Title:
On the infection time of the Duarte model: the role of energy barriers

dc.contributor.author Martinelli, Fabio
dc.contributor.corporatename Georgia Institute of Technology. Algorithms, Randomness and Complexity Center en_US
dc.contributor.corporatename University of Roma Tre. Dept. of Mathematics and Physics en_US
dc.date.accessioned 2018-05-25T15:44:30Z
dc.date.available 2018-05-25T15:44:30Z
dc.date.issued 2018-05-15
dc.description Presented as part of the Workshop on Algorithms and Randomness on May 15, 2018 at 10:15 a.m. in the Klaus Advanced Computing Building, Room 1116. en_US
dc.description Fabio Martinelli is a professor in the Department of Mathematics and Physics at the University of Roma Tre. His research interests are probability theory, statistical physics, mathematical physics, and randomized algorithms. en_US
dc.description Runtime: 43:26 minutes en_US
dc.description.abstract In the Duarte model each vertex of Z<sup>2</sup> can be either infected or healthy. In the bootstrap percolation model version, infected vertices stay infected while a healthy vertex becomes infected if at least two of its North, South, and West neighbors are infected. In the model version with kinetic constraints (KCM), each vertex with rate one changes its state by tossing a biased coin iff the same constraint is satisfied. For both versions of the model, an important problem is to determine the divergence as q --> 0 of the infection time of the origin when the initial infection set is q-random. For the bootstrap percolation version, the problem was solved in 2016 by B. Bollobas, H. Duminil-Copin, R. Morris, and P. Smith. For the KCM version, our recent work proves that hidden logarithmically growing energy barriers produce a much sharper divergence. The result also confirms for the Duarte model a universality conjecture for general critical KCM on \Z<sup>2</sup> put forward by R. Morris, C. Toninelli and myself. Joint work with R. Morris and C. Toninelli (upper bound) and L. Mareche' and C. Toninelli (lower bound). en_US
dc.format.extent 43:26 minutes
dc.identifier.uri http://hdl.handle.net/1853/59727
dc.language.iso en_US en_US
dc.relation.ispartofseries Workshop on Algorithms and Randomness 2018
dc.subject Algorithms en_US
dc.subject Duarte mode en_US
dc.subject Kinetic constraints (KCM) en_US
dc.title On the infection time of the Duarte model: the role of energy barriers en_US
dc.type Moving Image
dc.type.genre Lecture
dspace.entity.type Publication
local.contributor.corporatename Algorithms and Randomness Center
local.contributor.corporatename College of Computing
local.relation.ispartofseries ARC Colloquium
relation.isOrgUnitOfPublication b53238c2-abff-4a83-89ff-3e7b4e7cba3d
relation.isOrgUnitOfPublication c8892b3c-8db6-4b7b-a33a-1b67f7db2021
relation.isSeriesOfPublication c933e0bc-0cb1-4791-abb4-ed23c5b3be7e
Files
Original bundle
Now showing 1 - 3 of 3
No Thumbnail Available
Name:
martinelli.mp4
Size:
343.57 MB
Format:
MP4 Video file
Description:
Download video
No Thumbnail Available
Name:
martinelli_videostream.html
Size:
1.01 KB
Format:
Hypertext Markup Language
Description:
Streaming video
No Thumbnail Available
Name:
transcription.txt
Size:
31.08 KB
Format:
Plain Text
Description:
License bundle
Now showing 1 - 1 of 1
No Thumbnail Available
Name:
license.txt
Size:
3.13 KB
Format:
Item-specific license agreed upon to submission
Description:
Collections