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Monday, November 30, 2015 - 11:05 ,
Location: Skiles 006 ,
Dr. Ahmet Özkan Özer ,
University of Nevada-Reno ,
aozer@unr.edu ,
Organizer: Chi-Jen Wang

In many applications, such as vibration of smart structures (piezoelectric, magnetorestrive, etc.), the physical quantity of interest depends both on the space an time. These systems are mostly modeled by partial differential equations (PDE), and the solutions of these systems evolve on infinite dimensional function spaces. For this reason, these systems are called infinite dimensional systems. Finding active controllers in order to influence the dynamics of these systems generate highly involved problems. The control theory for PDE governing the dynamics of smart structures is a mathematical description of such situations. Accurately modeling these structures play an important role to understanding not only the overall dynamics but the controllability and stabilizability issues. In the first part of the talk, the differences between the finite and infinite dimensional control theories are addressed. The major challenges tagged along in controlling coupled PDE are pointed out. The connection between the observability and controllability concepts for PDE are introduced by the duality argument (Hilbert's Uniqueness Method). Once this connection is established, the PDE models corresponding to the simple piezoelectric material structures are analyzed in the same context. Some modeling issues will be addressed. Major results are presented, and open problems are discussed. In the second part of the talk, a problem of actively constarined layer (ACL) structures is considered. Some of the major results are presesented. Open problems in this context are discussed. Some of this research presented in this talk are joint works with Prof. Scott Hansen (ISU) and Kirsten Morris (UW).

Monday, November 23, 2015 - 14:05 ,
Location: Skiles 005 ,
Li Wang ,
UCLA->SUNY Buffalo ,
Organizer: Martin Short

We study the shock dynamics for a gravity-driven thin film flow with a
suspension of particles down an incline, which is described by a system
of conservation laws equipped with an equilibrium theory for particle
settling and resuspension. Singular shock appears in the high particle
concentration case that relates to the particle-rich ridge observed in
the experiments. We analyze the formation of the singular shock as well
as its local structure, and extend to the finite volume case, which
leads to a linear relationship between the shock front with time to the
one-third power. We then add the surface tension effect into the model
and show how it regularizes the singular shock via numerical
simulations.

Monday, November 16, 2015 - 14:05 ,
Location: Skiles 005 ,
Gil Ariel ,
Bar-Ilan University ,
Organizer:

Collective
movement is one of the most prevailing observations in nature. Yet, despite
considerable progress, many of the theoretical principles underlying the
emergence of large scale synchronization among moving individuals are still
poorly understood. For example, a key question in the study of animal motion is
how the details of locomotion, interaction between individuals and the environment
contribute to the macroscopic dynamics of the hoard, flock or swarm. The
talk will present some of the prevailing models for swarming and collective
motion with emphasis on stochastic descriptions. The goal is to identify some generic characteristics
regarding the build-up and maintenance of collective order in swarms. In
particular, whether order and disorder correspond to different phases,
requiring external environmental changes to induce a transition, or rather meta-stable
states of the dynamics, suggesting that the emergence of order is kinetic.
Different aspects of the phenomenon will be presented, from experiments with locusts
to our own attempts towards a statistical physics of collective motion.

Monday, November 2, 2015 - 14:05 ,
Location: Skiles 005 ,
Professor James von Brecht ,
Cal State University, Long Beach ,
Organizer: Martin Short

In this talk, I will discuss mathematical models and tools for analyzing
physical and biological processes that exhibit co-dimension one
characteristics. Examples include the assembly of inorganic
polyoxometalate (POM) macroions into hollow spherical structures and the
assembly of surfactant molecules into micelles and vesicles. I will
characterize when such structures can arise in the context of isotropic
and anisotropic models, as well as applications of these insights to
physical models of these behaviors.

Thursday, October 29, 2015 - 11:00 ,
Location: Skiles 006 ,
Philippe Chartier ,
INRIA Rennes, Université de Rennes I, ENS Rennes ,
Philippe.Chartier@inria.fr ,
Organizer: Molei Tao

Joint with School of Math Colloquium. Special time (colloquium time).

In this talk, I will introduce B-series, which are formal series indexed by trees, and briefly expose the two laws operating on them. The presentation of algebraic aspects will here be focused on applications to numerical analysis. I will then show how B-series can be used on two examples: modified vector fields techniques, which allow for the construction of arbitrarly high-order schemes, and averaging methods, which lie at the core of many numerical schemes highly-oscillatory evolution equations. Ultimately and if time permits, I will illustrate how these concepts lead to the accelerated simulation of the rigid body and the (nonlinear) Schrödinger equations. A significant part of the talk will remain expository and aimed at a general mathematical audience.

Tuesday, October 27, 2015 - 12:30 ,
Location: Skiles 005 ,
Venkat Chandrasekaran ,
Cal Tech ,
Organizer: Greg Blekherman

Due to its favorable analytical properties, the relative
entropy function plays a prominent role in a variety of contexts in
information theory and in statistics. In this talk, I'll discuss some
of the beneficial computational properties of this function by
describing a class of relative-entropy-based convex relaxations for
obtaining bounds on signomials programs (SPs), which arise commonly in
many problems domains. SPs are non-convex in general, and families of
NP-hard problems can be reduced to SPs. By appealing to
representation theorems from real algebraic geometry, we show that
sequences of bounds obtained by solving increasingly larger relative
entropy programs converge to the global optima for broad classes of
SPs. The central idea underlying our approach is a connection between
the relative entropy function and efficient proofs of nonnegativity
via the arithmetic-geometric-mean inequality. (Joint work with
Parikshit Shah.)

Monday, October 26, 2015 - 14:00 ,
Location: Skiles 005 ,
Professor Maarten de Hoop ,
Rice University ,
mdehoop@purdue.edu ,
Organizer:

We consider an inverse problem for an inhomogeneous wave equation with
discrete-in-time sources, modeling a seismic rupture. We assume that
the sources occur along an unknown path with subsonic velocity, and
that data is collected over time on some detection surface. We explore
the question of uniqueness for these problems, and show how to recover
the times and locations of sources microlocally first, and then the
smooth part of the source assuming that it is the same at each source
location. In case the sources (now all different) are (roughly
speaking) non-negative and of limited oscillation in space, and
sufficiently separated in space-time, which is a model for
microseismicity, we present an explicit reconstruction, requiring
sufficient local energy decay. (Joint research with L. Oksanen and J. Tittelfitz)

Monday, October 19, 2015 - 14:00 ,
Location: Skiles 005 ,
Eric de Sturler ,
Department of Mathematics, Virginia Tech ,
sturler@vt.edu ,
Organizer: Sung Ha Kang

In nonlinear inverse problems, we often optimize an objective function involving many sources, where each source requires the solution of a PDE. This leads to the solution of a very large number of large linear systems for each nonlinear function evaluation, and potentially additional systems (for detectors) to evaluate or approximate a Jacobian. We propose a combination of simultaneous random sources and detectors and optimized (for the problem) sources and detectors to drastically reduce the number of systems to be solved. We apply our approach to problems in diffuse optical tomography.This is joint work with Misha Kilmer and Selin Sariaydin.

Wednesday, October 14, 2015 - 14:00 ,
Location: Skiles 270 ,
Vira Babenko ,
The University of Utah ,
babenko@math.utah.edu ,
Organizer: Sung Ha Kang

A wide variety of questions which range from social and economic sciences to physical and biological sciences lead to functions with values that are sets in finite or infinite dimensional spaces, or that are fuzzy sets. Set-valued and fuzzy-valued functions attract attention of a lot of researchers and allow them to look at numerous problems from a new point of view and provide them with new tools, ideas and results. In this talk we consider a generalized concept of such functions, that of functions with values in so-called L-space, that encompasses set-valued and fuzzy functions as special cases and allow to investigate them from the common point of view. We will discus several problems of Approximation Theory and Numerical Analysis for functions with values in L-spaces. In particular numerical methods of solution of Fredholm and Volterra integral equations for such functions will be presented.

Monday, October 5, 2015 - 14:00 ,
Location: Skiles 005 ,
Felix Lieder ,
Mathematisches Institut Lehrstuhl für Mathematische Optimierung ,
lieder@opt.uni-duesseldorf.de ,
Organizer:

Survival can be tough: Exposing a bacterial strain to new
environments will typically lead to one of two possible outcomes. First,
not surprisingly, the strain simply dies; second the strain adapts in
order to survive. In this talk we are concerned with the hardness of
survival, i.e. what is the most eﬃcient (smartest) way to adapt to new
environments? How many new abilities does a bacterium need in order to
survive? Here we restrict our focus on two speciﬁc bacteria, namely
E.coli and Buchnera. In order to answer the questions raised, we ﬁrst
model the underlying problem as an NP-hard decision problem. Using a
re-weighted l1-regularization approach, well known from image
reconstruction, we then approximate ”good” solutions. A numerical
comparison between these ”good” solutions and the ”exact” solutions
concludes the talk.