An heterogeneous ubiquity theorem, application to self-similar measures with overlaps
Edouard Daviaud

TL;DR
This paper develops a general mass transference principle for measures, including self-similar measures with overlaps, extending the understanding of measure distribution from balls to arbitrary open sets.
Contribution
It introduces a broad mass transference principle applicable to self-similar measures without separation conditions, broadening previous results.
Findings
Established a mass transference principle for self-similar measures with overlaps.
Extended the principle to arbitrary open sets under general conditions.
Provided new tools for analyzing measure distribution in fractal geometry.
Abstract
In this article, one investigates in a very general frame mass transference principles from ball to arbitrary open sets when the sequence of balls is distributed according to a finite measure. As an application of the main theorem, a mass transference principle is established when the measure is self-similar with no separation conditions.
Peer Reviews
No public reviews on file for this paper yet. If you reviewed it on a platform where reviews are public (OpenReview, ICLR, NeurIPS, ICML), you can paste yours below so the community can read it here.
Videos
No videos yet. Explain this paper in a talk, walkthrough, or lecture? Add one.
Taxonomy
TopicsMathematical Dynamics and Fractals · advanced mathematical theories · Stochastic processes and statistical mechanics
