Stochastically switching diffusion with partially reactive surfaces
arXiv:2205.13985 · doi:10.1103/PhysRevE.106.034108
Abstract
In this paper we develop a hybrid version of the encounter-based approach to diffusion-mediated absorption at a reactive surface, which takes into account stochastic switching of a diffusing particle's conformational state. For simplicity, we consider a two-state model in which the probability of surface absorption depends on the current particle state and the amount of time the particle has spent in a neighborhood of the surface in each state. The latter is determined by a pair of local times , , which are Brownian functionals that keep track of particle-surface encounters over the time interval . We proceed by constructing a differential Chapman-Kolmogorov equation for a pair of generalized propagators $P_n(\x,\ell_0,\ell_1,t)$, where is the joint probability density for the set $(\X_t,\ell_{0,t},\ell_{1,t})$ when , where $\X_t$ denotes the particle position and is the corresponding conformational state. Performing a double Laplace transform with respect to yields an effective system of equations describing diffusion in a bounded domain , in which there is switching between two Robin boundary conditions on . The corresponding constant reactivities are , , where is the Laplace variable corresponding to and is the diffusivity. Given the solution for the propagators in Laplace space, we construct a corresponding probabilistic model for partial absorption, which requires finding the inverse Laplace transform with respect to . We illustrate the theory by considering diffusion of a particle on the half-line with the boundary at effectively switching between a totally reflecting and a partially absorbing state. Finally, we indicate how to extend the analysis to higher spatial dimensions using the spectral theory of Dirichlet-to-Neumann operators.
arXiv comment29 pages, 5 figures
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