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Moments and Correlation Functions of Solutions of a Stochastic Differential Equation
Journal of Mathematical Physics, 1970This paper shows how to obtain exact, closed-form expressions for various moments and correlation functions of the solutions of the stochastic, ordinary differential equation d2udz2+β02[1+ηT(z)]u=0,where T(z) is the so-called ``random telegraph'' wave and β02 and η are positive real constants.
McKenna, J., Morrison, J. A.
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Asymptotic Behavior of the Solutions of Stochastic Functional-Differential Equations
Journal of Mathematical ScienceszbMATH Open Web Interface contents unavailable due to conflicting licenses.
Stanzhytskyi, O. M. +2 more
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Malliavin Calculus for Degenerate Stochastic Functional Differential Equations
Acta Applicandae Mathematicae, 2007zbMATH Open Web Interface contents unavailable due to conflicting licenses.
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CONJUGATION OF FLOWS FOR STOCHASTIC AND RANDOM FUNCTIONAL DIFFERENTIAL EQUATIONS
Stochastics and Dynamics, 2001The purpose of this paper is to transform a stochastic functional differential equation driven by a continuous helix spatial semimartingale of Kunita type into a random functional differential equation by using a stationary bijective random process.
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Approximations for expectations of functionals of solutions to stochastic differential equations
Monte Carlo Methods and Applications, 2007Approximate evaluation of mathematical expectations of nonlinear functionals of solutions to stochastic differential equations is considered. The approach based on interpolation of the coefficient functions of the equation is extended to the case of equations including integrals with respect to Poisson random measure and stochastic Wiener integral.
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Stability of impulsive stochastic functional differential equations with delays
Applied Mathematics LetterszbMATH Open Web Interface contents unavailable due to conflicting licenses.
Jingxian Guo, Shuihong Xiao, Jianli Li
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Stochastic Functional (Partial) Differential Equations
2013In this chapter we investigate Harnack/shift Harnack inequalities and derivative formulas for stochastic functional differential equations. In this case, the strong or mild solution is no longer Markovian. These inequalities and formulas are therefore established for the semigroup associated with the functional (or segment) solutions.
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