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Moment decay rates of stochastic differential equations with time-varying delay
Author(s) -
Svetlana Janković,
Gorica Pavlović
Publication year - 2010
Publication title -
filomat
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.449
H-Index - 34
eISSN - 2406-0933
pISSN - 0354-5180
DOI - 10.2298/fil1001115j
Subject(s) - mathematics , logarithm , moment (physics) , exponential decay , differential equation , lyapunov function , stochastic differential equation , function (biology) , mathematical analysis , variable (mathematics) , stability (learning theory) , exponential function , physics , classical mechanics , nonlinear system , quantum mechanics , evolutionary biology , machine learning , computer science , nuclear physics , biology
One of the most important questions, especially in applications, is how to choose a decay function in the study of stability for a concrete equation. Motivated by the fact that the coefficients of the considered equation mainly suggest the choice of the decay function, the point of analysis in the paper is to carry out the Lyapunov function approach and to state coercivity conditions dependent on decay in the study of the pth moment stability with a general decay rate for a certain stochastic differential equation with variable time delay. Some criteria including the usual exponential decay are discussed, particularly the ones with a concave decay, special cases of which are polynomial and logarithmic decays. Some consequences and examples are given to illustrate the theory. 2010 Mathematics Subject Classification. 60H10, 60H35. .

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