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In this paper, we investigate the quantization dimension of self-similar measures, particularly when the IFS does not satisfy the separation condition, but the sub-IFS at some level satisfies the separation condition. Further, we study the…

Dynamical Systems · Mathematics 2026-01-30 Saurabh Verma , Shivam Dubey

We introduce a probability distribution on $\mathcal{P}([0,1]^d)$, the space of all Borel probability measures on $[0,1]^d$. Under this distribution, almost all measures are shown to have infinite upper quasi-Assouad dimension and zero…

Metric Geometry · Mathematics 2019-09-26 Wanchun Shen

We provide a complete picture of the upper quantization dimension in terms of the R\'enyi dimension by proving that the upper quantization dimension $\bar{D}_{r}(\nu)$ of order $r>0$ for an arbitrary compactly supported Borel probability…

Probability · Mathematics 2024-01-05 Marc Kesseböhmer , Aljoscha Niemann , Sanguo Zhu

We investigate the possibility of defining meaningful upper and lower quantization dimensions for a compactly supported Borel probability measure of order $r$, including negative values of $r$. To this end, we use the concept of partition…

Probability · Mathematics 2026-01-14 Marc Kesseböhmer , Aljoscha Niemann

In analogy with the lower Assouad dimensions of a set, we study the lower Assouad dimensions of a measure. As with the upper Assouad dimensions, the lower Assouad dimensions of a measure provide information about the extreme local behaviour…

Metric Geometry · Mathematics 2021-07-01 Kathryn E. Hare , Sascha Troscheit

Let $\mu$ be a Borel probability measure generated by a hyperbolic recurrent iterated function system defined on a nonempty compact subset of $\mathbb R^k$. We study the Hausdorff and the packing dimensions, and the quantization dimensions…

Dynamical Systems · Mathematics 2020-10-05 Mrinal Kanti Roychowdhury , Bilel Selmi

Let $\nu$ be a Borel probability measure on a $d$-dimensional Euclidean space $\mathbb{R}^d$, $d\geq 1$, with a compact support, and let $(p_0, p_1, p_2, \ldots, p_N)$ be a probability vector with $p_j>0$ for $0\leq j\leq N$. Let $\{S_j:…

Probability · Mathematics 2025-02-25 Amit Priyadarshi , Mrinal K. Roychowdhury , Manuj Verma

We study the packing dimension of Borel measures under orthogonal projections. We give a necessary and sufficient condition such that typical projections of Borel probability measures have full packing dimension and derive general lower…

Classical Analysis and ODEs · Mathematics 2026-04-21 Nicolas Angelini

The upper and lower Assouad dimensions of a metric space are local variants of the box dimensions of the space and provide quantitative information about the `thickest' and `thinnest' parts of the set. Less extreme versions of these…

Classical Analysis and ODEs · Mathematics 2021-02-03 Kathryn E. Hare , Kevin G. Hare

Using probabilistic ideas, we prove that the packing dimension of a mean porous measure is strictly smaller than the dimension of the ambient space. Moreover, we give an explicit bound for the packing dimension, which is asymptotically…

Classical Analysis and ODEs · Mathematics 2013-03-25 Pablo Shmerkin

In this paper, we introduce and develop the concept of conditional quantization for Borel probability measures on $\mathbb{R}^k,$ considering both constrained and unconstrained frameworks. For each setting, we define the associated…

Probability · Mathematics 2025-06-06 Megha Pandey , Mrinal Kanti Roychowdhury

For a given $r\in (0, +\infty)$, the quantization dimension of order $r$, if it exists, denoted by $D_r(\mu)$, of a Borel probability measure $\mu$ on ${\mathbb R}^d$ represents the speed how fast the $n$th quantization error of order $r$…

Dynamical Systems · Mathematics 2025-03-17 Shivam Dubey , Mrinal Kanti Roychowdhury , Saurabh Verma

We construct the entropic measure $\mathbb{P}^\beta$ on compact manifolds of any dimension. It is defined as the push forward of the Dirichlet process (another random probability measure, well-known to exist on spaces of any dimension)…

Probability · Mathematics 2009-01-14 Karl-Theodor Sturm

We show that if $X$ is a uniformly perfect complete metric space satisfying the finite doubling property, then there exists a fully supported measure with lower regularity dimension as close to the lower dimension of $X$ as we wish.…

Classical Analysis and ODEs · Mathematics 2018-05-22 Antti Käenmäki , Juha Lehrbäck

In this paper we consider the relationship between the Assouad and box-counting dimension and how both behave under the operation of taking products. We introduce the notion of `equi-homogeneity' of a set, which requires a uniformity in the…

Classical Analysis and ODEs · Mathematics 2015-12-16 Eric J. Olson , James C. Robinson , Nicholas Sharples

Let $E$ be a subset of a doubling metric space $(X,d)$. We prove that for any $s\in [0, \dim_{A}E]$, where $\dim_{A}$ denotes the Assouad dimension, there exists a subset $F$ of $E$ such that $\dim_{A}F=s$. We also show that the same…

Metric Geometry · Mathematics 2016-02-09 Changhao Chen , Meng Wu , Wen Wu

We investigate the Lebesgue measure, Hausdorff dimension, and Fourier dimension of sets of the form $RY + Z, $ where $R \subseteq (0,\infty)$ and $Y, Z \subseteq \mathbb{R}^d$. We prove a theorem on the Lebesgue measure and Hausdorff…

Classical Analysis and ODEs · Mathematics 2021-02-09 Kyle Hambrook , Krystal Taylor

Let $M$ be a compact $n$-dimensional Riemanian manifold, End($M$) the set of the endomorphisms of $M$ with the usual $\mathcal{C}^0$ topology and $\phi: M\to\mathbb{R}$ continuous. We prove that there exists a dense subset of $\mathcal{A}$…

Dynamical Systems · Mathematics 2021-02-25 Tatiane Cardoso Batista , Juliano dos Santos Gonschorowski , Fabio Armando Tal

In this paper we study the Assouad-like $\Phi$ dimensions of sets and measures that are constructed by a random weighted iterated function system of similarities. These dimensions are distinguished by the depth of the scales considered and…

Classical Analysis and ODEs · Mathematics 2025-03-27 Kathryn E. Hare , Franklin Mendivil

We consider the problem of computing the minimum value $f_{\min,K}$ of a polynomial $f$ over a compact set $K \subseteq \mathbb{R}^n$, which can be reformulated as finding a probability measure $\nu$ on $K$ minimizing $\int_K f d\nu$.…

Optimization and Control · Mathematics 2020-01-31 Lucas Slot , Monique Laurent
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