Mikhail Z. Zgurovsky, Pavlo O. Kasyanov, Oleksiy V. Kapustyan

Evolution Inclusions and Variation Inequalities for Earth Data Processing III

Long-Time Behavior of Evolution Inclusions Solutions in Earth Data Analysis

• Broschiertes Buch

Produktbeschreibung

In this sequel to two earlier volumes, the authors now focus on the long-time behavior of evolution inclusions, based on the theory of extremal solutions to differential-operator problems. This approach is used to solve problems in climate research, geophysics, aerohydrodynamics, chemical kinetics or fluid dynamics. As in the previous volumes, the authors present a toolbox of mathematical equations. The book is based on seminars and lecture courses on multi-valued and non-linear analysis and their geophysical application.

Produktdetails

• Advances in Mechanics and Mathematics 27
• Verlag: Springer / Springer Berlin Heidelberg / Springer, Berlin
• Artikelnr. des Verlages: 978-3-642-42807-4
• 2012
• Seitenzahl: 372
• Erscheinungstermin: 11. Juni 2014
• Englisch
• Abmessung: 235mm x 155mm x 21mm
• Gewicht: 563g
• ISBN-13: 9783642428074
• ISBN-10: 364242807X
• Artikelnr.: 41022556

Inhaltsangabe

Introduction: Long-time Behaviour of Evolution Inclusions Solutions in Earth Data Analysis.- Part I Long-time Behaviour of Autonomous Differential-Operator Systems Solutions for Earth Data Processing: Abstract Theory of Multivalued Semiflows.- Auxiliary Properties of Evolution Inclusions Solutions for Earth Data Processing.- Attractors for Lattice Dynamical Systems.- Part II Long-time Behaviour of Nonautonomous Differential-Operator Systems Solutions for Earth Data Processing: On Global Attractors of Multivalued Semiprocesses and Nonautonomous Evolution Inclusions.- On the Kneser Property for the Complex Ginzburg-Landau Equation and the Lotka-Volterra System with Diffusion.- Pullback Attractors for a Class of Extremal Solutions of the 3D Navier-Stokes System.- Properties of Resolving Operator for Nonautonomous Evolution Inclusions: Pullback Attractors.- Functional Spaces. The Embedding and Approximation Theorems.