Search results for "dynamical system"

showing 10 items of 523 documents

Almost sure rates of mixing for i.i.d. unimodal maps

2002

International audience; It has been known since the pioneering work of Jakobson and subsequent work by Benedicks and Carleson and others that a positive measure set of quadratic maps admit an absolutely continuous invariant measure. Young and Keller-Nowicki proved exponential decay of its correlation functions. Benedicks and Young, and Baladi and Viana studied stability of the density and exponential rate of decay of the Markov chain associated to i.i.d. small perturbations. The almost sure statistical properties of the sample stationary measures of i.i.d. itineraries are more difficult to estimate than the "averaged statistics". Adapting to random systems, on the one hand partitions associ…

Independent and identically distributed random variables[MATH.MATH-PR] Mathematics [math]/Probability [math.PR]Mathematics::Dynamical SystemsMarkov chainGeneral Mathematics010102 general mathematicsMathematical analysisErgodicityAbsolute continuity01 natural sciencesExponential function[MATH.MATH-PR]Mathematics [math]/Probability [math.PR]010104 statistics & probabilityQuadratic equationInvariant measure0101 mathematicsExponential decayddc:510Mathematics
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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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Hysteresis Model of Unconscious-Conscious Interconnection: Exploring Dynamics on m-Adic Trees

2015

The theoretical model outlined in this paper, has been experimentally validated by: H. Kim ,J-Y. Moon ,G.A. Mashour & U. Lee, ''Mechanisms of hysteresis in human brain networks during transitions of consciousness and unconsciousness: Theoretical principles and empirical evidence'', PLOS-Computational Biology, August 30, 2018, https://journals.plos.org/ploscompbiol/article?id=10.1371/journal.pcbi.1006424; International audience; In this brief note, we focus attention on a possible implementation of a basic hysteretic pattern (the Preisach one), suitably generalized, into a formal model of unconscious-conscious interconnection and based on representation of mental entities by m-adic numbers. …

InterconnectionhysteresiUnconscious mindm-adic treeGeneral Mathematics[MATH.MATH-DS]Mathematics [math]/Dynamical Systems [math.DS]Representation (systemics)unconscious[SHS.PSY]Humanities and Social Sciences/Psychologyunconsciou[MATH.MATH-FA]Mathematics [math]/Functional Analysis [math.FA]Focus (linguistics)AlgebraHysteresishysteresisp-adic treeDynamics (music)[MATH.MATH-MP]Mathematics [math]/Mathematical Physics [math-ph]Algebra over a field[PHYS.COND]Physics [physics]/Condensed Matter [cond-mat]MathematicsPreisach model
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Optimal control and Clairaut-Liouville metrics with applications

2014

The work of this thesis is about the study of the conjugate and cut loci of 2D riemannian or almost-riemannian metrics. We take the point of view of optimal control to apply the Pontryagin Maximum Principle in the purpose of characterize the extremals of the problem considered.We use geometric, numerical and integrability methods to study some Liouville and Clairaut-Liouville metrics on the sphere. In the degenerate case of revolution, the study of the ellipsoid uses geometric methods to fix the cut locus and the nature of the conjugate locus in the oblate and prolate cases. In the general case, extremals will have two distinct type of comportment which correspond to those observed in the r…

Ising chains of spinsLiouville metricsCut LocusContrôle optimal géométrique[ MATH.MATH-DS ] Mathematics [math]/Dynamical Systems [math.DS][MATH.MATH-DS]Mathematics [math]/Dynamical Systems [math.DS][MATH.MATH-DS] Mathematics [math]/Dynamical Systems [math.DS]Almost-Riemannian geometryChaînes de spins de type IsingGeometric optimal control[ MATH.MATH-DG ] Mathematics [math]/Differential Geometry [math.DG]Conjugate Locus[MATH.MATH-DG]Mathematics [math]/Differential Geometry [math.DG]Métriques de LiouvilleMétrique pseudo-riemannienneLieu conjugué[MATH.MATH-DG] Mathematics [math]/Differential Geometry [math.DG]Lieu de coupure
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Iterative closure method for non-linear systems driven by polynomials of Gaussian filtered processes

2008

This paper concerns the statistical characterization of the non-Gaussian response of non-linear systems excited by polynomial forms of filtered Gaussian processes. The non-Gaussianity requires the computation of moments of any order. The problem is solved profiting from both the stochastic equivalent linearization (EL), and the moment equation approach of Ito's stochastic differential calculus through a procedure divided into two parts. The first step requires the linearization of the system, while retaining the non-linear excitation; the response statistical moments are calculated exactly, and constitute a first estimate of the moments of the actual non-linear system. In the second step, t…

Itoˆ ’s calculuDynamical systems theoryIterative methodMoment equation approachMechanical EngineeringGaussianMathematical analysisStochastic calculusSecond moment of areaNon-linear systemComputer Science ApplicationsNonlinear systemsymbols.namesakeLinearizationModeling and SimulationsymbolsStochastic dynamicGeneral Materials ScienceIterative procedureSettore ICAR/08 - Scienza Delle CostruzioniGaussian processCivil and Structural EngineeringMathematicsComputers & Structures
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On the Kneser property for reaction–diffusion systems on unbounded domains

2009

Abstract We prove the Kneser property (i.e. the connectedness and compactness of the attainability set at any time) for reaction–diffusion systems on unbounded domains in which we do not know whether the property of uniqueness of the Cauchy problem holds or not. Using this property we obtain that the global attractor of such systems is connected. Finally, these results are applied to the complex Ginzburg–Landau equation.

Kneser propertyPure mathematicsProperty (philosophy)Social connectednessMathematical analysisSet-valued dynamical systemGlobal attractorUnbounded domainSet (abstract data type)Compact spaceReaction–diffusion systemReaction–diffusion systemAttractorInitial value problemGeometry and TopologyUniquenessMathematicsTopology and its Applications
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Fixed point iterative schemes for variational inequality problems

2018

In a wide class of evolutionary processes, the problem of computing the solutions of an initial value problem is encountered. Here, we consider projected dynamical systems in the sense of \cite{Daniele} and references therein. Precisely, a projected dynamical system is an operator which solves the initial value problem: \begin{equation}\label{PDS}\frac{dx(t)}{dt}= \Pi_{\mathbb{K}}\left(x(t),-F(x(t))\right), \quad x(0)=x_0 \in \mathbb{K}, \, t \in [0,+\infty[,\tag{P}\end{equation} where $\mathbb{K}$ is a convex polyhedral set in $\mathbb{R}^n$, $F: \mathbb{K} \to \mathbb{R}^n$ and $\Pi_{\mathbb{K}}: \mathbb{R} \times \mathbb{K} \to \mathbb{R}^n$ is given as follows $\Pi_{\mathbb{K}}(x,-F(x))…

Krasnoselskij-type iterative schemeSettore MAT/08 - Analisi NumericaVariational inequality problemSettore MAT/05 - Analisi MatematicaHilbert spaceHilbert space Krasnoselskij-type iterative scheme Projected dynamical system Projection operator Variational inequality problemProjection operatorProjected dynamical system
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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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