The real field with an irrational power function and a dense multiplicative subgroup
14:00
Uniqueness of Lagrangian trajectories for weak solutions of the two- and three-dimensional Navier-Stokes equations
Abstract
I will discuss recent results concerning the uniqueness of Lagrangian particle trajectories associated to weak solutions of the Navier-Stokes equations. In two dimensions, for which the weak solutions are unique, I will present a mcuh simpler argument than that of Chemin & Lerner that guarantees the uniqueness of these trajectories (this is joint work with Masoumeh Dashti, Warwick). In three dimensions, given a particular weak solution, Foias, Guillopé, & Temam showed that one can construct at leaset one trajectory mapping that respects the volume-preserving nature of the underlying flow. I will show that under the additional assumption that $u\in L^{6/5}(0,T;L^\infty)$ this trajectory mapping is in fact unique (joint work with Witek Sadowski, Warsaw).
17:00
Singular solutions for homogeneous quantum Boltzmann equations
14:30
Killed Branching Random Walks
Abstract
The problem is related to searching in trees. Suppose we are given a complete binary tree (a rooted tree in which the root has degree 2 and every other vertex has degree 3) with independent, identically distributed random edge weights (say copies of some random variable X, which need not be non-negative). The depth d(v) of a vertex v is the number of edges on the path from v to the root. We give each vertex v the label S_v which is the sum of the edge weights on the path from v to the root. For positive integers n, we let M_n be the maximum label of any vertex at depth n, and let M^* = max {M_n: n =0,1,...}. It is of course possible that M^* is infinity.
Under suitable moment assumptions on X, it is known that there is a constant A such that M_n/n --> A almost surely and in expectation. We call the cases A>0, A=0, and A< 0 supercritical, critical, and subcritical, respectively. When A <= 0 it makes sense to try to find the vertex of maximum weight M* in the whole tree. One possible strategy is to only explore the subtree T_0 containing the root consisting only of vertices of non-negative weight. With probability bounded away from zero this strategy finds the vertex of maximum weight. We derive precise information about the expected running time for this strategy. Equivalently, we derive precise information about the random variable |T_0|. In the process, we also derive rather precise information about M*. This answers a question of David Aldous.
Generating Tree Amplitudes in N=4 SYM and N=8 SG
Abstract
Representation theory and randomization: why the permutation character of a generalized wreath product is important
14:00