What happens when we decrease the length of a closed curve in
the plane as fast as possible? This seemingly simple question has a very
nice answer which involves a beautiful combination of partial differential
equations and planar geometry. Come and get a glimpse of the amazing
subject of geometric flows!
but in many cases stronger bounds hold. In particular, Rojas-Leon and Wan proved such a curve must satisfy a bound of the form
||X(F_{p^n}) - (p^n +1)|<C_{d,n} p^{(n+1)/2}
where C{d,n} is a constant that depends on d := degf and n but not p. I will talk about how to use the representation theory of the symmetric group to prove both similar bounds and related statements about the zeros of the zeta function of X. Specifically, I will define a class of auxiliary varieties Y_n, each with an action of S_n, and explain how the S_n representation H^{n-1}(Y_n) contains useful arithmetic information about X. To provide an example, I will use these techniques to show that if d is “small” relative to p, then (a/b)^p = 1 for “most” pairs of X zeta zeroes a and b.
The talk focuses on positive equilibrium (i.e. time-independent) solutions to mathematical models for the dynamics of populations structured by age and spatial position. This leads to the study of quasilinear parabolic equations with nonlocal and possibly nonlinear initial conditions. We shall see in an abstract functional analytic framework how bifurcation techniques may be combined with optimal parabolic regularity theory to establish the existence of positive solutions. As an application of these results we give a description of the geometry of coexistence states in a two-parameter predator-prey model.
Let M be a smooth hypersurface in R^{2n}. Suppose that on each side of M, there is a complex structure which is smooth up to M. Assume that the difference of the two complex structures is sufficiently small on M. We show that if a continuous function is holomorphic with respect to both complex structures, the function must be smooth from both sides of M. The regularity proof makes essential use of J-holomorphic curves and Fourier transform on families of curves.
This is joint work with Florian Bertrand and Jean-Pierre Rosay.
Animal cells crawl on flat surfaces using lamellipodium – dynamic network of actin polymers and myosin motors enveloped by the cell membrane. Experimental analysis of the lamellipodial geometry, cell speed and actin dynamics in fish keratocyte cells combined with computational modeling suggested that steady crawling of the motile cells is based on a force balance between actin growth and myosin contraction. However, explanation of unsteady movements, especially of motility initiation and turning, remains elusive. I will present simulations of a 2D model of viscous contractile actin-myosin network with free boundary that, coupled with experimental data, suggests that stick-slip nonlinear adhesion is the key to understanding polarization and turning of the motile cells.
National University of Singapore (visiting Stanford)
Time:
Monday, November 26, 2012 - 4:00pm to 5:00pm
Location:
RH306
The electromagnetic inverse scattering problem of determining the locations and polarization tensors of a collection of small scatterers is investigated. The locations of scatterers are determined by the multiple signal classification (MUSIC) method and the polarization tensors are retrieved by the two-step least squares method. Multiple scattering effect is taken into account and the inverse scattering problem is nonlinear. However, the proposed method does not involve iterative evaluations of the corresponding forward scattering problem. In addition, the method provides better imaging resolution than the standard MUSIC does, and applies to degenerate scatterers to which the standard MUSIC does not apply. The underlying mathematical principle and physical insight are discussed in detail.
During development and regeneration of a biological system, different types of cells are organized in a precise spatial pattern to achieve different biological functions. To establish a desirable spatial arrangement of various cells, such as stem cells and terminated differentiated cells, the biological host has to utilize many biological processes including diffusible molecules, feedback regulations on cell lineages, and growth. In this talk, we study how interaction among multiple morphogens and their regulations on cell differentiation capability can robustly control stability of regeneration. We also investigate the underlying mechanisms that attenuate spatial and temporal noises in both extra and intra-cellular spaces to enable formation of distinct regions with sharp boundaries consisting different cell types. In particular, we will investigate two biology systems: regeneration of colonic crypt and development of zebrafish hindbrain, using stochastic PDE models and simulations with moving boundaries.
Abstract: In order to fight infection or heal injury, living cells have to be able to move in response to chemical cues around them. As a first step, an internal chemical "map" is rapidly induced in the cell, leading to its polarization, reorganization of structural proteins (cytoskeleton), shape change, and crawling motility. In my talk, I will summarize some of the work done in my group addressing these processes. I will explain the basic properties of the signalling proteins (small GTPases) and their role in cell polarization. I will motivate a sequence of mathematical models that we have studied to understand the underlying mechanisms. One theme in my talk will be the cross-fertilization of the complex biological problem and its simplified mathematical caricatures. Another theme is the effect of cell shape on internal chemical dynamics. I will conclude with recent developments on computations of cell shape dynamics in 2D simulations.
Mathematics and biomedical engineering professor Qing Nie and biological chemistry professor Xing Dai have been awarded $2 million by the National Science Foundation to study epithelial tissue development and regulation using mathematical models and systems biology experimental methods. "This award reflects the strong interdisciplinary collaboration promoted by the Center for Mathematical & Computational Biology," said center director Nie.