Abstract

We show that any Rd∖{0}Rd∖{0}-valued self-similar Markov process XX, with index α>0α>0 can be represented as a path transformation of some Markov additive process (MAP) (θ,ξ)(θ,ξ) in Sd−1×RSd−1×R. This result extends the well known Lamperti transformation. Let us denote by XˆX^ the self-similar Markov process which is obtained from the MAP (θ,−ξ)(θ,−ξ) through this extended Lamperti transformation. Then we prove that XˆX^ is in weak duality with XX, with respect to the measure π(x/∥x∥)∥x∥α−ddxπ(x/‖x‖)‖x‖α−ddx, if and only if (θ,ξ)(θ,ξ) is reversible with respect to the measure π(ds)dxπ(ds)dx, where π(ds)π(ds) is some σσ-finite measure on Sd−1Sd−1 and dxdx is the Lebesgue measure on RR. Moreover, the dual process XˆX^ has the same law as the inversion (Xγt/∥Xγt∥2,t≥0)(Xγt/‖Xγt‖2,t≥0) of XX, where γtγt is the inverse of t↦∫t0∥X∥−2αsdst↦∫0t‖X‖s−2αds. These results allow us to obtain excessive functions for some classes of self-similar Markov processes such as stable Levy processes.

Highlights

  • There exist many ways to construct the three dimensional Bessel process from Brownian motion

  • We show that a necessary and sufficient condition for this to hold is that the underlying Markov additive process in the Lamperti representation satisfies a condition of reversibility

  • [20], who proved that all positive self-similar Markov processes can be obtained as exponentials of time changed Levy process

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Summary

Introduction

There exist many ways to construct the three dimensional Bessel process from Brownian motion. Our result implies Theorem 4.1 of Lamperti [20], who proved that all positive self-similar Markov processes can be obtained as exponentials of time changed Levy process. In this case, in order to describe the behaviour of {X, Px} at its lifetime, it suffices to note from general properties of. Let {X, Px} be an Rd-valued Markov process satisfying the scaling property (2.2) with α > 0, and assume that it has an infinite lifetime.This means in particular that {X, Px} can possibly hit 0 without being absorbed, like real Brownian motion for instance.

Inversion and duality of ssMp’s
Inversion and Doob h-transforms for ssMp’s
Conditioned Levy processes
Free d-dimensional Bessel processes
Dunkl processes
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