Traps and Patches: An Asymptotic Analysis of Localized Solutions to Some Diffusion Problems in Cell Biology and in Spatial Ecology

Speaker: 

Michael Ward

Institution: 

University of British Columbia

Time: 

Thursday, May 20, 2010 - 3:00pm

Location: 

RH 440R

Three different singularly perturbed eigenvalue problems in perforated
domains, or in domains with perforated boundaries, with direct
biological applications, are studied asymptotically. In the context
of cellular signal transduction, a common scenario is that a diffusing
surface-bound molecule must arrive at a localized signalling region,
or trap, on the cell membrane before a signalling cascade can be
initiated. In order to determine the time-scale for this process,
asymptotic results are given for the mean first passage time (MFPT) of
a diffusing particle confined to the surface of a sphere that has
absorbing traps of small radii. In addition, asymptotic results are
given for the related narrow escape problem of calculating the MFPT
for a diffusing particle inside a sphere that has small traps on an
otherwise reflecting boundary. The MFPT for this narrow escape problem
is shown to be minimized for particular trap configurations that
minimize a certain discrete variational problem (DVP). This DVP is
closely related to the classic Fekete point problem of determining the
minimum energy configuration for repelling Coulomb charges on the unit
sphere. Finally, in the context of spatial ecology, a long-standing
problem is to determine the persistence threshold for extinction of a
species in a heterogeneous spatial landscape consisting of either
favorable or unfavorable local habitats. For a 2-D spatial landscape
consisting of such localized patches, the persistence threshold is
calculated asymptotically and the effects of both habitat
fragmentation and habitat location on the persistence threshold is
examined. From a mathematical viewpoint, the persistence threshold
represents the principal eigenvalue of an indefinite weight singularly
perturbed eigenvalue problem, resulting from a linearization of the
diffusive logistic model.

The analysis of these three PDE eigenvalue problems is based on the
development of a common singular perturbation methodology to treat
localized patches or traps in combination with some detailed
analytical properties of the Neumann Green's function for the
Laplacian. With this asymptotic framework, the problem of optimizing
the principal eigenvalue for the each of these three problems is
reduced to the simpler task of determining optimal configurations for
certain discrete variational problems.

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Speaker: Michael Ward (UBC). Joint work with Dan Coombs (UBC), Alexei
Chekhov (U. Sask), Alan Lindsay (UBC), Anthony Peirce (UBC), Samara
Pillay (JP Morgan), Ronny Straube (Max Planck, Magdeburg).

The weakly coupled Fibonacci Hamiltonian: recent results and related questions

Speaker: 

Assistant Professor Anton Gorodetski

Institution: 

UC Irvine

Time: 

Friday, October 9, 2009 - 2:00pm

Location: 

RH 440R

Spectral properties of discrete Schrodinger operators with potentials generated by substitutions can be studied using so called trace maps and their dynamical properties. The aim of the talk is to describe the recent results (joint with D.Damanik) obtained in this direction for Fibonacci Hamiltonian, and to list some related problems that could potentially turn into research projects for interested graduate students.

Mathematics of Dark Matter

Speaker: 

Distinguished Professor Donald Saari

Institution: 

UC Irvine

Time: 

Friday, October 23, 2009 - 2:00pm

Location: 

RH 440R

Dark matter has been a controversial and mysterious topic since 1930s when Zwicky noticed a difference in the amount of mass obtained when computed in different manners. But much of the computations are based on what we knew about the Newtonian N-body problem 70 years ago. In this lecture, more recent results about the dynamics of the Newtonian N-body problem are described; it is shown how these results cast a new "light" on some of the dark matter assertions.

A General Framework for a Class of Primal-Dual Algorithms for TV Minimization

Speaker: 

John Esser

Institution: 

UCLA Department of Mathematics

Time: 

Monday, September 28, 2009 - 4:00pm

Location: 

RH 306

In this talk, based on joint work with Xiaoqun Zhang and Tony
Chan, I will discuss some generalizations and extensions of the
primal-dual hybrid gradient (PDHG) algorithm proposed by Zhu and Chan. The
PDHG method applied to a saddle point formulation of a convex minimization
problem proceeds by alternating proximal steps that maximize and minimize
penalized forms of the saddle function. This can be useful for producing
explicit algorithms for large non-differentiable convex problems, and a
slight modification to the method can be made to guarantee convergence.
I will mainly focus on the connections to related algorithms including
proximal forward backward splitting, split Bregman and split inexact Uzawa
methods. For the problem of minimizing sums of convex functionals
composed with linear operators, I will show how to use operator splitting
techniques that allow the modified PDHG method to be effectively applied.
Specific applications to constrained TV deblurring and compressive sensing
problems will be presented.

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