Search results for "Stochastic"

showing 10 items of 1018 documents

Pseudo-force method for a stochastic analysis of nonlinear systems

1996

Nonlinear systems, driven by external white noise input processes and handled by means of pseudo-force theory, are transformed through simple coordinate transformation to quasi-linear systems. By means of Itô stochastic differential calculus for parametric processes, a finite hierarchy for the moment equations of these systems can be exactly obtained. Applications of this procedure to the first-order differential equation with cubic nonlinearity and to the Duffing oscillator show the versatility of the proposed method. The accuracy of the proposed procedure improves by making use of the classical equivalent linearization technique.

Differential equationStochastic processNumerical analysisMechanical EngineeringMathematical analysisDuffing equationAerospace EngineeringStatistical and Nonlinear PhysicsDifferential calculusOcean EngineeringWhite noiseCondensed Matter PhysicCondensed Matter PhysicsNonlinear systemNuclear Energy and EngineeringLinearizationMathematicsStatistical and Nonlinear PhysicCivil and Structural Engineering
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Levy targeting and the principle of detailed balance

2011

We investigate confining mechanisms for Lévy flights under premises of the principle of detailed balance. In this case, the master equation of the jump-type process admits a transformation to the Lévy-Schrödinger semigroup dynamics akin to a mapping of the Fokker-Planck equation into the generalized diffusion equation. This sets a correspondence between above two stochastic dynamical systems, within which we address a (stochastic) targeting problem for an arbitrary stability index μ ε (0,2) of symmetric Lévy drivers. Namely, given a probability density function, specify the semigroup potential, and thence the jump-type dynamics for which this PDF is actually a long-time asymptotic (target) …

Diffusion equationDynamical systems theoryMovementNormal DistributionFOS: Physical sciencesDiffusionOscillometryMaster equationFOS: MathematicsApplied mathematicsCondensed Matter - Statistical MechanicsMathematical PhysicsMathematicsStochastic ProcessesModels StatisticalStatistical Mechanics (cond-mat.stat-mech)SemigroupStochastic processPhysicsProbability (math.PR)Mathematical analysisCauchy distributionDetailed balanceMathematical Physics (math-ph)Markov ChainsTransformation (function)ThermodynamicsAlgorithmsMathematics - Probability
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Generalized Wiener Process and Kolmogorov's Equation for Diffusion induced by Non-Gaussian Noise Source

2005

We show that the increments of generalized Wiener process, useful to describe non-Gaussian white noise sources, have the properties of infinitely divisible random processes. Using functional approach and the new correlation formula for non-Gaussian white noise we derive directly from Langevin equation, with such a random source, the Kolmogorov's equation for Markovian non-Gaussian process. From this equation we obtain the Fokker-Planck equation for nonlinear system driven by white Gaussian noise, the Kolmogorov-Feller equation for discontinuous Markovian processes, and the fractional Fokker-Planck equation for anomalous diffusion. The stationary probability distributions for some simple cas…

Diffusion equationStatistical Mechanics (cond-mat.stat-mech)General MathematicsMathematical analysisGeneral Physics and AstronomyFOS: Physical sciencesOrnstein–Uhlenbeck processCondensed Matter - Soft Condensed MatterGaussian random fieldLangevin equationsymbols.namesakeStochastic differential equationAdditive white Gaussian noiseGaussian noisesymbolsProcess and Kolmogorov'sSoft Condensed Matter (cond-mat.soft)Fokker–Planck equationCondensed Matter - Statistical MechanicsMathematics
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Il Filtro Integrale Auto-Regressivo Continuo (I-ARC) per l’Analisi di Strutture Esposte al Vento

2010

In questo studio viene proposto un metodo per la rappresentazione di processi aleatori Gaussiani e stazionari, utile a modellare la turbolenza della velocità del vento, introducendo la versione integrale del modello auto-regressivo discreto già proposto in precedenza. La rappresentazione di un processo aleatorio di assegnata funzione di correlazione viene condotta integrando un’equazione integro-differenziale in cui viene coinvolto un nucleo, che rappresenta la memoria del processo, in presenza di un rumore bianco Gaussiano. La soluzione dell’equazione rappresenta un campione del processo aleatorio della turbolenza della velocità del vento. E’ stato mostrato che il modello I-ARC fornisce, n…

Digital simulation Autoregressive-Continuous Filters Gaussian Processes Stochastic Differential Calculus.Settore ICAR/08 - Scienza Delle Costruzioni
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Scaling properties of topologically random channel networks

1996

Abstract The analysis deals with the scaling properties of infinite topologically random channel networks (ITRNs) fast introduced by Shreve (1967, J. Geol. , 75: 179–186) to model the branching structure of rivers as a random process. The expected configuration of ITRNs displays scaling behaviour only asymptotically, when the ruler (or ‘yardstick’) length is reduced to a very small extent. The random model can also reproduce scaling behaviour at larger ruler lengths if network magnitude and diameter are functionally related according to a reported deterministic rule. This indicates that subsets of rrRNs can be scaling and, although rrRNs are asymptotically plane-filling due to the law of la…

Discrete mathematicsDimension (vector space)YardstickLaw of large numbersStochastic processStructure (category theory)Magnitude (mathematics)Statistical physicsScalingWater Science and TechnologyMathematicsCommunication channelJournal of Hydrology
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Random analysis of geometrically non-linear FE modelled structures under seismic actions

1990

Abstract In the framework of the finite element (FE) method, by using the “total Lagrangian approach”, the stochastic analysis of geometrically non-linear structures subjected to seismic inputs is performed. For this purpose the equations of motion are written with the non-linear contribution in an explicit representation, as pseudo-forces, and with the ground motion modelled as a filtered non-stationary white noise Gaussian process, using a Tajimi-Kanai-like filter. Then equations for the moments of the response are obtained by extending the classical Ito's rule to vectors of random processes. The equations of motion, and the equations for moments, obtained here, show a perfect formal simi…

Discrete mathematicsHermite polynomialsSimilarity (geometry)Random excitation; non-linear structuresStochastic processMathematical analysisEquations of motionBuilding and ConstructionWhite noiseFinite element methodRandom excitationNonlinear systemsymbols.namesakesymbolsnon-linear structuresSafety Risk Reliability and QualityGaussian processCivil and Structural EngineeringMathematics
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On the optimal approximation rate of certain stochastic integrals

2010

AbstractGiven an increasing function H:[0,1)→[0,∞) and An(H)≔infτ∈Tn(∑i=1n∫ti−1ti(ti−t)H(t)2dt)12, where Tn≔{τ=(ti)i=0n:0=t0<t1<⋯<tn=1}, we characterize the property An(H)≤cn, and give conditions for An(H)≤cnβ and An(H)≥1cnβ for β∈(0,1), both in terms of integrability properties of H. These results are applied to the approximation of stochastic integrals.

Discrete mathematicsMathematics(all)Numerical AnalysisRegular sequencesGeneral MathematicsApplied MathematicsStochastic integralsNon linear approximationFunction (mathematics)CombinatoricsNon-linear approximationFunction compositionAnalysisMathematicsJournal of Approximation Theory
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Probabilistic Reversible Automata and Quantum Automata

2002

To study relationship between quantum finite automata and probabilistic finite automata, we introduce a notion of probabilistic reversible automata (PRA, or doubly stochastic automata). We find that there is a strong relationship between different possible models of PRA and corresponding models of quantum finite automata. We also propose a classification of reversible finite 1-way automata.

Discrete mathematicsProbabilistic finite automataNested wordComputer scienceTimed automatonω-automatonNonlinear Sciences::Cellular Automata and Lattice GasesMobile automatonAutomatonStochastic cellular automatonDeterministic finite automatonDFA minimizationContinuous spatial automatonAutomata theoryQuantum finite automataNondeterministic finite automatonComputer Science::Formal Languages and Automata TheoryQuantum cellular automaton
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Stochastic differential equations with coefficients in Sobolev spaces

2010

We consider It\^o SDE $\d X_t=\sum_{j=1}^m A_j(X_t) \d w_t^j + A_0(X_t) \d t$ on $\R^d$. The diffusion coefficients $A_1,..., A_m$ are supposed to be in the Sobolev space $W_\text{loc}^{1,p} (\R^d)$ with $p>d$, and to have linear growth; for the drift coefficient $A_0$, we consider two cases: (i) $A_0$ is continuous whose distributional divergence $\delta(A_0)$ w.r.t. the Gaussian measure $\gamma_d$ exists, (ii) $A_0$ has the Sobolev regularity $W_\text{loc}^{1,p'}$ for some $p'>1$. Assume $\int_{\R^d} \exp\big[\lambda_0\bigl(|\delta(A_0)| + \sum_{j=1}^m (|\delta(A_j)|^2 +|\nabla A_j|^2)\bigr)\big] \d\gamma_d0$, in the case (i), if the pathwise uniqueness of solutions holds, then the push-f…

Discrete mathematicsPure mathematicsOrnstein–Uhlenbeck semigroupLebesgue measureSobolev space coefficientsProbability (math.PR)Density60H10 (Primary) 34F05 (Secondary) 60J60 37C10Density estimatePathwise uniquenessGaussian measureLipschitz continuitySobolev spaceStochastic differential equationStochastic flowsGaussian measureBounded functionFOS: Mathematics: Mathematics [G03] [Physical chemical mathematical & earth Sciences]Vector fieldUniqueness: Mathématiques [G03] [Physique chimie mathématiques & sciences de la terre]AnalysisMathematics - ProbabilityMathematics
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Quadratic variation of martingales in Riesz spaces

2014

We derive quadratic variation inequalities for discrete-time martingales, sub- and supermartingales in the measure-free setting of Riesz spaces. Our main result is a Riesz space analogue of Austinʼs sample function theorem, on convergence of the quadratic variation processes of martingales http://www.journals.elsevier.com/journal-of-mathematical-analysis-and-applications/ http://dx.doi.org/10.1016/j.jmaa.2013.08.037 National Research Foundation of South Africa (Grant specific unique reference number (UID) 85672) and by GNAMPA of Italy (U 2012/000574 20/07/2012 and U 2012/000388 09/05/2012)

Discrete mathematicsPure mathematicsRiesz potentialRiesz representation theoremApplied MathematicsmartingaleRiesz spaceRiesz spacevector latticeQuadratic variationquadratic variationM. Riesz extension theoremSettore MAT/05 - Analisi MatematicaAustin’s theorem Martingale Measure-free stochastic processes Quadratic variation Riesz space Vector latticemeasure-free stochastic processesAustinʼs theoremMartingale (probability theory)AnalysisMathematics
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