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

DOI10.1007/S00220-022-04558-9arXiv2203.15315MaRDI QIDQ6394982

Sascha Troscheit, Kenneth Falconer

Publication date: 29 March 2022

Abstract: We investigate the box-counting dimension of the image of a set $EsubsetmathbbR$ 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 $E$.

Mathematics Subject Classification ID

Fractals (28A80)

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