Reduction and reconstruction of SDEs via Girsanov and quasi Doob symmetries

A reduction procedure for stochastic differential equations based on symmetries including Girsanov random transformations is proposed. In this setting, a new notion of reconstruction given, involving the expectation values functionals solution to SDE and theorem general proved. Moreover, notable case under closed subclass quasi Doob presented. The theoretical results are applied models relevant in applications.