Search results for " DYNAMICAL SYSTEM"

showing 10 items of 188 documents

Attractors of stochastic lattice dynamical systems with a multiplicative noise and non-Lipschitz nonlinearities

2012

AbstractIn this paper we study the asymptotic behavior of solutions of a first-order stochastic lattice dynamical system with a multiplicative noise.We do not assume any Lipschitz condition on the nonlinear term, just a continuity assumption together with growth and dissipative conditions, so that uniqueness of the Cauchy problem fails to be true.Using the theory of multi-valued random dynamical systems we prove the existence of a random compact global attractor.

Dynamical systems theoryApplied MathematicsRandom attractorsMathematical analysisMultiplicative noisePullback attractorLipschitz continuityMultiplicative noiseSet-valued dynamical systemLinear dynamical systemProjected dynamical systemStochastic lattice differential equationsAttractorRandom dynamical systemAnalysisMathematicsJournal of Differential Equations
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Experimental and numerical enhancement of Vibrational Resonance in a neural circuit

2012

International audience; A neural circuit exactly ruled by the FitzHugh-Nagumo equations is excited by a biharmonic signal of frequencies f and F with respective amplitudes A and B. The magnitude spectrum of the circuit response is estimated at the low frequency driving f and presents a resonant behaviour versus the amplitude B of the high frequency. For the first time, it is shown experimentally that this Vibrational Resonance effect is much more pronounced when the two frequencies are multiple. This novel enhancement is also confirmed by numerical predictions. Applications of this nonlinear effect to the detection of weak stimuli are finally discussed.

[ PHYS.COND.CM-DS-NN ] Physics [physics]/Condensed Matter [cond-mat]/Disordered Systems and Neural Networks [cond-mat.dis-nn]02 engineering and technologyLow frequency01 natural sciencesSignalVibrational ResonanceNuclear magnetic resonance[NLIN.NLIN-PS]Nonlinear Sciences [physics]/Pattern Formation and Solitons [nlin.PS]0103 physical sciences0202 electrical engineering electronic engineering information engineeringVibrational resonance[ NLIN.NLIN-PS ] Nonlinear Sciences [physics]/Pattern Formation and Solitons [nlin.PS][PHYS.COND.CM-DS-NN]Physics [physics]/Condensed Matter [cond-mat]/Disordered Systems and Neural Networks [cond-mat.dis-nn]Electrical and Electronic Engineering010306 general physicsMathematicsQuantitative Biology::Neurons and Cognition020208 electrical & electronic engineering[SPI.TRON]Engineering Sciences [physics]/ElectronicsComputational physics[ SPI.TRON ] Engineering Sciences [physics]/ElectronicsNonlinear systemAmplitudeExcited stateNonlinear resonanceBiharmonic equationNonlinear dynamical systemsFitzHugh-Nagumo
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An Ecology and Economy Coupling Model. A global stationary state model for a sustainable economy in the Hamiltonian formalism

2020

Abstract The severity of the two deeply correlated crises, the environmental and the economic ones, needs to be faced also in theoretical terms; thus, the authors propose a model yielding a global “stationary state”, following the idea of a “steady-state economics” by Georgescu-Rogen and Herman Daly, by constructing only one dynamical system of ecological and economic coupled variables. This is possible resorting to the generalized Volterra model, that, translated in the Hamiltonian formalism and its Hamilton equations, makes possible to “conjugate” every pair of variables, one economic, the other one ecological, in describing the behavior in time of a unique dynamical system. Applying the …

Economics and Econometrics010504 meteorology & atmospheric sciencesquasiperiodic motionsStability (learning theory)“conjugate” Hamiltonian pairs010501 environmental sciences“Conjugate” Hamiltonian pairsDynamical system01 natural sciencesNewtonian dynamicsVolterra generalized modelsymbols.namesake0105 earth and related environmental sciencesGeneral Environmental ScienceMathematicsUnique dynamical system; Volterra generalized model; “conjugate” Hamiltonian pairs; quasiperiodic motions; Lyapunov stability; global stationary state.Lyapunov stabilityHamiltonian mechanicsQuasi-periodic motionEcologyglobal stationary stateGlobal stationary statePhase spacePath (graph theory)Lyapunov stabilitysymbolsUnique dynamical systemStationary state
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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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Markov extensions for multi-dimensional dynamical systems

1999

By a result of F. Hofbauer [11], piecewise monotonic maps of the interval can be identified with topological Markov chains with respect to measures with large entropy. We generalize this to arbitrary piecewise invertible dynamical systems under the following assumption: the total entropy of the system should be greater than the topological entropy of the boundary of some reasonable partition separating almost all orbits. We get a sufficient condition for these maps to have a finite number of invariant and ergodic probability measures with maximal entropy. We illustrate our results by quoting an application to a class of multi-dimensional, non-linear, non-expansive smooth dynamical systems.

Pure mathematicsmedicine.medical_specialtyGeneral MathematicsPrinciple of maximum entropyMathematical analysisMeasure-preserving dynamical systemTopological dynamicsTopological entropyTopological entropy in physicsMaximum entropy probability distributionmedicineEntropy rateJoint quantum entropyMathematicsIsrael Journal of Mathematics
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A Survey on Dynamic Analysis of the Costas Loop

2015

This survey is devoted to the dynamic analysis of the Costas loop. In particular the acquisition process is analyzed in great detail. Acquision is most conventiently described by a number of frequency and time parameters such as lock-in range, lock-in time, pull-in range, pull-in time, and hold-in range. While for the classical PLL equations for all these parameters have been derived (many of them are approximations, some even crude approximations), this has not yet been carried out for the Costas loop. It is the aim of this analysis to close this gap. The paper starts with an overview on mathematical and physical models (exact and simplified) of the different variants of the Costas loop, c…

FOS: Electrical engineering electronic engineering information engineeringFOS: MathematicsComputer Science - Systems and ControlSystems and Control (eess.SY)Dynamical Systems (math.DS)Mathematics - Dynamical Systems
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Dynamics of the Selkov oscillator.

2018

A classical example of a mathematical model for oscillations in a biological system is the Selkov oscillator, which is a simple description of glycolysis. It is a system of two ordinary differential equations which, when expressed in dimensionless variables, depends on two parameters. Surprisingly it appears that no complete rigorous analysis of the dynamics of this model has ever been given. In this paper several properties of the dynamics of solutions of the model are established. With a view to studying unbounded solutions a thorough analysis of the Poincar\'e compactification of the system is given. It is proved that for any values of the parameters there are solutions which tend to inf…

Statistics and ProbabilityPeriodicityQuantitative Biology - Subcellular ProcessesClassical exampleFOS: Physical sciencesDynamical Systems (math.DS)01 natural sciencesModels BiologicalGeneral Biochemistry Genetics and Molecular Biology010305 fluids & plasmassymbols.namesake0103 physical sciencesFOS: MathematicsPhysics - Biological PhysicsMathematics - Dynamical Systems0101 mathematicsSubcellular Processes (q-bio.SC)MathematicsGeneral Immunology and MicrobiologyCompactification (physics)Applied Mathematics010102 general mathematicsMathematical analysisGeneral MedicineMathematical ConceptsKineticsMonotone polygonBiological Physics (physics.bio-ph)FOS: Biological sciencesModeling and SimulationBounded functionOrdinary differential equationPoincaré conjecturesymbolsGeneral Agricultural and Biological SciencesGlycolysisDimensionless quantityMathematical biosciences
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Invariant Jordan curves of Sierpinski carpet rational maps

2015

In this paper, we prove that if $R\colon\widehat{\mathbb{C}}\to\widehat{\mathbb{C}}$ is a postcritically finite rational map with Julia set homeomorphic to the Sierpi\'nski carpet, then there is an integer $n_0$, such that, for any $n\ge n_0$, there exists an $R^n$-invariant Jordan curve $\Gamma$ containing the postcritical set of $R$.

Mathematics::Dynamical SystemsGeneral Mathematics[MATH.MATH-DS]Mathematics [math]/Dynamical Systems [math.DS]rational functionsMathematics::General TopologyDynamical Systems (math.DS)01 natural sciences37F10Combinatoricsexpanding Thusrston mapssymbols.namesakeHigh Energy Physics::TheoryMathematics::Quantum AlgebraFOS: MathematicsMathematics::Metric GeometryMathematics - Dynamical Systems0101 mathematicsInvariant (mathematics)MathematicsmatematiikkamathematicsSierpinski carpet Julia setsApplied Mathematicsta111010102 general mathematicsinvariant Jordan curveJulia setJordan curve theoremrationaalifunktiot010101 applied mathematicsrational mapsSierpinski carpetsymbols
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An operator-like description of love affairs

2010

We adopt the so--called \emph{occupation number representation}, originally used in quantum mechanics and recently considered in the description of stock markets, in the analysis of the dynamics of love relations. We start with a simple model, involving two actors (Alice and Bob): in the linear case we obtain periodic dynamics, whereas in the nonlinear regime either periodic or quasiperiodic solutions are found. Then we extend the model to a love triangle involving Alice, Bob and a third actress, Carla. Interesting features appear, and in particular we find analytical conditions for the linear model of love triangle to have periodic or quasiperiodic solutions. Numerical solutions are exhibi…

Physics - Physics and SocietyPure mathematicsLove affairDynamical systems theoryApplied MathematicsBosonic operators; Heisenberg-like dynamics; Dynamical systems; Numerical integration of ordinary differential equationsLinear modelFOS: Physical sciencesPhysics and Society (physics.soc-ph)Canonical commutation relationNonlinear systemTheoretical physicsNumber representationAlice and BobSettore MAT/07 - Fisica MatematicaMathematics
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A Hardware and Secure Pseudorandom Generator for Constrained Devices

2018

Hardware security for an Internet of Things or cyber physical system drives the need for ubiquitous cryptography to different sensing infrastructures in these fields. In particular, generating strong cryptographic keys on such resource-constrained device depends on a lightweight and cryptographically secure random number generator. In this research work, we have introduced a new hardware chaos-based pseudorandom number generator, which is mainly based on the deletion of an Hamilton cycle within the $N$ -cube (or on the vectorial negation), plus one single permutation. We have rigorously proven the chaotic behavior and cryptographically secure property of the whole proposal: the mid-term eff…

Applied cryptography; Chaotic circuits; Constrained devices; Discrete dynamical systems; FPGA; Lightweight Cryptography; Random number generators; Statistical tests; Control and Systems Engineering; Information Systems; Computer Science Applications1707 Computer Vision and Pattern Recognition; Electrical and Electronic EngineeringHardware security moduleComputer scienceRandom number generationCryptography[INFO.INFO-SE]Computer Science [cs]/Software Engineering [cs.SE]02 engineering and technologyPseudorandom generatorConstrained devicesLightweight CryptographyChaotic circuits[INFO.INFO-IU]Computer Science [cs]/Ubiquitous Computing[INFO.INFO-CR]Computer Science [cs]/Cryptography and Security [cs.CR]PermutationRandom number generatorsStatistical tests0202 electrical engineering electronic engineering information engineeringElectrical and Electronic EngineeringField-programmable gate arrayThroughput (business)FPGAPseudorandom number generatorGenerator (category theory)business.industry020208 electrical & electronic engineeringComputer Science Applications1707 Computer Vision and Pattern Recognition020206 networking & telecommunicationsDiscrete dynamical systems[INFO.INFO-MO]Computer Science [cs]/Modeling and SimulationComputer Science ApplicationsApplied cryptography[INFO.INFO-MA]Computer Science [cs]/Multiagent Systems [cs.MA]Control and Systems EngineeringKey (cryptography)[INFO.INFO-ET]Computer Science [cs]/Emerging Technologies [cs.ET][INFO.INFO-DC]Computer Science [cs]/Distributed Parallel and Cluster Computing [cs.DC]businessComputer hardwareInformation SystemsIEEE Transactions on Industrial Informatics
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