Search results for "Self-organizing systems"

showing 9 items of 19 documents

Cellular automaton for chimera states

2016

A minimalistic model for chimera states is presented. The model is a cellular automaton (CA) which depends on only one adjustable parameter, the range of the nonlocal coupling, and is built from elementary cellular automata and the majority (voting) rule. This suggests the universality of chimera-like behavior from a new point of view: Already simple CA rules based on the majority rule exhibit this behavior. After a short transient, we find chimera states for arbitrary initial conditions, the system spontaneously splitting into stable domains separated by static boundaries, ones synchronously oscillating and the others incoherent. When the coupling range is local, nontrivial coherent struct…

PhysicsMajority ruleCellular Automata and Lattice Gases (nlin.CG)General Physics and AstronomyFOS: Physical sciencesPattern Formation and Solitons (nlin.PS)Nonlinear Sciences - Chaotic DynamicsNonlinear Sciences::Cellular Automata and Lattice Gases01 natural sciencesNonlinear Sciences - Pattern Formation and SolitonsCellular automatonNonlinear Sciences - Adaptation and Self-Organizing Systems010305 fluids & plasmasUniversality (dynamical systems)Chimera (genetics)Elementary cellular automaton0103 physical sciencesLagrangian coherent structuresStatistical physicsChaotic Dynamics (nlin.CD)010306 general physicsNonlinear Sciences - Cellular Automata and Lattice GasesAdaptation and Self-Organizing Systems (nlin.AO)
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Asymmetric balance in symmetry breaking

2020

Spontaneous symmetry breaking is central to our understanding of physics and explains many natural phenomena, from cosmic scales to subatomic particles. Its use for applications requires devices with a high level of symmetry, but engineered systems are always imperfect. Surprisingly, the impact of such imperfections has barely been studied, and restricted to a single asymmetry. Here, we experimentally study spontaneous symmetry breaking with two controllable asymmetries. We remarkably find that features typical of spontaneous symmetry breaking, while destroyed by one asymmetry, can be restored by introducing a second asymmetry. In essence, asymmetries are found to balance each other. Our st…

Physicsmedia_common.quotation_subjectSpontaneous symmetry breakingFOS: Physical sciencesPattern Formation and Solitons (nlin.PS)Polarization (waves)Nonlinear Sciences - Pattern Formation and SolitonsAsymmetryNonlinear Sciences - Adaptation and Self-Organizing SystemsNonlinear systemTheoretical physicsPitchfork bifurcationSymmetry breakingSubatomic particleAdaptation and Self-Organizing Systems (nlin.AO)QCBifurcationPhysics - OpticsOptics (physics.optics)media_commonPhysical Review Research
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Optical Frequency Combs Generated in Silica Microspheres in the Telecommunication C-, U-, and E-Bands

2021

Optical frequency combs (OFCs) generated in microresonators with whispering gallery modes are demanded for different applications including telecommunications. Extending operating spectral ranges is an important problem for wavelength-division multiplexing systems based on microresonators. We demonstrate experimentally three spectrally separated OFCs in the C-, U-, and E-bands in silica microspheres which, in principle, can be used for telecommunication applications. For qualitative explanation of the OFC generation in the sidebands, we calculated gain coefficients and gain bandwidths for degenerate four-wave mixing (FWM) processes. We also attained a regime when the pump frequency was in t…

Physics::OpticsSoliton (optics)MultiplexingPhysics::GeophysicsFour-wave mixingNonlinear Sciences::Adaptation and Self-Organizing Systemssilica microsphereDispersion (optics)Radiology Nuclear Medicine and imagingApplied optics. PhotonicsInstrumentationMixing (physics)PhysicsComputer simulationQuantitative Biology::Neurons and Cognitionbusiness.industryDegenerate energy levelsAtomic and Molecular Physics and OpticsTA1501-1820Raman OFCoptical frequency comb (OFC)Whispering-gallery wavefour-wave mixingTelecommunicationsbusinesssoliton-like spectrumPhotonics
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AN HYPERBOLIC-PARABOLIC PREDATOR-PREY MODEL INVOLVING A VOLE POPULATION STRUCTURED IN AGE

2020

Abstract We prove existence and stability of entropy solutions for a predator-prey system consisting of an hyperbolic equation for predators and a parabolic-hyperbolic equation for preys. The preys' equation, which represents the evolution of a population of voles as in [2] , depends on time, t, age, a, and on a 2-dimensional space variable x, and it is supplemented by a nonlocal boundary condition at a = 0 . The drift term in the predators' equation depends nonlocally on the density of preys and the two equations are also coupled via classical source terms of Lotka-Volterra type, as in [4] . We establish existence of solutions by applying the vanishing viscosity method, and we prove stabil…

Population dynamicsPopulationType (model theory)Space (mathematics)01 natural sciencesStability (probability)Predator-prey systemsNonlinear Sciences::Adaptation and Self-Organizing SystemsApplied mathematicsQuantitative Biology::Populations and Evolution[MATH.MATH-AP]Mathematics [math]/Analysis of PDEs [math.AP]0101 mathematicseducationEntropy (arrow of time)Variable (mathematics)Mathematicseducation.field_of_studyApplied Mathematics010102 general mathematicsNonlocal boundary value problemNonlocal conservation lawsParabolic-hyperbolic equationsTerm (time)010101 applied mathematicsPopulation dynamics Predator-prey systems Parabolic-hyperbolic equations Nonlocal conservation laws Nonlocal boundary value problemHyperbolic partial differential equationAnalysis
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Dynamical attractors of memristors and their networks

2018

It is shown that the time-averaged dynamics of memristors and their networks periodically driven by alternating-polarity pulses may converge to fixed-point attractors. Starting with a general memristive system model, we derive basic equations describing the fixed-point attractors and investigate attractors in the dynamics of ideal, threshold-type and second-order memristors, and memristive networks. A memristor potential function is introduced, and it is shown that in some cases the attractor identification problem can be mapped to the problem of potential function minimization. Importantly, the fixed-point attractors may only exist if the function describing the internal state dynamics dep…

State variableIdeal (set theory)Condensed Matter - Mesoscale and Nanoscale PhysicsComputer scienceFOS: Physical sciencesGeneral Physics and AstronomyFunction minimizationMemristorFunction (mathematics)State (functional analysis)Nonlinear Sciences - Chaotic DynamicsTopologyNonlinear Sciences - Adaptation and Self-Organizing Systemslaw.inventionParameter identification problemComputer Science::Emerging TechnologieslawMesoscale and Nanoscale Physics (cond-mat.mes-hall)AttractorChaotic Dynamics (nlin.CD)Adaptation and Self-Organizing Systems (nlin.AO)EPL (Europhysics Letters)
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From deterministic cellular automata to coupled map lattices

2016

A general mathematical method is presented for the systematic construction of coupled map lattices (CMLs) out of deterministic cellular automata (CAs). The entire CA rule space is addressed by means of a universal map for CAs that we have recently derived and that is not dependent on any freely adjustable parameters. The CMLs thus constructed are termed real-valued deterministic cellular automata (RDCA) and encompass all deterministic CAs in rule space in the asymptotic limit $\kappa \to 0$ of a continuous parameter $\kappa$. Thus, RDCAs generalize CAs in such a way that they constitute CMLs when $\kappa$ is finite and nonvanishing. In the limit $\kappa \to \infty$ all RDCAs are shown to ex…

Statistics and ProbabilityGeneral Physics and AstronomyFOS: Physical sciencesPattern Formation and Solitons (nlin.PS)Space (mathematics)01 natural sciences010305 fluids & plasmasLinear stability analysis0103 physical sciencesLimit (mathematics)Statistical physics010306 general physicsMathematical PhysicsBifurcationPhysicsCellular Automata and Lattice Gases (nlin.CG)Quiescent stateStatistical and Nonlinear PhysicsNonlinear Sciences - Chaotic DynamicsNonlinear Sciences - Pattern Formation and SolitonsCellular automatonNonlinear Sciences - Adaptation and Self-Organizing SystemsHomogeneousModeling and SimulationContinuous parameterChaotic Dynamics (nlin.CD)Adaptation and Self-Organizing Systems (nlin.AO)Nonlinear Sciences - Cellular Automata and Lattice Gases
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Diagrammatic approach to cellular automata and the emergence of form with inner structure

2018

We present a diagrammatic method to build up sophisticated cellular automata (CAs) as models of complex physical systems. The diagrams complement the mathematical approach to CA modeling, whose details are also presented here, and allow CAs in rule space to be classified according to their hierarchy of layers. Since the method is valid for any discrete operator and only depends on the alphabet size, the resulting conclusions, of general validity, apply to CAs in any dimension or order in time, arbitrary neighborhood ranges and topology. We provide several examples of the method, illustrating how it can be applied to the mathematical modeling of the emergence of order out of disorder. Specif…

Theoretical computer scienceStructure (category theory)Physical systemFOS: Physical sciencesPattern Formation and Solitons (nlin.PS)01 natural sciences010305 fluids & plasmasOperator (computer programming)0103 physical sciences010306 general physicsTopology (chemistry)Mathematical PhysicsMathematicsComplement (set theory)Numerical AnalysisHierarchy (mathematics)Applied MathematicsCellular Automata and Lattice Gases (nlin.CG)Mathematical Physics (math-ph)Nonlinear Sciences - Pattern Formation and SolitonsCellular automatonNonlinear Sciences - Adaptation and Self-Organizing SystemsDiagrammatic reasoningModeling and SimulationAlgorithmAdaptation and Self-Organizing Systems (nlin.AO)Nonlinear Sciences - Cellular Automata and Lattice Gases
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Encodage d'une information sinusoidale dans un circuit neuronal et résonances induites par une perturbation

2019

Notre étude porte sur un circuit dont la tension obéit à un système d’équations correspondant à unmodèle de neurone. Nous analysons expérimentalement et en simulation numérique comment ce circuit neuronalencode un stimuli sinusoidal en train de potentiels d’action. Nous présentons un diagramme d’encodage où apparaissentdifférentes transitions selon la fréquence du stimuli. Nous montrons ensuite qu’une perturbation hautefréquence peut améliorer la détection d’un stimuli sinusoidal via le phénomène de Résonance Vibrationnelle. Eneffet, la perturbation peut induire des résonances qui coincident avec les transitions observées dans le diagrammed’encodage.

[NLIN.NLIN-AO] Nonlinear Sciences [physics]/Adaptation and Self-Organizing Systems [nlin.AO]Neurone artificiel[NLIN.NLIN-PS] Nonlinear Sciences [physics]/Pattern Formation and Solitons [nlin.PS][SCCO.NEUR] Cognitive science/Neuroscience
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An experimental model for mimicking biological systems: the Belousov-Zhabotinsky reaction in Lipid membranes

2006

{LIPID} {BILAYERS}Belousov-Zhabotinsky reaction; Biomimetic systems; Cell membranes; Lipid bilayers; Morphogenesis; Self-organizing systemsEcologyLipid bilayersChemistryExperimental modelBelousov-Zhabotinsky reaction{BELOUSOV-ZHABOTINSKY} {REACTION}; Biomimetic systems; Cell membranes; {LIPID} {BILAYERS}; morphogenesis; Self-organizing systemsSelf-organizing systemsBiomimetic systemsCell membranesMembraneBelousov–Zhabotinsky reactionBiophysicsMorphogenesis{BELOUSOV-ZHABOTINSKY} {REACTION}Lipid bilayerEcology Evolution Behavior and Systematics
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