Transition pathways for a class of degenerate stochastic dynamical systems with Lévy noise

This work is devoted to deriving the Onsager–Machlup function for a class of degenerate stochastic dynamical systems with (non-Gaussian) Lévy noise as well as Brownian noise. This is obtained based on the Girsanov transformation and then by a path representation. Moreover, this Onsager–Machlup function may be regarded as a Lagrangian giving the most probable transition pathways. The Hamilton–Pontryagin principle is essential to handle such a variational problem in degenerate case. Finally, a kinetic Langevin system in which noise is degenerate is specifically investigated analytically and numerically.