Small Random Perturbations Of Dynamical Systems With Stable Limit Cycles
Download Small Random Perturbations Of Dynamical Systems With Stable Limit Cycles full books in PDF, epub, and Kindle. Read online free Small Random Perturbations Of Dynamical Systems With Stable Limit Cycles ebook anywhere anytime directly on your device. Fast Download speed and no annoying ads. We cannot guarantee that every ebooks is available!
Author | : Elke M. Hennig |
Publisher | : |
Total Pages | : 208 |
Release | : 1994 |
Genre | : |
ISBN | : |
Download Small Random Perturbations of Dynamical Systems with Stable Limit Cycles Book in PDF, Epub and Kindle
Author | : Yuri Kifer |
Publisher | : Springer Science & Business Media |
Total Pages | : 301 |
Release | : 2012-12-06 |
Genre | : Mathematics |
ISBN | : 1461581818 |
Download Random Perturbations of Dynamical Systems Book in PDF, Epub and Kindle
Mathematicians often face the question to which extent mathematical models describe processes of the real world. These models are derived from experimental data, hence they describe real phenomena only approximately. Thus a mathematical approach must begin with choosing properties which are not very sensitive to small changes in the model, and so may be viewed as properties of the real process. In particular, this concerns real processes which can be described by means of ordinary differential equations. By this reason different notions of stability played an important role in the qualitative theory of ordinary differential equations commonly known nowdays as the theory of dynamical systems. Since physical processes are usually affected by an enormous number of small external fluctuations whose resulting action would be natural to consider as random, the stability of dynamical systems with respect to random perturbations comes into the picture. There are differences between the study of stability properties of single trajectories, i. e. , the Lyapunov stability, and the global stability of dynamical systems. The stochastic Lyapunov stability was dealt with in Hasminskii [Has]. In this book we are concerned mainly with questions of global stability in the presence of noise which can be described as recovering parameters of dynamical systems from the study of their random perturbations. The parameters which is possible to obtain in this way can be considered as stable under random perturbations, and so having physical sense. -1- Our set up is the following.
Author | : M. I. Freidlin |
Publisher | : Springer Science & Business Media |
Total Pages | : 334 |
Release | : 2012-12-06 |
Genre | : Mathematics |
ISBN | : 1468401769 |
Download Random Perturbations of Dynamical Systems Book in PDF, Epub and Kindle
Asymptotical problems have always played an important role in probability theory. In classical probability theory dealing mainly with sequences of independent variables, theorems of the type of laws of large numbers, theorems of the type of the central limit theorem, and theorems on large deviations constitute a major part of all investigations. In recent years, when random processes have become the main subject of study, asymptotic investigations have continued to playa major role. We can say that in the theory of random processes such investigations play an even greater role than in classical probability theory, because it is apparently impossible to obtain simple exact formulas in problems connected with large classes of random processes. Asymptotical investigations in the theory of random processes include results of the types of both the laws of large numbers and the central limit theorem and, in the past decade, theorems on large deviations. Of course, all these problems have acquired new aspects and new interpretations in the theory of random processes.
Author | : Mark I. Freidlin |
Publisher | : Springer Science & Business Media |
Total Pages | : 483 |
Release | : 2012-05-31 |
Genre | : Mathematics |
ISBN | : 3642258476 |
Download Random Perturbations of Dynamical Systems Book in PDF, Epub and Kindle
Many notions and results presented in the previous editions of this volume have since become quite popular in applications, and many of them have been “rediscovered” in applied papers. In the present 3rd edition small changes were made to the chapters in which long-time behavior of the perturbed system is determined by large deviations. Most of these changes concern terminology. In particular, it is explained that the notion of sub-limiting distribution for a given initial point and a time scale is identical to the idea of metastability, that the stochastic resonance is a manifestation of metastability, and that the theory of this effect is a part of the large deviation theory. The reader will also find new comments on the notion of quasi-potential that the authors introduced more than forty years ago, and new references to recent papers in which the proofs of some conjectures included in previous editions have been obtained. Apart from the above mentioned changes the main innovations in the 3rd edition concern the averaging principle. A new Section on deterministic perturbations of one-degree-of-freedom systems was added in Chapter 8. It is shown there that pure deterministic perturbations of an oscillator may lead to a stochastic, in a certain sense, long-time behavior of the system, if the corresponding Hamiltonian has saddle points. The usefulness of a joint consideration of classical theory of deterministic perturbations together with stochastic perturbations is illustrated in this section. Also a new Chapter 9 has been inserted in which deterministic and stochastic perturbations of systems with many degrees of freedom are considered. Because of the resonances, stochastic regularization in this case is even more important.
Author | : Mark Iosifovich Freĭdlin |
Publisher | : |
Total Pages | : 326 |
Release | : 1984 |
Genre | : Perturbation (Mathematics) |
ISBN | : 9783540908586 |
Download Fluktuatsii V Dinamicheskikh Sistemakh Pod Deistviem Malykh Sluchainykh Vozmushchenii Book in PDF, Epub and Kindle
Author | : Johan Grasman |
Publisher | : |
Total Pages | : 18 |
Release | : 1979 |
Genre | : |
ISBN | : |
Download Small Random Perturbations of Dynamical Systems with Applications in Population Genetics Book in PDF, Epub and Kindle
Author | : Miguel Gutierrez |
Publisher | : |
Total Pages | : 154 |
Release | : 1994 |
Genre | : Stochastic approximation |
ISBN | : |
Download Random Perturbations of Dynamical Systems Book in PDF, Epub and Kindle
Author | : Mark Iosifovich Freĭdlin |
Publisher | : |
Total Pages | : |
Release | : 1983 |
Genre | : Stochastic processes |
ISBN | : |
Download Fluctuations in Dynamical Systems Caused by Small Random Perturbations Book in PDF, Epub and Kindle
Author | : Rabindra Nath Bhattacharya |
Publisher | : |
Total Pages | : 463 |
Release | : 2007 |
Genre | : Random dynamical systems |
ISBN | : 9780511274367 |
Download Random Dynamical Systems Book in PDF, Epub and Kindle
This treatment provides an exposition of discrete time dynamic processes evolving over an infinite horizon. Chapter 1 reviews some mathematical results from the theory of deterministic dynamical systems, with particular emphasis on applications to economics. The theory of irreducible Markov processes, especially Markov chains, is surveyed in Chapter 2. Equilibrium and long run stability of a dynamical system in which the law of motion is subject to random perturbations is the central theme of Chapters 3-5. A unified account of relatively recent results, exploiting splitting and contractions, that have found applications in many contexts is presented in detail. Chapter 6 explains how a random dynamical system may emerge from a class of dynamic programming problems. with examples and exercises, readers are guided from basic theory to the frontier of applied mathematical research.
Author | : Igor Chueshov |
Publisher | : Springer Science & Business Media |
Total Pages | : 248 |
Release | : 2002-04-10 |
Genre | : Mathematics |
ISBN | : 9783540432463 |
Download Monotone Random Systems Theory and Applications Book in PDF, Epub and Kindle
The aim of this book is to present a recently developed approach suitable for investigating a variety of qualitative aspects of order-preserving random dynamical systems and to give the background for further development of the theory. The main objects considered are equilibria and attractors. The effectiveness of this approach is demonstrated by analysing the long-time behaviour of some classes of random and stochastic ordinary differential equations which arise in many applications.