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On the mean exit time from a ball for a symmetric stable process

Michal Ryznar

TL;DR

The paper addresses the mean exit time from a ball for symmetric $\alpha$-stable processes and generalizes Getoor's result from the standard isotropic case to arbitrary symmetric stable processes. It employs a reduction to the one-dimensional Getoor identity, a generator-domain argument, and a local Ito formula for jump processes to derive a universal exit-time formula. The main contribution is the explicit expression $E^x\tau^X_{B_r} = \frac{\kappa_\alpha}{\nu(B_1^c)} (r^2 - |x|^2)_+^{\alpha/2}$ with $\kappa_\alpha = \frac{1}{\Gamma(1-\alpha/2)\Gamma(1+\alpha/2)}$. This result highlights a robust, dimensionally consistent exit-time behavior for a broad class of symmetric stable processes and connects to potential theory through the Lévy measure structure.

Abstract

Getoor in [3] calculated the mean exit time from a ball for the standard isotropic $α$-stable process in $\mathbb{R}^d$ starting from the interior of the ball. The purpose of this note is to show that, up to multplicative constant, the same formula is valid for any symmetric $α$-stable process.

On the mean exit time from a ball for a symmetric stable process

TL;DR

The paper addresses the mean exit time from a ball for symmetric -stable processes and generalizes Getoor's result from the standard isotropic case to arbitrary symmetric stable processes. It employs a reduction to the one-dimensional Getoor identity, a generator-domain argument, and a local Ito formula for jump processes to derive a universal exit-time formula. The main contribution is the explicit expression with . This result highlights a robust, dimensionally consistent exit-time behavior for a broad class of symmetric stable processes and connects to potential theory through the Lévy measure structure.

Abstract

Getoor in [3] calculated the mean exit time from a ball for the standard isotropic -stable process in starting from the interior of the ball. The purpose of this note is to show that, up to multplicative constant, the same formula is valid for any symmetric -stable process.

Paper Structure

This paper contains 2 sections, 3 theorems, 35 equations.

Key Result

Theorem 1.1

Let $\nu$ be the Lévy measure of a symmetric $\alpha$-stable process $X_t$. Then where $\kappa_\alpha=\frac{1}{\Gamma(1-\alpha/2)\Gamma(1+\alpha/2)}$.

Theorems & Definitions (6)

  • Theorem 1.1
  • Lemma 2.1
  • proof
  • Corollary 2.2
  • proof
  • proof : proof of Theorem \ref{['main']}