Calculus for a New Century: a Pump, Not a Filter
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Plotting Direction Fields in Matlab and Maxima – a Short Tutorial
Plotting direction fields in Matlab and Maxima – a short tutorial Luis Carvalho Introduction A first order differential equation can be expressed as dx x0(t) = = f(t; x) (1) dt where t is the independent variable and x is the dependent variable (on t). Note that the equation above is in normal form. The difficulty in solving equation (1) depends clearly on f(t; x). One way to gain geometric insight on how the solution might look like is to observe that any solution to (1) should be such that the slope at any point P (t0; x0) is f(t0; x0), since this is the value of the derivative at P . With this motivation in mind, if you select enough points and plot the slopes in each of these points, you will obtain a direction field for ODE (1). However, it is not easy to plot such a direction field for any function f(t; x), and so we must resort to some computational help. There are many computational packages to help us in this task. This is a short tutorial on how to plot direction fields for first order ODE’s in Matlab and Maxima. Matlab Matlab is a powerful “computing environment that combines numeric computation, advanced graphics and visualization” 1. A nice package for plotting direction field in Matlab (although resourceful, Matlab does not provide such facility natively) can be found at http://math.rice.edu/»dfield, contributed by John C. Polking from the Dept. of Mathematics at Rice University. To install this add-on, simply browse to the files for your version of Matlab and download them. -
A Note on Integral Points on Elliptic Curves 3
Journal de Th´eorie des Nombres de Bordeaux 00 (XXXX), 000–000 A note on integral points on elliptic curves par Mark WATKINS Abstract. We investigate a problem considered by Zagier and Elkies, of finding large integral points on elliptic curves. By writ- ing down a generic polynomial solution and equating coefficients, we are led to suspect four extremal cases that still might have non- degenerate solutions. Each of these cases gives rise to a polynomial system of equations, the first being solved by Elkies in 1988 using the resultant methods of Macsyma, with there being a unique rational nondegenerate solution. For the second case we found that resultants and/or Gr¨obner bases were not very efficacious. Instead, at the suggestion of Elkies, we used multidimensional p-adic Newton iteration, and were able to find a nondegenerate solution, albeit over a quartic number field. Due to our methodol- ogy, we do not have much hope of proving that there are no other solutions. For the third case we found a solution in a nonic number field, but we were unable to make much progress with the fourth case. We make a few concluding comments and include an ap- pendix from Elkies regarding his calculations and correspondence with Zagier. Resum´ e.´ A` la suite de Zagier et Elkies, nous recherchons de grands points entiers sur des courbes elliptiques. En ´ecrivant une solution polynomiale g´en´erique et en ´egalisant des coefficients, nous obtenons quatre cas extr´emaux susceptibles d’avoir des so- lutions non d´eg´en´er´ees. Chacun de ces cas conduit `aun syst`eme d’´equations polynomiales, le premier ´etant r´esolu par Elkies en 1988 en utilisant les r´esultants de Macsyma; il admet une unique solution rationnelle non d´eg´en´er´ee. -
Nonstandard Methods in Analysis an Elementary Approach to Stochastic Differential Equations
Nonstandard Methods in Analysis An elementary approach to Stochastic Differential Equations Vieri Benci Dipartimento di Matematica Applicata June 2008 Vieri Benci (DMA-Pisa) Nonstandard Methods 03/06 1 / 42 In most applications of NSA to analysis, only elementary tools and techniques of nonstandard calculus seems to be necessary. The advantages of a theory which includes infinitasimals rely more on the possibility of making new models rather than in the dimostration techniques. These two points will be illustrated using a-theory in the study of Brownian motion. The aim of this talk is to make two points relative to NSA: Vieri Benci (DMA-Pisa) Nonstandard Methods 03/06 2 / 42 The advantages of a theory which includes infinitasimals rely more on the possibility of making new models rather than in the dimostration techniques. These two points will be illustrated using a-theory in the study of Brownian motion. The aim of this talk is to make two points relative to NSA: In most applications of NSA to analysis, only elementary tools and techniques of nonstandard calculus seems to be necessary. Vieri Benci (DMA-Pisa) Nonstandard Methods 03/06 2 / 42 These two points will be illustrated using a-theory in the study of Brownian motion. The aim of this talk is to make two points relative to NSA: In most applications of NSA to analysis, only elementary tools and techniques of nonstandard calculus seems to be necessary. The advantages of a theory which includes infinitasimals rely more on the possibility of making new models rather than in the dimostration techniques. Vieri Benci (DMA-Pisa) Nonstandard Methods 03/06 2 / 42 The aim of this talk is to make two points relative to NSA: In most applications of NSA to analysis, only elementary tools and techniques of nonstandard calculus seems to be necessary. -
An Introduction to Nonstandard Analysis 11
AN INTRODUCTION TO NONSTANDARD ANALYSIS ISAAC DAVIS Abstract. In this paper we give an introduction to nonstandard analysis, starting with an ultrapower construction of the hyperreals. We then demon- strate how theorems in standard analysis \transfer over" to nonstandard anal- ysis, and how theorems in standard analysis can be proven using theorems in nonstandard analysis. 1. Introduction For many centuries, early mathematicians and physicists would solve problems by considering infinitesimally small pieces of a shape, or movement along a path by an infinitesimal amount. Archimedes derived the formula for the area of a circle by thinking of a circle as a polygon with infinitely many infinitesimal sides [1]. In particular, the construction of calculus was first motivated by this intuitive notion of infinitesimal change. G.W. Leibniz's derivation of calculus made extensive use of “infinitesimal” numbers, which were both nonzero but small enough to add to any real number without changing it noticeably. Although intuitively clear, infinitesi- mals were ultimately rejected as mathematically unsound, and were replaced with the common -δ method of computing limits and derivatives. However, in 1960 Abraham Robinson developed nonstandard analysis, in which the reals are rigor- ously extended to include infinitesimal numbers and infinite numbers; this new extended field is called the field of hyperreal numbers. The goal was to create a system of analysis that was more intuitively appealing than standard analysis but without losing any of the rigor of standard analysis. In this paper, we will explore the construction and various uses of nonstandard analysis. In section 2 we will introduce the notion of an ultrafilter, which will allow us to do a typical ultrapower construction of the hyperreal numbers. -
CAS (Computer Algebra System) Mathematica
CAS (Computer Algebra System) Mathematica- UML students can download a copy for free as part of the UML site license; see the course website for details From: Wikipedia 2/9/2014 A computer algebra system (CAS) is a software program that allows [one] to compute with mathematical expressions in a way which is similar to the traditional handwritten computations of the mathematicians and other scientists. The main ones are Axiom, Magma, Maple, Mathematica and Sage (the latter includes several computer algebras systems, such as Macsyma and SymPy). Computer algebra systems began to appear in the 1960s, and evolved out of two quite different sources—the requirements of theoretical physicists and research into artificial intelligence. A prime example for the first development was the pioneering work conducted by the later Nobel Prize laureate in physics Martin Veltman, who designed a program for symbolic mathematics, especially High Energy Physics, called Schoonschip (Dutch for "clean ship") in 1963. Using LISP as the programming basis, Carl Engelman created MATHLAB in 1964 at MITRE within an artificial intelligence research environment. Later MATHLAB was made available to users on PDP-6 and PDP-10 Systems running TOPS-10 or TENEX in universities. Today it can still be used on SIMH-Emulations of the PDP-10. MATHLAB ("mathematical laboratory") should not be confused with MATLAB ("matrix laboratory") which is a system for numerical computation built 15 years later at the University of New Mexico, accidentally named rather similarly. The first popular computer algebra systems were muMATH, Reduce, Derive (based on muMATH), and Macsyma; a popular copyleft version of Macsyma called Maxima is actively being maintained. -
Physics-Compatible Discretization Techniques on Single and Dual Grids, with Application to the Poisson Equation of Volume Forms
Physics-compatible discretization techniques on single and dual grids, with application to the Poisson equation of volume forms Artur Palhaa, Pedro Pinto Rebelob, Rene´ Hiemstrab, Jasper Kreeftc, Marc Gerritsmab,∗ aDelft University of Technology, Faculty of Aerospace Engineering, Wind Energy Group P.O. Box 5058, 2600 GB Delft, The Netherlands bDelft University of Technology, Faculty of Aerospace Engineering, Aerodynamics Group P.O. Box 5058, 2600 GB Delft, The Netherlands cShell Global Solutions, The Netherlands Abstract This paper introduces the basic concepts for physics-compatible discretization techniques. The paper gives a clear distinction between vectors and forms. Based on the difference between forms and pseudo-forms and the ?-operator which switches between the two, a dual grid description and a single grid description are presented. The dual grid method resembles a staggered finite volume method, whereas the single grid approach shows a strong resemblance with a finite element method. Both approaches are compared for the Poisson equation for volume forms. Keywords: Mimetic discretization, differential forms, single grid, dual grid, geometric flexibility. 1. INTRODUCTION Mimetic methods aim to preserve essential physical/mathematical structures in a discrete setting. Many of such structures are topological, i.e. independent of metric, and involve integral relations. Since integration will play an important role and integration of differential forms is a metric-free operation, we will work with differential forms. Formally, differentials forms are linear functionals on multi-vectors, but Flanders, [17, p.1], refers to them as ‘things which occur under integral signs’. Such would not be the case if we were to use vectors, because integration of vector quantities is a metric operation. -
Asenka Creative Services
Volume XII | Issue I | Winter 2013 the IVY LEAGUE CHRISTIAN OBSERVER Imani Jubilee’s Worship Tradition at Brown Page 7 Yale Discriminates Against Christian Fraternity Page 8 Evangelism Weekend at Cornell Page 11 Penn Students ‘Engage’ Philadelphia Page 12 Lecture at Columbia: The Sacred Call to Study Page 14 Following Tragedy, Harvard MARRIAGE 101 Journal Asks ‘Why?’ Roland Warren, Princeton ’83 and Wharton MBA ’86, Page 16 spoke on the virtues of covenantal marriage at the Sexuality, Integrity, and the University Dartmouth Freshman Serves Conference at Princeton University. God and Country Special section, pages 18-24 Page 27 Brown I Columbia I Cornell I Dartmouth Harvard I Penn I Princeton I Yale Developing Christian Leaders to Transform Culture The Ivy League Christian Observer is published by the Christian Union, an independent Christian ministry. PRAY WITH US FOR THE DEVELOPMENT OF CHRISTIAN LEADERS WHO WILL TRANSFORM CULTURE At Christian Union, we are prayerfully seeking God for transformation at Brown, Columbia, Cornell, Dartmouth, Harvard, Penn, Princeton, and Yale. Each year, thousands of students pass through the halls of these institutions and move out into positions of leadership in our society. Unfortunately, over 90% have had no regular Christian influence in their lives during these critical college years. Christian Union sends out monthly, campus- specific e-mails that describe the needs of the ministry. E-mails are available for Columbia, Cornell, Dartmouth, Harvard, Princeton, and Yale. Will you join us and pray regularly for the development of Christian leaders at some of our nation’s leading universities? To receive Christian Union’s prayer e-mail each month, sign up online at www.Christian-Union.org/prayer or send an e-mail to: [email protected] . -
* Supplied by EMS Are the Best That Can Be Made from the Original
DOCUMENT RESUME ED 115 128 FL 007 330 AUTHOR Thogmartin, Clyde TITLE A Bibliography of Empirical Investigations of Certain Aspects of Foreign Language Teaching and Learning, 1925-1975. PUB DATE 75 NOTE 67p. EDRS PRICE MF-$0.76 HC-$3.32 Plus Postage DESCRIPTORS Academic Achievement; *Bibliographies; Bilingual Education; Bilingualism; Educational Equipment; *Educational Research; Error Patterns; Fles; Individual Differences; Instructional Materials; Instructional Media; Interference (Language Learning); *Language Instruction; Language Proficiency; *Language Research; Language Skills; Language Tests; Psycholinguistics; *Second Language Learning; Student Attitudes; Teaching Methods; Transfer of Training; Vocabulary Development ABSTRACT This 647-item bibliography is limited to reports on empirical research and discussions of research reports on various aspects of foreign language learning, mostly drawn from American and British journals and Ph.D. dissertations since 1925 and from ERIC documents. Principal topics include content of teaching materials, cognitive effects of bilingualism, measurement of bilingual proficiency, psychological studies of bilinguals, relationships between various language skills, the psycholinguistics of second language learning, transfer and interference, error analysis, vocabulary learning, bilingual education, foreign languages in the elementary schools, individual differences in language learning success, prognosis, teaching methods, equipment, media, testing, language difficulty, and effects of language learning -
Arxiv:Cs/0608005V2 [Cs.SC] 12 Jun 2007
AEI-2006-037 cs.SC/0608005 A field-theory motivated approach to symbolic computer algebra Kasper Peeters Max-Planck-Institut f¨ur Gravitationsphysik, Albert-Einstein-Institut Am M¨uhlenberg 1, 14476 Golm, GERMANY Abstract Field theory is an area in physics with a deceptively compact notation. Although general pur- pose computer algebra systems, built around generic list-based data structures, can be used to represent and manipulate field-theory expressions, this often leads to cumbersome input formats, unexpected side-effects, or the need for a lot of special-purpose code. This makes a direct trans- lation of problems from paper to computer and back needlessly time-consuming and error-prone. A prototype computer algebra system is presented which features TEX-like input, graph data structures, lists with Young-tableaux symmetries and a multiple-inheritance property system. The usefulness of this approach is illustrated with a number of explicit field-theory problems. 1. Field theory versus general-purpose computer algebra For good reasons, the area of general-purpose computer algebra programs has histor- ically been dominated by what one could call “list-based” systems. These are systems which are centred on the idea that, at the lowest level, mathematical expressions are nothing else but nested lists (or equivalently: nested functions, trees, directed acyclic graphs, . ). There is no doubt that a lot of mathematics indeed maps elegantly to problems concerning the manipulation of nested lists, as the success of a large class of LISP-based computer algebra systems illustrates (either implemented in LISP itself or arXiv:cs/0608005v2 [cs.SC] 12 Jun 2007 in another language with appropriate list data structures). -
Final Edition, May 1, 2020
Final Edition, May 1, 2020 EXPLORATIONS 2020: Research, Scholarship and Creative Expression at William Paterson University Sponsors and Supporters Faculty Senate Research, Office of Sponsored Programs Scholarship and Creative Expression Council Martin Williams, Director Lisa Warner, College of Education, Co-Chair Christine Bravo, Assistant Director, Nicholas Hirshon, College of Arts and Pre-Award Services Communication, Co-Chair Kate Boschert, Assistant Director, Myles Garvey, Cotsakos College of Business Research Development Kim Dimino, College of Science and Health Maureen Peters, Program Assistant Richard Huizar, College of Humanities and Anna Baiata, Grant and Contract Social Sciences Support Specialist David Williams, Cheng Library Skyler Hagner, Graduate Assistant Babita Srivastava, Adjunct Representative Chuckie Moses II, Undergraduate Assistant Jan Pinkston, Honors College, Professional Staff Martin Williams, Office of Sponsored Programs Sandra Hill, Associate Provost for Academic Affairs David and Lorraine Cheng Library Honors College Edward Owusu-Ansah, Dean Barbara Andrew, Director Cotsakos College of Business Jan Pinkston, Assistant Director Susan Godar, Interim Dean College of Education 12th Annual Undergraduate Research Amy Ginsberg, Dean Conference College of Arts and Communication Bhanu P. S. Chauhan, Chemistry, Co-Chair Darryl Moore, Dean Jaishri Menon, Biology, Co-Chair Center for Research, College of Science and Health Brenda Marshal, Director Venkat Sharma, Dean College of Humanities and Social Sciences Richard Helldobler, President Wartyna Davis, Interim Dean Joshua Powers, Provost and Marketing and Public Relations Senior Vice President for Academic Stuart Goldstein, Associate Vice President Christine Diehl, Director, Marketing Affairs Poster and Cover Art Liam Garcia, Undergraduate Student, Prof. Matt Finn, Art Department William Paterson University, Copyright 2020 2 EXPLORATIONS will not be presented in-person in 2020 because of COVID-19 (Coronavirus Disease) Pandemic. -
Psychology of School Learning: Views of the Learner
DOCUMENT RESUME ED 104 859 SP 009 097 AUTHOR Bart, William M., Ed.; Wong, Martin R., Ed. TITLE Psychology of School Learning: Views of the Learner. Volume I: Environmentalism. INSTITUTION MSS Information Ccrp., New York, N.Y. PUB DATE 74 'NOTE 249p. AVAILABLE FROM MSS Information 'orporation, 655 Madison Avenue, New York, New York 10021 ($6.25 paper, $12.00 cloth, 20 percent discount on orders of $200.00 or more) EDRS PRICE MF-$0.76 HC-$12.05 PLUS POSTAGE DESCRIPTORS Behavioral Objectives; Computer Assisted Instruction; Educational Philosophy; *Educational Psychology; *Environmental Influences; Higher Education; *Learning; *Learning Specialists; Reinforcement; Teacher Education ABSTRACT This document is the first of three volumes presenting essays from three schools of thought regarding learning. Volume one consists of readings from psychologists, philosophers, and learning theorists concerning the view that the learner isa product primarily of environmental factors. The list of essays includes the following:(a) "Ideas and Their Origin," (b) "The Free and Happy Student," (c) "The Technology of Teaching," (d) "Treatment of Nonreading in a Culturally Deprived Juvenile Delinquent: An Application of Reinforcement Principles," (e) "Production and Elimination of Disruptive Classroom Behavior by Systematically Varying Teacher's Behavior," (f) "Learning Theory Approaches to Classroom Management: Rationale and Intervention Techniques," (g) "A Token Reinforcement Program in a Public School: A Replication and Systematic Analysis," (h) "Educational -
Lisp: Program Is Data
LISP: PROGRAM IS DATA A HISTORICAL PERSPECTIVE ON MACLISP Jon L White Laboratory for Computer Science, M.I.T.* ABSTRACT For over 10 years, MACLISP has supported a variety of projects at M.I.T.'s Artificial Intelligence Laboratory, and the Laboratory for Computer Science (formerly Project MAC). During this time, there has been a continuing development of the MACLISP system, spurred in great measure by the needs of MACSYMAdevelopment. Herein are reported, in amosiac, historical style, the major features of the system. For each feature discussed, an attempt will be made to mention the year of initial development, andthe names of persons or projectsprimarily responsible for requiring, needing, or suggestingsuch features. INTRODUCTION In 1964,Greenblatt and others participated in thecheck-out phase of DigitalEquipment Corporation's new computer, the PDP-6. This machine had a number of innovative features that were thought to be ideal for the development of a list processing system, and thus it was very appropriate that thefirst working program actually run on thePDP-6 was anancestor of thecurrent MACLISP. This earlyLISP was patterned after the existing PDP-1 LISP (see reference l), and was produced by using the text editor and a mini-assembler on the PDP-1. That first PDP-6 finally found its way into M.I.T.'s ProjectMAC for use by theArtificial lntelligence group (the A.1. grouplater became the M.I.T. Artificial Intelligence Laboratory, and Project MAC became the Laboratory for Computer Science). By 1968, the PDP-6 wasrunning the Incompatible Time-sharing system, and was soon supplanted by the PDP-IO.Today, the KL-I 0, anadvanced version of thePDP-10, supports a variety of time sharing systems, most of which are capable of running a MACLISP.