A scaling proof for Walsh's Brownian motion extended arc-sine law
Stavros Vakeroudis (ULB), Marc Yor (LPMA, IUF)

TL;DR
This paper provides a new scaling-based proof of the extended arc-sine law for Walsh's Brownian motion, generalizing previous methods from one-dimensional Brownian motion to multivariate cases and discussing related skew Bessel processes.
Contribution
It introduces a novel proof technique for the extended arc-sine law applicable to Walsh's Brownian motion, extending prior results to multivariate settings.
Findings
Proof of the extended arc-sine law for Walsh's Brownian motion
Generalization of scaling arguments to multivariate processes
Discussion on time spent positive by skew Bessel processes
Abstract
We present a new proof of the extended arc-sine law related to Walsh's Brownian motion, known also as Brownian spider. The main argument mimics the scaling property used previously, in particular by D. Williams in the 1-dimensional Brownian case, which can be generalized to the multivariate case. A discussion concerning the time spent positive by a skew Bessel process is also presented.
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Taxonomy
TopicsRandom Matrices and Applications · Stochastic processes and financial applications · Complex Systems and Time Series Analysis
