Items related to Spectral Theory for Random and Nonautonomous Parabolic...

Spectral Theory for Random and Nonautonomous Parabolic Equations and Applications: 139 (Monographs and Surveys in Pure and Applied Mathematics) - Softcover

Book 18 of 34: Monographs and Surveys in Pure and Applied Mathematics

Mierczynski, Janusz; Shen, Wenxian

 
9780367387594: Spectral Theory for Random and Nonautonomous Parabolic Equations and Applications: 139 (Monographs and Surveys in Pure and Applied Mathematics)

Synopsis

Providing a basic tool for studying nonlinear problems, Spectral Theory for Random and Nonautonomous Parabolic Equations and Applications focuses on the principal spectral theory for general time-dependent and random parabolic equations and systems. The text contains many new results and considers existing results from a fresh perspective.

Taking a clear, unified, and self-contained approach, the authors first develop the abstract general theory in the framework of weak solutions, before turning to cases of random and nonautonomous equations. They prove that time dependence and randomness do not reduce the principal spectrum and Lyapunov exponents of nonautonomous and random parabolic equations. The book also addresses classical Faber–Krahn inequalities for elliptic and time-periodic problems and extends the linear theory for scalar nonautonomous and random parabolic equations to cooperative systems. The final chapter presents applications to Kolmogorov systems of parabolic equations.

By thoroughly explaining the spectral theory for nonautonomous and random linear parabolic equations, this resource reveals the importance of the theory in examining nonlinear problems.

"synopsis" may belong to another edition of this title.

About the Author

Mierczynski, Janusz; Shen, Wenxian

From the Back Cover

Containing many new results and considering existing results from a fresh perspective, this clear, unified, and self-contained book focuses on the principal spectral theory for general time-dependent and random parabolic equations and systems. The authors prove that time dependence and randomness do not reduce the principal spectrum and Lyapunov exponents of nonautonomous and random parabolic equations. They also address classical Faber-Krahn inequalities for elliptic and time-periodic problems and extend the linear theory for scalar nonautonomous and random parabolic equations to cooperative systems. The final chapter presents applications to Kolmogorov systems of parabolic equations.

"About this title" may belong to another edition of this title.