Scale Invariance and Lack of Self-Averaging in Fragmentation

Abstract

We derive exact statistical properties of a class of recursive fragmentation processes. We show that introducing a fragmentation probability 0<p<1 leads to a purely algebraic size distribution in one dimension, P(x) ~ x^{-2p}. In d dimensions, the volume distribution diverges algebraically in the small fragment limit, P(V)\sim V^{-γ} with γ=2p^{1/d}. Hence, the entire range of exponents allowed by mass conservation is realized. We demonstrate that this fragmentation process is non-self-averaging. Specifically, the moments Y_α=\sum_i x_i^α exhibit significant fluctuations even in the thermodynamic limit.

arXiv comment4 pages, revtex

References in corpus (3)

• Scaling and Multiscaling in Models of Fragmentation
• Extremal Properties of Random Systems
• Randomly Broken Nuclei and Disordered Systems

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