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INTRODUCTION
Among processes studied by various natural sciences (mechanics, physics,
ecology, etc.), an important place is occupied by oscillation processes. By now,
numerous efficient methods for the investigation of oscillation phenomena described
by linear and nonlinear differential equations have been developed and
mathematically justified [AVK, Bib, BNF, KBK, LiR, MiR, Nei, Pero, Pli1, Pros,
FiS, Hal2]. It turned out that, among these methods, the most efficient are asymptotic
methods, in particular, the averaging method, the method of integral manifolds,
and iterative methods developed by mathematicians of the Kiev Mathematical
School (Krylov, Bogolyubov, Mitropol’skii, Samoilenko, and their disciples)
[Bog, BoZ, BoM1, BoM2, BMS, GGP1, GGP2, GoP, Gre, GrR1–GrR3, KrB,
Kul, Luc, Lyk, LyB, MaS, MaT, Mit1–Mit4, MiLo, MiLy, MiS1–MiS5, MSK,
MSM1, MSM2, MiK, Par, Pere, PeA, Pet1–Pet10, PeL, PeP, Sam1–Sam10, SaP1,
SaP2, SPe1–SPe7, SPet1, SPet2, SaR, SaS, SaT, SSh, TeA, Tro, FBKCY, SVL,
SSY].
The foundations of the averaging method were laid in works of the founders
of celestial mechanics in the times of Lagrange and Laplace. The idea of this
method is as follows: Using a special operator, one replaces the system of differential
equations under investigation by another system (the so-called averaged
system). The averaged system, on the one hand, should be simpler in a certain
sense than the original one, and, on the other hand, it must describe the main features
of the phenomenon under investigation. In this case, there naturally arises
the problem of justification of the averaging method, i.e., the problem of finding
efficient estimates for the norm of the difference of solutions of the original and
the averaged equations on a finite or an infinite time interval.
Although the averaging method has been used for the solution of numerous
problems for almost two centuries, the problem of its justification remained unsolved
for a long time. Only in the 1930–1940s, beginning with Fatou’s work
[Fat], the first fundamental results were obtained in this direction. Thus, Bogolyubov
showed [Bog, Mit2] that, for systems of the standard form, the averaging
1
2 Introduction
method is closely related to the problem of the existence of a change of variables
that enables one to exclude the time variable on the right-hand side of the
system. Furthermore, Bogolyubov investigated systems of equations of higher approximations
whose solutions approximate the solutions of the original system of
equations to within values proportional to integer powers of a small parameter ε.
The averaging method was further developed by Mitropol’skii and other authors
for various classes of differential equations with large and small parameters.
In particular, it was extended to equations with nondifferentiable right-hand sides,
integro-differential and stochastic differential equations, partial differential equations,
and linear differential equations with slowly varying parameters that describe
nonstationary oscillation processes. These results are presented in [Mit2].
Mitropol’skii and Samoilenko developed the axiomatic theory of the averaging
method [MiS4], which includes the classical version of the averaging method and,
in particular, leads to the method of normal forms [Bry1]. Important results on the
problem of justification of the averaging method were also obtained in [Aku, Vol,
VoM, ZaL, MiK, Plo, PlB, PlZ, PlL, Sam1, Sam5, Fil, Kha1, Kha2, KhF].
The last decades were marked by the extensive investigation of multifrequency
nonlinear systems of differential equations appearing in various problems of classical
and celestial mechanics, radio engineering, and physics. In this connection,
the development of algorithms for the asymptotic integration of oscillation systems
with many degrees of freedom and their mathematical justification has become
an urgent problem.
In the case of systems with constant frequency vector, this important problem
was solved by Mitropol’skii and Samoilenko in [MiS1–MiS5, Sam2–Sam4]. In
particular, they thoroughly investigated an important phenomenon appearing in
multifrequency systems, namely, quasiperiodic oscillations.
For systems with variable frequency vector, the best-studied cases are the oneand
two-dimensional cases, which were investigated by Arnol’d [Arn2, Arn4],
Bakhtin [Bak2], Neishtadt [Neis1], and Pronchatov [Pron]. In the works indicated,
efficient estimates were obtained for the error of the averaging method on a
finite time segment and for the measure of the set of initial data for the equations
under investigation for which the resonance phenomenon takes place. If the number
of frequencies is greater than two, then the investigation of oscillation systems
leads to considerable difficulties because, in this case, the structure of resonance
surfaces is very complicated [Arn4]. Certain problems of justification of averaging
schemes in multifrequency systems and their applications to the solution
of practical problems were studied by Anosov [3], Bakhtin [Bak1], Grebenikov
[Gre], Neishtadt [Neis2], Plotnikov [Plo, PlL], and Khapaev [Kha1, Kha2].
Introduction 3
The problem of averaging in Hamiltonian systems has been fairly thoroughly
studied. Note that, for such systems, a solution of the averaged equations for slow
variables is always stationary. Kolmogorov [Kol] and Arnol’d [Arn1] solved the
problem of the stability of Hamiltonian systems on an infinite time segment, and
Nekhoroshev [Nek1, Nek2] obtained an exponential estimate for stability time for
almost all Hamiltonian functions.
The averaging method is often used for the solution of boundary-value problems
appearing in the simulation of the behavior of real processes and in problems
of optimal control. In the course of investigation of such processes, in many cases
it is rather difficult to specify initial data that uniquely describe the process (the
Cauchy problem), but it is possible to determine the values of some parameters of
this process at certain times by using various devices. There is a fairly rich theory
of multipoint boundary-value problems for ordinary differential equations developed
in works of many authors [Boi, VaK, VaB, VaD, Gab, DmK, ZhK, Kig, LeL,
Luc, Pta, SaR, ChH]. This theory is based on both analytic methods, by using
which one studies the problem of the existence and uniqueness of solutions and
their continuous dependence on parameters, and numerical methods, which enable
one to calculate approximate values of solutions. Analytic and numerical methods
are often combined, which allows one to efficiently solve the problem of the
existence of solutions and their construction. An extensive bibliography on this
problem can be found in [SaR]. Applications of the averaging method to the solution
of boundary-value problems were studied by Akulenko [Aku], Chernous’ko
[Che], Bainov and Milusheva [BaM], Plotnikov, Zverkova, and Bardai [Plo, PlB,
PlZ], and others.
Another powerful and convenient method for the investigation of nonlinear
systems of differential equations is the method of integral manifolds. The first
deep results on integral manifolds of toroidal type were obtained by Krylov and
Bogolyubov [Bog, BoM1, KrB] in the process of justification of asymptotic methods
in nonlinear mechanics. Later, the ideas of these works were generalized in
[BoM2] and extensively developed in the study of differential equations in various
functional spaces. They also affected the character of new developments in perturbation
theory for toroidal manifolds and led to deep results of Diliberto [Dil1,
Dil2], Hale [Hal1], Moser [Mos1–Mos5], Sacker [Sac1, Sac2], and Sell [Sel1,
Sel2].
A new impulse toward the development of the theory of perturbations and
stability of invariant manifolds was given by the concept of Green function in the
problem of invariant tori of a linear extension of a dynamical system on a torus,
which led to new results in this theory [Sam8].
4 Introduction
The method of integral manifolds was extended to systems of differential
equations with slow and fast variables (in particular, singularly perturbed ones),
impulsive systems, systems close to integrable ones, etc. Important results concerning
the existence and properties of integral manifolds can be found in the
monographs of Bakai and Stepanovskii [BaS], Bibikov [Bib], Mitropol’skii and
Lykova [MiLy], Pliss [Pli2], Samoilenko and Perestyuk [SaP2], and Strygin and
Sobolev [StS].
In the present work, we investigate multifrequency nonlinear systems of ordinary
differential equations of the form
dx
dτ
= a(x, ϕ, τ, ε),
dϕ
dτ
= ω(x, τ )
ε
+ b (x, ϕ, τ, ε),
(1)
where x and ϕ are n- and m-dimensional vectors, respectively, τ is “slow”
time, ε is a small positive parameter, and the real vector functions a, b, and
ω belong to certain classes of smooth functions 2π-periodic in ϕ. Systems of
this type appear in the course of investigation of oscillation processes in numerous
problems of mechanics, electrical engineering, biology, etc. [GrR2, GrR3,
Mit3, Mit4, Hal2]. The main problem arising in the study of properties of solutions
of system (1) is the problem of resonance relations between the components
of the variable frequency vector ω(x, τ ). Here, the resonance case is understood
as the case where the scalar product of the vector ω(x, τ ) and a nonzero vector
with integer-valued coordinates turns into zero or becomes close to zero for
certain values of x and τ. This leads to the appearance of slowly varying harmonics
in the Fourier series on the right-hand sides of Eqs. (1) and generates the
problem of small denominators [Arn1, BMS, GrR2]. At present, there is a fairly
complete and rich theory of one- and two-frequency systems. Note that, in the
case of two-frequency systems, the resonance surfaces form, generally speaking,
a collection of level surfaces; therefore, the main effect in these systems is the
passage through resonances in the course of evolution. If an oscillation system
has a greater number of frequencies, then its solutions can stay in a neighborhood
of resonance surfaces for a fairly long time or intersect these surfaces at arbitrarily
small angles, which substantially complicates the investigation of oscillations.
The case m ≥ 3 has been studied to a significantly lesser extent than the oneand
two-frequency cases, and, therefore, the investigation of various aspects of the
theory of multifrequency nonlinear oscillation systems is an urgent problem. The
present monograph is devoted to the solution of certain problems in this theory.
Introduction 5
In Chapter 1, we establish uniform estimates for certain oscillation integrals
depending on parameters, which are used in the proof of new theorems on the
justification of the averaging method. The averaged (with respect to all angular
variables ϕ) system corresponding to system (1) has the form
dx
dτ
= a (x, τ, ε),
dϕ
dτ
= ω(x, τ )
ε
+ b (x, τ, ε),
(2)
where
_
a; b
_
= (2π)−m
_2π
0
. . .
_2π
0
_
a(x, ϕ, τ, ε); b(x, ϕ, τ, ε)
_
dϕ1 . . . dϕm.
The averaged system (2) is simpler than (1) because it does not contain oscillation
terms on its right-hand side, and, therefore, for the construction of its solution, one
can use numerical methods with step greater than in the case of (1). The problem
of the justification of the averaging method reduces to the proof of the estimate
_x(τ, ε) − x(τ, ε)_ + _ϕ(τ, ε) − ϕ(τ, ε)_ ≤ Cεα
or
_x(τ, ε) − x(τ, ε)_ ≤ Cεα
for all τ ∈ I. Here, C and α are certain positive constants, x(0, ε) = x(0, ε),
ϕ(0, ε) = ϕ(0, ε), and either I = [0, L], or I = [0, T(ε)] ( T(ε) → ∞ as
ε → 0), or I = [0,∞). We obtain efficient estimates for partial derivatives of the
difference of solutions of systems (1) and (2) with respect to the initial data, prove
an analog of Banfi–Filatov theorem [Fil, Ban], and investigate multifrequency
systems of higher approximations.
Chapter 2 is devoted to the application of the averaging method to the solution
of boundary-value problems. In the case of oscillation systems with ω = ω(τ ),
we prove the solvability of two-point boundary-value problems and establish the
quantitative dependence of the norm of the difference of solutions of original and
averaged problems on the value of the small parameter ε. Combining the averaging
method with the solution of boundary-value problems, we prove the existence
of solutions of system (1) defined on the entire axis the slow variables x(τ, ε) of
which are uniformly bounded. It is important to note that this result is established
6 Introduction
without using the method of integral manifolds, which requires additional restrictions
on a multifrequency system. The solvability of multipoint boundary-value
problems in the case ω = ω(x, τ ) is studied, and the existence of solutions of
boundary-value problems with parameters is proved.
In Chapter 3, we establish conditions for the existence of an integral manifold
of system (1) in the case where the frequencies of the system depend on τ. The
smoothness properties are studied, estimates for partial derivatives of the function
defining the integral manifold are obtained, and a theorem on the conditional
asymptotic stability of an integral manifold is proved. In a small neighborhood of
an asymptotically stable integral manifold x = X (ψ, τ, ε), we decompose the
equations for slow and fast variables, i.e., we construct a change of variables
x = y + X (ϕ, τ, ε), ϕ= ψ +Φ(y, ψ, τ, ε)
that reduces system (1) to the form
dy
dτ
= Y (y, ψ, τ, ε),
dψ
dτ
= ω(τ )
ε
+ b
_
X(ψ, τ, ε), ψ, τ, ε
_
.
The results obtained are used for the investigation of a system of weakly connected
oscillators with slowly varying frequencies.
In Chapter 4, we study the behavior of a dynamical system
dx
dt
= X(x), x∈ Rn, (3)
in a neighborhood of a toroidal manifold M filled by a quasiperiodic trajectory
of the system. By passing to local coordinates, we establish conditions for the
reducibility of system (3) in such a neighborhood to a system with quasiperiodic
coefficients and investigate the smoothness of the corresponding change of variables.
We prove a statement on the exponential attraction as t→∞ of a solution
of system (3) originating in a small neighborhood of the invariant manifold to the
corresponding solution of this system that lies on M. We also establish the invariance
of the behavior of trajectories of a dynamical system in a neighborhood
of the manifold M under small perturbations of system (3). The results obtained
are extended to the case of discrete dynamical systems.
Introduction 7
The present monograph is based on the investigations carried out by the authors
themselves [Pet1–Pet10, Sam5–Sam7, Sam9, SPe1–SPe7] and in collaboration
with their disciples [PeL, PeP, SPet1, SPet2].
The authors hope that the ideas and methods proposed in this monograph will
be further developed and applied to new classes of problems in the theory of nonlinear
oscillations.
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