White-noise fluctuation theorem for Langevin dynamics

Fluctuation theorems based on time-reversal have provided remarkable insight into the non-equilibrium statistics of thermodynamic quantities like heat, work, and entropy production. These types laws impose constraints distributions certain trajectory functionals that reflect underlying dynamical symmetries. In this we introduce a detailed fluctuation theorem for Langevin dynamics follows from Gaussian white noise rather than time-reversal. The theorem, which originates point-wise symmetry in phase space, holds individually each degree freedom coupled to additive or multiplicative noise. relation is independent space distribution generated by can be used derive versatile parameter inference algorithm applicable wide range systems, including non-conservative non-Markovian ones.