We investigate the box-counting dimension of the image of a set under a random multiplicative cascade function . 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 () when the set comprises a convergent sequence. In particular, the box-counting dimension of () depends more subtly on than just on its dimensions. We also obtain lower and upper bounds for the box-counting dimension of the random images for general sets .
Download full-text PDF |
Source |
---|---|
http://www.ncbi.nlm.nih.gov/pmc/articles/PMC10049965 | PMC |
http://dx.doi.org/10.1007/s00220-022-04558-9 | DOI Listing |
Enter search terms and have AI summaries delivered each week - change queries or unsubscribe any time!