CS100: DISCRETE STRUCTURES

Size: px
Start display at page:

Download "CS100: DISCRETE STRUCTURES"

Transcription

1 1 CS100: DISCRETE STRUCTURES Computer Science Department Lecture 2: Functions, Sequences, and Sums Ch2.3, Ch2.4

2 2.3 Function introduction : 2 v Function: task, subroutine, procedure, method, mapping, v E.g. Find the grades of student x. char findgrades(string name){ } //go to grades array, //find the name, and find the corresponding grades return grades; 17-Feb-17 Computer Science Department

3 2.3 Functions 3 DEFINITION 1 Let A and B to be nonempty sets. a function f from A to B is an assignment of exactly one element of B to each element of A. We write f(a) = b if b is the unique element of B assigned by the function f to the element a of A. If f is a function from A to B, we write f: A B. We can use a formula or a computer program to define a function. Example: f(x) = x + 1 described as: int increasebyone(int x){ x = x + 1; return x; }

4 2.3 Functions 4 DEFINITION 2 If f is a function from A to B, we say that A is the domain of f and B is the Co-domain of f. If f(a) = b, we say that b is the image of a and a is a preimage of b. The range of f is the set of all images of elements of A. Also, if f is a function from A to B, we say that f maps A to B. v For each function, we specify its domain, codomain and the mapping of elements of the domain to elements in the codomain v Two functions are said to be equal if they have the same domain, codomain, and the map elements of their common domain to the same elements of their common codomain v A function is differ by changing its domain, codomain or the mapping of elements

5 Exercise.. 5 What are the domain, codomain, and range of the function that assigns grades to students described in the slide 2? Solution: domain: {Adams, Chou, Goodfriend, Rodriguez, Stevens} codomain: {A, B, C, D, F} range: {A, B, C, F}

6 2.3 Functions - Example 6 v ü Let f be the function that assigns the last two bits of a bit string of length 2 or greater to that string. For example, f (11010) = 10. What is the domain, codomain and range of the function? Solution: the domain of f is the set of all bit strings of length 2 or greater.. and both the codomain and range are the set {00,01,10,11}..

7 2.3 Functions - Example 7 ü What is the domain and codomain of the function : int floor(real float){ }? Solution: domain: the set of real numbers codomain: the set of integer numbers

8 2.3 Functions 8 DEFINITION 3 If f 1 and f 2 be functions from A to R. Then f 1 + f 2 and f 1 f 2 are also functions from A to R defined by (f 1 + f 2 )(x) = f 1 (x) + f 2 (x) (f 1 f 2 ) (x) = f 1 (x) f 2 (x) v Example: Let f 1 and f 2 be functions from R to R such that f 1 (x) =x 2 and f 2 (x) = x x 2. v What are the functions f 1 + f 2 and f 1 f 2? Solution: (f 1 + f 2 )(x) = f 1 (x) + f 2 (x) = x 2 + (x x 2 ) = x (f 1 f 2 ) (x) = f 1 (x) f 2 (x) = x 2 (x x 2 ) = x 3 x 4

9 2.3 Functions One-to-One and Onto Functions 9 DEFINITION 5 A function f is said to be one-to-one, or injective, if and only if f(a) = f(b) implies that a = b for all a and b in the domain of f. A function is said to be an injection if it is one-to-one. (every element in the range is a unique image for element of A all image have at most one arrow or none) " a, b(a b f(a) f(b)) (If it s a different element, it should map to a different value.) Example: Determine whether the function f from {a,b,c,d} to {1,2,3,4,5} with f(a) = 4, f(b) = 5, f(c) = 1 and f(d) = 3 is one-to-one. Solution: Yes.

10 2.3 Functions 10 DEFINITION 7 A function f from A to B is called onto, or surjective, if and only if for every element b ÎB there is an element aîa with f(a) = b. a function f is called a surjection if it is onto. Co-domain = range Example: Let f be the function from {a,b,c,d} to {1,2,3} defined by f(a) = 3, f(b) = 2, f(c) = 1, and f(d) = 3. Is f an onto function? Solution: Yes. Example: Is the function f (x) = x 2 from the set of integers to the set of integers onto? Solution: No. There is no integer x with x 2 = -1, for instance.

11 2.3 Functions 11 DEFINITION 8 The function f is a one-to-one correspondence or a bijection, if it is both oneto-one and onto. One-to-One Not onto Onto Not One-to-One One-to-One And onto bijection Not One-to-One Not onto (Neither) Not Function

12 Exercise.. 12 Determine whether each of these functions is a bijection from R to R. a) f(x) = 2x + 1 b) f(x) = x Yes No c) f(x) = x 3 Yes d) f(x) = (x 2 + I )/(x 2 + 2) No 17-Feb-17 Computer Science Department

13 Exercise.. 13 Why f is not a function from R to R? f(x)= f(0) is not defined f(x)= f(x) is not defined for x<0 f(x)= f(x) is not function because there are two values assigned to each x. 17-Feb-17 Computer Science Department

14 2.3 Functions 14 DEFINITION 9 Let f be a one-to-one correspondence from the set A to the set B. The inverse function of f is the function that assigns to an element b belonging to B the unique element a in A such that f(a) = b. The inverse function of f is denoted by f -1. Hence, f -1 (b)=a when f(a) = b. A one-to-one correspondence is called invertible because we can define an inverse of this function. A function is not invertible if it is not a one-to-one correspondence because the inverse of such function does not exist.

15 2.3 Functions 15 Example: Let f be the function from {a, b, c} to {1, 2, 3} such that f(a) =2, f(b) = 3 and f(c) = 1. Is f invertible? And if it is, what is its inverse? Solution: Yes, it is invertible, because it is a one-to-one correspondence. f -1 (1) = c, f -1 (2) = a, f -1 (3) = b. Exercise: Let f : Z àz be such that f(x) = x+1. Is f invertible? And if it is, what is its inverse? Solution: Yes, it is invertible, because it is a one-to-one correspondence. f -1 (y) = y-1. Exercise: Let f be a function from R to R with f(x) = x 2. Is f invertible? Solution: f is not one-to-one because f(-2) = f(2) = 4. So, it is not one-toone correspondence and hence it is not invertible.

16 2.3 Functions 16 DEFINITION 10 Let g be a function from the set A to the set B, and let f be a function from the set B to the set C. The composition of the functions f and g, denoted by f o g, is defined by: (f o g)(a) = f(g(a))

17 2.3 Functions 17 o f o g is the function that assigns to the element a of A the element assigned by f to g(a). That is, to find (f o g )(a) we: 1. Apply the function g to a to obtain g(a) 2. Then we apply the function f to the result g(a) to obtain (f o g)(a) = f(g(a)) o NOTE: The composition f o g cannot be defined unless the range of g is a subset of the domain of f.

18 2.3 Functions 18 Example: Let g be the function from the set {a, b, c} to itself such that g(a) = b, g(b) = c, and g(c) = a Let f be the function from the set {a, b, c} to the set { l, 2, 3 } such that f(a) = 3, f(b) = 2, and f(c) = 1 What is the composition of f and g, and what is the composition of g and f? Solution: The composition f o g is defined by: (f o g)(a) = f(g(a)) = f(b) =2 (f o g)(b) = f(g(b)) = f(c) =1 (f o g)(c) = f(g(c)) = f(a) = 3 g o f is not defined, because the range of f is not a subset of the domain of g

19 2.3 Functions 19 Example: Let f and g be the functions from the set of integers to the set of integers defined by f(x) = 2x + 3 and g(x) = 3x + 2. What is the composition of f and g? What is the composition of g and f? Solution: Both the compositions f o g and g o f are defined (f o g)(x) = f(g(x)) = f(3x + 2) = 2(3x + 2) + 3 = 6x + 7 (g 0 f)(x) = g(f(x)) = g(2x + 3) = 3(2x + 3) + 2 = 6x + 11.

20 20 v 2.4 Sequences and Summations Sequences A sequence is a discrete structure used to represent an ordered list v Example: 1,2,3,5,8 1,3,9,27,81,,30, DEFINITION 1 a sequence is a function from a subset of the set of integers (usually either the set {0,1,2, } or the set {1,2,3, }) to a set S. We use the notation a n to denote the image of the integer n. We call a n a term of the sequence. We use the notation {a n } to denote the sequence. Example: Consider the sequence {a n }, where a n = 1/n. The list of the terms of this sequence, beginning with a 1, namely a 1, a 2, a 3, a 4,, starts with 1, 1/2, 1/3, 1/4,

21 2.4 Sequences and Summations 21 DEFINITION 2 a geometric progression is a sequence of the form a, ar, ar 2,, ar n, where the initial term a and the common ratio r are real numbers. Example: The following sequence are geometric progressions. {b n } with b n = (-1) n starts with 1, -1, 1, -1, 1, initial term: 1, common ratio: -1 {c n } with c n = 2*5 n starts with 2, 10, 50, 250, 1250, initial term: 2, common ratio: 5 {d n } with d n = 6 *(1/3) n starts with 6,2, 2/3, 2/9, 2/27, initial term: 6, common ratio: 1/3

22 2.4 Sequences and Summations 22 DEFINITION 3 A arithmetic progression is a sequence of the form a, a + d, a + 2d,, a + nd, where the initial term a and the common difference d are real numbers. Example: The following sequence are arithmetic progressions. {s n } with s n = n starts with -1, 3, 7, 11, initial term: -1, common difference: 4 {t n } with t n = 7 3n starts with 7, 4, 1, -2, initial term: 7, common difference: -3

23 2.4 Sequences and Summations 23 Example : Find formulae for the sequences with the following first five terms (a). 1, 1/2, 1/4, 1/8, 1/16 Solution: a n = 1/2 n (b). 1, 3, 5, 7, 9 Solution: a n = (2n )+ 1 (c). 1, -1, 1, -1, 1 Solution: a n = (-1) n

24 Exercises 24 Find the formula of this sequence and find A6, A8 : A = 10, 14, 18, 22, 26 It is arithmetic sequence, initial term a= 20, common difference d= 4, a n =10+4n A 6 = 34, A 8 = 42

25 Exercises 25 A = 4, 8, 16, 32 It is geometric sequence, initial term = 4, common ratio = 2, a n =4*2 n A 6 = 256, A 8 = 1024

26 Exercises 26 o in a geometric sequence a 0 was =3 and r =1/2 then a 3 is equal to a. 3/16 b. 3/4 c. 3/2 d. 3/8 In an arithmetic sequence a 0 was =7 and a 3 was 19 the value of a 2 is= a.14 b.11 c.15 d.23

27 2.4 Sequences and Summations Summations 27 v The sum of the terms from the sequence a m + a m+1,, a n can be expressed as n å j= m n a j å j = m, Or a å j 1 j n a j Where m is the lower limit, n is the upper limit, and j is the index of the summation Example: Express the sum of the first 100 terms of the sequence {a n }, where an = 1/n for n = 1,2,3,. Solution: 100 å j= 1 1 j

28 2.4 Sequences and Summations 28 5 å = What is the value of j 1? Solution: 5 å j = 1 j 2 = = 55 j 2 Expressed with a for loop: int sum = 0; for (int i =1; i <=5; i++) { sum = sum + i * i ; }

29 2.4 Sequences and Summations 29 What is the value of the double summation ij? Solution: 4 3 åå i= 1 j= 1 ij = 4 å i= 1 4 å ( i + 2i + 3i) = 6i = = 60 i= åå i= 1 j= 1

30 Sequences and Summations 30 Expressed with two for loops: Solution: int sum1 = 0; int sum2 = 0; for (int i =1; i <=4; i ++){ sum2 = 0; for (int j=1; j<=3; j++){ sum2 = sum2 + i *j; } sum1 = sum1 + sum2; }

31 Exercises 31 Write ( notation. ) using sigma Solution: $! k # %&' 17-Feb-17 Computer Science Department

32 ANY QUESTIONS?? 32 Refer to chapter 2 of the book for further reading

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

Section Summary. Definition of a Function.

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

More information

Func%ons. function f to the element a of A. Functions are sometimes called mappings or transformations.

Func%ons. function f to the element a of A. Functions are sometimes called mappings or transformations. Section 2.3 Func%ons Definition: Let A and B be nonempty sets. A function f from A to B, denoted f: A B is an assignment of each element of A to exactly one element of B. We write f(a) = b if b is the

More information

Sec$on Summary. Definition of a Function.

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

More information

Chapter Summary. Sets The Language of Sets Set Operations Set Identities Functions Types of Functions Operations on Functions Computability

Chapter Summary. Sets The Language of Sets Set Operations Set Identities Functions Types of Functions Operations on Functions Computability Chapter 2 1 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

More information

Functions. Given a function f: A B:

Functions. Given a function f: A B: Functions Given a function f: A B: We say f maps A to B or f is a mapping from A to B. A is called the domain of f. B is called the codomain of f. If f(a) = b, then b is called the image of a under f.

More information

Chapter Summary. Sets (2.1) Set Operations (2.2) Functions (2.3) Sequences and Summations (2.4) Cardinality of Sets (2.5) Matrices (2.

Chapter Summary. Sets (2.1) Set Operations (2.2) Functions (2.3) Sequences and Summations (2.4) Cardinality of Sets (2.5) Matrices (2. Chapter 2 Chapter Summary Sets (2.1) Set Operations (2.2) Functions (2.3) Sequences and Summations (2.4) Cardinality of Sets (2.5) Matrices (2.6) Section 2.1 Section Summary Definition of sets Describing

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

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

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

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

Today s Topics. Methods of proof Relationships to logical equivalences. Important definitions Relationships to sets, relations Special functions

Today s Topics. Methods of proof Relationships to logical equivalences. Important definitions Relationships to sets, relations Special functions Today s Topics Set identities Methods of proof Relationships to logical equivalences Functions Important definitions Relationships to sets, relations Special functions Set identities help us manipulate

More information

9/21/17. Functions. CS 220: Discrete Structures and their Applications. Functions. Chapter 5 in zybooks. definition. definition

9/21/17. Functions. CS 220: Discrete Structures and their Applications. Functions. Chapter 5 in zybooks. definition. definition Functions CS 220: Discrete Structures and their Applications Functions Chapter 5 in zybooks A function maps elements from one set X to elements of another set Y. A B Brian C Drew range: {A, B, D} Alan

More information

1. Decide for each of the following expressions: Is it a function? If so, f is a function. (i) Domain: R. Codomain: R. Range: R. (iii) Yes surjective.

1. Decide for each of the following expressions: Is it a function? If so, f is a function. (i) Domain: R. Codomain: R. Range: R. (iii) Yes surjective. Homework 2 2/14/2018 SOLUTIONS Exercise 6. 1. Decide for each of the following expressions: Is it a function? If so, (i) what is its domain, codomain, and image? (iii) is it surjective? (ii) is it injective?

More information

CS 220: Discrete Structures and their Applications. Functions Chapter 5 in zybooks

CS 220: Discrete Structures and their Applications. Functions Chapter 5 in zybooks CS 220: Discrete Structures and their Applications Functions Chapter 5 in zybooks Functions A function maps elements from one set X to elements of another set Y. A Brian Drew Alan Ben B C D F range: {A,

More information

Notes. Functions. Introduction. Notes. Notes. Definition Function. Definition. Slides by Christopher M. Bourke Instructor: Berthe Y.

Notes. Functions. Introduction. Notes. Notes. Definition Function. Definition. Slides by Christopher M. Bourke Instructor: Berthe Y. Functions Slides by Christopher M. Bourke Instructor: Berthe Y. Choueiry Fall 2007 Computer Science & Engineering 235 Introduction to Discrete Mathematics Section 2.3 of Rosen cse235@cse.unl.edu Introduction

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

Introduction to Decision Sciences Lecture 6

Introduction to Decision Sciences Lecture 6 Introduction to Decision Sciences Lecture 6 Andrew Nobel September 21, 2017 Functions Functions Given: Sets A and B, possibly different Definition: A function f : A B is a rule that assigns every element

More information

Selected problems from past exams

Selected problems from past exams Discrete Structures CS2800 Prelim 1 s Selected problems from past exams 1. True/false. For each of the following statements, indicate whether the statement is true or false. Give a one or two sentence

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

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

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

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

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

Solutions to Homework Problems

Solutions to Homework Problems Solutions to Homework Problems November 11, 2017 1 Problems II: Sets and Functions (Page 117-118) 11. Give a proof or a counterexample of the following statements: (vi) x R, y R, xy 0; (x) ( x R, y R,

More information

Week Some Warm-up Questions

Week Some Warm-up Questions 1 Some Warm-up Questions Week 1-2 Abstraction: The process going from specific cases to general problem. Proof: A sequence of arguments to show certain conclusion to be true. If... then... : The part after

More information

SETS AND FUNCTIONS JOSHUA BALLEW

SETS AND FUNCTIONS JOSHUA BALLEW SETS AND FUNCTIONS JOSHUA BALLEW 1. Sets As a review, we begin by considering a naive look at set theory. For our purposes, we define a set as a collection of objects. Except for certain sets like N, Z,

More information

Sets. We discuss an informal (naive) set theory as needed in Computer Science. It was introduced by G. Cantor in the second half of the nineteenth

Sets. We discuss an informal (naive) set theory as needed in Computer Science. It was introduced by G. Cantor in the second half of the nineteenth Sets We discuss an informal (naive) set theory as needed in Computer Science. It was introduced by G. Cantor in the second half of the nineteenth century. Most students have seen sets before. This is intended

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

0 Sets and Induction. Sets

0 Sets and Induction. Sets 0 Sets and Induction Sets A set is an unordered collection of objects, called elements or members of the set. A set is said to contain its elements. We write a A to denote that a is an element of the set

More information

CSE 20 DISCRETE MATH. Fall

CSE 20 DISCRETE MATH. Fall CSE 20 DISCRETE MATH Fall 2017 http://cseweb.ucsd.edu/classes/fa17/cse20-ab/ Today's learning goals Define and compute the cardinality of a set. Use functions to compare the sizes of sets. Classify sets

More information

RELATIONS AND FUNCTIONS

RELATIONS AND FUNCTIONS For more important questions visit : www.4ono.com CHAPTER 1 RELATIONS AND FUNCTIONS IMPORTANT POINTS TO REMEMBER Relation R from a set A to a set B is subset of A B. A B = {(a, b) : a A, b B}. If n(a)

More information

Chapter 2 - Basics Structures MATH 213. Chapter 2: Basic Structures. Dr. Eric Bancroft. Fall Dr. Eric Bancroft MATH 213 Fall / 60

Chapter 2 - Basics Structures MATH 213. Chapter 2: Basic Structures. Dr. Eric Bancroft. Fall Dr. Eric Bancroft MATH 213 Fall / 60 MATH 213 Chapter 2: Basic Structures Dr. Eric Bancroft Fall 2013 Dr. Eric Bancroft MATH 213 Fall 2013 1 / 60 Chapter 2 - Basics Structures 2.1 - Sets 2.2 - Set Operations 2.3 - Functions 2.4 - Sequences

More information

Discussion Summary 10/16/2018

Discussion Summary 10/16/2018 Discussion Summary 10/16/018 1 Quiz 4 1.1 Q1 Let r R and r > 1. Prove the following by induction for every n N, assuming that 0 N as in the book. r 1 + r + r 3 + + r n = rn+1 r r 1 Proof. Let S n = Σ n

More information

Functions. Definition 1 Let A and B be sets. A relation between A and B is any subset of A B.

Functions. Definition 1 Let A and B be sets. A relation between A and B is any subset of A B. Chapter 4 Functions Definition 1 Let A and B be sets. A relation between A and B is any subset of A B. Definition 2 Let A and B be sets. A function from A to B is a relation f between A and B such that

More information

Chapter 2 - Basics Structures

Chapter 2 - Basics Structures Chapter 2 - Basics Structures 2.1 - Sets Definitions and Notation Definition 1 (Set). A set is an of. These are called the or of the set. We ll typically use uppercase letters to denote sets: S, A, B,...

More information

Cartesian Products and Relations

Cartesian Products and Relations Cartesian Products and Relations Definition (Cartesian product) If A and B are sets, the Cartesian product of A and B is the set A B = {(a, b) : (a A) and (b B)}. The following points are worth special

More information

cse303 ELEMENTS OF THE THEORY OF COMPUTATION Professor Anita Wasilewska

cse303 ELEMENTS OF THE THEORY OF COMPUTATION Professor Anita Wasilewska cse303 ELEMENTS OF THE THEORY OF COMPUTATION Professor Anita Wasilewska LECTURE 1 Course Web Page www3.cs.stonybrook.edu/ cse303 The webpage contains: lectures notes slides; very detailed solutions to

More information

Inverse Functions. One-to-one. Horizontal line test. Onto

Inverse Functions. One-to-one. Horizontal line test. Onto Inverse Functions One-to-one Suppose f : A B is a function. We call f one-to-one if every distinct pair of objects in A is assigned to a distinct pair of objects in B. In other words, each object of the

More information

Discrete Structures for Computer Science

Discrete Structures for Computer Science Discrete Structures for Computer Science William Garrison bill@cs.pitt.edu 6311 Sennott Square Lecture #10: Sequences and Summations Based on materials developed by Dr. Adam Lee Today s Topics Sequences

More information

Review Problems for Midterm Exam II MTH 299 Spring n(n + 1) 2. = 1. So assume there is some k 1 for which

Review Problems for Midterm Exam II MTH 299 Spring n(n + 1) 2. = 1. So assume there is some k 1 for which Review Problems for Midterm Exam II MTH 99 Spring 014 1. Use induction to prove that for all n N. 1 + 3 + + + n(n + 1) = n(n + 1)(n + ) Solution: This statement is obviously true for n = 1 since 1()(3)

More information

Caculus 221. Possible questions for Exam II. March 19, 2002

Caculus 221. Possible questions for Exam II. March 19, 2002 Caculus 221 Possible questions for Exam II March 19, 2002 These notes cover the recent material in a style more like the lecture than the book. The proofs in the book are in section 1-11. At the end there

More information

Countable and uncountable sets. Matrices.

Countable and uncountable sets. Matrices. Lecture 11 Countable and uncountable sets. Matrices. Instructor: Kangil Kim (CSE) E-mail: kikim01@konkuk.ac.kr Tel. : 02-450-3493 Room : New Milenium Bldg. 1103 Lab : New Engineering Bldg. 1202 Next topic:

More information

4.1 Real-valued functions of a real variable

4.1 Real-valued functions of a real variable Chapter 4 Functions When introducing relations from a set A to a set B we drew an analogy with co-ordinates in the x-y plane. Instead of coming from R, the first component of an ordered pair comes from

More information

General Notation. Exercises and Problems

General Notation. Exercises and Problems Exercises and Problems The text contains both Exercises and Problems. The exercises are incorporated into the development of the theory in each section. Additional Problems appear at the end of most sections.

More information

CSE 20 DISCRETE MATH WINTER

CSE 20 DISCRETE MATH WINTER CSE 20 DISCRETE MATH WINTER 2016 http://cseweb.ucsd.edu/classes/wi16/cse20-ab/ Today's learning goals Explain the steps in a proof by (strong) mathematical induction Use (strong) mathematical induction

More information

Sets and Functions. (As we will see, in describing a set the order in which elements are listed is irrelevant).

Sets and Functions. (As we will see, in describing a set the order in which elements are listed is irrelevant). Sets and Functions 1. The language of sets Informally, a set is any collection of objects. The objects may be mathematical objects such as numbers, functions and even sets, or letters or symbols of any

More information

Real Analysis. Joe Patten August 12, 2018

Real Analysis. Joe Patten August 12, 2018 Real Analysis Joe Patten August 12, 2018 1 Relations and Functions 1.1 Relations A (binary) relation, R, from set A to set B is a subset of A B. Since R is a subset of A B, it is a set of ordered pairs.

More information

Practice Exam 1 CIS/CSE 607, Spring 2009

Practice Exam 1 CIS/CSE 607, Spring 2009 Practice Exam 1 CIS/CSE 607, Spring 2009 Problem 1) Let R be a reflexive binary relation on a set A. Prove that R is transitive if, and only if, R = R R. Problem 2) Give an example of a transitive binary

More information

INFINITY.THINK BEYOND.

INFINITY.THINK BEYOND. RELATIONS & FUNCTIONS SCHEMATIC DIAGRAM Topic Concepts Degree of importance References NCERT Text Book XII Ed. 007 Relations & (i).domain, Co domain & * (Previous Knowledge) Functions Range of a relation

More information

CSCE 222 Discrete Structures for Computing

CSCE 222 Discrete Structures for Computing CSCE 222 Discrete Structures for Computing Sets and Functions Dr. Hyunyoung Lee Based on slides by Andreas Klappenecker 1 Sets Sets are the most fundamental discrete structure on which all other discrete

More information

LESSON RELATIONS & FUNCTION THEORY

LESSON RELATIONS & FUNCTION THEORY 2 Definitions LESSON RELATIONS & FUNCTION THEORY Ordered Pair Ordered pair of elements taken from any two sets P and Q is a pair of elements written in small brackets and grouped together in a particular

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

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

Discrete dynamics on the real line

Discrete dynamics on the real line Chapter 2 Discrete dynamics on the real line We consider the discrete time dynamical system x n+1 = f(x n ) for a continuous map f : R R. Definitions The forward orbit of x 0 is: O + (x 0 ) = {x 0, f(x

More information

CIS 375 Intro to Discrete Mathematics Exam 2 (Section M001: Yellow) 10 November Points Possible

CIS 375 Intro to Discrete Mathematics Exam 2 (Section M001: Yellow) 10 November Points Possible Name: CIS 375 Intro to Discrete Mathematics Exam 2 (Section M001: Yellow) 10 November 2016 Question Points Possible Points Received 1 20 2 12 3 14 4 10 5 8 6 12 7 12 8 12 Total 100 Instructions: 1. This

More information

ICS141: Discrete Mathematics for Computer Science I

ICS141: Discrete Mathematics for Computer Science I ICS141: Discrete Mathematics for Computer Science I Dept. Information & Computer Sci., Jan Stelovsky based on slides by Dr. Baek and Dr. Still Originals by Dr. M. P. Frank and Dr. J.L. Gross Provided by

More information

MATH 220 (all sections) Homework #12 not to be turned in posted Friday, November 24, 2017

MATH 220 (all sections) Homework #12 not to be turned in posted Friday, November 24, 2017 MATH 220 (all sections) Homework #12 not to be turned in posted Friday, November 24, 2017 Definition: A set A is finite if there exists a nonnegative integer c such that there exists a bijection from A

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

Intro to Theory of Computation

Intro to Theory of Computation Intro to Theory of Computation LECTURE 15 Last time Decidable languages Designing deciders Today Designing deciders Undecidable languages Diagonalization Sofya Raskhodnikova 3/1/2016 Sofya Raskhodnikova;

More information

Math 300 Introduction to Mathematical Reasoning Autumn 2017 Inverse Functions

Math 300 Introduction to Mathematical Reasoning Autumn 2017 Inverse Functions Math 300 Introduction to Mathematical Reasoning Autumn 2017 Inverse Functions Please read this pdf in place of Section 6.5 in the text. The text uses the term inverse of a function and the notation f 1

More information

CLASS12 RELATIONS AND FUNCTIONS

CLASS12 RELATIONS AND FUNCTIONS CLASS12 RELATIONS AND FUNCTIONS Deepak sir 9811291604 Relations and functions, domain, co-domain and range have been introduced in Class XI along with different types of specific real valued functions

More information

Introduction to Functions

Introduction to Functions Mathematics for Economists Introduction to Functions Introduction In economics we study the relationship between variables and attempt to explain these relationships through economic theory. For instance

More information

Functions of Several Variables (Rudin)

Functions of Several Variables (Rudin) Functions of Several Variables (Rudin) Definition: Let X and Y be finite-dimensional real vector spaces. Then L(X, Y ) denotes the set of all linear transformations from X to Y and L(X) denotes the set

More information

Sets & Functions. x A. 7 Z, 2/3 Z, Z pow(r) Examples: {7, Albert R., π/2, T} x is a member of A: x A

Sets & Functions. x A. 7 Z, 2/3 Z, Z pow(r) Examples: {7, Albert R., π/2, T} x is a member of A: x A Mathematics for Computer Science MIT 6.042J/18.062J Sets & Functions What is a Set? Informally: set is a collection of mathematical objects, with the collection treated as a single mathematical object.

More information

Section Summary. Sequences. Recurrence Relations. Summations. Examples: Geometric Progression, Arithmetic Progression. Example: Fibonacci Sequence

Section Summary. Sequences. Recurrence Relations. Summations. Examples: Geometric Progression, Arithmetic Progression. Example: Fibonacci Sequence Section 2.4 1 Section Summary Sequences. Examples: Geometric Progression, Arithmetic Progression Recurrence Relations Example: Fibonacci Sequence Summations 2 Introduction Sequences are ordered lists of

More information

Countable and uncountable sets. Matrices.

Countable and uncountable sets. Matrices. CS 441 Discrete Mathematics for CS Lecture 11 Countable and uncountable sets. Matrices. Milos Hauskrecht milos@cs.pitt.edu 5329 Sennott Square Arithmetic series Definition: The sum of the terms of the

More information

Relations, Functions, Binary Relations (Chapter 1, Sections 1.2, 1.3)

Relations, Functions, Binary Relations (Chapter 1, Sections 1.2, 1.3) Relations, Functions, Binary Relations (Chapter 1, Sections 1.2, 1.3) CmSc 365 Theory of Computation 1. Relations Definition: Let A and B be two sets. A relation R from A to B is any set of ordered pairs

More information

QF101: Quantitative Finance August 22, Week 1: Functions. Facilitator: Christopher Ting AY 2017/2018

QF101: Quantitative Finance August 22, Week 1: Functions. Facilitator: Christopher Ting AY 2017/2018 QF101: Quantitative Finance August 22, 2017 Week 1: Functions Facilitator: Christopher Ting AY 2017/2018 The chief function of the body is to carry the brain around. Thomas A. Edison 1.1 What is a function?

More information

COM S 330 Homework 05 Solutions. Type your answers to the following questions and submit a PDF file to Blackboard. One page per problem.

COM S 330 Homework 05 Solutions. Type your answers to the following questions and submit a PDF file to Blackboard. One page per problem. Type your answers to the following questions and submit a PDF file to Blackboard. One page per problem. Problem 1. [5pts] Consider our definitions of Z, Q, R, and C. Recall that A B means A is a subset

More information

Foundations of Mathematics MATH 220 FALL 2017 Lecture Notes

Foundations of Mathematics MATH 220 FALL 2017 Lecture Notes Foundations of Mathematics MATH 220 FALL 2017 Lecture Notes These notes form a brief summary of what has been covered during the lectures. All the definitions must be memorized and understood. Statements

More information

Functions and cardinality (solutions) sections A and F TA: Clive Newstead 6 th May 2014

Functions and cardinality (solutions) sections A and F TA: Clive Newstead 6 th May 2014 Functions and cardinality (solutions) 21-127 sections A and F TA: Clive Newstead 6 th May 2014 What follows is a somewhat hastily written collection of solutions for my review sheet. I have omitted some

More information

(a) We need to prove that is reflexive, symmetric and transitive. 2b + a = 3a + 3b (2a + b) = 3a + 3b 3k = 3(a + b k)

(a) We need to prove that is reflexive, symmetric and transitive. 2b + a = 3a + 3b (2a + b) = 3a + 3b 3k = 3(a + b k) MATH 111 Optional Exam 3 lutions 1. (0 pts) We define a relation on Z as follows: a b if a + b is divisible by 3. (a) (1 pts) Prove that is an equivalence relation. (b) (8 pts) Determine all equivalence

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

and problem sheet 6

and problem sheet 6 2-28 and 5-5 problem sheet 6 Solutions to the following seven exercises and optional bonus problem are to be submitted through gradescope by 2:0AM on Thursday 9th October 207. There are also some practice

More information

CS Discrete Mathematics Dr. D. Manivannan (Mani)

CS Discrete Mathematics Dr. D. Manivannan (Mani) CS 275 - Discrete Mathematics Dr. D. Manivannan (Mani) Department of Computer Science University of Kentucky Lexington, KY 40506 Course Website: www.cs.uky.edu/~manivann/cs275 Notes based on Discrete Mathematics

More information

MODEL ANSWERS TO THE SEVENTH HOMEWORK. (b) We proved in homework six, question 2 (c) that. But we also proved homework six, question 2 (a) that

MODEL ANSWERS TO THE SEVENTH HOMEWORK. (b) We proved in homework six, question 2 (c) that. But we also proved homework six, question 2 (a) that MODEL ANSWERS TO THE SEVENTH HOMEWORK 1. Let X be a finite set, and let A, B and A 1, A 2,..., A n be subsets of X. Let A c = X \ A denote the complement. (a) χ A (x) = A. x X (b) We proved in homework

More information

Theorem. For every positive integer n, the sum of the positive integers from 1 to n is n(n+1)

Theorem. For every positive integer n, the sum of the positive integers from 1 to n is n(n+1) Week 1: Logic Lecture 1, 8/1 (Sections 1.1 and 1.3) Examples of theorems and proofs Theorem (Pythagoras). Let ABC be a right triangle, with legs of lengths a and b, and hypotenuse of length c. Then a +

More information

We could express the left side as a sum of vectors and obtain the Vector Form of a Linear System: a 12 a x n. a m2

We could express the left side as a sum of vectors and obtain the Vector Form of a Linear System: a 12 a x n. a m2 Week 22 Equations, Matrices and Transformations Coefficient Matrix and Vector Forms of a Linear System Suppose we have a system of m linear equations in n unknowns a 11 x 1 + a 12 x 2 + + a 1n x n b 1

More information

RED. Name: Math 290 Fall 2016 Sample Exam 3

RED. Name: Math 290 Fall 2016 Sample Exam 3 RED Name: Math 290 Fall 2016 Sample Exam 3 Note that the first 10 questions are true false. Mark A for true, B for false. Questions 11 through 20 are multiple choice. Mark the correct answer on your ule

More information

REVIEW FOR THIRD 3200 MIDTERM

REVIEW FOR THIRD 3200 MIDTERM REVIEW FOR THIRD 3200 MIDTERM PETE L. CLARK 1) Show that for all integers n 2 we have 1 3 +... + (n 1) 3 < 1 n < 1 3 +... + n 3. Solution: We go by induction on n. Base Case (n = 2): We have (2 1) 3 =

More information

Math 42, Discrete Mathematics

Math 42, Discrete Mathematics c Fall 2018 last updated 10/10/2018 at 23:28:03 For use by students in this class only; all rights reserved. Note: some prose & some tables are taken directly from Kenneth R. Rosen, and Its Applications,

More information

Day 15. Tuesday June 12, 2012

Day 15. Tuesday June 12, 2012 Day 15 Tuesday June 12, 2012 1 Properties of Function So far we have talked about different things we can talk about with respect to a function. So far if f : A B we have the following features: A domain:

More information

Introduction to Proofs

Introduction to Proofs Introduction to Proofs Notes by Dr. Lynne H. Walling and Dr. Steffi Zegowitz September 018 The Introduction to Proofs course is organised into the following nine sections. 1. Introduction: sets and functions

More information

RED. Fall 2016 Student Submitted Sample Questions

RED. Fall 2016 Student Submitted Sample Questions RED Fall 2016 Student Submitted Sample Questions Name: Last Update: November 22, 2016 The questions are divided into three sections: True-false, Multiple Choice, and Written Answer. I will add questions

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

Finite and Infinite Sets

Finite and Infinite Sets Chapter 9 Finite and Infinite Sets 9. Finite Sets Preview Activity (Equivalent Sets, Part ). Let A and B be sets and let f be a function from A to B..f W A! B/. Carefully complete each of the following

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

MATH 201 Solutions: TEST 3-A (in class)

MATH 201 Solutions: TEST 3-A (in class) MATH 201 Solutions: TEST 3-A (in class) (revised) God created infinity, and man, unable to understand infinity, had to invent finite sets. - Gian Carlo Rota Part I [5 pts each] 1. Let X be a set. Define

More information

Number Axioms. P. Danziger. A Group is a set S together with a binary operation (*) on S, denoted a b such that for all a, b. a b S.

Number Axioms. P. Danziger. A Group is a set S together with a binary operation (*) on S, denoted a b such that for all a, b. a b S. Appendix A Number Axioms P. Danziger 1 Number Axioms 1.1 Groups Definition 1 A Group is a set S together with a binary operation (*) on S, denoted a b such that for all a, b and c S 0. (Closure) 1. (Associativity)

More information

Discrete Mathematics: Lectures 6 and 7 Sets, Relations, Functions and Counting Instructor: Arijit Bishnu Date: August 4 and 6, 2009

Discrete Mathematics: Lectures 6 and 7 Sets, Relations, Functions and Counting Instructor: Arijit Bishnu Date: August 4 and 6, 2009 Discrete Mathematics: Lectures 6 and 7 Sets, Relations, Functions and Counting Instructor: Arijit Bishnu Date: August 4 and 6, 2009 Our main goal is here is to do counting using functions. For that, we

More information

2 Functions. 2.1 What is a function?

2 Functions. 2.1 What is a function? Functions After working through this section, you should be able to: (a) determine the image of a given function; (b) determine whether a given function is one-one and/or onto; (c) find the inverse of

More information

Chapter 1 : The language of mathematics.

Chapter 1 : The language of mathematics. MAT 200, Logic, Language and Proof, Fall 2015 Summary Chapter 1 : The language of mathematics. Definition. A proposition is a sentence which is either true or false. Truth table for the connective or :

More information

Undecidability. Andreas Klappenecker. [based on slides by Prof. Welch]

Undecidability. Andreas Klappenecker. [based on slides by Prof. Welch] Undecidability Andreas Klappenecker [based on slides by Prof. Welch] 1 Sources Theory of Computing, A Gentle Introduction, by E. Kinber and C. Smith, Prentice-Hall, 2001 Automata Theory, Languages and

More information

Propositional Logic, Predicates, and Equivalence

Propositional Logic, Predicates, and Equivalence Chapter 1 Propositional Logic, Predicates, and Equivalence A statement or a proposition is a sentence that is true (T) or false (F) but not both. The symbol denotes not, denotes and, and denotes or. If

More information

Numbers, sets, and functions

Numbers, sets, and functions Chapter 1 Numbers, sets, and functions 1.1. The natural numbers, integers, and rational numbers We assume that you are familiar with the set of natural numbers the set of integers and the set of rational

More information

CHAPTER 7 FUNCTIONS. Alessandro Artale UniBZ - artale/

CHAPTER 7 FUNCTIONS. Alessandro Artale UniBZ -   artale/ CHAPTER 7 FUNCTIONS Alessandro Artale UniBZ - http://www.inf.unibz.it/ artale/ SECTION 7.1 Functions Defined on General Sets Copyright Cengage Learning. All rights reserved. Functions Defined on General

More information

MATH 215 DISCRETE MATHEMATICS INSTRUCTOR: P. WENG

MATH 215 DISCRETE MATHEMATICS INSTRUCTOR: P. WENG MATH 215 DISCRETE MATHEMATICS INSTRUCTOR: P. WENG Suggested Problems for Sets and Functions The following problems are from Discrete Mathematics and Its Applications by Kenneth H. Rosen. 1. Define the

More information

Relationships between elements of sets occur in many contexts. Every day we deal with

Relationships between elements of sets occur in many contexts. Every day we deal with C H A P T E R 9 Relations 9.1 Relations and Their Properties 9.2 n-ary Relations and Their Applications 9.3 Representing Relations 9.4 Closures of Relations 9.5 Equivalence Relations 9.6 Partial Orderings

More information