Lyapunov Functionals and Stability of Stochastic Difference Equations

This book offers a general method of Lyapunov functional construction which lets researchers analyze the degree to which the stability properties of differential equations are preserved in their difference analogues. Includes examples from physical systems.

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 predatorprey 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.

Detailed description of Lyapunov functional construction will allow researchers to analyse stability results for hereditary systems more easily Profuse analytical and numerical examples help to explain the methods used Demonstrates a method that can be usefully applied in economic, mechanical, biological and ecological systems Includes supplementary material: sn.pub/extras

Zusammenfassung
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.

Inhalt
Lyapunov-type Theorems and Procedure for Lyapunov Functional Construction.- Illustrative Example.- Linear Equations with Stationary Coefficients.- Linear Equations with Nonstationary Coefficients.- Some Peculiarities of the Method.- Systems of Linear Equations with Varying Delays.- Nonlinear Systems.- Volterra Equations of the Second Type.- Difference Equations with Continuous Time.- Difference Equations as Difference Analogues of Differential Equations.