DOCSLIB.ORG

Lecture 1, Real Numbers Absolute Value

Total Page：16

File Type：pdf, Size：1020Kb

Download full-text PDF Read full-text
Lecture 1, Real Numbers Absolute Value Lecture 1 : Real Numbers, Absolute Value. Real Numbers We can represent the real numbers by the set of points on a line. The origin corresponds to the number 0. Numbers to the right of 0 are positive or > 0 and numbers to the left of 0 are negative or < 0. The set of Real numbers is denoted by R and contains all of the following number types: • The natural numbers (or counting numbers) denoted by N = f1; 2; 3; 4;::: g. • The integers (or whole numbers) denoted by Z = {· · · − 3; −2; −1; 0; 1; 2; 3;::: g. a • The rational numbers (or fractions) denoted by Q = the set of all numbers of the form b where a and b are integers. • The irrational numbers. These are numbers which do notp fit any of the above descriptions, in particular, they are not rational. Numbers such as π and 2 fit this description. Letting A ⊂ B denote that the set A is a subset of B, we see that N ⊂ Z ⊂ Q ⊂ R. 1 Intervals An important property of the real numbers is that they are totally ordered, so we can compare any two real numbers, a and b, and make a statement of the form a ≤ b or b ≤ a, with strict inequality if a 6= b. Given any two points on the real line, a and b, we call the7 set of points between a and b an interval. When discussing these intervals, it is important to indicate7 6 whether we are including one or both endpoints. 5 We also have the concept of intervals that extend to the6 ends of the number line +1 and −∞. We list the notations for each type of interval and their graphs below.4 (The statement fxja ≤ x ≤ bg should 5 be read as \the set of all x such that a is less than or equal3 to x which is less than or equal to b" (the symbol j denotes "such that")). We can represent intervals4 7 in three ways: 2 6 Notation Set Description Graphical3 1 Representation 7 9.5 5 – 2 2 2 4 6 8 (a; b) fxja < x < bg 9 a b 8.5 64– 1 1 8 – 2 7.5 53 9.5 7 9 – 2 – 3 2 4 6 8 6.5 2 48.5 a b 6 [a; b] fxja ≤ x ≤ bg 8 – 1 – 4 5.5 1 37.5 5 7 – 5 – 2 4.5 6.5 – 2 2 2 4 6 8 4 6 (a; b] fxja < x ≤ bg – 6 a b – 33.5 – 5.51 1 5 3 6.5 – 7 4.5 2.54.5– 2 – 4 4 2 – 2 4 2 4 6 8 3.5 a b 6 [a; b) fxja ≤ x < bg 1.5 – 3 – 5 –3.513 1 2.5 0.5 – 43 – 22 5.5 – 6 4.5 2.5 [a; 1) fxja ≤ x < 1g – 1 1.5 1 a 2 3 4 5 6 7 8 – 0.5 – 5 4 1 2 – 1– 3 – 7 5 0.5 3.5 – 1.51.5– 6 – 1 3 1 2 3 4 5 6 7 8 – 2– 4 a (a; 1) fxja < x < 1g – 0.51 – 2.5 – 7 2.5 4.53 – 1 0.5 – 3– 5 – 1.5 2 – 2 4 – 1 1.5 1 2 3 4 5 6 –– 62.5 b 2.5 (−∞; b] fxj − 1 < x ≤ bg – 0.5 – 3 1 – 1 3.5 – 7 0.5 – 1.5 2 – 1 1 2 3 4 5 6 9 (−∞; b) fxj − 1 < x < bg – 2 – 0.5 b 8.5 3 – 2.5 – 1 1.58 – 3 – 1.5 7.5 2.5(−∞; 1) fxj − 1 < x < 1g entire number line. – 2 7 – 3.5 – 2.5 Example Sketch6.5 1 the following intervals – 4 2 6 – 3 – 4.5 5.5 (1; 3); (1; 3]; [1; 1);– 3.5 (−∞; 3): 1.5 0.55 – 4 4.5 – 4.5 4 1 4.5 3.5 (1, 3) – 1 1 4 2 3 3 0.5 3.5 – 2.50.5 3 2 2.5 1.5 – 1 1 2 3 4 5 6 7 8 (1, 3] 1– 1 2 0.5– 0.5 1.5 1 [1; 1) – 1 1 2 3 4 5 6 7 –– 0.51.5 – 1 0.5 – 1 (−∞; 3) – 1.54 – 3 – 2 – 1 1 2 3 – 2 – 0.5 ––2 1.5 – 2.5 – 1 – 2.5– 3 – 2 – 1.5 2 – 2 – 2.5 – 2.5 – 3 – 3 – 3 – 3.5 – 4 – 3.5 – 4.5 – 4 – 4.5 – 5 – 5.5 Example Graph the intervals [1; 7), (0; 1), (−∞; −1], [−1; 3]. 3 Absolute Value The absolute value of a real number a is denoted by jaj and it is the distance from a to the origin 0 on the number line. The absolute value is always positive. We can give a formula for the absolute value of the number, which depends on whether a is positive or negative. Because of this we have to make two statements to describe the formula. Definition If a is a real number, the absolute value of a is a if a ≥ 0 jaj = −a if a < 0 Example Evaluate j2j, j − 10j, j5 − 9j, j9 − 5j. Algebraic properties of the Absolute Value 1. jaj ≥ 0 for all real numbers a. 2. jaj = j − aj for all real numbers a. 3. jabj = jajjbj, the absolute value of the product of two numbers is the product of the absolute values. 4. a = jaj , the absolute value of the quotient of two numbers is the quotient of the absolute values. b jbj Example Evaluate 7−10 and jj − 2j − j − 4jj. 21 Distance Between Two Points on The Real Line. If a and b are real numbers, then the distance between the points a and b on the real line is d(a; b) = jb − aj: Example Find the distance between the numbers −2 and 4. 4.
Load more

Recommended publications
  • The Enigmatic Number E: a History in Verse and Its Uses in the Mathematics Classroom
    To appear in MAA Loci: Convergence The Enigmatic Number e: A History in Verse and Its Uses in the Mathematics Classroom Sarah Glaz Department of Mathematics University of Connecticut Storrs, CT 06269 [email protected] Introduction In this article we present a history of e in verse—an annotated poem: The Enigmatic Number e . The annotation consists of hyperlinks leading to biographies of the mathematicians appearing in the poem, and to explanations of the mathematical notions and ideas presented in the poem. The intention is to celebrate the history of this venerable number in verse, and to put the mathematical ideas connected with it in historical and artistic context. The poem may also be used by educators in any mathematics course in which the number e appears, and those are as varied as e's multifaceted history. The sections following the poem provide suggestions and resources for the use of the poem as a pedagogical tool in a variety of mathematics courses. They also place these suggestions in the context of other efforts made by educators in this direction by briefly outlining the uses of historical mathematical poems for teaching mathematics at high-school and college level. Historical Background The number e is a newcomer to the mathematical pantheon of numbers denoted by letters: it made several indirect appearances in the 17 th and 18 th centuries, and acquired its letter designation only in 1731. Our history of e starts with John Napier (1550-1617) who defined logarithms through a process called dynamical analogy [1]. Napier aimed to simplify multiplication (and in the same time also simplify division and exponentiation), by finding a model which transforms multiplication into addition.
    [Show full text]
  • Irrational Numbers Unit 4 Lesson 6 IRRATIONAL NUMBERS
    Irrational Numbers Unit 4 Lesson 6 IRRATIONAL NUMBERS Students will be able to: Understand the meanings of Irrational Numbers Key Vocabulary: • Irrational Numbers • Examples of Rational Numbers and Irrational Numbers • Decimal expansion of Irrational Numbers • Steps for representing Irrational Numbers on number line IRRATIONAL NUMBERS A rational number is a number that can be expressed as a ratio or we can say that written as a fraction. Every whole number is a rational number, because any whole number can be written as a fraction. Numbers that are not rational are called irrational numbers. An Irrational Number is a real number that cannot be written as a simple fraction or we can say cannot be written as a ratio of two integers. The set of real numbers consists of the union of the rational and irrational numbers. If a whole number is not a perfect square, then its square root is irrational. For example, 2 is not a perfect square, and √2 is irrational. EXAMPLES OF RATIONAL NUMBERS AND IRRATIONAL NUMBERS Examples of Rational Number The number 7 is a rational number because it can be written as the 7 fraction . 1 The number 0.1111111….(1 is repeating) is also rational number 1 because it can be written as fraction . 9 EXAMPLES OF RATIONAL NUMBERS AND IRRATIONAL NUMBERS Examples of Irrational Numbers The square root of 2 is an irrational number because it cannot be written as a fraction √2 = 1.4142135…… Pi(휋) is also an irrational number. π = 3.1415926535897932384626433832795 (and more...) 22 The approx. value of = 3.1428571428571..
    [Show full text]
  • A Guide to Topology
    i i “topguide” — 2010/12/8 — 17:36 — page i — #1 i i A Guide to Topology i i i i i i “topguide” — 2011/2/15 — 16:42 — page ii — #2 i i c 2009 by The Mathematical Association of America (Incorporated) Library of Congress Catalog Card Number 2009929077 Print Edition ISBN 978-0-88385-346-7 Electronic Edition ISBN 978-0-88385-917-9 Printed in the United States of America Current Printing (last digit): 10987654321 i i i i i i “topguide” — 2010/12/8 — 17:36 — page iii — #3 i i The Dolciani Mathematical Expositions NUMBER FORTY MAA Guides # 4 A Guide to Topology Steven G. Krantz Washington University, St. Louis ® Published and Distributed by The Mathematical Association of America i i i i i i “topguide” — 2010/12/8 — 17:36 — page iv — #4 i i DOLCIANI MATHEMATICAL EXPOSITIONS Committee on Books Paul Zorn, Chair Dolciani Mathematical Expositions Editorial Board Underwood Dudley, Editor Jeremy S. Case Rosalie A. Dance Tevian Dray Patricia B. Humphrey Virginia E. Knight Mark A. Peterson Jonathan Rogness Thomas Q. Sibley Joe Alyn Stickles i i i i i i “topguide” — 2010/12/8 — 17:36 — page v — #5 i i The DOLCIANI MATHEMATICAL EXPOSITIONS series of the Mathematical Association of America was established through a generous gift to the Association from Mary P. Dolciani, Professor of Mathematics at Hunter College of the City Uni- versity of New York. In making the gift, Professor Dolciani, herself an exceptionally talented and successfulexpositor of mathematics, had the purpose of furthering the ideal of excellence in mathematical exposition.
    [Show full text]
  • Hypercomplex Algebras and Their Application to the Mathematical
    Hypercomplex Algebras and their application to the mathematical formulation of Quantum Theory Torsten Hertig I1, Philip H¨ohmann II2, Ralf Otte I3 I tecData AG Bahnhofsstrasse 114, CH-9240 Uzwil, Schweiz 1 [email protected] 3 [email protected] II info-key GmbH & Co. KG Heinz-Fangman-Straße 2, DE-42287 Wuppertal, Deutschland 2 [email protected] March 31, 2014 Abstract Quantum theory (QT) which is one of the basic theories of physics, namely in terms of ERWIN SCHRODINGER¨ ’s 1926 wave functions in general requires the field C of the complex numbers to be formulated. However, even the complex-valued description soon turned out to be insufficient. Incorporating EINSTEIN’s theory of Special Relativity (SR) (SCHRODINGER¨ , OSKAR KLEIN, WALTER GORDON, 1926, PAUL DIRAC 1928) leads to an equation which requires some coefficients which can neither be real nor complex but rather must be hypercomplex. It is conventional to write down the DIRAC equation using pairwise anti-commuting matrices. However, a unitary ring of square matrices is a hypercomplex algebra by definition, namely an associative one. However, it is the algebraic properties of the elements and their relations to one another, rather than their precise form as matrices which is important. This encourages us to replace the matrix formulation by a more symbolic one of the single elements as linear combinations of some basis elements. In the case of the DIRAC equation, these elements are called biquaternions, also known as quaternions over the complex numbers. As an algebra over R, the biquaternions are eight-dimensional; as subalgebras, this algebra contains the division ring H of the quaternions at one hand and the algebra C ⊗ C of the bicomplex numbers at the other, the latter being commutative in contrast to H.
    [Show full text]
  • Introduction Into Quaternions for Spacecraft Attitude Representation
    Introduction into quaternions for spacecraft attitude representation Dipl. -Ing. Karsten Groÿekatthöfer, Dr. -Ing. Zizung Yoon Technical University of Berlin Department of Astronautics and Aeronautics Berlin, Germany May 31, 2012 Abstract The purpose of this paper is to provide a straight-forward and practical introduction to quaternion operation and calculation for rigid-body attitude representation. Therefore the basic quaternion denition as well as transformation rules and conversion rules to or from other attitude representation parameters are summarized. The quaternion computation rules are supported by practical examples to make each step comprehensible. 1 Introduction Quaternions are widely used as attitude represenation parameter of rigid bodies such as space- crafts. This is due to the fact that quaternion inherently come along with some advantages such as no singularity and computationally less intense compared to other attitude parameters such as Euler angles or a direction cosine matrix. Mainly, quaternions are used to • Parameterize a spacecraft's attitude with respect to reference coordinate system, • Propagate the attitude from one moment to the next by integrating the spacecraft equa- tions of motion, • Perform a coordinate transformation: e.g. calculate a vector in body xed frame from a (by measurement) known vector in inertial frame. However, dierent references use several notations and rules to represent and handle attitude in terms of quaternions, which might be confusing for newcomers [5], [4]. Therefore this article gives a straight-forward and clearly notated introduction into the subject of quaternions for attitude representation. The attitude of a spacecraft is its rotational orientation in space relative to a dened reference coordinate system.
    [Show full text]
  • 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 .
    [Show full text]
  • General Topology
    General Topology Tom Leinster 2014{15 Contents A Topological spaces2 A1 Review of metric spaces.......................2 A2 The definition of topological space.................8 A3 Metrics versus topologies....................... 13 A4 Continuous maps........................... 17 A5 When are two spaces homeomorphic?................ 22 A6 Topological properties........................ 26 A7 Bases................................. 28 A8 Closure and interior......................... 31 A9 Subspaces (new spaces from old, 1)................. 35 A10 Products (new spaces from old, 2)................. 39 A11 Quotients (new spaces from old, 3)................. 43 A12 Review of ChapterA......................... 48 B Compactness 51 B1 The definition of compactness.................... 51 B2 Closed bounded intervals are compact............... 55 B3 Compactness and subspaces..................... 56 B4 Compactness and products..................... 58 B5 The compact subsets of Rn ..................... 59 B6 Compactness and quotients (and images)............. 61 B7 Compact metric spaces........................ 64 C Connectedness 68 C1 The definition of connectedness................... 68 C2 Connected subsets of the real line.................. 72 C3 Path-connectedness.......................... 76 C4 Connected-components and path-components........... 80 1 Chapter A Topological spaces A1 Review of metric spaces For the lecture of Thursday, 18 September 2014 Almost everything in this section should have been covered in Honours Analysis, with the possible exception of some of the examples. For that reason, this lecture is longer than usual. Definition A1.1 Let X be a set. A metric on X is a function d: X × X ! [0; 1) with the following three properties: • d(x; y) = 0 () x = y, for x; y 2 X; • d(x; y) + d(y; z) ≥ d(x; z) for all x; y; z 2 X (triangle inequality); • d(x; y) = d(y; x) for all x; y 2 X (symmetry).
    [Show full text]
  • Measuring Fractals by Infinite and Infinitesimal Numbers
    MEASURING FRACTALS BY INFINITE AND INFINITESIMAL NUMBERS Yaroslav D. Sergeyev DEIS, University of Calabria, Via P. Bucci, Cubo 42-C, 87036 Rende (CS), Italy, N.I. Lobachevsky State University, Nizhni Novgorod, Russia, and Institute of High Performance Computing and Networking of the National Research Council of Italy http://wwwinfo.deis.unical.it/∼yaro e-mail: [email protected] Abstract. Traditional mathematical tools used for analysis of fractals allow one to distinguish results of self-similarity processes after a finite number of iterations. For example, the result of procedure of construction of Cantor’s set after two steps is different from that obtained after three steps. However, we are not able to make such a distinction at infinity. It is shown in this paper that infinite and infinitesimal numbers proposed recently allow one to measure results of fractal processes at different iterations at infinity too. First, the new technique is used to measure at infinity sets being results of Cantor’s proce- dure. Second, it is applied to calculate the lengths of polygonal geometric spirals at different points of infinity. 1. INTRODUCTION During last decades fractals have been intensively studied and applied in various fields (see, for instance, [4, 11, 5, 7, 12, 20]). However, their mathematical analysis (except, of course, a very well developed theory of fractal dimensions) very often continues to have mainly a qualitative character and there are no many tools for a quantitative analysis of their behavior after execution of infinitely many steps of a self-similarity process of construction. Usually, we can measure fractals in a way and can give certain numerical answers to questions regarding fractals only if a finite number of steps in the procedure of their construction has been executed.
    [Show full text]
  • 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
    [Show full text]
  • MATH 3210 Metric Spaces
    MATH 3210 Metric spaces University of Leeds, School of Mathematics November 29, 2017 Syllabus: 1. Definition and fundamental properties of a metric space. Open sets, closed sets, closure and interior. Convergence of sequences. Continuity of mappings. (6) 2. Real inner-product spaces, orthonormal sequences, perpendicular distance to a subspace, applications in approximation theory. (7) 3. Cauchy sequences, completeness of R with the standard metric; uniform convergence and completeness of C[a; b] with the uniform metric. (3) 4. The contraction mapping theorem, with applications in the solution of equations and differential equations. (5) 5. Connectedness and path-connectedness. Introduction to compactness and sequential compactness, including subsets of Rn. (6) LECTURE 1 Books: Victor Bryant, Metric spaces: iteration and application, Cambridge, 1985. M. O.´ Searc´oid,Metric Spaces, Springer Undergraduate Mathematics Series, 2006. D. Kreider, An introduction to linear analysis, Addison-Wesley, 1966. 1 Metrics, open and closed sets We want to generalise the idea of distance between two points in the real line, given by d(x; y) = jx − yj; and the distance between two points in the plane, given by p 2 2 d(x; y) = d((x1; x2); (y1; y2)) = (x1 − y1) + (x2 − y2) : to other settings. [DIAGRAM] This will include the ideas of distances between functions, for example. 1 1.1 Definition Let X be a non-empty set. A metric on X, or distance function, associates to each pair of elements x, y 2 X a real number d(x; y) such that (i) d(x; y) ≥ 0; and d(x; y) = 0 () x = y (positive definite); (ii) d(x; y) = d(y; x) (symmetric); (iii) d(x; z) ≤ d(x; y) + d(y; z) (triangle inequality).
    [Show full text]
  • Complex Numbers Sigma-Complex3-2009-1 in This Unit We Describe Formally What Is Meant by a Complex Number
    Complex numbers sigma-complex3-2009-1 In this unit we describe formally what is meant by a complex number. First let us revisit the solution of a quadratic equation. Example Use the formula for solving a quadratic equation to solve x2 10x +29=0. − Solution Using the formula b √b2 4ac x = − ± − 2a with a =1, b = 10 and c = 29, we find − 10 p( 10)2 4(1)(29) x = ± − − 2 10 √100 116 x = ± − 2 10 √ 16 x = ± − 2 Now using i we can find the square root of 16 as 4i, and then write down the two solutions of the equation. − 10 4 i x = ± =5 2 i 2 ± The solutions are x = 5+2i and x =5-2i. Real and imaginary parts We have found that the solutions of the equation x2 10x +29=0 are x =5 2i. The solutions are known as complex numbers. A complex number− such as 5+2i is made up± of two parts, a real part 5, and an imaginary part 2. The imaginary part is the multiple of i. It is common practice to use the letter z to stand for a complex number and write z = a + b i where a is the real part and b is the imaginary part. Key Point If z is a complex number then we write z = a + b i where i = √ 1 − where a is the real part and b is the imaginary part. www.mathcentre.ac.uk 1 c mathcentre 2009 Example State the real and imaginary parts of 3+4i.
    [Show full text]
  • 1.1 the Real Number System
    1.1 The Real Number System Types of Numbers: The following diagram shows the types of numbers that form the set of real numbers. Definitions 1. The natural numbers are the numbers used for counting. 1, 2, 3, 4, 5, . A natural number is a prime number if it is greater than 1 and its only factors are 1 and itself. A natural number is a composite number if it is greater than 1 and it is not prime. Example: 5, 7, 13,29, 31 are prime numbers. 8, 24, 33 are composite numbers. 2. The whole numbers are the natural numbers and zero. 0, 1, 2, 3, 4, 5, . 3. The integers are all the whole numbers and their additive inverses. No fractions or decimals. , -3, -2, -1, 0, 1, 2, 3, . An integer is even if it can be written in the form 2n , where n is an integer (if 2 is a factor). An integer is odd if it can be written in the form 2n −1, where n is an integer (if 2 is not a factor). Example: 2, 0, 8, -24 are even integers and 1, 57, -13 are odd integers. 4. The rational numbers are the numbers that can be written as the ratio of two integers. All rational numbers when written in their equivalent decimal form will have terminating or repeating decimals. 1 2 , 3.25, 0.8125252525 …, 0.6 , 2 ( = ) 5 1 1 5. The irrational numbers are any real numbers that can not be represented as the ratio of two integers.
    [Show full text]