{ "id": "math/0702178", "version": "v2", "published": "2007-02-07T11:23:21.000Z", "updated": "2007-08-20T12:44:48.000Z", "title": "Diffusion approximation for equilibrium Kawasaki dynamics in continuum", "authors": [ "Y. G. Kondratiev", "O. V. Kutoviy", "E. W. Lytvynov" ], "categories": [ "math.PR", "math-ph", "math.MP" ], "abstract": "A Kawasaki dynamics in continuum is a dynamics of an infinite system of interacting particles in $\\mathbb R^d$ which randomly hop over the space. In this paper, we deal with an equilibrium Kawasaki dynamics which has a Gibbs measure $\\mu$ as invariant measure. We study a diffusive limit of such a dynamics, derived through a scaling of both the jump rate and time. Under weak assumptions on the potential of pair interaction, $\\phi$, (in particular, admitting a singularity of $\\phi$ at zero), we prove that, on a set of smooth local functions, the generator of the scaled dynamics converges to the generator of the gradient stochastic dynamics. If the set on which the generators converge is a core for the diffusion generator, the latter result implies the weak convergence of finite-dimensional distributions of the corresponding equilibrium processes. In particular, if the potential $\\phi$ is from $C_{\\mathrm b}^3(\\mathbb R^d)$ and sufficiently quickly converges to zero at infinity, we conclude the convergence of the processes from a result in [Choi {\\it et al.}, J. Math. Phys. 39 (1998) 6509--6536].", "revisions": [ { "version": "v2", "updated": "2007-08-20T12:44:48.000Z" } ], "analyses": { "subjects": [ "60F99", "60J60", "60J75", "60K35" ], "keywords": [ "equilibrium kawasaki dynamics", "diffusion approximation", "gradient stochastic dynamics", "smooth local functions", "finite-dimensional distributions" ], "note": { "typesetting": "TeX", "pages": 0, "language": "en", "license": "arXiv", "status": "editable", "adsabs": "2007math......2178K" } } }