Abstract
We consider a branching random walk on \({\mathbb {R}}\) with a stationary and ergodic environment \(\xi =(\xi _n)\) indexed by time \(n\in {\mathbb {N}}\). Let \(Z_n\) be the counting measure of particles of generation n and \(\tilde{Z}_n(t)=\int \mathrm{e}^{tx}Z_n(\mathrm{d}x)\) be its Laplace transform. We show the \(L^p\) convergence rate and the uniform convergence of the martingale \(\tilde{Z}_n(t)/{\mathbb {E}}[\tilde{Z}_n(t)|\xi ]\), and establish a moderate deviation principle for the measures \(Z_n\).
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Acknowledgments
The authors would like to thank the anonymous referees for valuable comments and remarks. This work has been partially supported by the National Natural Science Foundation of China (No. 11501146), and by the Shandong Provincial Natural Science Foundation of China (Nos. ZR2015PA003 and ZR2015AM017).
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Wang, X., Huang, C. Convergence of Martingale and Moderate Deviations for a Branching Random Walk with a Random Environment in Time . J Theor Probab 30, 961–995 (2017). https://doi.org/10.1007/s10959-016-0668-6
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DOI: https://doi.org/10.1007/s10959-016-0668-6
Keywords
- Branching random walk
- Random environment
- Moment
- \(L^p\) convergence
- Convergence rate
- Uniform convergence
- Moderate deviation