Green's Functions with Oblique Neumann Boundary Conditions in the Quadrant
Sandro Franceschi
TL;DR
The article addresses the problem of characterizing Green's functions for a transient obliquely reflected Brownian motion in the quadrant by deriving an explicit integral formula for the moment generating function $\psi$ of Green's measure and its boundary components $\psi_1$, $\psi_2$. The main approach introduces a kernel functional equation $-\gamma(\theta)\psi(\theta)=\gamma_1(\theta)\psi_1(\theta_2)+\gamma_2(\theta)\psi_2(\theta_1)+e^{\theta\cdot x}$ and proceeds through kernel analysis, holomorphic continuation, and a Carleman boundary value problem, ultimately solving the problem via a conformal glueing function and a contour-integral representation. The paper provides a complete analytic framework, including a detailed BVP resolution and a discussion of decoupling functions to simplify the problem in special cases, extending potential theory for non-smooth domains with oblique reflection. These results yield a computable integral formula for Green's functions and open avenues for asymptotic analysis, invariant measures, and extensions to wedges or higher dimensions with potential applications in stochastic networks and related fields.
Abstract
We study semi-martingale obliquely reflected Brownian motion with drift in the first quadrant of the plane in the transient case. Our main result determines a general explicit integral expression for the moment generating function of Green's functions of this process. To that purpose we establish a new kernel functional equation connecting moment generating functions of Green's functions inside the quadrant and on its edges. This is reminiscent of the recurrent case where a functional equation derives from the basic adjoint relationship which characterizes the stationary distribution. This equation leads us to a non-homogeneous Carleman boundary value problem. Its resolution provides a formula for the moment generating function in terms of contour integrals and a conformal mapping.
