Project description for MATH 689, Spring 2016 Instructor: Dr. Alan Demlow In your project you will investigate a current research topic and present an oral summary of your findings to the class. Oral presentations will be 40 minutes long and will take place during the last two class periods (April 28 and May 3, two presentations each), and our final exam period (Tuesday, May 10 8-10 a.m.) or another suitable time agreed upon by the instructor and students (three presentations). The basic expectation is that you will digest (at least) one substantial research paper. Your presentation should consist of an outline of context and previous results for the problem tackled in your paper, a statement of the problem, the main results, and a synopsis of the proofs of the main results. If you do not have time to give full proofs during your talk, be sure to at least explain the main technical challenges overcome in the proofs. It would be appropriate to for example prove a key lemma and then explain more briefly how it is used to obtain the overall results in the paper. Each student should choose a research topic and make an appointment to discuss it with me outside of class by Tuesday, April 5. A list of suggested papers and topics is below; other papers are also fine if agreed upon with me. List of potential topics 1. Instance optimality of AFEM [7] 2. Plain convergence of AFEM [12, 15] 3. Convergence of AFEM for discontinuous Galerkin methods [5] Min 4. AFEM for eigenvalue problems [9, 8, 3] Justin 5. AFEM for Maxwell’s equations [16] Yanbo 6. Goal-oriented AFEM [11] 7. Muckenhoupt spaces, fractional diffusion [13, 14] Peng 8. AFEM for the Laplace-Beltrami problem [2] 9. AFEM for the Stokes equation [1, 10, 4] Yong 10. AFEM for controlling L2 errors: [6] Wenyu References [1] E. Bänsch, P. Morin, and R. H. Nochetto, An adaptive Uzawa FEM for the Stokes problem: convergence without the inf-sup condition, SIAM J. Numer. Anal., 40 (2002), pp. 1207–1229. [2] A. Bonito, J. M. Cascon, P. Morin, and R. H. Nochetto, AFEM for Geometric PDE: The Laplace-Beltrami Operator, in Analysis and Numerics of Partial Differential Equations. In memory of Enrico Magenes, vol. 4 of Springer INdAM Series, Springer, 2013. 1 [3] A. Bonito and A. Demlow, Convergence and optimality of higher-order adaptive finite element methods for eigenvalue clusters, preprint, (2015). [4] A. Bonito and D. Devaud, Adaptive finite element methods for the Stokes problem with discontinuous viscosity, Math. Comp., 84 (2015), pp. 2137–2162. [5] A. Bonito and R. H. Nochetto, Quasi-optimal convergence rate of an adaptive discontinuous Galerkin method, SIAM J. Numer. Anal., 48 (2010), pp. 734–771. [6] A. Demlow and R. Stevenson, Convergence and quasi-optimality of an adaptive finite element method for controlling L2 errors, Numer. Math., 117 (2011), pp. 185–218. [7] L. Diening, C. Kreuzer, and R. Stevenson, Instance Optimality of the Adaptive Maximum Strategy, Found. Comput. Math., 16 (2016), pp. 33–68. [8] D. Gallistl, An optimal adaptive FEM for eigenvalue clusters, Numer. Math., 130 (2015), pp. 467–496. [9] E. M. Garau, P. Morin, and C. Zuppa, Convergence of adaptive finite element methods for eigenvalue problems, Math. Models Methods Appl. Sci., 19 (2009), pp. 721–747. [10] Y. Kondratyuk and R. Stevenson, An optimal adaptive finite element method for the Stokes problem, SIAM J. Numer. Anal., 46 (2008), pp. 747–775. [11] M. S. Mommer and R. Stevenson, A goal-oriented adaptive finite element method with convergence rates, SIAM J. Numer. Anal., 47 (2009), pp. 861–886. [12] P. Morin, K. G. Siebert, and A. Veeser, A basic convergence result for conforming adaptive finite elements, Math. Models Methods Appl. Sci., 18 (2008), pp. 707–737. [13] R. H. Nochetto, E. Otárola, and A. J. Salgado, Piecewise polynomial interpolation in Muckenhoupt weighted sobolev spaces and applications, Numer. Math., 132 (2016), pp. 85– 130. [14] , A PDE approach to space-time fractional parabolic problems, SIAM J. Numer. Anal, (to appear). [15] K. G. Siebert, A convergence proof for adaptive finite elements without lower bound, IMA J. Numer. Anal., 31 (2011), pp. 947–970. [16] L. Zhong, L. Chen, S. Shu, G. Wittum, and J. Xu, Convergence and Optimality of adaptive edge finite element methods for time-harmonic Maxwell equations, Math. Comp., (To appear.). 2