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Mathematical Analysis, Second Edition
PREFACE A glance at the table of contents will reveal that this textbooktreats topics in analysis at the "Advanced Calculus" level. The aim has beento provide a develop- ment of the subject which is honest, rigorous, up to date, and, at thesame time, not too pedantic.The book provides a transition from elementary calculusto advanced courses in real and complex function theory, and it introducesthe reader to some of the abstract thinking that pervades modern analysis. The second edition differs from the first inmany respects. Point set topology is developed in the setting of general metricspaces as well as in Euclidean n-space, and two new chapters have been addedon Lebesgue integration. The material on line integrals, vector analysis, and surface integrals has beendeleted. The order of some chapters has been rearranged, many sections have been completely rewritten, and several new exercises have been added. The development of Lebesgue integration follows the Riesz-Nagyapproach which focuses directly on functions and their integrals and doesnot depend on measure theory.The treatment here is simplified, spread out, and somewhat rearranged for presentation at the undergraduate level. The first edition has been used in mathematicscourses at a variety of levels, from first-year undergraduate to first-year graduate, bothas a text and as supple- mentary reference.The second edition preserves this flexibility.For example, Chapters 1 through 5, 12, and 13 providea course in differential calculus of func- tions of one or more variables. Chapters 6 through 11, 14, and15 provide a course in integration theory. Many other combinationsare possible; individual instructors can choose topics to suit their needs by consulting the diagram on the nextpage, which displays the logical interdependence of the chapters. -
Non-Power Positional Number Representation Systems, Bijective Numeration, and the Mesoamerican Discovery of Zero
Non-Power Positional Number Representation Systems, Bijective Numeration, and the Mesoamerican Discovery of Zero Berenice Rojo-Garibaldia, Costanza Rangonib, Diego L. Gonz´alezb;c, and Julyan H. E. Cartwrightd;e a Posgrado en Ciencias del Mar y Limnolog´ıa, Universidad Nacional Aut´onomade M´exico, Av. Universidad 3000, Col. Copilco, Del. Coyoac´an,Cd.Mx. 04510, M´exico b Istituto per la Microelettronica e i Microsistemi, Area della Ricerca CNR di Bologna, 40129 Bologna, Italy c Dipartimento di Scienze Statistiche \Paolo Fortunati", Universit`adi Bologna, 40126 Bologna, Italy d Instituto Andaluz de Ciencias de la Tierra, CSIC{Universidad de Granada, 18100 Armilla, Granada, Spain e Instituto Carlos I de F´ısicaTe´oricay Computacional, Universidad de Granada, 18071 Granada, Spain Keywords: Zero | Maya | Pre-Columbian Mesoamerica | Number rep- resentation systems | Bijective numeration Abstract Pre-Columbian Mesoamerica was a fertile crescent for the development of number systems. A form of vigesimal system seems to have been present from the first Olmec civilization onwards, to which succeeding peoples made contributions. We discuss the Maya use of the representational redundancy present in their Long Count calendar, a non-power positional number representation system with multipliers 1, 20, 18× 20, :::, 18× arXiv:2005.10207v2 [math.HO] 23 Mar 2021 20n. We demonstrate that the Mesoamericans did not need to invent positional notation and discover zero at the same time because they were not afraid of using a number system in which the same number can be written in different ways. A Long Count number system with digits from 0 to 20 is seen later to pass to one using digits 0 to 19, which leads us to propose that even earlier there may have been an initial zeroless bijective numeration system whose digits ran from 1 to 20. -
MA131 - Analysis 1
MA131 - Analysis 1 Workbook 6 Completeness II Autumn 2008 Contents 3.7 An Interesting Sequence . 1 3.8 Consequences of Completeness - General Bounded Sequences . 1 3.9 Cauchy Sequences . 2 3.10 The Many Faces of Completeness . 5 3.11 * Application - Classification of Decimals * . 5 3.11.1 * Consequences of Completeness for Decimals * . 7 3.11.2 * Is 0:999 ::: Equal to 1? * . 7 3.11.3 * Classifying Decimals * . 10 3.11.4 * Terminating Decimals * . 10 3.11.5 * Recurring Decimals * . 11 3.11.6 * Complete Classification * . 12 3.7 An Interesting Sequence Bank Interests Assignment 1 1 n an+1 A bank offers you 100% inter- Consider the sequence an = 1 + n . Show that a = n n est after 100 days or 10% in- 1 1 1 + n+1 1 − (n+1)2 and then use Bernoulli's inequality to show that terest after each 10 days or 1% an+1 ≥ an. interest after each day. So you 1 n 1 Show that 1 + = n and then use Bernoulli's inequality to show compare the numbers (1 + 1), 2n 1− 1 ( 2n+1 ) 1 10 1 100 n (1 + ) and (1 + ) . that 1 + 1 ≤ 2. Hence show that (a ) is bounded. Using the fact that 10 100 2n 2n Should you ask for an hourly (a ) is increasing, show that it is bounded and hence convergent. n rate of interest? Assignment 2 1 1 1 n Show that 1 − n = 1 and hence that limn!1 1 − n exists. (1+ n−1 ) 1 n n Exercise 1 Criticise the following argument: 1 + n ! (1) = 1. -
Numbers and Numeral Systems
Chapter 3 Numbers and Numeral Systems Numbers play an important role in almost all areas of mathematics, not least in calculus. Virtually all calculus books contain a thorough description of the nat- ural, rational, real and complex numbers, so we will not repeat this here. An important concern for us, however, is to understand the basic principles be- hind how a computer handles numbers and performs arithmetic, and for this we need to consider some facts about numbers that are usually not found in traditional calculus texts. More specifically, we are going to review the basics of the decimal numeral system, where the base is 10, and see how numbers may be represented equally well in other numeral systems where the base is not 10. We will study represen- tation of real numbers as well as arithmetic in different bases. Throughout the chapter we will pay special attention to the binary numeral system (base 2) as this is what is used in most computers. This will be studied in more detail in the next chapter. 3.1 Terminology and Notation We will usually introduce terminology as it is needed, but certain terms need to be agreed upon straightaway. In your calculus book you will have learnt about natural, rational and real numbers. The natural numbers N {0,1,2,3,4,...}1 0 = are the most basic numbers in that both rational and real numbers can be con- structed from them. Any positive natural number n has an opposite number n, and we denote by Z the set of natural numbers augmented with all these − 1In most books the natural numbers start with 1, but for our purposes it is convenient to in- clude 0 as a natural number as well. -
Sets, Functions, Sequences, Sums, and Matrices
Basic Structures: Sets, Functions, Sequences, Sums, and Matrices Chapter 2 With Question/Answer Animations © 2019 McGraw-Hill Education. All rights reserved. Authorized only for instructor use in the classroom. No reproduction or further distribution permitted without the prior written consent of McGraw-Hill Education. Chapter Summary Sets • The Language of Sets • Set Operations • Set Identities Functions • Types of Functions • Operations on Functions • Computability Sequences and Summations • Types of Sequences • Summation Formulae Set Cardinality • Countable Sets Matrices • Matrix Arithmetic © 2019 McGraw-Hill Education Sets Section 2.1 © 2019 McGraw-Hill Education Section Summary 1 Definition of sets Describing Sets • Roster Method • Set-Builder Notation Some Important Sets in Mathematics Empty Set and Universal Set Subsets and Set Equality Cardinality of Sets Tuples Cartesian Product © 2019 McGraw-Hill Education Introduction Sets are one of the basic building blocks for the types of objects considered in discrete mathematics. • Important for counting. • Programming languages have set operations. Set theory is an important branch of mathematics. • Many different systems of axioms have been used to develop set theory. • Here we are not concerned with a formal set of axioms for set theory. Instead, we will use what is called naïve set theory. © 2019 McGraw-Hill Education Sets A set is an unordered collection of objects. • the students in this class • the chairs in this room The objects in a set are called the elements, or members of the set. A set is said to contain its elements. The notation a ∈ A denotes that a is an element of the set A. If a is not a member of A, write a ∉ A © 2019 McGraw-Hill Education Describing a Set: Roster Method S = {a, b, c, d} Order not important S = {a, b, c, d} = {b, c, a, d} Each distinct object is either a member or not; listing more than once does not change the set. -
CHAPTER 3 Numbers and Numeral Systems
CHAPTER 3 Numbers and Numeral Systems Numbers play an important role in almost all areas of mathematics, not least in calculus. Virtually all calculus books contain a thorough description of the nat- ural, rational, real and complex numbers, so we will not repeat this here. An important concern for us, however, is to understand the basic principles be- hind how a computer handles numbers and performs arithmetic, and for this we need to consider some facts about numbers that are usually not found in traditional calculus texts. More specifically, we are going to review the basics of the decimal numeral system, where the base is 10, and see how numbers may be represented equally well in other numeral systems where the base is not 10. We will study represen- tation of real numbers as well as arithmetic in different bases. Throughout the chapter we will pay special attention to the binary number system (base 2) as this is what is used in most computers. This will be studied in more detail in the next chapter. 3.1 Terminology and Notation We will usually introduce terminology as it is needed, but certain terms need to be agreed upon straightaway. In your calculus book you will have learnt about natural, rational and real numbers. The natural numbers N {0,1,2,3,4,...}1 0 = are the most basic numbers in that both rational and real numbers can be con- structed from them. Any positive natural number n has an opposite number 1In most books the natural numbers start with 1, but for our purposes it is convenient to in- clude 0 as a natural number as well. -
Tom M. Apostol One-Variable Calculus, with an Introduction to Linear Algebra
Tom M. Apostol CALCULUS VOLUME 1 One-Variable Calculus, with an Introduction to Linear Algebra SECOND EDITION John Wiley & Sons, Inc. New York l Santa Barbara l London l Sydney l Toronto CONSULTING EDITOR George Springer, Indiana University XEROX @ is a trademark of Xerox Corporation. Second Edition Copyright 01967 by John WiJey & Sons, Inc. First Edition copyright 0 1961 by Xerox Corporation. Al1 rights reserved. Permission in writing must be obtained from the publisher before any part of this publication may be reproduced or transmitted in any form or by any means, electronic or mechanical, including photocopy, recording, or any information storage or retrieval system. ISBN 0 471 00005 1 Library of Congress Catalog Card Number: 67-14605 Printed in the United States of America. 1098765432 TO Jane and Stephen PREFACE Excerpts from the Preface to the First Edition There seems to be no general agreement as to what should constitute a first course in calculus and analytic geometry. Some people insist that the only way to really understand calculus is to start off with a thorough treatment of the real-number system and develop the subject step by step in a logical and rigorous fashion. Others argue that calculus is primarily a tool for engineers and physicists; they believe the course should stress applica- tions of the calculus by appeal to intuition and by extensive drill on problems which develop manipulative skills. There is much that is sound in both these points of view. Calculus is a deductive science and a branch of pure mathematics. At the same time, it is very impor- tant to remember that calculus has strong roots in physical problems and that it derives much of its power and beauty from the variety of its applications. -
Mathematical Analysis I: Lecture 3
Mathematical Analysis I: Lecture 3 Lecturer: Yoh Tanimoto 25/09/2020 Start recording... Some tips Writing math. LATEX. You can try it here, and you can install the full set afterwards. You need to learn some commands, but once you know it it’s very powerful. All my lecture notes and slides are written in LATEX Word processor (MS Word, Apple Pages, Open Office, Libre Office (Insert → Objects → Formula)...). Doing quick computations. Wolfram Math Alpha You can just type some formulas in and it shows the result. Programming languages. Python (I used it to make the graph of the SIR model), Java, C,··· How many of you are in Rome or plan to come to Rome soon? Please take this survey (or click the link in the chat). Today: Apostolo Vol. 1, Chapter I.3. Lecturer: Yoh Tanimoto Mathematical Analysis I 25/09/2020 2 / 20 Are rational numbers all we need? It is true that, in the real world, we can measure quantities to a certain accuracy, so we get numbers in a decimal representation: c = 299792458[m · s−1] (the speed of light) G = 0.0000000000667430(15)[m3kg−1s−2] (the gravitational constant), where (15) means these digits might be incorrect. Any other measured quantity in the real world. And any experiment has a certain accuracy, so it makes sense only to write a certain number of digits, so rational numbers seem to suffice. Lecturer: Yoh Tanimoto Mathematical Analysis I 25/09/2020 3 / 20 Are rational numbers all we need? But for certain cases, we know that we should consider irrational numbers. -
CPE 323 Data Types and Number Representations © A
CPE 323 REVIEW DATA TYPES AND NUMBER REPRESENTATIONS IN MODERN COMPUTERS Aleksandar Milenković The LaCASA Laboratory, ECE Department, The University of Alabama in Huntsville Email: [email protected] Web: http://www.ece.uah.edu/~milenka Objective Review numeral systems, storing and interpreting numbers in modern computers, including unsigned and signed integers and arithmetic operations on them, BCD representation, and representation of fractional numbers (fixed-point and floating-point). Contents 1 Numeral Systems: Decimal, binary, hexadecimal, and octal .................................................. 2 2 Conversion to binary from other numeral systems ................................................................ 3 3 Storing and interpreting information in modern computers .................................................. 4 4 Integers .................................................................................................................................... 5 4.1 Two’s Complement .......................................................................................................... 5 4.2 Calculating two’s complement ......................................................................................... 6 4.3 Arithmetic Operations: Addition ...................................................................................... 7 4.4 Arithmetic Operations: Subtraction ................................................................................. 8 4.5 Arithmetic Operations: Multiplication .......................................................................... -
Real Numbers As Infinite Decimals
The Mathematics Enthusiast Volume 18 Number 1 Numbers 1 & 2 Article 4 1-2021 Real numbers as infinite decimals Nicolas Fardin Liangpan Li Follow this and additional works at: https://scholarworks.umt.edu/tme Let us know how access to this document benefits ou.y Recommended Citation Fardin, Nicolas and Li, Liangpan (2021) "Real numbers as infinite decimals," The Mathematics Enthusiast: Vol. 18 : No. 1 , Article 4. Available at: https://scholarworks.umt.edu/tme/vol18/iss1/4 This Article is brought to you for free and open access by ScholarWorks at University of Montana. It has been accepted for inclusion in The Mathematics Enthusiast by an authorized editor of ScholarWorks at University of Montana. For more information, please contact [email protected]. TME, vol. 18, nos. 1-2, p. 21 Real numbers as infinite decimals Nicolas Fardin Lgt De Lattre de Tassigny, France Liangpan Li Shandong University, China ABSTRACT: Stemming from an idea put forward by Loo-Keng Hua in 1962, this article describes an original way to perform arithmetic directly on infinite decimals. This approach leads to a new and elementary construction of the real number system via decimal representation. Based on the least upper bound property, a definition of trigonometric functions is also included, which settles an issue that God- frey H. Hardy called \a fatal defect" in his Course of Pure Mathematics. Keywords: real number system, infinite decimal, trigonometric functions, rectifiable curve The Mathematics Enthusiast, ISSN 1551-3440, vol. 18, no. 1 & 2, pp. 21{38 2021 c The Authors & Dept. of Mathematical Sciences { The University of Montana Fardin & Li, p. -
On the Definition of Periodic Decimal Representations: an Alternative Point of View Giuseppina Anatriello
The Mathematics Enthusiast Volume 16 Article 2 Number 1 Numbers 1, 2, & 3 2-2019 On the definition of periodic decimal representations: An alternative point of view Giuseppina Anatriello Giovanni Vincenzi Let us know how access to this document benefits ouy . Follow this and additional works at: https://scholarworks.umt.edu/tme Recommended Citation Anatriello, Giuseppina and Vincenzi, Giovanni (2019) "On the definition of periodic decimal representations: An alternative point of view," The Mathematics Enthusiast: Vol. 16 : No. 1 , Article 2. Available at: https://scholarworks.umt.edu/tme/vol16/iss1/2 This Article is brought to you for free and open access by ScholarWorks at University of Montana. It has been accepted for inclusion in The Mathematics Enthusiast by an authorized editor of ScholarWorks at University of Montana. For more information, please contact [email protected]. TME, vol. 16, nos. 1, 2 &3, p. 3 On the definition of periodic decimal representations: An alternative point of view Giuseppina Anatriello University of Naples \Federico II", Italy Giovanni Vincenzi University of Salerno, Italy ABSTRACT: Until the seventeenth century, rational numbers were represented as fractions. It was starting from that century, thanks to Simon Stevin, that for all practical purposes the use of decimal notation became widespread. Although decimal numbers are widely used, their organic development is lacking, while a vast literature propagates misconceptions about them, among both students and teachers. In particular, the case of the period 9 is especially interesting. In this paper, changing the point of view, we propose substituting the usual definitions of the periodic decimal representation of a rational num- ber { the one obtained through long division introduced in the secondary school and the one obtained through the series concept for undergraduate level { with one which, instead of infinite progressions, uses a known property of fractions deducible from Euler's Totient Theorem. -
1. Introduction to Number Representation Systems
VHDL Design and Simulation number_representation_all7.fm - 1 Dr. Anthony D. Johnson 1. Introduction to Number Representation Systems Numbers do exist as what they are - the result of counting; they do not need to be written down to come into existence. Therefore, the often encountered jargon terms: "binary numbers", "octal numbers", "decimal" and "hexadecimal" numbers do not exist as different kinds of numbers. What these jargon terms refer to is how the numbers are recorded/written down. These terms refer to the different number representations in writing: binary number representation, octal number representation, decimal number representation, and hexadecimal number representation. Over the time, there have been invented many different ways in which numbers can be represented in various physical media. Looking just at the writing for visual reference, all of the following are different representations of the number fifty, fifty = 50 = 1100102 = 628 = 5010 = 3216 = L or, all of the following are the representations of the number fifty-two, fifty-two = 52 = 1101002 = 648 = 5210 = 3416= LII, or, for the year numbers in Roman representation MCMXCVIII=199810 while, neither one of them is either a binary, octal, etc. number. To bring more order into the picture, we can remind ourselves that our every day’s writing of fifty-two in the decimal representation is a shorthand notation for the numerical expression, 1 0 510 + 210 = 50 + 2 =5210 . (1-1) The following binary representation of the number fifty1100102 is a shorthand notation of the same type as (1-1) 5 4 3 2 1 0 1100102 = 12 + 12 + 02 + 02 + 12 + 02 = 32 + 16 +0+0+ 2 +0 = 50 .