scholarly journals Limit theorems for stochastic difference-differential equations

1992 ◽  
Vol 127 ◽  
pp. 83-116 ◽  
Author(s):  
Tsukasa Fujiwara ◽  
Hiroshi Kunita

There are extensive works on the limit theorems for sequences of stochastic ordinary differential equations written in the form:where is a stochastic process and is a deterministic function, both of which take values in the space of vector fields. The case where {ftn} n satisfies certain mixing conditions has been studied by Khas’minskii [7], Kesten-Papanicolaou [6] and others.

Author(s):  
Peter E Kloeden ◽  
Arnulf Jentzen

Random ordinary differential equations (RODEs) are ordinary differential equations (ODEs) with a stochastic process in their vector field. They can be analysed pathwise using deterministic calculus, but since the driving stochastic process is usually only Hölder continuous in time, the vector field is not differentiable in the time variable, so traditional numerical schemes for ODEs do not achieve their usual order of convergence when applied to RODEs. Nevertheless deterministic calculus can still be used to derive higher order numerical schemes for RODEs via integral versions of implicit Taylor-like expansions. The theory is developed systematically here and applied to illustrative examples involving Brownian motion and fractional Brownian motion as the driving processes.


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