Strong Markov local Dirichlet processes and stochastic differential equations

This paper states the necessary and sufficient conditions on the natural scale and the measure of convergence of the continuous strong Markov local Dirichlet process in order that the process has a representation in the form of a solution of some stochastic differential equation. The results are applied to the case of the Bessel process of arbitrary dimension.