2009
DOI: 10.1239/jap/1261670692
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Asymptotic Stability of Stochastic Differential Equations Driven by Lévy Noise

Abstract: Using key tools such as Itô's formula for general semimartingales, Kunita's moment estimates for Lévy-type stochastic integrals, and the exponential martingale inequality, we find conditions under which the solutions to the stochastic differential equations (SDEs) driven by Lévy noise are stable in probability, almost surely and moment exponentially stable.

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Cited by 101 publications
(16 citation statements)
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“…Define τ N = inf t : |X n (t)| p + t 0 X n (s) p ds > N as the stopping time. We have to find the p th moment estimates for the above system (for similar formulation see Theorem 4.4 of [2]). For this, let us take the function f (x) = |x| p and apply the Itô's formula (see Theorem 5.1, chapter II of [16], Theorem 4.4.7 of [1], Theorem 4.4 of [31]) to the process X n (t) to obtain,…”
Section: Hypothesis and Localmentioning
confidence: 99%
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“…Define τ N = inf t : |X n (t)| p + t 0 X n (s) p ds > N as the stopping time. We have to find the p th moment estimates for the above system (for similar formulation see Theorem 4.4 of [2]). For this, let us take the function f (x) = |x| p and apply the Itô's formula (see Theorem 5.1, chapter II of [16], Theorem 4.4.7 of [1], Theorem 4.4 of [31]) to the process X n (t) to obtain,…”
Section: Hypothesis and Localmentioning
confidence: 99%
“…A simple calculation gives the extension of the result for the càdlàg local martingale. (σ k (t), X(s)) 2 (ε + s) 2 ds…”
Section: Invariant Measuresmentioning
confidence: 99%
“…It has been a long time since stochastic differential equations (SDEs) started being applied in various areas, including biology [6], physics [4], engineering [16], finance [5]. SDEs are taken as important tools in modeling and simulating real phenomena, the stability of SDEs has been studied widely by mathematicians in different senses, such as stochastically stable, stochastically asymptotically stable, moment exponentially stable, almost surely stable, mean square polynomial stable, see [1,9,15,18]. A systematic introduction of stabilities is provided by Mao in [11].…”
Section: Introductionmentioning
confidence: 99%
“…Kobayashi also studied Itô formula driven by time-changed SDE which is provided under certain conditions as below, where f : R → R is a C 2 function. 1 In light of time-changed Itô formula, recent paper [17] analyzes the SDE driven by time-changed Brownian motion (1.4) dX(t) = k(t, E t , X(t−))dt + f (t, E t , X(t−))dE t + g(t, E t , X(t−))dB Et ,…”
Section: Introductionmentioning
confidence: 99%
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