Sir Isaac Newton: The Man, the Method, the Madness Paper 4 History of Mathematics December 5, 2002 Problem 11.9 Abstract Isaac Newton is one of our leading mathematicians and scientists of all time. This paper will take you through his childhood, schooling, and professions. It will delve into the controversy over the discovery of calculus and you will learn of his disdain of conflict. The math portion will focus on Newton’s method of approximation, its importance, and how it is used. Any mathematician, when asked to name history’s three or four most influential mathematicians of all time, would probably include Isaac Newton among the elite. What makes this fact so rare is that any physicist, when asked to name history’s top physicists of all time, would most likely identify Newton as one of their choices as well. Isaac Newton was born prematurely in Woolsthorpe, England, on Christmas day in 1642 and given little chance of survival. His illiterate father was a farmer and had died the October before Isaac was born. Despite the complications of his birth, a harsh winter, and only a mother to care for the delicate newborn, Newton would live to the impressive age of 84 (Dunham Journey 160). When Isaac was three, his mother, Hannah Ayscough Newton, remarried a 63-year-old reverend, Barnabas Smith, who wanted a young wife but could not handle a three-year-old child. Therefore, Newton’s mother moved in with her new husband and left Isaac behind to be raised by his grandmother. “All Newton’s recent biographers have seen this separation from his mother between the ages of three and ten, as crucial in helping to form the suspicious, neurotic, tortured personality of the adult Isaac Newton” (Fauvel et al. 11). Newton attended local schools until the age of twelve, when he moved to the town of Grantham where he lived with the local apothecary while he attended grammar school where the studies were heavily focused on the learning of Latin and Greek. Outside of school Newton mainly kept to himself, did not have many friends, and spent most of his time constructing clever mechanical models and conducting experiments. He built a small working windmill driven by a mouse on a treadmill, made sundials and put them all over his quarters, and made a wooden clock that worked by water (Eves 397). By this time, after living with the apothecary for four years, he had returned back home to help his now twice widowed mother to manage the farm (his originally planned profession). Realizing Newton’s gifts and his dislike of farming, his uncle, William Ayscough, and former schoolmaster at Grantham, Henry Stokes, convinced Newton’s mother to send him back to Grantham to prepare him for Cambridge. Stokes taught Newton out of a mathematical textbook that contained arithmetic through the extraction of cube roots, surveying, elementary mensuration, plane trigonometry, and elaborate geometric constructions. This went far beyond anything taught in any of the universities of the period and as a result Newton matriculated into Trinity college, the foremost college at Cambridge in the summer of 1661 with a superior knowledge of mathematics (Swetz 483-4). The professors at Cambridge were fairly indifferent to teaching, so Newton was free to follow his own interests. He turned away from the Greek and Latin that characterized the official curriculum of the times and turned toward the exciting mathematical and scientific advances of the age (Dunham Mathematical 130). Newton found a book on astrology at a fair, and then as a result read Euclid’s Elements, which he found too obvious, and then read Descartes’ La Geometrie, which he found somewhat difficult. He also read works by Oughtred, Kepler, Viete, and Wallis. By reading mathematics Newton began doing his own mathematical research and would make an early discovery of the generalized binomial theorem and creation of his method of fluxions, or differential calculus (Eves 397-8). Newton’s work continued during the 1665-7 hiatus when Cambridge was shut down twice from outbreaks of the plague. During this time he went back to his family home in Woolsthorpe where and when he had his famous encounter with the apple. According to legend, as he rested under a tree he was nearly hit by the falling fruit. He questioned that if the Earth tugged upon an apple, “did it not also tug upon more distant celestial bodies?” He remarked, “I began to think of gravity extending to ye orb of the moon,” which is a pretty concise introduction to universal gravitation (Dunham Mathematical 130). When the plague subsided, Newton returned to Trinity College where he became Minor Fellow in 1667 and a Major Fellow in 1668. In October of 1669, at the age of 26, he became the second Lucasian Chair of Mathematics at Cambridge. This post gave him security, intellectual independence, and a good salary. Even though the position had been designed as a teaching post, the previous chair had already turned the position into a sinecure and Newton did not work any harder at the teaching aspects. He made only 3-10 lectures per year for the first seventeen years to very few people and none after (Swetz 485). His first lectures on optics were later written in a paper to the Royal Society and were attacked by some scientists. Newton regarded the resulting arguments as so distasteful that he vowed never to publish anything on science again. This dislike of controversy, which bordered on the pathological, would lead to disputes of discovery later, especially with Leibniz concerning calculus (Eves 398). In 1687, Newton had a huge public breakthrough under the pressure of Edmund Halley, who would later become famous for the comet that bears his name. Newton agreed to publish his Principia Mathematica, which entailed Newtonian mechanics in a precise, careful, and mathematical fashion. He introduced the laws of motion and the principles of universal gravitation, and mathematically deduced everything from tidal flows to planetary orbits. It was and still is regarded by many as the greatest scientific book ever written. This triumph catapulted Newton into the scientific limelight and he became a living symbol of the “new science”. Voltaire regarded Newton as the greatest man that ever lived and said that a genius of this proportion only comes along once in a thousand years (Fauvel et al. 185). After his emergence from obscurity, Newton’s life took a dramatic change. In 1689 he served as a representative for Cambridge in Parliament. Newton suffered a nervous breakdown in 1693, which some attributed to his common practice of tasting the chemical compounds he used in the alchemy experiments he often tried to do. He resigned the Lucasian chair in 1695 and left Trinity College for London where he became warden of the Mint in 1696. In 1703 he was elected President of the Royal Society, published The Optics in 1704, and on April 16, 1705 had the highest honor of being knighted by Queen Anne of England. Sir Isaac Newton died on March 20, 1727 after being ill with gout and inflamed lungs. He was buried along with the Kings and military heroes in Westminster Abbey. Today his statue stands at the left hand portal of the Abbey’s great choir screen and is visible to all who enter (Dunham Journey 182). At the time of his death, Sir Isaac Newton was a revered scientist and mathematician, a wealthy government servant, and an English hero for his most heroic discovery dating back to the mid-1660s when he would work late into the night with feverish excitement. It is said that his cat grew fat from eating Newton’s untouched dinners; but the missed meals and lost sleep resulted in his great “method of fluxions” (Differential Calculus) and his “inverse method of fluxions” (Integral Calculus) as well as his groundbreaking theory of colors. Since Newton did not publish his “fluxions” however it bears Leibniz’s name of “calculus”. Explanations as to why Newton hated publication always came back to his personality: his distrust of others, his dislike of criticism, and his strong desire to decline being a part of being involved in “troublesome and insignificant disputes” (Westfall 270). Newton often got into embroiled priority controversies with other scientists and countrymen but his most famous dispute was the one with Leibniz over the creation of calculus. The facts are: 1. Newton had discovered his method of fluxions by the mid-1660s. He described it in a 1669 manuscript known as De analysi and an expanded 1671 treatise called De methodis fluxionum. These circulated among a select group of British mathematicians but were not published and hence not widely known. Those who read them instantly recognized Newton’s power, and one described him as “very young…but of an extraordinary genius and proficiency.” 2. During the mid-1670s, a full decade later, Leibniz made virtually the same discoveries. While on a diplomatic mission to London in 1676, Leibniz saw a manuscript copy of Newton’s De analysi. 3. At about the same time, Leibniz received two letters from Isaac-what have come to be called the epistola prior and the epistola posterior-revealing some of Newton’s thoughts about infinite series and, much less explicitly, about fluxions. 4. In 1684 Leibniz published the first paper on differential calculus. Nowhere in it did he mention that he had seen manuscripts or exchanged letters with Newton eight years earlier. In fact, nowhere did he mention Newton at all. (Dunham Mathematical 133). It seems that both men discovered calculus independent of each other, and because of Newton’s secretiveness and not being willing to publish, it was Leibniz’s 1684 paper that would make the principles of calculus known to the public. Had Newton published his findings back in the 1660s, he would have gotten full credit for it. Newton does get credit and is solely famous for creating a way of approximating solutions of equations known as Newton’s Method. The method we use today is not precisely the one first discovered by Newton in the 1660’s, it was modified by Joseph Raphson in 1690 and then later in 1740 by Thomas Simpson, however, the essential idea will always be credited to Newton. The question raised by Newton was what does a mathematician do when confronted with an unsolvable problem such as x7 –6x5 +4x4 +x3 –17 = 0? He found that if an exact answer was not available, you could approximate one. After all, an accurate solution to ten decimal places would suffice for any need, especially if the technique was fairly simple, theoretical, and could be used repeatedly to get even more accurate estimates. These are the basic properties of Newton’s method. To understand the method, first consider the graph of y=f(x) in figure A. Solving for f(x)=0 will give us the x-intercept of the function labeled C in the figure. If we can approximate C, then we will have solved the equation f(x)=0, at least approximately (Dunham 136). C Figure A Newton’s method requires that we begin with a guess of the solution. In figure A, we designate X n-1 as our first guess. In essence, we are saying X n-1 C, the actual solution. Starting at X n-1 on the horizontal axis we see the corresponding point on the curve y=f(x) is (X n-1, f(X n-1)). At this point, draw the tangent to the curve. Recall that the slope of the tangent is the derivative of the function X=X n-1. Symbolically, the slope of the tangent is f’(X n-1). Ideally we would descend along f(x) until we arrive at our exact value at C, but since the exact solution is unknown, we instead begin at point (X n-1, f(X n-1) and move down our tangent line. The point Xn where the tangent line intersects the x-axis, although not exactly at point C, is at least a closer approximation to C than our initial guess was. This is the geometric representation of Newton’s method. To determine the approximation algebraically we consider the slope of the tangent from two different points and equate the results. As noted before, the slope of the tangent line is given by the derivative f’(X n-1). The slope of any line is found by the expression Slope = y 2 y1 x2 x1 As indicated by the diagram, the tangent goes through points (X (Xn,0). Therefore the slope is n-1, f(X n-1)) and 0 f (X n -1) f (X n -1) X n X n1 X n X n -1 Equating these two expressions for slope, we solve for Xn f (X n -1) X n X n -1 f (X n -1) Xn- Xn-1= f ' ( X n1 ) f (X n -1) Xn=Xn-1 f ' ( X n1 ) In a case where Xn is not accurate enough, we simply apply the whole argument f’(X n-1) = again, only this time we would start with Xn so f (X n ) f '(X n ) This is our general formula for Newton’s Method (Dunham 138). Xn+1=Xn Solve the cubic x3 –2x –5 =0 by Newton’s method for the root lying between 2 and 3 (Problem 11.9b) f(x) = x3-2x-5 Xn+1=Xn =Xn f’(x)= 3x2-2 f (X n ) f '(X n ) ( X n ) 3 2( X n ) 5 3( X n ) 2 2 ( X 0 ) 3 2( X 0 ) 5 (2) 3 2(2) 5 X1 =X0 =2 3( X 0 ) 2 2 3(2) 2 2 X0=2 =2 X1=2.1 =2.1 1 10 X3=2.094551361 .061 11.23 =2.094568 X4=2.094551482 X3 =2.094568- X2=2.094568 X2 =2.1- X5=2.094551482 X4 .000185723 11.16164684 =2.094551361 .000001345426 =2.09455136111.16142364 =2.094551482 X5 =2.094551482=2.094551482 5.1083 10 9 11.16143773 Solve by Newton’s Method the equation x=tanx for the root lying between 4.4 and 4.5 (Problem 11.9c) f(x)=tanx f’(x)=sec2x X0=4.4 X1 X0=4.4 X1=4.107541404 X2 X2=3.639787234 X3=3.220029955 X3 X4=3.141913977 X5=3.141592654 f (X n ) f '(X n ) tan( X n ) = Xnsec 2 ( X n ) tan( X 0 ) = X0sec 2 ( X 0 ) tan( 4.4) = 4.4sec 2 ( 4.4) 3.096323781 = 4.410.58722095 =4.107541404 1.446598116 =4.1075414043.092646112 =3.639787234 .5439605563 =3.6397872341.295893087 =3.220029955 .0785985576 =3.2200299551.006177733 =3.141913977 .0003213234761 =3.1419139771.000000103 =3.141592654 3.27 10 11 =3.1415926541 =3.141592654 Xn+1=Xn- X4 X6=3.141592654 X5 X6 Find 12 by Newton’s Method (Problem 11.9d) Xn+1 12 f(X)=X2-12 f’(X)=2X X1 X0=3 X1=3.5 X2 X2=3.464285714 X3=3.46410162 X3 X4=3.464101615 =Xn- f (X n ) f '(X n ) =Xn- ( X n ) 2 12 2( X n ) =X0- ( X 0 ) 2 12 2( X 0 ) 32 12 = 32(3) 3 = 4.46 =3.5 .25 =3.5 7 =3.464285714 =3. 464285714- .0012755102 6.928571428 =3.46410162 X5=3.464101615 X4 X6=3.464101615 X5 3.1915 10 8 6.92820324 =3.464101615 9.54 10 10 =3.4641016156.92820323 =3. 464101615 =3.46410162- A special case of Newton’s Method is Heron’s Method, which is one of the earliest methods of approximating square roots, and also one of the fastest. It works by finding n for any positive n (problem 11.9e). Heron’s Method states: Let n and be positive numbers, let d be a non-negative integer and set h()=h(+ (1) n ). Then: n is between and n (2) If > 0, then h() n 1 ( n ) 2 (3) h( ) n 2 1 n 1 (4) If n < 2 , then h( ) n <min( 2 d , ) 2 10 10 (5) (Brown 3-4) What (4) means is that if approximates h(d) approximates n to d decimal places, then n to 2d decimals. That is, each time you apply Heron’s Method, you double the number of digits of accuracy. This method, as stated before, is just a special case of Newton’s Method. If we let Xn+1=N() and Xn= then Newton’s method becomes N(_=- f (X n ) . If f(x)=x2 –n. Then f’(x)=2x f '(X n ) and N ( ) f (d ) n 1 n ( ) f ' (d ) 2 2 2 Which is Heron’s approximation. (Problem 11.9f) Today, numerical analysis is a very useful branch of mathematics that studies the finer points of approximation procedures. Although the subject has become very subtle and deep, its focus and trademark has always been and will be Newton’s method. Its one of mathematics great theorems and differential calculus’ most far-reaching applications. Work Cited Brown, Ezra. Square Roots From 1; 24, 51, 10 to Dan Shanks. 13 Nov 2002 <http://www.math.vt.edu/people/brown/doc/sqrts.pdf>. Dunham, William. Journey Through Genius: The Great Theorems of Mathematics. New York: Penguin Group, 1990. Dunham, William. The Mathematical Universe: An Alphabetical Journey Through the Great Proofs, Problems, and Personalities. New York: John Wiley & Sons, Inc, 1994. Eves, Howard. An Introduction To the History of Mathematics. Fort Worth: Saunders College Publishing, 1990. Fauvel, John, Raymond Flood, Michael Shortland, and Robin Wilson. Let Newton Be. New York: Oxford University Press, 1988. Swetz, Frank. From Five Fingers to Infinity: A Journey Through the History of Mathematics. Illinois: Open Court, 1994. Westfall, R.S. Never At Rest. New York: Cambridge University Press, 1980.