Towards a Matrix Product Ansatz in Two Dimensions

TL;DR

This paper extends the matrix product ansatz to two-dimensional stochastic systems, providing exact solutions for a non-conserved exclusion model and revealing its connection to equilibrium lattice gases.

Contribution

It introduces a 2D matrix product formalism and applies it to exactly solve a non-conserved exclusion process, linking it to known equilibrium models.

Findings

Exact steady-state weights for the 2D model

Identification of a phase transition at critical density 0.5

Mapping of the steady state to a hard-square lattice gas

Abstract

Matrix product ansatz (MPA) is a powerful framework for constructing exact steady state weights of one dimensional non-equilibrium stochastic processes; but its generalization to higher dimensions is limited. Here, we introduce the MPA formalism for two dimensions (2D). As a concrete application, we introduce and exactly solve a non-conserved assisted exclusion model (NAEM) in one and two dimensions with constrained hopping and local birth-death dynamics: a particle can hop to a neighbouring site only when exactly one of its neighbouring sites is vacant, while creation and annihilation occur exclusively at sites whose neighbours are all occupied. The MPA yields exact steady-state weights and provides a systematic method to compute observables such as density moments and particle currents. In the particle-conserving limit, the system undergoes an absorbing phase transition at the critical density $\rho_c=\frac12$ with order-parameter exponent $\beta=3$. We further show that the steady state of the NAEM maps exactly onto the well-studied hard-square lattice gas with nearest-neighbour exclusion, thereby providing a nonequilibrium dynamical route to realizing equilibrium states of constrained lattice gases. Our work generalizes matrix-product methods beyond one dimension, establishing a systematic approach to exact solutions of interacting stochastic systems in 2D.