Parametric reduced models for the nonlinear Schrödinger equation

Research output: Contribution to journalArticle

4 Scopus citations

Abstract

Reduced models for the (defocusing) nonlinear Schrödinger equation are developed. In particular, we develop reduced models that only involve the low-frequency modes given noisy observations of these modes. The ansatz of the reduced parametric models are obtained by employing a rational approximation and a colored-noise approximation, respectively, on the memory terms and the random noise of a generalized Langevin equation that is derived from the standard Mori-Zwanzig formalism. The parameters in the resulting reduced models are inferred from noisy observations with a recently developed ensemble Kalman filter-based parametrization method. The forecasting skill across different temperature regimes are verified by comparing the moments up to order four, a two-time correlation function statistics, and marginal densities of the coarse-grained variables.

Original languageEnglish (US)
Article number053306
JournalPhysical Review E - Statistical, Nonlinear, and Soft Matter Physics
Volume91
Issue number5
DOIs
StatePublished - May 20 2015

All Science Journal Classification (ASJC) codes

  • Statistical and Nonlinear Physics
  • Statistics and Probability
  • Condensed Matter Physics

Fingerprint Dive into the research topics of 'Parametric reduced models for the nonlinear Schrödinger equation'. Together they form a unique fingerprint.

  • Cite this