驱动分支过程的连续流及其非线性演化方程

IF 3.2 1区 数学 Q1 MATHEMATICS
L. Beznea, Cătălin Vrabie
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引用次数: 2

摘要

摘要我们对M的思考(ℝd) (上所有有限测度的集合ℝd) 与非线性算子F相关的演化方程↦ΔF′+∑k⩾1bkFk F\mapsto\Delta F′+\sum\nolimits_{k\geqslant1}b_kF^k,其中F′是F的变分导数,我们证明了它具有一个由d维布朗运动的分布和M的有限配置上的非局部分支过程表示的解(ℝd) ,由正数序列(bk)k⩾1诱导,使得∑k \10878;1bk⩽1\sum\nolimits_{k\geqslant1}b_k\leqslant1。事实证明,对于用马尔可夫过程的生成器代替拉普拉斯算子获得的方程的解,该表示也适用于相同的分支过程ℝd代替d维布朗运动;更一般地,我们可以取Lusin拓扑空间上的右马尔可夫过程的生成器。我们首先研究驱动分支过程的连续流。我们证明了如果超过程的分支机制与空间变量无关,那么通过在测度上引入右连续流的时间演化中的分支来获得超过程,典型地由右连续流诱导为空间运动。对于空间运动的状态空间的所有有限配置的集合上的非局部分支过程,相应的结果成立。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Continuous flows driving branching processes and their nonlinear evolution equations
Abstract We consider on M(ℝd) (the set of all finite measures on ℝd) the evolution equation associated with the nonlinear operator F↦ΔF′+∑k⩾1bkFk F \mapsto \Delta F' + \sum\nolimits_{k \geqslant 1} b_k F^k , where F′ is the variational derivative of F and we show that it has a solution represented by means of the distribution of the d-dimensional Brownian motion and the non-local branching process on the finite configurations of M(ℝd), induced by the sequence (bk)k⩾1 of positive numbers such that ∑k⩾1bk⩽1 \sum\nolimits_{k \geqslant 1} b_k \leqslant 1 . It turns out that the representation also holds with the same branching process for the solution to the equation obtained replacing the Laplace operator by the generator of a Markov process on ℝd instead of the d-dimensional Brownian motion; more general, we can take the generator of a right Markov process on a Lusin topological space. We first investigate continuous flows driving branching processes. We show that if the branching mechanism of a superprocess is independent of the spatial variable, then the superprocess is obtained by introducing the branching in the time evolution of the right continuous flow on measures, canonically induced by a right continuous flow as spatial motion. A corresponding result holds for non-local branching processes on the set of all finite configurations of the state space of the spatial motion.
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来源期刊
Advances in Nonlinear Analysis
Advances in Nonlinear Analysis MATHEMATICS, APPLIED-MATHEMATICS
CiteScore
6.00
自引率
9.50%
发文量
60
审稿时长
30 weeks
期刊介绍: Advances in Nonlinear Analysis (ANONA) aims to publish selected research contributions devoted to nonlinear problems coming from different areas, with particular reference to those introducing new techniques capable of solving a wide range of problems. The Journal focuses on papers that address significant problems in pure and applied nonlinear analysis. ANONA seeks to present the most significant advances in this field to a wide readership, including researchers and graduate students in mathematics, physics, and engineering.
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