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Approximation methods for hybrid diffusion systems with state-dependent switching processes : numerical algorithms and existence and uniqueness of solutions

Yin, G. and Mao, X. and Yuan, C. and Cao, D. (2010) Approximation methods for hybrid diffusion systems with state-dependent switching processes : numerical algorithms and existence and uniqueness of solutions. SIAM Journal on Mathematical Analysis, 41 (6). pp. 2335-2352. ISSN 0036-1410

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Abstract

By focusing on hybrid diffusions in which continuous dynamics and discrete events coexist, this work is concerned with approximation of solutions for hybrid stochastic differential equations with a state-dependent switching process. Iterative algorithms are developed. The continuous-state dependent switching process presents added difficulties in analyzing the numerical procedures. Weak convergence of the algorithms is established by a martingale problem formulation first. This weak convergence result is then used as a bridge to obtain strong convergence. In this process, the existence and uniqueness of the solution of the switching diffusions with continuous-state-dependent switching are obtained. Different from the existing results of solutions of stochastic differential equations in which the Picard iterations are utilized, Euler's numerical schemes are considered here. Moreover, decreasing stepsize algorithms together with their weak convergence are given. Numerical experiments are also provided for demonstration.

Item type: Article
ID code: 16873
Keywords: switching diffusion, numerical algorithm, convergence, strong solution, differential equations, Mathematics, Computational Mathematics, Analysis, Applied Mathematics
Subjects: Science > Mathematics
Department: Faculty of Science > Mathematics and Statistics
Faculty of Engineering > Electronic and Electrical Engineering
Depositing user: Mrs Carolynne Westwood
Date Deposited: 24 Mar 2010 14:55
Last modified: 15 Apr 2015 12:40
URI: http://strathprints.strath.ac.uk/id/eprint/16873

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