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Quasi-stationary distributions and Yaglom limits of self-similar Markov processes

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  • Haas, Bénédicte
  • Rivero, Víctor

Abstract

We discuss the existence and characterization of quasi-stationary distributions and Yaglom limits of self-similar Markov processes that reach 0 in finite time. By Yaglom limit, we mean the existence of a deterministic function g and a non-trivial probability measure ν such that the process rescaled by g and conditioned on non-extinction converges in distribution towards ν. We will see that a Yaglom limit exists if and only if the extinction time at 0 of the process is in the domain of attraction of an extreme law and we will then treat separately three cases, according to whether the extinction time is in the domain of attraction of a Gumbel, Weibull or Fréchet law. In each of these cases, necessary and sufficient conditions on the parameters of the underlying Lévy process are given for the extinction time to be in the required domain of attraction. The limit of the process conditioned to be positive is then characterized by a multiplicative equation which is connected to a factorization of the exponential distribution in the Gumbel case, a factorization of a Beta distribution in the Weibull case and a factorization of a Pareto distribution in the Fréchet case.

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  • Haas, Bénédicte & Rivero, Víctor, 2012. "Quasi-stationary distributions and Yaglom limits of self-similar Markov processes," Stochastic Processes and their Applications, Elsevier, vol. 122(12), pages 4054-4095.
    • Handle: RePEc:eee:spapps:v:122:y:2012:i:12:p:4054-4095
    DOI: 10.1016/j.spa.2012.08.006
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    References listed on IDEAS

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    1. Geluk, J. L., 1996. "On the domain of attraction of exp(-exp(-x))," Statistics & Probability Letters, Elsevier, vol. 31(2), pages 91-95, December.
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    Cited by:

    1. Castro, Matheus M. & Lamb, Jeroen S.W. & Olicón-Méndez, Guillermo & Rasmussen, Martin, 2024. "Existence and uniqueness of quasi-stationary and quasi-ergodic measures for absorbing Markov chains: A Banach lattice approach," Stochastic Processes and their Applications, Elsevier, vol. 173(C).
    2. Leżaj, Łukasz, 2024. "Non-symmetric stable processes: Dirichlet heat kernel, Martin kernel and Yaglom limit," Stochastic Processes and their Applications, Elsevier, vol. 174(C).
    3. Bertoin, Jean, 2019. "Ergodic aspects of some Ornstein–Uhlenbeck type processes related to Lévy processes," Stochastic Processes and their Applications, Elsevier, vol. 129(4), pages 1443-1454.
    4. Zbigniew Palmowski & Maria Vlasiou, 2020. "Speed of convergence to the quasi-stationary distribution for Lévy input fluid queues," Queueing Systems: Theory and Applications, Springer, vol. 96(1), pages 153-167, October.
    5. Arista, Jonas & Rivero, Víctor, 2023. "Implicit renewal theory for exponential functionals of Lévy processes," Stochastic Processes and their Applications, Elsevier, vol. 163(C), pages 262-287.
    6. Kyprianou, Andreas E. & Rivero, Victor & Şengül, Batı, 2017. "Conditioning subordinators embedded in Markov processes," Stochastic Processes and their Applications, Elsevier, vol. 127(4), pages 1234-1254.
    7. Czarna, Irmina & Palmowski, Zbigniew, 2017. "Parisian quasi-stationary distributions for asymmetric Lévy processes," Statistics & Probability Letters, Elsevier, vol. 127(C), pages 75-84.

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