The Discovery of the Series Formula for Π by Leibniz, Gregory and Nilakantha Author(S): Ranjan Roy Source: Mathematics Magazine, Vol
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Topic 7 Notes 7 Taylor and Laurent Series
Topic 7 Notes Jeremy Orloff 7 Taylor and Laurent series 7.1 Introduction We originally defined an analytic function as one where the derivative, defined as a limit of ratios, existed. We went on to prove Cauchy's theorem and Cauchy's integral formula. These revealed some deep properties of analytic functions, e.g. the existence of derivatives of all orders. Our goal in this topic is to express analytic functions as infinite power series. This will lead us to Taylor series. When a complex function has an isolated singularity at a point we will replace Taylor series by Laurent series. Not surprisingly we will derive these series from Cauchy's integral formula. Although we come to power series representations after exploring other properties of analytic functions, they will be one of our main tools in understanding and computing with analytic functions. 7.2 Geometric series Having a detailed understanding of geometric series will enable us to use Cauchy's integral formula to understand power series representations of analytic functions. We start with the definition: Definition. A finite geometric series has one of the following (all equivalent) forms. 2 3 n Sn = a(1 + r + r + r + ::: + r ) = a + ar + ar2 + ar3 + ::: + arn n X = arj j=0 n X = a rj j=0 The number r is called the ratio of the geometric series because it is the ratio of consecutive terms of the series. Theorem. The sum of a finite geometric series is given by a(1 − rn+1) S = a(1 + r + r2 + r3 + ::: + rn) = : (1) n 1 − r Proof. -
An Appreciation of Euler's Formula
Rose-Hulman Undergraduate Mathematics Journal Volume 18 Issue 1 Article 17 An Appreciation of Euler's Formula Caleb Larson North Dakota State University Follow this and additional works at: https://scholar.rose-hulman.edu/rhumj Recommended Citation Larson, Caleb (2017) "An Appreciation of Euler's Formula," Rose-Hulman Undergraduate Mathematics Journal: Vol. 18 : Iss. 1 , Article 17. Available at: https://scholar.rose-hulman.edu/rhumj/vol18/iss1/17 Rose- Hulman Undergraduate Mathematics Journal an appreciation of euler's formula Caleb Larson a Volume 18, No. 1, Spring 2017 Sponsored by Rose-Hulman Institute of Technology Department of Mathematics Terre Haute, IN 47803 [email protected] a scholar.rose-hulman.edu/rhumj North Dakota State University Rose-Hulman Undergraduate Mathematics Journal Volume 18, No. 1, Spring 2017 an appreciation of euler's formula Caleb Larson Abstract. For many mathematicians, a certain characteristic about an area of mathematics will lure him/her to study that area further. That characteristic might be an interesting conclusion, an intricate implication, or an appreciation of the impact that the area has upon mathematics. The particular area that we will be exploring is Euler's Formula, eix = cos x + i sin x, and as a result, Euler's Identity, eiπ + 1 = 0. Throughout this paper, we will develop an appreciation for Euler's Formula as it combines the seemingly unrelated exponential functions, imaginary numbers, and trigonometric functions into a single formula. To appreciate and further understand Euler's Formula, we will give attention to the individual aspects of the formula, and develop the necessary tools to prove it. -
Newton and Leibniz: the Development of Calculus Isaac Newton (1642-1727)
Newton and Leibniz: The development of calculus Isaac Newton (1642-1727) Isaac Newton was born on Christmas day in 1642, the same year that Galileo died. This coincidence seemed to be symbolic and in many ways, Newton developed both mathematics and physics from where Galileo had left off. A few months before his birth, his father died and his mother had remarried and Isaac was raised by his grandmother. His uncle recognized Newton’s mathematical abilities and suggested he enroll in Trinity College in Cambridge. Newton at Trinity College At Trinity, Newton keenly studied Euclid, Descartes, Kepler, Galileo, Viete and Wallis. He wrote later to Robert Hooke, “If I have seen farther, it is because I have stood on the shoulders of giants.” Shortly after he received his Bachelor’s degree in 1665, Cambridge University was closed due to the bubonic plague and so he went to his grandmother’s house where he dived deep into his mathematics and physics without interruption. During this time, he made four major discoveries: (a) the binomial theorem; (b) calculus ; (c) the law of universal gravitation and (d) the nature of light. The binomial theorem, as we discussed, was of course known to the Chinese, the Indians, and was re-discovered by Blaise Pascal. But Newton’s innovation is to discuss it for fractional powers. The binomial theorem Newton’s notation in many places is a bit clumsy and he would write his version of the binomial theorem as: In modern notation, the left hand side is (P+PQ)m/n and the first term on the right hand side is Pm/n and the other terms are: The binomial theorem as a Taylor series What we see here is the Taylor series expansion of the function (1+Q)m/n. -
Formal Power Series - Wikipedia, the Free Encyclopedia
Formal power series - Wikipedia, the free encyclopedia http://en.wikipedia.org/wiki/Formal_power_series Formal power series From Wikipedia, the free encyclopedia In mathematics, formal power series are a generalization of polynomials as formal objects, where the number of terms is allowed to be infinite; this implies giving up the possibility to substitute arbitrary values for indeterminates. This perspective contrasts with that of power series, whose variables designate numerical values, and which series therefore only have a definite value if convergence can be established. Formal power series are often used merely to represent the whole collection of their coefficients. In combinatorics, they provide representations of numerical sequences and of multisets, and for instance allow giving concise expressions for recursively defined sequences regardless of whether the recursion can be explicitly solved; this is known as the method of generating functions. Contents 1 Introduction 2 The ring of formal power series 2.1 Definition of the formal power series ring 2.1.1 Ring structure 2.1.2 Topological structure 2.1.3 Alternative topologies 2.2 Universal property 3 Operations on formal power series 3.1 Multiplying series 3.2 Power series raised to powers 3.3 Inverting series 3.4 Dividing series 3.5 Extracting coefficients 3.6 Composition of series 3.6.1 Example 3.7 Composition inverse 3.8 Formal differentiation of series 4 Properties 4.1 Algebraic properties of the formal power series ring 4.2 Topological properties of the formal power series -
Mathematics (MATH)
Course Descriptions MATH 1080 QL MATH 1210 QL Mathematics (MATH) Precalculus Calculus I 5 5 MATH 100R * Prerequisite(s): Within the past two years, * Prerequisite(s): One of the following within Math Leap one of the following: MAT 1000 or MAT 1010 the past two years: (MATH 1050 or MATH 1 with a grade of B or better or an appropriate 1055) and MATH 1060, each with a grade of Is part of UVU’s math placement process; for math placement score. C or higher; OR MATH 1080 with a grade of C students who desire to review math topics Is an accelerated version of MATH 1050 or higher; OR appropriate placement by math in order to improve placement level before and MATH 1060. Includes functions and placement test. beginning a math course. Addresses unique their graphs including polynomial, rational, Covers limits, continuity, differentiation, strengths and weaknesses of students, by exponential, logarithmic, trigonometric, and applications of differentiation, integration, providing group problem solving activities along inverse trigonometric functions. Covers and applications of integration, including with an individual assessment and study inequalities, systems of linear and derivatives and integrals of polynomial plan for mastering target material. Requires nonlinear equations, matrices, determinants, functions, rational functions, exponential mandatory class attendance and a minimum arithmetic and geometric sequences, the functions, logarithmic functions, trigonometric number of hours per week logged into a Binomial Theorem, the unit circle, right functions, inverse trigonometric functions, and preparation module, with progress monitored triangle trigonometry, trigonometric equations, hyperbolic functions. Is a prerequisite for by a mentor. May be repeated for a maximum trigonometric identities, the Law of Sines, the calculus-based sciences. -
1. More Examples Example 1. Find the Slope of the Tangent Line at (3,9)
1. More examples Example 1. Find the slope of the tangent line at (3; 9) to the curve y = x2. P = (3; 9). So Q = (3 + ∆x; 9 + ∆y). 9 + ∆y = (3 + ∆x)2 = (9 + 6∆x + (∆x)2. Thus, we have ∆y = 6 + ∆x. ∆x If we let ∆ go to zero, we get ∆y lim = 6 + 0 = 6. ∆x→0 ∆x Thus, the slope of the tangent line at (3; 9) is 6. Let's consider a more abstract example. Example 2. Find the slope of the tangent line at an arbitrary point P = (x; y) on the curve y = x2. Again, P = (x; y), and Q = (x + ∆x; y + ∆y), where y + ∆y = (x + ∆x)2 = x2 + 2x∆x + (∆x)2. So we get, ∆y = 2x + ∆x. ∆x Letting ∆x go to zero, we get ∆y lim = 2x + 0 = 2x. ∆x→0 ∆x Thus, the slope of the tangent line at an arbitrary point (x; y) is 2x. Example 3. Find the slope of the tangent line at an arbitrary point P = (x; y) on the curve y = ax3, where a is a real number. Q = (x + ∆x; y + ∆y). We get, 1 2 y + ∆y = a(x + ∆x)3 = a(x3 + 3x2∆x + 3x(∆x)2 + (∆x)3). After simplifying we have, ∆y = 3ax2 + 3xa∆x + a(∆x)2. ∆x Letting ∆x go to 0 we conclude, ∆y 2 2 mP = lim = 3ax + 0 + 0 = 3ax . x→0 ∆x 2 Thus, the slope of the tangent line at a point (x; y) is mP = 3ax . Example 4. -
AN INTRODUCTION to POWER SERIES a Finite Sum of the Form A0
AN INTRODUCTION TO POWER SERIES PO-LAM YUNG A finite sum of the form n a0 + a1x + ··· + anx (where a0; : : : ; an are constants) is called a polynomial of degree n in x. One may wonder what happens if we allow an infinite number of terms instead. This leads to the study of what is called a power series, as follows. Definition 1. Given a point c 2 R, and a sequence of (real or complex) numbers a0; a1;:::; one can form a power series centered at c: 2 a0 + a1(x − c) + a2(x − c) + :::; which is also written as 1 X k ak(x − c) : k=0 For example, the following are all power series centered at 0: 1 x x2 x3 X xk (1) 1 + + + + ::: = ; 1! 2! 3! k! k=0 1 X (2) 1 + x + x2 + x3 + ::: = xk: k=0 We want to think of a power series as a function of x. Thus we are led to study carefully the convergence of such a series. Recall that an infinite series of numbers is said to converge, if the sequence given by the sum of the first N terms converges as N tends to infinity. In particular, given a real number x, the series 1 X k ak(x − c) k=0 converges, if and only if N X k lim ak(x − c) N!1 k=0 exists. A power series centered at c will surely converge at x = c (because one is just summing a bunch of zeroes then), but there is no guarantee that the series will converge for any other values x. -
Leonhard Euler: His Life, the Man, and His Works∗
SIAM REVIEW c 2008 Walter Gautschi Vol. 50, No. 1, pp. 3–33 Leonhard Euler: His Life, the Man, and His Works∗ Walter Gautschi† Abstract. On the occasion of the 300th anniversary (on April 15, 2007) of Euler’s birth, an attempt is made to bring Euler’s genius to the attention of a broad segment of the educated public. The three stations of his life—Basel, St. Petersburg, andBerlin—are sketchedandthe principal works identified in more or less chronological order. To convey a flavor of his work andits impact on modernscience, a few of Euler’s memorable contributions are selected anddiscussedinmore detail. Remarks on Euler’s personality, intellect, andcraftsmanship roundout the presentation. Key words. LeonhardEuler, sketch of Euler’s life, works, andpersonality AMS subject classification. 01A50 DOI. 10.1137/070702710 Seh ich die Werke der Meister an, So sehe ich, was sie getan; Betracht ich meine Siebensachen, Seh ich, was ich h¨att sollen machen. –Goethe, Weimar 1814/1815 1. Introduction. It is a virtually impossible task to do justice, in a short span of time and space, to the great genius of Leonhard Euler. All we can do, in this lecture, is to bring across some glimpses of Euler’s incredibly voluminous and diverse work, which today fills 74 massive volumes of the Opera omnia (with two more to come). Nine additional volumes of correspondence are planned and have already appeared in part, and about seven volumes of notebooks and diaries still await editing! We begin in section 2 with a brief outline of Euler’s life, going through the three stations of his life: Basel, St. -
Fun Power Series Problems
FUN POWER SERIES PROBLEMS Joseph Breen Solutions will be periodically added at the bottom. Problems 1. Evaluate each of the following infinite series. Don’t just show they converge, actually evaluate them! (a) 1 X n 2n n=1 (b) 1 X n2 2n n=1 (c) 1 X n + 1 n! n=0 (d) 1 X 1 (2n)! n=0 2. Let f(x) = x sin(x2). What is f (147)(0)? What about f (148)(0)? Hint: you probably don’t want to take 147 derivatives of f. 3. Evaluate the following integral as an infinite series: Z 1 1 x dx: 0 x 4. Determine whether the following series converge or diverge. (The point of these exercises is that thinking about Maclaurin series can help you!) (a) 1 X 1 arctan : n2 n=1 (b) 1 X − 1 1 − 3 n : n=1 (c) 1 X 1 sin3 p : n n=1 (d) 1 1 ! X Z n sin(x2) dx : x n=1 0 1 (e) 1 ! X 1 ln 2 1 : n=1 1 − sin n (f) 1 1 X arcsin n : (ln n)2 n=1 (g) 1 X − 1 −1 tan n 2 sin n : n=1 (h) 1 1 1 1 1 X ln 1 + 1 + + + ··· + n 2 3 n : n n=1 5. Determine the interval of convergence for each of the following power series. (a) 1 X n!(x − 2)2n : nn n=1 (b) 1 X x3n : (2n)! n=1 (c) 1 X 3n n!(x − 1)n : nn n=1 6. -
Formal Power Series License: CC BY-NC-SA
Formal Power Series License: CC BY-NC-SA Emma Franz April 28, 2015 1 Introduction The set S[[x]] of formal power series in x over a set S is the set of functions from the nonnegative integers to S. However, the way that we represent elements of S[[x]] will be as an infinite series, and operations in S[[x]] will be closely linked to the addition and multiplication of finite-degree polynomials. This paper will introduce a bit of the structure of sets of formal power series and then transfer over to a discussion of generating functions in combinatorics. The most familiar conceptualization of formal power series will come from taking coefficients of a power series from some sequence. Let fang = a0; a1; a2;::: be a sequence of numbers. Then 2 the formal power series associated with fang is the series A(s) = a0 + a1s + a2s + :::, where s is a formal variable. That is, we are not treating A as a function that can be evaluated for some s0. In general, A(s0) is not defined, but we will define A(0) to be a0. 2 Algebraic Structure Let R be a ring. We define R[[s]] to be the set of formal power series in s over R. Then R[[s]] is itself a ring, with the definitions of multiplication and addition following closely from how we define these operations for polynomials. 2 2 Let A(s) = a0 + a1s + a2s + ::: and B(s) = b0 + b1s + b1s + ::: be elements of R[[s]]. Then 2 the sum A(s) + B(s) is defined to be C(s) = c0 + c1s + c2s + :::, where ci = ai + bi for all i ≥ 0. -
9.8 Power Series ∞ Let {An}N=0 Be a Sequence of Numbers
Arkansas Tech University MATH 2924: Calculus II Dr. Marcel B. Finan 9.8 Power Series 1 Let fangn=0 be a sequence of numbers. Then a power series about x = a is a series of the form 1 X n 2 an(x − a) = a0 + a1(x − a) + a2(x − a) + ··· n=0 Note that a power series about x = a always converges at x = a with sum equals to a0. Example 9.8.1 Which of the following is a power series? (a) A polynomial of degree m: (b) The geometric series 1 + x + x2 + ··· : 1 1 1 (c) The series x + x2 + x3 + ··· : (d) The series 1 + x + (x − 1)2 + (x − 2)3 + (x − 3)4 + ··· : Solution. (a) A polynomial of degree m is a power series about x = 0 since 2 m p(x) = a0 + a1x + a2x + ··· + amx : Note that an = 0 for n ≥ m + 1: (b) The geometric series 1 + x + x2 + ··· is a power series about x = 0 with an = 1 for all n. 1 1 1 (c) The series x + x2 + x3 + ··· is not a power series since it has negative powers of x: (d) The series 1 + x + (x − 1)2 + (x − 2)3 + (x − 3)4 + ··· is not a power series since each term is a power of a different quantity Convergence of Power Series To study the convergence of a power series about x = a one starts by fixing x and then constructing the partial sums S0(x) =a0 S1(x) =a0 + a1(x − a) 2 S2(x) =a0 + a1(x − a) + a2(x − a) . -
Calculus II Section 8.6 Representing Functions As Power Series
MATH 122: Calculus II Section 8.6 Representing Functions as Power Series 8.6 Representing Functions as Power Series This section deals with representing certain functions as power series either by starting with a geometric series and manipulating it or by differentiating or integrating a known series. The reason for doing this is that it provides us with a way of integrating functions that don’t have elementary antiderivatives, for solving certain differential equations, or for approximating functions by polynomials. 8.6 Representing Functions as Power Series Consider the series ∞ xn = 1 + x + x2 + x3 + · · · n=0 X It is a geometric series with a = 1 and r = x. We know that it will converge if |r| = |x| < 1. In fact, it will converge to a 1 = . 1 − r 1 − x Therefore ∞ 1 = 1 + x + x2 + x3 + · · · = xn provided that |x| < 1. 1 − x n=0 X 8.6 Representing Functions as Power Series It is important to realize what we mean when we say that ∞ 1 = 1 + x + x2 + x3 + · · · = xn provided that |x| < 1. 1 − x n=0 X If |x| < 1, then the function on the left and the power series on the right produce the exact same result. If |x| ≥ 1, we may still be able to compute with the function on the left (except when x = 1), but the power series diverges. For these values of x, the two sides of the equation give different results. 8.6 Representing Functions as Power Series Example 1 1 Find a power series representation of f (x) = and state the 1 − x3 interval of convergence.