Abstract
Let \(\{X_t;t\ge 0\}\) be a Markov branching process with immigration, in which each particle has exponential lifetime distribution with parameter a and offspring law \(\{p_k;k=0,1,2,\ldots \}\). The time interval of immigration follows an exponential distribution with parameter \(\theta \). Let \(p_0=0\) and \(\lambda :=a(\sum _{k=1}^{\infty }kp_k-1)<\infty \). In this paper, we investigate the large deviation behavior of \(\left\{ X_{t+s}/X_t;t\ge 0,s>0\right\} \) by studying the asymptotic behavior of harmonic moments \(E[X_t^{-r}]\) for \(r>0\). We obtain that there is a “phase transition" in rates depending on whether \(\lambda r-a-\theta \) is less than, equal to or greater than 0.
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Acknowledgements
This work is substantially supported by the National Natural Science Foundations of China (No. 11771452, No. 11971486).
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Li, L., Li, J. Harmonic Moments and Large Deviations for the Markov Branching Process with Immigration. J Theor Probab (2023). https://doi.org/10.1007/s10959-023-01280-7
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DOI: https://doi.org/10.1007/s10959-023-01280-7