“…The literature on asymptotically constant solutions to deterministic functional differential and Volterra equations is extensive; a recent contribution to this literature, which also gives a nice survey of results is presented in [11]. Motivation from the sciences for studying the phenomenon of asymptotically constant solutions in deterministic and stochastic functional differential or functional difference equations arise for example from the modelling of endemic diseases [14,3] or in the analysis of inefficient financial markets [8].…”
This paper concerns the asymptotic behaviour of solutions of functional differential equations with unbounded delay to non-equilibrium limits. The underlying deterministic equation is presumed to be a linear Volterra integro-differential equation whose solution tends to a non-trivial limit. We show when the noise perturbation is bounded by a non-autonomous linear functional with a square integrable noise intensity, solutions tend to a non-equilibrium and non-trivial limit almost surely and in meansquare. Exact almost sure convergence rates to this limit are determined in the case when the decay of the kernel in the drift term is characterised by a class of weight functions.
“…The literature on asymptotically constant solutions to deterministic functional differential and Volterra equations is extensive; a recent contribution to this literature, which also gives a nice survey of results is presented in [11]. Motivation from the sciences for studying the phenomenon of asymptotically constant solutions in deterministic and stochastic functional differential or functional difference equations arise for example from the modelling of endemic diseases [14,3] or in the analysis of inefficient financial markets [8].…”
This paper concerns the asymptotic behaviour of solutions of functional differential equations with unbounded delay to non-equilibrium limits. The underlying deterministic equation is presumed to be a linear Volterra integro-differential equation whose solution tends to a non-trivial limit. We show when the noise perturbation is bounded by a non-autonomous linear functional with a square integrable noise intensity, solutions tend to a non-equilibrium and non-trivial limit almost surely and in meansquare. Exact almost sure convergence rates to this limit are determined in the case when the decay of the kernel in the drift term is characterised by a class of weight functions.
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