Indexing metadata

The shape of large balls in highly supercritical percolation


 
Dublin Core PKP Metadata Items Metadata for this Document
 
1. Title Title of document The shape of large balls in highly supercritical percolation
 
2. Creator Author's name, affiliation, country Anne-Laure Basdevant; Université Paris Ouest Nanterre; France
 
2. Creator Author's name, affiliation, country Nathanaël Enriquez; Université Paris Ouest Nanterre; France
 
2. Creator Author's name, affiliation, country Lucas Gerin; École Polytechnique; France
 
2. Creator Author's name, affiliation, country Jean-Baptiste Gouéré; Université d'Orléans; France
 
3. Subject Discipline(s)
 
3. Subject Keyword(s) first-passage percolation; supercritical percolation; TASEP
 
3. Subject Subject classification 60K35; 82B43
 
4. Description Abstract We exploit a connection between distances in the infinite percolation cluster, when the parameter is close to one, and the discrete-time TASEP on Z. This shows that when the parameter goes to one, large balls in the cluster are asymptotically shaped near the axes like arcs of parabola.
 
5. Publisher Organizing agency, location
 
6. Contributor Sponsor(s) ANR Grant Mememo 2 ; ANR Grant PRESAGE
 
7. Date (YYYY-MM-DD) 2014-02-28
 
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/3062
 
10. Identifier Digital Object Identifier 10.1214/EJP.v19-3062
 
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.