A Mathematical Revolutionary
Total Page:16
File Type:pdf, Size:1020Kb
Load more
Recommended publications
-
Life with Augustine
Life with Augustine ...a course in his spirit and guidance for daily living By Edmond A. Maher ii Life with Augustine © 2002 Augustinian Press Australia Sydney, Australia. Acknowledgements: The author wishes to acknowledge and thank the following people: ► the Augustinian Province of Our Mother of Good Counsel, Australia, for support- ing this project, with special mention of Pat Fahey osa, Kevin Burman osa, Pat Codd osa and Peter Jones osa ► Laurence Mooney osa for assistance in editing ► Michael Morahan osa for formatting this 2nd Edition ► John Coles, Peter Gagan, Dr. Frank McGrath fms (Brisbane CEO), Benet Fonck ofm, Peter Keogh sfo for sharing their vast experience in adult education ► John Rotelle osa, for granting us permission to use his English translation of Tarcisius van Bavel’s work Augustine (full bibliography within) and for his scholarly advice Megan Atkins for her formatting suggestions in the 1st Edition, that have carried over into this the 2nd ► those generous people who have completed the 1st Edition and suggested valuable improvements, especially Kath Neehouse and friends at Villanova College, Brisbane Foreword 1 Dear Participant Saint Augustine of Hippo is a figure in our history who has appealed to the curiosity and imagination of many generations. He is well known for being both sinner and saint, for being a bishop yet also a fellow pilgrim on the journey to God. One of the most popular and attractive persons across many centuries, his influence on the church has continued to our current day. He is also renowned for his influ- ence in philosophy and psychology and even (in an indirect way) art, music and architecture. -
The Evolution of Technical Analysis Lo “A Movement Is Over When the News Is Out,” So Goes Photo: MIT the Evolution the Wall Street Maxim
Hasanhodzic $29.95 USA / $35.95 CAN PRAISE FOR The Evolution of Technical Analysis Lo “A movement is over when the news is out,” so goes Photo: MIT Photo: The Evolution the Wall Street maxim. For thousands of years, tech- ANDREW W. LO is the Harris “Where there is a price, there is a market, then analysis, and ultimately a study of the analyses. You don’t nical analysis—marred with common misconcep- & Harris Group Professor of Finance want to enter this circle without a copy of this book to guide you through the bazaar and fl ash.” at MIT Sloan School of Management tions likening it to gambling or magic and dismissed —Dean LeBaron, founder and former chairman of Batterymarch Financial Management, Inc. and the director of MIT’s Laboratory by many as “voodoo fi nance”—has sought methods FINANCIAL PREDICTION of Technical Analysis for Financial Engineering. He has for spotting trends in what the market’s done and “The urge to fi nd order in the chaos of market prices is as old as civilization itself. This excellent volume published numerous papers in leading academic what it’s going to do. After all, if you don’t learn from traces the development of the tools and insights of technical analysis over the entire span of human history; FINANCIAL PREDICTION FROM BABYLONIAN history, how can you profi t from it? and practitioner journals, and his books include beginning with the commodity price and astronomical charts of Mesopotamia, through the Dow Theory The Econometrics of Financial Markets, A Non- of the early twentieth century—which forecast the Crash of 1929—to the analysis of the high-speed TABLETS TO BLOOMBERG TERMINALS Random Walk Down Wall Street, and Hedge Funds: electronic marketplace of today. -
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 . -
Understanding Student Use of Differentials in Physics Integration Problems
PHYSICAL REVIEW SPECIAL TOPICS - PHYSICS EDUCATION RESEARCH 9, 020108 (2013) Understanding student use of differentials in physics integration problems Dehui Hu and N. Sanjay Rebello* Department of Physics, 116 Cardwell Hall, Kansas State University, Manhattan, Kansas 66506-2601, USA (Received 22 January 2013; published 26 July 2013) This study focuses on students’ use of the mathematical concept of differentials in physics problem solving. For instance, in electrostatics, students need to set up an integral to find the electric field due to a charged bar, an activity that involves the application of mathematical differentials (e.g., dr, dq). In this paper we aim to explore students’ reasoning about the differential concept in physics problems. We conducted group teaching or learning interviews with 13 engineering students enrolled in a second- semester calculus-based physics course. We amalgamated two frameworks—the resources framework and the conceptual metaphor framework—to analyze students’ reasoning about differential concept. Categorizing the mathematical resources involved in students’ mathematical thinking in physics provides us deeper insights into how students use mathematics in physics. Identifying the conceptual metaphors in students’ discourse illustrates the role of concrete experiential notions in students’ construction of mathematical reasoning. These two frameworks serve different purposes, and we illustrate how they can be pieced together to provide a better understanding of students’ mathematical thinking in physics. DOI: 10.1103/PhysRevSTPER.9.020108 PACS numbers: 01.40.Àd mathematical symbols [3]. For instance, mathematicians I. INTRODUCTION often use x; y asR variables and the integrals are often written Mathematical integration is widely used in many intro- in the form fðxÞdx, whereas in physics the variables ductory and upper-division physics courses. -
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. -
Calculus Terminology
AP Calculus BC Calculus Terminology Absolute Convergence Asymptote Continued Sum Absolute Maximum Average Rate of Change Continuous Function Absolute Minimum Average Value of a Function Continuously Differentiable Function Absolutely Convergent Axis of Rotation Converge Acceleration Boundary Value Problem Converge Absolutely Alternating Series Bounded Function Converge Conditionally Alternating Series Remainder Bounded Sequence Convergence Tests Alternating Series Test Bounds of Integration Convergent Sequence Analytic Methods Calculus Convergent Series Annulus Cartesian Form Critical Number Antiderivative of a Function Cavalieri’s Principle Critical Point Approximation by Differentials Center of Mass Formula Critical Value Arc Length of a Curve Centroid Curly d Area below a Curve Chain Rule Curve Area between Curves Comparison Test Curve Sketching Area of an Ellipse Concave Cusp Area of a Parabolic Segment Concave Down Cylindrical Shell Method Area under a Curve Concave Up Decreasing Function Area Using Parametric Equations Conditional Convergence Definite Integral Area Using Polar Coordinates Constant Term Definite Integral Rules Degenerate Divergent Series Function Operations Del Operator e Fundamental Theorem of Calculus Deleted Neighborhood Ellipsoid GLB Derivative End Behavior Global Maximum Derivative of a Power Series Essential Discontinuity Global Minimum Derivative Rules Explicit Differentiation Golden Spiral Difference Quotient Explicit Function Graphic Methods Differentiable Exponential Decay Greatest Lower Bound Differential -
Leonhard Euler Moriam Yarrow
Leonhard Euler Moriam Yarrow Euler's Life Leonhard Euler was one of the greatest mathematician and phsysicist of all time for his many contributions to mathematics. His works have inspired and are the foundation for modern mathe- matics. Euler was born in Basel, Switzerland on April 15, 1707 AD by Paul Euler and Marguerite Brucker. He is the oldest of five children. Once, Euler was born his family moved from Basel to Riehen, where most of his childhood took place. From a very young age Euler had a niche for math because his father taught him the subject. At the age of thirteen he was sent to live with his grandmother, where he attended the University of Basel to receive his Master of Philosphy in 1723. While he attended the Universirty of Basel, he studied greek in hebrew to satisfy his father. His father wanted to prepare him for a career in the field of theology in order to become a pastor, but his friend Johann Bernouilli convinced Euler's father to allow his son to pursue a career in mathematics. Bernoulli saw the potentional in Euler after giving him lessons. Euler received a position at the Academy at Saint Petersburg as a professor from his friend, Daniel Bernoulli. He rose through the ranks very quickly. Once Daniel Bernoulli decided to leave his position as the director of the mathmatical department, Euler was promoted. While in Russia, Euler was greeted/ introduced to Christian Goldbach, who sparked Euler's interest in number theory. Euler was a man of many talents because in Russia he was learning russian, executed studies on navigation and ship design, cartography, and an examiner for the military cadet corps. -
Euler and His Work on Infinite Series
BULLETIN (New Series) OF THE AMERICAN MATHEMATICAL SOCIETY Volume 44, Number 4, October 2007, Pages 515–539 S 0273-0979(07)01175-5 Article electronically published on June 26, 2007 EULER AND HIS WORK ON INFINITE SERIES V. S. VARADARAJAN For the 300th anniversary of Leonhard Euler’s birth Table of contents 1. Introduction 2. Zeta values 3. Divergent series 4. Summation formula 5. Concluding remarks 1. Introduction Leonhard Euler is one of the greatest and most astounding icons in the history of science. His work, dating back to the early eighteenth century, is still with us, very much alive and generating intense interest. Like Shakespeare and Mozart, he has remained fresh and captivating because of his personality as well as his ideas and achievements in mathematics. The reasons for this phenomenon lie in his universality, his uniqueness, and the immense output he left behind in papers, correspondence, diaries, and other memorabilia. Opera Omnia [E], his collected works and correspondence, is still in the process of completion, close to eighty volumes and 31,000+ pages and counting. A volume of brief summaries of his letters runs to several hundred pages. It is hard to comprehend the prodigious energy and creativity of this man who fueled such a monumental output. Even more remarkable, and in stark contrast to men like Newton and Gauss, is the sunny and equable temperament that informed all of his work, his correspondence, and his interactions with other people, both common and scientific. It was often said of him that he did mathematics as other people breathed, effortlessly and continuously. -
Infinitesimal Calculus
Infinitesimal Calculus Δy ΔxΔy and “cannot stand” Δx • Derivative of the sum/difference of two functions (x + Δx) ± (y + Δy) = (x + y) + Δx + Δy ∴ we have a change of Δx + Δy. • Derivative of the product of two functions (x + Δx)(y + Δy) = xy + Δxy + xΔy + ΔxΔy ∴ we have a change of Δxy + xΔy. • Derivative of the product of three functions (x + Δx)(y + Δy)(z + Δz) = xyz + Δxyz + xΔyz + xyΔz + xΔyΔz + ΔxΔyz + xΔyΔz + ΔxΔyΔ ∴ we have a change of Δxyz + xΔyz + xyΔz. • Derivative of the quotient of three functions x Let u = . Then by the product rule above, yu = x yields y uΔy + yΔu = Δx. Substituting for u its value, we have xΔy Δxy − xΔy + yΔu = Δx. Finding the value of Δu , we have y y2 • Derivative of a power function (and the “chain rule”) Let y = x m . ∴ y = x ⋅ x ⋅ x ⋅...⋅ x (m times). By a generalization of the product rule, Δy = (xm−1Δx)(x m−1Δx)(x m−1Δx)...⋅ (xm −1Δx) m times. ∴ we have Δy = mx m−1Δx. • Derivative of the logarithmic function Let y = xn , n being constant. Then log y = nlog x. Differentiating y = xn , we have dy dy dy y y dy = nxn−1dx, or n = = = , since xn−1 = . Again, whatever n−1 y dx x dx dx x x x the differentials of log x and log y are, we have d(log y) = n ⋅ d(log x), or d(log y) n = . Placing these values of n equal to each other, we obtain d(log x) dy d(log y) y dy = . -
On the Euler Integral for the Positive and Negative Factorial
On the Euler Integral for the positive and negative Factorial Tai-Choon Yoon ∗ and Yina Yoon (Dated: Dec. 13th., 2020) Abstract We reviewed the Euler integral for the factorial, Gauss’ Pi function, Legendre’s gamma function and beta function, and found that gamma function is defective in Γ(0) and Γ( x) − because they are undefined or indefinable. And we came to a conclusion that the definition of a negative factorial, that covers the domain of the negative space, is needed to the Euler integral for the factorial, as well as the Euler Y function and the Euler Z function, that supersede Legendre’s gamma function and beta function. (Subject Class: 05A10, 11S80) A. The positive factorial and the Euler Y function Leonhard Euler (1707–1783) developed a transcendental progression in 1730[1] 1, which is read xedx (1 x)n. (1) Z − f From this, Euler transformed the above by changing e to g for generalization into f x g dx (1 x)n. (2) Z − Whence, Euler set f = 1 and g = 0, and got an integral for the factorial (!) 2, dx ( lx )n, (3) Z − where l represents logarithm . This is called the Euler integral of the second kind 3, and the equation (1) is called the Euler integral of the first kind. 4, 5 Rewriting the formula (3) as follows with limitation of domain for a positive half space, 1 1 n ln dx, n 0. (4) Z0 x ≥ ∗ Electronic address: [email protected] 1 “On Transcendental progressions that is, those whose general terms cannot be given algebraically” by Leonhard Euler p.3 2 ibid. -
Euler-Maclaurin Formula 1 Introduction
18.704 Seminar in Algebra and Number Theory Fall 2005 Euler-Maclaurin Formula Prof. Victor Kaˇc Kuat Yessenov 1 Introduction Euler-Maclaurin summation formula is an important tool of numerical analysis. Simply put, it gives Pn R n us an estimation of the sum i=0 f(i) through the integral 0 f(t)dt with an error term given by an integral which involves Bernoulli numbers. In the most general form, it can be written as b X Z b 1 f(n) = f(t)dt + (f(b) + f(a)) + (1) 2 n=a a k X bi + (f (i−1)(b) − f (i−1)(a)) − i! i=2 Z b B ({1 − t}) − k f (k)(t)dt a k! where a and b are arbitrary real numbers with difference b − a being a positive integer number, Bn and bn are Bernoulli polynomials and numbers, respectively, and k is any positive integer. The condition we impose on the real function f is that it should have continuous k-th derivative. The symbol {x} for a real number x denotes the fractional part of x. Proof of this theorem using h−calculus is given in the book [Ka] by Victor Kaˇc. In this paper we would like to discuss several applications of this formula. This formula was discovered independently and almost simultaneously by Euler and Maclaurin in the first half of the XVIII-th century. However, neither of them obtained the remainder term Z b Bk({1 − t}) (k) Rk = f (t)dt (2) a k! which is the most essential Both used iterative method of obtaining Bernoulli’s numbers bi, but Maclaurin’s approach was mainly based on geometric structure while Euler used purely analytic ideas. -
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.