On mean-square stability properties of a new adaptive stochastic Runge–Kutta method

A-stability and Stochastic Mean-square Stability∗

This note extends and interprets a result of Saito and Mitsui [SIAM J. Numer. Anal., 33 (1996), pp. 2254–2267] for a method of Milstein. The result concerns mean-square stability on a stochastic differential equation test problem with multiplicative noise. The numerical method reduces to the Theta Method on deterministic problems. Saito and Mitsui showed that the deterministic A-stability prope...

Mean-Square and Asymptotic Stability of the Stochastic Theta Method

Stability analysis of numerical methods for ordinary differential equations (ODEs) is motivated by the question “for what choices of stepsize does the numerical method reproduce the characteristics of the test equation?” We study a linear test equation with a multiplicative noise term, and consider mean-square and asymptotic stability of a stochastic version of the theta method. We extend some ...

A new framework for Mean Square Stability of Stochastic Jump Linear Systems via Optimal Transport

In this paper, we provide a new framework for mean square stability of stochastic jump linear systems via optimal transport. The Wasserstein metric which defines an optimal transport cost between probability density functions enables the stability analysis. Without any assumptions on the nature of the underlying jump process, the convergence of the Wasserstein distance guarantees the mean squar...

Mean square exponential stability of stochastic delay cellular neural networks

The dynamical behaviors of stochastic neural networks have appeared as a novel subject of research and applications, such as optimization, control, and image processing(see [1-12]). Obviously, finding stability criteria for these neural networks becomes an attractive research problem of importance. Some well results have just appeared, for example, in [1-5], for stochastic delayed Hopfield neur...

Mean Square Stability of Impulsive Stochastic Differential Systems