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Since the first edition of this book, geometrical methods in the
theory of ordinary differential equations have become very popular
and some progress has been made partly with the help of computers.
Much of this progress is represented in this revised, expanded
edition, including such topics as the Feigenbaum universality of
period doubling, the Zoladec solution, the Iljashenko proof, the
Ecalle and Voronin theory, the Varchenko and Hovanski theorems, and
the Neistadt theory. In the selection of material for this book,
the author explains basic ideas and methods applicable to the study
of differential equations. Special efforts were made to keep the
basic ideas free from excessive technicalities. Thus the most
fundamental questions are considered in great detail, while of the
more special and difficult parts of the theory have the character
of a survey. Consequently, the reader needs only a general
mathematical knowledge to easily follow this text. It is directed
to mathematicians, as well as all users of the theory of
differential equations.
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."
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.
Since the first edition of this book, geometrical methods in the
theory of ordinary differential equations have become very popular
and some progress has been made partly with the help of computers.
Much of this progress is represented in this revised, expanded
edition, including such topics as the Feigenbaum universality of
period doubling, the Zoladec solution, the Iljashenko proof, the
Ecalle and Voronin theory, the Varchenko and Hovanski theorems, and
the Neistadt theory. In the selection of material for this book,
the author explains basic ideas and methods applicable to the study
of differential equations. Special efforts were made to keep the
basic ideas free from excessive technicalities. Thus the most
fundamental questions are considered in great detail, while of the
more special and difficult parts of the theory have the character
of a survey. Consequently, the reader needs only a general
mathematical knowledge to easily follow this text. It is directed
to mathematicians, as well as all users of the theory of
differential equations.
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