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January 1993 Council Minutes
AMERICAN MATHEMATICAL SOCIETY COUNCIL MINUTES San Antonio, Texas 12 January 1993 November 21, 1995 Abstract The Council met at 2:00 pm on Tuesday, 12 January 1993 in the Fiesta Room E of the San Antonio Convention Center. The following members were present for all or part of the meeting: Steve Armentrout, Michael Artin, Sheldon Axler, M. Salah Baouendi, James E. Baumgartner, Lenore Blum, Ruth M. Charney, Charles Herbert Clemens, W. W. Com- fort (Associate Secretary, voting), Carl C. Cowen, Jr., David A. Cox, Robert Daverman (Associate Secretary-designate, non-voting) , Chandler Davis, Robert M. Fossum, John M. Franks, Herbert Friedman (Canadian Mathematical Society observer, non-voting), Ronald L. Graham, Judy Green, Rebecca Herb, William H. Jaco (Executive Director, non-voting), Linda Keen, Irwin Kra, Elliott Lieb, Franklin Peterson, Carl Pomerance, Frank Quinn, Marc Rieffel, Hugo Rossi, Wilfried Schmid, Lance Small (Associate Secre- tary, non-voting), B. A. Taylor (Mathematical Reviews Editorial Committee and Associate Treasurer-designate), Lars B. Wahlbin (representing Mathematics of Computation Edito- rial Committee), Frank W. Warner, Steve H. Weintraub, Ruth Williams, and Shing-Tung Yau. President Artin presided. 1 2 CONTENTS Contents 0 CALL TO ORDER AND INTRODUCTIONS. 4 0.1 Call to Order. ............................................. 4 0.2 Retiring Members. .......................................... 4 0.3 Introduction of Newly Elected Council Members. ......................... 4 1 MINUTES 4 1.1 September 92 Council. ........................................ 4 1.2 11/92 Executive Committee and Board of Trustees (ECBT) Meeting. .............. 5 2 CONSENT AGENDA. 5 2.1 INNS .................................................. 5 2.2 Second International Conference on Ordinal Data Analysis. ................... 5 2.3 AMS Prizes. .............................................. 5 2.4 Special Committee on Nominating Procedures. -
Universität Regensburg Mathematik
UniversitÄatRegensburg Mathematik Parametric Approximation of Surface Clusters driven by Isotropic and Anisotropic Surface Energies J.W. Barrett, H. Garcke, R. NÄurnberg Preprint Nr. 04/2009 Parametric Approximation of Surface Clusters driven by Isotropic and Anisotropic Surface Energies John W. Barrett† Harald Garcke‡ Robert N¨urnberg† Abstract We present a variational formulation for the evolution of surface clusters in R3 by mean curvature flow, surface diffusion and their anisotropic variants. We intro- duce the triple junction line conditions that are induced by the considered gradient flows, and present weak formulations of these flows. In addition, we consider the case where a subset of the boundaries of these clusters are constrained to lie on an external boundary. These formulations lead to unconditionally stable, fully dis- crete, parametric finite element approximations. The resulting schemes have very good properties with respect to the distribution of mesh points and, if applicable, volume conservation. This is demonstrated by several numerical experiments, in- cluding isotropic double, triple and quadruple bubbles, as well as clusters evolving under anisotropic mean curvature flow and anisotropic surface diffusion, including for regularized crystalline surface energy densities. Key words. surface clusters, mean curvature flow, surface diffusion, soap bubbles, triple junction lines, parametric finite elements, anisotropy, tangential movement AMS subject classifications. 65M60, 65M12, 35K55, 53C44, 74E10, 74E15 1 Introduction Equilibrium soap bubble clusters are stationary solutions of the variational problem in which one seeks a least area way to enclose and separate a number of regions with pre- scribed volumes. The relevant energy in this case is given as the sum of the total surface area. -
MSRI Celebrates Its Twentieth Birthday, Volume 50, Number 3
MSRI Celebrates Its Twentieth Birthday The past twenty years have seen a great prolifera- renewed support. Since then, the NSF has launched tion in mathematics institutes worldwide. An in- four more institutes: the Institute for Pure and spiration for many of them has been the Applied Mathematics at the University of California, Mathematical Sciences Research Institute (MSRI), Los Angeles; the AIM Research Conference Center founded in Berkeley, California, in 1982. An es- at the American Institute of Mathematics (AIM) in tablished center for mathematical activity that Palo Alto, California; the Mathematical Biosciences draws researchers from all over the world, MSRI has Institute at the Ohio State University; and the distinguished itself for its programs in both pure Statistical and Applied Mathematical Sciences and applied areas and for its wide range of outreach Institute, which is a partnership of Duke University, activities. MSRI’s success has allowed it to attract North Carolina State University, the University of many donations toward financing the construc- North Carolina at Chapel Hill, and the National tion of a new extension to its building. In October Institute of Statistical Sciences. 2002 MSRI celebrated its twentieth year with a Shiing-Shen Chern, Calvin C. Moore, and I. M. series of special events that exemplified what MSRI Singer, all on the mathematics faculty at the Uni- has become—a focal point for mathematical culture versity of California, Berkeley, initiated the original in all its forms, with the discovery and delight of proposal for MSRI; Chern served as the founding new mathematical knowledge the top priority. director, and Moore was the deputy director. -
Field Guide 3 to 4
How to use the Building a Strong Foundation for School Success Series; Field Guide This field guide was created to offer an easy‐to‐read, practical supplement to the KY Early Childhood Standards (KYECS) for anyone who works with young children birth to four years old. This guide is intended to support early childhood professionals who work in the following settings: home settings, early intervention settings, and center‐based care. The field guide has chapters for each of the Kentucky Early Childhood Standards. Below is a description of the information you will find in each chapter. Each chapter will begin with a brief overview of the standard. In this paragraph, you will find information about what this standard is and the theory and research to support its use. Each chapter contains a section called Crossing Bridges. It is important to understand that the developmental domains of young children often cross and impact others. While a provider is concentrating on a young child learning communication skills, there are other domains or standards being experienced as well. This section tells the reader how this standard supports other standards and domains. For example, you will see that social emotional development of an infant supports or overlaps the infant’s communication development. Each chapter contains a section called Post Cards. This section offers supportive quotes about the standard. In this section, readers will also find narratives, written by early care providers for early care providers. These narratives provide a window into how the standard is supported in a variety of settings. Each chapter contains a section called Sights to See. -
January 1994 Council Minutes
AMERICAN MATHEMATICAL SOCIETY COUNCIL MINUTES Cincinnati, Ohio 11 January 1994 Abstract The Council met at 1:00 pm on Tuesday, 11 January 1994 in the Regency Ball- room B, Hyatt Regency Cincinnati, Cincinnati, Ohio. Members in attendance were Michael Artin, M. Salah Baouendi, James E. Baum- gartner, Joan S. Birman, Ruth M. Charney, Carl C. Cowen, Jr., David A. Cox, Robert J. Daverman (Associate Secretary of record), Chandler Davis, Robert M. Fossum, John M. Franks, Walter Gautschi, Ronald L. Graham, Judy Green, Philip J. Hanlon, Rebecca A. Herb, Arthur M. Jaffe, Svetlana R. Katok, Linda Keen, Irwin Kra, Steven George Krantz, James I. Lepowsky, Peter W. K. Li, Elliott H. Lieb, Anil Nerode, Richard S. Palais (for Murray Protter, Bulletin), Franklin P. Peterson, Marc A. Rieffel, Lance W. Small (Associate Secretary, non-voting), Elias M. Stein (for Wilfried Schmid, Journal of the American Mathematical Soci- ety), B. A. Taylor, Frank Warner III, Steven H. Weintraub, Ruth J. Williams, and Susan Gayle Williams. Members of the Council who will take office on 01 February 1994 and who were in attendance were: Cathleen Morawetz, Jean Taylor, Frank Morgan, and Sylvia Wiegand. President Graham called the meeting to order at 1:10 PM. 1 2 CONTENTS Contents I MINUTES 5 0 CALL TO ORDER AND INTRODUCTIONS. 5 0.1 Call to Order. ........................................ 5 0.2 Retiring Members. ..................................... 5 0.3 Introduction of Newly Elected Council Members. .................... 5 1MINUTES 5 1.1 August 93 Council. ..................................... 5 1.2 11/93 Executive Committee and Board of Trustees (ECBT) Meeting. ......... 6 2 CONSENT AGENDA. 6 2.1 National Association of Mathematicians. -
May 2005.Pmd
American Mathematical Association of Two-Year Colleges Serving the professional needs of two-year college mathematics educators Volume 20, Number 3 May 2005 NNeewwss ISSN 0889-3845 Annual AMATYC Conference in San Diego oin your colleagues November 10–13, 2005, in San Diego, CA, for the 31st Annual AMATYC Conference. This year’s theme, Catch the Wave, will capture your imagina- tionJ as you participate in professional development opportunities designed with your students’ success in mind. Ride the wave of learning from your colleagues, build profes- sional relationships, and refresh yourself professionally. You can examine the latest textbooks and explore exciting new technology brought to you by our exhibitors. Featured presentations will include: The Mathematics of Juggling Ronald Graham, the Irwin and Joan Jacobs Professor in the Department of Computer Science and Engineering of UCSD and Chief Scientist at California Institute for Telecommunications and Information Technology, Cal-IT2, of UC San Diego, will be the Opening Session keynote speaker on Thursday at 3:00 p.m. Ron is a well-known, accom- plished mathematician. He is Past President of the Mathematical Association of America and was a long-time friend of Paul Erdös. He was Chief Scientist at AT&T Labs for many years and speaks fluent Chinese. Graham’s number was in the Guiness Book of Records as the “largest number,” and is inexpressible in ordinary notation and needs special notation devised by Don Knuth in 1976. An ex-president of the International Jugglers Associa- tion, Graham will highlight some of the new ways to describe juggling patterns that have led to previously un- known patterns and many new mathematical theorems on Friday evening. -
Large Complex Networks: Deterministic Models
Internet C. Elegans Large Complex Networks: Deteministic Models (Recursive Clique-Trees) WWW Erdös number Air routes http://www.caida.org/tools/visualization/plankton/ Francesc Comellas Departament de Matemàtica Aplicada IV, Proteins Universitat Politècnica de Catalunya, Barcelona [email protected] Power grid Real networks very often are Most “real” networks are Large Complex systems small-world scale-free self-similar Small-world Different elements (nodes) Interaction among elements (links) small diameter log(|V|), large clustering Scale-free power law degree distribution ( “hubs” ) Complex networks Self-similar / fractal Mathematical model: Graphs Deterministic models Small diameter (logarithmic) Power law Fractal (degrees) Based on cliques Milgram 1967 Song, Havlin & (hierarchical graphs, recursive High clustering Barabási & Makse Watts & Albert 1999 2005,2006 clique-trees, Apollonian graphs) Strogatz 1998 6 degrees of separation ! Stanley Milgram (1967) Main parameters (invariants) 160 letters Omaha -Nebraska- -> Boston Diameter – average distance Degree Δ degree. Small-world networks P(k): Degree distribution. small diameter (or average dist.) Clustering Are neighbours of a vertex also neighbours among high clustering them? Small world phenomenon in social networks What a small-world ! Structured graph Small-world graph Random graph Network characteristics •highclustering •highclustering • small clustering • large diameter • small diameter • small diameter # of links among neighbors •regular Clustering C(v) = Erdös number •almostregular n(n-1)/2 http://www.oakland.edu/enp/ Diameter or Average distance Maximum communication delay 1- 509 Degree distribution 2- 7494 Resilience N= 268.000 Jul 2004 |V| = 1000 Δ =10 |V|=1000 Δ =8-13 |V|=1000 Δ = 5-18 Real life networks are clustered, large C(p), but have small (connected component) D = 100 d =49.51 D = 14 d = 11.1 D = 5 d = 4.46 average distance L(p ). -
Cannonballs and Honeycombs, Volume 47, Number 4
fea-hales.qxp 2/11/00 11:35 AM Page 440 Cannonballs and Honeycombs Thomas C. Hales hen Hilbert intro- market. “We need you down here right duced his famous list of away. We can stack the oranges, but 23 problems, he said we’re having trouble with the arti- a test of the perfec- chokes.” Wtion of a mathe- To me as a discrete geometer Figure 1. An matical problem is whether it there is a serious question be- optimal can be explained to the first hind the flippancy. Why is arrangement person in the street. Even the gulf so large between of equal balls after a full century, intuition and proof? is the face- Hilbert’s problems have Geometry taunts and de- centered never been thoroughly fies us. For example, what cubic tested. Who has ever chatted with about stacking tin cans? Can packing. a telemarketer about the Riemann hy- anyone doubt that parallel rows pothesis or discussed general reciprocity of upright cans give the best arrange- laws with the family physician? ment? Could some disordered heap of cans Last year a journalist from Plymouth, New waste less space? We say certainly not, but the Zealand, decided to put Hilbert’s 18th problem to proof escapes us. What is the shape of the cluster the test and took it to the street. Part of that prob- of three, four, or five soap bubbles of equal vol- lem can be phrased: Is there a better stacking of ume that minimizes total surface area? We blow oranges than the pyramids found at the fruit stand? bubbles and soon discover the answer but cannot In pyramids the oranges fill just over 74% of space prove it. -
Introduction to Nonlinear Geometric Pdes
Introduction to nonlinear geometric PDEs Thomas Marquardt January 16, 2014 ETH Zurich Department of Mathematics Contents I. Introduction and review of useful material 1 1. Introduction 3 1.1. Scope of the lecture . .3 1.2. Accompanying books . .4 1.3. A historic survey . .5 2. Review: Differential geometry 7 2.1. Hypersurfaces in Rn ..............................7 2.2. Isometric immersions . 11 2.3. First variation of area . 12 3. Review: Linear PDEs of second order 15 3.1. Elliptic PDEs in H¨older spaces . 15 3.2. Elliptic PDEs in Sobolev spaces . 18 3.3. Parabolic PDEs in H¨older spaces . 20 II. Nonlinear elliptic PDEs of second order 25 4. General theory for quasilinear problems 27 4.1. Fixed point theorems: From Brouwer to Leray-Schauder . 27 4.2. Reduction to a priori estimates in the C1,β-norm . 29 4.3. Reduction to a priori estimates in the C1-norm . 30 5. The prescribed mean curvature problem 33 5.1. C0-estimate . 33 5.2. Interior gradient estimate . 37 5.3. Boundary gradient estimate . 40 5.4. Existence and uniqueness theorem . 45 6. General theory for fully nonlinear problems 49 6.1. Fully nonlinear Dirichlet problems . 50 6.2. Fully nonlinear oblique derivative problems . 52 7. The capillary surface problem 57 7.1. C0-estimate . 58 7.2. Global gradient estimate . 60 7.3. Existence and uniqueness theorem . 66 III. Geometric evolution equations 67 8. Classical solutions of MCF and IMCF 69 8.1. Short-time existence . 69 8.2. Evolving graphs under mean curvature flow . 74 8.3. -
1875–2012 Dr. Jan E. Wynn
HISTORY OF THE DEPARTMENT OF MATHEMATICS BRIGHAM YOUNG UNIVERSITY 1875–2012 DR. LYNN E. GARNER DR. GURCHARAN S. GILL DR. JAN E. WYNN Copyright © 2013, Department of Mathematics, Brigham Young University All rights reserved 2 Foreword In August 2012, the leadership of the Department of Mathematics of Brigham Young University requested the authors to compose a history of the department. The history that we had all heard was that the department had come into being in 1954, formed from the Physics Department, and with a physicist as the first chairman. This turned out to be partially true, in that the Department of Mathematics had been chaired by physicists until 1958, but it was referred to in the University Catalog as a department as early as 1904 and the first chairman was appointed in 1906. The authors were also part of the history of the department as professors of mathematics: Gurcharan S. Gill 1960–1999 Lynn E. Garner 1963–2007 Jan E. Wynn 1966–2000 Dr. Gill (1956–1958) and Dr. Garner (1960–1962) were also students in the department and hold B. S. degrees in Mathematics from BYU. We decided to address the history of the department by dividing it into three eras of quite different characteristics. The first era (1875–1978): Early development of the department as an entity, focusing on rapid growth during the administration of Kenneth L. Hillam as chairman. The second era (1978–1990): Efforts to bring the department in line with national standards in the mathematics community and to establish research capabilities, during the administration of Peter L. -
S the Summation S Department of Mathematics & Computer Science Newsletter · Santa Clara University · 2018
S The SummaTion S Department of Mathematics & Computer Science Newsletter · Santa Clara University · 2018 Remarks from the Department Chair Hi. This is Ed Schaefer, I succeeded Fr. Dennis Smo- larksi, S.J. and Glenn Appleby as Chair. We hope you are all doing well and that we have been one of the pieces that helped prepare you for your life. Both nationwide and at SCU, the percentage of students majoring in STEM fields (Science, Technology, Engineering, and Mathematics) is increasing. At SCU, we are seeing huge growth in both Computer Science and Computer Engineering. In our De- partment, we currently have about 250 Computer Science majors and 100 Mathematics majors. The Department’s enrollment in Winter 2018 classes is about 2100 students. Each of the last three years we have hired a new tenure-track faculty member and we have plans to hire six more continuing faculty over the next two years. The Department has received two gifts to improve our first year mathematics curriculum and retention of students traditionally under-represented in STEM. One gift is from the Koret Foundation and the other is from anonymous donors – they total $700,000. This has enabled us to support several exciting new programs. We are piloting lab sections for precalculus, STEM Calculus 1 and Business Calculus 1 (Math 9, 11, and 30). Each lab meets once a week for an hour. Active learning pedagogies are used in the labs, including a lot of group work focused on longer, conceptual problems. Students in SCU’s successful LEAD program, for first generation undergraduates, all take the labs, which are optional for other students. -
THE GEOMETRY of BUBBLES and FOAMS University of Illinois Department of Mathematics Urbana, IL, USA 61801-2975 Abstract. We Consi
THE GEOMETRY OF BUBBLES AND FOAMS JOHN M. SULLIVAN University of Illinois Department of Mathematics Urbana, IL, USA 61801-2975 Abstract. We consider mathematical models of bubbles, foams and froths, as collections of surfaces which minimize area under volume constraints. The resulting surfaces have constant mean curvature and an invariant notion of equilibrium forces. The possible singularities are described by Plateau's rules; this means that combinatorially a foam is dual to some triangulation of space. We examine certain restrictions on the combina- torics of triangulations and some useful ways to construct triangulations. Finally, we examine particular structures, like the family of tetrahedrally close-packed structures. These include the one used by Weaire and Phelan in their counterexample to the Kelvin conjecture, and they all seem useful for generating good equal-volume foams. 1. Introduction This survey records, and expands on, the material presented in the author's series of two lectures on \The Mathematics of Soap Films" at the NATO School on Foams (Cargese, May 1997). The first lecture discussed the dif- ferential geometry of constant mean curvature surfaces, while the second covered the combinatorics of foams. Soap films, bubble clusters, and foams and froths can be modeled math- ematically as collections of surfaces which minimize their surface area sub- ject to volume constraints. Each surface in such a solution has constant mean curvature, and is thus called a cmc surface. In Section 2 we examine a more general class of variational problems for surfaces, and then concen- trate on cmc surfaces. Section 3 describes the balancing of forces within a cmc surface.