Abstract
We study functional integral representations for the transition probability density of Markov processes defined by general nonlinear Langevin equations. We give a review of our work covering the definition through discretization, the relation to ordering problems in the operator formalism and the ambiguities of perturbation expansions. We also derive the functional integral representations directly from the stochastic differential equation without using an operator formalism.
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