The stability of stochastic differential equations in abstract,
mainly Hilbert, spaces receives a unified treatment in this
self-contained book. It covers basic theory as well as
computational techniques for handling the stochastic stability of
systems from mathematical, physical and biological problems. Its
core material is divided into three parts devoted respectively to
the stochastic stability of linear systems, non-linear systems, and
time-delay systems. The focus is on stability of stochastic
dynamical processes affected by white noise, which are described by
partial differential equations such as the Navier-Stokes equations.
A range of mathematicians and scientists, including those involved
in numerical computation, will find this book useful. It is also
ideal for engineers working on stochastic systems and their
control, and researchers in mathematical physics or biology.
General
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