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Solutions to Tutorial for Week 4
The University of Sydney School of Mathematics and Statistics Solutions to Tutorial for Week 4 MATH1921/1931: Calculus of One Variable (Advanced) Semester 1, 2018 Web Page: sydney.edu.au/science/maths/u/UG/JM/MATH1921/ Lecturer: Daniel Daners Material covered Definition of a function f : A ! B and composites, domain, codomain and image/range; Injective, surjective, and bijective functions; inverse functions. The concept of natural domain of a real valued function of a real variable. The hyperbolic sine and cosine functions sinh x and cosh x. Outcomes After completing this tutorial you should understand the concepts of domain, codomain and image/range of functions; be able to calculate the image/range of various functions; be able to prove whether given functions are injective, surjective or bijective and compute inverse functions; identify the natural domain of real valued functions of a real variable; work with the hyperbolic cosine and sine functions, and prove identities involving them. Summary of essential material The hyperbolic sine and cosine. The hyper- y bolic cosine and hyperbolic sine functions are de- cosh¹xº fined by ex + e−x cosh x = sinh¹xº 2 x −x e − e −x sinh x = ex 1 e 2 2 2 for all x 2 R. They share many properties with the cosine and sine functions as shown in some 0 x e−x questions below. − The graph of the hyperbolic cosine function is 2 the shape of a hanging cable or chain attached at two ends. Functions. Let A and B be sets. A function f : A ! B is a rule which assigns exactly one element of B to each element of A. -
Injective, Surjective, and Bijective Functions
Module A-5: Injective, Surjective, and Bijective Functions Math-270: Discrete Mathematics November 10, 2019 Motivation You’re surely familiar with the idea of an inverse function: a function that undoes some other function. For example, f(x)=x3 and g(x)=p3 x are inverses of each other. Whether thinking mathematically or coding this in software, things get compli- cated. The theory of injective, surjective, and bijective functions is a very compact and mostly straightforward theory. Yet it completely untangles all the potential pitfalls of inverting a function. Terminology If a function f maps a set to a set , we are accustomed to calling the domain (which is fine) but we are also accustomed to callingX the range,Y and that is sloppy. The rangeX of f is the set of values actually hit by f. In other words, y isY in the range of f(x) if and only if there is some x in the domain such that f(x)=y. Without this restriction, we refer to as the co-domain of f(x). You have probably heard the phrase “y is theY image of x”whenf(x)=y. Likewise, we can say “x is a pre-image of y.” Notice that we say “a pre-image” and not “the pre-image.” That’s because y might have multiple pre-images. For example, if f(x)=x2 as a function of the real line, then y = 4 has two pre-images: x = 2 and x = 2. Meanwhile, y = 0 has only one pre-image, x = 0. In contrast, y = 1 has no pre-images. -
Chapter VII Functions
Chapter VII Functions Greatness is not a function of circumstance. Greatness, it turns out, is largely a matter of conscious choice, and discipline. James C. Collins Functions play an important role in mathematical applications to physics, engi- neering, biology, economics, etc. If you have taken algebra and calculus, then you evaluated functions, graphed functions, and determined derivatives and integrals of functions. However, the precise definition of what a function is may have been some- what vague. In this chapter we will make precise exactly what modern mathematicians mean by a function. The definition will allow us to study functions on sets much more general than real numbers. We will see examples of functions defined on the real numbers, the integers, the natural numbers, congruence classes, power sets, and other sets. We will also discuss various properties of functions. The properties that we study have been chosen for their usefulness; they show up throughout higher mathematics. As you progress in mathematics, you will find that an important tool in studying any class of mathematical objects is the study of functions between the objects. The definitions and techniques that we learn in this chapter will prepare you for this study. 175 176 CHAPTER VII. FUNCTIONS 24 Defining functions The main purpose of this section is to formally define what we mean by a function. We will also give examples. 24.A What is a function? Recall that we have defined a relation from a set A to a set B to be a subset of A B. We now define a function from A to B as a relation that satisfies certain conditions.× Definition 24.1. -
Lecture 18: Injective and Surjective Functions and Transformations
LECTURE 18: INJECTIVE AND SURJECTIVE FUNCTIONS AND TRANSFORMATIONS MA1111: LINEAR ALGEBRA I, MICHAELMAS 2016 1. Injective and surjective functions There are two types of special properties of functions which are important in many different mathematical theories, and which you may have seen. The first property we require is the notion of an injective function. Definition. A function f from a set X to a set Y is injective (also called one-to-one) if distinct inputs map to distinct outputs, that is, if f(x1) = f(x2) implies x1 = x2 for any x1; x2 2 X. Example. The function f : R ! R given by f(x) = x2 is not injective as, e.g., (−1)2 = 12 = 1. In general, you can tell if functions like this are one-to-one by using the horizontal line test; if a horizontal line ever intersects the graph in two differ- ent places, the real-valued function is not injective. In this example, it is clear that the parabola can intersect a horizontal line at more than one point. Example. The projection operator T : R2 ! R2 with T (x; y) = (x; 0) isn't injective, as many points can project to the same point on the x-axis. The dual notion which we shall require is that of surjective functions. Definition. A function f : X ! Y is surjective (also called onto) if every element y 2 Y is in the image of f, that is, if for any y 2 Y , there is some x 2 X with f(x) = y. Example. The example f(x) = x2 as a function from R ! R is also not onto, as negative numbers aren't squares of real numbers. -
Notes on Part 1, Functions
Elementary Functions Chapter 1, Functions c Ken W. Smith, 2013 Version 1.3, January 8, 2014 These notes were developed by professor Ken W. Smith for MATH 1410 sections at Sam Houston State University, Huntsville, TX. This material was covered in six 80-minute class lectures at Sam Houston in Summer 2013. (Sections 1.0 and 1.1 were combined in one lecture since 1.0 is a brief review.) In addition to these class notes, there is a slide presentation version of these notes and a set of Worksheets. All of these are available on Blackboard. Contents 1 Functions and Polynomials 3 1.0 Algebra excellence . .3 1.0.1 Exponential notation { merely an abbreviation! . .3 1.0.2 Kilobytes and powers of ten (an application to computer science) . .4 1.0.3 Polynomial arithmetic: a review of A2 − B2 and other basic factoring . .5 1.0.4 Simplifying complicated fractions . .6 1.0.5 Other resources for algebra review...........................7 1.1 An introduction to functions . .8 1.1.1 The function machine . .8 1.1.2 Functions as ordered pairs . 10 1.1.3 Functions defined by equations . 12 1.1.4 The domain of a function . 14 1.1.5 Other resources for functions and function notation................. 15 1.2 Graphs of functions . 17 1.2.1 Using ordered pairs to draw functions . 17 1.2.2 Intercepts of the graph of a function . 19 1.2.3 Intervals in which the function rises or falls . 21 1.2.4 The vertical line test definition of a function .