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Chueshov - Dynamics of Quasi-Stable Dissipative Systems

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Chueshov Dynamics of Quasi-Stable Dissipative Systems
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This book is devoted to background material and recently developed mathematical methods in the study of infinite-dimensional dissipative systems. The theory of such systems is motivated by the long-term goal to establish rigorous mathematical models for turbulent and chaotic phenomena. The aim here is to offer general methods and abstract results pertaining to fundamental dynamical systems properties related to dissipative long-time behavior. The book systematically presents, develops and uses the quasi-stability method while substantially extending it by including for consideration new classes of models and PDE systems arising in Continuum Mechanics. The book can be used as a textbook in dissipative dynamics at the graduate level. Igor Chueshov is a Professor of Mathematics at Karazin Kharkov National University in Kharkov, Ukraine.;Preface -- Introduction -- Basic Concepts -- General Facts on Dissipative Systems -- Finite-Dimensional Behavior and Quasi-Stability -- Abstract Parabolic Problems -- Second Order Evolution Equations.- Delay equations in infinite-dimensional spaces -- Auxiliary Facts -- References -- Index.

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Springer International Publishing Switzerland 2015
Igor Chueshov Dynamics of Quasi-Stable Dissipative Systems Universitext 10.1007/978-3-319-22903-4_1
1. Basic Concepts
Igor Chueshov 1
(1)
Department of Mechanics and Mathematics, Karazin Kharkov National University, Kharkov, Ukraine
This chapter collects basic definitions, notions and also the simplest illustrating statements from the general theory of dynamical systems. We also describe all possible dynamical scenarios in 1D and 2D continuous systems and, by means of examples, discuss the principal bifurcation pictures. Our intention in the latter materials is to give the reader some feeling on what kind of dynamics can arise for low-dimensional (1 or 2) continuous time evolutions.
We mainly follow the presentation given in Nemytskii/Stepanov []).
1.1 Evolution operators and dynamical systems
As already mentioned in the Introduction, the notion of a dynamical system includes a set of its possible states (state space) and a law of the evolution of the state in time. Below we take a complete metric space X as a set of possible states. We denote by Picture 1 all non-negative elements on Picture 2 , where Picture 3 is either Picture 4 or Picture 5 and represents the time.
Definition 1.1.1.
A family of continuous mappings of X into itself is said to be an evolution operator or - photo 6 of continuous mappings of X into itself is said to be an evolution operator (or evolution semigroup, or semiflow) if it satisfies the semigroup property:
In the case when we assume in addition that the mapping is continuous from - photo 7
In the case when Picture 8 we assume in addition that the mapping Picture 9 is continuous from Picture 10 into X for every x X . The pair ( X , S t ) is said to be a dynamical system with the phase (or state) space X and the evolution operator S t .
If Picture 11 , then the evolution operator (and dynamical system) is called discrete (or with discrete time). If Picture 12 , then S t (resp. ( X , S t )) is called an evolution operator (resp. dynamical system) with continuous time. If a notion of dimension can be defined for the phase space X (e.g., if X is a linear space), the value Dynamics of Quasi-Stable Dissipative Systems - image 13 is called a dimension of the dynamical system.
The following examples illustrate Definition .
Example 1.1.2 (Ordinary differential equations).
Let Dynamics of Quasi-Stable Dissipative Systems - image 14 be a (nonlinear) mapping. Consider the equation
111 If this problem has a unique solution for every initial data which - photo 15
(1.1.1)
If this problem has a unique solution for every initial data Dynamics of Quasi-Stable Dissipative Systems - image 16 which continuously depends on u 0, then it generates an evolution semigroup S t in Dynamics of Quasi-Stable Dissipative Systems - image 17 by the formula Dynamics of Quasi-Stable Dissipative Systems - image 18 , where u ( t , u 0) is the solution to problem (). Thus, we have a dynamical system ( X , S t ) with the phase space Picture 19 .
Example 1.1.3 (Mappings).
Let X be a complete metric space. Consider a mapping Dynamics of Quasi-Stable Dissipative Systems - image 20 . Let Dynamics of Quasi-Stable Dissipative Systems - image 21 . Then the n -fold composition Dynamics of Quasi-Stable Dissipative Systems - image 22 of the mapping F provides us with an evolution family. If the mapping F is continuous, then we obtain a discrete time dynamical system ( X , S n ). Therefore, the pair ( X , F ) completely determinates this (discrete time) dynamical system. This is why a pair ( X , F ) consisting of the space X and the (one-step) mapping F is also often called a dynamical system.
The following example shows how a single mapping can generate a dynamical system with continuous time.
Example 1.1.4 (Continuous time systems from mappings).
As in the previous example, let X be a complete metric space and be a continuous mapping Consider the difference equation with continuous - photo 23 be a continuous mapping. Consider the difference equation with continuous argument
Any solution of this equation can be easily constructed from data defined on - photo 24
Any solution of this equation can be easily constructed from data Dynamics of Quasi-Stable Dissipative Systems - image 25 defined on [0,1] by the formula
Dynamics of Quasi-Stable Dissipative Systems - image 26
where Dynamics of Quasi-Stable Dissipative Systems - image 27 . This function u is continuous on when where C 01 X is the space of continuous functions on 01 with - photo 28 when
where C 01 X is the space of continuous functions on 01 with values - photo 29
where C ([0,1], X ) is the space of continuous functions on [0,1] with values in X . Now we can define a continuous time evolution operator in Y by the formula
where is the integer part of and is its fr - photo 30
where Picture 31
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