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Math @ Duke
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Publications [#156904] of Jonathan C. Mattingly
Papers Submitted
- with Scott A. McKinley, Natesh S. Pillai, Geometric ergodicity of a bead-spring pair with stochastic Stokes forcing
(2009) [0902.4496v1]
(last updated on 2009/03/03)
Abstract: We consider a simple model for the fluctuating hydrodynamics of a flexible polymer in dilute solution, demonstrating geometric ergodicity for a pair of particles that interact with each other through a nonlinear spring potential while being advected by a stochastic Stokes fluid velocity field. This is a generalization of previous models which have used linear spring forces as well as white-in-time fluid velocity fields.
We follow previous work combining control theoretic arguments, Lyapunov functions, and hypo-elliptic diffusion theory to prove exponential convergence via a Harris chain argument. To this, we add the possibility of excluding certain "bad" sets in phase space in which the assumptions are violated but from which the systems leaves with a controllable probability. This allows for the treatment of singular drifts, such as those derived from the Lennard-Jones potential, which is an novel feature of this work.
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