epshteyn (at) math.utah.edu)
August 24 (Welcome Back!)
Speaker: Andrej Cherkaev, Department of Mathematics, University of Utah
Title: Optimal Multicomponent Composites: Amazing 3d Structures and hint for new bounds.
Abstract:I will review the latest results concerning optimal multicomponent 2D- and 3D composite structures. These structures are minimizing sequences of a variational problem with a multiwell Lagrangian; their energy represents a relaxed energy of an optimal composite or a quasiconvex envelope of the Lagrangian. Analysis of the fields in optimal structures provides hints for modification of a lower bound for the relaxed energy.
Speaker: Jack Xin, Department of Mathematics, University of California, Irvine
Title: Minimizing the Difference of L1 and L2 Norms and Applications
Abstract:L1 norm minimization is a widely used convex method for enforcing sparsity in signal recovery and model selection. In this talk, we introduce a non-convex Lipschitz continuous function, the difference of L1 and L2 norms (DL12), and discuss its sparsity promoting properties. Using examples in compressed sensing and imaging, we show that there can be plenty of gain beyond L1 by minimizing DL12 at a moderate level of additional computation via the difference of convex function algorithms. We shall draw a connection of DL12 with penalty functions in statistics and machine learning.
September 18 (Student Talk). Note, Room JWB 333
Speaker: Vira Babenko, Department of Mathematics, University of Utah
Title: Numerical Analysis of Set-Valued and Fuzzy-Valued functions - A Unified Approach and Applications.
Abstract:A wide variety of questions from social, economic, physical, and biological sciences can be formulated using functions with values that are fuzzy sets or sets in finite or infinite dimensional spaces. Set-valued and fuzzy-valued functions attract attention of many 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 L-spaces. This class of functions encompasses set-valued and fuzzy functions as special cases which allows us to investigate them from a common point of view. We will discuss several problems of Approximation Theory and Numerical Analysis for functions with values in L-spaces. In particular, we will present numerical methods of solution of Fredholm and Volterra integral equations for such functions.
Speaker: Michael Meylan, School of Mathematical and Physical Sciences, The University of Newcastle, Australia
Title: Wave - Ice interaction, field measurements, laboratory experiments, and mathematical models
Abstract: The attenuation and scattering of waves by sea ice is a complex process and the current state of our knowledge is quite limited. This in turn makes it difficult to make even the most basic predictions of wave induced melting or to forecast the wave state in the frozen ocean. The key process which we need to model is the interaction of ocean waves with a single ice floe (or small groups of floes). However, we only have field measurements of large scale wave attenuation (over hundreds of ice floes) and it is actually not obvious how to scale from single floe models to multiple floe problems. Therefore the models are lacking validation at both the large and small scale. In a recent series of experiments performed in a wavetank we have tried to validate and test the range of applicability of our numerical models. I will present results and comparisons from these experiments and discuss their implications for accurate modelling of wave-ice interactions.
September 25. Note, Room LCB 215
Speaker: Owen Miller, Department of Mathematics, MIT
Title: Photonic Design: Reaching the Limits of Light-Matter Interactions
Abstract: Photonic devices are emerging for an increasing variety of technological applications, ranging from sensors to solar cells. In three areas - photovoltaics, nanoparticle scattering, and radiative heat transfer - I will show how large-scale computational optimization and rigorous analytical frameworks enable rapid search through large design spaces, and spur discovery of fundamental limits to interactions between light and matter.
In photovoltaics, the famous ray-optical 4n^2 limit to absorption enhancement has for decades served as a critical design goal, and it motivated the use of quasi-random textures in commercial solar cells. I will show that at subwavelength scales, non-intuitive, computationally designed textures outperform random ones, and can closely approach the 4n^2 limit. Pivoting to metallic structures, where there has not been an analogous "4n^2" limit, I will show how energy-conservation principles lead to fundamental limits to the optical response of metals, answering a long-standing question about the tradeoff between resonant enhancement and material loss. The limits were stimulated by a computational discovery in nanoparticle optimization, where I will present theoretical designs and experimental measurements (by a collaborator) approaching the upper bounds of absorption and scattering. The limits can be extended to the emerging field of radiative heat transfer, where they suggest the possibility for periodic, nanostructured media to exhibit orders-of-magnitude improvement over previous designs.
October 19 (Student Talk and Ph.D defense)
Speaker: Predrag Krtolica, Department of Mathematics, University of Utah
Title: Compatibility Conditions in Discrete Structures and Application to Damage
Abstract: The work introduces compatibility conditions in discrete lattices and describes their properties. A connection between discrete and continuum compatibility conditions is made. The spread of damage in lattices is analyzed using compatibility conditions.
This talk is a part of the defense of PhD dissertation.
Speaker: Jeremy Marzuola, Department of Mathematics, University of North Carolina, Chapel Hill
Title: Morse/Maslov Indices for Elliptic Operators on General Domains
Abstract:With Graham Cox and Chris Jones, we first study second-order, self-adjoint elliptic operators on a smooth one-parameter family of domains without any assumptions on the symmetry. It will follow that the Morse index for the elliptic operator can be related to the Maslov index of an appropriately defined path in a symplectic Hilbert space defined on the boundary. Specifically, the Maslov index of the path we define relates the Morse index of the initial domain to the Morse index of the final domain. This is particularly useful when the domain can be taken to have arbitrarily small volume, because the spectral problem is particularly simple in that case. This generalizes previous results of Deng-Jones that were only available on star-shaped domains, or for Dirichlet boundary conditions. With the Morse index theorem in hand, we will also explore several higher dimensional applications in stability theory. Then, we will discuss recent results on manifold decompositions and applications of the Maslov index to elliptic operators on general domains, even without boundary.
This is work constitutes a large scale stability theory project undertaken
with G. Cox, C. Jones, R. Marangell, A. Sukhtayev, and S.
Speaker: Simon Lemaire, CERMICS Laboratory at École des Ponts ParisTech (Marne-la-Vallée, France)
Title: Hybrid High-Order methods for the arbitrary-order structure-preserving discretization of PDEs on polytopal meshes
Abstract: Hybrid High-Order (HHO) methods are discontinuous skeletal methods that enable the discretization of PDEs on general polygonal/polyhedral meshes. HHO methods are based on face- and cell-centered polynomial unknowns (hence the term hybrid), and allow for high-order discretizations. They offer several assets: their construction is dimension-independent, they are locally conservative, and they make the robust treatment of physical parameters possible in various situations (heterogeneous/anisotropic diffusion, quasi-incompressible linear elasticity, advection-dominated transport...). When compared to interior penalty DG methods, HHO methods are also appealing in terms of computational cost. They have now been tested on a wide variety of linear and nonlinear problems.
Joint work with Daniele A. Di Pietro and Alexandre Ern
Speaker: Fernando Guevara Vasquez, Department of Mathematics, University of Utah
Speaker: Davit Harutyunyan, Department of Mathematics, University of Utah
Title: Extremal quasiconvex quadratic forms
Joint work with Graeme Milton
Speaker: Francois Monard, Department of Mathematics, University of Washington
epshteyn (at) math.utah.edu).
Past lectures: Spring 2015, Fall 2014, Spring 2014, Fall 2013, Spring 2013, Fall 2012, Spring 2012, Fall 2011, Spring 2011, Fall 2010, Spring 2010, Fall 2009, Spring 2009, Fall 2008, Spring 2008, Fall 2007, Spring 2007, Fall 2006, Spring 2006, Fall 2005, Spring 2005, Fall 2004, Spring 2004, Fall 2003, Spring 2003, Fall 2002, Spring 2002, Fall 2001, Spring 2001, Fall 2000, Spring 2000, Fall 1999, Spring 1999, Fall 1998, Spring 1998, Winter 1998, Fall 1997, Spring 1997, Winter 1997, Fall 1996, Spring 1996, Winter 1996, Fall 1995.