Search results for "Dimension function"

showing 10 items of 13 documents

Visible parts and dimensions

2003

We study the visible parts of subsets of n-dimensional Euclidean space: a point a of a compact set A is visible from an affine subspace K of n, if the line segment joining PK(a) to a only intersects A at a (here PK denotes projection onto K). The set of all such points visible from a given subspace K is called the visible part of A from K. We prove that if the Hausdorff dimension of a compact set is at most n−1, then the Hausdorff dimension of a visible part is almost surely equal to the Hausdorff dimension of the set. On the other hand, provided that the set has Hausdorff dimension larger than n−1, we have the almost sure lower bound n−1 for the Hausdorff dimensions of visible parts. We al…

Applied MathematicsMathematical analysisMinkowski–Bouligand dimensionMathematics::General TopologyGeneral Physics and AstronomyDimension functionStatistical and Nonlinear PhysicsUrysohn and completely Hausdorff spacesEffective dimensionCombinatoricsPacking dimensionHausdorff distanceHausdorff dimensionMathematics::Metric GeometryHausdorff measureMathematical PhysicsMathematicsNonlinearity
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One-dimensional families of projections

2008

Let m and n be integers with 0 < m < n. We consider the question of how much the Hausdorff dimension of a measure may decrease under typical orthogonal projections from onto m-planes provided that the dimension of the parameter space is one. We verify the best possible lower bound for the dimension drop and illustrate the sharpness of our results by examples. The question stems naturally from the study of measures which are invariant under the geodesic flow.

Applied MathematicsMinkowski–Bouligand dimensionGeneral Physics and AstronomyDimension functionStatistical and Nonlinear PhysicsGeometryParameter spaceEffective dimensionUpper and lower boundsCombinatoricsPacking dimensionHausdorff dimensionInvariant (mathematics)Mathematical PhysicsMathematicsNonlinearity
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Hausdorff dimension from the minimal spanning tree

1993

A technique to estimate the Hausdorff dimension of strange attractors, based on the minimal spanning tree of the point distribution is extensively tested in this work. This method takes into account in some sense the infimum requirement appearing in the definition of the Hausdorff dimension. It provides accurate estimates even for a low number of data points and it is especially suited to high-dimensional systems.

CombinatoricsDiscrete mathematicsHausdorff distancePacking dimensionHausdorff dimensionMathematicsofComputing_NUMERICALANALYSISMinkowski–Bouligand dimensionDimension functionHausdorff measureUrysohn and completely Hausdorff spacesEffective dimensionMathematicsPhysical Review E
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Packing dimension, intersection measures, and isometries

1997

CombinatoricsDiscrete mathematicsPacking dimensionIntersectionGeneral MathematicsHausdorff dimensionDimension functionEffective dimensionMathematicsMathematical Proceedings of the Cambridge Philosophical Society
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Hausdorff measures and dimension

1995

CombinatoricsHausdorff distancePacking dimensionHausdorff dimensionMinkowski–Bouligand dimensionDimension functionHausdorff measureOuter measureEffective dimensionMathematics
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Measure and dimension functions: measurability and densities

1997

During the past several years, new types of geometric measure and dimension have been introduced; the packing measure and dimension, see [Su], [Tr] and [TT1]. These notions are playing an increasingly prevalent role in various aspects of dynamics and measure theory. Packing measure is a sort of dual of Hausdorff measure in that it is defined in terms of packings rather than coverings. However, in contrast to Hausdorff measure, the usual definition of packing measure requires two limiting procedures, first the construction of a premeasure and then a second standard limiting process to obtain the measure. This makes packing measure somewhat delicate to deal with. The question arises as to whe…

Discrete mathematicsPacking dimensionGeneral MathematicsHausdorff dimensionDimension functionOuter measureHausdorff measureEffective dimensionσ-finite measureBorel measureMathematicsMathematical Proceedings of the Cambridge Philosophical Society
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On the conical density properties of measures on $\mathbb{R}^n$

2005

We compare conical density properties and spherical density properties for general Borel measures on $\mathbb{R}^n$ . As a consequence, we obtain results for packing and Hausdorff measures $\mathcal{P}_h$ and $\mathcal{H}_h$ provided that the gauge function $h$ satisfies certain conditions. One consequence of our general results is the following: let $m, n\,{\in}\,\mathbb{N}, 0\,{\lt}\,s\,{\lt}\,m\,{\leq}\,n$ , $0\,{\lt}\,\eta\,{\lt}\,1$ , and suppose that $V$ is an $m$ -dimensional linear subspace of $\mathbb{R}^n$ . Let $\mu$ be either the $s$ -dimensional Hausdorff measure or the $s$ -dimensional packing measure restricted to a set $A$ with $\mu(A)\,{\lt}\,\infty$ . Then for $\mu$ -almos…

Discrete mathematicsRandom measureGeneral MathematicsDimension functionOuter measureHausdorff measureBorel setσ-finite measureBorel measureLinear subspaceMathematicsMathematical Proceedings of the Cambridge Philosophical Society
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An optimal extension of Marstrand?s plane-packing theorem

2003

We prove that if F is a subset of the 2-dimensional unit sphere in $\mathbb{R}^3$, with Hausdorff dimension strictly greater than 1, and E is a subset of $\mathbb{R}^3$ such that for each $e \in F$, E contains a plane perpendicular to the vector e, then E must have positive 3-dimensional Lebesgue measure.

Discrete mathematicsUnit spheresymbols.namesakePacking dimensionLebesgue measureGeneral MathematicsHausdorff dimensionsymbolsDimension functionHausdorff measureLebesgue covering dimensionEffective dimensionMathematicsArchiv der Mathematik
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Local dimensions of measures on infinitely generated self-affine sets

2014

We show the existence of the local dimension of an invariant probability measure on an infinitely generated self-affine set, for almost all translations. This implies that an ergodic probability measure is exactly dimensional. Furthermore the local dimension equals the minimum of the local Lyapunov dimension and the dimension of the space. We also give an estimate, that holds for all translation vectors, with only assuming the affine maps to be contractive.

Discrete mathematicsmatematiikka28A80Applied Mathematicsta111Minkowski–Bouligand dimensionDimension functionMetric Geometry (math.MG)Dynamical Systems (math.DS)Complex dimensionEffective dimensionPacking dimensionMathematics - Metric GeometryHausdorff dimensionFOS: MathematicsdimensionsMathematics - Dynamical SystemsDimension theory (algebra)Inductive dimensionulottuvuudetAnalysisMathematicsJournal of Mathematical Analysis and Applications
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On Upper Conical Density Results

2010

We report a recent development on the theory of upper conical densities. More precisely, we look at what can be said in this respect for other measures than just the Hausdorff measure. We illustrate the methods involved by proving a result for the packing measure and for a purely unrectifiable doubling measure.

Geometric measure theoryMathematical analysisMathematics::Metric GeometryDimension functionHausdorff measureDevelopment (differential geometry)Conical surfaceMeasure (mathematics)Mathematics
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