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Packing intermediate dimensions of measures and applications

Nicolas Angelini

Source record

Source: arXiv

Published: Oct 13, 2026

arXiv: 2610.18929

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Source abstract

We introduce a spectrum of dimensions of measures, the \emph{packing intermediate dimensions} dim⁡P,θμ\dim_{P,θ}μ, θ∈(0,1]θ\in(0,1], of a Borel probability measure μμ on Rn\mathbb{R}^n and the \emph{quasi-Hausdorff dimension} dim⁡qHμ\dim_{qH}μ. We show that this spectrum encodes the information on μμ that governs the packing dimension of its projections and Hölder images. First, dim⁡qHμ\dim_{qH}μ is the exact threshold for the packing dimension profiles of Falconer and Howroyd: for every real 0<s≤n0<s\leq n, dim⁡Psμ=s\dim_P^sμ=s if and only if s≤dim⁡qHμs\leq\dim_{qH}μ. Second, we prove a lower bound for the profiles in terms of dim⁡Hμ\dim_Hμ, dim⁡P,θμ\dim_{P,θ}μ and the Assouad dimension of supp⁡μ\operatorname{supp}μ, which improves the bound of Falconer and Mattila, the best previously known general lower bound for the packing dimension of projected measures. The improvement is strict whenever dim⁡Hμ<dim⁡Pμ\dim_Hμ<\dim_Pμ and dim⁡A(supp⁡μ)<n\dim_A(\operatorname{supp}μ)<n, and when dim⁡A(supp⁡μ)=n\dim_A(\operatorname{supp}μ)=n it occurs exactly when dim⁡P,θμ\dim_{P,θ}μ exceeds an explicit universal lower bound for some θθ in an explicit range. We present examples of measures with dim⁡Hμ<dim⁡Pμ<dim⁡A(supp⁡μ)=n\dim_Hμ<\dim_Pμ<\dim_A(\operatorname{supp}μ)=n for which our bound gives the exact value dim⁡PμV=min⁡{dim⁡Pμ,m}\dim_Pμ_V=\min\{\dim_Pμ,m\} for almost every mm-dimensional subspace VV, whereas the bound of Falconer and Mattila is strictly smaller. As applications, for a large family of random αα-Hölder maps fω:Rn→Rmf_ω:\mathbb{R}^n\to\mathbb{R}^m, we prove that, for compactly supported μμ, dim⁡Pμfω=m\dim_Pμ_{f_ω}=m almost surely if and only if αm≤dim⁡qHμαm\leq\dim_{qH}μ, and that the packing analogue of Kahane's formula holds for fractional Brownian motions if and only if dim⁡qHμ=dim⁡Pμ\dim_{qH}μ=\dim_Pμ. Analogous results are obtained for analytic sets.

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Packing intermediate dimensions of measures and applications — Mathematical Frontier Network