Infinitely ramified point measures and branching Lévy processes

Abstract

We call a random point measure infinitely ramified if for every $n\in \mathbb{N}$, it has the same distribution as the $n$-th generation of some branching random walk. On the other hand, branching Lévy processes model the evolution of a population in continuous time, such that individuals move in space independently, according to some Lévy process, and further beget progenies according to some Poissonian dynamics, possibly on an everywhere dense set of times. Our main result connects these two classes of processes much in the same way as in the case of infinitely divisible distributions and Lévy processes: the value at time $1$ of a branching Lévy process is an infinitely ramified point measure, and conversely, any infinitely ramified point measure can be obtained as the value at time $1$ of some branching Lévy process.

To appear in Annals of Probability

References in corpus (1)

• Discretization methods for homogeneous fragmentations

Cited by in corpus (6)

• Biggins' Martingale Convergence for Branching Lévy Processes
• Probability tilting of compensated fragmentations
• Right-Most Position of a Last Progeny Modified Branching Random Walk
• On the branching convolution equation $\mathcal{E}=\mathcal{Z}⊛\mathcal{E}$
• A growth-fragmentation model related to Ornstein-Uhlenbeck type processes
• A growth-fragmentation model connected to the ricocheted stable process