In 1966, Almgren showed that any immersed minimal surface in
S^3 of genus 0 is totally geodesic, hence congruent to the equator. In
1970, Blaine Lawson constructed many examples of minimal surfaces in S^3
of higher genus; he also constructed numerous examples of immersed minimal
tori. Motivated by these results, Lawson conjectured that any embedded
minimal surface in S^3 of genus 1 must be congruent to the Clifford
torus.
In this talk, I will describe a proof of Lawson's conjecture. The proof
involves an application of the maximum principle to a function that depends
on a pair of points on the surface.
All are welcome to the 2012-2013 Anteater Mathematics Club organizational meeting!
Come and meet fellow math enthusiasts. At this kick-off meeting we will play some fun ice-breaker games, elect club officers for the year and plan upcoming club events.
Pizza and soda will be served!
Come learn about Applying to Mathematics Graduate School!
We will discuss everything from preparing for grad school, choosing schools, the application process and what to expect once enrolled. This workshop is designed for sophomores, juniors and seniors who are thinking about attending graduate school in mathematics. Students who are graduating this year and applying to graduate school are strongly encouraged to attend.
Tools now exist that enable the extraction of data from images and video for a wide-range of biological systems. I use these approaches to implement high-throughput methods that often yield higher-quality data, new types of data, and substantially more data than previous efforts. I will discuss three examples connected to ongoing research in my lab. First, I will describe new software for automatically measuring vessel dimensions and geometry from three-dimensional angiographic (e.g., CT and MRI) images. Because these measurements are non-invasive, we can avoid concerns about distortion or destruction of the vasculature, thus leading to more reliable measurements. Second, I will show how video-tracking software is being used to track wingless fruit flies that are being hunted by wolf spiders. These high-resolution measurements allow us to study components of consumer-resource interactions that have rarely been measured before. Finally, I will outline new software to identify individual bacterial colonies grown in agar plates, measure their sizes, and construct size distributions. With these measurements, we can analyze how the phenotype of colony size, including coefficient of variation and other measures of the size distribution, responds to a range of concentrations of antibiotics, potentially helping to reveal how bacterial diversity relates to the evolution of resistance.
The Stokes-Darcy model arises in many interesting real world applications, including groundwater flows in karst aquifers, interaction between surface and subsurface flows, industrial filtrations, oil reservoir in vuggy porous medium, and so on. This model describes the free flow of a liquid by the Stokes or Navier-Stokes equation and the confined flow in a porous media by the Darcy equation; the two flows are coupled through interface conditions. For the problems mentioned, the resulting coupled Stokes-Darcy model has higher fidelity than either the Darcy or Stokes systems on their own. However, coupling the two constituent models leads to a very complex system.
This presentation discusses multi-physics domain decomposition methods for solving the coupled Stokes-Darcy system. Robin boundary conditions based on the physical interface conditions are utilized to decouple the Stokes and Darcy parts of the system. A parallel iterative domain decomposition method is first constructed for the steady state Stokes-Darcy model with the Beavers-Joseph interface condition. Then two parallel non-iterative domain decomposition methods are proposed for the time-dependent Stokes-Darcy model with the Beavers-Joseph-Saffman interface condition. Numerical examples are presented to illustrate the features of these methods and verify the theoretical results.
We will introduce the rudiments of a new theory of non-smooth
solutions which applies to fully nonlinear PDE systems and extends
Viscosity Solutions of Crandall-Ishii-Lions to the general vector case.
Key ingredient is the discovery of a notion of Extremum for maps which
extends min-max uniquely and allows for ``nonlinear passage of
derivatives" to test maps. The notions supports uniqueness, existence
and stability results, preserving most features of the scalar viscosity
counterpart. We will also discuss applications in vector-valued Calculus
of Variations in $L^\infty$ and Hamilton-Jacobi PDE with vector
solution.
In this talk, we focus on the study of mathematical theory of
the complex fluids. In the first part, we discuss the global existence for
weak solutons to multidimensional compressible flow of nematic liquid
crystals and the incompressible limits. In the second part, we establish
global existence and uniqueness results for weak solutions to
multidimensional Navier-Stokes-Vlasov equations.
The Laplacian operator and related constructions play a pivotal role in a
wide range of machine learning and dimensionality reduction applications,
which boil down to finding eigenvectors and eigenvalues of a Laplacian
constructed on some high-dimensional manifold. Important examples include
spectral clustering, eigenmaps and diffusion maps, and diffusion metrics
measuring the ``connectivity'' of points on a manifold. These applications
have been considered mostly in the context of uni-modal data, i.e., a
single data space. However, many applications involve observations and
measurements of data done using different modalities.
In this talk, I will show how to construct an extension of diffusion
geometry to multiple modalities through joint approximate diagonalization
of Laplacian matrices. I will provide several synthetic and real examples
of manifold learning, dimensionality reduction, and clustering, demonstrating
that the joint diffusion geometry better captures the inherent structure of
multi-modal data. I will also show several applications in deformable
shape analysis.
(based on joint work with M. Bronstein, D. Eynard, K. Glashoff, and A. Kovnatsky)