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Stochastic dynamics of particle systems on unbounded degree graphs

Georgy Chargaziya, Alexei Daletskii

Abstract

We consider an infinite system of coupled stochastic differential equations (SDE) describing dynamics of the following infinite particle system. Each partricle is characterised by its position $x\in \mathbb{R}^{d}$ and internal parameter (spin) $σ_{x}\in \mathbb{R}$. While the positions of particles form a fixed ("quenched") locally-finite set (configuration) $ γ\subset $ $\mathbb{R}^{d}$, the spins $σ_{x}$ and $σ_{y}$ interact via a pair potential whenever $\left\vert x-y\right\vert <ρ$, where $ρ>0$ is a fixed interaction radius. The number $n_{x}$ of particles interacting with a particle in positionn $x$ is finite but unbounded in $x$. The growth of $n_{x}$ as $x\rightarrow \infty $ creates a major technical problem for solving our SDE system. To overcome this problem, we use a finite volume approximation combined with a version of the Ovsjannikov method, and prove the existence and uniqueness of the solution in a scale of Banach spaces of weighted sequences. As an application example, we construct stochastic dynamics associated with Gibbs states of our particle system.

Stochastic dynamics of particle systems on unbounded degree graphs

Abstract

We consider an infinite system of coupled stochastic differential equations (SDE) describing dynamics of the following infinite particle system. Each partricle is characterised by its position and internal parameter (spin) . While the positions of particles form a fixed ("quenched") locally-finite set (configuration) , the spins and interact via a pair potential whenever , where is a fixed interaction radius. The number of particles interacting with a particle in positionn is finite but unbounded in . The growth of as creates a major technical problem for solving our SDE system. To overcome this problem, we use a finite volume approximation combined with a version of the Ovsjannikov method, and prove the existence and uniqueness of the solution in a scale of Banach spaces of weighted sequences. As an application example, we construct stochastic dynamics associated with Gibbs states of our particle system.
Paper Structure (14 sections, 17 theorems, 139 equations)

This paper contains 14 sections, 17 theorems, 139 equations.

Key Result

Theorem 2.5

Suppose that Assumption mainass holds. Then, for all $p\geq R$ , $\alpha\in\mathcal{A}$, stochastic system (MainSystem) admits a unique

Theorems & Definitions (31)

  • Definition 2.2
  • Remark 2.3
  • Remark 2.4
  • Theorem 2.5
  • Remark 2.6
  • Theorem 2.7
  • Theorem 3.1
  • Theorem 3.2
  • Theorem 3.3
  • Remark 3.4
  • ...and 21 more