Convergence of measures on compactifications of locally symmetric spaces

[thumbnail of Open Access]
Text (Open Access) - Published Version
· Restricted to Repository staff only
· Available under License Creative Commons Attribution.
Restricted to Repository staff only
Available under license: Creative Commons Attribution
[thumbnail of Math Zeit final.pdf]
Text - Accepted Version
· Restricted to Repository staff only
· The Copyright of this document has not been checked yet. This may affect its availability.
Restricted to Repository staff only

Please see our End User Agreement.

It is advisable to refer to the publisher's version if you intend to cite from this work. See Guidance on citing.

Add to AnyAdd to TwitterAdd to FacebookAdd to LinkedinAdd to PinterestAdd to Email

Daw, C. orcid id iconORCID: https://orcid.org/0000-0002-2488-6729, Gorodnik, A. and Ullmo, E. (2021) Convergence of measures on compactifications of locally symmetric spaces. Mathematische Zeitschrift, 297 (3-4). pp. 1293-1328. ISSN 0025-5874 doi: 10.1007/s00209-020-02558-w

Abstract/Summary

We conjecture that the set of homogeneous probability measures on the maximal Satake compactification of an arithmetic locally symmetric space S=Γ∖G/K is compact. More precisely, given a sequence of homogeneous probability measures on S, we expect that any weak limit is homogeneous with support contained in precisely one of the boundary components (including S itself). We introduce several tools to study this conjecture and we prove it in a number of cases, including when G=SL3(R) and Γ=SL3(Z).

Altmetric Badge

Item Type Article
URI https://reading-clone.eprints-hosting.org/id/eprint/90540
Identification Number/DOI 10.1007/s00209-020-02558-w
Refereed Yes
Divisions Science > School of Mathematical, Physical and Computational Sciences > Department of Mathematics and Statistics
Publisher Springer
Download/View statistics View download statistics for this item

University Staff: Request a correction | Centaur Editors: Update this record

Search Google Scholar