15:45
Forthcoming events in this series
15:45
14:15
15:45
Thoughts about the transition function jump-type Markov processes
Abstract
/samath/seminars/njacob_abstract.pdf
15:45
Central Limit Theorems and Invariance Principles for Deterministic Dynamical Systems
14:15
Diffusion in a weakly random Hamilton flow
15:45
14:15
Random fields as priors for inverse problems
14:15
Stationary distributions of multi-type particle systems
15:45
14:15
15:45
14:15
Some aspects of model uncertainty and robustness in finance
15:45
Thoughts about the transition function of jump-type Markov processes
14:15
Branching diffusion on Lobachevsky space with variable fission: the Hausdorff dimension of the limiting set
15:45
A new look at limits theorms for sequential Monte-Carlo Methods
Abstract
/notices/events/abstracts/stochastic-analysis/ht06/Moulines.shtml
14:15
Limit theorems for subsequences of random variables
Abstract
/notices/events/abstracts/stochastic-analysis/ht06/bobkov.shtml
15:45
A Feynman-Kac representation formula for fully nonlinear PDE's
14:15
New estimates for the bottom of the negative spectrum of Schrodinger operators
15:45
Dyadic Parametrization of non-rectifiable curves
Abstract
Using the dyadic parametrization of curves, and elementary theorems and
probability theory, examples are constructed of domains having bad properties on
boundary sets of large Hausdorff dimension (joint work with F.D. Lesley).
14:15
Multifractal aspects of Beta coalescence and stable random trees.
Abstract
Lambda-coalescents were introduced by Pitman in (1999) and Sagitov (1999). These processes describe the evolution of particles that
undergo stochastic coagulation in such a way that several blocks can merge at the same time to form a single block. In the case that the measure Lambda has the Beta$(2-\alpha,\alpha)$ they are also known to describe the genealogies of large populations where a single individual can produce a large number of offsprings. Here we use a recent result of Birkner et al. (2005) to prove that Beta-coalescents can be embedded in continuous stable random trees, for which much is known due to recent progress of Duquesne and Le Gall. This produces a number of results concerning the small-time behaviour of Beta-coalescents. Most notably, we recover an almost sure limit theorem for the number of blocks at small times, and give the multifractal spectrum corresponding to the emergence of blocks with atypical size. Also, we are able to find exact asymptotics for sampling formulae corresponding to the infinite site frequency spectrum associated with mutations in the context of population genetics.
15:45
Numerical integration of stochastic differential equations with nonglobally Lipschitz coefficients
Abstract
Stochastic differential equations (SDEs) with nonglobally Lipschitz coefficients
possessing unique solutions make up a very important class in applications. For
instance, Langevin-type equations and gradient systems with noise belong to this
class. At the same time, most numerical methods for SDEs are derived under the
global Lipschitz condition. If this condition is violated, the behaviour of many
standard numerical methods in the whole space can lead to incorrect conclusions.
This situation is very alarming since we are forced to refuse many effective
methods and/or to resort to some comparatively complicated numerical procedures.
We propose a new concept which allows us to apply any numerical method of weak
approximation to a very broad class of SDEs with nonglobally Lipschitz
coefficients. Following this concept, we discard the approximate trajectories
which leave a sufficiently large sphere. We prove that accuracy of any method of
weak order p is estimated by $\varepsilon+O(h^{p})$, where $\varepsilon$ can be
made arbitrarily small with increasing the radius of the sphere. The results
obtained are supported by numerical experiments. The concept of rejecting
exploding trajectories is applied to computing averages with respect to the
invariant law for Langevin-type equations. This approach to computing ergodic
limits does not require from numerical methods to be ergodic and even convergent
in the nonglobal Lipschitz case. The talk is based on joint papers with G.N.
Milstein.
14:15
Global stochastic flows without global Lipschitz conditions
Abstract
A classical result due to Kunita says that if the coefficients are global
Lipschitzian, then the s.d.e defines a global flow of homeomorphisms. In this
talk, we shall prove that under suitable growth on Lipschitz constants, the sde
define still a global flow.