Spatial growth-fragmentations and excursions from hyperplanes

In this paper, we are interested in the self-similar growth-fragmentation process that shows up when slicing half-space excursions of a d -dimensional Brownian motion from hyperplanes. Such a family of processes turns out to be a collection of spatial self-similar growth-fragmentation processes driven by an isotropic self-similar Markov process. The former can be seen as multitype growth-fragmentation processes, in the sense of Da Silva and Pardo (2024), where the set of types is S d − 2 , the ( d − 1 ) –dimensional unit sphere. In order to characterise such family of processes, we study their spinal description similarly as in the monotype (Bertoin, 2017) and multitype (Da Silva and Pardo, 2024) settings. Finally, we extend our study to the case when the d -dimensional Brownian motion is replaced by an isotropic Markov process whose first ( d − 1 ) coordinates are driven by an isotropic stable Lévy process and the remaining coordinate is an independent standard real-valued Brownian motion.

Authors

Institutions

Publication Details

Journal
Stochastic Processes and their Applications
Published
2024-12-06
DOI
https://doi.org/10.1016/j.spa.2024.104551
Primary Topic
3D Modeling in Geospatial Applications
Type
article
Field-Weighted Citation Impact
0.00

Funders

Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Spatial growth-fragmentations and excursions from hyperplanes

William Da Silva, Juan Carlos Pardo
Stochastic Processes and their Applications
3D Modeling in Geospatial Applications
article

Spatial growth-fragmentations and excursions from hyperplanes

William Da Silva, Juan Carlos Pardo
article en

Abstract

In this paper, we are interested in the self-similar growth-fragmentation process that shows up when slicing half-space excursions of a d -dimensional Brownian motion from hyperplanes. Such a family of processes turns out to be a collection of spatial self-similar growth-fragmentation processes driven by an isotropic self-similar Markov process. The former can be seen as multitype growth-fragmentation processes, in the sense of Da Silva and Pardo (2024), where the set of types is S d − 2 , the ( d − 1 ) –dimensional unit sphere. In order to characterise such family of processes, we study their spinal description similarly as in the monotype (Bertoin, 2017) and multitype (Da Silva and Pardo, 2024) settings. Finally, we extend our study to the case when the d -dimensional Brownian motion is replaced by an isotropic Markov process whose first ( d − 1 ) coordinates are driven by an isotropic stable Lévy process and the remaining coordinate is an independent standard real-valued Brownian motion.

Stochastic Processes and their ApplicationsVol. 181
Mathematics Research Center (MX), University of Vienna (AT)
Austrian Science Fund, Consejo Nacional de Ciencia y Tecnología
Openalex Percentile: Top 76%
3D Modeling in Geospatial Applications
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.