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Stochastic Processes and their Applications
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Stochastic Processes and their Applications
Article . 2007
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Error expansion for the discretization of backward stochastic differential equations

Authors: Gobet, Emmanuel; Labart, Céline;

Error expansion for the discretization of backward stochastic differential equations

Abstract

We study the error induced by the time discretization of a decoupled forward-backward stochastic differential equations $(X,Y,Z)$. The forward component $X$ is the solution of a Brownian stochastic differential equation and is approximated by a Euler scheme $X^N$ with $N$ time steps. The backward component is approximated by a backward scheme. Firstly, we prove that the errors $(Y^N-Y,Z^N-Z)$ measured in the strong $L\_p$-sense ($p \geq 1$) are of order $N^{-1/2}$ (this generalizes the results by Zhang 2004). Secondly, an error expansion is derived: surprisingly, the first term is proportional to $X^N-X$ while residual terms are of order $N^{-1}$.

27 pages

Country
France
Related Organizations
Keywords

Statistics and Probability, Semi-linear parabolic PDE, discretization scheme, Stochastic calculus of variations and the Malliavin calculus, Applied Mathematics, Malliavin calculus, Probability (math.PR), backward stochastic differential equation, Central limit and other weak theorems, Error analysis and interval analysis, Discretization scheme, 510, Backward stochastic differential equation, Stochastic ordinary differential equations (aspects of stochastic analysis), [MATH.MATH-PR]Mathematics [math]/Probability [math.PR], 60H07, 60F05, 60H10, 65G99, semi-linear parabolic PDE, Modelling and Simulation, MSC 60H07 60F05 60H10 65G99, FOS: Mathematics, Mathematics - Probability

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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
64
Top 10%
Top 10%
Average
Green
hybrid