Forthcoming Seminars

Mon, 10/10/2005
12:00 		Chris Hull (Imperial) String Theory Seminar Add to calendar L3
String Theory and Generalised Geometry
Mon, 10/10/2005
14:15 		Professor Nigel Hitchin (Oxford) Geometry and Analysis Seminar Add to calendar L3
The Courant bracket and skew torsion
Mon, 10/10/2005
14:15 		Mr Max Skipper (Mathematical Institute, Oxford) Stochastic Analysis Seminar Add to calendar DH 3rd floor SR
A Markov History of Partial Observations
Numerous physical systems are justifiably modelled as Markov processes. However, in practical applications the (usually implicit) assumptions concerning accurate measurement of the system are often a fair departure from what is possible in reality. In general, this lack of exact information is liable to render the
Mon, 10/10/2005
15:45 		Dr Pierre Tarres (Mathematical Institute, Oxford) Stochastic Analysis Seminar Add to calendar DH 3rd floor SR
Self-interacting Random Walks
A self-interacting random walk is a random process evolving in an environment depending on its past behaviour. The notion of Edge-Reinforced Random Walk (ERRW) was introduced in 1986 by Coppersmith and Diaconis [2] on a discrete graph, with the probability of a move along an edge being proportional to the number of visits to this edge. In the same spirit, Pemantle introduced in 1988 [5] the Vertex-Reinforced Random Walk (VRRW), the probability of move to an adjacent vertex being then proportional to the number of visits to this vertex (and not to the edge leading to the vertex). The Self-Interacting Diffusion (SID) is a continuous counterpart to these notions. Although introduced by similar definitions, these processes show some significantly different behaviours, leading in their understanding to various methods. While the study of ERRW essentially requires some probabilistic tools, corresponding to some local properties, the comprehension of VRRW and SID needs a joint understanding of on one hand a dynamical system governing the general evolution, and on the other hand some probabilistic phenomena, acting as perturbations, and sometimes changing the nature of this dynamical system. The purpose of our talk is to present our recent results on the subject [1,3,4,6]. Bibliography [1] M. Bena
Mon, 10/10/2005
15:45 		Andras Szenes (BME Budapest) Topology Seminar Add to calendar L3
Equivariant intersection theory of Higgs moduli
Mon, 10/10/2005
17:00 		Martin Golubitsky (University of Houston) Applied Analysis and Mechanics Seminar Add to calendar L1
Coupled Systems: Theory and Examples
A coupled cell system is a collection of interacting dynamical systems.
Coupled cell models assume that the output from each cell is important and that signals from two or more cells can be compared so that patterns of synchrony can emerge. We ask: How much of the qualitative dynamics observed in coupled cells is the product of network architecture and how much depends on the specific equations?

The ideas will be illustrated through a series of examples and theorems. One theorem classifies spatio-temporal symmetries of periodic solutions and a second gives necessary and sufficient conditions for synchrony in terms of network architecture.
Thu, 13/10/2005
14:00 		Prof Chris Budd (University of Bath) Computational Mathematics and Applications Add to calendar Comlab
Parabolic Monge-Ampere methods for mesh generation
Thu, 13/10/2005
16:30 		Heike Gramberg (University of Oxford) Differential Equations and Applications Seminar Add to calendar DH Common Room
Free boundary instabilities in an injection moulding process
Fri, 14/10/2005
10:00 		Chris Farmer Workshops With Industry Add to calendar DH 3rd floor SR
Preview of problems for the Schlumberger Study Group
Fri, 14/10/2005
14:00 		Professor John Tyson (Virginia Polytechnic Institute & State University) Mathematical Biology and Ecology Seminar Add to calendar L3
Network Dynamics and Cell Physiology
Fri, 14/10/2005
14:15 		tba Dennis Sciama LT
To Be Announced
Fri, 14/10/2005
16:15 		Lene Hau (Harvard) Physics Colloquium Add to calendar Clarendon Lab
Frozen Light
Mon, 17/10/2005
14:15 		Dr Peter M (University of Bath) Stochastic Analysis Seminar Add to calendar DH 3rd floor SR
The Universality Classes in the Parabolic Anderson Model
/notices/events/abstracts/stochastic-analysis/mt05/m

For any corrections/updates to these listings, please contact seminars [-at-] maths [dot] ox [dot] ac [dot] uk.

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