Search results for "Mathematical analysis"

showing 10 items of 2409 documents

Juggler's exclusion process

2012

Juggler's exclusion process describes a system of particles on the positive integers where particles drift down to zero at unit speed. After a particle hits zero, it jumps into a randomly chosen unoccupied site. We model the system as a set-valued Markov process and show that the process is ergodic if the family of jump height distributions is uniformly integrable. In a special case where the particles jump according to a set-avoiding memoryless distribution, the process reaches its equilibrium in finite nonrandom time, and the equilibrium distribution can be represented as a Gibbs measure conforming to a linear gravitational potential.

Statistics and Probabilityset-valued Markov processmaximum entropy60K35 82C41General Mathematics82C41FOS: Physical sciencesMarkov process01 natural sciencespositive recurrencesymbols.namesakeGravitational potentialMarkov renewal process0103 physical sciencesjuggling patternFOS: MathematicsErgodic theory0101 mathematicsGibbs measureMathematical PhysicsMathematicsDiscrete mathematicsnoncolliding random walkProbability (math.PR)ta111010102 general mathematicsErgodicityMathematical analysisExclusion processMathematical Physics (math-ph)Gibbs measureDistribution (mathematics)set-avoiding memoryless distribution60K35Jumpsymbolsergodicity010307 mathematical physicsStatistics Probability and UncertaintyMathematics - Probability
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Tests for real and complex unit roots in vector autoregressive models

2014

The article proposes new tests for the number of real and complex unit roots in vector autoregressive models. The tests are based on the eigenvalues of the sample companion matrix. The limiting distributions of the eigenvalues converging to the unit eigenvalues turn out to be of a non-standard form and expressible in terms of Brownian motions. The tests are defined such that the null distributions related to eigenvalues +/-1 are the same. The tests for the unit eigenvalues with nonzero imaginary part are defined independently of the angular frequency. When the tests are adjusted for deterministic terms, the null distributions usually change. Critical values are tabulated via simulations. Al…

Statistics and Probabilityta112Numerical AnalysisAngular frequencyCointegrationMathematical analysisNull (mathematics)Companion matrixAutoregressive modelStatistics Probability and UncertaintyUnit (ring theory)Eigenvalues and eigenvectorsBrownian motionMathematicsJournal of Multivariate Analysis
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Characteristic Functions and the Central Limit Theorem

2020

The main goal of this chapter is the central limit theorem (CLT) for sums of independent random variables (Theorem 15.37) and for independent arrays of random variables (Lindeberg–Feller theorem, Theorem 15.43). For the latter, we prove only that one of the two implications (Lindeberg’s theorem) that is of interest in the applications.

Statistics::TheoryFactor theoremPure mathematicsArzelà–Ascoli theoremPicard–Lindelöf theoremMathematical analysisDanskin's theoremBrouwer fixed-point theoremSqueeze theoremMathematicsCarlson's theoremMean value theorem
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Riemann-Type Definition of the Improper Integrals

2004

Riemann-type definitions of the Riemann improper integral and of the Lebesgue improper integral are obtained from McShane's definition of the Lebesgue integral by imposing a Kurzweil-Henstock's condition on McShane's partitions.

Statistics::TheoryMathematics::Functional AnalysisMathematics::Dynamical SystemsStatistics::ApplicationsGeneral MathematicsMathematical analysisMathematics::Classical Analysis and ODEsRiemann integralType (model theory)Lebesgue integrationMcShane's partitionRiemann hypothesissymbols.namesakeKurzweil-Henstock's partitionOrdinary differential equationImproper integralsymbolsMathematicsCzechoslovak Mathematical Journal
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Steady-state dynamic response of various hysteretic systems endowed with fractional derivative elements

2019

In this paper, the steady-state dynamic response of hysteretic oscillators comprising fractional derivative elements and subjected to harmonic excitation is examined. Notably, this problem may arise in several circumstances, as for instance, when structures which inherently exhibit hysteretic behavior are supplemented with dampers or isolators often modeled by employing fractional terms. The amplitude of the steady-state response is determined analytically by using an equivalent linearization approach. The procedure yields an equivalent linear system with stiffness and damping coefficients which are related to the amplitude of the response, but also, to the order of the fractional derivativ…

Steady state (electronics)Applied MathematicsMechanical EngineeringMathematical analysisLinear systemAerospace EngineeringBilinear interpolationEquations of motionEquivalent linearizationOcean EngineeringFractional derivative01 natural sciencesHysteretic systemDamperFractional calculusNonlinear systemHysteresisControl and Systems Engineering0103 physical sciencesElectrical and Electronic Engineering010301 acousticsSteady-state responseMathematics
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Oxygen Consuming Regions in EMT60/Ro Multicellular Tumour Spheroids Determined by Nonlinear Regression Analysis of Experimental PO2 Profiles

1987

Malignant cells can be studied in vitro, in a tumour-like microenvironment, by growing multicellular tumour spheroids in culture (Sutherland, McCredie and Inch, 1971). Franko and Sutherland (1979) utilized diffusion theory to explain the viable rim thicknesses of spheroids measured histologically. Without PO2 profiles, however, an unequivocal interpretation of their results was not possible. Systematic studies of the PO2 profiles in spheroids have since been made with oxygen microelectrodes by several groups (Carlsson et al., 1979; Kaufman et al., 1981; Mueller-Klieser and Sutherland, 1982a,b). Based on these measurements, new analyses utilizing diffusion theory are being developed to chara…

Steady stateMaterials scienceDiffusion equationStereochemistryMathematical analysisSpheroidOxygen transportRadiusDiffusion (business)Fick's laws of diffusionNonlinear regression
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A class of stochastic differential equations with non-Lipschitzian coefficients: pathwise uniqueness and no explosion

2003

Abstract A new result for the pathwise uniqueness of solutions of stochastic differential equations with non-Lipschitzian coefficients is established. Furthermore, we prove that the solution has no explosion under the growth ξlogξ. To cite this article: S. Fang, T. Zhang, C. R. Acad. Sci. Paris, Ser. I 337 (2003).

Stochastic differential equationClass (set theory)Probability theoryContinuous functionDifferential equationMathematical analysisApplied mathematicsGeneral MedicineUniquenessMathematicsComptes Rendus Mathematique
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Ito and Stratonovich integrals for delta-correlated processes

1993

Abstract In this paper the generalization of the Itd and Stratonovich integrals for the case of non-linear systems excited by parametric delta-correlated processes is presented. This generalization gives a new light on the corrective coefficients in the stochastic differential equations driven by parametric delta-correlated processes. The full significance of these corrective terms is evidenced by means of some examples.

Stochastic differential equationNuclear Energy and EngineeringGeneralizationMechanical EngineeringMathematical analysisAerospace EngineeringOcean EngineeringStatistical and Nonlinear PhysicsCondensed Matter PhysicsCivil and Structural EngineeringMathematicsParametric statistics
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Stability under influence of noise with regulated periodicity

2009

A very simple stochastic differential equation with quasi‐periodical multiplicative noise is investigated analytically. For fixed noise intensity the system can be stable at high noise periodicity and unstable at low noise periodicity.

Stochastic differential equationsymbols.namesakeStochastic resonanceGaussian noiseQuantum mechanicsQuantum noiseMathematical analysissymbolsShot noiseStability (probability)Multiplicative noiseNoise (radio)Mathematics
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Mean-field games and two-point boundary value problems

2014

A large population of agents seeking to regulate their state to values characterized by a low density is considered. The problem is posed as a mean-field game, for which solutions depend on two partial differential equations, namely the Hamilton-Jacobi-Bellman equation and the Fokker-Plank-Kolmogorov equation. The case in which the distribution of agents is a sum of polynomials and the value function is quadratic is considered. It is shown that a set of ordinary differential equations, with two-point boundary value conditions, can be solved in place of the more complicated partial differential equations associated with the problem. The theory is illustrated by a numerical example.

Stochastic partial differential equationDifferential equationMathematical analysisFree boundary problemFirst-order partial differential equationBoundary value problemHyperbolic partial differential equationNumerical partial differential equationsSeparable partial differential equationMathematics53rd IEEE Conference on Decision and Control
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