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

Author:

Michelitsch Thomas1,Maugin Gérard1,Nowakowski Andrzej2,Nicolleau Franck2,Rahman Mujibur3

Affiliation:

1. Institut Jean le Rond d’Alembert, CNRS UMR 7190, Université Pierre et Marie Curie (Paris 6), 4 Place Jussieu, 75252, Paris Cedex 05, France

2. Sheffield Fluid Mechanics Group, Department of Mechanical Engineering, University of Sheffield, Mappin Street, Sheffield, S1 3JD, UK

3. General Electric Energy, 300 Garlington Road, Greenville, SC, 29615, USA

Abstract

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 $ - ( - \Delta )^{\tfrac{\alpha } {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 ∼ $\omega ^{\tfrac{{2n}} {\alpha } - 1} $ with a positive exponent $\tfrac{{2n}} {\alpha } - 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.

Publisher

Springer Science and Business Media LLC

Subject

Applied Mathematics,Analysis

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