Box-counting dimension in one-dimensional random geometry of multiplicative cascades

Abstract

We investigate the box-counting dimension of the image of a set $E\subset \mathbb{R}$ under a random multiplicative cascade function $f$. The corresponding result for Hausdorff dimension was established by Benjamini and Schramm in the context of random geometry, and for sufficiently regular sets, the same formula holds for the box-counting dimension. However, we show that this is far from true in general, and we compute explicitly a formula of a very different nature that gives the almost sure box-counting dimension of the random image $f(E)$ when the set $E$ comprises a convergent sequence. In particular, the box-counting dimension of $f(E)$ depends more subtly on $E$ than just on its dimensions. We also obtain lower and upper bounds for the box-counting dimension of the random images for general sets $E$.

26 pages, 4 figures

References in corpus (4)

• KPZ in one dimensional random geometry of multiplicative cascades
• A capacity approach to box and packing dimensions of projections of sets and exceptional directions
• Box-counting dimension in one-dimensional random geometry of multiplicative cascades
• Mandelbrot cascades on random weighted trees and nonlinear smoothing transforms

Cited by in corpus (2)

• Box-counting dimension in one-dimensional random geometry of multiplicative cascades
• Interpolating with generalized Assouad dimensions