Effective Dynamics of Stochastic Partial Differential Equations

Speaker: 

Professor Jinqiao Duan

Institution: 

IPAM

Time: 

Tuesday, February 14, 2012 - 11:00am

Location: 

RH 306

The need to take stochastic effects into account for modeling complex systems has now become
widely recognized. Stochastic partial differential equations arise naturally as mathematical
models for multiscale systems under random influences. We consider macroscopic dynamics of
microscopic systems described by stochastic partial differential equations. The microscopic
systems are characterized by small scale heterogeneities (spatial domain with small holes or
oscillating coefficients), or fast scale boundary impact (random dynamic boundary condition),
among others.

Effective macroscopic model for such stochastic microscopic systems are derived. The effective
model s are still stochastic partial differential equations, but defined on a unified spatial domain
and the random impact is represented by extra components in the effective models. The
solutions of the microscopic models are shown to converge to those of the effective macroscopic
models in probability distribution, as the size of holes or the scale separation parameter
diminishes to zero. Moreover, the long time effectivity of the macroscopic system in the sense of
convergence in probability distribution, and in the sense of convergence in energy are also
proved.

Competing first passage percolation on random regular graphs

Speaker: 

Tonci Antunovic

Institution: 

UC Berkeley

Time: 

Tuesday, November 8, 2011 - 11:00am

Location: 

RH 306

In this talk we will consider two competing first passage percolation processes started from uniformly chosen subsets of a random regular graph on N vertices. The processes are allowed to spread with different rates, start from vertex subsets of different sizes or at different times. We obtain tight results regarding the sizes of the vertex sets occupied by each process, showing that in the generic situation one process will occupy roughly N^alpha vertices, for some 0 < alpha < 1. The value of alpha is calculated in terms of the relative rates of the processes, as well as the sizes of the initial vertex sets and the possible time advantage of one process. These results are in sharp contrast with the picture in the lattice case.
This is a joint work with Yael Dekel, Elchanan Mossel and Yuval Peres.

Fixation for distributed clustering processes.

Speaker: 

Professor Oren Louidor

Institution: 

UCLA

Time: 

Tuesday, October 11, 2011 - 11:00am

Location: 

RH 306

We study a discrete-time resource flow in Z^d, where wealthier vertices attract the resources of their less rich neighbors. For any translation-invariant probability distribution of initial resource quantities, we prove that the flow at each vertex terminates after finitely many steps. This answers (a generalized version of) a question posed by Van den Berg and Meester in 1991. The proof uses the mass-transport principle and extends to other graphs.

Particle flow and negative dependence in the Symmetric Exclusion Process.

Speaker: 

Professor Alexander Vandenberg-Rodes

Institution: 

UCI

Time: 

Tuesday, October 4, 2011 - 11:00am

Location: 

RH 306

Abstract: I'll talk about the recently discovered strong negative dependence properties of the symmetric exclusion process, a model of non-intersecting random walkers. The negative dependence theory gives a simple way to show central limit theorems for the bulk motion of particles. Our results are general enough to deal with non-equilibrium systems of particles with inhomogeneous hopping rates.

"Ballisticity conditions for random walk in random environment"

Speaker: 

Professor Alejandro Ramirez

Institution: 

Pontificia Universidad Catolica de Chile,

Time: 

Thursday, May 12, 2011 - 2:00pm

Location: 

RH 306

BALLISTICITY CONDITIONS FOR RANDOM WALK IN
RANDOM ENVIRONMENT
ALEJANDRO F. RAMIREZ
resumen. Consider a Random Walk in a Random Environment (RWRE)
{Xn :
n
&amp;#8805; 0} on a uniformly elliptic i.i.d. environment in dimensions d &amp;#8805; 2. Some
fundamental questions about this model, related to the concept of ballisticity
and which remain unsolved, will be discussed in this talk. The walk is said to
be transient in a direction l
&amp;#8712; S
d
, if limn
&amp;#8594;&amp;#8734; Xn l = &amp;#8734;, and ballistic in the
direction l if lim inf n
&amp;#8594;&amp;#8734; Xn l/n > 0. It is conjectured that transience in a
given direction implies ballisticity in the same direction. To tackle this question,
in 2002, Sznitman introduced for each &amp;#947;
&amp;#8712; (0, 1) and direction l the ballisticity
condition (T&amp;#947; )
|l, and condition (T &amp;#8242; )|l de&amp;#64257;ned as the ful&amp;#64257;llment of (T&amp;#947; )|l for each
&amp;#947;
&amp;#8712; (0, 1). He proved that (T &amp;#8242; ) implies ballisticity in the corresponding direction,
and showed that for each &amp;#947;
&amp;#8712; (0, 5, 1), (T&amp;#947; ) implies (T &amp;#8242; ). It is believed that for
each &amp;#947;
&amp;#8712; (0, 1), (T&amp;#947; ) implies (T &amp;#8242; ). We prove that for &amp;#947; &amp;#8712; (&amp;#947;d , 1), (T )&amp;#947; is equivalent
to (T &amp;#8242; ), where for d
&amp;#8805; 4, &amp;#947;d = 0 while for d = 2, 3 we have &amp;#947;d &amp;#8712; (0.366, 0.388).
The case d
&amp;#8805; 4 uses heavily a recent multiscale renormalization method developed
by Noam Berger. This talk is based on joint works with Alexander Drewitz from
ETH Z
urich.
l

Fluctuations of ground state energy in Anderson model with Bernoulli potential

Speaker: 

Professor Jan Wehr

Institution: 

University of Arizona

Time: 

Tuesday, April 12, 2011 - 11:00am

Location: 

RH 306

Energy of the finite-volume ground state of a random Schroedinger operator is studied in the limit as the volume increases. We relate its fluctuations to a classical probability problem---extreme statistics of IID random variables---and describe the detailed behavior of its distribution. Surprisingly, the distributions do not converge---presence of two scales in the system leads to a chaotic volume dependence. A possible application to a sharp estimate of the Lifshits tail will be mentioned. The work presented is done jointly with Michael Bishop.

Beyond the Gaussian Universality Class

Speaker: 

Professor Ivan Corwin

Institution: 

NYU

Time: 

Thursday, December 2, 2010 - 11:00am

Location: 

340P

The Gaussian central limit theorem says that for a wide class of stochastic systems, the bell curve (Gaussian distribution) describes the statistics for random fluctuations of important observables. In this talk I will look beyond this class of systems to a collection of probabilistic models which include random growth models, polymers, particle systems, matrices and stochastic PDEs, as well as certain asymptotic problems in combinatorics and representation theory. I will explain in what ways these different examples all fall into a single new universality class with a much richer mathematical structure than that of the Gaussian.

Pages

Subscribe to RSS - Combinatorics and Probability