Abstract

We present a comprehensive framework for the study of the size and large intersection properties of sets of limsup type that arise naturally in Diophantine approximation and multifractal analysis. This setting encompasses the classical ubiquity techniques, as well as the mass and the large intersection transference principles, thereby leading to a thorough description of the properties in terms of Hausdorff measures and large intersection classes associated with general gauge functions. The sets issued from eutaxic sequences of points and optimal regular systems may naturally be described within this framework. The discussed applications include the classical homogeneous and inhomogeneous approximation, the approximation by algebraic numbers, the approximation by fractional parts, the study of uniform and Poisson random coverings, and the multifractal analysis of Levy processes.

Highlights

  • The aim of these notes is to present a comprehensive framework for the study of the size and large intersection properties of sets of limsup type.Such sets arise naturally in Diophantine approximation and multifractal analysis

  • Through the mass and the large intersection transference principles, we shall explain in Section 6 how to extend the study to Hausdorff measures and large intersection classes associated with general gauge functions

  • Before addressing all these topics, we remind the reader of elementary results on Diophantine approximation, and basic notions about Hausdorff measures and dimension; this is the purpose of Sections 2 and 3

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Summary

Introduction

The aim of these notes is to present a comprehensive framework for the study of the size and large intersection properties of sets of limsup type Such sets arise naturally in Diophantine approximation and multifractal analysis. Under natural hypotheses on the system, a general construction called ubiquity will enable us to derive the Hausdorff dimension of the latter set, and to show that the large intersection property holds, see Sections 4 and 5. Before addressing all these topics, we remind the reader of elementary results on Diophantine approximation, and basic notions about Hausdorff measures and dimension; this is the purpose of Sections 2 and 3

Very well approximable numbers
Badly approximable points
Inhomogeneous approximation
Premeasures and outer measures
Definition and main properties
Normalized gauge functions and net measures
Connection with Lebesgue measure
Hausdorff dimension
Upper bounds for limsup sets
Lower bounds: the mass distribution principle
The general Cantor construction
Homogeneous ubiquity and dimensional results
Approximation system
Upper bound on the Hausdorff dimension
Lower bound on the Hausdorff dimension
A covering lemma
The ubiquity construction
Scaling properties of the premeasure
The limiting outer measure and its scaling properties
Behavior under uniform dilations
The Jarník-Besicovitch theorem
Large intersection properties
The large intersection classes
Packing dimension
Ancillary lemmas
Link with ubiquitous systems
The Jarník-Besicovitch theorem revisited
Transference principles
Homogeneous g-ubiquitous system
Mass transference principle
Large intersection transference principle
Net measures revisited
Generalized large intersection classes
The transference principle
Describable sets
Majorizing and minorizing gauge functions
Describability
Fully describable sets
Eutaxic sequences
Sequencewise eutaxy
Uniform eutaxy
A sufficient condition for uniform eutaxy
A necessary condition for uniform eutaxy
Approximation by eutaxic sequences
Optimal regular systems
Definition and link with eutaxy
Approximation by optimal regular systems
10. Homogeneous and inhomogeneous approximation
10.1. Associated optimal regular system
10.2. General metrical implications
10.3. An inhomogeneous Jarník-Besicovitch theorem
11. Fractional parts of sequences
11.1. Sequencewise eutaxy
11.1.1. Linear sequences
11.1.2. Other sequences
11.2. Uniform eutaxy
11.2.1. Preliminary results
11.2.2. Linear sequences
11.2.3. Sequences with very fast growth
12. Approximation by algebraic numbers
12.1. Associated optimal regular system
12.2. General metrical implications
12.3. Koksma’s classification of real transcendental numbers
12.4. The case of algebraic integers
13. Independent and uniform coverings
14. Poisson coverings
14.1. Preliminary lemmas
14.2. Reduction to the bounded case
14.3. Proof in the bounded case
15. Singularity sets of Lévy processes
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