Long Time Behavior of General Markov Additive Processes

We study general Markov additive processes when the state space of the modulator is a Polish space.Under some regularity assumptions, our main result is the characterization of the long-time behavior of the ordinate in terms of the associated ladder time process and the excursion measure.An important application of Markov additive processes is the Lamperti-Kiu transform, which gives a correspondence between R d \{0}-valued self-similar Markov processes and S d-1 Rvalued Markov additive processes.The asymptotic behavior of the radial distance from the origin of a self-similar Markov process can be characterized by the long-time behavior of the ordinate of the corresponding Markov additive process.We show the applicability of our assumptions on some well-known self-similar Markov processes.

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Publication Details

Journal
Latin American Journal of Probability and Mathematical Statistics
Published
2025-01-01
DOI
https://doi.org/10.30757/alea.v22-39
Citations
1
Primary Topic
Markov Chains and Monte Carlo Methods
Type
article
Field-Weighted Citation Impact
2.63

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article

Long Time Behavior of General Markov Additive Processes

Mine Çağlar, Celal Umut Yaran
1 citations
Latin American Journal of Probability and Mathematical Statistics
Markov Chains and Monte Carlo Methods
2.63
article

Long Time Behavior of General Markov Additive Processes

Mine Çağlar, Celal Umut Yaran
article en
1 citations

Abstract

We study general Markov additive processes when the state space of the modulator is a Polish space.Under some regularity assumptions, our main result is the characterization of the long-time behavior of the ordinate in terms of the associated ladder time process and the excursion measure.An important application of Markov additive processes is the Lamperti-Kiu transform, which gives a correspondence between R d \{0}-valued self-similar Markov processes and S d-1 Rvalued Markov additive processes.The asymptotic behavior of the radial distance from the origin of a self-similar Markov process can be characterized by the long-time behavior of the ordinate of the corresponding Markov additive process.We show the applicability of our assumptions on some well-known self-similar Markov processes.

Latin American Journal of Probability and Mathematical StatisticsVol. 22(2)
Türkiye Bilimsel ve Teknolojik Araştırma Kurumu
Openalex Percentile: Top 9%
Markov Chains and Monte Carlo Methods
2.63
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