Open Markov chains: cumulant dynamics, fluctuations and correlations

TL;DR

This paper introduces a model for open Markov chains with variable particle numbers, analyzing their cumulant dynamics, fluctuations, and correlations, and providing methods to describe their stationary and time-dependent behaviors.

Contribution

It develops a framework to describe open Markov chains using moment generating functions and cumulant dynamics, including conditions for stationarity and practical analysis tools.

Findings

The system can reach stationarity under certain conditions.

Cumulant dynamics provide a simplified way to analyze fluctuations.

Explicit examples demonstrate the applicability of the methods.

Abstract

In this paper we propose a model for open Markov chains that can be interpreted as a system of non-interacting particles evolving according to the rules of a Markov chain. The number of particles in the system is not constant, because we allow the particles to arrive or leave the state space according to prescribed protocols. We describe this system by looking at the population of particles on every state by establishing the rules of time-evolution of the distribution of particles. We show that it is possible to describe the distribution of particles over the state space through the corresponding moment generating function. Such a description is given through the dynamics ruling the behavior of such a moment generating function and we prove that the system is able to attain the stationarity under some conditions. We also show that it is possible to describe the dynamics of the two first cumulants of the distribution of particles, which in some way is a simpler technique to obtain useful information of the open Markov chain for practical purposes. Finally we also study the behavior of the time-dependent correlation functions of the number of particles present in the system. We give some simple examples of open chains that either, can be fully described through the moment generating function or partially described through the exact solution of the cumulant dynamics.