Search results for "Mathematica"

showing 10 items of 7971 documents

Stationary and non-stationary probability density function for non-linear oscillators

1997

A method for the evaluation of the stationary and non-stationary probability density function of non-linear oscillators subjected to random input is presented. The method requires the approximation of the probability density function of the response in terms of C-type Gram-Charlier series expansion. By applying the weighted residual method, the Fokker-Planck equation is reduced to a system of non-linear first order ordinary differential equations, where the unknowns are the coefficients of the series expansion. Furthermore, the relationships between the A-type and C-type Gram-Charlier series coefficient are derived.

Stationary distributionCharacteristic function (probability theory)Applied MathematicsMechanical EngineeringMathematical analysisProbability density functionStationary sequencestochastic non-linear dynamics; Gram-Charlier expansions; approximate probability density functionGram-Charlier expansionsMechanics of Materialsstochastic non-linear dynamicsProbability distributionProbability-generating functionapproximate probability density functionSeries expansionRandom variableMathematics
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Non-Gaussian probability density function of SDOF linear structures under wind actions

1998

Abstract Wind velocity is usually analytically described adding a static mean term to a zero mean fluctuation stationary process. The corresponding aerodynamic alongwind force acting on a single degree of freedom (SDOF) structure can be considered as a sum of three terms proportional to the mean wind velocity, to the product between mean and fluctuating part of the wind velocity and to the square power of the fluctuating wind velocity, respectively. The latter term, often neglected in the literature, is responsible for the non-Gaussian behaviour of the response. In this paper a method for the evaluation of the stationary probability density function of SDOF structures subjected to non-Gauss…

Stationary processStationary distributionSeries (mathematics)Renewable Energy Sustainability and the EnvironmentMechanical EngineeringGaussianMathematical analysisProbability density functionWind speedAerodynamic forcesymbols.namesakesymbolsSeries expansionCivil and Structural EngineeringMathematicsAlongwind response; Probability density function; Non-Gaussian stochastic analysis
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Statistical mechanics and thermodynamics of complex systems

2003

An unified thermodynamical framework based in the use of a generalized Massieu-Planck thermodynamic potential is proposed and a new formulation of Boltzmann-Gibbs Statistical Mechanics is established. Under this philosophy a generalization of (classical) Boltzmann-Gibbs thermostatistics is suggested and connected to recent nonextensive statistics formulations. This is accomplished by defining a convenient squeezing function which restricts among the collections of Boltzmann-Gibbs configurations of the complete equilibrium closure. The formalism embodies Beck-Cohen superstatistics and a direct connection with the nonlinear kinetic theory due to Kaniadakis is provided, being the treatment pre…

Statistical Mechanics (cond-mat.stat-mech)82B03; 82C03Condensed Matter::Statistical MechanicsFOS: Physical sciences82C0382B03Mathematical Physics (math-ph)Mathematical PhysicsCondensed Matter - Statistical Mechanics
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On the geometry of the characteristic class of a star product on a symplectic manifold

2001

The characteristic class of a star product on a symplectic manifold appears as the class of a deformation of a given symplectic connection, as described by Fedosov. In contrast, one usually thinks of the characteristic class of a star product as the class of a deformation of the Poisson structure (as in Kontsevich's work). In this paper, we present, in the symplectic framework, a natural procedure for constructing a star product by directly quantizing a deformation of the symplectic structure. Basically, in Fedosov's recursive formula for the star product with zero characteristic class, we replace the symplectic structure by one of its formal deformations in the parameter $\hbar$. We then s…

Statistical and Nonlinear PhysicsGeometrySymplectic representationSymplectic matrixSymplectic vector spaceMathematics - Quantum AlgebraFOS: MathematicsQuantum Algebra (math.QA)SymplectomorphismMoment mapMathematics::Symplectic GeometryMathematical PhysicsSymplectic geometryQuantum cohomologySymplectic manifoldMathematics
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Finite-size scaling analysis of the ?4 field theory on the square lattice

1986

Monte-Carlo calculations are performed for the model Hamiltonian ℋ = ∑i[(r/2)Φ 2(i)+(u/4)/gF4(i)]+∑ (C/2)[Φ (i)−Φ(j)]2 for various values of the parametersr, u, C in the crossover region from the Ising limit (r→-∞,u+∞) to the displacive limit (r=0). The variableφ(i) is a scalar continuous spin variable which can lie in the range-∞<φ(i)<+∞, for each lattice site (i).φ(i) is a priori selected proportional to the single-site probability in our Monte Carlo algorithm. The critical line is obtained in very good agreement with other previous approaches. A decrease of apparent critical exponents, deduced from a finite-size scaling analysis, is attributed to a crossover toward mean-field values at t…

Statistical and Nonlinear PhysicsSquare latticesymbols.namesakeMean field theoryCritical lineQuantum mechanicsLattice (order)symbolsIsing modelHamiltonian (quantum mechanics)Critical exponentScalingMathematical PhysicsMathematicsJournal of Statistical Physics
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Atypical transistor-based chaotic oscillators: Design, realization, and diversity

2017

In this paper, we show that novel autonomous chaotic oscillators based on one or two bipolar junction transistors and a limited number of passive components can be obtained via random search with suitable heuristics. Chaos is a pervasive occurrence in these circuits, particularly after manual adjustment of a variable resistor placed in series with the supply voltage source. Following this approach, 49 unique circuits generating chaotic signals when physically realized were designed, representing the largest collection of circuits of this kind to date. These circuits are atypical as they do not trivially map onto known topologies or variations thereof. They feature diverse spectra and predom…

Statistical and Nonlinear Physics; Mathematical Physics; Physics and Astronomy (all); Applied MathematicsChaoticGeneral Physics and AstronomyHardware_PERFORMANCEANDRELIABILITYInductor01 natural sciencesSynchronization010305 fluids & plasmaslaw.inventionPhysics and Astronomy (all)Computer Science::Emerging TechnologiesControl theorylaw0103 physical sciencesAttractorHardware_INTEGRATEDCIRCUITSMathematical Physic010306 general physicsMathematical PhysicsMathematicsElectronic circuitApplied MathematicsTransistorStatistical and Nonlinear Physicsvisual_artElectronic componentSettore ING-INF/06 - Bioingegneria Elettronica E Informaticavisual_art.visual_art_mediumResistorHardware_LOGICDESIGNStatistical and Nonlinear Physic
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Transitions between imperfectly ordered crystalline structures: A phase switch Monte Carlo study

2012

A model for two-dimensional colloids confined laterally by ``structured boundaries'' (i.e., ones that impose a periodicity along the slit) is studied by Monte Carlo simulations. When the distance $D$ between the confining walls is reduced at constant particle number from an initial value ${D}_{0}$, for which a crystalline structure commensurate with the imposed periodicity fits, to smaller values, a succession of phase transitions to imperfectly ordered structures occur. These structures have a reduced number of rows parallel to the boundaries (from $n$ to $n\ensuremath{-}1$ to $n\ensuremath{-}2$, etc.) and are accompanied by an almost periodic strain pattern, due to ``soliton staircases'' …

Statistical ensemblePhase transitionMathematical optimizationStatistical Mechanics (cond-mat.stat-mech)Monte Carlo methodPhase (waves)Thermodynamic integrationFOS: Physical sciencesStatistical mechanicsOrders of magnitude (time)Statistical physicsEnergy (signal processing)Condensed Matter - Statistical MechanicsMathematics
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Discussion of "modern statistics of spatial point processes"

2007

The paper ‘Modern statistics for spatial point processes' by Jesper Møller and Rasmus P. Waagepetersen is based on a special invited lecture given by the authors at the 21st Nordic Conference on Mathematical Statistics, held at Rebild, Denmark, in June 2006. At the conference, Antti Penttinen and Eva B. Vedel Jensen were invited to discuss the paper. We here present the comments from the two invited discussants and from a number of other scholars, as well as the authors' responses to these comments. Below Figure 1, Figure 2, etc., refer to figures in the paper under discussion, while Figure A, Figure B, etc., refer to figures in the current discussion. All numbered sections and formulas ref…

Statistics and Probability010104 statistics & probabilityPoint (typography)[MATH.MATH-ST]Mathematics [math]/Statistics [math.ST]010102 general mathematicsStatisticsMathematical statistics[STAT.TH]Statistics [stat]/Statistics Theory [stat.TH]0101 mathematicsStatistics Probability and Uncertainty01 natural sciencesPoint processMathematics
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Second‐order analysis of marked inhomogeneous spatiotemporal point processes: Applications to earthquake data

2018

To analyse interactions in marked spatio-temporal point processes (MSTPPs), we introduce marked second-order reduced moment measures and K-functions for inhomogeneous second-order intensity reweigh ...

Statistics and Probability05 social sciencesMathematical statistics01 natural sciencesPoint processMoment (mathematics)010104 statistics & probabilitySecond order analysis0502 economics and businessStatistical physics0101 mathematicsStatistics Probability and UncertaintyIntensity (heat transfer)050205 econometrics MathematicsScandinavian Journal of Statistics
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Statistics of nonlinear stochastic dynamical systems under Lévy noises by a convolution quadrature approach

2010

This paper describes a novel numerical approach to find the statistics of the non-stationary response of scalar non-linear systems excited by L\'evy white noises. The proposed numerical procedure relies on the introduction of an integral transform of Wiener-Hopf type into the equation governing the characteristic function. Once this equation is rewritten as partial integro-differential equation, it is then solved by applying the method of convolution quadrature originally proposed by Lubich, here extended to deal with this particular integral transform. The proposed approach is relevant for two reasons: 1) Statistics of systems with several different drift terms can be handled in an efficie…

Statistics and Probability65R10 65D32 60H15 65C30PACS: 02.50.FzPartial differential equationDynamical systems theoryGeneral Physics and AstronomyStatistical and Nonlinear Physics05.45.-aWhite noise02.30.UuIntegral transformDifferential operatorFractional calculusQuadrature (mathematics)Nonlinear systemModeling and SimulationStatisticsSettore ICAR/08 - Scienza Delle CostruzioniCondensed Matter - Statistical MechanicsMathematical PhysicsMathematics
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