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Exponential Asymptotic Stability of Linear Ito-Volterra Equation with Damped Stochastic Perturbations
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John A. D. Appleby, Dublin City University, Ireland Alan Freeman, Dublin City University, Ireland |
Abstract
This paper studies the convergence rate of
solutions of the linear It^o - Volterra equation
begin{equation} label{ref:iveqn}
dX(t) = left(AX(t) + int_{0}^{t} K(t-s)X(s),dsright),dt +
Sigma(t),dW(t)
end{equation}
where $K$ and $Sigma$ are continuous matrix--valued functions
defined on $mathbb{R}^{+}$, and $(W(t))_{t geq 0}$ is a
finite-dimensional standard Brownian motion. It is shown that when
the entries of $K$ are all of one sign on $mathbb{R}^{+}$, that
(i) the almost sure exponential convergence of the solution to
zero, (ii) the $p$-th mean exponential convergence of the solution
to zero (for all $p>0$), and (iii) the exponential integrability
of the entries of the kernel $K$, the exponential square
integrability of the entries of noise term $Sigma$, and the
uniform asymptotic stability of the solutions of the deterministic
version of (0.1) are equivalent. The paper extends a result of
Murakami which relates to the deterministic version of this
problem.
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Full text: PDF
Pages: 1-22
Published on: December 27, 2003
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Electronic Journal of Probability. ISSN: 1083-6489 |
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