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Submartingale condition for weak convergence for semi-Markov processes
Vitaliy Golomoziy ORCID icon link to view author Vitaliy Golomoziy details  

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https://doi.org/10.15559/26-VMSTA293
Pub. online: 24 February 2026      Type: Research Article      Open accessOpen Access

Received
21 September 2025
Revised
27 December 2025
Accepted
10 February 2026
Published
24 February 2026

Abstract

In this paper, we consider a modified version of a well-known submartingale condition for the weak convergence of probability measures, adapted to the semi-Markov case. In this setting, it is convenient to work with an embedded Markov chain and the filtration generated by jump times. We demonstrate that a straightforward restatement of the classical result is not valid, and that an additional condition is required.

References

[1] 
Billingsley, P.: Convergence of Probability Measures. Second Edition. John Wiley and Sons, Inc., New York (1999) MR1700749. https://doi.org/10.1002/9780470316962
[2] 
Koroliuk, V., Limnios, N.: Stochastic Systems in Merging Phase Space. World Scientific Publishing Co. Pte. Ltd., Singapore (2005) MR2205562. https://doi.org/10.1142/9789812703125
[3] 
Neveu, J.: Mathematical Foundations of the Calculus of Probability. Holden-Day (1965) MR0198505
[4] 
Strook, D., Varadhan, S.: Multidimensional Diffusion Processes. Springer, Berlin Heidelberg (2006) MR2190038

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© 2026 The Author(s). Published by VTeX
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Keywords
Weak convergence of probability measures semi-Markov processes submartingale condition for weak convergnce LaTeX

MSC2010
60B10 60K15

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