Indexing metadata

Recurrence of bipartite planar maps


 
Dublin Core PKP Metadata Items Metadata for this Document
 
1. Title Title of document Recurrence of bipartite planar maps
 
2. Creator Author's name, affiliation, country Jakob Erik Björnberg; Uppsala University
 
2. Creator Author's name, affiliation, country Sigurdur Örn Stefánsson; Uppsala University
 
3. Subject Discipline(s)
 
3. Subject Keyword(s) Planar maps; local limits; simply generated trees; random walk
 
3. Subject Subject classification 05C80; 05C81; 05C05; 60J80; 60F05
 
4. Description Abstract This paper concerns random bipartite planar maps which are defined by assigning weights to their faces. The paper presents a threefold contribution to the theory. Firstly, we prove the existence of the local limit for all choices of weights and describe it in terms of an infinite mobile. Secondly, we show that the local limit is in all cases almost surely recurrent.  And thirdly, we show that for certain choices of weights the local limit has exactly one face of infinite degree and has in that case spectral dimension 4/3 (the latter requires a mild moment condition).
 
5. Publisher Organizing agency, location
 
6. Contributor Sponsor(s) Knut and Alice Wallenberg Foundation
 
7. Date (YYYY-MM-DD) 2014-03-12
 
8. Type Status & genre Peer-reviewed Article
 
8. Type Type
 
9. Format File format PDF
 
10. Identifier Uniform Resource Identifier http://ejp.ejpecp.org/article/view/3102
 
10. Identifier Digital Object Identifier 10.1214/EJP.v19-3102
 
11. Source Journal/conference title; vol., no. (year) Electronic Journal of Probability; Vol 19
 
12. Language English=en en
 
14. Coverage Geo-spatial location, chronological period, research sample (gender, age, etc.)
 
15. Rights Copyright and permissions The Electronic Journal of Probability applies the Creative Commons Attribution License (CCAL) to all articles we publish in this journal. Under the CCAL, authors retain ownership of the copyright for their article, but authors allow anyone to download, reuse, reprint, modify, distribute, and/or copy articles published in EJP, so long as the original authors and source are credited. This broad license was developed to facilitate open access to, and free use of, original works of all types. Applying this standard license to your work will ensure your right to make your work freely and openly available.

Summary of the Creative Commons Attribution License

You are free
  • to copy, distribute, display, and perform the work
  • to make derivative works
  • to make commercial use of the work
under the following condition of Attribution: others must attribute the work if displayed on the web or stored in any electronic archive by making a link back to the website of EJP via its Digital Object Identifier (DOI), or if published in other media by acknowledging prior publication in this Journal with a precise citation including the DOI. For any further reuse or distribution, the same terms apply. Any of these conditions can be waived by permission of the Corresponding Author.