L\'evy processes conditioned on having a large height process
Mathieu Richard

TL;DR
This paper introduces a new way to condition spectrally positive Lévy processes to reach large heights before hitting zero, using a Doob h-transform, and explores their path decompositions and convergence properties.
Contribution
It develops a novel conditioning method for Lévy processes based on height processes, including explicit martingales and path decompositions, extending previous work on splitting trees and spine decompositions.
Findings
Defined a new conditioned law via Doob h-transform.
Established path decomposition at the process minimum.
Proved convergence of the conditioned process as initial height tends to zero.
Abstract
In the present work, we consider spectrally positive L\'evy processes not drifting to and we are interested in conditioning these processes to reach arbitrarily large heights (in the sense of the height process associated with ) before hitting 0. This way we obtain a new conditioning of L\'evy processes to stay positive. The (honest) law of this conditioned process is defined as a Doob -transform via a martingale. For L\'evy processes with infinite variation paths, this martingale is for some and where is the past infimum process of , where is the so-called \emph{exploration process} defined in Duquesne, 2002, and where is the hitting time of 0 for . Under , we also obtain a path decomposition of at its minimum, which…
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Taxonomy
TopicsStochastic processes and statistical mechanics · Markov Chains and Monte Carlo Methods · Random Matrices and Applications
