St Andrews Research Repository

St Andrews University Home
View Item 
  •   St Andrews Research Repository
  • University of St Andrews Research
  • University of St Andrews Research
  • University of St Andrews Research
  • View Item
  •   St Andrews Research Repository
  • University of St Andrews Research
  • University of St Andrews Research
  • University of St Andrews Research
  • View Item
  •   St Andrews Research Repository
  • University of St Andrews Research
  • University of St Andrews Research
  • University of St Andrews Research
  • View Item
  • Login
JavaScript is disabled for your browser. Some features of this site may not work without it.

Recurrence statistics for the space of interval exchange maps and the Teichmüller flow on the space of translation surfaces

Thumbnail
View/Open
Aimino_2017_Recurrence_statistics_AIHPB_1371.pdf (384.5Kb)
Date
08/2017
Author
Aimino, Romain
Nicol, Matthew
Todd, Michael John
Keywords
QA Mathematics
T-NDAS
Metadata
Show full item record
Altmetrics Handle Statistics
Altmetrics DOI Statistics
Abstract
In this paper we show that the transfer operator of a Rauzy–Veech–Zorich renormalization map acting on a space of quasi-Hölder functions is quasicompact and derive certain statistical recurrence properties for this map and its associated Teichmüller flow. We establish Borel–Cantelli lemmas, Extreme Value statistics and return time statistics for the map and flow. Previous results have established quasicompactness in Hölder or analytic function spaces, for example the work of M. Pollicott and T. Morita. The quasi-Hölder function space is particularly useful for investigating return time statistics. In particular we establish the shrinking target property for nested balls in the setting of Teichmüller flow. Our point of view, approach and terminology derive from the work of M. Pollicott augmented by that of M. Viana.
Citation
Aimino , R , Nicol , M & Todd , M J 2017 , ' Recurrence statistics for the space of interval exchange maps and the Teichmüller flow on the space of translation surfaces ' , Annales de l'Institut Henri Poincaré (B) Probabilités et Statistiques , vol. 53 , no. 3 , pp. 1371-1401 . https://doi.org/10.1214/16-AIHP758
Publication
Annales de l'Institut Henri Poincaré (B) Probabilités et Statistiques
Status
Peer reviewed
DOI
https://doi.org/10.1214/16-AIHP758
ISSN
0246-0203
Type
Journal article
Rights
© 2017, Association des Publications de l’Institut Henri Poincaré. This work has been made available online in accordance with the publisher’s policies. This is the final published version of the work, which was originally published at projecteuclid.org / https://doi.org/10.1214/16-AIHP758
Description
MT was partially supported by NSF grant DMS 110958.
Collections
  • University of St Andrews Research
URI
http://hdl.handle.net/10023/11400

Items in the St Andrews Research Repository are protected by copyright, with all rights reserved, unless otherwise indicated.

Advanced Search

Browse

All of RepositoryCommunities & CollectionsBy Issue DateNamesTitlesSubjectsClassificationTypeFunderThis CollectionBy Issue DateNamesTitlesSubjectsClassificationTypeFunder

My Account

Login

Open Access

To find out how you can benefit from open access to research, see our library web pages and Open Access blog. For open access help contact: openaccess@st-andrews.ac.uk.

Accessibility

Read our Accessibility statement.

How to submit research papers

The full text of research papers can be submitted to the repository via Pure, the University's research information system. For help see our guide: How to deposit in Pure.

Electronic thesis deposit

Help with deposit.

Repository help

For repository help contact: Digital-Repository@st-andrews.ac.uk.

Give Feedback

Cookie policy

This site may use cookies. Please see Terms and Conditions.

Usage statistics

COUNTER-compliant statistics on downloads from the repository are available from the IRUS-UK Service. Contact us for information.

© University of St Andrews Library

University of St Andrews is a charity registered in Scotland, No SC013532.

  • Facebook
  • Twitter