How Euler Did It. by Ed Sandifer. Foundations of Calculus. September 2006

Similar documents
How Euler Did It. Today we are fairly comfortable with the idea that some series just don t add up. For example, the series

How Euler Did It. Many people have been interested in summing powers of integers. Most readers of this column know, for example, that ( )

How Euler Did It. by Ed Sandifer. Partial fractions. June 2007

How Euler Did It. by Ed Sandifer. A theorem of Newton %! 3 =! 3 + " 3 + # 3 +!+ $ 3, %! =! + " + # +!+ $, ! 2 =! 2 + " 2 + # 2 +!

How Euler Did It. A Series of Trigonometric Powers. 1 x 2 +1 = 2. x 1, x ln x + 1 x 1.

How Euler Did It. Jeff Miller s excellent site [M] Earliest Known Uses of Some of the Words of Mathematics reports:

How Euler Did It. by Ed Sandifer. Inexplicable functions ( ) November 2007

Paper read at History of Science Society 2014 Annual Meeting, Chicago, Nov. 9,

Foundations of Calculus in the 1700 s. Ghosts of departed quantities

Beyond Newton and Leibniz: The Making of Modern Calculus. Anthony V. Piccolino, Ed. D. Palm Beach State College Palm Beach Gardens, Florida

O1 History of Mathematics Lecture VIII Establishing rigorous thinking in analysis. Monday 30th October 2017 (Week 4)

Intuitive infinitesimals in the calculus

How Euler Did It. by Ed Sandifer. The Euler line. January 2009

Direct Proofs. the product of two consecutive integers plus the larger of the two integers

MthEd/Math 300 Williams Fall 2011 Midterm Exam 3

Contents Part A Number Theory Highlights in the History of Number Theory: 1700 BC 2008

O1 History of Mathematics Lecture VI Successes of and difficulties with the calculus: the 18th-century beginnings of rigour

On the Interpolation of series *

Final Exam Extra Credit Opportunity

Euler s Rediscovery of e

Everything Old Is New Again: Connecting Calculus To Algebra Andrew Freda

On Maxima and Minima *

Foundations of Analysis. Joseph L. Taylor. University of Utah

Newton s Work on Infinite Series. Kelly Regan, Nayana Thimmiah, & Arnold Joseph Math 475: History of Mathematics

MATHE 4800C FOUNDATIONS OF ALGEBRA AND GEOMETRY CLASS NOTES FALL 2011

Properties of Arithmetic

Linear Algebra Fall mathx.kaist.ac.kr/~schoi/teaching.html.

REVIEW FOR TEST I OF CALCULUS I:

O1 History of Mathematics Lecture VIII Establishing rigorous thinking in analysis. Monday 31st October 2016 (Week 4)

In today s world, people with basic calculus knowledge take the subject for granted. As

#26: Number Theory, Part I: Divisibility

CHAPTER 2 INTRODUCTION TO CLASSICAL PROPOSITIONAL LOGIC

Leibniz and the Discovery of Calculus. The introduction of calculus to the world in the seventeenth century is often associated

30. TRANSFORMING TOOL #1 (the Addition Property of Equality)

Vector Spaces. Chapter 1

8. TRANSFORMING TOOL #1 (the Addition Property of Equality)

Beyond Whole Number Bases

MILLIS PUBLIC SCHOOLS

Does Really Equal 1?

A Natural Introduction to Probability Theory

MATHEMATICS BONUS FILES for faculty and students

35 Chapter CHAPTER 4: Mathematical Proof

Calculus at Rutgers. Course descriptions

Complex Numbers: A Brief Introduction. By: Neal Dempsey. History of Mathematics. Prof. Jennifer McCarthy. July 16, 2010

Sequences and infinite series

Phasor mathematics. Resources and methods for learning about these subjects (list a few here, in preparation for your research):

Hyperreals and a Brief Introduction to Non-Standard Analysis Math 336

CH 59 SQUARE ROOTS. Every positive number has two square roots. Ch 59 Square Roots. Introduction

Syllabus for BC Calculus

I. Content Standard: Number, Number Sense and Operations Standard

ESSENTIALS OF LEARNING. Math 7. Math A MATH B. Pre-Calculus. Math 12X. Visual Basic

THE MATHEMATICS OF EULER. Introduction: The Master of Us All. (Dunham, Euler the Master xv). This quote by twentieth-century mathematician André Weil

Why write proofs? Why not just test and repeat enough examples to confirm a theory?

Direct Proof and Counterexample I:Introduction

MAT 417, Fall 2017, CRN: 1766 Real Analysis: A First Course

Direct Proof and Counterexample I:Introduction. Copyright Cengage Learning. All rights reserved.

Mathematical Forms and Strategies

Rigorization of Calculus. 18 th Century Approaches,Cauchy, Weirstrass,

from Euclid to Einstein

Industrial revolution and reform of mathematics

The mighty zero. Abstract

Study skills for mathematicians

2 Systems of Linear Equations

Alfred North Whitehead (English Mathematician and Philosopher; )

Introducing Proof 1. hsn.uk.net. Contents

Grade 8 Chapter 7: Rational and Irrational Numbers

Mathematics for Health and Physical Sciences

Introduction to Real Analysis MATH 2001

What s the Average? Stu Schwartz

Logarithms for analog circuits

Logarithms for analog circuits

On the general Term of hypergeometric Series *

Geometry, Physics, and Harmonic Functions

Lecture 2: What is Proof?

Lecture 5. Zeno s Four Paradoxes of Motion

MTH 05. Basic Concepts of Mathematics I

The roots of computability theory. September 5, 2016

Shi Feng Sheng Danny Wong

Real Analysis. a short presentation on what and why

MIDLAND ISD ADVANCED PLACEMENT CURRICULUM STANDARDS AP CALCULUS BC

Integration Using Tables and Summary of Techniques

Learning Challenges and Teaching Strategies for Series in Calculus. Robert Cappetta, Ph.D. Professor of Mathematics College of DuPage

B Elements of Complex Analysis

Infinity. Newton, Leibniz & the Calculus

MATH10040: Chapter 0 Mathematics, Logic and Reasoning

MITOCW ocw-18_02-f07-lec02_220k

Precalculus Graphical, Numerical, Algebraic Media Update 7th Edition 2010, (Demana, et al)

An observation on the sums of divisors

Chapter Three. Deciphering the Code. Understanding Notation

The Limit of Humanly Knowable Mathematical Truth

Zentrum für Technomathematik Fachbereich 3 Mathematik und Informatik. R, dx and ε. Derivatives and Infinitesimal Numbers

Sequences and Series

1). To introduce and define the subject of mechanics. 2). To introduce Newton's Laws, and to understand the significance of these laws.

NUMBERS It s the numbers that count

Maple in Calculus. by Harald Pleym. Maple Worksheets Supplementing. Edwards and Penney. CALCULUS 6th Edition Early Transcendentals - Matrix Version

An analogy from Calculus: limits

INFINITE SUMS. In this chapter, let s take that power to infinity! And it will be equally natural and straightforward.

Supplement for MAA 3200, Prof S Hudson, Fall 2018 Constructing Number Systems

5.4 Continuity: Preliminary Notions

Free Pre-Algebra Lesson 15! page 1

Transcription:

How Euler Did It Foundations of Calculus September 2006 by Ed Sandifer As we begin a new academic year, many of us are introducing another generation of students to the magic of calculus. As always, those of us who teach calculus are asking ourselves again, What is the best way to begin calculus? More specifically, How do we start to teach students what a derivative is? Some of us will start with slopes and others choose limits. Among those who begin with limits, some will use epsilons and deltas and others will use a more intuitive approach to the algebra of limits. A few might use non-standard analysis, as rigorously presented in the wonderful book [K] by Jerome Kiesler. Newton began with fluxions, while Leibniz used differentials and a differential triangle. Regular readers of this column, though, know to ask How did Euler do it? Almost as soon as it was invented (or, if you prefer, discovered) people began arguing about its foundations. Leibniz looked for an algebraic basis for calculus, while Newton argued in favor of geometric foundations. The controversy continued for more than a hundred years, with key contributions from Berkeley and Lagrange, until most of the issues were finally resolved in the time of Cauchy, Riemann and Weierstrass. Euler published his differential calculus book, Institutiones calculi differentialis, [E212], in 1755. The book has two parts. Euler describes the first part, nine chapters, 278 pages in the original, as containing a complete explanation of this calculus. John Blanton translated this part of the book into English in 2000, and most of the quotations used in this column are from John Blanton s edition. The second part of the book, 18 chapters, 602 pages, contains the use of this calculus in finite analysis and in the doctrine of series. A translation of this part of the book has not yet been published, though there are rumors that people are working on it. When Euler sat down to write the Calculus differentialis, as it is commonly called, he had to decide how to explain the foundations of calculus and the reasons calculus works. In his preface he writes (in John Blanton s translation, p. vii.): 1

[D]ifferential calculus is a method for determining the ratio of the vanishing increments that any functions take on when the variable, of which they are functions, is given a vanishing increment. This echoes with Newtonian sentiments. Vanishing increments sound like Newton s evanescent quantities, and are open to Berkeley s sarcastic barbs, calling derivatives ghosts of departed quantities. Euler, who learned his calculus from Johann Bernoulli, a follower of Leibniz, understands these criticisms, and in the very next paragraph he writes [D]ifferential calculus is concerned not so much with vanishing increments, which indeed are nothing, but with the ratio and mutual proportion. Since these ratios are expressed as finite quantities, we must think of calculus as being concerned with finite quantities. Later (p. viii.) he writes To many who have discussed the rules of differential calculus, it has seemed that there is a distinction between absolutely nothing and a special order of quantities infinitely small, which do not quite vanish completely but retain a certain quantity that is indeed less than any assignable quantity. Euler seems to want it both ways. He wants to use infinite numbers, usually denoted i or n, as well as infinitesimals (he calls them infinitely small, ) usually denoted ω. He wants to take their ratios, add, subtract and multiply them as if they matter, and then throw them away when it suits his purposes. It is exactly the behavior that Berkeley was trying to discourage and that Cauchy and Weierstrass eventually repaired. Now that we ve seen these philosophical underpinnings, let s look at how Euler teaches us calculus. Euler s Chapter 1 is On finite differences (De differentiis finites.) Euler gives us a variable quantity x, and an increment ω. For now, ω is assumed to be finite. He asks how substituting x + ω for x in a function transforms that function, and gives us the example a+ x a + x 2 2 a+ x+ ω is transformed into 2 2 2 a + x + 2xω+ ω. The value x and its increment ω give an arithmetic sequence, x, x + ω, x+ 2ω, x + 3ω, etc., and these, in turn, transform a function y into a sequence of values that he denotes y, y I, y II, y III, etc. 2

With this notation in place, he is ready to describe the first, and higher differences of the function. This is apparently the first time the symbol for this purpose. The image below, from The Euler Archive, shows Euler s definition of the higher differences: Next we get some of the elementary properties of higher differences, starting with their values in terms of the values of y. II I y= y 2 y + y y = y 2 y + y I III II I 3 III II I = + y y 3y 3 y y. and so on up to 5 th differences. He follows these with rules for sums and products: If y= p+ q then y = p + q, and If y = pq then y = p q+ q p. By the end of this 24-page chapter, Euler has taught us to find differences of sums, products and radicals involving polynomials, sines, cosines, logarithms and radicals, as well as inverse differences, finding a function that has a given first difference. In Chapter 2 Euler uses differences to study what he calls series. We would call them sequences. Probably his most interesting result in the chapter is the discrete Taylor series. I II Consider a sequence aa,, a, etc., with indices 1, 2, 3, 4, etc. Let the first, second, third, etc. differences be b, c, d, etc. Then the general term of index x is given by 3

( x 1) ( x 1)( x 2) ( x 1)( x 2)( x 3) a+ b+ c+ d+ etc. 1 12 123 Euler s chapter 3, On the Infinite and the Infinitely Small, he returns to the philosophical underpinnings of calculus. The chapter is 30 pages long, and is mostly a fascinating philosophy-laced essay on the nature of infinites and infinitesimals in the real world. In the 18 th century, real numbers were not the free-standing axiomatized objects they became late in the 19 th century (thanks to Dedekind and his cuts). The properties of the real numbers were expected to reflect the properties of the real world they describe. Hence, the debate between Newton and Leibniz about whether real world objects are infinitely and continuously divisible (Newton), or composed of indivisible ultimate particles (that Leibniz called monads) was also a dispute over the nature of the real numbers. That, in turn, became a dispute about the nature and foundations of calculus. Though their public argument was mostly about who first discovered calculus, each also believed that the other s version of calculus was based on false foundations. After careful consideration, Euler eventually sides mostly with Newton and accepts the reality of the infinite and infinitely small. The difficult part of this is that, if dx is an infinitely small quantity, then Since the symbol stands for an infinitely large quantity, we have the equation a. dx = The truth of this is clear also when we invert: a = dx = 0. So, Euler is stuck with the paradox that the quantity dx is, in some sense, both zero and not zero. He cannot resolve this paradox, so he has to figure out a way to avoid it. To do this, he begins to use his results on differences from the first two chapters. When he takes a sequence with an infinitely small quantity dx as its difference, then considers second 2 differences, he is forced to conclude that a/ dx is a quantity infinitely greater than a/ dx, and similarly for higher differences. We have, therefore, an infinity of grades of infinity, of which each is infinitely greater than its predecessor. Essentially, he introduces some rules for the use of infinite and infinitesimal quantities, roughly equivalent to our techniques for manipulating limits. A quantity like a/ dx: A/ dx, where a and A are finite quantities (i.e., neither infinite nor infinitesimal) should not be resolved by first dividing by dx, for that leads to /. This cannot be evaluated because, as he noted above, there are many different sizes of infinity, and this expression doesn t tell us which size we have. Instead, the quantity a/ dx: A/ dx should first be reduced to a/a, a ratio of finite quantities. 4

Euler tells us that also it is possible not only for the product of an infinitely large quantity and an infinitely small quantity to produce a finite quantity, but also that a product of this kind can also be either infinitely large or infinitely small. The last part of chapter 3 deals with issues of convergence. It could be the basis of some future column. Now that Euler believes he has convinced us of the logical integrity of his foundations, he returns to his calculations with series and differences. He reminds us that, given a variable x, a quantity y that depends on x, and an increment x = ω, then y has a difference of the form I 2 3 4 y= y y = Pω + Qω + Rω + Sω + etc. Taking ω = dx, we get that dy=pdx, or, as we would write it today, dy P dx =. Note that Euler and his contemporaries did calculus with differentials, dy and dx, and not with derivatives, dy. Euler explains how the higher coefficients, Q, R, S, etc., are related to higher differences, dx and he s ready to go with the rules of calculus. Before he goes, though, he makes a remark to appease his Leibnizian friends by criticizing Newton s fluxion notation. Newton would write ẏ, ẏ or ẏ where Euler would write 2 3 P, Q or R, or maybe dy, d y or d y. Euler writes that Newton s notation cannot be criticized if the number of dots is small On the other hand, if many dots are required, much confusion and even more inconvenience may be the result. As an example, he gives (and here, for the first time, we don t follow Blanton s translation) The tenth fluxion, though would be very inconveniently represented by ẏ, and our notation of 10 d y is much easier to understand. With this, Euler sets out to give the usual rules of differential calculus, of course using differentials instead of derivatives and, in part one, omitting all applications. This column is about Euler s foundations of calculus, so we will leave out most of the content, for now. One of Euler s examples, though, is particularly elegant, from chapter 6, On the Differentiation of Transcendental Functions: If e x e y = e, then x e x dy = e e e e x dx. It is visually striking if you write it on a blackboard and use a longer string of e s. Euler is sometimes criticized by modern mathematicians for what seems like a reckless use of infinite and infinitesimal numbers in his calculations, and for ignoring the foundations of calculus. What he writes in the Calculus differentialis, though, makes it clear that he was very 5

aware of the issues involved, and that he tried hard to resolve them. In fact, he himself believed that he had indeed put calculus on a solid philosophical foundation. Two generations after Euler, though, the way we build the foundations of mathematics changed, and a philosophical basis was no longer accepted. The age of Cauchy and Weierstrass sought less geometric and more axiomatic foundations, and Euler s approach was discarded as insufficiently rigorous. In the 20 th century, though, Abraham Robinson developed non-standard analysis, and showed how Euler s techniques could be made rigorous. Jerome Keisler, [K] in turn, used Robinson s constructions to write a modern calculus text. It took 220 years, but Euler s Calculus differentialis was eventually shown to have rigorous foundations. Now, if we want to, we can do the way Euler did it. References: [E212] [K] Euler, Leonhard, Insitutiones calculi differentialis cum ejus usu in analysi finitorum ac doctrina serierum, St. Petersburg, 1755. Reprinted in Opera Omnia, Series I vol 10. English translation of chapters 1 to 9 by John Blanton, Springer, New York, 2000. Original is available online through The Euler Archive at EulerArchive.org. Keisler, H. Jerome, Elementary Calculus, Prindle, Weber & Schmidt, Boston, 1976. The entire book is available (Free! under a Creative Commons License) at www.math.wisc.edu/~keisler/calc.html. Ed Sandifer (SandiferE@wcsu.edu) is Professor of Mathematics at Western Connecticut State University in Danbury, CT. He is an avid marathon runner, with 34 Boston Marathons on his shoes, and he is Secretary of The Euler Society (www.eulersociety.org). His new book, The Early Mathematics of Leonhard Euler, will be published by the MAA in December, 2006, in advance of the celebrations of Euler s tercentennial in 2007. How Euler Did It is updated each month. Copyright 2006 Ed Sandifer 6