On the Poisson equation for nonreversible Markov jump processes
arXiv:2310.19219 · doi:10.1063/5.0184909
Abstract
We study the solution of the Poisson equation where is the backward generator of an irreducible (finite) Markov jump process and is a given centered state function. Bounds on are obtained using a graphical representation derived from the Matrix Forest Theorem and using a relation with mean first-passage times. Applications include estimating time-accumulated differences during relaxation toward a steady nonequilibrium regime.
References in corpus (14)
- On the Poisson equation and diffusion approximation 3
- The Matrix of Maximum Out Forests of a Digraph and Its Applications
- Forest matrices around the Laplacian matrix
- Tunneling and Metastability of continuous time Markov chains II, the nonreversible case
- A Nernst heat theorem for nonequilibrium jump processes
- Heat bounds and the blowtorch theorem
- Condenser physics applied to Markov chains - A brief introduction to potential theory
- Trees and forests for nonequilibrium purposes: an introduction to graphical representations
- The vanishing of excess heat for nonequilibrium processes reaching zero ambient temperature
- A graph theoretic interpretation of the mean first passage times
- Laplacian matrices and spanning trees of tree graphs
- Electric network for non-reversible Markov chains
- Commuting time geometry of ergodic Markov chains
- Drazin-Inverse and heat capacity for driven random walks on the ring