Multidimensional Markovian BSDEs with Jumps and Continuous Generators

نویسندگان

چکیده

We deal with a multidimensional Markovian backward stochastic differential equation driven by Poisson random measure and independent Brownian motion (BSDEJ for short). As first result, we prove, under the Lipschitz condition, that BSDEJ’s adapted solution can be represented in terms of given Markov process some deterministic functions. Then, means this representation, show existence results such equations assuming their generators are totally or partially continuous respect to variables satisfy usual linear growth conditions. The ideas proofs approximate generator suitable sequence functions via convolutions mollifiers make use L2–domination on law underlying process, which several examples given.

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ژورنال

عنوان ژورنال: Axioms

سال: 2022

ISSN: ['2075-1680']

DOI: https://doi.org/10.3390/axioms12010026