Readings from the Invention of the Calculus Integral Program Reading
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Differential Calculus and by Era Integral Calculus, Which Are Related by in Early Cultures in Classical Antiquity the Fundamental Theorem of Calculus
History of calculus - Wikipedia, the free encyclopedia 1/1/10 5:02 PM History of calculus From Wikipedia, the free encyclopedia History of science This is a sub-article to Calculus and History of mathematics. History of Calculus is part of the history of mathematics focused on limits, functions, derivatives, integrals, and infinite series. The subject, known Background historically as infinitesimal calculus, Theories/sociology constitutes a major part of modern Historiography mathematics education. It has two major Pseudoscience branches, differential calculus and By era integral calculus, which are related by In early cultures in Classical Antiquity the fundamental theorem of calculus. In the Middle Ages Calculus is the study of change, in the In the Renaissance same way that geometry is the study of Scientific Revolution shape and algebra is the study of By topic operations and their application to Natural sciences solving equations. A course in calculus Astronomy is a gateway to other, more advanced Biology courses in mathematics devoted to the Botany study of functions and limits, broadly Chemistry Ecology called mathematical analysis. Calculus Geography has widespread applications in science, Geology economics, and engineering and can Paleontology solve many problems for which algebra Physics alone is insufficient. Mathematics Algebra Calculus Combinatorics Contents Geometry Logic Statistics 1 Development of calculus Trigonometry 1.1 Integral calculus Social sciences 1.2 Differential calculus Anthropology 1.3 Mathematical analysis -
Calculus? Can You Think of a Problem Calculus Could Be Used to Solve?
Mathematics Before you read Discuss these questions with your partner. What do you know about calculus? Can you think of a problem calculus could be used to solve? В A Vocabulary Complete the definitions below with words from the box. slope approximation embrace acceleration diverse indispensable sphere cube rectangle 1 If something is a(n) it В Reading 1 isn't exact. 2 An increase in speed is called Calculus 3 If something is you can't Calculus is the branch of mathematics that deals manage without it. with the rates of change of quantities as well as the length, area and volume of objects. It grew 4 If you an idea, you accept it. out of geometry and algebra. There are two 5 A is a three-dimensional, divisions of calculus - differential calculus and square shape. integral calculus. Differential calculus is the form 6 Something which is is concerned with the rate of change of quantities. different or of many kinds. This can be illustrated by slopes of curves. Integral calculus is used to study length, area 7 If you place two squares side by side, you and volume. form a(n) The earliest examples of a form of calculus date 8 A is a three-dimensional back to the ancient Greeks, with Eudoxus surface, all the points of which are the same developing a mathematical method to work out distance from a fixed point. area and volume. Other important contributions 9 A is also known as a fall. were made by the famous scientist and mathematician, Archimedes. In India, over the 98 Macmillan Guide to Science Unit 21 Mathematics 4 course of many years - from 500 AD to the 14th Pronunciation guide century - calculus was studied by a number of mathematicians. -
Squaring the Circle a Case Study in the History of Mathematics the Problem
Squaring the Circle A Case Study in the History of Mathematics The Problem Using only a compass and straightedge, construct for any given circle, a square with the same area as the circle. The general problem of constructing a square with the same area as a given figure is known as the Quadrature of that figure. So, we seek a quadrature of the circle. The Answer It has been known since 1822 that the quadrature of a circle with straightedge and compass is impossible. Notes: First of all we are not saying that a square of equal area does not exist. If the circle has area A, then a square with side √A clearly has the same area. Secondly, we are not saying that a quadrature of a circle is impossible, since it is possible, but not under the restriction of using only a straightedge and compass. Precursors It has been written, in many places, that the quadrature problem appears in one of the earliest extant mathematical sources, the Rhind Papyrus (~ 1650 B.C.). This is not really an accurate statement. If one means by the “quadrature of the circle” simply a quadrature by any means, then one is just asking for the determination of the area of a circle. This problem does appear in the Rhind Papyrus, but I consider it as just a precursor to the construction problem we are examining. The Rhind Papyrus The papyrus was found in Thebes (Luxor) in the ruins of a small building near the Ramesseum.1 It was purchased in 1858 in Egypt by the Scottish Egyptologist A. -
Historical Notes on Calculus
Historical notes on calculus Dr. Vladimir Dotsenko Dr. Vladimir Dotsenko Historical notes on calculus 1/9 Descartes: Describing geometric figures by algebraic formulas 1637: Ren´eDescartes publishes “La G´eom´etrie”, that is “Geometry”, a book which did not itself address calculus, but however changed once and forever the way we relate geometric shapes to algebraic equations. Later works of creators of calculus definitely relied on Descartes’ methodology and revolutionary system of notation in the most fundamental way. Ren´eDescartes (1596–1660), courtesy of Wikipedia Dr. Vladimir Dotsenko Historical notes on calculus 2/9 Fermat: “Pre-calculus” 1638: In a letter to Mersenne, Pierre de Fermat explains what later becomes the key point of his works “Methodus ad disquirendam maximam et minima” and “De tangentibus linearum curvarum”, that is “Method of discovery of maximums and minimums” and “Tangents of curved lines” (published posthumously in 1679). This is not differential calculus per se, but something equivalent. Pierre de Fermat (1601–1665), courtesy of Wikipedia Dr. Vladimir Dotsenko Historical notes on calculus 3/9 Pascal and Huygens: Implicit calculus In 1650s, slightly younger scientists like Blaise Pascal and Christiaan Huygens also used methods similar to those of Fermat to study maximal and minimal values of functions. They did not talk about anything like limits, but in fact were doing exactly the things we do in modern calculus for purposes of geometry and optics. Blaise Pascal (1623–1662), courtesy of Christiaan Huygens (1629–1695), Wikipedia courtesy of Wikipedia Dr. Vladimir Dotsenko Historical notes on calculus 4/9 Barrow: Tangents vs areas 1669-70: Isaac Barrow publishes “Lectiones Opticae” and “Lectiones Geometricae” (“Lectures on Optics” and “Lectures on Geometry”), based on his lectures in Cambridge. -
Evolution of Mathematics: a Brief Sketch
Open Access Journal of Mathematical and Theoretical Physics Mini Review Open Access Evolution of mathematics: a brief sketch Ancient beginnings: numbers and figures Volume 1 Issue 6 - 2018 It is no exaggeration that Mathematics is ubiquitously Sujit K Bose present in our everyday life, be it in our school, play ground, SN Bose National Center for Basic Sciences, Kolkata mobile number and so on. But was that the case in prehistoric times, before the dawn of civilization? Necessity is the mother Correspondence: Sujit K Bose, Professor of Mathematics (retired), SN Bose National Center for Basic Sciences, Kolkata, of invenp tion or discovery and evolution in this case. So India, Email mathematical concepts must have been seen through or created by those who could, and use that to derive benefit from the Received: October 12, 2018 | Published: December 18, 2018 discovery. The creative process of discovery and later putting that to use must have been arduous and slow. I try to look back from my limited Indian perspective, and reflect up on what might have been the course taken up by mathematics during 10, 11, 12, 13, etc., giving place value to each digit. The barrier the long journey, since ancient times. of writing very large numbers was thus broken. For instance, the numbers mentioned in Yajur Veda could easily be represented A very early method necessitated for counting of objects as Dasha 10, Shata (102), Sahsra (103), Ayuta (104), Niuta (enumeration) was the Tally Marks used in the late Stone Age. In (105), Prayuta (106), ArA bud (107), Nyarbud (108), Samudra some parts of Europe, Africa and Australia the system consisted (109), Madhya (1010), Anta (1011) and Parartha (1012). -
Pure Mathematics
good mathematics—to be without applications, Hardy ab- solved mathematics, and thus the mathematical community, from being an accomplice of those who waged wars and thrived on social injustice. The problem with this view is simply that it is not true. Mathematicians live in the real world, and their mathematics interacts with the real world in one way or another. I don’t want to say that there is no difference between pure and ap- plied math. Someone who uses mathematics to maximize Why I Don’t Like “Pure the time an airline’s fleet is actually in the air (thus making money) and not on the ground (thus costing money) is doing Mathematics” applied math, whereas someone who proves theorems on the Hochschild cohomology of Banach algebras (I do that, for in- † stance) is doing pure math. In general, pure mathematics has AVolker Runde A no immediate impact on the real world (and most of it prob- ably never will), but once we omit the adjective immediate, I am a pure mathematician, and I enjoy being one. I just the distinction begins to blur. don’t like the adjective “pure” in “pure mathematics.” Is mathematics that has applications somehow “impure”? The English mathematician Godfrey Harold Hardy thought so. In his book A Mathematician’s Apology, he writes: A science is said to be useful of its development tends to accentuate the existing inequalities in the distri- bution of wealth, or more directly promotes the de- struction of human life. His criterion for good mathematics was an entirely aesthetic one: The mathematician’s patterns, like the painter’s or the poet’s must be beautiful; the ideas, like the colours or the words must fit together in a harmo- nious way. -
J. Wallis the Arithmetic of Infinitesimals Series: Sources and Studies in the History of Mathematics and Physical Sciences
J. Wallis The Arithmetic of Infinitesimals Series: Sources and Studies in the History of Mathematics and Physical Sciences John Wallis was appointed Savilian Professor of Geometry at Oxford University in 1649. He was then a relative newcomer to mathematics, and largely self-taught, but in his first few years at Oxford he produced his two most significant works: De sectionibus conicis and Arithmetica infinitorum. In both books, Wallis drew on ideas originally developed in France, Italy, and the Netherlands: analytic geometry and the method of indivisibles. He handled them in his own way, and the resulting method of quadrature, based on the summation of indivisible or infinitesimal quantities, was a crucial step towards the development of a fully fledged integral calculus some ten years later. To the modern reader, the Arithmetica Infinitorum reveals much that is of historical and mathematical interest, not least the mid seventeenth-century tension between classical geometry on the one hand, and arithmetic and algebra on the other. Newton was to take up Wallis’s work and transform it into mathematics that has become part of the mainstream, but in Wallis’s text we see what we think of as modern mathematics still 2004, XXXIV, 192 p. struggling to emerge. It is this sense of watching new and significant ideas force their way slowly and sometimes painfully into existence that makes the Arithmetica Infinitorum such a relevant text even now for students and historians of mathematics alike. Printed book Dr J.A. Stedall is a Junior Research Fellow at Queen's University. She has written a number Hardcover of papers exploring the history of algebra, particularly the algebra of the sixteenth and 159,99 € | £139.99 | $199.99 ▶ seventeenth centuries. -
Numerical Integration of Functions with Logarithmic End Point
FACTA UNIVERSITATIS (NIS)ˇ Ser. Math. Inform. 17 (2002), 57–74 NUMERICAL INTEGRATION OF FUNCTIONS WITH ∗ LOGARITHMIC END POINT SINGULARITY Gradimir V. Milovanovi´cand Aleksandar S. Cvetkovi´c Abstract. In this paper we study some integration problems of functions involv- ing logarithmic end point singularity. The basic idea of calculating integrals over algebras different from the standard algebra {1,x,x2,...} is given and is applied to evaluation of integrals. Also, some convergence properties of quadrature rules over different algebras are investigated. 1. Introduction The basic motive for our work is a slow convergence of the Gauss-Legendre quadrature rule, transformed to (0, 1), 1 n (1.1) I(f)= f(x) dx Qn(f)= Aνf(xν), 0 ν=1 in the case when f(x)=xx. It is obvious that this function is continuous (even uniformly continuous) and positive over the interval of integration, so that we can expect a convergence of (1.1) in this case. In Table 1.1 we give relative errors in Gauss-Legendre approximations (1.1), rel. err(f)= |(Qn(f) − I(f))/I(f)|,forn = 30, 100, 200, 300 and 400 nodes. All calculations are performed in D- and Q-arithmetic, with machine precision ≈ 2.22 × 10−16 and ≈ 1.93 × 10−34, respectively. (Numbers in parentheses denote decimal exponents.) Received September 12, 2001. The paper was presented at the International Confer- ence FILOMAT 2001 (Niˇs, August 26–30, 2001). 2000 Mathematics Subject Classification. Primary 65D30, 65D32. ∗The authors were supported in part by the Serbian Ministry of Science, Technology and Development (Project #2002: Applied Orthogonal Systems, Constructive Approximation and Numerical Methods). -
Convolution Quadrature and Discretized Operational Calculus. II*
Numerische Numer. Math. 52, 413-425 (1988) Mathematik Springer-Verlag 1988 Convolution Quadrature and Discretized Operational Calculus. II* C. Lubich Institut ffir Mathematik und Geometrie,Universit~it Innsbruck, Technikerstrasse 13, A-6020 Innsbruck, Austria Summary. Operational quadrature rules are applied to problems in numerical integration and the numerical solution of integral equations: singular inte- grals (power and logarithmic singularities, finite part integrals), multiple time- scale convolution, Volterra integral equations, Wiener-Hopf integral equa- tions. Frequency domain conditions, which determine the stability of such equations, can be carried over to the discretization. Subject Classifications: AMS(MOS): 65R20, 65D30; CR: G1.9. 6. Introduction In this paper we give applications of the operational quadrature rules of Part I to numerical integration and the numerical solution of integral equations. It is the aim to indicate problem classes where such methods can be applied success- fully, and to point out features which distinguish them from other approaches. Section 8 deals with the approximation of integrals with singular kernel. This comes as a direct application of the results of Part I. In Sect. 9 we study the numerical approximation of convolution integrals whose kernel has components at largely differing time-scales. In Sect. 10 we give a case study for a problem in chemical absorption kinetics. There a system of an ordinary differential equation coupled with a diffusion equation is reduced to a single Volterra integral equation. This reduction is achieved in a standard way via Laplace transform techniques and, as is typical in such situations, it is the Laplace transform of the kernel (rather than the kernel itself) which is known a priori, and which is of a simple form. -
Simplifying Integration for Logarithmic Singularities R.N.L. Smith
Transactions on Modelling and Simulation vol 12, © 1996 WIT Press, www.witpress.com, ISSN 1743-355X Simplifying integration for logarithmic singularities R.N.L. Smith Department of Applied Mathematics & OR, Cranfield University, RMCS, Shrivenham, Swindon, Wiltshire SN6 SLA, UK Introduction Any implementation of the boundary element method requires consideration of three types of integral - simple non-singular integrals, singular integrals of two kinds and those integrals which are 'nearly singular' (Brebbia and Dominguez 1989). If linear elements are used all integrals may be per- formed exactly (Jaswon and Symm 1977), but the additional complexity of quadratic or cubic element programs appears to give a significant gain in efficiency, and such elements are therefore often utilised; These elements may be curved and can represent complex shapes and changes in boundary variables more effectively. Unfortunately, more complex elements require more complex integration routines than the routines for straight elements. In dealing with BEM codes simplicity is clearly desirable, particularly when attempting to show others the value of boundary methods. Non-singular integrals are almost invariably dealt with by a simple Gauss- Legendre quadrature and problems with near-singular integrals may be overcome by using the same simple integration scheme given a sufficient number of integration points and some restriction on the minimum distance between a given element and the nearest off-element node. The strongly singular integrals which appear in the usual BEM direct method may be evaluated using the row sum technique which may not be the most efficient available but has the virtue of being easy to explain and implement. -
Chapter 6 Numerical Integration
Chapter 6 Numerical Integration In many computational economic applications, one must compute the de¯nite integral of a real-valued function f de¯ned on some interval I of n. Some applications call for ¯nding the area under the function, as in comp<uting the change in consumer welfare caused by a price change. In these instances, the integral takes the form f(x) dx: ZI Other applications call for computing the expectation of a function of a random variable with a continuous probability density p. In these instances the integral takes the form f(x)p(x) dx: ZI We will discuss only the three numerical integration techniques most com- monly encountered in practice. Newton-Cotes quadrature techniques employ a strategy that is a straightforward generalization of Riemann integration principles. Newton-Cotes methods are easy to implement. They are not, however, the most computationally e±cient way of computing the expec- tation of a smooth function. In such applications, the moment-matching strategy embodied by Gaussian quadrature is often substantially superior. Finally, Monte Carlo integration methods are discussed. Such methods are simple to implement and are particularly useful for complex high-dimensional integration, but should only be used as a last resort. 1 6.1 Newton-Cotes Quadrature Consider the problem of computing the de¯nite integral f(x) dx Z[a;b] of a real-valued function f over a bounded interval [a; b] on the real line. Newton-Cotes quadrature rules approximate the integrand f with a piece- wise polynomial function f^ and take the integral of f^ as an approximation of the integral of f. -
Fermat's Technique of Finding Areas Under Curves
Fermat’s technique of finding areas under curves Ed Staples Erindale College, ACT <[email protected]> erhaps next time you head towards the fundamental theorem of calculus Pin your classroom, you may wish to consider Fermat’s technique of finding expressions for areas under curves, beautifully outlined in Boyer’s History of Mathematics. Pierre de Fermat (1601–1665) developed some impor- tant results in the journey toward the discovery of the calculus. One of these concerned finding areas under simple polynomial curves. It is an amazing fact that, despite deriving these results, he failed to document any connection between tangents and areas. The method is essentially an exercise in geometric series, and I think it is instructive and perhaps refreshing to introduce a little bit of variation from the standard introductions. The method is entirely accessible to senior students, and makes an interesting connection between the anti derivative result and the factorisation of (1 – rn+1). Fermat considered that the area between x = 0 and x = a below the curve y = xn and above the x-axis, to be approximated by circumscribed rectangles where the width of each rectangle formed a geometric sequence. The divi- sions into which the interval is divided, from the right hand side are made at x = a, x = ar, x = ar2, x = ar3 etc., where a and r are constants, with 0 < r < 1 as shown in the diagram. A u s t r a l i a n S e n i o r M a t h e m a t i c s J o u r n a l 1 8 ( 1 ) 53 s e 2 l p If we first consider the curve y = x , the area A contained within the rectan- a t S gles is given by: A = (a – ar)a2 + (ar – ar2)(ar)2 + (ar2 – ar3)(ar2)2 + … This is a geometric series with ratio r3 and first term (1 – r)a3.