Sticky Brownian motions on star graphs

被引:1
|
作者
Bonaccorsi, Stefano [1 ]
D'Ovidio, Mirko [2 ]
机构
[1] Univ Trento, Dept Math, Via Sommar 14, I-38123 Trento, Italy
[2] Sapienza Univ Rome, Dept Basic & Appl Sci Engn, Via Antonio Scarpa 14, I-00161 Rome, Italy
关键词
Brownian motion on graphs (primary); Dynamic boundary conditions; Non-local operators; Fractional differential equations; DIFFUSION-PROCESSES; EQUATIONS;
D O I
10.1007/s13540-024-00336-7
中图分类号
O29 [应用数学];
学科分类号
070104 ;
摘要
This paper is concerned with the construction of Brownian motions and related stochastic processes in a star graph, which is a non-Euclidean structure where some features of the classical modeling fail. We propose a probabilistic construction of the Sticky Brownian motion by slowing down the Brownian motion when in the vertex of the star graph. Later, we apply a random change of time to the previous construction, which leads to a trapping phenomenon in the vertex of the star graph, with characterization of the trap in terms of a singular measure Phi\documentclass[12pt]{minimal} \usepackage{amsmath} \usepackage{wasysym} \usepackage{amsfonts} \usepackage{amssymb} \usepackage{amsbsy} \usepackage{mathrsfs} \usepackage{upgreek} \setlength{\oddsidemargin}{-69pt} \begin{document}$$\varPhi $$\end{document}. The process associated to this time change is described here and, moreover, we show that it defines a probabilistic representation of the solution to a heat equation type problem on the star graph with non-local dynamic conditions in the vertex that can be written in terms of a Caputo-D & zcaron;rba & scaron;jan fractional derivative defined by the singular measure Phi\documentclass[12pt]{minimal} \usepackage{amsmath} \usepackage{wasysym} \usepackage{amsfonts} \usepackage{amssymb} \usepackage{amsbsy} \usepackage{mathrsfs} \usepackage{upgreek} \setlength{\oddsidemargin}{-69pt} \begin{document}$$\varPhi $$\end{document}. Extensions to general graph structures can be given by applying to our results a localisation technique.
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页码:2859 / 2891
页数:33
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