Search results for "Nonlinear Sciences::Chaotic Dynamics"

showing 10 items of 131 documents

A note on higher order Melnikov functions

2005

We present several classes of planar polynomial Hamilton systems and their polynomial perturbations leading to vanishing of the first Melnikov integral. We discuss the form of higher order Melnikov integrals. In particular, we present new examples where the second order Melnikov integral is not an Abelian integral.

Abelian integralPolynomialPure mathematicsMathematics::Dynamical SystemsApplied MathematicsMathematical analysisMathematics::Classical Analysis and ODEsPhysics::Fluid DynamicsNonlinear Sciences::Chaotic DynamicsPlanarDiscrete Mathematics and CombinatoricsOrder (group theory)Nonlinear Sciences::Pattern Formation and SolitonsMathematicsQualitative Theory of Dynamical Systems
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The calculation of the first positive Lyapunov exponent in sleep EEG data

1993

To help determine if the EEG is quasiperiodic or chaotic we performed a new analysis by calculating the first positive Lyapunov exponent L1 from sleep EEG data. Lyapunov exponents measure the mean exponential expansion or contraction of a flow in phase space. L1 is zero for periodic as well as quasiperiodic processes, but positive in case of chaotic processes expressing the sensitive dependence on initial conditions. We calculated L1 for sleep EEG segments of 15 healthy male subjects corresponding to sleep stages I, II, III, IV and REM (according to Rechtschaffen and Kales). Our investigations support the assumption that EEG signals are neither quasiperiodic waves nor simple noise. Moreover…

AdultMaleModels NeurologicalChaoticLyapunov exponentElectroencephalographyMeasure (mathematics)symbols.namesakemedicineHumansContraction (operator theory)MathematicsSleep StagesQuantitative Biology::Neurons and Cognitionmedicine.diagnostic_testGeneral NeuroscienceMathematical analysisBrainElectroencephalographySignal Processing Computer-AssistedMiddle AgedNonlinear Sciences::Chaotic DynamicsQuasiperiodic functionPhase spacesymbolsNeurology (clinical)SleepElectroencephalography and Clinical Neurophysiology
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Almost Planar Homoclinic Loops in R3

1996

AbstractIn this paper we study homoclinic loops of vector fields in 3-dimensional space when the two principal eigenvalues are real of opposite sign, which we call almost planar. We are interested to have a theory for higher codimension bifurcations. Almost planar homoclinic loop bifurcations generically occur in two versions “non-twisted” and “twisted” loops. We consider high codimension homoclinic loop bifurcations under generic conditions. The generic condition forces the existence of a 2-dimensional topological invariant ring (non necessarily unique), which is a topological cylinder in the “non-twisted” case and a topological Möbius band in the “twisted” case. If the third eigenvalue is…

Applied Mathematics010102 general mathematicsMathematical analysisCodimensionFixed point01 natural sciences010101 applied mathematicsNonlinear Sciences::Chaotic Dynamicssymbols.namesakesymbolsHomoclinic bifurcationHomoclinic orbitMöbius strip0101 mathematicsInvariant (mathematics)Asymptotic expansionEigenvalues and eigenvectorsAnalysisMathematicsJournal of Differential Equations
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On the number of solutions of a Duffing equation

1991

The exact number of solutions of a Duffing equation with small forcing term and homogeneous Neumann boundary conditions is given. Several bifurcation diagrams are shown.

Applied MathematicsGeneral MathematicsMathematical analysisGeneral Physics and AstronomyDuffing equationBifurcation diagramNonlinear Sciences::Chaotic DynamicsBifurcation theoryNeumann boundary conditionInitial value problemCalculus of variationsBoundary value problemNonlinear Sciences::Pattern Formation and SolitonsBifurcationMathematicsZAMP Zeitschrift f�r angewandte Mathematik und Physik
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Subharmonic and homoclinic bifurcations in the driven and damped sine-Gordon system

1999

Abstract Chaotic responses induced by an applied biharmonic driven signal on the sine-Gordon (sG) system influenced by a constant dc-driven and the damping fields are investigated using a collective coordinate approach for the motion of the breather in the system. For this biharmonic signal, one term has a large amplitude at low frequency. Thus, the classical Melnikov method does not apply to such a system; however, we use the modified version of the Melnikov method to homoclinic bifurcations of the perturbed sG system. Additionally resonant breathers are studied using the modified subharmonic Melnikov theory. This dynamic behavior is illustrated by some numerical computations.

BreatherMathematical analysisChaoticStatistical and Nonlinear PhysicsCondensed Matter PhysicsSignalNonlinear Sciences::Chaotic DynamicsAmplitudeClassical mechanicsBiharmonic equationHomoclinic orbitSineConstant (mathematics)Nonlinear Sciences::Pattern Formation and SolitonsMathematicsPhysica D: Nonlinear Phenomena
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Exchange rates expectations and chaotic dynamics: a replication study

2018

Abstract In this paper the author analyzes the behavior of exchange rates expectations for four currencies, by considering a re-calculation and an extension of Resende and Zeidan (Expectations and chaotic dynamics: empirical evidence on exchange rates, Economics Letters, 2008). Considering Lyapunov exponent-based tests results, they are not supportive of chaos in exchange rates expectations, although the so-called 0–1 test strongly supports the chaos hypothesis.

ChaoticSocial SciencesLyapunov exponent01 natural sciencesexchange rates010305 fluids & plasmassymbols.namesakeH0502 economics and business0103 physical sciencesReplication (statistics)ddc:330Statistical physicsC15050207 economicsEmpirical evidenceHB71-74MathematicsC120-1 testdeterministic chaos05 social sciencesDynamics (mechanics)Lyapunov exponentsNonlinear Sciences::Chaotic DynamicsEconomics as a sciencesymbolsGeneral Economics Econometrics and Financeexpectations
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Hidden and self-excited attractors in radiophysical and biophysical models

2017

One of the central tasks of investigation of dynamical systems is the problem of analysis of the steady (limiting) behavior of the system after the completion of transient processes, i.e., the problem of localization and analysis of attractors (bounded sets of states of the system to which the system tends after transient processes from close initial states). Transition of the system with initial conditions from the vicinity of stationary state to an attractor corresponds to the case of a self-excited attractor. However, there exist attractors of another type: hidden attractors are attractors with the basin of attraction which does not have intersection with a small neighborhoods of any equ…

Chua circuitskaaosteoriapancreatic beta-cellvirtapiiritattraktoritradiophysical generatoroskillaattoritbiofysiikkaNonlinear Sciences::Chaotic Dynamicshidden attractorsbifurkaatiosäteilyfysiikkamultistabilityself-excited attractorskatastrofiteoriamatemaattiset mallitdifferentiaaliyhtälöt
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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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Prediction of Hidden Oscillations Existence in Nonlinear Dynamical Systems: Analytics and Simulation

2013

From a computational point of view, in nonlinear dynamical systems, attractors can be regarded as self-excited and hidden attractors. Self-excited attractors can be localized numerically by a standard computational procedure, in which after a transient process a trajectory, starting from a point of unstable manifold in a neighborhood of equilibrium, reaches a state of oscillation, therefore one can easily identify it. In contrast, for a hidden attractor, a basin of attraction does not intersect neighborhoods of equilibria. While classical attractors are self-excited, attractors can therefore be obtained numerically by the standard computational procedure, for localization of hidden attracto…

Computer scienceOscillationbusiness.industryProcess (computing)State (functional analysis)Machine learningcomputer.software_genreManifoldNonlinear Sciences::Chaotic DynamicsAttractorTrajectoryPoint (geometry)Transient (oscillation)Artificial intelligenceStatistical physicsbusinesscomputer
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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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