Localization of compact invariant sets of the Lorenz’ 1984 model

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

Abstract

In 1984 E. Lorenz published a paper [1] in which he proposed “the simplest possible general circulation model”: which is referred to as the Lorenz’1984 model. The existence of chaos was shown in [1, 2] for different values of parameters. Dynamical studies of this system were realized in papers [1, 2]; [3], [4]. This paper is devoted to study of a localization problem of compact invariant sets of the Lorenz’1984 model with help of one approach elaborated in papers of Krishchenko and Starkov, see e.g. [5]. This problem is an important topic in studies of dynamics of a chaotic system because of the interest to a long-time behavior of a system. In this work we establish that all compact invariant sets of the Lorenz’ 1984 model are contained in the set. Further, we improve this localization with help of refining bound η using additional localizations sets. By applying cylindrical coordinates to the Lorenz’ 1984 model we derive yet another localization set of the form. Finally, we discuss how to improve the final localization set and consider one example.

Original languageEnglish
Title of host publicationAdvances in Turbulence XII - Proceedings of the 12th EUROMECH European Turbulence Conference, 2009
EditorsBruno Eckhardt
PublisherSpringer Science and Business Media Deutschland GmbH
Pages915
Number of pages1
ISBN (Print)9783642030840
DOIs
StatePublished - 2009
Event12th EUROMECH European Turbulence Conference, ETC12 2009 - Marburg, Germany
Duration: 7 Sep 200910 Sep 2009

Publication series

NameSpringer Proceedings in Physics
Volume132
ISSN (Print)0930-8989
ISSN (Electronic)1867-4941

Conference

Conference12th EUROMECH European Turbulence Conference, ETC12 2009
Country/TerritoryGermany
CityMarburg
Period7/09/0910/09/09

Fingerprint

Dive into the research topics of 'Localization of compact invariant sets of the Lorenz’ 1984 model'. Together they form a unique fingerprint.

Cite this