A new rearrangement inequality around infinity and applications to Lévy processes.

Speaker: 

Alexander Drewitz

Institution: 

Columbia University

Time: 

Tuesday, April 16, 2013 - 11:00am to 12:00pm

Location: 

Rowland Hall 306

We start with showing how rearrangement inequalities may be used in probabilistic contexts such as e.g. for obtaining bounds on survival probabilities in trapping models. This naturally motivates the need for a new rearrangement inequality which can be interpreted as involving symmetric rearrangements around infinity. After outlining the proof of this inequality we proceed to give some further applications to the volume of Lévy sausages as well as to capacities for Lévy processes.
(Joint work with P. Sousi and R. Sun)

"Dimension Spectrum of SLE Boundary Collisions"

Speaker: 

Tom Alberts

Institution: 

Cal Tech

Time: 

Tuesday, March 12, 2013 - 11:00am to 12:00pm

Location: 

306 RH

In the range 4 < \kappa < 8, the intersection of the Schramm-Loewner Curve (one of the central objects in the theory of 2-D Conformally Invariant Systems) with the boundary of its domain is a random fractal set. After reviewing some previous results on the dimension and measure of this set, I will describe recent joint work with Ilia Binder and Fredrik Viklund that partitions this set of points according to the generalized "angle" at which the curve hits the boundary, and computes the Hausdorff dimension of each partition set. The Hausdorff dimension as a function of the angle is what we call the dimension spectrum.

Modeling the genealogy of populations using coalescents with multiple mergers

Speaker: 

Jason Schweinsberg

Institution: 

UCSD

Time: 

Tuesday, February 19, 2013 - 11:00am to 12:00pm

Host: 

Location: 

RH 306

Suppose we take a sample of size n from a population and follow the ancestral lines backwards in time.  Under standard assumptions, this process can be modeled by Kingman's coalescent, in which each pair of lineages merges at rate one.  However, if some individuals have large numbers of offspring or if the population is affected by selection, then many ancestral lineages may merge at one time.  In this talk, we will introduce the family of coalescent processes with multiple mergers and discuss some circumstances under which populations can be modeled by these coalescent processes.  We will also describe how genetic data, such as the number of segregating sites and the site frequency spectrum, would be affected by multiple mergers of ancestral lines, and we will discuss the implications for statistical inference.

Path properties of the random polymer in the delocalized regime

Speaker: 

Ken Alexander

Institution: 

USC

Time: 

Tuesday, February 5, 2013 - 11:00am to 12:00pm

Location: 

RH 306

 We study the path properties of the random polymer attracted to a defect line by a potential with disorder, and we prove that in the delocalized regime, at any temperature, the number of contacts with the defect line remains in a certain sense ``tight in probability'' as the polymer length varies. On the other hand we show that at sufficiently low temperature, there exists a.s. a subsequence where the number of contacts grows like the log of the length of the polymer.

Path properties of the random polymer in the delocalized regime

Speaker: 

Ken Alexander

Institution: 

USC

Time: 

Tuesday, February 5, 2013 - 11:00am to 12:00pm

Location: 

RH 306

 We study the path properties of the random polymer attracted to a defect line by a potential with disorder, and we prove that in the delocalized regime, at any temperature, the number of contacts with the defect line remains in a certain sense ``tight in probability'' as the polymer length varies. On the other hand we show that at sufficiently low temperature, there exists a.s. a subsequence where the number of contacts grows like the log of the length of the polymer.

The Williams Bjerknes Model on Regular Trees.

Speaker: 

Louidor

Institution: 

UCLA

Time: 

Tuesday, February 26, 2013 - 11:00am to 11:45am

Location: 

306 RH

We consider the Williams Bjerknes model, also known as the biased voter model on the d-regular tree T^d, where d \geq 3. Starting from an initial configuration of ``healthy'' and ``infected'' vertices, infected vertices infect their neighbors at Poisson rate \lambda \geq 1, while healthy vertices heal their neighbors at Poisson rate 1. All vertices act independently. It is well known that starting from a configuration with a positive but finite number of infected vertices, infected vertices will continue to exist at all time with positive probability iff \lambda > 1. We show that there exists a threshold \lambda_c \in (1, \infty) such that if \lambda > \lambda_c then in the above setting with positive probability all vertices will become eventually infected forever, while if \lambda < \lambda_c, all vertices will become eventually healthy with probability 1. In particular, this yields a complete convergence theorem for the model and its dual, a certain branching coalescing random walk on T^d -- above \lambda_c. We also treat the case of initial configurations chosen according to a distribution which is invariant or ergodic with respect to the group of automorphisms of T^d. Joint work with A. Vandenberg-Rodes, R. Tessler.

Law of the extremes for the two-dimensional discrete Gaussian Free Field

Speaker: 

Marek Biskup

Institution: 

UCLA

Time: 

Tuesday, January 22, 2013 - 11:00am to 12:00pm

Location: 

RH 306

A two-dimensional discrete Gaussian Free Field (DGFF) is a centered Gaussian process over a finite subset (say, a square) of the square lattice with covariance given by the Green function of the simple random walk killed upon exit from this set. Recently, much effort has gone to the study of the concentration properties and tail estimates for the maximum of DGFF. In my talk I will address the limiting extreme-order statistics of DGFF as the square-size tends to infinity. In particular, I will show that for any sequence of squares along which the centered maximum converges in law, the (centered) extreme process converges in law to a randomly-shifted Gumbel Poisson point process which is decorated, independently around each point, by a random collection of auxiliary points. If there is any time left, I will review what we know and/or believe about the law of the random shift. This talk is based on joint work with Oren Louidor (UCLA).

Spin Glasses: What's the Big Idea? Is There One?

Speaker: 

Daniel Stein

Institution: 

NYU

Time: 

Wednesday, January 16, 2013 - 4:00pm to 5:00pm

Location: 

NS2 1201

The aim of this talk is to introduce the subject of spin glasses,
and more generally the statistical mechanics of quenched disorder,
as a problem of general interest to physicists from multiple disciplines and
backgrounds. Despite years of study, the physics of quenched
disorder remains poorly understood, and represents a major gap in our
understanding of the condensed state of matter. While there are many
active areas of investigation in this field, I will narrow the focus of this
talk to our current level of understanding of the low-temperature
equilibrium structure of
realistic (i.e., finite-dimensional) spin glasses.

I will begin with a brief survey of why the subject is of interest not only
to physicists,
but also mathematicians, computer scientists, and scientists working in
other areas. A brief review of the basic features of spin glasses and what
is
known experimentally will follow. I will then turn to the problem of
understanding the nature of the spin glass phase --- if it exists.
The central question to be addressed is the nature of broken symmetry in
these systems. Parisi's replica symmetry breaking approach,
now mostly verified for mean field spin glasses, attracted great excitement
and interest as a novel and exotic form of symmetry breaking. But does it
hold also for real spin glasses in finite dimensions? This has been a
subject of intense controversy, and although the issues surrounding it have
become more sharply defined
in recent years, it remains an open question. I will explore this problem,
introducing new mathematical constructs such as the metastate along the way.
The talk will conclude with an examination of how and in which respects the
statistical mechanics of disordered systems might differ from that of
homogeneous systems.

Random potentials for pinning models with gradient and Laplacian interactions.

Speaker: 

Chien-Hao Huang

Institution: 

UCI

Time: 

Tuesday, November 27, 2012 - 11:00am

Location: 

RH 306

Abstract: We consider two models for bio-polymers, the gradient interaction and the Lacplacian one,
both with the Gaussian potential in the random environment. A random field φ : { 0, 1, ..., N } → R^d represents the position of the polymer path. The law of the field is given by exp( − ∑ i |∇ φi |^2 /2) where ∇ is the discrete gradient, and by exp( − ∑ i | ∆φi |^2 /2) where ∆ is the discrete Laplacian. For every Gaussian potential |·|^2 /2, a random charge is added as a factor: (1+βωi) |·|^2 /2 with P (ωi = ± 1) = 1/2 or exp(βωi) |·|^2 /2 with ωi obeys a normal distribution. The interaction with the
origin in the random field space is considered. Each time the field touches the origin, a reward ϵ ≥ 0 is given. Although these models are quite different from the pinning models studied in G. Giacomin (2011), the result about the gap between the annealed critical point and the quenched critical point stays the same.

On the Rate of Convergence for Critical Crossing Probabilities

Speaker: 

Helen Lei

Institution: 

Cal Tech.

Time: 

Tuesday, October 30, 2012 - 11:00am

Location: 

Rowland Hall 306

Abstract: For the site percolation model on the triangular lattice and
certain generalizations for which Cardy’s Formula has been established
we acquire a power law estimate for the rate of convergence of the
crossing probabilities to Cardy’s Formula.

Pages

Subscribe to RSS - Combinatorics and Probability