Search results for "dynamical system"

showing 10 items of 523 documents

Gibbs and harmonic measures for foliations with negatively curved leaves

2013

Pas de résumé en anglais.

[MATH.MATH-DS] Mathematics [math]/Dynamical Systems [math.DS]Mesures de GibbsGibbs
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A Symplectic Kovacic's Algorithm in Dimension 4

2018

Let $L$ be a $4$th order differential operator with coefficients in $\mathbb{K}(z)$, with $\mathbb{K}$ a computable algebraically closed field. The operator $L$ is called symplectic when up to rational gauge transformation, the fundamental matrix of solutions $X$ satisfies $X^t J X=J$ where $J$ is the standard symplectic matrix. It is called projectively symplectic when it is projectively equivalent to a symplectic operator. We design an algorithm to test if $L$ is projectively symplectic. Furthermore, based on Kovacic's algorithm, we design an algorithm that computes Liouvillian solutions of projectively symplectic operators of order $4$. Moreover, using Klein's Theorem, algebraic solution…

[MATH.MATH-DS]Mathematics [math]/Dynamical Systems [math.DS]010102 general mathematicsDynamical Systems (math.DS)Differential operator01 natural sciencesSymplectic matrixDifferential Galois theory34M15Operator (computer programming)Fundamental matrix (linear differential equation)Mathematics - Symplectic Geometry0103 physical sciencesFOS: MathematicsSymplectic Geometry (math.SG)010307 mathematical physicsMathematics - Dynamical Systems0101 mathematicsAlgebraically closed fieldAlgebraic numberMathematics::Symplectic GeometryAlgorithmMathematicsSymplectic geometryProceedings of the 2018 ACM International Symposium on Symbolic and Algebraic Computation
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Tame dynamics and robust transitivity

2011

One main task of smooth dynamical systems consists in finding a good decomposition into elementary pieces of the dynamics. This paper contributes to the study of chain-recurrence classes. It is known that $C^1$-generically, each chain-recurrence class containing a periodic orbit is equal to the homoclinic class of this orbit. Our result implies that in general this property is fragile. We build a C1-open set U of tame diffeomorphisms (their dynamics only splits into finitely many chain-recurrence classes) such that for any diffeomorphism in a C-infinity-dense subset of U, one of the chain-recurrence classes is not transitive (and has an isolated point). Moreover, these dynamics are obtained…

[MATH.MATH-DS]Mathematics [math]/Dynamical Systems [math.DS][ MATH.MATH-DS ] Mathematics [math]/Dynamical Systems [math.DS]FOS: Mathematics[MATH.MATH-DS] Mathematics [math]/Dynamical Systems [math.DS]Dynamical Systems (math.DS)Mathematics - Dynamical Systems
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Bifurcations of planar vector fields

1990

International audience

[MATH.MATH-DS]Mathematics [math]/Dynamical Systems [math.DS][MATH.MATH-DS] Mathematics [math]/Dynamical Systems [math.DS]ComputingMilieux_MISCELLANEOUS
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On a quadratic form associated with the nilpotent part of the monodromy of a curve

2021

Minor correction on the metadata of one of the authors. The rest is exactly the same; We study the nilpotent part of certain pseudoperiodic automorphisms of surfaces appearing in singularity theory. We associate a quadratic form $\tilde{Q}$ defined on the first (relative to the boundary) homology group of the Milnor fiber $F$ of any germ analytic curve on a normal surface. Using the twist formula and techniques from mapping class group theory, we prove that the form $\tilde{Q}$ obtained after killing ${\ker N}$ is definite positive, and that its restriction to the absolute homology group of $F$ is even whenever the Nielsen-Thurston graph of the monodromy automorphism is a tree. The form $\t…

[MATH.MATH-DS]Mathematics [math]/Dynamical Systems [math.DS][MATH.MATH-DS] Mathematics [math]/Dynamical Systems [math.DS]Mathematics::Geometric Topology
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Statistical consequences of the Devroye inequality for processes. Applications to a class of non-uniformly hyperbolic dynamical systems

2005

In this paper, we apply Devroye inequality to study various statistical estimators and fluctuations of observables for processes. Most of these observables are suggested by dynamical systems. These applications concern the co-variance function, the integrated periodogram, the correlation dimension, the kernel density estimator, the speed of convergence of empirical measure, the shadowing property and the almost-sure central limit theorem. We proved in \cite{CCS} that Devroye inequality holds for a class of non-uniformly hyperbolic dynamical systems introduced in \cite{young}. In the second appendix we prove that, if the decay of correlations holds with a common rate for all pairs of functio…

[MATH.MATH-PR] Mathematics [math]/Probability [math.PR]Pure mathematicsDynamical systems theoryFunction space[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]General Physics and AstronomyDynamical Systems (math.DS)01 natural sciences010104 statistics & probabilityFOS: MathematicsMathematics - Dynamical Systems0101 mathematicsMathematical PhysicsCentral limit theoremMathematicsApplied MathematicsProbability (math.PR)010102 general mathematicsEstimatorStatistical and Nonlinear PhysicsFunction (mathematics)Absolute continuity[MATH.MATH-PR]Mathematics [math]/Probability [math.PR]Besov spaceInvariant measure[ MATH.MATH-PR ] Mathematics [math]/Probability [math.PR]Mathematics - ProbabilityNonlinearity
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Reversible inhibition excluses the coexistence at continuous culture

2010

We consider a simple chemostat model involving two species feeding on limiting substrate with reversible inhibition. Systems of differential equations are proposed as models of this association. A detailed qualitative analysis is carried out.We proved, under general and naturel assumptions of monotony on the response functions that the persistence of the two species is impossible.

[SDV.EE]Life Sciences [q-bio]/Ecology environment[SDV.SA]Life Sciences [q-bio]/Agricultural sciences[SDV.EE] Life Sciences [q-bio]/Ecology environment[INFO.INFO-OH]Computer Science [cs]/Other [cs.OH][MATH.MATH-DS]Mathematics [math]/Dynamical Systems [math.DS][ INFO.INFO-OH ] Computer Science [cs]/Other [cs.OH][MATH.MATH-DS] Mathematics [math]/Dynamical Systems [math.DS][ SDV.SA ] Life Sciences [q-bio]/Agricultural sciencesComputingMilieux_MISCELLANEOUS
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Extending existential feeling through sensory substitution

2023

AbstractIn current philosophy of mind, there is lively debate over whether emotions, moods, and other affects can extend to comprise elements beyond one’s organismic boundaries. At the same time, there has been growing interest in the nature and significance of so-called existential feelings, which, as the term suggests, are feelings of one’s overall being in the world. In this article, I bring these two strands of investigation together to ask: can the material underpinnings of existential feelings extend beyond one’s skull and skin? To begin, I introduce and adopt a componential-systemic view of extended affectivity. In doing so, I specify the vehicle externalist criteria for extension em…

affektiivisuuseksistenssitactile visualsensorimotor contingenciessensomotorinen kehitysGeneral Social Sciencessensory substitutiondynamical systems theorykontingenssisensorimotor know-howexistential feelingPhilosophyeksistentialismisensory substitution devicesfeedback loopstunteetextended affectivitybody schemacouplingruumiinkuvaSynthese
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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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Interfaces between coexisting phases in polymer mixtures: What can we learn from Monte Carlo simulations?

1999

Symmetric binary polymer mixtures are studied by Monte Carlo simulation of the bond fluctuation model, considering both interfaces between coexisting bulk phases and interfaces confined in thin films. It is found that the critical behavior of interfacial tension and width is compatible with that of the Ising model, as expected from the universality principle. In the strong segregation limit, only qualitative but not quantitative agreement with the self-consistent field (SCF) theory is found. It is argued that the SCF theory requires √ 6 X √D for short-range forces, in agreement with experiment.

chemistry.chemical_classificationPolymers and PlasticsCondensed matter physicsOrganic ChemistryMonte Carlo methodBinary numberPolymerCondensed Matter PhysicsUniversality (dynamical systems)Condensed Matter::Soft Condensed MatterSurface tensionchemistryMaterials ChemistryIsing modelPolymer blendStatistical physicsThin filmMacromolecular Symposia
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