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Lyapunov Functionals and Stability of Stochastic Difference Equations (Hardcover, Edition.)
Loot Price: R2,930
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Lyapunov Functionals and Stability of Stochastic Difference Equations (Hardcover, Edition.)
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Hereditary systems (or systems with either delay or after-effects)
are widely used to model processes in physics, mechanics, control,
economics and biology. An important element in their study is their
stability. Stability conditions for difference equations with delay
can be obtained using a Lyapunov functional.
Lyapunov Functionals and Stability of Stochastic Difference
Equations describes a general method of Lyapunov functional
construction to investigate the stability of discrete- and
continuous-time stochastic Volterra difference equations. The
method allows the investigation of the degree to which the
stability properties of differential equations are preserved in
their difference analogues.
The text is self-contained, beginning with basic definitions and
the mathematical fundamentals of Lyapunov functional construction
and moving on from particular to general stability results for
stochastic difference equations with constant coefficients. Results
are then discussed for stochastic difference equations of linear,
nonlinear, delayed, discrete and continuous types. Examples are
drawn from a variety of physical systems including inverted
pendulum control, study of epidemic development, Nicholson s
blowflies equation and predator prey relationships.
Lyapunov Functionals and Stability of Stochastic Difference
Equations is primarily addressed to experts in stability theory but
will also be of use in the work of pure and computational
mathematicians and researchers using the ideas of optimal control
to study economic, mechanical and biological systems.
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