Search results for " dynamical systems"

showing 10 items of 165 documents

Information Decomposition in Bivariate Systems: Theory and Application to Cardiorespiratory Dynamics

2015

In the framework of information dynamics, the temporal evolution of coupled systems can be studied by decomposing the predictive information about an assigned target system into amounts quantifying the information stored inside the system and the information transferred to it. While information storage and transfer are computed through the known self-entropy (SE) and transfer entropy (TE), an alternative decomposition evidences the so-called cross entropy (CE) and conditional SE (cSE), quantifying the cross information and internal information of the target system, respectively. This study presents a thorough evaluation of SE, TE, CE and cSE as quantities related to the causal statistical s…

causalityInformation dynamicsTransfer entropyDynamical systems theoryComputationGeneral Physics and Astronomylcsh:AstrophysicsBivariate analysisMultivariate autoregressive processeMachine learningcomputer.software_genreMultivariate autoregressive processesCardiorespiratory interactionsPhysics and Astronomy (all)Systems theoryDynamical systemslcsh:QB460-466Decomposition (computer science)Statistical physicslcsh:ScienceCardiorespiratory interactions; Causality; Dynamical systems; Heart rate variability; Information dynamics; Multivariate autoregressive processes; Transfer entropyHeart rate variabilityMathematicsCardiorespiratory interactions; Causality; Dynamical systems; Heart rate variability; Information dynamics; Multivariate autoregressive processes; Transfer entropy; Physics and Astronomy (all)business.industryCardiorespiratory interactionheart rate variabilitytransfer entropyDynamical systemcardiorespiratory interactionsdynamical systemslcsh:QC1-999CausalityInformation dynamicCross entropySettore ING-INF/06 - Bioingegneria Elettronica E Informaticamultivariate autoregressive processesBenchmark (computing)lcsh:QTransfer entropyArtificial intelligenceinformation dynamicsbusinesscomputerlcsh:PhysicsEntropy
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Multiple steady states and the form of response functions to antigen in a model for the initiation of T cell activation

2017

The aim of this paper is to study the qualitative behaviour predicted by a mathematical model for the initial stage of T-cell activation. The state variables in the model are the concentrations of phosphorylation states of the T-cell receptor (TCR) complex and the phosphatase SHP-1 in the cell. It is shown that these quantities cannot approach zero and that the model possesses more than one positive steady state for certain values of the parameters. It can also exhibit damped oscillations. It is proved that the chemical concentration which represents the degree of activation of the cell, that of the maximally phosphorylated form of the TCR complex, is, in general, a non-monotone function of…

0301 basic medicineState variable1004T cellMolecular Networks (q-bio.MN)PhosphatasemultistationarityDynamical Systems (math.DS)24Dissociation (chemistry)immunology03 medical and health sciences119medicineFOS: Mathematics1008Quantitative Biology - Molecular NetworksMathematics - Dynamical Systemslcsh:ScienceReceptort cellsMultidisciplinaryChemistryT-cell receptor92C37Dissociation constant030104 developmental biologymedicine.anatomical_structureFOS: Biological sciencesBiophysicsPhosphorylationlcsh:QMathematicsResearch Article
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Fixed points of diffeomorphisms, singularities of vector fields and epsilon-neighborhoods of their orbits, the thesis

2013

The thesis deals with recognizing diffeomorphisms from fractal properties of discrete orbits, generated by iterations of such diffeomorphisms. The notion of fractal properties of a set refers to the box dimension, the Minkowski content and their appropriate generalizations, or, in wider sense, to the epsilon-neighborhoods of sets, for small, positive values of parameter epsilon. In the first part of the thesis, we consider the relation between the multiplicity of the fixed point of a real-line diffeomorphism, and the asymptotic behavior of the length of the epsilon-neighborhoods of its orbits. We establish the bijective correspondence. At the fixed point, the diffeomorphisms may be differen…

FOS: MathematicsDynamical Systems (math.DS)Mathematics - Dynamical Systems
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Attracteur de polarisation dans les fibres optiques

2004

Nous etudions la dynamique non lineaire des etats de polarisation de deux ondes coherentes ou incoherentes se propageant dans une fibre optique. Nous presentons en particulier un effet original d'attraction de la polarisation.

PhysicsNonlinear dynamical systemsAttractorGeneral Physics and AstronomyNonlinear opticsAtomic physicsJournal de Physique IV (Proceedings)
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Lock-in range of classical PLL with impulse signals and proportionally-integrating filter

2016

In the present work the model of PLL with impulse signals and active PI filter in the signal's phase space is described. For the considered PLL the lock-in range is computed analytically and obtained result are compared with numerical simulations.

FOS: MathematicsDynamical Systems (math.DS)Mathematics - Dynamical Systems
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System identification via optimised wavelet-based neural networks

2003

Nonlinear system identification by means of wavelet-based neural networks (WBNNs) is presented. An iterative method is proposed, based on a way of combining genetic algorithms (GAs) and least-square techniques with the aim of avoiding redundancy in the representation of the function. GAs are used for optimal selection of the structure of the WBNN and the parameters of the transfer function of its neurones. Least-square techniques are used to update the weights of the net. The basic criterion of the method is the addition of a new neurone, at a generic step, to the already constructed WBNN so that no modification to the parameters of its neurones is required. Simulation experiments and compa…

least squares approximations nonlinear dynamical systems identification neural nets iterative methods genetic algorithmsQuantitative Biology::Neurons and CognitionArtificial neural networkNonlinear system identificationIterative methodComputer scienceSystem identificationTransfer functionWaveletSettore ING-INF/04 - AutomaticaControl and Systems EngineeringControl theoryRedundancy (engineering)Electrical and Electronic EngineeringRepresentation (mathematics)InstrumentationAlgorithmIEE Proceedings - Control Theory and Applications
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Darboux integrable system with a triple point and pseudo-abelian integrals

2016

We study pseudo-abelian integrals associated with polynomial perturbations of Dar-boux integrable system with a triple point. Under some assumptions we prove the local boundedness of the number of their zeros. Assuming that this is the only non-genericity, we prove that the number of zeros of the corresponding pseudo-abelian integrals is bounded uniformly for nearby Darboux integrable foliations.

0209 industrial biotechnologyPure mathematicsControl and OptimizationIntegrable systemTriple pointAbelian integrals[ MATH.MATH-DS ] Mathematics [math]/Dynamical Systems [math.DS]Darboux integrability[MATH.MATH-DS]Mathematics [math]/Dynamical Systems [math.DS][MATH.MATH-DS] Mathematics [math]/Dynamical Systems [math.DS]Dynamical Systems (math.DS)02 engineering and technologyType (model theory)01 natural sciencesIntegrating factor020901 industrial engineering & automationFOS: MathematicsLimit Cycle0101 mathematicsAbelian groupMathematics - Dynamical Systems34C07 34C08MathematicsNumerical AnalysisAlgebra and Number Theory010102 general mathematicsMathematical analysisLimit cyclesMathematics Subject ClassificationControl and Systems EngineeringBounded functionFoliation (geology)
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Noise delayed decay of unstable states: theory versus numerical simulations

2004

We study the noise delayed decay of unstable nonequilibrium states in nonlinear dynamical systems within the framework of the overdamped Brownian motion model. We give the exact expressions for the decay times of unstable states for polynomial potential profiles and obtain nonmonotonic behavior of the decay times as a function of the noise intensity for the unstable nonequilibrium states. The analytical results are compared with numerical simulations.

PhysicsPolynomialStatistical Mechanics (cond-mat.stat-mech)FOS: Physical sciencesGeneral Physics and AstronomyNoise intensityNon-equilibrium thermodynamicsStatistical and Nonlinear PhysicsFunction (mathematics)Nonlinear dynamical systemsnumerical simulationsBrownian motion modelStatistical physicsCondensed Matter - Statistical MechanicsMathematical PhysicsNoise (radio)
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Entropy, Lyapunov exponents, and rigidity of group actions

2018

This text is an expanded series of lecture notes based on a 5-hour course given at the workshop entitled "Workshop for young researchers: Groups acting on manifolds" held in Teres\'opolis, Brazil in June 2016. The course introduced a number of classical tools in smooth ergodic theory -- particularly Lyapunov exponents and metric entropy -- as tools to study rigidity properties of group actions on manifolds. We do not present comprehensive treatment of group actions or general rigidity programs. Rather, we focus on two rigidity results in higher-rank dynamics: the measure rigidity theorem for affine Anosov abelian actions on tori due to A. Katok and R. Spatzier [Ergodic Theory Dynam. Systems…

Pure mathematicsPrimary 22F05 22E40. Secondary 37D25 37C85[MATH.MATH-DS]Mathematics [math]/Dynamical Systems [math.DS][MATH.MATH-DS] Mathematics [math]/Dynamical Systems [math.DS]Rigidity (psychology)Dynamical Systems (math.DS)Group Theory (math.GR)Mathematical proof01 natural sciencesMeasure (mathematics)[MATH.MATH-GR]Mathematics [math]/Group Theory [math.GR]Group action0103 physical sciencesFOS: MathematicsErgodic theoryMSC : Primary: 22F05 22E40 ; Secondary: 37D25 37C850101 mathematicsAbelian groupMathematics - Dynamical SystemsEntropy (arrow of time)Mathematics[MATH.MATH-GR] Mathematics [math]/Group Theory [math.GR]010102 general mathematicsLie group010307 mathematical physicsMathematics - Group Theory
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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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