Skip to main content
Log in

Multifractal Distribution of Eigenvalues and Eigenvectors from 2D Multiplicative Cascade Multifractal Fields

  • Published:
Mathematical Geology Aims and scope Submit manuscript

Abstract

Two-dimensional fields (maps) generated by isotropic and anisotropic multiplicative cascade multifractal processes are common in many fields including oceans, atmosphere, the climate and solid earth geophysics. Modeling the anisotropic scaling property and heterogeneity of these types of fields are essential for understanding the underlying processes. The paper explicitly derives the eigenvalues and eigenvectors from these types of fields and proves that the eigenvalues and eigenvectors are described by non-conservative multifractal distributions. This results in a new multifractal model implemented in eigen domain to characterize 2D fields not only with respect to overall heterogeneity and singularity as characterized by the ordinary multifractal model applied to the field itself, but also with respect to orientational heterogeneity of the field. It may also result in a new way to characterize the distribution of extreme large eigenvalues involved in other studies such as principal component analysis. A newly defined operator and its properties as derived in this paper may be useful for studying other types of multifractal cascade processes.

This is a preview of subscription content, log in via an institution to check access.

Access this article

Price excludes VAT (USA)
Tax calculation will be finalised during checkout.

Instant access to the full article PDF.

Similar content being viewed by others

References

  • Badii, R., and Politi, A., 1984, Hausdorff dimension and uniformity of strange attractors: Phys. Rev. Lett., v. 52, p. 1661–1664.

    Article  Google Scholar 

  • Badii, R., and Politi, A., 1985, Statistical description of chaotic attractors: The dimension function: J. Stat. Phys., v. 40, p. 725–750.

    Google Scholar 

  • Cheng, Q., 2004, A new model for quantifying anisotropic scale invariance and for decomposition of mixing patterns: Math. Geol., v. 36, no. 3, p. 345–360.

    Article  Google Scholar 

  • Cheng, Q., 1997, Discrete multifractals: Math. Geol., v. 29, no. 2, p. 245–266.

    Google Scholar 

  • Cheng, Q., 1999a, Multifractality and spatial statistics: Computers & Geosciences, v. 25, no. 10, p. 949–961.

    Google Scholar 

  • Cheng, Q., 1999b, The gliding box method for multifractal modeling: Computers & Geosciences, v. 25, no. 10, p. 1073–1079.

    Google Scholar 

  • Cheng, Q., Xu, Y., and Grunsky, E., 2001, Multifractal power spectrum-area method for geochemical anomaly separation: Nat. Resour. Res., v. 9, no.1, p. 43–51.

    Google Scholar 

  • Cheng, Q., Xu, Y., and Grunsky, E., 1999, Integrated spatial and spectrum analysis for geochemical anomaly separation, in Lippard, J. L., Naess, A., and Sinding-Larsen, R., eds., Proceedings of International Association for Mathematical Geology Meeting, Tapir, Trondheim, Norway I, p. 87–92.

  • Cheng, Q., Agterberg, F. P., and Ballantyne, S. B., 1994, The separation of geochemical anomalies from background by fractal methods: J. Geochem. Explor. v. 51, no. 2, p. 109–130.

    Article  Google Scholar 

  • Chhabra, A. B., and Sreenivasan, K. R., 1991, Negative dimensions: theory, computation and experiment: Phys. Rev. A, v. 43, no. 2, p. 1114–1117.

    Article  Google Scholar 

  • Evertsz, C. J. G., and Mandelbrot, B. B., 1992, Multifrtactal measures, in Peitgen, H.-O., Jürgens, H., Saupe, D., eds., Chaos and Fractals, Springer-Verlag, New York, p. 922–953.

    Google Scholar 

  • Feder, J., 1988, Fractals, Plenum Press, New York, 283 p.

    Google Scholar 

  • Frisch, U., and Parisi, G., 1985, On the singularity structure of fully developed turbulence, in Ghil, M., Benzi, R., and Parisi, G., eds., Turbulence and Predictability in Geophysical Fluid Dynamics and Climate Dynamics, North-Holland, New York, p. 84–88.

    Google Scholar 

  • Grassberger, P., 1983, Generalized dimensions of strange attractors: Phys. Lett. A, v. 97, p. 227–230.

    Google Scholar 

  • Halsey, T. C., Jensen, M. H., Kadanoff, L. P., Procaccia, I., and Shraiman, B. I., 1986, Fractal measures and their singularities: The characterization of strange sets: Phys. Rev. A, v. 33, no. 2, p. 1141–1151.

    Article  Google Scholar 

  • Hentschel, H. G. E., and Procaccia, I., 1983, The infinite number of generalized dimensions of fractals and strange attractors: Physica, v. 8, p. 435–444.

    Google Scholar 

  • Li, Q., and Cheng, Q., 2004, Fractal singular-value (eigen-value) decomposition method for geophysical and geochemical anomaly reconstruction, Earth Science, a Journal of China University of Geosciences, v. 29, no. 1, p. 109–118 (in Chinese with English Abstract).

  • Mandelbrot, B. B., 1972, Possible refinement of the lognormal hypothesis concerning the distribution of energy dissipation in intermittent turbulence, in Rosenblatt, M., Van Atta, C., eds., Statistical Models and Turbulence, Lecture Notes in Physics 12, Springer, New York, p. 333–351.

  • Mandelbrot, B. B., 1974, Intermittent turbulence in self-similar cascades: Divergence of high moments and dimension of the carrier: J. Fluid Mech., v. 62, p. 331–358.

    Google Scholar 

  • Paladin, G., and Vulpiani, A., 1987, Anomalous scaling laws in multifractal objects: Phys. Rep., v. 156, no. 4, p. 147–225.

    Article  Google Scholar 

  • Schertzer, D., and Lovejoy, S., eds., 1991: Nonlinear Variability in Geophysics: Kluwer Academic Publisher, Dordrecht, The Netherlands, 318 p.

    Google Scholar 

Download references

Author information

Authors and Affiliations

Authors

Corresponding author

Correspondence to Qiuming Cheng.

Rights and permissions

Reprints and permissions

About this article

Cite this article

Cheng, Q. Multifractal Distribution of Eigenvalues and Eigenvectors from 2D Multiplicative Cascade Multifractal Fields. Math Geol 37, 915–927 (2005). https://doi.org/10.1007/s11004-005-9223-1

Download citation

  • Received:

  • Accepted:

  • Issue Date:

  • DOI: https://doi.org/10.1007/s11004-005-9223-1

Key Words

Navigation