Lodewijks, B. orcid.org/0000-0001-5624-2410 (2026) A star is born: Explosive Crump–Mode–Jagers branching processes. Journal of Applied Probability. ISSN: 0021-9002
Abstract
We study a family of Crump–Mode–Jagers branching processes in a random environment that explode, i.e. that grow infinitely large in finite time with positive probability. Building on recent work of Iyer and the author (‘On the structure of genealogical trees associated with explosive Crump–Mode–Jagers branching processes’, arXiv:2311.14664, 2023), we weaken certain assumptions required to prove that the branching process, at the time of explosion, contains a (unique) individual with infinite offspring. We then apply these results to super-linear preferential attachment models. In particular, we fill gaps in some of the cases analysed in Appendix A of the work of Iyer and the author and study a large range of previously unattainable cases.
Metadata
| Item Type: | Article |
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| Authors/Creators: |
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| Copyright, Publisher and Additional Information: | © The Author(s), 2026. Published by Cambridge University Press on behalf of Applied Probability Trust. This is an Open Access article, distributed under the terms of the Creative Commons Attribution licence (https://creativecommons.org/licenses/by/4.0/), which permits unrestricted re-use, distribution and reproduction, provided the original article is properly cited. |
| Keywords: | Explosive Crump–Mode–Jagers branching processes; super-linear preferential attachment; preferential attachment with fitness; random recursive trees; condensation |
| Dates: |
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| Institution: | The University of Sheffield |
| Academic Units: | The University of Sheffield > Faculty of Science (Sheffield) > School of Mathematical and Physical Sciences |
| Date Deposited: | 22 Jul 2026 15:22 |
| Last Modified: | 22 Jul 2026 15:22 |
| Status: | Published online |
| Publisher: | Cambridge University Press (CUP) |
| Refereed: | Yes |
| Identification Number: | 10.1017/jpr.2026.10078 |
| Related URLs: | |
| Open Archives Initiative ID (OAI ID): | oai:eprints.whiterose.ac.uk:243717 |
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