One of the major problems in the study of evolution equations of mathematical physics is the investigation of the behavior of the solutions to these equations when time is large or tends to infinity. The related important questions concern the stability of solutions or the character of the instability if a solution is unstable. In the last few decades, considerable progress in this area has been achieved in the study of autonomous evolution partial differential equations. For a number of basic evolution equations of mathematical physics, it was shown that the long time behavior of their solutions can be characterized by a very important notion of a global attractor of the equation. In this book, the authors study new problems related to the theory of infinitedimensional dynamical systems that were intensively developed during the last 20 years. They construct the attractors and study their properties for various nonautonomous equations of mathematical physics: the 2D and 3D NavierStokes systems, reactiondiffusion systems, dissipative wave equations, the complex GinzburgLandau equation, and others. Since, as it is shown, the attractors usually have infinite dimension, the research is focused on the Kolmogorov \(\varepsilon\)entropy of attractors. Upper estimates for the \(\varepsilon\)entropy of uniform attractors of nonautonomous equations in terms of \(\varepsilon\)entropy of timedependent coefficients are proved. Also, the authors construct attractors for those equations of mathematical physics for which the solution of the corresponding Cauchy problem is not unique or the uniqueness is not proved. The theory of the trajectory attractors for these equations is developed, which is later used to construct global attractors for equations without uniqueness. The method of trajectory attractors is applied to the study of finitedimensional approximations of attractors. The perturbation theory for trajectory and global attractors is developed and used in the study of the attractors of equations with terms rapidly oscillating with respect to spatial and time variables. It is shown that the attractors of these equations are contained in a thin neighborhood of the attractor of the averaged equation. The book gives systematic treatment to the theory of attractors of autonomous and nonautonomous evolution equations of mathematical physics. It can be used both by specialists and by those who want to get acquainted with this rapidly growing and important area of mathematics. Readership Graduate students and research mathematicians interested in partial differential equations, dynamical systems and ergodic theory. Reviews "In general, let me say that this book is a must for every mathematician who works on attractors."  translated from Jahresbericht der Deutschen MathematikerVereinigung "A collection of a number of results obtained recently by the authors, two of the leading researchers on the subject ... new results are also included."  Mathematical Reviews Table of Contents Attractors of autonomous equations  Attractors of autonomous ordinary differential equations
 Attractors of autonomous partial differential equations
 Dimension of attractors
Attractors of nonautonomous equations  Processes and attractors
 Translation compact functions
 Attractors of nonautonomous partial differential equations
 Semiprocesses and attractors
 Kernels of processes
 Kolmogorov \(\varepsilon\)entropy of attractors
Trajectory attractors  Trajectory attractors of autonomous ordinary differential equations
 Attractors in Hausdorff spaces
 Trajectory attractors of autonomous equations
 Trajectory attractors of autonomous partial differential equations
 Trajectory attractors of nonautonomous equations
 Trajectory attractors of nonautonomous partial differential equations
 Approximation of trajectory attractors
 Perturbation of trajectory attractors
 Averaging of attractors of evolution equations with rapidly oscillating terms
 Proofs of Theorems II.1.4 and II.1.5
 Lattices and coverings
 Bibliography
 Index
