English

Optimal Trapping of Brownian Motion: A Nonlinear Analogue of the Torsion Function

Analysis of PDEs 2019-08-20 v1 Probability

Abstract

We study the problem of maximizing the expected lifetime of drift diffusion in a bounded domain. More formally, we consider the PDE Δu+b(x)u=1\mboxin Ω - \Delta u + b(x) \cdot \nabla u = 1 \qquad \mbox{in}~\Omega subject to Dirichlet boundary conditions for bL\|b\|_{L^{\infty}} fixed. We show that, in any given C2C^2-domain Ω\Omega, the vector field maximizing the expected lifetime is (nonlinearly) coupled to the solution and satisfies b=bLu/ub = -\|b\|_{L^{\infty}} \nabla u/ |\nabla u| which reduces the problem to the study of the nonlinear PDE Δubu=1, -\Delta u - b \cdot \left| \nabla u \right| = 1, where b=bLb = \|b\|_{L^{\infty}} is a constant. We believe that this PDE is a natural and interesting nonlinear analogue of the torsion function. We prove that, for fixed volume, uL1\| \nabla u\|_{L^1} and ΔuL1\|\Delta u\|_{L^1} are maximized if Ω\Omega is the ball (the ball is also known to maximize uLp\|u\|_{L^p} for p1p \geq 1 from a result of Hamel \& Russ).

Keywords

Cite

@article{arxiv.1908.06273,
  title  = {Optimal Trapping of Brownian Motion: A Nonlinear Analogue of the Torsion Function},
  author = {Jianfeng Lu and Stefan Steinerberger},
  journal= {arXiv preprint arXiv:1908.06273},
  year   = {2019}
}