Past

This talk is concerned with the probabilistic behaviour of a condition

number C(A) for the problem of deciding whether a system of n

homogeneous linear inequalities in m unknowns has a non-zero solution.

In the case where the input system is feasible, the exact probability

distribution of the condition number for random inputs is determined,

and a sharp bound for the general case. In particular, for the

expected value of the logarithm log C(A), an upper bound of order

O(log m) (m the number of variables) is presented which does not

depend on the number of inequalities.

The probability distribution of the condition number C(A) is closely

related to the probability of covering the m-sphere with n spherical

caps of a given radius. As a corollary, we obtain bounds on the

probability of covering the sphere with random caps.

Modelling the behaviour of light in photonic crystal fibres requires

solving 2nd-order elliptic eigenvalue problems with discontinuous

coefficients. The eigenfunctions of these problems have limited

regularity. Therefore, the planewave expansion method would appear to

be an unusual choice of method for such problems. In this talk I

examine the convergence properties of the planewave expansion method as

well as demonstrate that smoothing the coefficients in the problem (to

get more regularity) introduces another error and this cancels any

benefit that smoothing may have.

To any Coxeter group (W,S) together with an appropriate representation on V one may associate various categories of "singular Soergel bimodules", which are certain bimodules over invariant subrings of

regular functions on V. I will discuss their definition, basic properties and explain how they categorify the associated Hecke algebras and their parabolic modules. I will also outline a motivation coming from geometry and (if time permits) an application in knot theory.

Let $(M,\omega)$ be a symplectic manifold, and $g$ a Riemannian metric on $M$ compatible with $\omega$. If $L$ is a compact Lagrangian submanifold of $(M,\omega)$, we can compute the volume Vol$(L)$ of $L$ using $g$. A Lagrangian $L$ is called {\it Hamiltonian stationary} if it is a stationary point of the volume functional amongst Lagrangians Hamiltonian isotopic to $L$.

Suppose $L'$ is a compact Lagrangian in ${\mathbb C}^n$ which is Hamiltonian stationary and {\it rigid}, that is, all infinitesimal Hamiltonian deformations of $L$ as a Hamiltonian stationary Lagrangian come from rigid motions of ${\mathbb C}^n$. An example of such $L'$ is the $n$-torus $ \bigl\{(z_1,\ldots,z_n)\in{\mathbb C}^n:\vert z_1\vert=a_1, \ldots,\vert z_n\vert=a_n\bigr\}$, for small $a_1,\ldots,a_n>0$.

I will explain a construction of Hamiltonian stationary Lagrangians in any compact symplectic manifold $(M,\omega)$, which works by `gluing in' $tL'$ near a point $p$ in $M$ for small $t>0$.

Random partial orders and random linear extensions

Several interesting models of random partial orders can be described via a

process that builds the partial order one step at a time, at each point

adding a new maximal element. This process therefore generates a linear

extension of the partial order in tandem with the partial order itself. A

natural condition to demand of such processes is that, if we condition on

the occurrence of some finite partial order after a given number of steps,

then each linear extension of that partial order is equally likely. This

condition is called "order-invariance".

The class of order-invariant processes includes processes generating a

random infinite partial order, as well as those that amount to taking a

random linear extension of a fixed infinite poset.

Our goal is to study order-invariant processes in general. In this talk, I

shall explain some of the problems that need to be resolved, and discuss

some of the combinatorial problems that arise.

(joint work with Malwina Luczak)

The relaxation of a free-energy functional which describes the

order-strain interaction in nematic liquid crystal elastomers is obtained

explicitly. We work in the regime of small strains (linearized

kinematics). Adopting the uniaxial order tensor theory or Frank

model to describe the liquid crystal order, we prove that the

minima of the relaxed functional exhibit an effective biaxial

microstructure, as in de Gennes tensor model. In particular, this

implies that the response of the material is soft even if the

order of the system is assumed to be fixed. The relaxed energy

density satisfies a solenoidal quasiconvexification formula.

Given K a separably closed field of finite ( > 1) degree of imperfection, and semiabelian variety A over K, we study the maximal divisible subgroup A^{sharp} of A(K). We show that the {\sharp} functor does not preserve exact sequences and also give an example where A^{\sharp} does not have relative Morley rank. (Joint work with F. Benoist and E. Bouscaren)

We present a theory for  stochastic control problems which, in various ways, are time inconsistent in the sense that they do not admit a Bellman optimality principle. We attach these problems by viewing them within a game theoretic framework, and we look for subgame perfect Nash equilibrium points.
For a general controlled Markov process and a fairly general objective functional we derive an extension of the standard Hamilton-Jacobi-Bellman  equation, in  the form of a system of non-linear equations, for the determination for the equilibrium strategy as well as the equilibrium value function. All  known examples of time inconsistency in the literature are easily seen to be special cases of the present theory. We also prove that for every time inconsistent problem, there exists an associated time consistent problem such that the optimal control and the optimal value function for the consistent problem coincides with the equilibrium control and value function respectively for the time inconsistent problem. We also study some concrete examples.

Abstract available at: http://people.maths.ox.ac.uk/~kirby/LInnocente.pdf