leads to the following linearly uncoupled equations
,
where the matrix is composed by -dimensional polarization eigenvectors defined by the characteristic equation
;
is the diagonal matrix of differential operators with eigenvalues ; and are reverse matrices.
The linearly uncoupled equations can be rewritten in an equivalent matrix form [5]
(12) and ,
using the complex variables . Here is the unity matrix. Here is the -dimensional vector of nonlinear terms analytical at the origin . So, this can be presented as a series in , i. e.
,
where are the vectors of homogeneous polynomials of degree , e. g.
Here and are some given differential operators. Together with the system (12), we consider the corresponding linearized subset
(13) and ,
whose analytical solutions can be written immediately as a superposition of harmonic waves
,
where are constant complex amplitudes; is the number of normal waves of the -th type, so that (for instance, if the operator is a polynomial, then , where is a scalar, is a constant vector, is some differentiable function. For more detail see [6]).
A question is following. What is the difference between these two systems, or in other words, how the small nonlinearity is effective?
According to a method of normal forms (see for example [7,8]), we look for a solution to eqs. (12) in the form of a quasi-automorphism, i. e.
(14)
where denotes an unknown -dimensional vector function, whose components can be represented as formal power series in , i. e. a quasi-bilinear form:
(15) ,
for example
where and are unknown coefficients which have to be determined.
By substituting the transform (14) into eqs. (12), we obtain the following partial differential equations to define :
(16) .
It is obvious that the eigenvalues of the operator acting on the polynomial components of (i. e. ) are the linear integer-valued combinational values of the operator given at various arguments of the wave vector .
In the lowest-order approximation in eqs. (16) read
.
The polynomial components of are associated with their eigenvalues , i. e. , where
or ,
while in the lower-order approximation in .
So, if at least the one eigenvalue of approaches zero, then the corresponding coefficient of the transform (15) tends to infinity. Otherwise, if , then represents the lowest term of a formal expansion in .
Analogously, in the second-order approximation in :
the eigenvalues of can be written in the same manner, i. e. , where , etc.
By continuing the similar formal iterations one can define the transform (15). Thus, the sets (12) and (13), even in the absence of eigenvalues equal to zeroes, are associated with formally equivalent dynamical systems, since the function can be a divergent function. If is an analytical function, then these systems are analytically equivalent. Otherwise, if the eigenvalue in the -order approximation, then eqs. (12) cannot be simply reduced to eqs. (13), since the system (12) experiences a resonance.
For example, the most important 3-order resonances include
triple-wave resonant processes, when and ;
generation of the second harmonic, as and .
The most important 4-order resonant cases are the following:
four-wave resonant processes, when ; (interaction of two wave couples); or when and (break-up of the high-frequency mode into tree waves);
degenerated triple-wave resonant processes at and ;
generation of the third harmonic, as and .
These resonances are mainly characterized by the amplitude modulation, the depth of which increases as the phase detuning approaches to some constant (e. g. to zero, if consider 3-order resonances). The waves satisfying the phase matching conditions form the so-called resonant ensembles.
Finally, in the second-order approximation, the so-called “non-resonant" interactions always take place. The phase matching conditions read the following degenerated expressions
cross-interactions of a wave pair at and ;
self-action of a single wave as and .
Non-resonant coupling is characterized as a rule by a phase modulation.
The principal proposition of this section is following. If any nonlinear system (12) does not have any resonance, beginning from the order up to the order , then the nonlinearity produces just small corrections to the linear field solutions. These corrections are of the same order that an amount of the nonlinearity up to times .
To obtain a formal transform (15) in the resonant case, one should revise a structure of the set (13) by modifying its right-hand side:
(16) ; ,
where the nonlinear terms . Here are the uniform -th order polynomials. These should consist of the resonant terms only. In this case the eqs. (16) are associated with the so-called normal forms.
Remarks
In practice the series are usually truncated up to first - or second-order terms in .
The theory of normal forms can be simply generalized in the case of the so-called essentially nonlinear systems, since the small parameter can be omitted in the expressions (12) - (16) without changes in the main result. The operator can depend also upon the spatial variables .
Formally, the eigenvalues of operator can be arbitrary complex numbers. This means that the resonances can be defined and classified even in appropriate nonlinear systems that should not be oscillatory one (e. g. in the case of evolution equations).
Resonance in multi-frequency systems
The resonance plays a principal role in the dynamical behavior of most physical systems. Intuitively, the resonance is associated with a particular case of a forced excitation of a linear oscillatory system. The excitation is accompanied with a more or less fast amplitude growth, as the natural frequency of the oscillatory system coincides with (or sufficiently close to) that of external harmonic force. In turn, in the case of the so-called parametric resonance one should refer to some kind of comparativeness between the natural frequency and the frequency of the parametric excitation. So that, the resonances can be simply classified, according to the above outlined scheme, by their order, beginning from the number first , if include in consideration both linear and nonlinear, oscillatory and non-oscillatory dynamical systems.
For a broad class of mechanical systems with stationary boundary conditions, a mathematical definition of the resonance follows from consideration of the average functions
(17) , as ,
where are the complex constants related to the linearized solution of the evolution equations (13); denotes the whole spatial volume occupied by the system. If the function has a jump at some given eigen values of and , then the system should be classified as resonant one. It is obvious that we confirm the main result of the theory of normal forms. The resonance takes place provided the phase matching conditions
and .
are satisfied. Here is a number of resonantly interacting quasi-harmonic waves; are some integer numbers ; and are small detuning parameters. Example 1. Consider linear transverse oscillations of a thin beam subject to small forced and parametric excitations according to the following governing equation
,
where , , , , , è are some appropriate constants, . This equation can be rewritten in a standard form
,
where , , . At , a solution this equation reads , where the natural frequency satisfies the dispersion relation . If , then slow variations of amplitude satisfy the following equation
where , denotes the group velocity of the amplitude envelope. By averaging the right-hand part of this equation according to (17), we obtain
, at ;
, at and ;
in any other case.
Notice, if the eigen value of approaches zero, then the first-order resonance always appears in the system (this corresponds to the critical Euler force).
The resonant properties in most mechanical systems with time-depending boundary conditions cannot be diagnosed by using the function .
Example 2. Consider the equations (4) with the boundary conditions ; ; . By reducing this system to a standard form and then applying the formula (17), one can define a jump of the function provided the phase matching conditions
è .
are satisfied. At the same time the first-order resonance, experienced by the longitudinal wave at the frequency , cannot be automatically predicted.
References
1. Nelson DF, (1979), Electric, Optic and Acoustic Interactions in Dielectrics, Wiley-Interscience, NY.
2. Kaup P. J., Reiman A. and Bers A. Space-time evolution of nonlinear three-wave interactions. Interactions in a homogeneous medium, Rev. of Modern Phys., (1979) 51 (2), 275-309.
3. Kauderer H (1958), Nichtlineare Mechanik, Springer, Berlin.
4. Haken H. (1983), Advanced Synergetics. Instability Hierarchies of Self-Organizing Systems and devices, Berlin, Springer-Verlag.
5. Kovriguine DA, Potapov AI (1996), Nonlinear wave dynamics of 1D elastic structures, Izvestiya vuzov. Appl. Nonlinear Dynamics, 4 (2), 72-102 (in Russian).
6. Maslov VP (1973), Operator methods, Moscow, Nauka publisher (in Russian).
7. Jezequel L., Lamarque C. - H. Analysis of nonlinear dynamical systems by the normal form theory, J. of Sound and Vibrations, (1991) 149 (3), 429-459.
8. Pellicano F, Amabili M. and Vakakis AF (2000), Nonlinear vibration and multiple resonances of fluid-filled, circular shells, Part 2: Perturbation analysis, Vibration and Acoustics, 122, 355-364.
9. Zhuravlev VF and Klimov DM (1988), Applied methods in the theory of oscillations, Moscow, Nauka publisher (in Russian)
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