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Attenuation factors in practical Fourier analysis

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Summary

Given a 2 π-periodic functionf, it is desired to approximate itsn-th Fourier coefficientc n (f) in terms of function valuesf μ atN equidistant abscisses

$$x_\mu = \mu 2\pi /N, \mu = 0, 1, ..., N - 1.$$

A time-honored procedure consists in interpolatingf at these points by some 2 π-periodic function ϕ and aproximatingc n (f) byc n (ϕ). In a number of cases, where ϕ is piecewise polynomial, it has been known that\(c_n (\varphi ) = \tau _n \hat c_n (f)\) where\(\hat c_n (f)\) is the trapezoidal rule approximation ofc n (f) andτ n is independent off. Our interest is in the factorsτ n , called attenuation factors. We first clarify the conditions on the approximation processP:f→ϕ under which such attenuation factors arise. It turns out that a necessary and sufficient condition is linearity and translation invariance ofP. The latter means that shifting the periodic dataf={f μ } one place to the right has the effect of shifting ϕ=P f by the same amount. An explicit formula forτ n is obtained for any processP which is linear and translation invariant. For interpolation processes it suffices to obtain a factorizationc n (ϕ)=ω(n)ψ f (n), where ω does not depend onf andψ f (n) has periodN. This also implies existence of attenuation factorsτ n , which are expressible in terms of ω. The results can be extended in two directions: First, the processP may also approximate successive derivative valuesf (x) μ , ϰ=0,1,...,k−1, of the functionf, in which case formulas of the type\(c_n (\varphi ) = \sum\limits_{x = 0}^{k - 1} {\tau _{_{n_{,x} } } \hat c} (f^{(x)} )\) emerge. Secondly,P may be translation invariant overr subintervals,r>1, in which case\(c_n (\varphi ) = \sum\limits_{\varrho = 0}^{r - 1} {\tau _{n,\varrho } \hat c_n + \varrho N/} r(f)\). All results are illustrated by a number of examples, in which ϕ are polynomial and nonpolynomial spline interpolants, including deficient splines, as well as other piecewise polynomial interpolants. These include approximants of low, and medium continuity classes permitting arbitrarily high degree of approximation.

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References

  1. Ahlberg, J. H., Nilson, E. N., Walsh, J. L.: The theory of splines and their application. New York-London: Academic Press 1967.

    Google Scholar 

  2. Bauer, F. L., Stetter, H. J.: Zur numerischen Fourier-Transformation. Numer. Math.1, 208–220 (1959).

    Article  Google Scholar 

  3. Chao, F. H.: A new method of practical harmonic analysis [Chinese]. Acta Math. Sinica6, 433–451 (1956).

    Google Scholar 

  4. Cooley, J. W., Tukey, J. W.: An algorithm for the machine calculation of complex Fourier series. Math. Comp.19, 297–301 (1965).

    Google Scholar 

  5. —, Lewis, P. A. W., Welch, P. D.: The fast Fourier transform and its applications. IEEE Trans. Education E-12, 27–34 (1969).

    Google Scholar 

  6. Dällenbach, W.: Verschärftes rechnerisches Verfahren der harmonischen Analyse. Arch. Elektrotechnik10, 277–282 (1921).

    Google Scholar 

  7. Eagle, A.: On the relations between the Fourier constants of a periodic function and the coefficients determined by harmonic analysis. Philos. Mag.5 (7), 113–132 (1928).

    Google Scholar 

  8. Ehlich, H.: Untersuchungen zur numerischen Fourieranalyse. Math. Z.91, 380–420 (1966).

    Article  Google Scholar 

  9. Gentleman, W. M., Sande, G.: Fast Fourier transforms-for fun and profit, 1966 Fall Joint Computer Conference, AFIPS Proc., vol. 29. Washington D. C.: Spartan 1966.

    Google Scholar 

  10. Golomb, M.: Approximation by periodic spline interpolants on uniform meshes. J. Approximation Theory1, 26–65 (1968).

    Article  Google Scholar 

  11. Hildebrand, F. B.: Introduction to numerical analysis. New York: McGraw-Hill 1956.

    Google Scholar 

  12. Oumoff, N.: Sur l'application de la méthode de Mr. Ludimar Hermann à l'analyse des courbes périodiques. Le Physiologiste Russe1, 52–64 (1898/99).

    Google Scholar 

  13. Quade, W., Collatz, L.: Zur Interpolationstheorie der reellen periodischen Funktionen. Sitzungsber. Preuss. Akad. Wiss.30, 383–429 (1938).

    Google Scholar 

  14. Runge, C.: Theorie und Praxis der Reihen. Leipzig: G. J. Göschen'sche Verlagshandlung 1904.

    Google Scholar 

  15. Salzer, H. E.: Formulas for calculating Fourier coefficients. J. Math. Phys.36, 96–98 (1957).

    Google Scholar 

  16. Schoenberg, I. J.: On spline interpolation at all integer points of the real axis. Colloquium on the Theory of Approximation of Functions (Cluj, 1967). Mathematica (Cluj)10 (33), 151–170 (1968).

    Google Scholar 

  17. Schweikert, D. G.: An interpolation curve using a spline in tension. J. Math. and Phys.45, 312–317 (1966).

    Google Scholar 

  18. Serebrennikov, M. G.: A more exact method of harmonic analysis of empirical periodic curves [Russian]. Akad. Nauk SSSR. Prikl. Mat. Meh.12, 227–232 (1948).

    Google Scholar 

  19. Yuškov, P. P.: The practical harmonic analysis of empirical functions when the given curve is replaced by another approximating the given one by tracing [Russian]. Akad. Nauk SSSR. Inž. Sbornik6, 197–210 (1950).

    Google Scholar 

  20. —: On the correction of the coefficients obtained in the usual practical harmonic analysis [Russian]. Akad. Nauk SSSR. Inž. Sbornik10, 213–222 (1951).

    Google Scholar 

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This work was carried out while the author was Visiting Professor at the Mathematical Institute of the Technical University of Munich, Germany. The work was supported in part by a Fulbright research grant.

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Gautschi, W. Attenuation factors in practical Fourier analysis. Numer. Math. 18, 373–400 (1971). https://doi.org/10.1007/BF01406676

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  • DOI: https://doi.org/10.1007/BF01406676

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