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Potential Scattering on Fractals in One Dimension

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Fractals in Engineering
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Abstract

Scattering is known to be a powerful method of analysing fractal systems. A classical heuristic result in small-angle X-ray or neutron scattering relates the scattered intensity I(q) in the high-frequency regime to some power-law of the momentum transfer q

$$I\left( q \right) \sim {\left| q \right|^{ - D}},$$

where D is some fractal dimension of the scatterer. In the last decade, the case of one-dimensional systems has been studied more rigorously, in the framework of optical and quantum scattering ([1], [2],[13],[19],[14]). For deterministic fractals such as Cantor-like features, the heuristic argument needs to be refined. As was first pointed out in ([1]), some scaling law actually exists if one performs frequency averages on the scattering data. Indeed as figure 1.1 shows, the reflection coefficient for quantum scattering on a triadic Cantor measure gives a “wrong” scaling. Only after some suitable averages have been performed, the right scaling behavior is recovered (figure 1.2). Recently, a general method was proposed ([7]) to retrieve a fractal dimension, namely the correlation dimension, of a potential barrier from the reflection amplitude. In this paper, we wish to give further developments to this method. In particular, we show how the same kind of results can be extended to the scattering phase for half-line scattering. Moreover we shall show how to recover the self-similarity (if there is any) of the potential through a large scale renormalization of the scattering amplitude and scattering phase, respectively.

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References

  1. Allain, C, Cloitre, M. (1985): Optical diffraction on fractals. Phys. Rev. B, 33(5), 3566–3569.

    Article  Google Scholar 

  2. Allain, C, Cloitre, M. (1987): Spatial spectrum of a general family of self-similar arrays. Physical Review A, 36(12), 5751–5757.

    Article  MathSciNet  Google Scholar 

  3. Daubechies, I. (1992): Ten Lectures on Wavelets. SIAM.

    MATH  Google Scholar 

  4. Deift, P., Trubovitz, E. (1979): Inverse scattering on the line. Comm. Pure Appl. Math., 32, 121–251.

    Article  MathSciNet  MATH  Google Scholar 

  5. Grossmann, A., Morlet, J. (1984): Decomposition of Hardy functions into square integrable wavelets of constant shape. SIAM J. Math. Anal., 15(2).

    Article  MathSciNet  Google Scholar 

  6. Guerin, CA., Holschneider, M. (1995): l2-Fourier asymptotic of self-similar measures. Preprint CPT, (P.3266).

    Google Scholar 

  7. Guerin, CA., Holschneider, M. (1996): Scattering on fractal measures. J. Phys. A: Math. Gen., (29), 7651–7667.

    Article  MathSciNet  MATH  Google Scholar 

  8. Guerin, CA., Holschneider, M. (1997): On equivalent definitions of the correlation dimension for a probability measure. Joum. Stat. Phys.

    Google Scholar 

  9. Holschneider, M. (1994): Fractal wavelet dimension and localization. Comm. Math. Phys., 160, 457–473.

    Article  MathSciNet  MATH  Google Scholar 

  10. Holschneider, M. (1995): Wavelets, an Analytical Tool. Oxford University Press.

    Google Scholar 

  11. Holschneider, M. (1996): Large scale renormalisation of fourier transforms of self-similar measures and self-similarity of Riesz measures. J. of Math. Anal and Appl, (200), 307–314.

    Article  MathSciNet  MATH  Google Scholar 

  12. Hutchinson, J.E. (1981): Fractals and self similarity. Ind. Univ. Math. Jour., 30(5), 713–746.

    Article  MathSciNet  MATH  Google Scholar 

  13. Jaggard, D.L., Sun, X. (1990): Reflection from fractal multilayers. Opt. Lett., 15, 1428–1430.

    Article  Google Scholar 

  14. Konotop, V.V., Yordanov, O.I., Yurkevitch, I.V. (1990): Wave transmission through a one-dimensional Cantor-like fractal medium. EuroPhys.Lett, 12(6), 481–485.

    Article  Google Scholar 

  15. Lau, K.S., Wang, J. (1993): Mean quadratic variations and Fourier asymptotics of self-similar measures. Monatsh. Math., 115, 99–132.

    Article  MathSciNet  MATH  Google Scholar 

  16. Pesin, Y.B. (1993): On rigorous mathematical definition of the correlation dimension and generalized spectrum for dimension. Joum. Stat. Phys., 71(3/4), 529–547.

    Article  MathSciNet  MATH  Google Scholar 

  17. Strichartz, R.S. (1990): Self-similar measures and their Fourier transform 1. Indiana Univ. Math. Journ., 39(3), 797–817.

    Article  MathSciNet  MATH  Google Scholar 

  18. Strichartz, R.S. (1993): Self-similar measures and their Fourier transform 2. Trans. Am. Math. Soc, 336(1), 335–361.

    Article  MathSciNet  MATH  Google Scholar 

  19. Sun, X., Jaggard, D.L. (1991): Wave interactions with generalized Cantor bar fractal multilayers. J. Appl. Phys., 70, 2500–2507.

    Article  Google Scholar 

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© 1997 Springer-Verlag London Limited

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Guerin, CA., Holschneider, M. (1997). Potential Scattering on Fractals in One Dimension. In: Lévy Véhel, J., Lutton, E., Tricot, C. (eds) Fractals in Engineering. Springer, London. https://doi.org/10.1007/978-1-4471-0995-2_20

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  • DOI: https://doi.org/10.1007/978-1-4471-0995-2_20

  • Publisher Name: Springer, London

  • Print ISBN: 978-1-4471-1253-2

  • Online ISBN: 978-1-4471-0995-2

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