Award Abstract # 0603769
Extremal Graph Theory and Bootstrap Percolation

NSF Org: DMS
Division Of Mathematical Sciences
Recipient: UNIVERSITY OF ILLINOIS
Initial Amendment Date: December 7, 2005
Latest Amendment Date: June 15, 2006
Award Number: 0603769
Award Instrument: Standard Grant
Program Manager: Tomek Bartoszynski
tbartosz@nsf.gov
 (703)292-4885
DMS
 Division Of Mathematical Sciences
MPS
 Directorate for Mathematical and Physical Sciences
Start Date: August 15, 2005
End Date: May 31, 2007 (Estimated)
Total Intended Award Amount: $0.00
Total Awarded Amount to Date: $6,918.00
Funds Obligated to Date: FY 2003 = $6,918.00
History of Investigator:
  • Jozsef Balogh (Principal Investigator)
    jobal@illinois.edu
Recipient Sponsored Research Office: University of Illinois at Urbana-Champaign
506 S WRIGHT ST
URBANA
IL  US  61801-3620
(217)333-2187
Sponsor Congressional District: 13
Primary Place of Performance: University of Illinois at Urbana-Champaign
506 S WRIGHT ST
URBANA
IL  US  61801-3620
Primary Place of Performance
Congressional District:
13
Unique Entity Identifier (UEI): Y8CWNJRCNN91
Parent UEI: V2PHZ2CSCH63
NSF Program(s): ALGEBRA,NUMBER THEORY,AND COM
Primary Program Source: app-0103 
Program Reference Code(s): 0000, OTHR
Program Element Code(s): 126400
Award Agency Code: 4900
Fund Agency Code: 4900
Assistance Listing Number(s): 47.049

ABSTRACT

Abstract for award of Balog DMS-0302804

The proposed research areas are extremal graph theory and bootstrap percolation. They are not far from each other, as many probabilistic tools are used in the first one, and many combinatorial ideas are needed in the second one.
The need of computer science and demands from applications where discrete models play more and more important roles, increase the importance of extremal graph theory and suggests an algorithmic point of view. For about forty years now, percolation theory has been an active area of research at the interface of probability theory, combinatorics and physics. Interest in various aspects of standard percolation remains high, including estimates of critical probabilities. Lately more and more variants of the standard percolation models have been studied, in particular, the family of processes known as bootstrap percolation. Recent applications arise from different aspects, for example from spatio-temporal dynamical systems. Computer experiments performed by physicists have suggested interesting non-trivial large-scale behavior, and many deep mathematical results have been proved about a number of models.
The proposer is aiming to study the percolation process at the critical probability.


The work of the proposer is an extension of Turan's Theorem into several directions. One direction is to describe graph families which do not contain certain induced subgraphs. The other is to study Turan type of questions on hypergraphs, in particular on triple systems, and to develop general tools like regularity and stability theorems.
Bootstrap percolation, a member of the family of random cellular automata, is a process on graphs, where each site is open or closed with a certain probability, and these states are changing with time.
Studying bootstrap percolation, the main aim of the proposer is to describe the phase transition, estimate the critical probability, and the size of the window around the critical probability. The plan is to prove that the transitions are sharp, and to investigate different models, whose understanding would be helpful in the applications.

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