Search results for " Nonlinear"

showing 10 items of 1224 documents

Three-mode two-boson Jaynes–Cummings model in trapped ions

2006

In this paper, we analyse a two-boson three-mode Jaynes–Cummings model which can be implemented in the context of trapped ions. The symmetries of the Hamiltonian are brought to light and analysed in detail in order to solve the eigenvalue problem. The calculation of the time evolution operator shows the possibility of realizing interesting applications, such as the generation of nonclassical states.

Condensed Matter::Quantum GasesStatistics and ProbabilityPhysicsSettore FIS/02 - Fisica Teorica Modelli E Metodi MatematiciJaynes–Cummings modelsuperposition (mathematics)modesGeneral Physics and AstronomyStatistical and Nonlinear PhysicsQuantum PhysicsSettore FIS/03 - Fisica Della MateriaIonsymbols.namesakeharmonic oscillatorModeling and SimulationQuantum mechanicsQuantum electrodynamicsHomogeneous spacesymbolsHamiltonian (quantum mechanics)Mathematical PhysicsEigenvalues and eigenvectorsBosonJournal of Physics A: Mathematical and Theoretical
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(Regular) pseudo-bosons versus bosons

2012

We discuss in which sense the so-called {\em regular pseudo-bosons}, recently introduced by Trifonov and analyzed in some details by the author, are related to ordinary bosons. We repeat the same analysis also for {\em pseudo-bosons}, and we analyze the role played by certain intertwining operators, which may be bounded or not.

Condensed Matter::Quantum GasesStatistics and ProbabilityQuantum PhysicsHigh Energy Physics::PhenomenologyFOS: Physical sciencesGeneral Physics and AstronomyStatistical and Nonlinear PhysicsMathematical Physics (math-ph)Theoretical physicsModeling and SimulationBounded functionpseudo-bosonsQuantum Physics (quant-ph)Settore MAT/07 - Fisica MatematicaMathematical PhysicsBosonMathematics
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Dynamics of thermally induced optical nonlinearity in GaSe thin slabs

1996

A study of the nonlinear effects shown by thin slabs of GaSe metaled with Au is presented.

Condensed Matter::Quantum Gasesendocrine systemanimal structuresMaterials sciencegenetic structuresbusiness.industryDynamics (mechanics)Physics::OpticsFísicaNonlinear opticsCondensed Matter Physicseye diseasesAtomic and Molecular Physics and OpticsElectronic Optical and Magnetic MaterialsPhysics::Fluid DynamicsCondensed Matter::Soft Condensed MatterOptical nonlinearityOpticsPhysics::Plasma Physicssense organsElectrical and Electronic EngineeringbusinessMicrowave and Optical Technology Letters
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Brownian dynamics of polydisperse colloidal hard spheres: Equilibrium structures and random close packings

1994

Recently we presented a new technique for numerical simulations of colloidal hard-sphere systems and showed its high efficiency. Here, we extend our calculations to the treatment of both 2- and 3-dimensional monodisperse and 3-dimensional polydisperse systems (with sampled finite Gaussian size distribution of particle radii), focusing on equilibrium pair distribution functions and structure factors as well as volume fractions of random close packing (RCP). The latter were determined using in principle the same technique as Woodcock or Stillinger had used. Results for the monodisperse 3-dimensional system show very good agreement compared to both pair distribution and structure factor predic…

Condensed Matter::Soft Condensed MatterPhase transitionDistribution functionMaterials scienceRandom close packVolume fractionBrownian dynamicsThermodynamicsStatistical and Nonlinear PhysicsHard spheresAtomic packing factorStructure factorMathematical PhysicsJournal of Statistical Physics
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Entropy measures, entropy estimators, and their performance in quantifying complex dynamics: Effects of artifacts, nonstationarity, and long-range co…

2017

Entropy measures are widely applied to quantify the complexity of dynamical systems in diverse fields. However, the practical application of entropy methods is challenging, due to the variety of entropy measures and estimators and the complexity of real-world time series, including nonstationarities and long-range correlations (LRC). We conduct a systematic study on the performance, bias, and limitations of three basic measures (entropy, conditional entropy, information storage) and three traditionally used estimators (linear, kernel, nearest neighbor). We investigate the dependence of entropy measures on estimator- and process-specific parameters, and we show the effects of three types of …

Conditional entropyStatistics and ProbabilityDynamical systems theoryComputer scienceEstimatorCondensed Matter Physics01 natural sciencesArticlek-nearest neighbors algorithm03 medical and health sciencesComplex dynamics0302 clinical medicineAutoregressive modelLocal variance0103 physical sciencesStatisticsSettore ING-INF/06 - Bioingegneria Elettronica E InformaticaPreprocessorStatistical physics010306 general physics030217 neurology & neurosurgeryStatistical and Nonlinear PhysicPhysical review. E
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Information-based detection of nonlinear Granger causality in multivariate processes via a nonuniform embedding technique

2010

We present an approach, framed in information theory, to assess nonlinear causality between the subsystems of a whole stochastic or deterministic dynamical system. The approach follows a sequential procedure for nonuniform embedding of multivariate time series, whereby embedding vectors are built progressively on the basis of a minimization criterion applied to the entropy of the present state of the system conditioned to its past states. A corrected conditional entropy estimator compensating for the biasing effect of single points in the quantized hyperspace is used to guarantee the existence of a minimum entropy rate at which to terminate the procedure. The causal coupling is detected acc…

Conditional entropyStatistics and ProbabilityStochastic ProcessesInformation transferEntropyInformation TheoryEstimatorElectroencephalographyCondensed Matter PhysicInformation theoryCardiovascular Physiological PhenomenaNonlinear DynamicsMultivariate AnalysisStatisticsSettore ING-INF/06 - Bioingegneria Elettronica E InformaticaRespiratory Physiological PhenomenaEntropy (information theory)Applied mathematicsEmbeddingPredictabilityTime seriesMathematicsStatistical and Nonlinear Physic
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TOPOLOGICAL PARTIAL *-ALGEBRAS: BASIC PROPERTIES AND EXAMPLES

1999

Let [Formula: see text] be a partial *-algebra endowed with a topology τ that makes it into a locally convex topological vector space [Formula: see text]. Then [Formula: see text] is called a topological partial *-algebra if it satisfies a number of conditions, which all amount to require that the topology τ fits with the multiplier structure of [Formula: see text]. Besides the obvious cases of topological quasi *-algebras and CQ*-algebras, we examine several classes of potential topological partial *-algebras, either function spaces (lattices of Lp spaces on [0, 1] or on ℝ, amalgam spaces), or partial *-algebras of operators (operators on a partial inner product space, O*-algebras).

Connected spaceTopological algebraTopological tensor productFOS: Physical sciencesStatistical and Nonlinear PhysicsMathematical Physics (math-ph)Topological spaceTopologyTopological vector spaceHomeomorphismSettore MAT/05 - Analisi MatematicaLocally convex topological vector spaceMathematical PhysicTopological ringSettore MAT/07 - Fisica MatematicaMathematical PhysicsMathematicsReviews in Mathematical Physics
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Fibre Bundle for Spin and Charge in General Relativity

2000

The Lorentzian and spin structures of general relativity are shown to allow a natural extension, by means of which the set of possible electromagnetic bundles is linked to the topology and geometry of the underlying causal structure. Further, both the Dirac operator and the electromagnetic potential are obtainable from a single linear connection 1-form.

Connection (fibred manifold)PhysicsGeneral relativityStatistical and Nonlinear PhysicsFour-forceDirac operatorMathematics of general relativitysymbols.namesakeTheory of relativityClassical mechanicssymbolsFiber bundleMathematical PhysicsCausal fermion systemCommunications in Mathematical Physics
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Sensitivity analysis of consumption cycles

2018

We study the special case of a nonlinear stochastic consumption model taking the form of a 2-dimensional, non-invertible map with an additive stochastic component. Applying the concept of the stochastic sensitivity function and the related technique of confidence domains, we establish the conditions under which the system's complex consumption attractor is likely to become observable. It is shown that the level of noise intensities beyond which the complex consumption attractor is likely to be observed depends on the weight given to past consumption in an individual's preference adjustment.

Consumption (economics)Applied Mathematics05 social sciencesGeneral Physics and AstronomyStatistical and Nonlinear PhysicsObservable01 natural sciences010305 fluids & plasmasNoiseNonlinear system0502 economics and business0103 physical sciencesAttractorEconometricsSensitivity (control systems)050207 economicsSpecial casePreference (economics)Mathematical PhysicsMathematicsChaos: An Interdisciplinary Journal of Nonlinear Science
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Transitions in consumption behaviors in a peer-driven stochastic consumer network

2019

Abstract We study transition phenomena between attractors occurring in a stochastic network of two consumers. The consumption of each individual is strongly influenced by the past consumption of the other individual, while own consumption experience only plays a marginal role. From a formal point of view we are dealing with a special case of a nonlinear stochastic consumption model taking the form of a 2-dimensional non-invertible map augmented by additive and/or parametric noise. In our investigation of the stochastic transitions we rely on a mixture of analytical and numerical techniques with a central role given to the concept of the stochastic sensitivity function and the related techni…

Consumption (economics)General MathematicsApplied MathematicsGeneral Physics and AstronomyStatistical and Nonlinear PhysicsFixed point01 natural sciencesNoise (electronics)010305 fluids & plasmasNonlinear system0103 physical sciencesAttractorStatistical physicsSensitivity (control systems)Special case010301 acousticsMathematicsParametric statisticsChaos, Solitons & Fractals
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