OxPDE Lunchtime Seminar
|
Thu, 16/02 12:30 |
Reto Müller (Imperial College, London) |
OxPDE Lunchtime Seminar |
Gibson 1st Floor SR |
| In this talk, we first study the Mean Curvature Flow, an evolution equation for submanifolds of some Euclidean space. We review a famous monotonicity formula of Huisken and its application to classifying so-called Type I singularities. Then, we discuss the Ricci Flow, which might be seen as the intrinsic analog of the Mean Curvature Flow for abstract Riemannian manifolds. We explain how Huisken's classification of Type I singularities can be adopted to this intrinsic setting, using monotone quantities found by Perelman. | |||
|
Thu, 01/03 12:30 |
François Murat (Université Paris VI) |
OxPDE Lunchtime Seminar |
Gibson 1st Floor SR |
In this lecture I will report on joint work with
J. Casado-Díaz, T. Chacáon Rebollo, V. Girault and M.~Gómez Marmol
which was published in Numerische Mathematik,
vol. 105, (2007), pp. 337-510.
We consider, in dimension , the standard
finite elements approximation of the
second order linear elliptic equation in divergence form with
coefficients in
which generalizes Laplace's
equation. We assume that the family of
triangulations is regular and that it satisfies
an hypothesis close to the classical
hypothesis which
implies the discrete maximum principle.
When the right-hand side belongs to , we prove
that the unique solution of the discrete
problem converges in
(for every with
< ) to the unique renormalized
solution of the problem. We obtain a weaker result when the
right-hand side is a bounded Radon
measure. In the case where the dimension is
or and where the coefficients are smooth, we give an
error estimate in
when the right-hand side belongs to
for some > . |
|||

, the standard
finite elements approximation of the
second order linear elliptic equation in divergence form with
coefficients in
which generalizes Laplace's
equation. We assume that the family of
triangulations is regular and that it satisfies
an hypothesis close to the classical
hypothesis which
implies the discrete maximum principle.
When the right-hand side belongs to
, we prove
that the unique solution of the discrete
problem converges in
(for every
with
<
) to the unique renormalized
solution of the problem. We obtain a weaker result when the
right-hand side is a bounded Radon
measure. In the case where the dimension is
or
and where the coefficients are smooth, we give an
error estimate in
for some
>
.