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Derivative martingale of the branching Brownian motion in dimension d ≥ 1

Abstract:
We consider a branching Brownian motion in R d . We prove that there exists a random subset Θ of S d−1 such that the limit of the derivative martingale exists simultaneously for all directions θ ∈ Θ almost surely. This allows us to define a random measure on S d−1 whose density is given by the derivative martingale. The proof is based on first moment arguments: we approximate the martingale of interest by a series of processes, which do not take into account particles that travelled too far away. We show that these new processes are uniformly integrable martingales whose limits can be made to converge to the limit of the original martingale.
Publication status:
Published
Peer review status:
Peer reviewed

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Files:
Publisher copy:
10.1214/20-AIHP1131

Authors


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Institution:
University of Oxford
Division:
MPLS
Department:
Statistics
Role:
Author
More by this author
Institution:
University of Oxford
Department:
STATISTICS
Sub department:
Statistics
Role:
Author
ORCID:
0000-0001-8783-4937


Publisher:
Institute of Mathematical Statistics
Journal:
Annales de l'Institut Henri Poincaré, Probabilités et Statistiques More from this journal
Volume:
57
Issue:
3
Pages:
1786-1810
Publication date:
2021-07-22
Acceptance date:
2020-11-17
DOI:
ISSN:
0246-0203


Language:
English
Keywords:
Pubs id:
1147985
Local pid:
pubs:1147985
Deposit date:
2020-12-07

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