English

Towards a Matrix Product Ansatz in Two Dimensions

Statistical Mechanics 2026-05-20 v1

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 ρc=12\rho_c=\frac12 with order-parameter exponent β=3\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.

Keywords

Cite

@article{arxiv.2605.20160,
  title  = {Towards a Matrix Product Ansatz in Two Dimensions},
  author = {Chandraniva Guha Ray and Aikya Banerjee and P. K. Mohanty},
  journal= {arXiv preprint arXiv:2605.20160},
  year   = {2026}
}

Comments

23 pages, 6 Figures

R2 v1 2026-07-22T07:22:18.144Z