
Summary: Let \(m\) and \(n\) be integers with \(0 0\}= \dim_H\mu- m \] provided that \(\dim_H\mu> m\). Here \(\mu_{V,a}\) is the sliced measure and \(V^{\perp}\) is the orthogonal complement of \(V\). If the \((m+d)\)-energy of the measure \(\mu\) is finite for some \(d> 0\), then for almost all \((n- m)\)-dimensional linear subspaces \(V\) we have \[ \text{ess inf}\{\dim_P \mu_{V,a}: a\in V^{\perp}\text{ with }\mu_{V,a}(\mathbb{R}^n)> 0\}= d_\mu. \] Here \(\dim_P\) is the packing dimension and \(d_\mu\) is a constant defined by means of the convolution of \(\mu\) with a certain kernel. We also deduce corresponding results for the upper packing and upper Hausdorff dimensions.
Length, area, volume, other geometric measure theory, Hausdorff and packing measures, sections of measures, packing dimension, Hausdorff dimension, sliced measure
Length, area, volume, other geometric measure theory, Hausdorff and packing measures, sections of measures, packing dimension, Hausdorff dimension, sliced measure
| citations This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically). | 14 | |
| popularity This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network. | Average | |
| influence This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically). | Top 10% | |
| impulse This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network. | Average |
