Search results for "Lorenz system"

showing 10 items of 11 documents

On differences and similarities in the analysis of Lorenz, Chen, and Lu systems

2015

Currently it is being actively discussed the question of the equivalence of various Lorenzlike systems and the possibility of universal consideration of their behavior (Algaba et al., 2013a,b, 2014b,c; Chen, 2013; Chen and Yang, 2013; Leonov, 2013a), in view of the possibility of reduction of such systems to the same form with the help of various transformations. In the present paper the differences and similarities in the analysis of the Lorenz, the Chen and the Lu systems are discussed. It is shown that the Chen and the Lu systems stimulate the development of new methods for the analysis of chaotic systems. Open problems are discussed. peerReviewed

Chen systemLorenz systemLorenz-like systemsLu systemLyapunov exponentChaotic analog of 16th Hilbert problem
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Approximating hidden chaotic attractors via parameter switching.

2018

In this paper, the problem of approximating hidden chaotic attractors of a general class of nonlinear systems is investigated. The parameter switching (PS) algorithm is utilized, which switches the control parameter within a given set of values with the initial value problem numerically solved. The PS-generated attractor approximates the attractor obtained by averaging the control parameter with the switched values, which represents the hidden chaotic attractor. The hidden chaotic attractors of a generalized Lorenz system and the Rabinovich-Fabrikant system are simulated for illustration. In Refs. 1–3, it is proved that the attractors of a chaotic system, considered as the unique numerical …

Class (set theory)Mathematics::Dynamical SystemsChaoticGeneral Physics and AstronomyFOS: Physical sciences01 natural sciences010305 fluids & plasmasSet (abstract data type)phase space methods0103 physical sciencesAttractorApplied mathematicsInitial value problemdifferentiaalilaskenta010301 acousticsMathematical PhysicsMathematicsApplied Mathematicsta111numerical approximationsStatistical and Nonlinear Physicschaotic systemsLorenz systemchaoticNonlinear Sciences - Chaotic DynamicsNonlinear Sciences::Chaotic DynamicsNonlinear systemkaaosnumeerinen analyysinonlinear systemsChaotic Dynamics (nlin.CD)Chaos (Woodbury, N.Y.)
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Hidden attractors on one path : Glukhovsky-Dolzhansky, Lorenz, and Rabinovich systems

2017

In this report, by the numerical continuation method we visualize and connect hidden chaotic sets in the Glukhovsky-Dolzhansky, Lorenz and Rabinovich systems using a certain path in the parameter space of a Lorenz-like system.

Computer sciencechaosChaoticFOS: Physical sciencesPhysics::Data Analysis; Statistics and ProbabilityParameter space01 natural sciences010305 fluids & plasmasRabinovich systemLorenz system0103 physical sciencesAttractorGlukhovsky–Dolzhansky systemApplied mathematics010301 acousticsEngineering (miscellaneous)kaaosteoriaApplied Mathematicsta111Lorenz-like systemNonlinear Sciences - Chaotic DynamicsNonlinear Sciences::Chaotic DynamicsNumerical continuationModeling and SimulationPath (graph theory)numeerinen analyysiChaotic Dynamics (nlin.CD)hidden attractorInternational Journal of Bifurcation and Chaos
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On differences and similarities in the analysis of Lorenz, Chen, and Lu systems

2015

Currently it is being actively discussed the question of the equivalence of various Lorenz-like systems and the possibility of universal consideration of their behavior (Algaba et al., 2013a,b, 2014b,c; Chen, 2013; Chen and Yang, 2013; Leonov, 2013a), in view of the possibility of reduction of such systems to the same form with the help of various transformations. In the present paper the differences and similarities in the analysis of the Lorenz, the Chen and the Lu systems are discussed. It is shown that the Chen and the Lu systems stimulate the development of new methods for the analysis of chaotic systems. Open problems are discussed.

FOS: Physical sciencesLyapunov exponentLorenz-like systemsLu systemChaotic analog of 16th Hilbert problemReduction (complexity)symbols.namesakeChenDevelopment (topology)Lorenz systemChaotic systemsCalculusApplied mathematicsEquivalence (measure theory)MathematicsbiologyApplied Mathematicsta111Lorenz systembiology.organism_classificationNonlinear Sciences - Chaotic DynamicsComputational MathematicsChen systemsymbolsChaotic Dynamics (nlin.CD)Lyapunov exponentApplied Mathematics and Computation
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The Lyapunov dimension formula for the global attractor of the Lorenz system

2015

The exact Lyapunov dimension formula for the Lorenz system has been analytically obtained first due to G.A.Leonov in 2002 under certain restrictions on parameters, permitting classical values. He used the construction technique of special Lyapunov-type functions developed by him in 1991 year. Later it was shown that the consideration of larger class of Lyapunov-type functions permits proving the validity of this formula for all parameters of the system such that all the equilibria of the system are hyperbolically unstable. In the present work it is proved the validity of the formula for Lyapunov dimension for a wider variety of parameters values, which include all parameters satisfying the …

Lyapunov functionClass (set theory)Mathematics::Dynamical SystemsKaplan-Yorke dimensionFOS: Physical sciencesLyapunov exponentDynamical Systems (math.DS)01 natural sciencesMeasure (mathematics)010305 fluids & plasmassymbols.namesakeDimension (vector space)Lorenz system0103 physical sciencesAttractorFOS: MathematicsMathematics - Dynamical Systems010301 acousticsMathematicsNumerical AnalysisApplied MathematicsMathematical analysista111Lyapunov exponentsLorenz systemNonlinear Sciences - Chaotic DynamicsNonlinear Sciences::Chaotic DynamicsModeling and SimulationsymbolsLyapunov dimensionself-excited Lorenz attractorVariety (universal algebra)Chaotic Dynamics (nlin.CD)
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Numerical analysis of dynamical systems: unstable periodic orbits, hidden transient chaotic sets, hidden attractors, and finite-time Lyapunov dimensi…

2018

In this article, on the example of the known low-order dynamical models, namely Lorenz, Rossler and Vallis systems, the difficulties of reliable numerical analysis of chaotic dynamical systems are discussed. For the Lorenz system, the problems of existence of hidden chaotic attractors and hidden transient chaotic sets and their numerical investigation are considered. The problems of the numerical characterization of a chaotic attractor by calculating finite-time time Lyapunov exponents and finite-time Lyapunov dimension along one trajectory are demonstrated using the example of computing unstable periodic orbits in the Rossler system. Using the example of the Vallis system describing the El…

Lyapunov functionHistoryMathematics::Dynamical SystemsDynamical systems theoryNumerical analysisChaoticFOS: Physical sciencesLyapunov exponentLorenz systemNonlinear Sciences - Chaotic DynamicsComputer Science ApplicationsEducationNonlinear Sciences::Chaotic Dynamicssymbols.namesakeAttractorsymbolsTrajectoryApplied mathematicsChaotic Dynamics (nlin.CD)Mathematics
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Hidden attractor and homoclinic orbit in Lorenz-like system describing convective fluid motion in rotating cavity

2015

Abstract In this paper a Lorenz-like system, describing convective fluid motion in rotating cavity, is considered. It is shown numerically that this system, like the classical Lorenz system, possesses a homoclinic trajectory and a chaotic self-excited attractor. However, for the considered system, unlike the classical Lorenz system, along with self-excited attractor a hidden attractor can be localized. Analytical-numerical localization of hidden attractor is demonstrated.

Mathematics::Dynamical SystemsChaoticLyapunov exponentsymbols.namesakeAttractorSelf-excited attractorHidden attractorHomoclinic orbitCoexistence of attractorsMultistabilityMathematicsHomoclinic orbitRössler attractorNumerical AnalysisApplied Mathematicsta111Mathematical analysisLorenz-like systemMultistabilityLorenz systemNonlinear Sciences::Chaotic DynamicsClassical mechanicsModeling and SimulationLyapunov dimensionsymbolsLyapunov exponentCrisisCommunications in Nonlinear Science and Numerical Simulation
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Lyapunov dimension formula for the global attractor of the Lorenz system

2016

The exact Lyapunov dimension formula for the Lorenz system for a positive measure set of parameters, including classical values, was analytically obtained first by G.A. Leonov in 2002. Leonov used the construction technique of special Lyapunov-type functions, which was developed by him in 1991 year. Later it was shown that the consideration of larger class of Lyapunov-type functions permits proving the validity of this formula for all parameters, of the system, such that all the equilibria of the system are hyperbolically unstable. In the present work it is proved the validity of the formula for Lyapunov dimension for a wider variety of parameters values including all parameters, which sati…

Nonlinear Sciences::Chaotic DynamicsLorenz systemLyapunov dimensionLyapunov exponentsself-excited Lorenz attractorKaplan-Yorke dimension
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Attracteurs de Lorenz de variété instable de dimension arbitraire

1997

Abstract We construct the first examples of flows with robust multidimensional Lorenz-like attractors: the singularity contained in the attractor may have any number of expanding eigenvalues, and the attractor remains transitive in a whole neighbourhood of the initial flow. These attractors support a Sinai-Ruelle-Bowen SRB-measure and, contrary to the usual (low-dimensional) Lorenz models, they have infinite modulus of structural stability.

Nonlinear Sciences::Chaotic DynamicsTransitive relationMathematics::Dynamical SystemsSingularityFlow (mathematics)Structural stabilityMathematical analysisAttractorNeighbourhood (graph theory)General MedicineLorenz systemEigenvalues and eigenvectorsMathematicsComptes Rendus de l'Académie des Sciences - Series I - Mathematics
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On the Multifractal Character of the Lorenz Attractor

1992

A detailed analysis of the Lorenz attractor in connection with generalized dimensions is presented in this work. Different methods have been employed to estimate these dimensions. Two of them are of standard type. A new method, based on the minimal spanning tree of the point distribution, is extensively tested in this work. It turns out that the Lorenz attractor is very appropriate for being analyzed through this technique, which produces a very clean estimate of the extrema scaling indices α min and α max . The different methods give qualitatively the same result: The Lorenz attractor has a multifractal character

PhysicsRössler attractorMathematics::Dynamical SystemsPhysics and Astronomy (miscellaneous)Multifractal systemPhysics::Data Analysis; Statistics and ProbabilityLorenz systemMinimum spanning treeNonlinear Sciences::Chaotic DynamicsCharacter (mathematics)Hausdorff dimensionAttractorStatistical physicsScalingProgress of Theoretical Physics
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