Search results for "Chao"

showing 10 items of 402 documents

Experimental demonstration of phase bistability in a broad-area optical oscillator with injected signal

2015

We demonstrate experimentally that a broad-area laserlike optical oscillator (a nondegenerate photorefractive oscillator) with structured injected signal displays two-phase patterns. The technique [de Valc\'arcel and Staliunas, Phys. Rev. Lett. 105, 054101 (2010)] consists in spatially modulating the injection, so that its phase alternates periodically between two opposite values, i.e., differing by $\ensuremath{\pi}$.

Bistability:Física::Mecànica quàntica [Àrees temàtiques de la UPC]educationPhase (waves)FOS: Physical sciencesPattern Formation and Solitons (nlin.PS)SignalOpticsOptical chaos complexityphotorefractive and Kerr effectsDynamics of nonlinear optical systemsPatternsPhysicsLàsersbusiness.industryLasersPhase conjugationPhotorefractive effectNonlinear Sciences - Pattern Formation and SolitonsAtomic and Molecular Physics and OpticsOptical spatio-temporal dynamicsOptical instabilitiesAtomic physicsPhase conjugationbusinessPhysics - OpticsOptics (physics.optics)
researchProduct

Experimental study of electrical FitzHugh-Nagumo neurons with modified excitability

2006

International audience; We present an electronical circuit modelling a FitzHugh-Nagumo neuron with a modified excitability. To characterize this basic cell, the bifurcation curves between stability with excitation threshold, bistability and oscillations are investigated. An electrical circuit is then proposed to realize a unidirectional coupling between two cells, mimicking an inter-neuron synaptic coupling. In such a master-slave configuration, we show experimentally how the coupling strength controls the dynamics of the slave neuron, leading to frequency locking, chaotic behavior and synchronization. These phenomena are then studied by phase map analysis. The architecture of a possible ne…

BistabilityComputer scienceCognitive NeuroscienceModels Neurological[MATH.MATH-DS]Mathematics [math]/Dynamical Systems [math.DS][ NLIN.NLIN-CD ] Nonlinear Sciences [physics]/Chaotic Dynamics [nlin.CD][ MATH.MATH-DS ] Mathematics [math]/Dynamical Systems [math.DS]ChaoticPhase mapAction PotentialsSynchronizationTopologyElectronic neuronsSynaptic Transmission01 natural sciencesSynchronization010305 fluids & plasmaslaw.inventionBiological ClocksArtificial IntelligencelawControl theoryOscillometry0103 physical sciencesmedicineAnimals010306 general physicsElectronic circuitNeuronsArtificial neural networkQuantitative Biology::Neurons and Cognition[SCCO.NEUR]Cognitive science/Neuroscience[SPI.TRON]Engineering Sciences [physics]/Electronics[ SPI.TRON ] Engineering Sciences [physics]/ElectronicsCoupling (electronics)medicine.anatomical_structureNonlinear DynamicsElectrical network[NLIN.NLIN-CD]Nonlinear Sciences [physics]/Chaotic Dynamics [nlin.CD][ SCCO.NEUR ] Cognitive science/NeuroscienceChaosBifurcationSynaptic couplingNeural Networks ComputerNeuron
researchProduct

Coexistence of single-mode and multi-longitudinal mode emission in the ring laser model

2005

A homogeneously broadened unidirectonal ring laser can emit in several longitudinal modes for large enough pump and cavity length because of Rabi splitting induced gain. This is the so called Risken-Nummedal-Graham-Haken (RNGH) instability. We investigate numerically the properties of the multi-mode solution. We show that this solution can coexist with the single-mode one, and its stability domain can extend to pump values smaller than the critical pump of the RNGH instability. Morevoer, we show that the multi-mode solution for large pump values is affected by two different instabilities: a pitchfork bifurcation, which preserves phase-locking, and a Hopf bifurcation, which destroys it.

BistabilityFOS: Physical sciencesPhysics::OpticsRing laserInstabilityOptical bistabilityLongitudinal modesymbols.namesakeINSTABILITIESOpticsElectrical and Electronic EngineeringPhysical and Theoretical ChemistryHopf bifurcationPhysicsbusiness.industrySingle-mode optical fiberNonlinear Sciences - Chaotic DynamicsAtomic and Molecular Physics and OpticsPULSESElectronic Optical and Magnetic MaterialsPitchfork bifurcationsymbolsTURBULENCEChaotic Dynamics (nlin.CD)businessOptics (physics.optics)Physics - Optics
researchProduct

Subharmonic and homoclinic bifurcations in the driven and damped sine-Gordon system

1999

Abstract Chaotic responses induced by an applied biharmonic driven signal on the sine-Gordon (sG) system influenced by a constant dc-driven and the damping fields are investigated using a collective coordinate approach for the motion of the breather in the system. For this biharmonic signal, one term has a large amplitude at low frequency. Thus, the classical Melnikov method does not apply to such a system; however, we use the modified version of the Melnikov method to homoclinic bifurcations of the perturbed sG system. Additionally resonant breathers are studied using the modified subharmonic Melnikov theory. This dynamic behavior is illustrated by some numerical computations.

BreatherMathematical analysisChaoticStatistical and Nonlinear PhysicsCondensed Matter PhysicsSignalNonlinear Sciences::Chaotic DynamicsAmplitudeClassical mechanicsBiharmonic equationHomoclinic orbitSineConstant (mathematics)Nonlinear Sciences::Pattern Formation and SolitonsMathematicsPhysica D: Nonlinear Phenomena
researchProduct

Predictability, chaos and coordination in bird vigilant behaviour

1999

CHAOS (operating system)Animal Science and ZoologyPredictabilityPsychologySocial psychologyEcology Evolution Behavior and SystematicsCognitive psychologyAnimal Behaviour
researchProduct

Revisiting Bicausative Matrices: The Swiss Cheese of Chaos

2009

This paper returns to de Mesnard's paper of 2000, which has exposed the so-called method of bicausative matrices. This method was created to analyze the structural change between two matrices, as an improvement of the causative method of Jackson and al. (1990). In its 2000 paper, de Mesnard has shown that chaos affects the bicausative method: two solutions are found with a brutal switching between both. This new paper demonstrates that the chaos can be largely circumvented, is essentially localized in a small interval and is only a transitory effect between two non-chaotic "regimes", is not always observed, is limited to relatively small matrices.

CHAOS (operating system)GeographySwiss cheeseApplied mathematicsInterval (mathematics)CartographySSRN Electronic Journal
researchProduct

FILTERING CHAOS: A TECHNIQUE TO ESTIMATE DYNAMICAL AND OBSERVATIONAL NOISE IN NONLINEAR SYSTEMS

2005

Nonlinear dynamical models are frequently used to approximate and predict observed physical, biological and economic systems. Such models will be subject to errors both in the model dynamics, and the observations of the underlying system. In order to improve models, it is necessary to understand the causes of error growth. A complication with chaotic models is that small errors may be amplified by the model dynamics. This paper proposes a technique for estimating levels of both dynamical and observational noise, based on the model drift. The method is demonstrated for a number of models, for cases with both stochastic and nonstochastic dynamical errors. The effect of smoothing or treating …

CHAOS (operating system)Nonlinear systemDynamical systems theoryControl theoryApplied MathematicsModeling and SimulationObservational noiseChaoticStatistical physicsEngineering (miscellaneous)Model dynamicsSmoothingMathematicsInternational Journal of Bifurcation and Chaos
researchProduct

Construction of pseudo-random sequences from chaos

2002

CHAOS (operating system)Pseudorandom number generatorTheoretical computer scienceRandom number generationbusiness.industryTelecommunication securityCryptographybusinessMathematics2000 2nd International Conference. Control of Oscillations and Chaos. Proceedings (Cat. No.00TH8521)
researchProduct

Noise-induced behavioral change driven by transient chaos

2022

We study behavioral change in the context of a stochastic, non-linear consumption model with preference adjusting, interdependent agents. Changes in long-run consumption behavior are modelled as noise induced transitions between coexisting attractors. A particular case of multistability is considered: two fixed points, whose immediate basins have smooth boundaries, coexist with a periodic attractor, with a fractal immediate basin boundary. If a trajectory leaves an immediate basin, it enters a set of complexly intertwined basins for which final state uncertainty prevails. The standard approach to predicting transition events rooted in the stochastic sensitivity function technique due to Mil…

CO-EXISTING ATTRACTORSVDP::Samfunnsvitenskap: 200::Økonomi: 210::Økonometri: 214General MathematicsApplied MathematicsGeneral Physics and AstronomyMULTISTABILITYBEHAVIORAL CHANGESNON-ATTRACTING CHAOTIC SETStatistical and Nonlinear PhysicsSTOCHASTIC DYNAMICSSTOCHASTIC SYSTEMSNON-ATTRACTING CHAOTIC SETSSTATISTICSVDP::Samfunnsvitenskap: 200::Økonomi: 210CHAOTIC SETSDYNAMICAL SYSTEMSNOISE-INDUCED TRANSITIONCRITICAL LINESCONSUMER BEHAVIORSTOCHASTIC MODELSCONFIDENCE REGIONFORECASTINGNOISE-INDUCED TRANSITIONSTRANSIENT CHAOS
researchProduct

A Review of Mathematical and Computational Methods in Cancer Dynamics.

2022

Cancers are complex adaptive diseases regulated by the nonlinear feedback systems between genetic instabilities, environmental signals, cellular protein flows, and gene regulatory networks. Understanding the cybernetics of cancer requires the integration of information dynamics across multidimensional spatiotemporal scales, including genetic, transcriptional, metabolic, proteomic, epigenetic, and multi-cellular networks. However, the time-series analysis of these complex networks remains vastly absent in cancer research. With longitudinal screening and time-series analysis of cellular dynamics, universally observed causal patterns pertaining to dynamical systems, may self-organize in the si…

Cancer Researchinverse problemssystems oncologyFOS: Physical sciencescomplex networksdynamical systemsOther Quantitative Biology (q-bio.OT)Nonlinear Sciences - Chaotic DynamicsalgorithmsQuantitative Biology - Other Quantitative BiologyOncologyFOS: Biological sciencescancerChaotic Dynamics (nlin.CD)complexity scienceinformation theory
researchProduct