Search results for "dynamical system"

showing 10 items of 523 documents

An extension of Weyl's equidistribution theorem to generalized polynomials and applications

2019

Generalized polynomials are mappings obtained from the conventional polynomials by the use of operations of addition, multiplication and taking the integer part. Extending the classical theorem of H. Weyl on equidistribution of polynomials, we show that a generalized polynomial $q(n)$ has the property that the sequence $(q(n) \lambda)_{n \in \mathbb{Z}}$ is well distributed $\bmod \, 1$ for all but countably many $\lambda \in \mathbb{R}$ if and only if $\lim\limits_{\substack{|n| \rightarrow \infty n \notin J}} |q(n)| = \infty$ for some (possibly empty) set $J$ having zero density in $\mathbb{Z}$. We also prove a version of this theorem along the primes (which may be viewed as an extension …

Mathematics::Number TheoryFOS: MathematicsDynamical Systems (math.DS)Mathematics - Dynamical Systems
researchProduct

On attracting sets in artificial networks: cross activation

2018

Mathematical models of artificial networks can be formulated in terms of dynamical systems describing the behaviour of a network over time. The interrelation between nodes (elements) of a network is encoded in the regulatory matrix. We consider a system of ordinary differential equations that describes in particular also genomic regulatory networks (GRN) and contains a sigmoidal function. The results are presented on attractors of such systems for a particular case of cross activation. The regulatory matrix is then of particular form consisting of unit entries everywhere except the main diagonal. We show that such a system can have not more than three critical points. At least n–1 eigenvalu…

Matrix (mathematics)lcsh:T58.5-58.64Mathematical modelDynamical systems theorylcsh:Information technologyComputer scienceQuantitative Biology::Molecular NetworksOrdinary differential equationAttractorSigmoid functionTopologyMain diagonalEigenvalues and eigenvectorsITM Web of Conferences
researchProduct

Harmonic Balance Method and Stability of Discontinuous Systems

2019

The development of the theory of discontinuous dynamical systems and differential inclusions was not only due to research in the field of abstract mathematics but also a result of studies of particular problems in mechanics. One of the first methods, used for the analysis of dynamics in discontinuous mechanical systems, was the harmonic balance method developed in the thirties of the twentieth century. In our work, the results of analysis obtained by the method of harmonic balance, which is an approximate method, are compared with the results obtained by rigorous mathematical methods and numerical simulation.

Mechanical systemWork (thermodynamics)Harmonic balanceDynamical systems theoryComputer simulationDifferential inclusionField (physics)Applied mathematicsStability (probability)Mathematics
researchProduct

Canard-cycle transition at a fast–fast passage through a jump point

2014

Abstract We consider transitory canard cycles that consist of a generic breaking mechanism, i.e. a Hopf or a jump breaking mechanism, in combination with a fast–fast passage through a jump point. Such cycle separates two types of canard cycles with a different shape. We obtain upper bounds on the number of periodic orbits that can appear near the canard cycle, and this under very general conditions.

Mechanism (engineering)Mathematics::Dynamical SystemsQuantitative Biology::Neurons and CognitionControl theoryTransition (fiction)Mathematical analysisJumpPeriodic orbitsPoint (geometry)General MedicineMathematicsComptes Rendus Mathematique
researchProduct

Wait-and-switch relaxation model: Relationship between nonexponential relaxation patterns and random local properties of a complex system

2006

The wait-and-switch stochastic model of relaxation is presented. Using the ``random-variable'' formalism of limit theorems of probability theory we explain the universality of the short- and long-time fractional-power laws in relaxation responses of complex systems. We show that the time evolution of the nonequilibrium state of a macroscopic system depends on two stochastic mechanisms: one, which determines the local statistical properties of the relaxing entities, and the other one, which determines the number (random or deterministic) of the microscopic and mesoscopic relaxation contributions. Within the proposed framework we derive the Havriliak-Negami and Kohlrausch-Williams-Watts funct…

Mesoscopic physicsMathematical optimizationProbability theoryStochastic modellingHomogeneousComplex systemTime evolutionNon-equilibrium thermodynamicsStatistical physicsMathematicsUniversality (dynamical systems)Physical Review E
researchProduct

Stable moment mappings and singular lagrangian Fibrations

2005

We study singular Lagrangian fibrations given by moment mappings using cohomological methods. We give a theorem for the stability of these foliations and construct a symplectic version of Mather’s stable mapping theorem.

Moment (mathematics)Pure mathematicssymbols.namesakeMathematics::Dynamical SystemsGeneral MathematicsMathematical analysissymbolsMathematics::Algebraic TopologyMathematics::Symplectic GeometryStability (probability)LagrangianSymplectic geometryMathematicsThe Quarterly Journal of Mathematics
researchProduct

Redundant Picard–Fuchs System for Abelian Integrals

2001

We derive an explicit system of Picard-Fuchs differential equations satisfied by Abelian integrals of monomial forms and majorize its coefficients. A peculiar feature of this construction is that the system admitting such explicit majorants, appears only in dimension approximately two times greater than the standard Picard-Fuchs system. The result is used to obtain a partial solution to the tangential Hilbert 16th problem. We establish upper bounds for the number of zeros of arbitrary Abelian integrals on a positive distance from the critical locus. Under the additional assumption that the critical values of the Hamiltonian are distant from each other (after a proper normalization), we were…

MonomialPure mathematicsDynamical systems theoryDifferential equationDynamical Systems (math.DS)symbols.namesakeFOS: MathematicsMathematics - Dynamical SystemsAbelian groupComplex Variables (math.CV)Complex quadratic polynomialMathematicsDiscrete mathematicsMathematics - Complex Variables14D0514K20Applied Mathematics32S4034C0834C07symbolsEquivariant mapLocus (mathematics)Hamiltonian (quantum mechanics)32S2034C07; 34C08; 32S40; 14D05; 14K20; 32S20AnalysisJournal of Differential Equations
researchProduct

Response determination of linear dynamical systems with singular matrices: A polynomial matrix theory approach

2017

Abstract An approach is developed based on polynomial matrix theory for formulating the equations of motion and for determining the response of multi-degree-of-freedom (MDOF) linear dynamical systems with singular matrices and subject to linear constraints. This system modeling may appear for reasons such as utilizing redundant DOFs, and can be advantageous from a computational cost perspective, especially for complex (multi-body) systems. The herein developed approach can be construed as an alternative to the recently proposed methodology by Udwadia and coworkers, and has the significant advantage that it circumvents the use of pseudoinverses in determining the system response. In fact, ba…

Multibody system0209 industrial biotechnologyMathematical optimizationPolynomialApplied Mathematics02 engineering and technologyLinear constrained structural/mechanical systemPolynomial matrix theoryMatrix multiplicationPolynomial matrixMatrix polynomialLinear dynamical systemMatrix (mathematics)020303 mechanical engineering & transports020901 industrial engineering & automation0203 mechanical engineeringMatrix splittingModeling and SimulationApplied mathematicsMatrix analysisClosed form solutionSingular matrixMathematics
researchProduct

Stochastic Nonlinear Time Series Forecasting Using Time-Delay Reservoir Computers: Performance and Universality

2014

International audience; Reservoir computing is a recently introduced machine learning paradigm that has already shown excellent performances in the processing of empirical data. We study a particular kind of reservoir computers called time-delay reservoirs that are constructed out of the sampling of the solution of a time-delay diFFerential equation and show their good performance in the forecasting of the conditional covariances associated to multivariate discrete-time nonlinear stochastic processes of VEC-GARCH type as well as in the prediction of factual daily market realized volatilities computed with intraday quotes, using as training input daily log-return series of moderate size. We …

Multivariate statisticsMathematical optimizationTime FactorsRealized varianceDifferential equationComputer scienceCognitive NeuroscienceMathematicsofComputing_NUMERICALANALYSIS02 engineering and technologyComputer Communication NetworksArtificial Intelligence0502 economics and business0202 electrical engineering electronic engineering information engineeringHumansTime seriesSimulation050205 econometrics Stochastic Processes[PHYS.PHYS.PHYS-OPTICS]Physics [physics]/Physics [physics]/Optics [physics.optics]Series (mathematics)Artificial neural networkComputersStochastic process05 social sciencesReservoir computingSampling (statistics)Universality (dynamical systems)Nonlinear systemNonlinear DynamicsData Interpretation Statistical020201 artificial intelligence & image processingNeural Networks ComputerForecastingSSRN Electronic Journal
researchProduct

Detecting nonlinear causal interactions between dynamical systems by non-uniform embedding of multiple time series.

2010

This study introduces a new approach for the detection of nonlinear Granger causality between dynamical systems. The approach is based on embedding the multivariate (MV) time series measured from the systems X and Y by means of a sequential, non-uniform procedure, and on using the corrected conditional entropy (CCE) as unpredictability measure. The causal coupling from X to Y is quantified as the relative decrease of CCE measured after allowing the series of X to enter the embedding procedure for the description of Y. The ability of the approach to quantify nonlinear causality is assessed on MV time series measured from simulated dynamical systems with unidirectional coupling (the Rössler-…

Multivariate statisticsTime FactorsDynamical systems theoryEntropyBiomedical EngineeringMachine learningcomputer.software_genreHumansStatistical physicsTime seriesMathematicsVisual CortexConditional entropyCouplingSignal processingbusiness.industryMagnetoencephalographyReproducibility of ResultsSignal Processing Computer-AssistedSomatosensory CortexNonlinear systemNonlinear DynamicsSettore ING-INF/06 - Bioingegneria Elettronica E InformaticaMultivariate AnalysisEmbeddingArtificial intelligencebusinesscomputer
researchProduct