The Geometry of most probable trajectories in noise-driven dynamical systems

Published

Conference Paper

© Springer International Publishing AG, part of Springer Nature 2018. This paper presents a heuristic derivation of a geometric minimum action method that can be used to determine most-probable transition paths in noise-driven dynamical systems. Particular attention is focused on systems that violate detailed balance, and the role of the stochastic vorticity tensor is emphasized. The general method is explored through a detailed study of a two-dimensional quadratic shear flow which exhibits bifurcating most-probable transition pathways.

Full Text

Duke Authors

Cited Authors

  • Neu, JC; Ghanta, A; Teitsworth, SW

Published Date

  • January 1, 2018

Published In

Volume / Issue

  • 232 /

Start / End Page

  • 153 - 167

Electronic International Standard Serial Number (EISSN)

  • 2194-1017

International Standard Serial Number (ISSN)

  • 2194-1009

International Standard Book Number 13 (ISBN-13)

  • 9783319765983

Digital Object Identifier (DOI)

  • 10.1007/978-3-319-76599-0_9

Citation Source

  • Scopus