Mikhail S. Sidorenko
Saint Petersburg State University
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Featured researches published by Mikhail S. Sidorenko.
Journal of Physics A | 2007
Maria V. Perel; Mikhail S. Sidorenko
An exact solution of the homogeneous wave equation, which was found previously, is treated from the point of view of continuous wavelet analysis (CWA). If time is a fixed parameter, the solution represents a new multidimensional mother wavelet for the CWA. Both the wavelet and its Fourier transform are given by explicit formulae and are exponentially localized. The wavelet is directional. The widths of the wavelet and the uncertainty relation are investigated numerically. If a certain parameter is large, the wavelet behaves asymptotically as the Morlet wavelet. The solution is a new physical wavelet in the definition of Kaiser, it may be interpreted as a sum of two parts: an advanced and a retarded part, both being fields of a pulsed point source moving at a speed of wave propagation along a straight line in complex spacetime.
Archive | 2003
Maria V. Perel; Mikhail S. Sidorenko
We propose a new method for solving the Cauchy problem for the wave equation in three dimensional space. The method is based on continuous waveletanalysis. We show that the exact non-stationary solution of the wave equation with finite energy found in [1] at any fixed moment of time should be regarded as a mother wavelet. This solution was named in [1] as a “Gaussian wave packet”. It is a new three-dimensional axially symmetric wavelet which is given by a simple explicit formula as well as its Fourier transformation. This wavelet has an infinite number of vanishing moments. It is a smooth function, i.e. it has derivatives of any order with respect to spatial coordinates and time. We show that using the wavelet decomposition of the initial data we can find the exact formula for the solution of the Cauchy problem as a linear superposition of “Gaussian packets”.
days on diffraction | 2006
Maria V. Perel; Mikhail S. Sidorenko
The new approach to the wavelet analysis for the solutions of the homogeneous wave equation in three spatial dimensions is presented. The approach is based on the ideas suggested by G. Kaiser but has different implementation and has some advantages versus the known approach. A new physical wavelet for this wavelet analysis is also presented, with the brief discussion of its main properties. The wavelet analysis has become widely used during the last twenty years and it has a lot of applications nowadays. However most of them are in the field of the numerical processing of the experimental data, digital images, astronomical, geophysical and medical data and other applications of that kind (see, for example, [1], [2]). The amount of the results in the application of the methods of the continuous wavelet analysis to the solutions of the differential equations is not large. In particular the continuous wavelet analysis for the solutions of the three-dimensional homogeneous wave equations with a constant wave speed was first developed by G. Kaiser in his book [3]. He suggests a method for decomposition of the solutions of the wave equation in terms of the localized solutions of the same equation based on the analytic signal transform and on the theory of the analytic functions of several variables. The wavelet for such decomposition was also suggested, and the class of such wavelets was named ’physical wavelets’. The sort of the wavelet analysis developed by Kaiser is close to the holomorphic wavelet transform (see, for example, [2]). However, this approach may be found unfamiliar by the people who deal with the wavelet analysis within the framework of the signal and image processing. The aims of this paper are as follows. First we develop the wavelet analysis for the solutions of the wave equation not involving the analytic signal transform. The ideas, which we base on, were suggested by Kaiser in [3], however their implementation here differs from his approach. The method we use is intrinsic to the common continuous wavelet transform and we hope will be more familiar to the people who work in the area of the signal and image processing. Our approach also provides some advantages in comparison to that, suggested by Kaiser. We enlarge the class of solutions which can be used as the mother wavelets for the analysis. The second aim is to find a new physical wavelet for our method, i.e., to find the solution of the wave equation which will be an admissible wavelet. The new wavelet is constructed by means of the field of point sources and of proxy wavelets using the technique suggested by G. Kaiser. This new spherically symmetric physical wavelet has good properties such as exponential localization in both the coordinate and the Fourier
days on diffraction | 2011
Maria V. Perel; Mikhail S. Sidorenko
We consider a one-dimensional photonic crystal consisting of alternating dielectric layers of two types. The dispersion relation for such a crystal gives the dependence of the frequency on the transverse wave vector and the quasi-momentum. If the frequency of the incident wave coincides with the frequency of the saddle point, the behavior of the envelope of the wave field is determined by the hyperbolic equation, where the longitudinal coordinate plays the role of time. Depending on the parameters of the isofrequency contour, the canalization or localization of the wave field may occur. If the parameters correspond to the localization, it can be achieved by a proper choice of the field distribution on the surface of the crystal.
Archive | 2010
Maria V. Perel; Mikhail S. Sidorenko
We consider here an initial value problem for the homogeneous wave equation with constant coefficients in three spatial dimensions, that is,
days on diffraction | 2016
Maria V. Perel; Mikhail S. Sidorenko
ursi general assembly and scientific symposium | 2017
Maria V. Perel; Mikhail S. Sidorenko
\begin{cases}u_{tt} - c^2 (u_{xx} + u_{yy} + u_{zz}) = 0,\\ u|_{t=0} = w({\bf r}), \quad \left.\frac{\partial u}{\partial t}\right|_{t=0} = v({\bf r}).\end{cases}
ursi general assembly and scientific symposium | 2011
Mikhail S. Sidorenko
Journal of Physics A | 2009
Maria V. Perel; Mikhail S. Sidorenko
(27.1) The number of dimensions is not essential, and the method proposed can be generalized with minor changes to the case of an arbitrary number of spatial dimensions. We suppose that the initial data for the problem (27.1) has a complicated multiscale structure, i.e., the initial data possesses rapid changes of local frequency, a high degree of localization, singularities, discontinuities, and sharp edges. An example of such data is presented in Figure 27.1. We also note that this image is represented in discrete, not analytic, form. The most convenient mathematical apparatus for describing initial data of this kind is a continuous wavelet transform [AnMu04]. Not only does the wavelet transform contain complete information about the local structure of the data, i.e., it has an inverse, but it is also known to be the most adequate transform for qualitative analysis of the data.
Physical Review B | 2012
Mikhail S. Sidorenko; Maria V. Perel
We develop an asymptotic method for studying a two-scale monochromatic electromagnetic field in the whole space filled with a periodic layered medium. The frequency of the field is assumed to be close to the frequency of some stationary point of the dispersion surface. In the principle order of the result, the envelopes of the electromagnetic field are governed by a system of hyperbolic or elliptic equations.