Abstract
Recently Ren et al. [Stoch. Proc. Appl., 137 (2021)] have proved that the extremal process of the super-Brownian motion converges in distribution in the limit of large times. Their techniques rely heavily on the study of the convergence of solutions to the Kolmogorov-Petrovsky-Piscounov equation along the lines of [M. Bramson, Mem. Amer. Math. Soc., 44 (1983)]. In this paper we take a different approach. Our approach is based on the skeleton decomposition of super-Brownian motion. The skeleton may be interpreted as immortal particles that determine the large time behaviour of the process. We exploit this fact and carry asymptotic properties from the skeleton over to the super-Brownian motion. Some new results concerning the probabilistic representations of the limiting process are obtained, which cannot be directly obtained through the results of [Y.-X. Ren et al., Stoch. Proc. Appl., 137 (2021)]. Apart from the results, our approach offers insights into the driving force behind the limiting process for super-Brownian motions.
Funding Statement
The research of this project is supported by the National Key R&D Program of China (No. 2020YFA0712900). The research of Yan-Xia Ren is supported in part by NSFC (Grant Nos. 11731009, 12071011 and 12231002) and The Fundamental Research Funds for Central Universities, Peking University LMEQF. The research of Ting Yang is supported by NSFC (Grant Nos. 12271374 and 12371143). The research of Rui Zhang is supported by NSFC (Grant Nos. 11601354 and 12271374), Beijing Municipal Natural Science Foundation (Grant No. 1202004), and Academy for Multidisciplinary Studies, Capital Normal University.
Acknowledgments
The authors sincerely thank the anonymous reviewer for the valuable comments and suggestions that have led to the present improved version of the original manuscript.
Citation
Yan-Xia Ren. Ting Yang. Rui Zhang. "The extremal process of super-Brownian motion: A probabilistic approach via skeletons." Electron. J. Probab. 29 1 - 41, 2024. https://doi.org/10.1214/24-EJP1084
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