In this paper, we obtain a comparison theorem and a invariant representation theorem for backward stochastic differential equations (BSDEs) without any assumption on the second variable . Using the two results, we further develop the theory of -expectations. Filtration-consistent nonlinear expectation (-expectation) provides an ideal characterization for the dynamical risk measures, asset pricing and utilities. We propose two new conditions: an absolutely continuous condition and a (locally Lipschitz) domination condition. Under the two conditions respectively, we prove that any -expectation can be represented as a -expectation. Our results contain a representation theorem for -dimensional -expectations in the Lipschitz case, and two representation theorems for -dimensional -expectations in the locally Lipschitz case, which contain quadratic -expectations.

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