Differential Equations Driven by Rough Paths: An Approach via Discrete Approximation
Author(s) -
A. M. Davie
Publication year - 2008
Publication title -
applied mathematics research express
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.763
H-Index - 20
eISSN - 1687-1200
pISSN - 1687-1197
DOI - 10.1093/amrx/abm009
Subject(s) - stochastic differential equation , brownian motion , mathematics , differential equation , path (computing) , euler's formula , differential (mechanical device) , mathematical analysis , motion (physics) , computer science , classical mechanics , physics , statistics , thermodynamics , programming language
driving path x(t) is nondifferentiable, has recently been developed by Lyons. I develop an alternative approach to this theory, using (modified) Euler approximations, and investigate its applicability to stochastic differential equations driven by Brownian motion. I also give some other examples showing that the main results are reasonably sharp.
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