2012 NZMRI/NZIMA Summer Workshop:
Random Media and Random Walks
This workshop will consist mainly of 6-8 mini-courses (3 50-minute talks) presented by distinguished international speakers, on some of the many interesting topics in probability theory and statistical physics. The workshop may be of interest to graduate students in probability, statistical physics, analysis, and discrete mathematics.
There will also be an evening of seminars in honour of Prof. Peter Whittle, on the evening of January 8, 2012. The theme of the seminars will be Stochastic modelling in physics, geophysics and communications.Organisers
- Mark Holmes, Department of Statistics, the University of Auckland mholmes@stat.auckland.ac.nz
- Vaughan Jones
- Gaven Martin
List of speakers
- Martin Barlow (U. British Columbia): Random walks on random graphs
- Geoffrey Grimmett (U. Cambridge): Percolation
- Remco van der Hofstad (T.U. Eindhoven, Eurandom): Random graphs
- Frank den Hollander (U. Leiden): Random walk in random environment
- Vlada Limic (CMI, U. de Provence): Reinforced random walks
- Tom Salisbury (York U.): Branching random walk and super-Brownian motion
- Vladas Sidoravicius (CWI Amsterdam, IMPA): Spatial processes with unbounded interactions
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| Many models of random media exhibit phase transitions. Bond percolation on the 2-dimensional square lattice is a relatively simple model to explain: For each pair of neighbours in the lattice, set the bond linking them to be occupied with probability p and vacant otherwise. Is it possible for the origin (0,0) to be connected to infinity by occupied bonds? The answer is yes precisely when p is greater than 1/2 | Excited random walks are random walks that have a bias (given by a single parameter b) to the right whenever they visit a site for the first time. Does such a random walk move with positive speed to the right? Does the speed increase with the bias parameter? The answer is yes to the former (in 2 and higher dimensions), while the latter has been proved only in high dimensions. |
Reading material
Participants will be expected to have a solid general mathematics background, such as an honours degree in mathematics, including a course in probability or stochastic processes at the senior undergraduate level. Participants should also be comfortable with the following terms (all of which can be found for example in Grimmett and Stirzaker "Probability and Random Processes"): Conditional probability, independence, random variables (discrete and continuous), expectation/expected values, Markov chains.Conference Location
All lectures will be in the Tahuna beach holiday park conference centre. Very close to Nelson airport (I walked from the airport, but this is not advisable if your luggage is substantial).
Timetable and format
Talks start Sunday 8 January and end Friday 13 January, 2012. Timetable


