The fractional Laplacian as a limiting case of a self-similar spring model and applications to n-dimensional anomalous diffusion

21Citations
Citations of this article
9Readers
Mendeley users who have this article in their library.
Get full text

Abstract

We analyze the "fractional continuum limit" and its generalization to n dimensions of a self-similar discrete spring model which we introduced recently [21]. Application of Hamilton's (variational) principle determines in rigorous manner a self-similar and as consequence non-local Laplacian operator. In the fractional continuum limit the discrete self-similar Laplacian takes the form of the fractional Laplacian -(-Δ) α/2 with 0 < α < 2. We analyze the fundamental link of fractal vibrational features of the discrete self-similar spring model and the smooth regular ones of the corresponding fractional continuum limit model in n dimensions: We find a characteristic scaling law for the density of normal modes ∼ ω2n/α-1 with a positive exponent 2n/α-1 > n - 1 being always greater than n-1 characterizing a regular lattice with local interparticle interactions. Furthermore, we study in this setting anomalous diffusion generated by this Laplacian which is the source of Lévi flights in n-dimensions. In the limit of "large scaled times" ∼ t/r α >> 1 we show that all distributions exhibit the same asymptotically algebraic decay ∼ t -n/α → 0 independent from the initial distribution and spatial position. This universal scaling depends only on the ratio n/α of the dimension n of the physical space and the Lévi parameter α. © 2013 Versita Warsaw and Springer-Verlag Wien.

Cite

CITATION STYLE

APA

Michelitsch, T. M., Maugin, G. A., Nowakowski, A. F., Nicolleau, F. C. G. A., & Rahman, M. (2013). The fractional Laplacian as a limiting case of a self-similar spring model and applications to n-dimensional anomalous diffusion. Fractional Calculus and Applied Analysis, 16(4), 827–859. https://doi.org/10.2478/s13540-013-0052-5

Register to see more suggestions

Mendeley helps you to discover research relevant for your work.

Already have an account?

Save time finding and organizing research with Mendeley

Sign up for free