Most existing books on evolution equations tend either to cover
a particular class of equations in too much depth for beginners or
focus on a very specific research direction. Thus, the field can be
daunting for newcomers to the field who need access to preliminary
material and behind-the-scenes detail. Taking an
applications-oriented, conversational approach, Discovering
Evolution Equations with Applications: Volume 2-Stochastic
Equations provides an introductory understanding of stochastic
evolution equations.
The text begins with hands-on introductions to the essentials of
real and stochastic analysis. It then develops the theory for
homogenous one-dimensional stochastic ordinary differential
equations (ODEs) and extends the theory to systems of homogenous
linear stochastic ODEs. The next several chapters focus on abstract
homogenous linear, nonhomogenous linear, and semi-linear stochastic
evolution equations. The author also addresses the case in which
the forcing term is a functional before explaining Sobolev-type
stochastic evolution equations. The last chapter discusses several
topics of active research.
Each chapter starts with examples of various models. The author
points out the similarities of the models, develops the theory
involved, and then revisits the examples to reinforce the
theoretical ideas in a concrete setting. He incorporates a
substantial collection of questions and exercises throughout the
text and provides two layers of hints for selected exercises at the
end of each chapter.
Suitable for readers unfamiliar with analysis even at the
undergraduate level, this book offers an engaging and accessible
account of core theoretical results of stochastic evolution
equations in a way that gradually builds readers? intuition.
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