LSV Seminar

The LSV seminar takes place on Tuesday at 11:00 AM. The usual location is the conference room at Pavillon des Jardins (venue). If you wish to be informed by e-mail about upcoming seminars, please contact Stéphane Le Roux and Matthias Fuegger.

The seminar is open to public and does not require any form of registration.

Past Seminars

Moving an obstacle in the sandpile model on a bi-infinite strip

 Yvan Le Borgne
Tuesday, October 30 2018 at 11:00AM
Pavillon des Jardins
Yvan Le Borgne (Labri)

The sandpile model is a discrete model of diffusion introduced by physicists Bak, Tang and Wiesenfeld. Its states are distributions of grains on the vertices of a graph and its diffusion's dynamic is similar to a transition in a Petri net. The recurrent states, in many bijections with spanning trees of the graph, form the main subset of steady states is this model. They are characterized as fixpoints of an algorithmic operator defined by Dhar. Usually, the graph that describes the geometry of space is static and in general finite. In this talk, the graphs are infinite, since they are horizontal strips of finite height seen as subgraphs of the usual square lattice. On these strips, the probabilists Jarai and Lyons showed that the steady and uniform measure on recurrent states may be described as a Parry measure deduced from an automaton reading a state column by column. We introduce a dynamic perturbation of these strips by an obstacle defined as a dynamic subset of vertices where grains are temporarly forbidden. A step of simulation is defined as the move of the obstacle, also moving finitely many grains, followed by the computation of the new fixpoint for Dhar's operator in the new graph. The main result of this talk is that this step of simulation may be almost surely simulated in a finite time despite requiring in principle an infinite number of transitions. The original motivation of this work was to define a toy-model for a flow of a fluid around an obstacle where one can obtain exact boundary conditions at the limit of the studied domain, using lazy evaluation.

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