The space of homogeneous probability measures on $\overline{\Gamma\backslash X}^S_{\rm max}$ is compact
Christopher Daw, Alexander Gorodnik, Emmanuel Ullmo, Jialun Li

TL;DR
This paper proves the compactness of the space of homogeneous probability measures on the maximal Satake compactification of arithmetic locally symmetric spaces and explores implications for the distribution of weakly special subvarieties in Shimura varieties.
Contribution
It establishes the compactness of the measure space and connects this to the distribution of special subvarieties in Shimura varieties.
Findings
The space of homogeneous probability measures is compact.
Implications for the distribution of weakly special subvarieties.
Provides a new understanding of measure behavior on compactified spaces.
Abstract
In this paper we prove that the space of homogeneous probability measures on the maximal Satake compactification of an arithmetic locally symmetric space is compact. As an application, we explain some consequences for the distribution of weakly special subvarieties of Shimura varieties.
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.
