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Sponsored by the Center for Science and Technology Development of the Ministry of Education
Supervised by Ministry of Education of the People's Republic of China
This paper proposes a notion of multidimensional g-expectations which provide a multidimensional version of nonlinear expectations. By a technical
result on explicit expressions for the comparison theorem of multidimensional backward stochastic differential equations, necessary and sufficient conditions are given for the constancy, monotonicity and positivity properties of multidimensional g-expectations;
we also prove that a multidimensional risk measure introduced by multidimensional g-expectation is concave if and only if the generator g satisfies a concave-like condition.