Toward a History of Mathematics Focused on Procedures
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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 -
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. -
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. -
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). -
0.999… = 1 an Infinitesimal Explanation Bryan Dawson
0 1 2 0.9999999999999999 0.999… = 1 An Infinitesimal Explanation Bryan Dawson know the proofs, but I still don’t What exactly does that mean? Just as real num- believe it.” Those words were uttered bers have decimal expansions, with one digit for each to me by a very good undergraduate integer power of 10, so do hyperreal numbers. But the mathematics major regarding hyperreals contain “infinite integers,” so there are digits This fact is possibly the most-argued- representing not just (the 237th digit past “Iabout result of arithmetic, one that can evoke great the decimal point) and (the 12,598th digit), passion. But why? but also (the Yth digit past the decimal point), According to Robert Ely [2] (see also Tall and where is a negative infinite hyperreal integer. Vinner [4]), the answer for some students lies in their We have four 0s followed by a 1 in intuition about the infinitely small: While they may the fifth decimal place, and also where understand that the difference between and 1 is represents zeros, followed by a 1 in the Yth less than any positive real number, they still perceive a decimal place. (Since we’ll see later that not all infinite nonzero but infinitely small difference—an infinitesimal hyperreal integers are equal, a more precise, but also difference—between the two. And it’s not just uglier, notation would be students; most professional mathematicians have not or formally studied infinitesimals and their larger setting, the hyperreal numbers, and as a result sometimes Confused? Perhaps a little background information wonder . -
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. -
Connes on the Role of Hyperreals in Mathematics
Found Sci DOI 10.1007/s10699-012-9316-5 Tools, Objects, and Chimeras: Connes on the Role of Hyperreals in Mathematics Vladimir Kanovei · Mikhail G. Katz · Thomas Mormann © Springer Science+Business Media Dordrecht 2012 Abstract We examine some of Connes’ criticisms of Robinson’s infinitesimals starting in 1995. Connes sought to exploit the Solovay model S as ammunition against non-standard analysis, but the model tends to boomerang, undercutting Connes’ own earlier work in func- tional analysis. Connes described the hyperreals as both a “virtual theory” and a “chimera”, yet acknowledged that his argument relies on the transfer principle. We analyze Connes’ “dart-throwing” thought experiment, but reach an opposite conclusion. In S, all definable sets of reals are Lebesgue measurable, suggesting that Connes views a theory as being “vir- tual” if it is not definable in a suitable model of ZFC. If so, Connes’ claim that a theory of the hyperreals is “virtual” is refuted by the existence of a definable model of the hyperreal field due to Kanovei and Shelah. Free ultrafilters aren’t definable, yet Connes exploited such ultrafilters both in his own earlier work on the classification of factors in the 1970s and 80s, and in Noncommutative Geometry, raising the question whether the latter may not be vulnera- ble to Connes’ criticism of virtuality. We analyze the philosophical underpinnings of Connes’ argument based on Gödel’s incompleteness theorem, and detect an apparent circularity in Connes’ logic. We document the reliance on non-constructive foundational material, and specifically on the Dixmier trace − (featured on the front cover of Connes’ magnum opus) V. -
Abraham Robinson, 1918 - 1974
BULLETIN OF THE AMERICAN MATHEMATICAL SOCIETY Volume 83, Number 4, July 1977 ABRAHAM ROBINSON, 1918 - 1974 BY ANGUS J. MACINTYRE 1. Abraham Robinson died in New Haven on April 11, 1974, some six months after the diagnosis of an incurable cancer of the pancreas. In the fall of 1973 he was vigorously and enthusiastically involved at Yale in joint work with Peter Roquette on a new model-theoretic approach to diophantine problems. He finished a draft of this in November, shortly before he underwent surgery. He spoke of his satisfaction in having finished this work, and he bore with unforgettable dignity the loss of his strength and the fading of his bright plans. He was supported until the end by Reneé Robinson, who had shared with him since 1944 a life given to science and art. There is common consent that Robinson was one of the greatest of mathematical logicians, and Gödel has stressed that Robinson more than any other brought logic closer to mathematics as traditionally understood. His early work on metamathematics of algebra undoubtedly guided Ax and Kochen to the solution of the Artin Conjecture. One can reasonably hope that his memory will be further honored by future applications of his penetrating ideas. Robinson was a gentleman, unfailingly courteous, with inexhaustible enthu siasm. He took modest pleasure in his many honors. He was much respected for his willingness to listen, and for the sincerity of his advice. As far as I know, nothing in mathematics was alien to him. Certainly his work in logic reveals an amazing store of general mathematical knowledge. -
Exploring Euler's Foundations of Differential Calculus in Isabelle
Exploring Euler’s Foundations of Differential Calculus in Isabelle/HOL using Nonstandard Analysis Jessika Rockel I V N E R U S E I T H Y T O H F G E R D I N B U Master of Science Computer Science School of Informatics University of Edinburgh 2019 Abstract When Euler wrote his ‘Foundations of Differential Calculus’ [5], he did so without a concept of limits or a fixed notion of what constitutes a proof. Yet many of his results still hold up today, and he is often revered for his skillful handling of these matters despite the lack of a rigorous formal framework. Nowadays we not only have a stricter notion of proofs but we also have computer tools that can assist in formal proof development: Interactive theorem provers help users construct formal proofs interactively by verifying individual proof steps and pro- viding automation tools to help find the right rules to prove a given step. In this project we examine the section of Euler’s ‘Foundations of Differential Cal- culus’ dealing with the differentiation of logarithms [5, pp. 100-104]. We retrace his arguments in the interactive theorem prover Isabelle to verify his lines of argument and his conclusions and try to gain some insight into how he came up with them. We are mostly able to follow his general line of reasoning, and we identify a num- ber of hidden assumptions and skipped steps in his proofs. In one case where we cannot reproduce his proof directly we can still validate his conclusions, providing a proof that only uses methods that were available to Euler at the time. -
Fundamental Theorems in Mathematics
SOME FUNDAMENTAL THEOREMS IN MATHEMATICS OLIVER KNILL Abstract. An expository hitchhikers guide to some theorems in mathematics. Criteria for the current list of 243 theorems are whether the result can be formulated elegantly, whether it is beautiful or useful and whether it could serve as a guide [6] without leading to panic. The order is not a ranking but ordered along a time-line when things were writ- ten down. Since [556] stated “a mathematical theorem only becomes beautiful if presented as a crown jewel within a context" we try sometimes to give some context. Of course, any such list of theorems is a matter of personal preferences, taste and limitations. The num- ber of theorems is arbitrary, the initial obvious goal was 42 but that number got eventually surpassed as it is hard to stop, once started. As a compensation, there are 42 “tweetable" theorems with included proofs. More comments on the choice of the theorems is included in an epilogue. For literature on general mathematics, see [193, 189, 29, 235, 254, 619, 412, 138], for history [217, 625, 376, 73, 46, 208, 379, 365, 690, 113, 618, 79, 259, 341], for popular, beautiful or elegant things [12, 529, 201, 182, 17, 672, 673, 44, 204, 190, 245, 446, 616, 303, 201, 2, 127, 146, 128, 502, 261, 172]. For comprehensive overviews in large parts of math- ematics, [74, 165, 166, 51, 593] or predictions on developments [47]. For reflections about mathematics in general [145, 455, 45, 306, 439, 99, 561]. Encyclopedic source examples are [188, 705, 670, 102, 192, 152, 221, 191, 111, 635]. -
Infinitesimals
Infinitesimals: History & Application Joel A. Tropp Plan II Honors Program, WCH 4.104, The University of Texas at Austin, Austin, TX 78712 Abstract. An infinitesimal is a number whose magnitude ex- ceeds zero but somehow fails to exceed any finite, positive num- ber. Although logically problematic, infinitesimals are extremely appealing for investigating continuous phenomena. They were used extensively by mathematicians until the late 19th century, at which point they were purged because they lacked a rigorous founda- tion. In 1960, the logician Abraham Robinson revived them by constructing a number system, the hyperreals, which contains in- finitesimals and infinitely large quantities. This thesis introduces Nonstandard Analysis (NSA), the set of techniques which Robinson invented. It contains a rigorous de- velopment of the hyperreals and shows how they can be used to prove the fundamental theorems of real analysis in a direct, natural way. (Incredibly, a great deal of the presentation echoes the work of Leibniz, which was performed in the 17th century.) NSA has also extended mathematics in directions which exceed the scope of this thesis. These investigations may eventually result in fruitful discoveries. Contents Introduction: Why Infinitesimals? vi Chapter 1. Historical Background 1 1.1. Overview 1 1.2. Origins 1 1.3. Continuity 3 1.4. Eudoxus and Archimedes 5 1.5. Apply when Necessary 7 1.6. Banished 10 1.7. Regained 12 1.8. The Future 13 Chapter 2. Rigorous Infinitesimals 15 2.1. Developing Nonstandard Analysis 15 2.2. Direct Ultrapower Construction of ∗R 17 2.3. Principles of NSA 28 2.4. Working with Hyperreals 32 Chapter 3.