Search results for " dynamical systems"

showing 10 items of 165 documents

A New Wavelet Tool to Quantify Non-Periodicity of Non-Stationary Economic Time Series

2020

We introduce a new wavelet tool, the windowed scale index, to study the degree of non-periodicity of time series. The windowed scale index is based on some recently defined tools, such as the windowed scalogram and the scale index. This novel measure is appropriate for non-stationary time series whose characteristics change over time and, therefore, it can be applied to a wide variety of disciplines. Furthermore, we revise the concept of the scale index and pose a theoretical problem: it is known that if the scale index of a function is not zero then it is non-periodic, but if the scale index of a function is zero, then it is not proved that it has to be periodic. This problem is solved for…

Index (economics)Scale (ratio)Computer scienceGeneral Mathematics01 natural sciencesMeasure (mathematics)wavelets03 medical and health sciencesWavelet0103 physical sciencesComputer Science (miscellaneous)010301 acousticsEngineering (miscellaneous)030304 developmental biology0303 health sciencesscale indexSeries (mathematics)lcsh:Mathematicschaotic dynamical systemsFunction (mathematics)lcsh:QA1-939Haar waveletSample entropyEconomia matemàticaAlgorithmnon-periodicityMathematics
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Long time behavior for a dissipative shallow water model

2013

We consider the two-dimensional shallow water model derived by Levermore and Sammartino (Nonlinearity 14,2001), describing the motion of an incompressible fluid, confined in a shallow basin, with varying bottom topography. We construct the approximate inertial manifolds for the associated dynamical system and estimate its order. Finally, considering the whole domain R^2 and under suitable conditions on the time dependent forcing term, we prove the L^2 asymptotic decay of the weak solutions.

Inertial frame of referenceFourier splitting methodDynamical Systems (math.DS)Space (mathematics)Dynamical system01 natural sciencesPhysics::Fluid DynamicsNavier–Stokes equationsMathematics - Analysis of PDEsAttractorFOS: MathematicsMathematics - Dynamical Systems0101 mathematicsNavier–Stokes equationsPhysics::Atmospheric and Oceanic PhysicsMathematical PhysicsMathematicsApplied Mathematics010102 general mathematicsMathematical analysisAttractorIncompressible viscous fluidInertial manifoldFunctional Analysis (math.FA)Mathematics - Functional Analysis010101 applied mathematicsWaves and shallow waterTime decayDissipative systemCompressibilityAnalysisAnalysis of PDEs (math.AP)Annales de l'Institut Henri Poincaré C, Analyse non linéaire
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Information Decomposition in Multivariate Systems: Definitions, Implementation and Application to Cardiovascular Networks

2016

The continuously growing framework of information dynamics encompasses a set of tools, rooted in information theory and statistical physics, which allow to quantify different aspects of the statistical structure of multivariate processes reflecting the temporal dynamics of complex networks. Building on the most recent developments in this field, this work designs a complete approach to dissect the information carried by the target of a network of multiple interacting systems into the new information produced by the system, the information stored in the system, and the information transferred to it from the other systems; information storage and transfer are then further decomposed into amou…

Information transferDynamical systems theoryComputer scienceGeneral Physics and Astronomylcsh:AstrophysicsInformation theorycomputer.software_genreMachine learning01 natural sciencesEntropy - Cardiorespiratory interactions - Dynamical systems -cardiovascular interactions03 medical and health sciencessymbols.namesake0302 clinical medicinelcsh:QB460-4660103 physical sciencesinformation transferEntropy (information theory)lcsh:Science010306 general physicsGaussian processautoregressive processesmultivariate time series analysisbusiness.industryautonomic nervous systemredundancy and synergycardiorespiratory interactionsdynamical systemsComplex networkNetwork dynamicslcsh:QC1-999autonomic nervous system; autoregressive processes; cardiorespiratory interactions; cardiovascular interactions; Granger causality; dynamical systems; information dynamics; information transfer; redundancy and synergy; multivariate time series analysisAutoregressive modelSettore ING-INF/06 - Bioingegneria Elettronica E InformaticaGranger causalitysymbolslcsh:QArtificial intelligenceData mininginformation dynamicsbusinesscomputerlcsh:Physics030217 neurology & neurosurgeryEntropy; Volume 19; Issue 1; Pages: 5
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Asymptotic Behaviour of a Logistic Lattice System

2014

In this paper we study the asymptotic behaviour of solutions of a lattice dynamical system of a logistic type. Namely, we study a system of in nite ordinary di erential equations which can be obtained after the spatial discretization of a logistic equation with di usion. We prove that a global attractor exists in suitable weighted spaces of sequences.

Lattice dynamical systemsglobal attractorlogistic equation
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On Differential Equations with Delay in Banach Spaces and Attractors for Retarded Lattice Dynamical Systems

2014

In this paper we first prove a rather general theorem about existence of solutions for an abstract differential equation in a Banach space by assuming that the nonlinear term is in some sense weakly continuous. We then apply this result to a lattice dynamical system with delay, proving also the existence of a global compact attractor for such system.

Lattice dynamical systemsset-valued dynamical systemsdifferential equations with delayglobal attractor
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The minimal model of Hahn for the Calvin cycle.

2018

There are many models of the Calvin cycle of photosynthesis in the literature. When investigating the dynamics of these models one strategy is to look at the simplest possible models in order to get the most detailed insights. We investigate a minimal model of the Calvin cycle introduced by Hahn while he was pursuing this strategy. In a variant of the model not including photorespiration it is shown that there exists exactly one positive steady state and that this steady state is unstable. For generic initial data either all concentrations tend to infinity at lates times or all concentrations tend to zero at late times. In a variant including photorespiration it is shown that for suitable v…

LightExistential quantificationMolecular Networks (q-bio.MN)02 engineering and technologyDynamical Systems (math.DS)Mathematical proofBiochemistryModels BiologicalMinimal modelsymbols.namesakeAdenosine Triphosphate0502 economics and business0202 electrical engineering electronic engineering information engineeringFOS: MathematicsApplied mathematicsQuantitative Biology - Molecular NetworksMathematics - Dynamical SystemsPhotosynthesisMathematicsCompactification (physics)Applied Mathematics05 social sciencesGeneral MedicineCarbon DioxideOxygenComputational MathematicsKineticsGlucoseModeling and SimulationFOS: Biological sciencesPoincaré conjecturesymbols020201 artificial intelligence & image processingGeneral Agricultural and Biological Sciences92C40 34C60050203 business & managementAlgorithmsMathematical biosciences and engineering : MBE
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Linear dynamics induced by odometers

2022

Weighted shifts are an important concrete class of operators in linear dynamics. In particular, they are an essential tool in distinguishing variety dynamical properties. Recently, a systematic study of dynamical properties of composition operators on $L^p$ spaces has been initiated. This class of operators includes weighted shifts and also allows flexibility in construction of other concrete examples. In this article, we study one such concrete class of operators, namely composition operators induced by measures on odometers. In particular, we study measures on odometers which induce mixing and transitive linear operators on $L^p$ spaces.

Linear dynamics composition operators topological mixing topological transitivity odometers47B33 37B20 (Primary) 5420 (Secondary)Settore MAT/05 - Analisi MatematicaApplied MathematicsGeneral MathematicsDynamics (mechanics)FOS: MathematicsDynamical Systems (math.DS)Statistical physicsMathematics - Dynamical SystemsOdometerMathematicsProceedings of the American Mathematical Society
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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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Study of irregular dynamics in an economic model: attractor localization and Lyapunov exponents

2021

Cyclicity and instability inherent in the economy can manifest themselves in irregular fluctuations, including chaotic ones, which significantly reduces the accuracy of forecasting the dynamics of the economic system in the long run. We focus on an approach, associated with the identification of a deterministic endogenous mechanism of irregular fluctuations in the economy. Using of a mid-size firm model as an example, we demonstrate the use of effective analytical and numerical procedures for calculating the quantitative characteristics of its irregular limiting dynamics based on Lyapunov exponents, such as dimension and entropy. We use an analytical approach for localization of a global at…

Lyapunov functionGeneral MathematicsChaoticFOS: Physical sciencesGeneral Physics and AstronomyattraktoritAbsorbing set (random dynamical systems)Lyapunov exponentInstabilitysymbols.namesakeDimension (vector space)AttractorApplied mathematicsEntropy (information theory)taloudelliset mallitdynaamiset systeemitMathematicskaaosteoriaApplied MathematicsLyapunov exponentstaloudelliset ennusteetkausivaihtelutStatistical and Nonlinear PhysicsAbsorbing setNonlinear Sciences - Chaotic DynamicsNonlinear Sciences::Chaotic DynamicsMid-size firm modelLyapunov dimensionsymbolsUnstable periodic orbitChaotic Dynamics (nlin.CD)Chaos, Solitons & Fractals
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Perturbation of the Lyapunov spectra of periodic orbits

2012

We describe all Lyapunov spectra that can be obtained by perturbing the derivatives along periodic orbits of a diffeomorphism. The description is expressed in terms of the finest dominated splitting and Lyapunov exponents that appear in the limit of a sequence of periodic orbits, and involves the majorization partial order. Among the applications, we give a simple criterion for the occurrence of universal dynamics.

Lyapunov functionGeneral MathematicsMathematical analysisPerturbation (astronomy)Dynamical Systems (math.DS)Lyapunov exponentSpectral linesymbols.namesakeFOS: MathematicssymbolsLimit of a sequencePeriodic orbitsDiffeomorphismMathematics - Dynamical SystemsMajorizationMathematicsProceedings of the London Mathematical Society
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