2014
DOI: 10.1016/j.spa.2013.09.010
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Backward stochastic differential equations driven byG-Brownian motion

Abstract: We design a class of numerical schemes for backward stochastic differential equation driven by G-Brownian motion (G-BSDE), which is related to a fully nonlinear PDE. Based on Peng's central limit theorem, we employ the CLT method to approximate G-distributed. Rigorous stability and convergence analysis are also carried out. It is shown that the θ-scheme admits a half order convergence rate in the general case. In particular, for the case of θ 1 ∈ [0, 1] and θ 2 = 0, the scheme can reach first-order in the dete… Show more

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Cited by 144 publications
(185 citation statements)
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References 28 publications
(42 reference statements)
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“…In particular, the uniqueness of K is impressive in the light of G-martingale estimates found in [39]. The results in [11] breaks new ground in the G-expectation theory. In the accompanying paper [12], Hu et al discussed fundamental properties of the above GBSDE: the comparison theorem, the fully nonlinear Feynman-Kac formula and the related Girsanov transformation.…”
Section: Introductionmentioning
confidence: 69%
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“…In particular, the uniqueness of K is impressive in the light of G-martingale estimates found in [39]. The results in [11] breaks new ground in the G-expectation theory. In the accompanying paper [12], Hu et al discussed fundamental properties of the above GBSDE: the comparison theorem, the fully nonlinear Feynman-Kac formula and the related Girsanov transformation.…”
Section: Introductionmentioning
confidence: 69%
“…We now compare the result of [11] with the profound works [37,38] by Soner et al, in which the so-called second order backward stochastic differential equations (2BSDEs) are deeply studied. This type of equation is highly related to the GBSDE and it is defined on the Wiener space as follows:…”
Section: Introductionmentioning
confidence: 93%
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