Geometry, fluids, control, optimization, and imaging

Speaker: 

Tudor Ratiu

Institution: 

Ecole Polytechnique Federale de Lausanne

Time: 

Thursday, January 7, 2010 - 4:00pm

Location: 

RH 306

Variational principles are at the core of the formulation of mechanical problems. What happens in the presence of symmetry when variables can be eliminated? I will discuss the geometry underlying this reduction process and present the induced constrained variational principle and the associated Euler-Lagrange equations. The rigid body and the Euler equations for ideal fluids are examples of such reduced Euler-Lagrange equations in convective and spatial representations, respectively. This geometric structure permits the introduction of a new class of optimal control problems that have the remarkable property that the control satisfies precisely these reduced Euler-Lagrange equations. As an example, it is shown that geodesic motion for the normal metric can be controlled by geodesics on the symmetry group. In the case of fluids, these optimal control problems yield the classical Clebsch variables and singular solutions for the Camassa-Holm equation. Relaxing the constraint to a quadratic penalty yields associated optimization problems. Time permitting, the equations of metamorphosis dynamics in imaging will be deduced from this optimization problem.

Feature Extraction and its Applications in Satellite Imaging, Cancer Detection, and Stock Return Maximization

Speaker: 

Charles Lee

Institution: 

Cal State Fullerton

Time: 

Monday, February 8, 2010 - 4:00pm

Location: 

RH 306

The Principal Component Decomposition (POD) technique has been used as a model reduction tool for many applications in engineering and science. In principle, one begins with an ensemble of data, called snapshots, collected from an experiment or laboratory results. The beauty of the POD technique is, when it is applied, the entire data set can be represented by the smallest number orthogonal basis elements. It is such capability that allows us to reduce the complexity and dimensions of many physical applications. Mathematical formulations and numerical schemes for the POD method will be discussed along with three applications, satellite photo image reconstruction, cancer detection with DNA microarrays, and stock allocation optimization.

Multiscale Asymptotic models for large scale Tropical Atmosphere Waves Abstract

Speaker: 

Joseph Biello

Institution: 

UC Davis

Time: 

Monday, January 25, 2010 - 4:00pm

Location: 

RH 306

Using systematic multiscale asymptotics, Majda and Klein arrived at an asymptotic closure for the ideal fluid equations governing dynamics on large scales in the tropical atmosphere. In collaboration with Majda, we considered a plausible model for smaller scale flows in the tropics and are able to calculate the structure of the Madden-Julian oscillation; this is a planetary scale organization of winds,the understanding of which has been called "the holy grail" of tropical meteorology.

In a second problem, we studied the equatorial primitive
equations over longer time and spatial scales. The resultant coupled nonlinear dispersive equations for the amplitudes of interacting wave packets are novel both from the perspective of the atmospheric sciences and from a more general mathematical setting. These equations describe the influence of large scale tropical waves on midlatitude waves and, in particular, are relevant for understanding the effect of the Madden-Julian oscillation on midlatitude weather. I will also discuss the Hamiltonian structure of these waves and show that they admit some analytic solitary wave solutions.

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