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We show a new method of estimating the Hausdorff measure (of the proper dimension) of a fractal set from below. The method requires computing the subsequent closest return times of a point to itself.

Dynamical Systems · Mathematics 2023-08-10 Ł. Pawelec

The Hausdorff distance is a measure of (dis-)similarity between two sets which is widely used in various applications. Most of the applied literature is devoted to the computation for sets consisting of a finite number of points. This has…

Metric Geometry · Mathematics 2020-09-22 Daniel Kraft

The Hausdorff distance is a metric commonly used to compute the set similarity of geometric sets. For sets containing a total of $n$ points, the exact distance can be computed na\"{i}vely in $O(n^2)$ time. In this paper, we show how to…

Computational Geometry · Computer Science 2025-05-16 Oliver A. Chubet , Parth M. Parikh , Donald R. Sheehy , Siddharth S. Sheth

Given a compact basic semi-algebraic set we provide a numerical scheme to approximate as closely as desired, any finite number of moments of the Hausdorff measure on the boundary of this set. This also allows one to approximate interesting…

Optimization and Control · Mathematics 2020-01-22 Jean-Bernard Lasserre , Victor Magron

This paper presents a distance function between sets based on an average of distances between their elements. The distance function is a metric if the sets are non-empty finite subsets of a metric space. It can be applied to produce various…

Metric Geometry · Mathematics 2011-09-13 Osamu Fujita

We provide an algorithm for computing the centered Hausdorff measure of self-similar sets satisfying the strong separation condition. We prove the convergence of the algorithm and test its utility on some examples.

Metric Geometry · Mathematics 2015-05-28 Marta Llorente , Manuel Morán

We consider the directed Hausdorff distance between point sets in the plane, where one or both point sets consist of imprecise points. An imprecise point is modelled by a disc given by its centre and a radius. The actual position of an…

Computational Geometry · Computer Science 2009-09-30 Christian Knauer , Maarten Löffler , Marc Scherfenberg , Thomas Wolle

In this paper we obtain the rates of convergence of the algorithms given in [13] and [14] for an automatic computation of the centered Hausdorff and packing measures of a totally disconnected self-similar set. We evaluate these rates…

Dynamical Systems · Mathematics 2017-04-26 Marta Llorente , M. Eugenia Mera , Manuel Moran

An approach is given for estimating the Hausdorff dimension of the univoque set of a self-similar set. This sometimes allows us to get the exact Hausdorff dimensions of the univoque sets.

Dynamical Systems · Mathematics 2017-08-21 Xiu Chen , Kan Jiang , Wenxia Li

Distance function to a compact set plays a central role in several areas of computational geometry. Methods that rely on it are robust to the perturbations of the data by the Hausdorff noise, but fail in the presence of outliers. The…

Computational Geometry · Computer Science 2011-02-25 Leonidas J. Guibas , Quentin Mérigot , Dmitriy Morozov

Fractional difference sequence spaces have been studied in the literature recently. In this work, some identities or estimates for the operator norms and the Hausdorff measures of noncompactness of certain operators on some difference…

Functional Analysis · Mathematics 2019-02-22 Faruk Özger

In this article, we study the Hausdorff measure of shrinking target sets on self-conformal sets. The Hausdorff dimension of the sets we are interested in here was established by Hill and Velani in 1995. However, until recently, little more…

Dynamical Systems · Mathematics 2021-05-19 Demi Allen , Balázs Bárány

Compact sets in constructive mathematics capture our intuition of what computable subsets of the plane (or any other complete metric space) ought to be. A good representation of compact sets provides an efficient means of creating and…

Logic in Computer Science · Computer Science 2010-08-04 Russell O'Connor

We research proximinality of $\mu$-sequentially compact sets and $\mu$-compact sets in measurable function spaces. Next we show a correspondence between the Kadec-Klee property for convergence in measure and $\mu$-compactness of the sets in…

Functional Analysis · Mathematics 2017-07-11 Maciej Ciesielski , Grzegorz Lewicki

We consider (not self-similar) Cantor sets defined by a sequence of piecewise linear functions. We prove that the dimension of the harmonic measure on such a set is strictly smaller than its Hausdorff dimension. Some Hausdorff measure…

Classical Analysis and ODEs · Mathematics 2013-03-19 Athanasios Batakis , Anna Zdunik

We study fast approximation of integrals with respect to stationary probability measures associated to iterated functions systems on the unit interval. We provide an algorithm for approximating the integrals under certain conditions on the…

Dynamical Systems · Mathematics 2019-07-11 Italo Cipriano , Natalia Jurga

For a bounded linear operator on a Banach space, we study approximation of the spectrum and pseudospectra in the Hausdorff distance. We give sufficient and necessary conditions in terms of pointwise convergence of appropriate spectral…

Functional Analysis · Mathematics 2022-09-12 Marko Lindner , Dennis Schmeckpeper

We calculate the measure and Hausdorff dimension of sets of matrices over fields of formal power series with good approximation properties for a restricted set of denominators.

Number Theory · Mathematics 2007-05-23 Simon Kristensen

In the literature, the Minkowski-sum and the metric-sum of compact sets are highlighted. While the first is associative, the latter is not. But the major drawback of the Minkowski combination is that, by increasing the number of summands,…

Dynamical Systems · Mathematics 2025-04-16 Ekta Agrawal , Saurabh Verma

We establish formulas for bounds on the Haudorff measure of the intersection of certain Cantor sets with their translates. As a consequence we obtain a formula for the Hausdorff dimensions of these intersections.

Metric Geometry · Mathematics 2012-06-25 Steen Pedersen , Jason D. Phillips
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