One-to-One and Inverse Functions. Learning Objectives. Properties of Functions

Size: px
Start display at page:

Download "One-to-One and Inverse Functions. Learning Objectives. Properties of Functions"

Transcription

1 One-to-One and Inverse Functions Learning Objectives. Determine whether a unction is one-to-one 2. Determine the inverse o a unction deined by a map or a set o ordered pairs 3. Obtain the graph o the inverse unction rom the graph o the unction 4. Find the inverse o a unction deined by an equation 2 A unction :AB is said to be one-to-one (or injective), i and only i and y A (() = (y) = y) In other words: is one-to-one i and only i it does not map two distinct elements o A onto the same element o B 3

2 Eample (Maria) = San Antonio (Juan) = El Paso (Lisa) = Austin (Peter) = El Paso Is one-to-one? No, Juan and Peter are mapped onto the same element o the image 4 Eample g(jannie) = San Antonio g(juan) = El Paso g(lisa) = Austin g(peter) = Lubbock Is g one-to-one? Yes, each element is assigned a unique element o the image. 5 Theorem Horizontal Line Test I horizontal lines intersect the graph o a unction in at most one point, then is one-to-one. 6 2

3 Eample Use the graph to determine whether the ollowing unction is one - to - one. y ( ) Yes, () passes the horizontal line test 7 Eample ( ) 2 2 Use the graph to determine whether the ollowing unction is one - to - one. y No, () ails the horizontal line test 8 Eample Which o the ollowing are one - to - one unctions? {(, ), (2, 4), (3, 9), (4, 6)} one-to-one {(-2, 4), (-, ), (0, 0), (, )} not one-to-one 9 3

4 Eample Prove :RR with () = 3 is one-to-one One-to-one means, ya (() = (y) = y) To show: () (y) whenever y (indirect proo) y 3 3y () (y), so i y, then () (y), that is, is one-to-one 0 A unction :AB with A,B R is strictly increasing, i,ya ( < y () < (y)) strictly decreasing, i,ya ( < y () > (y)) A unction that is either strictly increasing or strictly decreasing is one-to-one We can use this to prove a unction is to one-toone by showing the slope is always positive, or always negative A unction :AB is called onto, or surjective, i and only i or every element bb there is an element aa with (a) = b In other words, is onto i and only i its range is its entire codomain In other words a unction is onto i we use all o the y-values 2 4

5 A unction : AB is a bijection, i and only i it is both one-to-one and onto I is a bijection and A and B are inite sets, then A = B 3 Maria Hector Lisa Jon El Paso Hondo Austin San Antonio Is injective? Is surjective? Is bijective? 4 Maria Paul Lisa Liz Paul El Paso Hondo Austin San Antonio Is injective? Is surjective? Yes. Is bijective? 5 5

6 Maria Jarvis Lisa Doug El Paso Hondo Austin Tyler Amarillo Is injective? Yes. Is surjective? Is bijective? 6 Maria Alberto Lisa Clyde El Paso Dallas Austin San Antonio Houston Is injective? No! is not even a unction! 7 Maria Edward Lisa Peter Olga El Paso La Vernia Austin San Antonio Laredo Is injective? Yes. Is surjective? Yes. Is bijective? Yes. 8 6

7 Inverse Function Injective (one-to-one) unctions have an inverse unction The inverse unction o the one-to-one :AB is the unction - :BA with - (b) = a whenever (a) = b 9 Inverse Function Domain o Range o Range o - Domain o - Domain o Range o Range o Domain o 20 Eample (Maria) = San Antonio (Robert) = El Paso (Patti) = Austin (Peter) = Pearsall (Olga) = Hondo Clearly, is bijective hence one-to-one. The inverse unction - is given by: - (San Antonio) = Maria - (El Paso) = Robert - (Austin) = Patti - (Pearsall) = Peter - (Hondo) = Olga 2 7

8 Composition The composition o two unctions g:ab and :BC, denoted by g g a g a This means that irst, unction g is applied to element aa, mapping it onto an element o B, then, unction is applied to this element o B, mapping it onto an element o C. Thereore, the composite unction maps rom A to C. 22 Composition g A g B C a b c g (a) = b (b) = c ( g(a) ) = c 23 Property o Inverse Function a a b b a We can use this to veriy unctions are inverse b 24 8

9 Eample Find the inverse 3, 3, 2, 7, 2,4, 3,4 3, 3, 7, 2, 4,2, 4,3 25 Drawing Inverse Function 26 Remarks The inverse o a -to- unction is a symmetric with the line y = This can be used to veriy we have correctly ound the inverse o a unction 27 9

10 Finding the Inverse Function ) Veriy is -to- 2) Replace () with y 3) Swap and y 4) Solve or y 5) Replace y with - () 28 Find the inverse 3 This is (translated to right 3 units) is -to- y y y y 3 Eample y3 y Eample Show unctions are inverses 3 g 3 g g

11 Eample Replace g() with y Swap and y Find the inverse y y y g Solve or y y Replace y with g - () y y y y y g y y 3

Example: When describing where a function is increasing, decreasing or constant we use the x- axis values.

Example: When describing where a function is increasing, decreasing or constant we use the x- axis values. Business Calculus Lecture Notes (also Calculus With Applications or Business Math II) Chapter 3 Applications o Derivatives 31 Increasing and Decreasing Functions Inormal Deinition: A unction is increasing

More information

We would now like to turn our attention to a specific family of functions, the one to one functions.

We would now like to turn our attention to a specific family of functions, the one to one functions. 9.6 Inverse Functions We would now like to turn our attention to a speciic amily o unctions, the one to one unctions. Deinition: One to One unction ( a) (b A unction is called - i, or any a and b in the

More information

Math Review and Lessons in Calculus

Math Review and Lessons in Calculus Math Review and Lessons in Calculus Agenda Rules o Eponents Functions Inverses Limits Calculus Rules o Eponents 0 Zero Eponent Rule a * b ab Product Rule * 3 5 a / b a-b Quotient Rule 5 / 3 -a / a Negative

More information

9.3 Graphing Functions by Plotting Points, The Domain and Range of Functions

9.3 Graphing Functions by Plotting Points, The Domain and Range of Functions 9. Graphing Functions by Plotting Points, The Domain and Range o Functions Now that we have a basic idea o what unctions are and how to deal with them, we would like to start talking about the graph o

More information

Basic mathematics of economic models. 3. Maximization

Basic mathematics of economic models. 3. Maximization John Riley 1 January 16 Basic mathematics o economic models 3 Maimization 31 Single variable maimization 1 3 Multi variable maimization 6 33 Concave unctions 9 34 Maimization with non-negativity constraints

More information

Curve Sketching. The process of curve sketching can be performed in the following steps:

Curve Sketching. The process of curve sketching can be performed in the following steps: Curve Sketching So ar you have learned how to ind st and nd derivatives o unctions and use these derivatives to determine where a unction is:. Increasing/decreasing. Relative extrema 3. Concavity 4. Points

More information

( x) f = where P and Q are polynomials.

( x) f = where P and Q are polynomials. 9.8 Graphing Rational Functions Lets begin with a deinition. Deinition: Rational Function A rational unction is a unction o the orm ( ) ( ) ( ) P where P and Q are polynomials. Q An eample o a simple rational

More information

8.4 Inverse Functions

8.4 Inverse Functions Section 8. Inverse Functions 803 8. Inverse Functions As we saw in the last section, in order to solve application problems involving eponential unctions, we will need to be able to solve eponential equations

More information

Texas Geography Portfolio Book

Texas Geography Portfolio Book Texas Geography Portfolio Book Note: All maps must be labeled and colored. Follow directions carefully. Neatness counts! 1. Cover (10 points) Design a cover on the Texas shape and cut out. The cover design

More information

MEAN VALUE THEOREM. Section 3.2 Calculus AP/Dual, Revised /30/2018 1:16 AM 3.2: Mean Value Theorem 1

MEAN VALUE THEOREM. Section 3.2 Calculus AP/Dual, Revised /30/2018 1:16 AM 3.2: Mean Value Theorem 1 MEAN VALUE THEOREM Section 3. Calculus AP/Dual, Revised 017 viet.dang@humbleisd.net 7/30/018 1:16 AM 3.: Mean Value Theorem 1 ACTIVITY A. Draw a curve (x) on a separate sheet o paper within a deined closed

More information

2.1 Sets. Definition 1 A set is an unordered collection of objects. Important sets: N, Z, Z +, Q, R.

2.1 Sets. Definition 1 A set is an unordered collection of objects. Important sets: N, Z, Z +, Q, R. 2. Basic Structures 2.1 Sets Definition 1 A set is an unordered collection of objects. Important sets: N, Z, Z +, Q, R. Definition 2 Objects in a set are called elements or members of the set. A set is

More information

page - 1 Laboratory Exercise #1 - Introduction to Latitude and Longitude Northern Hemisphere Southern Hemisphere

page - 1 Laboratory Exercise #1 - Introduction to Latitude and Longitude Northern Hemisphere Southern Hemisphere page - 1 Laboratory Exercise #1 - Introduction to Latitude and Longitude A. Introduction There are many methods that can be used to locate ones position on the surface of the earth. A common method for

More information

Extreme Values of Functions

Extreme Values of Functions Extreme Values o Functions When we are using mathematics to model the physical world in which we live, we oten express observed physical quantities in terms o variables. Then, unctions are used to describe

More information

Math 216A. A gluing construction of Proj(S)

Math 216A. A gluing construction of Proj(S) Math 216A. A gluing construction o Proj(S) 1. Some basic deinitions Let S = n 0 S n be an N-graded ring (we ollows French terminology here, even though outside o France it is commonly accepted that N does

More information

Asymptote. 2 Problems 2 Methods

Asymptote. 2 Problems 2 Methods Asymptote Problems Methods Problems Assume we have the ollowing transer unction which has a zero at =, a pole at = and a pole at =. We are going to look at two problems: problem is where >> and problem

More information

9.1 The Square Root Function

9.1 The Square Root Function Section 9.1 The Square Root Function 869 9.1 The Square Root Function In this section we turn our attention to the square root unction, the unction deined b the equation () =. (1) We begin the section

More information

Section 3.4: Concavity and the second Derivative Test. Find any points of inflection of the graph of a function.

Section 3.4: Concavity and the second Derivative Test. Find any points of inflection of the graph of a function. Unit 3: Applications o Dierentiation Section 3.4: Concavity and the second Derivative Test Determine intervals on which a unction is concave upward or concave downward. Find any points o inlection o the

More information

Review of Prerequisite Skills for Unit # 2 (Derivatives) U2L2: Sec.2.1 The Derivative Function

Review of Prerequisite Skills for Unit # 2 (Derivatives) U2L2: Sec.2.1 The Derivative Function UL1: Review o Prerequisite Skills or Unit # (Derivatives) Working with the properties o exponents Simpliying radical expressions Finding the slopes o parallel and perpendicular lines Simpliying rational

More information

Sets and Functions. MATH 464/506, Real Analysis. J. Robert Buchanan. Summer Department of Mathematics. J. Robert Buchanan Sets and Functions

Sets and Functions. MATH 464/506, Real Analysis. J. Robert Buchanan. Summer Department of Mathematics. J. Robert Buchanan Sets and Functions Sets and Functions MATH 464/506, Real Analysis J. Robert Buchanan Department of Mathematics Summer 2007 Notation x A means that element x is a member of set A. x / A means that x is not a member of A.

More information

ELEG 3143 Probability & Stochastic Process Ch. 4 Multiple Random Variables

ELEG 3143 Probability & Stochastic Process Ch. 4 Multiple Random Variables Department o Electrical Engineering University o Arkansas ELEG 3143 Probability & Stochastic Process Ch. 4 Multiple Random Variables Dr. Jingxian Wu wuj@uark.edu OUTLINE 2 Two discrete random variables

More information

Review of Functions. Functions. Philippe B. Laval. Current Semester KSU. Philippe B. Laval (KSU) Functions Current Semester 1 / 12

Review of Functions. Functions. Philippe B. Laval. Current Semester KSU. Philippe B. Laval (KSU) Functions Current Semester 1 / 12 Review of Functions Functions Philippe B. Laval KSU Current Semester Philippe B. Laval (KSU) Functions Current Semester 1 / 12 Introduction Students are expected to know the following concepts about functions:

More information

3.5 Graphs of Rational Functions

3.5 Graphs of Rational Functions Math 30 www.timetodare.com Eample Graph the reciprocal unction ( ) 3.5 Graphs o Rational Functions Answer the ollowing questions: a) What is the domain o the unction? b) What is the range o the unction?

More information

Differentiation. The main problem of differential calculus deals with finding the slope of the tangent line at a point on a curve.

Differentiation. The main problem of differential calculus deals with finding the slope of the tangent line at a point on a curve. Dierentiation The main problem o dierential calculus deals with inding the slope o the tangent line at a point on a curve. deinition() : The slope o a curve at a point p is the slope, i it eists, o the

More information

5 FUNCTIONS. 5.1 Definition and Basic Properties. c Dr Oksana Shatalov, Fall

5 FUNCTIONS. 5.1 Definition and Basic Properties. c Dr Oksana Shatalov, Fall c Dr Oksana Shatalov, Fall 2017 1 5 FUNCTIONS 5.1 Definition and Basic Properties DEFINITION 1. Let A and B be nonempty sets. A function f from the set A to the set B is a correspondence that assigns to

More information

9 FUNCTIONS. 9.1 The Definition of Function. c Dr Oksana Shatalov, Fall

9 FUNCTIONS. 9.1 The Definition of Function. c Dr Oksana Shatalov, Fall c Dr Oksana Shatalov, Fall 2018 1 9 FUNCTIONS 9.1 The Definition of Function DEFINITION 1. Let X and Y be nonempty sets. A function f from the set X to the set Y is a correspondence that assigns to each

More information

Review D: Potential Energy and the Conservation of Mechanical Energy

Review D: Potential Energy and the Conservation of Mechanical Energy MSSCHUSETTS INSTITUTE OF TECHNOLOGY Department o Physics 8. Spring 4 Review D: Potential Energy and the Conservation o Mechanical Energy D.1 Conservative and Non-conservative Force... D.1.1 Introduction...

More information

9/21/2018. Properties of Functions. Properties of Functions. Properties of Functions. Properties of Functions. Properties of Functions

9/21/2018. Properties of Functions. Properties of Functions. Properties of Functions. Properties of Functions. Properties of Functions How can we prove that a function f is one-to-one? Whenever you want to prove something, first take a look at the relevant definition(s): x, y A (f(x) = f(y) x = y) f:r R f(x) = x 2 Disproof by counterexample:

More information

Roberto s Notes on Differential Calculus Chapter 8: Graphical analysis Section 1. Extreme points

Roberto s Notes on Differential Calculus Chapter 8: Graphical analysis Section 1. Extreme points Roberto s Notes on Dierential Calculus Chapter 8: Graphical analysis Section 1 Extreme points What you need to know already: How to solve basic algebraic and trigonometric equations. All basic techniques

More information

GENERALIZED ABSTRACT NONSENSE: CATEGORY THEORY AND ADJUNCTIONS

GENERALIZED ABSTRACT NONSENSE: CATEGORY THEORY AND ADJUNCTIONS GENERALIZED ABSTRACT NONSENSE: CATEGORY THEORY AND ADJUNCTIONS CHRIS HENDERSON Abstract. This paper will move through the basics o category theory, eventually deining natural transormations and adjunctions

More information

Saturday X-tra X-Sheet: 8. Inverses and Functions

Saturday X-tra X-Sheet: 8. Inverses and Functions Saturda X-tra X-Sheet: 8 Inverses and Functions Ke Concepts In this session we will ocus on summarising what ou need to know about: How to ind an inverse. How to sketch the inverse o a graph. How to restrict

More information

9/19/2018. Cartesian Product. Cartesian Product. Partitions

9/19/2018. Cartesian Product. Cartesian Product. Partitions Cartesian Product The ordered n-tuple (a 1, a 2, a 3,, a n ) is an ordered collection of objects. Two ordered n-tuples (a 1, a 2, a 3,, a n ) and (b 1, b 2, b 3,, b n ) are equal if and only if they contain

More information

Algebra Review C H A P T E R. To solve an algebraic equation with one variable, find the value of the unknown variable.

Algebra Review C H A P T E R. To solve an algebraic equation with one variable, find the value of the unknown variable. C H A P T E R 6 Algebra Review This chapter reviews key skills and concepts of algebra that you need to know for the SAT. Throughout the chapter are sample questions in the style of SAT questions. Each

More information

Syllabus Objective: 2.9 The student will sketch the graph of a polynomial, radical, or rational function.

Syllabus Objective: 2.9 The student will sketch the graph of a polynomial, radical, or rational function. Precalculus Notes: Unit Polynomial Functions Syllabus Objective:.9 The student will sketch the graph o a polynomial, radical, or rational unction. Polynomial Function: a unction that can be written in

More information

Exponential, Logarithmic and Inverse Functions

Exponential, Logarithmic and Inverse Functions Chapter Review Sec.1 and. Eponential, Logarithmic and Inverse Functions I. Review o Inverrse I Functti ions A. Identiying One-to-One Functions is one-to-one i every element in the range corresponds to

More information

SECTION 1.8 : x = f LEARNING OBJECTIVES

SECTION 1.8 : x = f LEARNING OBJECTIVES SECTION 1.8 : x = f (Section 1.8: x = f ( y) ( y)) 1.8.1 LEARNING OBJECTIVES Know how to graph equations of the form x = f ( y). Compare these graphs with graphs of equations of the form y = f ( x). Recognize

More information

CS100: DISCRETE STRUCTURES

CS100: DISCRETE STRUCTURES 1 CS100: DISCRETE STRUCTURES Computer Science Department Lecture 2: Functions, Sequences, and Sums Ch2.3, Ch2.4 2.3 Function introduction : 2 v Function: task, subroutine, procedure, method, mapping, v

More information

I.G.C.S.E. Matrices and Transformations. You can access the solutions from the end of each question

I.G.C.S.E. Matrices and Transformations. You can access the solutions from the end of each question I.G..S.E. Matrices and Transformations Index: Please click on the question number you want Question 1 Question 2 Question 3 Question 4 Question 5 Question 6 You can access the solutions from the end of

More information

Finite Dimensional Hilbert Spaces are Complete for Dagger Compact Closed Categories (Extended Abstract)

Finite Dimensional Hilbert Spaces are Complete for Dagger Compact Closed Categories (Extended Abstract) Electronic Notes in Theoretical Computer Science 270 (1) (2011) 113 119 www.elsevier.com/locate/entcs Finite Dimensional Hilbert Spaces are Complete or Dagger Compact Closed Categories (Extended bstract)

More information

3 FUNCTIONS. 3.1 Definition and Basic Properties. c Dr Oksana Shatalov, Fall

3 FUNCTIONS. 3.1 Definition and Basic Properties. c Dr Oksana Shatalov, Fall c Dr Oksana Shatalov, Fall 2016 1 3 FUNCTIONS 3.1 Definition and Basic Properties DEFINITION 1. Let A and B be nonempty sets. A function f from the set A to the set B is a correspondence that assigns to

More information

RATIONAL FUNCTIONS. Finding Asymptotes..347 The Domain Finding Intercepts Graphing Rational Functions

RATIONAL FUNCTIONS. Finding Asymptotes..347 The Domain Finding Intercepts Graphing Rational Functions RATIONAL FUNCTIONS Finding Asymptotes..347 The Domain....350 Finding Intercepts.....35 Graphing Rational Functions... 35 345 Objectives The ollowing is a list o objectives or this section o the workbook.

More information

Quadratic and Other Inequalities in One Variable

Quadratic and Other Inequalities in One Variable Quadratic and Other Inequalities in One Variable If a quadratic equation is not in the standard form equaling zero, but rather uses an inequality sign ( , ), the equation is said to be a quadratic

More information

Algebra II Notes Inverse Functions Unit 1.2. Inverse of a Linear Function. Math Background

Algebra II Notes Inverse Functions Unit 1.2. Inverse of a Linear Function. Math Background Algebra II Notes Inverse Functions Unit 1. Inverse o a Linear Function Math Background Previously, you Perormed operations with linear unctions Identiied the domain and range o linear unctions In this

More information

1.2 Functions What is a Function? 1.2. FUNCTIONS 11

1.2 Functions What is a Function? 1.2. FUNCTIONS 11 1.2. FUNCTIONS 11 1.2 Functions 1.2.1 What is a Function? In this section, we only consider functions of one variable. Loosely speaking, a function is a special relation which exists between two variables.

More information

Functions Functions and Modeling A UTeach/TNT Course

Functions Functions and Modeling A UTeach/TNT Course Definition of a Function DEFINITION: Let A and B be sets. A function between A and B is a subset of A B with the property that if (a, b 1 )and(a, b 2 ) are both in the subset, then b 1 = b 2. The domain

More information

The Clifford algebra and the Chevalley map - a computational approach (detailed version 1 ) Darij Grinberg Version 0.6 (3 June 2016). Not proofread!

The Clifford algebra and the Chevalley map - a computational approach (detailed version 1 ) Darij Grinberg Version 0.6 (3 June 2016). Not proofread! The Cliord algebra and the Chevalley map - a computational approach detailed version 1 Darij Grinberg Version 0.6 3 June 2016. Not prooread! 1. Introduction: the Cliord algebra The theory o the Cliord

More information

New Functions from Old Functions

New Functions from Old Functions .3 New Functions rom Old Functions In this section we start with the basic unctions we discussed in Section. and obtain new unctions b shiting, stretching, and relecting their graphs. We also show how

More information

THE GAMMA FUNCTION THU NGỌC DƯƠNG

THE GAMMA FUNCTION THU NGỌC DƯƠNG THE GAMMA FUNCTION THU NGỌC DƯƠNG The Gamma unction was discovered during the search or a actorial analog deined on real numbers. This paper will explore the properties o the actorial unction and use them

More information

Exponential and Logarithmic. Functions CHAPTER The Algebra of Functions; Composite

Exponential and Logarithmic. Functions CHAPTER The Algebra of Functions; Composite CHAPTER 9 Exponential and Logarithmic Functions 9. The Algebra o Functions; Composite Functions 9.2 Inverse Functions 9.3 Exponential Functions 9.4 Exponential Growth and Decay Functions 9.5 Logarithmic

More information

Math 2412 Activity 1(Due by EOC Sep. 17)

Math 2412 Activity 1(Due by EOC Sep. 17) Math 4 Activity (Due by EOC Sep. 7) Determine whether each relation is a unction.(indicate why or why not.) Find the domain and range o each relation.. 4,5, 6,7, 8,8. 5,6, 5,7, 6,6, 6,7 Determine whether

More information

0,0 B 5,0 C 0, 4 3,5. y x. Recitation Worksheet 1A. 1. Plot these points in the xy plane: A

0,0 B 5,0 C 0, 4 3,5. y x. Recitation Worksheet 1A. 1. Plot these points in the xy plane: A Math 13 Recitation Worksheet 1A 1 Plot these points in the y plane: A 0,0 B 5,0 C 0, 4 D 3,5 Without using a calculator, sketch a graph o each o these in the y plane: A y B 3 Consider the unction a Evaluate

More information

Universidad Carlos III de Madrid

Universidad Carlos III de Madrid Universidad Carlos III de Madrid Exercise 3 5 6 Total Points Department de Economics Mathematicas I Final Exam January 0th 07 Exam time: hours. LAST NAME: FIRST NAME: ID: DEGREE: GROUP: () Consider the

More information

Differential Equaitons Equations

Differential Equaitons Equations Welcome to Multivariable Calculus / Dierential Equaitons Equations The Attached Packet is or all students who are planning to take Multibariable Multivariable Calculus/ Dierential Equations in the all.

More information

Section 7.2: One-to-One, Onto and Inverse Functions

Section 7.2: One-to-One, Onto and Inverse Functions Section 7.2: One-to-One, Onto and Inverse Functions In this section we shall developed the elementary notions of one-to-one, onto and inverse functions, similar to that developed in a basic algebra course.

More information

Functions If (x, y 1 ), (x, y 2 ) S, then y 1 = y 2

Functions If (x, y 1 ), (x, y 2 ) S, then y 1 = y 2 Functions 4-3-2008 Definition. A function f from a set X to a set Y is a subset S of the product X Y such that if (, y 1 ), (, y 2 ) S, then y 1 = y 2. Instead of writing (, y) S, you usually write f()

More information

POL502: Foundations. Kosuke Imai Department of Politics, Princeton University. October 10, 2005

POL502: Foundations. Kosuke Imai Department of Politics, Princeton University. October 10, 2005 POL502: Foundations Kosuke Imai Department of Politics, Princeton University October 10, 2005 Our first task is to develop the foundations that are necessary for the materials covered in this course. 1

More information

Calculators are NOT permitted.

Calculators are NOT permitted. THE 0-0 KEESW STTE UIVERSITY HIGH SHOOL THETIS OETITIO RT II In addition to scoring student responses based on whether a solution is correct and complete, consideration will be given to elegance, simplicity,

More information

Objectives. By the time the student is finished with this section of the workbook, he/she should be able

Objectives. By the time the student is finished with this section of the workbook, he/she should be able FUNCTIONS Quadratic Functions......8 Absolute Value Functions.....48 Translations o Functions..57 Radical Functions...61 Eponential Functions...7 Logarithmic Functions......8 Cubic Functions......91 Piece-Wise

More information

MATH1901 Differential Calculus (Advanced)

MATH1901 Differential Calculus (Advanced) MATH1901 Dierential Calculus (Advanced) Capter 3: Functions Deinitions : A B A and B are sets assigns to eac element in A eactl one element in B A is te domain o te unction B is te codomain o te unction

More information

Numerical Methods - Lecture 2. Numerical Methods. Lecture 2. Analysis of errors in numerical methods

Numerical Methods - Lecture 2. Numerical Methods. Lecture 2. Analysis of errors in numerical methods Numerical Methods - Lecture 1 Numerical Methods Lecture. Analysis o errors in numerical methods Numerical Methods - Lecture Why represent numbers in loating point ormat? Eample 1. How a number 56.78 can

More information

This is only a list of questions use a separate sheet to work out the problems. 1. (1.2 and 1.4) Use the given graph to answer each question.

This is only a list of questions use a separate sheet to work out the problems. 1. (1.2 and 1.4) Use the given graph to answer each question. Mth Calculus Practice Eam Questions NOTE: These questions should not be taken as a complete list o possible problems. The are merel intended to be eamples o the diicult level o the regular eam questions.

More information

(So SamID 1 ( ) = Ken W. Smith.)

(So SamID 1 ( ) = Ken W. Smith.) In an earlier lesson, we introduced functions by assigning US citizens a social security number (SSN ) or by assigning students and staff at Sam Houston State University a student ID (SamID) The function

More information

Midterm Exam Solutions February 27, 2009

Midterm Exam Solutions February 27, 2009 Midterm Exam Solutions February 27, 2009 (24. Deine each o the ollowing statements. You may assume that everyone knows the deinition o a topological space and a linear space. (4 a. X is a compact topological

More information

6.1 Inverse Functions. Outline

6.1 Inverse Functions. Outline 6.1 Inverse Functions Tom Lewis Fall Semester 2018 Outline The inverse of a relation One-to-one functions Inverse functions Finding inverse functions The calculus of inverse functions Definition A relation

More information

4) Have you met any functions during our previous lectures in this course?

4) Have you met any functions during our previous lectures in this course? Definition: Let X and Y be sets. A function f from the set X to the set Y is a rule which associates to each element x X a unique element y Y. Notation: f : X Y f defined on X with values in Y. x y y =

More information

Descent on the étale site Wouter Zomervrucht, October 14, 2014

Descent on the étale site Wouter Zomervrucht, October 14, 2014 Descent on the étale site Wouter Zomervrucht, October 14, 2014 We treat two eatures o the étale site: descent o morphisms and descent o quasi-coherent sheaves. All will also be true on the larger pp and

More information

Chapter 3: The Inverse. Function. SHMth1: General Mathematics. Accountancy, Business and Management (ABM) Mr. Migo M. Mendoza

Chapter 3: The Inverse. Function. SHMth1: General Mathematics. Accountancy, Business and Management (ABM) Mr. Migo M. Mendoza Chapter 3: The Inverse Function SHMth1: General Mathematics Accountancy, Business and Management (ABM) Mr. Migo M. Mendoza Chapter 3: The Inverse Function Lecture 11: The One-to-One Correspondence or The

More information

Discrete Mathematics. On the number of graphs with a given endomorphism monoid

Discrete Mathematics. On the number of graphs with a given endomorphism monoid Discrete Mathematics 30 00 376 384 Contents lists available at ScienceDirect Discrete Mathematics journal homepage: www.elsevier.com/locate/disc On the number o graphs with a given endomorphism monoid

More information

SEPARATED AND PROPER MORPHISMS

SEPARATED AND PROPER MORPHISMS SEPARATED AND PROPER MORPHISMS BRIAN OSSERMAN Last quarter, we introduced the closed diagonal condition or a prevariety to be a prevariety, and the universally closed condition or a variety to be complete.

More information

Math 248B. Base change morphisms

Math 248B. Base change morphisms Math 248B. Base change morphisms 1. Motivation A basic operation with shea cohomology is pullback. For a continuous map o topological spaces : X X and an abelian shea F on X with (topological) pullback

More information

Functions as Relations

Functions as Relations Functions as Relations Definition Recall that if A and B are sets, then a relation from A to B is a subset of A B. A function from A to B is a relation f from A to B with the following properties (i) The

More information

. This is the Basic Chain Rule. x dt y dt z dt Chain Rule in this context.

. This is the Basic Chain Rule. x dt y dt z dt Chain Rule in this context. Math 18.0A Gradients, Chain Rule, Implicit Dierentiation, igher Order Derivatives These notes ocus on our things: (a) the application o gradients to ind normal vectors to curves suraces; (b) the generaliation

More information

2.4 COMPOSITE FUNCTIONS INVERSE FUNCTIONS PIECEWISE FUNCTIONS

2.4 COMPOSITE FUNCTIONS INVERSE FUNCTIONS PIECEWISE FUNCTIONS Functions Modeling Change: A Preparation or Calculus, 4th Edition, 011, Connall.4 COMPOSITE FUNCTIONS INVERSE FUNCTIONS PIECEWISE FUNCTIONS Functions Modeling Change: A Preparation or Calculus, 4th Edition,

More information

Categories and Natural Transformations

Categories and Natural Transformations Categories and Natural Transormations Ethan Jerzak 17 August 2007 1 Introduction The motivation or studying Category Theory is to ormalise the underlying similarities between a broad range o mathematical

More information

QUESTION BANK II PUC SCIENCE

QUESTION BANK II PUC SCIENCE QUESTION BANK II PUC SCIENCE I. Very Short answer questions. (x9=9). Define Symmetric relation. Ans: A relation R on the set A is said to be symmetric if for all a, b, A, ar b Implies bra. i.e. (a, b)

More information

NON-AUTONOMOUS INHOMOGENEOUS BOUNDARY CAUCHY PROBLEMS AND RETARDED EQUATIONS. M. Filali and M. Moussi

NON-AUTONOMOUS INHOMOGENEOUS BOUNDARY CAUCHY PROBLEMS AND RETARDED EQUATIONS. M. Filali and M. Moussi Electronic Journal: Southwest Journal o Pure and Applied Mathematics Internet: http://rattler.cameron.edu/swjpam.html ISSN 83-464 Issue 2, December, 23, pp. 26 35. Submitted: December 24, 22. Published:

More information

Category Theory. Course by Dr. Arthur Hughes, Typset by Cathal Ormond

Category Theory. Course by Dr. Arthur Hughes, Typset by Cathal Ormond Category Theory Course by Dr. Arthur Hughes, 2010 Typset by Cathal Ormond Contents 1 Types, Composition and Identities 3 1.1 Programs..................................... 3 1.2 Functional Laws.................................

More information

Mat 241 Homework Set 7key Due Professor David Schultz

Mat 241 Homework Set 7key Due Professor David Schultz Mat 1 Homework Set 7ke Due Proessor David Schultz Directions: Show all algebraic steps neatl and concisel using proper mathematical smbolism. When graphs and technolog are to be implemented, do so appropriatel.

More information

3 FUNCTIONS. 3.1 Definition and Basic Properties. c Dr Oksana Shatalov, Spring

3 FUNCTIONS. 3.1 Definition and Basic Properties. c Dr Oksana Shatalov, Spring c Dr Oksana Shatalov, Spring 2016 1 3 FUNCTIONS 3.1 Definition and Basic Properties DEFINITION 1. Let A and B be nonempty sets. A function f from A to B is a rule that assigns to each element in the set

More information

«Develop a better understanding on Partial fractions»

«Develop a better understanding on Partial fractions» «Develop a better understanding on Partial ractions» ackground inormation: The topic on Partial ractions or decomposing actions is irst introduced in O level dditional Mathematics with its applications

More information

Mathematics Review for Business PhD Students Lecture Notes

Mathematics Review for Business PhD Students Lecture Notes Mathematics Review for Business PhD Students Lecture Notes Anthony M. Marino Department of Finance and Business Economics Marshall School of Business University of Southern California Los Angeles, CA 90089-0804

More information

Section 4.4 Functions. CS 130 Discrete Structures

Section 4.4 Functions. CS 130 Discrete Structures Section 4.4 Functions CS 130 Discrete Structures Function Definitions Let S and T be sets. A function f from S to T, f: S T, is a subset of S x T where each member of S appears exactly once as the first

More information

Chapter 2 Invertible Mappings

Chapter 2 Invertible Mappings Chapter 2 Invertible Mappings 2. Injective, Surjective and Bijective Mappings Given the map f : A B, and I A, theset f (I ) ={f (x) : x I } is called the image of I under f.ifi = A, then f (A) is called

More information

Mathematics Review for Business PhD Students

Mathematics Review for Business PhD Students Mathematics Review for Business PhD Students Anthony M. Marino Department of Finance and Business Economics Marshall School of Business Lecture 1: Introductory Material Sets The Real Number System Functions,

More information

Evaluation of the Dirichlet Integral by a Fourier Transform Method

Evaluation of the Dirichlet Integral by a Fourier Transform Method Academic Forum 3 (3 4 proessional journals and socio-cultural venues including The Old Time Chronicle, The Southern Standard, The Journal o Poetry Therapy and Tales rom the South. Linda lives in the armhouse;

More information

Relations, Functions, and Sequences

Relations, Functions, and Sequences MCS-236: Graph Theory Handout #A3 San Skulrattanakulchai Gustavus Adolphus College Sep 13, 2010 Relations, Functions, and Sequences Relations An ordered pair can be constructed from any two mathematical

More information

Lesson 12: Solving Equations

Lesson 12: Solving Equations Exploratory Exercises 1. Alonzo was correct when he said the following equations had the same solution set. Discuss with your partner why Alonzo was correct. (xx 1)(xx + 3) = 17 + xx (xx 1)(xx + 3) = xx

More information

3 FUNCTIONS. 3.1 Definition and Basic Properties. c Dr Oksana Shatalov, Fall

3 FUNCTIONS. 3.1 Definition and Basic Properties. c Dr Oksana Shatalov, Fall c Dr Oksana Shatalov, Fall 2014 1 3 FUNCTIONS 3.1 Definition and Basic Properties DEFINITION 1. Let A and B be nonempty sets. A function f from A to B is a rule that assigns to each element in the set

More information

Increasing and Decreasing Functions and the First Derivative Test. Increasing and Decreasing Functions. Video

Increasing and Decreasing Functions and the First Derivative Test. Increasing and Decreasing Functions. Video SECTION and Decreasing Functions and the First Derivative Test 79 Section and Decreasing Functions and the First Derivative Test Determine intervals on which a unction is increasing or decreasing Appl

More information

Function Operations. I. Ever since basic math, you have been combining numbers by using addition, subtraction, multiplication, and division.

Function Operations. I. Ever since basic math, you have been combining numbers by using addition, subtraction, multiplication, and division. Function Operations I. Ever since basic math, you have been combining numbers by using addition, subtraction, multiplication, and division. Add: 5 + Subtract: 7 Multiply: (9)(0) Divide: (5) () or 5 II.

More information

IMP 2007 Introductory math course. 5. Optimization. Antonio Farfán Vallespín

IMP 2007 Introductory math course. 5. Optimization. Antonio Farfán Vallespín IMP 007 Introductory math course 5. Optimization Antonio Farán Vallespín Toniaran@hotmail.com Derivatives Why are derivatives so important in economics? Derivatives inorm us o the eect o changes o the

More information

Feedback Linearization

Feedback Linearization Feedback Linearization Peter Al Hokayem and Eduardo Gallestey May 14, 2015 1 Introduction Consider a class o single-input-single-output (SISO) nonlinear systems o the orm ẋ = (x) + g(x)u (1) y = h(x) (2)

More information

CATEGORIES. 1.1 Introduction

CATEGORIES. 1.1 Introduction 1 CATEGORIES 1.1 Introduction What is category theory? As a irst approximation, one could say that category theory is the mathematical study o (abstract) algebras o unctions. Just as group theory is the

More information

Sets, Functions and Relations

Sets, Functions and Relations Chapter 2 Sets, Functions and Relations A set is any collection of distinct objects. Here is some notation for some special sets of numbers: Z denotes the set of integers (whole numbers), that is, Z =

More information

Online Appendix: The Continuous-type Model of Competitive Nonlinear Taxation and Constitutional Choice by Massimo Morelli, Huanxing Yang, and Lixin Ye

Online Appendix: The Continuous-type Model of Competitive Nonlinear Taxation and Constitutional Choice by Massimo Morelli, Huanxing Yang, and Lixin Ye Online Appendix: The Continuous-type Model o Competitive Nonlinear Taxation and Constitutional Choice by Massimo Morelli, Huanxing Yang, and Lixin Ye For robustness check, in this section we extend our

More information

Math-3 Lesson 8-5. Unit 4 review: a) Compositions of functions. b) Linear combinations of functions. c) Inverse Functions. d) Quadratic Inequalities

Math-3 Lesson 8-5. Unit 4 review: a) Compositions of functions. b) Linear combinations of functions. c) Inverse Functions. d) Quadratic Inequalities Math- Lesson 8-5 Unit 4 review: a) Compositions o unctions b) Linear combinations o unctions c) Inverse Functions d) Quadratic Inequalities e) Rational Inequalities 1. Is the ollowing relation a unction

More information

Logarithm of a Function, a Well-Posed Inverse Problem

Logarithm of a Function, a Well-Posed Inverse Problem American Journal o Computational Mathematics, 4, 4, -5 Published Online February 4 (http://www.scirp.org/journal/ajcm http://dx.doi.org/.436/ajcm.4.4 Logarithm o a Function, a Well-Posed Inverse Problem

More information

Section Summary. Definition of a Function.

Section Summary. Definition of a Function. Section 2.3 Section Summary Definition of a Function. Domain, Cdomain Image, Preimage Injection, Surjection, Bijection Inverse Function Function Composition Graphing Functions Floor, Ceiling, Factorial

More information

1036: Probability & Statistics

1036: Probability & Statistics 1036: Probabilit & Statistics Lecture 4 Mathematical pectation Prob. & Stat. Lecture04 - mathematical epectation cwliu@twins.ee.nctu.edu.tw 4-1 Mean o a Random Variable Let be a random variable with probabilit

More information

(C) The rationals and the reals as linearly ordered sets. Contents. 1 The characterizing results

(C) The rationals and the reals as linearly ordered sets. Contents. 1 The characterizing results (C) The rationals and the reals as linearly ordered sets We know that both Q and R are something special. When we think about about either o these we usually view it as a ield, or at least some kind o

More information

INTRODUCTORY MATHEMATICAL ANALYSIS

INTRODUCTORY MATHEMATICAL ANALYSIS INTRODUCTORY MATHEMATICAL ANALYSIS For Business, Economics, and the Lie and Social Sciences Chapter 11 Dierentiation 011 Pearson Education, Inc. Chapter 11: Dierentiation Chapter Objectives To compute

More information