Recovery of high frequency wave fields from phase space based measurements

Speaker: 

Professor Hailiang Liu

Institution: 

Iowa State University

Time: 

Thursday, May 28, 2009 - 3:00pm

Location: 

RH 340P

Computation of high frequency solutions to wave equations is important
in many applications, and notoriously difficult in resolving wave
oscillations. Gaussian beams are asymptotically valid high frequency solutions
concentrated on a single curve through the physical domain, and superposition
of Gaussian beams provides a powerful tool to generate more general high
frequency solutions to PDEs. In this talk I will present a recovery theory of
high frequency wave fields from phase space based measurements. The
construction use essentially the idea of Gaussian beams, level set description
in phase space as well as the geometric optics. Our main result asserts that
the kth order phase space based Gaussian beam superposition converges to the
original wave field in L2 at the rate of $\epsilon^{k/2-n/4} in dimension $n$.
The damage done by caustics is accurately quantified. Though some calculations
are carried out only for linear Schroedinger equations, our results and
main arguments apply to more general linear wave equations. This work is in
collaboration with James Ralston (UCLA).

Application of critical point theory to problems in partial differential equations

Speaker: 

Martin Schechter

Institution: 

UC Irvine

Time: 

Thursday, April 23, 2009 - 3:00pm

Location: 

RH 340P

For many partial differential equations and systems that arise in applications, solutions are critical points of corresponding functionals. One can solve such problems by finding the critical points. We discuss various techniques for finding them and apply the methods to specific problems. The talk can also be followed by nonspecialists and students.

Elliptic and Parabolic Equations with rough coefficients in Sobolev Spaces

Speaker: 

Doyoon Kim

Institution: 

University of Southern California

Time: 

Thursday, May 7, 2009 - 3:00pm

Location: 

RH 340P

The unique solvability of second order elliptic and parabolic equations (in either divergence form or non-divergence form) in Sobolev spaces is well known if the leading coefficients are, for example, uniformly continuous.
However, in general, it is not possible to solve equations in Sobolev spaces unless the coefficients have some regularity assumptions.
In this talk we will discuss some possible classes of discontinuous coefficients with which elliptic and parabolic equations are uniquely solvable in Sobolev spaces.
Especially, as our main results, we will focus on the unique solvability of equations with coefficients only measurable in one spatial variable and having small mean oscillations in the other variables (called partially BMO coefficients).
We will also discuss some applications of our results as well as a new approach to a priori L_p estimates.
Most of the talk is based on joint work with Nicolai Krylov and with Hongjie Dong.

Image denoising/deblurring with BV and homogeneous Sobolev spaces

Speaker: 

Yunho Kim

Institution: 

UCLA

Time: 

Thursday, March 5, 2009 - 3:00pm

Location: 

RH 340P

Given a blurry image, the goal is to find the most clear image. There are many methods to solve this inverse problem in the case of cartoon images containing rather piecewise smooth objects. However, in the presence of oscillations the blurring process removes those oscillations in the images and that makes this inverse problem harder to solve. We approach this problem by minimizing a convex functional whose domain is the product of the space of functions of bounded variation and the homogeneous Sobolev space. As we will see, the homogeneous Sobolev space turns out to be a good space to capture oscillations. We will talk about the existence of a minimizer and characterization of the minimizers and PDE based numerical scheme and then briefly discuss a noisy case. If time permits, we will also talk about a medical image denoising application.

Simulation of Multi-Phase Flow in Porous Media Through Integrated Upscaling, MPFA Discretization, and Adaptivity

Speaker: 

James Lambers

Institution: 

Stanford University

Time: 

Thursday, February 26, 2009 - 3:00pm

Location: 

RH 340P

In processes involving multi-phase flow in highly heterogeneous media, such as oil recovery by gas injection, mobile phases will seek high-permeability flow paths. Therefore, it is essential that models for such processes effectively account for these paths. For this purpose, we have developed a computational framework for flow solvers based on adapted Cartesian grids that are equipped with multi-point flux approximations obtained with specialized transmissibility upscaling methods.

For gridding, we propose using Cartesian Cell-based Anisotropically Refined (CCAR) grids, which inherit the ease of Cartesian grids while providing rapid transition between coarse and fine scales to resolve fine-scale features accurately and efficiently. We present an iterative algorithm for automatically generating such grids based on geological data and information from global coarse-scale flow simulations.

For upscaling, we discuss a local transmissibility upscaling method, called Variable Compact Multi-Point (VCMP), that uses spatially varying and compact multi-point flux stencils. The stencil weights are chosen so as to reproduce generic local flow problems accurately, while remaining as close as possible to a two-point flux for the sake of robustness. The inherent flexibility of VCMP can also be exploited to ensure that the solution of the resulting system satisfies a discrete maximum principle.

We conclude with application of these gridding, upscaling and discretization methods, originally designed for single-phase flow, to two-phase flow, which requires enhancing our adaptive mesh refinement scheme in order to accurately resolve rapidly advanacing saturation fronts. We show that adaptivity allows such accurate resolution by upscaling only single-phase parameters, thus avoiding the significant computational expense of multi-phase upscaling.

What is Different About the Ergodic Theory of Stochastic PDEs (vs ODEs)?

Speaker: 

Professor Jonathan Mattingly

Institution: 

Duke University

Time: 

Friday, November 14, 2008 - 4:00pm

Location: 

RH 306

I will discuss the difficulties which arise when one considers the long time behavior of a stochastically forced PDE. I will try to highlight that there are different cases which require very different ideas. Some cases can be seen as extensions of what is done in finite
dimensions, others require new tools and ideas. I will concentrate on the case of degenerately forced SPDEs. I will describe an extension of
Hormander's "sum of squares theorem" to hypo-elliptic operators in infinite dimensions. I will discuss the concert examples of the 2D
Navier Stokes equations on the torus and sphere as well as a class of reaction diffusion equations. In these contexts the discussion will center on the transfer of randomness between scales.

Nonlinear Stability of Periodic Traveling-Wave Solutions for the Benjamin-Ono Equation.

Speaker: 

Professor Jaime Angulo Pava

Institution: 

University of Sao Paulo,Brazil

Time: 

Thursday, November 13, 2008 - 3:00pm

Location: 

RH 340P

In this lecture, we present a method which has broad applicability to studies of nonlinear stability of periodic traveling-wave solutions for equations of KdV-type. In particular we obtain the existence and stability of a family of periodic traveling-wave solutions for the Benjamin-Ono equation via the classical Poisson summation theorem and positivity properties of the Fourier transform.

Method for the Linear Schroedinger Equation of N-interacting Particles

Speaker: 

Professor Claude Bardos

Institution: 

University of Paris 7

Time: 

Monday, October 27, 2008 - 4:00pm

Location: 

RH 306

This is a report on a joint work with Isabelle Catto, Norbert Mauser and Saber Trabelsi. The Multiconfiguration time dependent Hartree Fock Method (MCTDHF) is a nonlinear approximation of a linear system of /N/ quantum particles with binary interaction. It combines the principle of the Hartree Fock and the Galerkin approximation. The main difficulty is the introduction of a global (in space) density matrix $\Gamma(t) $ which may degenerate. By construction this approximation formally preserves the mass and the energy of the system. The conservation of energy can be used to balance the singularities Coulomb potential and to provide sufficient conditions for the global in time invertibility of $\Gamma(t)$.

In numerical computations this matrix is very often regularized (changed into $\Gamma(t) +\epsilon(t)$). In this situation the energy is no more conserved
and the mathematical analysis done in $L^2$ relies on Strichartz type estimates.

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