English

Stochastic dynamics on evolving geometric graphs

Probability 2025-10-01 v1 Functional Analysis

Abstract

We consider an infinite locally finite system (configuration) γ\gamma of particles distributed over a Euclidean space XX. Each particle located at xXx\in X carries an internal parameter (mark, or ``spin'') σxS=R.\sigma_{x}\in S=\mathbb{R}. Such collections of particles form the space of marked configurations Γ(X,S)\Gamma(X,S). We construct the following stochastic dynamics in Γ(X,S)\Gamma(X,S): while the configuration γ\gamma of particle positions performs a random evolution, the corresponding marks interact with each other and perform a coupled infinite-dimensional diffusion. The study of a spin dynamics on a fixed configuration γ\gamma was initiated by Daletskii and Finkelshtein, J. Stat. Phys. 122 ( 2018), and continued by Chargaziya and Daletskii, J. Math. Phys. 66 (2025), and is based on the generalisation of the Ovsjannikov method. In the present paper, the underlying configuration evolves according to a Birth-and-Death process. We prove the existence and uniqueness of such dynamics and show that it forms a c\`adl\`ag process in Γ(X,S)\Gamma(X,S).

Keywords

Cite

@article{arxiv.2509.25427,
  title  = {Stochastic dynamics on evolving geometric graphs},
  author = {Alexei Daletskii and Dmitri Finkelshtein},
  journal= {arXiv preprint arXiv:2509.25427},
  year   = {2025}
}
R2 v1 2026-07-01T06:06:05.168Z