Ma, Jin; Protter, Philip; San Martin, Jaime Anticipating integrals for a class of martingales. (English) Zbl 0897.60058 Bernoulli 4, No. 1, 81-114 (1998). Let \(M=(M_t)\) be a martingale with \(\langle M,M \rangle_t =t\), \(t\geq 0\), which possesses the additional property of chaos representation. For such a martingale \(M\) the authors define an anticipating integral by the method of chaos expansion of the possibly nonadapted integrand. This approach made in the spirit of the work by D. Nualart and E. Pardoux [Probab. Theory Relat. Fields 78, No. 4, 535-581 (1988; Zbl 0629.60061)] generalizes the notion of the Skorokhod integral (which is defined with respect to a Wiener process \(W)\). So it is not very surprising that there are a lot of similarities between this martingale anticipating integral and the Skorokhod integral. But there are also quite new effects which come from the fact that for the Wiener case \([W,W]_t=\langle W,W\rangle_t=t\), while in the general case only \(\langle M,M \rangle_t =t\), and \([M,M]_t\) can be random. In particular and besides other subtle differences, this leads to different Malliavin derivatives which enter together with \([M,M]_t\) in the author’s integration by parts formula. The very interesting paper about this new martingale anticipating integral and its properties is completed by some preliminary results on associated linear stochastic differential equations with anticipation; the results are obtained by the method of chaos expansion. Reviewer: R.Buckdahn (Brest) Cited in 2 ReviewsCited in 10 Documents MSC: 60H05 Stochastic integrals 60G44 Martingales with continuous parameter Keywords:anticipating stochastic differential equation; anticipating stochastic integral; chaos decomposition; integration by parts formula; normal martingale; structure equation; Malliavin derivative Citations:Zbl 0629.60061 PDFBibTeX XMLCite \textit{J. Ma} et al., Bernoulli 4, No. 1, 81--114 (1998; Zbl 0897.60058) Full Text: DOI Euclid