A stochastic telegraph equation from the six-vertex model

Abstract

© Institute of Mathematical Statistics, 2019. A stochastic telegraph equation is defined by adding a random inhomogeneity to the classical (second-order linear hyperbolic) telegraph differential equation. The inhomogeneities we consider are proportional to the twodimensional white noise, and solutions to our equation are two-dimensional random Gaussian fields. We show that such fields arise naturally as asymptotic fluctuations of the height function in a certain limit regime of the stochastic six-vertex model in a quadrant. The corresponding law of large numbers-the limit shape of the height function-is described by the (deterministic) homogeneous telegraph equation.