摘要

In this paper we study the existence of a unique solution for linear stochastic differential equations driven by a Levy process, where the initial condition and the coefficients are random and not necessarily adapted to the underlying filtration. Towards this end, we extend the method based on Girsanov transformations on Wiener space and developped by Buckdahn [8] to the canonical Levy space, which is introduced in [26].

  • 出版日期2012-10-5

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