Search results for "Probability-generating function"

showing 3 items of 3 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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Analysis of random walks on a hexagonal lattice

2019

We consider a discrete-time random walk on the nodes of an unbounded hexagonal lattice. We determine the probability generating functions, the transition probabilities and the relevant moments. The convergence of the stochastic process to a 2-dimensional Brownian motion is also discussed. Furthermore, we obtain some results on its asymptotic behavior making use of large deviation theory. Finally, we investigate the first-passage-time problem of the random walk through a vertical straight-line. Under suitable symmetry assumptions we are able to determine the first-passage-time probabilities in a closed form, which deserve interest in applied fields.

Random walk01 natural sciences010104 statistics & probabilityModerate deviations0103 physical sciencesFOS: MathematicsHexagonal latticeHexagonal latticeProbability-generating functionStatistical physics0101 mathematics010306 general physicsBrownian motionMathematicsStochastic processApplied MathematicsProbability (math.PR)Random walkSymmetry (physics)Random walk; Hexagonal lattice; Probability generating function; Large deviations; Moderate deviations; First-passage timeSettore MAT/06 - Probabilita' e Statistica MatematicaLarge deviationsProbability generating functionLarge deviations theoryFirst-hitting-time modelMathematics - Probability60J15 60F10 82C41First-passage time
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Random time-changes and asymptotic results for a class of continuous-time Markov chains on integers with alternating rates

2021

We consider continuous-time Markov chains on integers which allow transitions to adjacent states only, with alternating rates. We give explicit formulas for probability generating functions, and also for means, variances and state probabilities of the random variables of the process. Moreover we study independent random time-changes with the inverse of the stable subordinator, the stable subordinator and the tempered stable subodinator. We also present some asymptotic results in the fashion of large deviations. These results give some generalizations of those presented in Di Crescenzo A., Macci C., Martinucci B. (2014).

Statistics and ProbabilityPure mathematicsSubordinatormoderate deviationsInversefractional processfractional process; large deviations; moderate deviations; tempered stable subordinatorlarge deviationsChain (algebraic topology)FOS: MathematicsProbability-generating function60F10 60J27 60G22 60G52MathematicsMarkov chainlcsh:T57-57.97lcsh:MathematicsProbability (math.PR)State (functional analysis)tempered stable subordinatorlcsh:QA1-939Modeling and SimulationSettore MAT/06lcsh:Applied mathematics. Quantitative methodsLarge deviations theoryStatistics Probability and UncertaintyRandom variableMathematics - Probability
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