates at and exchanged.
Remarks
The rates must be such that this formula defines the generator of a Feller process. For a spin system it suffices that is bounded, each is continuous, and . Example: on , the rates if and if define the contact process; they are bounded by and depend only on the nearest sites. Non-example: a probabilistic cellular automaton, in which all sites update together at each discrete time step, is not of this form, since each of its transitions changes infinitely many coordinates.
Reading path
To understand this page from the ground up, read these 3 pages in order. The foundations come first.
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- no evidence level
- Feller process concept
- Infinitesimal generator of a Markov process concept
- Interacting particle system definition
Further reading
About this page
| Tag | XHXQDYAW3M |
|---|---|
| URI | m2://XHXQDYAW3M |
| Kind | definition |
| Writing | W0 stub |
| MSC | 60K35, 82C22 |
| Defines | Interacting particle system |
| Uses | Feller process, Infinitesimal generator of a Markov process |
| Changed | 2 November 2026 |
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