Trajectory entropy of continuous stochastic processes at equilibrium

Kevin R. Haas, Haw Yang*, Jhih-Wei Chu

*Corresponding author for this work

Research output: Contribution to journalArticle

9 Scopus citations


We propose to quantify the trajectory entropy of a dynamic system as the information content in excess of a free-diffusion reference model. The space-time trajectory is now the dynamic variable, and its path probability is given by the Onsager-Machlup action. For the time propagation of the overdamped Langevin equation, we solved the action path integral in the continuum limit and arrived at an exact analytical expression that emerged as a simple functional of the deterministic mean force and the stochastic diffusion. This work may have direct implications in chemical and phase equilibria, bond isomerization, and conformational changes in biological macromolecules as well transport problems in general.

Original languageEnglish
Pages (from-to)999-1003
Number of pages5
JournalJournal of Physical Chemistry Letters
Issue number6
StatePublished - 20 Mar 2014


  • overdamped Langevin dynamics
  • trajectory entropy
  • trajectory path integral

Fingerprint Dive into the research topics of 'Trajectory entropy of continuous stochastic processes at equilibrium'. Together they form a unique fingerprint.

Cite this