Exact solution of free entropy for matrix-valued geometric Brownian motion with non-commutative matrices via the replica method

TL;DR

This paper derives an exact analytical expression for the free entropy of a matrix-valued geometric Brownian motion with non-commutative matrices by employing the replica method and mapping it to a quantum spin model.

Contribution

It introduces a novel application of the replica method to solve for free entropy in non-commutative matrix-valued GBM, overcoming diagonalization challenges.

Findings

Exact free entropy expression obtained

Analytical results validated by numerical simulations

Mapping to Lipkin-Meshkov-Glick model enables solution

Abstract

Geometric Brownian motion (GBM) is a standard model in stochastic differential equations. In this study, we consider a matrix-valued GBM with non-commutative matrices. Introduction of non-commutative matrices into the matrix-valued GBM makes it difficult to obtain an exact solution because the existence of noise terms prevents diagonalization. However, we show that the replica method enables us to overcome this difficulty. We map the trace of the time evolution operator of the matrix-valued GBM with non-commutative matrices into the partition function of the isotropic Lipkin-Meshkov-Glick model used in quantum spin systems. Then, solving the eigenvalue problem of the isotropic Lipkin-Meshkov-Glick model, we obtain an analytical expression of the free entropy. Numerical simulation is consistent with our analytical result. Thus, our expression is the exact solution of the free entropy for the matrix-valued GBM with non-commutative matrices.