Randomness and Apparent Fractality
1997
Abstract
We show that when the standard techniques for calculating fractal dimensions in empirical data (such as the box counting) are applied on uniformly random structures, apparent fractal behavior is observed in a range between physically relevant cutoffs. This range, spanning between one and two decades for densities of 0.1 and lower, is in good agreement with the typical range observed in experiments. The dimensions are not universal and depend on density. Our observations are applicable to spatial, temporal and spectral random structures, all with non-zero measure. Fat fractal analysis does not seem to add information over routine fractal analysis procedures. Most significantly, we find that this apparent fractal behavior is robust even to the presence of moderate correlations. We thus propose that apparent fractal behavior observed experimentally over a limited range in some systems, may often have its origin in underlying randomness.
References (19)
- B. B. Mandelbrot. The Fractal Geometry of Nature. Freeman, San Francisco, 1982.
- J. Feder and A. Aharony, editor. Fractals in Physics, Essays in Honour of B.B. Mandelbrot. North Holland, Amsterdam, 1990.
- D. Avnir, editor. The Fractal Approach to Heterogeneous Chemistry: Surfaces, Colloids, Polymers. John Wiley & Sons Ltd., Chichester, 1992.
- A. Bunde, S. Havlin, editor. Fractals in Science. Springer, Berlin, 1994.
- H. E. Stanley, N. Ostrowsky, editor. On Growth and Form. Number 100 in NATO ASI Ser. E. Martinus Nijhoff, Dordrecht, 1986.
- M. Schroeder. Fractals, Chaos, Power Laws. W.H. Freeman, N.Y., 1991.
- Such models include for example: diffusion limited aggregation (T. A. Witten and L. M. Sander, Phys. Rev. Lett. 47, 1400 (1981)); percolation models (see e.g., D. Stauffer, Introduction to Percolation Theory, Taylor and Francis, London, 1985); and sand pile models which exhibit self organized critical behavior (P. Bak, C. Tang and K. Wiesenfeld, Phys. Rev. Lett. 59, 381 (1987)).
- D.A. Hamburger, O. Biham and D. Avnir. Phys. Rev. E. 53, 3342 (1996).
- Similar arguments were used recently [C. Tsallis, S.V.F. Levy, A.M.C. Souza and R. Maynard, Phys. Rev. Lett. 75, 3589 (1995)] to argue for the ubiquity of Lévy distributions in Nature. There it is the second moment which is imposed as a constraint in an information theoretic argument.
- We have also applied the "Minkowski Sausage" technique. In one dimen- sion the two methods naturally provide identical results while we found that in two and three dimensions they slightly differ. 8 Both methods measure D 0 . Elsewhere we will treat the case of D q , q = 0.
- P. Pfeifer and M. Obert, in Ref.[3], p.16.
- Many authors report their results on a log 2 or log e scale, which may give a misleading impression of a larger scaling range than is actually available. We urge that all results are reported on a log 10 scale.
- H.L. Weissberg. J. Appl. Phys.34, 2636 (1963).
- S. Torquato, G. Stell. J. Chem. Phys. 79, 1505 (1983).
- The idea is to pick one box and then randomly deposit M rods of size d on the unit interval. The probability that the chosen box remains empty is q = [1 -(r + d/L)] M and thus the probability that it will intersect at least one rod is p = 1 -q.
- This excellent agreement appears for all scales in r including the ranges of slope=1. This was also confirmed for other choices of M and d values and even for very large η where apparent fractal behavior is not seen.
- R. Eykholt and D.K. Umberger. Physica D 30, 43 (1988).
- D.A. Hamburger, A.T. Yinnon and R.B. Gerber. Chem. Phys. Lett. 253, 223 (1996).
- D.K. Umberger and J.D. Farmer. Phys. Rev. Lett. 55, 661 (1985).