Dynamical indicators for the prediction of bursting phenomena in high-dimensional systems

Drawing upon the bursting mechanism in slow-fast systems, we propose indicators for the prediction of such rare extreme events which do not require a priori known slow and fast coordinates. The indicators are associated with functionals defined in terms of optimally time-dependent (OTD) modes. One s...

Full description

Bibliographic Details
Main Authors: Farazmand, Mohammad M, Sapsis, Themistoklis P.
Other Authors: Massachusetts Institute of Technology. Department of Mechanical Engineering
Format: Article
Language:English
Published: American Physical Society 2016
Online Access:http://hdl.handle.net/1721.1/105430
https://orcid.org/0000-0003-0302-0691
_version_ 1826205657704955904
author Farazmand, Mohammad M
Sapsis, Themistoklis P.
author2 Massachusetts Institute of Technology. Department of Mechanical Engineering
author_facet Massachusetts Institute of Technology. Department of Mechanical Engineering
Farazmand, Mohammad M
Sapsis, Themistoklis P.
author_sort Farazmand, Mohammad M
collection MIT
description Drawing upon the bursting mechanism in slow-fast systems, we propose indicators for the prediction of such rare extreme events which do not require a priori known slow and fast coordinates. The indicators are associated with functionals defined in terms of optimally time-dependent (OTD) modes. One such functional has the form of the largest eigenvalue of the symmetric part of the linearized dynamics reduced to these modes. In contrast to other choices of subspaces, the proposed modes are flow invariant and therefore a projection onto them is dynamically meaningful. We illustrate the application of these indicators on three examples: a prototype low-dimensional model, a body-forced turbulent fluid flow, and a unidirectional model of nonlinear water waves. We use Bayesian statistics to quantify the predictive power of the proposed indicators.
first_indexed 2024-09-23T13:16:33Z
format Article
id mit-1721.1/105430
institution Massachusetts Institute of Technology
language English
last_indexed 2024-09-23T13:16:33Z
publishDate 2016
publisher American Physical Society
record_format dspace
spelling mit-1721.1/1054302022-10-01T14:12:31Z Dynamical indicators for the prediction of bursting phenomena in high-dimensional systems Farazmand, Mohammad M Sapsis, Themistoklis P. Massachusetts Institute of Technology. Department of Mechanical Engineering Farazmand, Mohammad M Sapsis, Themistoklis P. Drawing upon the bursting mechanism in slow-fast systems, we propose indicators for the prediction of such rare extreme events which do not require a priori known slow and fast coordinates. The indicators are associated with functionals defined in terms of optimally time-dependent (OTD) modes. One such functional has the form of the largest eigenvalue of the symmetric part of the linearized dynamics reduced to these modes. In contrast to other choices of subspaces, the proposed modes are flow invariant and therefore a projection onto them is dynamically meaningful. We illustrate the application of these indicators on three examples: a prototype low-dimensional model, a body-forced turbulent fluid flow, and a unidirectional model of nonlinear water waves. We use Bayesian statistics to quantify the predictive power of the proposed indicators. 2016-11-22T20:15:13Z 2016-11-22T20:15:13Z 2016-09 2016-07 2016-09-14T22:00:18Z Article http://purl.org/eprint/type/JournalArticle 2470-0045 2470-0053 http://hdl.handle.net/1721.1/105430 Farazmand, Mohammad, and Themistoklis P. Sapsis. “Dynamical Indicators for the Prediction of Bursting Phenomena in High-Dimensional Systems.” Physical Review E 94.3 (2016): n. pag. © 2016 American Physical Society https://orcid.org/0000-0003-0302-0691 en http://dx.doi.org/10.1103/PhysRevE.94.032212 Physical Review E Article is made available in accordance with the publisher's policy and may be subject to US copyright law. Please refer to the publisher's site for terms of use. American Physical Society application/pdf American Physical Society American Physical Society
spellingShingle Farazmand, Mohammad M
Sapsis, Themistoklis P.
Dynamical indicators for the prediction of bursting phenomena in high-dimensional systems
title Dynamical indicators for the prediction of bursting phenomena in high-dimensional systems
title_full Dynamical indicators for the prediction of bursting phenomena in high-dimensional systems
title_fullStr Dynamical indicators for the prediction of bursting phenomena in high-dimensional systems
title_full_unstemmed Dynamical indicators for the prediction of bursting phenomena in high-dimensional systems
title_short Dynamical indicators for the prediction of bursting phenomena in high-dimensional systems
title_sort dynamical indicators for the prediction of bursting phenomena in high dimensional systems
url http://hdl.handle.net/1721.1/105430
https://orcid.org/0000-0003-0302-0691
work_keys_str_mv AT farazmandmohammadm dynamicalindicatorsforthepredictionofburstingphenomenainhighdimensionalsystems
AT sapsisthemistoklisp dynamicalindicatorsforthepredictionofburstingphenomenainhighdimensionalsystems