No. 27 (286), issue 13Pages 35 - 44 Optimization of a Polyhamonic Impulse
V.N. Ermolenko, V.A. Kostin, D.V. Kostin, Yu.I. Sapronov In theory and practice of building some technical devices, it is necessary to optimize trigonometric polynomials. In this article, we provide optimization of a trigonometric polynomial (polyharmonic impulse) $f(t):=sumlimits_{k=1}^n,f_kcos(kt)$ with the asymmetry coefficient $k := frac{f_{max}}{|f_{min}|}, f_{max} := maxlimits_t,f(t,lambda), f_{min} := minlimits_t,f(t,lambda)$. We have calculated optimal values of main amplitudes. The basis of the analysis represented in the article is the idea of the "minimal Maxwell stratum'' by which we understand the subset of polynomials of a fixed degree with maximal possible number of minima under condition that all these minima are located at the same level. Polynomial $f(t)$ is then called maxwellian. The starting point of the present study was an experimentally obtained optimal set of coefficients $f_k$ for arbitrary $n$. Later, we proved uniqueness of the optimal polynomial with maximal number of minima on interval $[0,pi]$ and derived general formula of a maxwellian polynomial of degree $n$, which was related to Fejer kernel with the asymmetry coefficient $n$. Thus, a natural hypothesis arose that Fejer kernel should define the optimal polynomial. The present paper provides justification of this hypothesis.
Full text- Keywords
- polyharmonic impulse, trigonometric polynom, asymmetry coefficient, optimization, Maxwell stratum, orthogonal polynomials.
- References
- 1. Darinskii B.M., Sapronov Yu.I., Tsarev S.L. Bifurcations of Extremals of Fredholm Functionals. J. of Mathematical Sciences, 2007, vol. 145, no. 6, pp. 5311-5453.
2. Ermolenko V.N. Innovative Solutions for Pile Deep Foundation [Innovatsionnye resheniya dlya svaynogo fundamentostroeniya]. Stroyprofil', 2010, no. 6 (84), pp. 20-22.
3. Shestakov A.L., Sviridyuk G.A. Optimal Measurement of Dynamically Distorted Signals. Vestnik Yuzhno-Ural'skogo gosudarstvennogo universiteta. Seriya "Matematicheskoe modelirovanie i programmirovanie" - Bulletin of South Ural State University. Seria "Mathematical Modelling, Programming & Computer Software", 2011, no. 17(234), issue 8, pp. 70-75.
4. Maslov V.P. Teoriya vozmushcheniy i asimptoticheskie metody [Perturbation Theory and Asymptotic Methods]. Moscow, Publishing House of Moscow State University, 1965. 553 p.
5. Brocker Th., Lander L. Differentiable Germs and Catastrophes. London Mathematical Society. Lecture Notes Series 17, Cambridge University Press, 1975. 178 p.
6. Gilmore R. Catastrophe Theory for Scientists and Engineers. N. Y., Dover, 1993.
7. Arnold V.I., Varchenko A.N., Gusein-Zade S.M. Singularities of Differentiable Maps. Volume 1: The Classification of Critical Points Caustics, Wave Fronts. Birkh'auser Boston, 1985. 396 p.
8. Poston T., Stewart I. Catastrophe: Theory and Its Applications. N. Y., Dover, 1998.
9. Szego G. Orthogonal Polynomials. American Mathematical Society, 1939. 432 p.