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Conditional Log-Laplace Functionals of Immigration Superprocesses with Dependent Spatial Motion

Conditional Log-Laplace Functionals of Immigration Superprocesses with Dependent Spatial Motion A non-critical branching immigration superprocess with dependent spatial motion is constructed and characterized as the solution of a stochastic equation driven by a time-space white noise and an orthogonal martingale measure. A representation of its conditional log-Laplace functionals is established, which gives the uniqueness of the solution and hence its Markov property. Some properties of the superprocess including an ergodic theorem are also obtained. http://www.deepdyve.com/assets/images/DeepDyve-Logo-lg.png Acta Applicandae Mathematicae Springer Journals

Conditional Log-Laplace Functionals of Immigration Superprocesses with Dependent Spatial Motion

Acta Applicandae Mathematicae , Volume 88 (2) – Apr 29, 2005

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References (44)

Publisher
Springer Journals
Copyright
Copyright © 2005 by Springer
Subject
Mathematics; Mathematics, general; Computer Science, general; Theoretical, Mathematical and Computational Physics; Complex Systems; Classical Mechanics
ISSN
0167-8019
eISSN
1572-9036
DOI
10.1007/s10440-005-6696-3
Publisher site
See Article on Publisher Site

Abstract

A non-critical branching immigration superprocess with dependent spatial motion is constructed and characterized as the solution of a stochastic equation driven by a time-space white noise and an orthogonal martingale measure. A representation of its conditional log-Laplace functionals is established, which gives the uniqueness of the solution and hence its Markov property. Some properties of the superprocess including an ergodic theorem are also obtained.

Journal

Acta Applicandae MathematicaeSpringer Journals

Published: Apr 29, 2005

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