Superposition of Spatially Interacting Aggregated Continuous Time Markov Chains

A system s{ X(t)} = {X ₁(t),X ₂(t),..., X _N(t)} of N interacting time reversible continuous time Markov chains is considered. The state space of each of the processes {X _i(t)} (i = 1, 2,...,N) is partitioned into two aggregates. Interaction between the processes {X _i(t)},{X ₂(t)},...,{X _N(t)} is introduced by allowing the transition rates of an individual process at time t to depend on the configuration of aggregates occupied by the other N - 1 processes at that time. The motivation for this work comes from ion channel modeling, where {(X}(t)} describes the gating mechanisms of N channels and the partitioning of the state space of {X _i(t)} correspond to whether the channel is conducting or not. Let S(t) denote the number of conducting channels at time t. For a time-reversible class of such processes, expressions are derived for the mean and probability density function of the sojourns of {S(t)} at its different levels when {X(t)} is in equilibrium. Particular attention is paid to the situation when the N channels are located on a circle with nearest neighbor interaction. Necessary and sufficient conditions for a general co-operative multiple channel system to be time reversible are derived.