SlideShare a Scribd company logo
Relations - 08                                                               CSC1001 Discrete Mathematics             1

 CHAPTER
                                                           ความสัมพันธ์
       8                                                    (Relations)

  1       Relations and Their Properties
1. Relation Deffinitions
   The most direct way to express a relationship between elements of two sets is to use ordered pairs made
up of two related elements.
  Definition 1

 Let A and B be sets. A binary relation from A to B is a subset of A × B.

Example 1 (2 points) Let A = {0, 1, 2} and B = {a, b}. Then {(0, a), (0, b), (1, a), (2, b)} is a relation from A to B.
This means, for instance, that 0 R a, but that 1 not R b. Relations can be represented graphically using arrows
to represent ordered pairs. Another way to represent this relation is to use a table.




Example 2 (2 points) Let A be the set of cities in the ASEAN, and let B be the set of countries in the ASEAN
as follow list;
A = { Bangkok, Johor, Manila, Kuala Lumpur, Hanoi, Phuket, Penang, Naypyidaw, Ho Chi Minh, Chiang Mai }
B = { Malaysia, Thailand, Philippines, Vietnam, Myanmar }
Find the relations from A to B.




Example 3 (2 points) Let A = { 0, 1, 4 } is domain of f(x) and B = { -2, -1, 0, 1, 2 } is range of f(x), find the
relations from A to B, if given f(x) = x .




มหาวิทยาลัยราชภัฏสวนส ุนันทา (ภาคการศึกษาที่ 2/2555)                                     เรียบเรียงโดย อ.วงศ์ยศ เกิดศรี
2         CSC1001 Discrete Mathematics                                                                  08 - Relations


2. Relations on a Set
    Definition 2

    A relation on a set A is a relation from A to A. In other words, a relation on a set A is a subset of A × A.

Example 4 (2 points) Let A be the set {1, 2, 3, 4}. Which ordered pairs are in the relation R = {(a, b) | a divides
b} for example 2 divides 4?




Example 5 (4 points) From Example 4 draw all relations by using arrows and table to represent ordered pairs?




Example 6 (6 points) Consider these relations on the set of integers:
R1 = {(a, b) | a ≤ b},         R2 = {(a, b) | a > b},           R3 = {(a, b) | a = b or a = -b},
R4 = {(a, b) | a = b},         R5 = {(a, b) | a = b + 1},       R6 = {(a, b) | a + b ≤ 3}.
Which of these relations contain each of the pairs (1, 1), (1, 2), (2, 1), (1,-1), and (2, 2)?




Example 7 (2 points) How many relations are there on a set with n elements?




มหาวิทยาลัยราชภัฏสวนส ุนันทา (ภาคการศึกษาที่ 2/2555)                                     เรียบเรียงโดย อ.วงศ์ยศ เกิดศรี
Relations - 08                                                                           CSC1001 Discrete Mathematics           3
3. Properties of Relations
  Definition 3

  A relation R on a set A is called reflexive if (a, a) ∈ R for every element a ∈ A.

Example 8 (2 points) Consider the following relations on {1, 2, 3, 4}:
R1 = {(1, 1), (1, 2), (2, 1), (2, 2), (3, 4), (4, 1), (4, 4)},
R2 = {(1, 1), (1, 2), (2, 1)},
R3 = {(1, 1), (1, 2), (1, 4), (2, 1), (2, 2), (3, 3), (4, 1), (4, 4)},
R4 = {(2, 1), (3, 1), (3, 2), (4, 1), (4, 2), (4, 3)},
R5 = {(1, 1), (1, 2), (1, 3), (1, 4), (2, 2), (2, 3), (2, 4), (3, 3), (3, 4), (4, 4)},
R6 = {(3, 4)}.
Which of these relations are reflexive?




Example 9 (2 points) Which of the relations from Example 6 are reflexive?




  Definition 4

  A relation R on a set A is called symmetric if (b, a) ∈ R whenever (a, b) ∈ R, for all a, b ∈ A. A relation R
  on a set A such that for all a, b ∈ A, if (a, b) ∈ R and (b, a) ∈ R, then a = b is called antisymmetric.

Example 10 (2 points) Which of the relations from Example 8 are symmetric and which are antisymmetric?




Example 11 (2 points) Which of the relations from Example 6 are symmetric and which are antisymmetric?




มหาวิทยาลัยราชภัฏสวนส ุนันทา (ภาคการศึกษาที่ 2/2555)                                               เรียบเรียงโดย อ.วงศ์ยศ เกิดศรี
4          CSC1001 Discrete Mathematics                                                                 08 - Relations


    Definition 5

    A relation R on a set A is called transitive if whenever (a, b) ∈ R and (b, c) ∈ R, then (a, c) ∈ R, for all a,
    b, c ∈ A.

Example 12 (2 points) Which of the relations from Example 8 are transitive?




Example 13 (2 points) Which of the relations from Example 6 are transitive?




4. Combining Relations
     Because relations from A to B are subsets of A × B, two relations from A to B can be combined in any way
two sets can be combined.
Example 13 (8 points) Let A = {1, 2, 3} and B = {1, 2, 3, 4}. The relations R1 = {(1, 1), (2, 2), (3, 3)} and R2 =
{(1, 1), (1, 2), (1, 3), (1, 4)} can be combined to obtain
R1    ∪   R2 =       …………………………………………………………………………………………………………………
R1    ∩   R2 =       …………………………………………………………………………………………………………………
R1 - R2 =            …………………………………………………………………………………………………………………
R2 - R1 =            …………………………………………………………………………………………………………………
Example 14 (8 points) Let A = {-1, 0, 1, 2} and B = {1, 3, 5, 7}. The relations R1 = {(-1, 1), (0, 3), (1, 5) , (2, 7)}
and R2 = {(1, 1), (0, 3), (1, 3), (1, 5), (2, 5)} can be combined to obtain
R1    ∪   R2 =       …………………………………………………………………………………………………………………
R1    ∩   R2 =       …………………………………………………………………………………………………………………
R1 - R2 =            …………………………………………………………………………………………………………………
R2 - R1 =          …………………………………………………………………………………………………………………
Example 15 (2 points) Let R1 and R2 are the relations from Example 14 and given R3 = {(-1, 1), (0, 3), (0, 5),
(1, 5), (2, 7)} find (R1 ∪ R2) ∩ R3
(R1   ∪   R2 )   ∩   R3 =   ………………………………………………………………………………………………………..

มหาวิทยาลัยราชภัฏสวนส ุนันทา (ภาคการศึกษาที่ 2/2555)                                     เรียบเรียงโดย อ.วงศ์ยศ เกิดศรี
Relations - 08                                                                  CSC1001 Discrete Mathematics                    5
  Definition 6

 Let R be a relation from a set A to a set B and S a relation from B to a set C. The composite of R and S is
 the relation consisting of ordered pairs (a, c), where a ∈ A, c ∈ C, and for which there exists an element
 b ∈ B such that (a, b) ∈ R and (b, c) ∈ S. We denote the composite of R and S by S o R.

Example 16 (2 points) What is the composite of the relations R and S, where R is the relation from {1, 2, 3} to
{1, 2, 3, 4} with R = {(1, 1), (1, 4), (2, 3), (3, 1), (3, 4)} and S is the relation from {1, 2, 3, 4} to {0, 1, 2} with S =
{(1, 0), (2, 0), (3, 1), (3, 2), (4, 1)}?




Example 17 (2 points) Let R be the relation {(1, 2), (1, 3), (2, 3), (2, 4), (3, 1)}, and let S be the relation {(2, 1),
(3, 1), (3, 2), (4, 2)}. Find S o R?




  2       n-ary Relations and Their Applications
1. n-ary Relations
  Definition 1

 Let A1,A2, . . . , An be sets. An n-ary relation on these sets is a subset of A1       ×   A2   ×   …   ×   An. The sets A1,
 A2, … An are called the domains of the relation, and n is called its degree.

Example 18 (2 points) Let R be the relation on N × N × N consisting of triples (a, b, c), where a, b, and c are
integers with a < b < c. Find the degree and its domains? and Show 5 examples of (a, b, c) ∈ R




Example 19 (2 points) Let R be the relation on Z × Z × Z consisting of all triples of integers (a, b, c) in which a,
b, and c form an arithmetic progression. That is, (a, b, c) ∈ R if and only if there is an integer k such that b = a
+ k and c = a + 2k, or equivalently, such that b - a = k and c - b = k. Find the degree and its domains? and
Show 5 examples of (a, b, c) ∈ R
มหาวิทยาลัยราชภัฏสวนส ุนันทา (ภาคการศึกษาที่ 2/2555)                                         เรียบเรียงโดย อ.วงศ์ยศ เกิดศรี
6       CSC1001 Discrete Mathematics                                                               08 - Relations




Example 20 (2 points) Let R be the relation on Z × Z × Z+ consisting of triples (a, b, m), where a, b, and m are
integers with m ≥ 1 and a ≡ b (mod m). Find the degree and its domains? and Show 5 examples of (a, b, c)
∈R




2. Databases and Relations
    The relational data model, based on the concept of a relation. A database consists of records, which are
n-tuples, made up of fields. The fields are the entries of the n-tuples. Relations used to represent databases
are also called tables. Each column of the table corresponds to an attribute of the database. A domain of an
n-ary relation is called a primary key. That is, a domain is a primary key when no two n-tuples in the relation
have the same value from this domain.
    Combinations of domains can also uniquely identify n-tuples in an relation. When the values of a set of
domains determine an n-tuple in a relation, the Cartesian product of these domains is called a composite key.
Example 21 (2 points) Find a number of records and fields and identify the primary key of the table?




Example 22 (2 points) Is the Cartesian product of the domain of major fields of study and the domain of GPAs
a composite key for the n-ary relation from Table 1, assuming that no n-tuples are ever added?




มหาวิทยาลัยราชภัฏสวนส ุนันทา (ภาคการศึกษาที่ 2/2555)                                เรียบเรียงโดย อ.วงศ์ยศ เกิดศรี
Relations - 08                                                          CSC1001 Discrete Mathematics            7
3. Operations on n-ary Relations
  Definition 2

 Let R be an n-ary relation and C a condition that elements in R may satisfy. Then the selection operator sC
 maps the n-ary relation R to the n-ary relation of all n-tuples from R that satisfy the condition C.

Example 23 (2 points) Find the records of computer science majors in the n-ary relation R shown in Table 1




Example 24 (2 points) Find the records where GPA greater than 3.50 in the n-ary relation R shown in Table 1




  3        Representing Relations
1. Representing Relations Using Matrices
  Definition 1

 A relation between finite sets can be represented using a zero–one matrix. by the matrix MR = [mij ], where
         ⎧1 if(a i , b i ) ∈ R
  m ij = ⎨
         ⎩0 if(a i , b i ) ∉ R


Example 25 (2 points) Suppose that A = {1, 2, 3} and B = {1, 2}. Let R be the relation from A to B containing
(a, b) if a ∈ A, b ∈ B, and a > b. What is the matrix representing R if a1 = 1, a2 = 2, and a3 = 3, and b1 = 1
and b2 = 2?




Example 26 (2 points) Suppose that A = {0, 2, 4, 6} and B = {1, 2, 3, 4}. Let R be the relation from A to B
containing (a, b) if a ∈ A, b ∈ B, and a ≤ b. What is the matrix representing R?
มหาวิทยาลัยราชภัฏสวนส ุนันทา (ภาคการศึกษาที่ 2/2555)                               เรียบเรียงโดย อ.วงศ์ยศ เกิดศรี
8         CSC1001 Discrete Mathematics                                                                08 - Relations




Example 27 (2 points) Let A = {a1, a2, a3} and B = {b1, b2, b3, b4, b5}. Which ordered pairs are in the relation R
represented by the matrix?
          ⎡0 1 0 0 0 ⎤
    M R = ⎢1 0 1 1 0 ⎥
          ⎢          ⎥
          ⎢1 0 1 0 1 ⎥
          ⎣          ⎦




Example 28 (2 points) Let A = {0, 4, 8, 12} and B = {1, 3, 5}. Which ordered pairs are in the relation R
represented by the matrix?
         ⎡0        1 1⎤
         ⎢1        0 1⎥
    MR = ⎢            ⎥
         ⎢0        1 1⎥
         ⎢            ⎥
         ⎣1        0 0⎦



    Definition 2

    The relation R is symmetric if (a, b) ∈ R implies that (b, a) ∈ R. In terms of the entries of MR, R is
    symmetric if and only if mji = 1 whenever mij = 1. This also means mji = 0 whenever mij = 0. Consequently,
    R is symmetric if and only if mij = mji. Recalling the definition of the transpose of a matrix from Chapter 3,
    we see that R is symmetric if and only if MR = (MR)t

    Definition 3

    The relation R is antisymmetric if and only if (a, b) ∈ R and (b, a) ∈ R imply that a = b. Consequently, the
    matrix of an antisymmetric relation has the property that if mij = 1 with i ≠ j, then mji = 0. Or, in other
    words, either mij = 0 or mji = 0 when i ≠ j.




มหาวิทยาลัยราชภัฏสวนส ุนันทา (ภาคการศึกษาที่ 2/2555)                                   เรียบเรียงโดย อ.วงศ์ยศ เกิดศรี
Relations - 08                                                                           CSC1001 Discrete Mathematics           9
Example 29 (2 points) Suppose that the relation R on a set is represented by the matrix. Is R reflexive, sym-
metric, and/or antisymmetric?
        ⎡1 1 0⎤
  M R = ⎢1 1 1⎥
        ⎢      ⎥
        ⎢0 1 1 ⎥
        ⎣      ⎦



Example 30 (2 points) Suppose that the relation R on a set is represented by the matrix. Is R reflexive, sym-
metric, and/or antisymmetric?
        ⎡0 0 0 ⎤
  M R = ⎢0 1 0 ⎥
        ⎢      ⎥
        ⎢0 0 1 ⎥
        ⎣      ⎦




  Definition 4

 The Boolean operations join and meet can be used to find the matrices representing the union and the
 intersection of two relations. Suppose that R1 and R2 are relations on a set A represented by the matrices
 MR1 and MR2, respectively. The matrices representing the union and intersection of these relations are
  M R ∪R = M R ∨ M R and M R ∩R = M R ∧ M R
      1   2            1         2            1   2        1       2




  Definition 5

 Let the zero–one matrices for S o R, R, and S be M SoR = [tij ], MR = [rij ], and MS = [sij ], respectively. The
 ordered pair (ai, cj ) belongs to S o R if and only if there is an element bk such that (ai, bk) belongs to R and
 (bk, cj ) belongs to S. It follows that tij = 1 if and only if rik = skj = 1 for some k. From the definition of the
 Boolean product, this means that M SoR = M R M S

Example 31 (2 points) Suppose that the relations S and R on a set A are represented by the matrices?
     ⎡1       0   0⎤            ⎡1   0   0⎤
     ⎢0       1   1⎥            ⎢1   1   1⎥
S=   ⎢             ⎥       R=   ⎢         ⎥   Find    M S∪ R , M S∩ R   and   M So R ?
     ⎢0       1   1⎥            ⎢1   1   1⎥
     ⎢             ⎥            ⎢         ⎥
     ⎣0       0   1⎦            ⎣1   0   0⎦




มหาวิทยาลัยราชภัฏสวนส ุนันทา (ภาคการศึกษาที่ 2/2555)                                               เรียบเรียงโดย อ.วงศ์ยศ เกิดศรี

More Related Content

PPT
Relations
PPTX
Relations
PPT
Relations
PPT
Properties of relations
PDF
Relations digraphs
PPTX
CMSC 56 | Lecture 13: Relations and their Properties
PDF
Chapter 2: Relations
PPT
Introductions to Relations
Relations
Relations
Relations
Properties of relations
Relations digraphs
CMSC 56 | Lecture 13: Relations and their Properties
Chapter 2: Relations
Introductions to Relations

What's hot (19)

PPTX
Relations in Discrete Math
PPTX
CMSC 56 | Lecture 15: Closures of Relations
PPTX
CMSC 56 | Lecture 16: Equivalence of Relations & Partial Ordering
PPT
PPTX
CMSC 56 | Lecture 14: Representing Relations
PPTX
computational_Maths
PPT
Relations and functions
PDF
BCA_Semester-II-Discrete Mathematics_unit-ii_Relation and ordering
DOC
Final relation1 m_tech(cse)
PPT
Partial-Orderings in Discrete Mathematics
PPTX
Relations & functions
PPTX
Relations and Its Applications
PPTX
Section 9: Equivalence Relations & Cosets
PPTX
Relations and functions
PPTX
Relation and function
PPTX
Relations and Functions 1
PPTX
Relations and Functions 2
PDF
Relations
PPT
Relations in Discrete Math
CMSC 56 | Lecture 15: Closures of Relations
CMSC 56 | Lecture 16: Equivalence of Relations & Partial Ordering
CMSC 56 | Lecture 14: Representing Relations
computational_Maths
Relations and functions
BCA_Semester-II-Discrete Mathematics_unit-ii_Relation and ordering
Final relation1 m_tech(cse)
Partial-Orderings in Discrete Mathematics
Relations & functions
Relations and Its Applications
Section 9: Equivalence Relations & Cosets
Relations and functions
Relation and function
Relations and Functions 1
Relations and Functions 2
Relations
Ad

Viewers also liked (20)

PDF
Discrete-Chapter 04 Logic Part I
PDF
Discrete-Chapter 03 Matrices
PDF
Discrete-Chapter 02 Functions and Sequences
PPTX
Introduction to management
PDF
Discrete-Chapter 01 Sets
PDF
Discrete-Chapter 04 Logic Part II
PDF
Discrete-Chapter 07 Probability
PDF
Discrete-Chapter 09 Algorithms
PDF
Discrete-Chapter 06 Counting
PPTX
Tenerife airport disaster klm flight 4805 and pan
PDF
Discrete-Chapter 05 Inference and Proofs
PPT
Set Operations
PPT
Meaning relations and properties
PDF
Chapter 1 Logic of Compound Statements
PPTX
Set Theory Presentation
PPTX
PDF
Discrete Structures. Lecture 1
PPTX
PPTX
Bab 3 Tamadun Melayu Baru
PPTX
Discrete-Chapter 04 Logic Part I
Discrete-Chapter 03 Matrices
Discrete-Chapter 02 Functions and Sequences
Introduction to management
Discrete-Chapter 01 Sets
Discrete-Chapter 04 Logic Part II
Discrete-Chapter 07 Probability
Discrete-Chapter 09 Algorithms
Discrete-Chapter 06 Counting
Tenerife airport disaster klm flight 4805 and pan
Discrete-Chapter 05 Inference and Proofs
Set Operations
Meaning relations and properties
Chapter 1 Logic of Compound Statements
Set Theory Presentation
Discrete Structures. Lecture 1
Bab 3 Tamadun Melayu Baru
Ad

Similar to Discrete-Chapter 08 Relations (20)

PPTX
slide-week1_Introduction to Relation.pptx
PPTX
realtion ppt for disteane maths for engg
PDF
dm_13_RelationsAndTheirProperties (1).pdf
PPTX
dm_13_RelationsAndTheirProperties (1).pptx
PDF
Lecture 3 (4).pdfbbbbbbbbbbbbbbbbbbbvvvvvvvvvvvvvvvvvvvvvvvvv
PDF
Lecture 3 (2).pdf,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,
PPT
inbound38351872686383732942924290993.ppt
PDF
relation and function arvind kalia sir.pdf
DOC
Final relation1 m_tech(cse)
DOC
Final relation1 m_tech(cse)
PDF
Basic concepts of relations , digraph and POSETpdf
PDF
Relations
PDF
Relation in Discrete Mathematics
PPT
Sadat sumon
PPTX
Discrete Structures_Relations_Lec 1.pptx
PPTX
Relation and function_xii
PPTX
Presentation_by_HADI[2][1] [Read-Only].pptx
PPTX
Binary Relation-1 ssssssssssssssssssssssss
PDF
duj28udehj82uh3duujd83uijdj3Relations lecture-1 (11th JEE
PPT
36_P17CSC101_202012110741597web technology concept object binary 2.ppt
slide-week1_Introduction to Relation.pptx
realtion ppt for disteane maths for engg
dm_13_RelationsAndTheirProperties (1).pdf
dm_13_RelationsAndTheirProperties (1).pptx
Lecture 3 (4).pdfbbbbbbbbbbbbbbbbbbbvvvvvvvvvvvvvvvvvvvvvvvvv
Lecture 3 (2).pdf,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,
inbound38351872686383732942924290993.ppt
relation and function arvind kalia sir.pdf
Final relation1 m_tech(cse)
Final relation1 m_tech(cse)
Basic concepts of relations , digraph and POSETpdf
Relations
Relation in Discrete Mathematics
Sadat sumon
Discrete Structures_Relations_Lec 1.pptx
Relation and function_xii
Presentation_by_HADI[2][1] [Read-Only].pptx
Binary Relation-1 ssssssssssssssssssssssss
duj28udehj82uh3duujd83uijdj3Relations lecture-1 (11th JEE
36_P17CSC101_202012110741597web technology concept object binary 2.ppt

More from Wongyos Keardsri (20)

PDF
How to Study and Research in Computer-related Master Program
PPT
The next generation intelligent transport systems: standards and applications
PPT
IP address anonymization
PDF
SysProg-Tutor 03 Unix Shell Script Programming
PDF
SysProg-Tutor 02 Introduction to Unix Operating System
PDF
SysProg-Tutor 01 Introduction to C Programming Language
PDF
Discrete-Chapter 11 Graphs Part III
PDF
Discrete-Chapter 11 Graphs Part II
PDF
Discrete-Chapter 11 Graphs Part I
PDF
Discrete-Chapter 10 Trees
PDF
Discrete-Chapter 12 Modeling Computation
PDF
Java-Chapter 14 Creating Graphics with DWindow
PDF
Java-Chapter 13 Advanced Classes and Objects
PDF
Java-Chapter 11 Recursions
PDF
Java-Chapter 10 Two Dimensional Arrays
PDF
Java-Chapter 09 Advanced Statements and Applications
PDF
Java-Chapter 08 Methods
PDF
Java-Chapter 07 One Dimensional Arrays
PDF
Java-Chapter 06 File Operations
PDF
Java-Chapter 05 String Operations
How to Study and Research in Computer-related Master Program
The next generation intelligent transport systems: standards and applications
IP address anonymization
SysProg-Tutor 03 Unix Shell Script Programming
SysProg-Tutor 02 Introduction to Unix Operating System
SysProg-Tutor 01 Introduction to C Programming Language
Discrete-Chapter 11 Graphs Part III
Discrete-Chapter 11 Graphs Part II
Discrete-Chapter 11 Graphs Part I
Discrete-Chapter 10 Trees
Discrete-Chapter 12 Modeling Computation
Java-Chapter 14 Creating Graphics with DWindow
Java-Chapter 13 Advanced Classes and Objects
Java-Chapter 11 Recursions
Java-Chapter 10 Two Dimensional Arrays
Java-Chapter 09 Advanced Statements and Applications
Java-Chapter 08 Methods
Java-Chapter 07 One Dimensional Arrays
Java-Chapter 06 File Operations
Java-Chapter 05 String Operations

Discrete-Chapter 08 Relations

  • 1. Relations - 08 CSC1001 Discrete Mathematics 1 CHAPTER ความสัมพันธ์ 8 (Relations) 1 Relations and Their Properties 1. Relation Deffinitions The most direct way to express a relationship between elements of two sets is to use ordered pairs made up of two related elements. Definition 1 Let A and B be sets. A binary relation from A to B is a subset of A × B. Example 1 (2 points) Let A = {0, 1, 2} and B = {a, b}. Then {(0, a), (0, b), (1, a), (2, b)} is a relation from A to B. This means, for instance, that 0 R a, but that 1 not R b. Relations can be represented graphically using arrows to represent ordered pairs. Another way to represent this relation is to use a table. Example 2 (2 points) Let A be the set of cities in the ASEAN, and let B be the set of countries in the ASEAN as follow list; A = { Bangkok, Johor, Manila, Kuala Lumpur, Hanoi, Phuket, Penang, Naypyidaw, Ho Chi Minh, Chiang Mai } B = { Malaysia, Thailand, Philippines, Vietnam, Myanmar } Find the relations from A to B. Example 3 (2 points) Let A = { 0, 1, 4 } is domain of f(x) and B = { -2, -1, 0, 1, 2 } is range of f(x), find the relations from A to B, if given f(x) = x . มหาวิทยาลัยราชภัฏสวนส ุนันทา (ภาคการศึกษาที่ 2/2555) เรียบเรียงโดย อ.วงศ์ยศ เกิดศรี
  • 2. 2 CSC1001 Discrete Mathematics 08 - Relations 2. Relations on a Set Definition 2 A relation on a set A is a relation from A to A. In other words, a relation on a set A is a subset of A × A. Example 4 (2 points) Let A be the set {1, 2, 3, 4}. Which ordered pairs are in the relation R = {(a, b) | a divides b} for example 2 divides 4? Example 5 (4 points) From Example 4 draw all relations by using arrows and table to represent ordered pairs? Example 6 (6 points) Consider these relations on the set of integers: R1 = {(a, b) | a ≤ b}, R2 = {(a, b) | a > b}, R3 = {(a, b) | a = b or a = -b}, R4 = {(a, b) | a = b}, R5 = {(a, b) | a = b + 1}, R6 = {(a, b) | a + b ≤ 3}. Which of these relations contain each of the pairs (1, 1), (1, 2), (2, 1), (1,-1), and (2, 2)? Example 7 (2 points) How many relations are there on a set with n elements? มหาวิทยาลัยราชภัฏสวนส ุนันทา (ภาคการศึกษาที่ 2/2555) เรียบเรียงโดย อ.วงศ์ยศ เกิดศรี
  • 3. Relations - 08 CSC1001 Discrete Mathematics 3 3. Properties of Relations Definition 3 A relation R on a set A is called reflexive if (a, a) ∈ R for every element a ∈ A. Example 8 (2 points) Consider the following relations on {1, 2, 3, 4}: R1 = {(1, 1), (1, 2), (2, 1), (2, 2), (3, 4), (4, 1), (4, 4)}, R2 = {(1, 1), (1, 2), (2, 1)}, R3 = {(1, 1), (1, 2), (1, 4), (2, 1), (2, 2), (3, 3), (4, 1), (4, 4)}, R4 = {(2, 1), (3, 1), (3, 2), (4, 1), (4, 2), (4, 3)}, R5 = {(1, 1), (1, 2), (1, 3), (1, 4), (2, 2), (2, 3), (2, 4), (3, 3), (3, 4), (4, 4)}, R6 = {(3, 4)}. Which of these relations are reflexive? Example 9 (2 points) Which of the relations from Example 6 are reflexive? Definition 4 A relation R on a set A is called symmetric if (b, a) ∈ R whenever (a, b) ∈ R, for all a, b ∈ A. A relation R on a set A such that for all a, b ∈ A, if (a, b) ∈ R and (b, a) ∈ R, then a = b is called antisymmetric. Example 10 (2 points) Which of the relations from Example 8 are symmetric and which are antisymmetric? Example 11 (2 points) Which of the relations from Example 6 are symmetric and which are antisymmetric? มหาวิทยาลัยราชภัฏสวนส ุนันทา (ภาคการศึกษาที่ 2/2555) เรียบเรียงโดย อ.วงศ์ยศ เกิดศรี
  • 4. 4 CSC1001 Discrete Mathematics 08 - Relations Definition 5 A relation R on a set A is called transitive if whenever (a, b) ∈ R and (b, c) ∈ R, then (a, c) ∈ R, for all a, b, c ∈ A. Example 12 (2 points) Which of the relations from Example 8 are transitive? Example 13 (2 points) Which of the relations from Example 6 are transitive? 4. Combining Relations Because relations from A to B are subsets of A × B, two relations from A to B can be combined in any way two sets can be combined. Example 13 (8 points) Let A = {1, 2, 3} and B = {1, 2, 3, 4}. The relations R1 = {(1, 1), (2, 2), (3, 3)} and R2 = {(1, 1), (1, 2), (1, 3), (1, 4)} can be combined to obtain R1 ∪ R2 = ………………………………………………………………………………………………………………… R1 ∩ R2 = ………………………………………………………………………………………………………………… R1 - R2 = ………………………………………………………………………………………………………………… R2 - R1 = ………………………………………………………………………………………………………………… Example 14 (8 points) Let A = {-1, 0, 1, 2} and B = {1, 3, 5, 7}. The relations R1 = {(-1, 1), (0, 3), (1, 5) , (2, 7)} and R2 = {(1, 1), (0, 3), (1, 3), (1, 5), (2, 5)} can be combined to obtain R1 ∪ R2 = ………………………………………………………………………………………………………………… R1 ∩ R2 = ………………………………………………………………………………………………………………… R1 - R2 = ………………………………………………………………………………………………………………… R2 - R1 = ………………………………………………………………………………………………………………… Example 15 (2 points) Let R1 and R2 are the relations from Example 14 and given R3 = {(-1, 1), (0, 3), (0, 5), (1, 5), (2, 7)} find (R1 ∪ R2) ∩ R3 (R1 ∪ R2 ) ∩ R3 = ……………………………………………………………………………………………………….. มหาวิทยาลัยราชภัฏสวนส ุนันทา (ภาคการศึกษาที่ 2/2555) เรียบเรียงโดย อ.วงศ์ยศ เกิดศรี
  • 5. Relations - 08 CSC1001 Discrete Mathematics 5 Definition 6 Let R be a relation from a set A to a set B and S a relation from B to a set C. The composite of R and S is the relation consisting of ordered pairs (a, c), where a ∈ A, c ∈ C, and for which there exists an element b ∈ B such that (a, b) ∈ R and (b, c) ∈ S. We denote the composite of R and S by S o R. Example 16 (2 points) What is the composite of the relations R and S, where R is the relation from {1, 2, 3} to {1, 2, 3, 4} with R = {(1, 1), (1, 4), (2, 3), (3, 1), (3, 4)} and S is the relation from {1, 2, 3, 4} to {0, 1, 2} with S = {(1, 0), (2, 0), (3, 1), (3, 2), (4, 1)}? Example 17 (2 points) Let R be the relation {(1, 2), (1, 3), (2, 3), (2, 4), (3, 1)}, and let S be the relation {(2, 1), (3, 1), (3, 2), (4, 2)}. Find S o R? 2 n-ary Relations and Their Applications 1. n-ary Relations Definition 1 Let A1,A2, . . . , An be sets. An n-ary relation on these sets is a subset of A1 × A2 × … × An. The sets A1, A2, … An are called the domains of the relation, and n is called its degree. Example 18 (2 points) Let R be the relation on N × N × N consisting of triples (a, b, c), where a, b, and c are integers with a < b < c. Find the degree and its domains? and Show 5 examples of (a, b, c) ∈ R Example 19 (2 points) Let R be the relation on Z × Z × Z consisting of all triples of integers (a, b, c) in which a, b, and c form an arithmetic progression. That is, (a, b, c) ∈ R if and only if there is an integer k such that b = a + k and c = a + 2k, or equivalently, such that b - a = k and c - b = k. Find the degree and its domains? and Show 5 examples of (a, b, c) ∈ R มหาวิทยาลัยราชภัฏสวนส ุนันทา (ภาคการศึกษาที่ 2/2555) เรียบเรียงโดย อ.วงศ์ยศ เกิดศรี
  • 6. 6 CSC1001 Discrete Mathematics 08 - Relations Example 20 (2 points) Let R be the relation on Z × Z × Z+ consisting of triples (a, b, m), where a, b, and m are integers with m ≥ 1 and a ≡ b (mod m). Find the degree and its domains? and Show 5 examples of (a, b, c) ∈R 2. Databases and Relations The relational data model, based on the concept of a relation. A database consists of records, which are n-tuples, made up of fields. The fields are the entries of the n-tuples. Relations used to represent databases are also called tables. Each column of the table corresponds to an attribute of the database. A domain of an n-ary relation is called a primary key. That is, a domain is a primary key when no two n-tuples in the relation have the same value from this domain. Combinations of domains can also uniquely identify n-tuples in an relation. When the values of a set of domains determine an n-tuple in a relation, the Cartesian product of these domains is called a composite key. Example 21 (2 points) Find a number of records and fields and identify the primary key of the table? Example 22 (2 points) Is the Cartesian product of the domain of major fields of study and the domain of GPAs a composite key for the n-ary relation from Table 1, assuming that no n-tuples are ever added? มหาวิทยาลัยราชภัฏสวนส ุนันทา (ภาคการศึกษาที่ 2/2555) เรียบเรียงโดย อ.วงศ์ยศ เกิดศรี
  • 7. Relations - 08 CSC1001 Discrete Mathematics 7 3. Operations on n-ary Relations Definition 2 Let R be an n-ary relation and C a condition that elements in R may satisfy. Then the selection operator sC maps the n-ary relation R to the n-ary relation of all n-tuples from R that satisfy the condition C. Example 23 (2 points) Find the records of computer science majors in the n-ary relation R shown in Table 1 Example 24 (2 points) Find the records where GPA greater than 3.50 in the n-ary relation R shown in Table 1 3 Representing Relations 1. Representing Relations Using Matrices Definition 1 A relation between finite sets can be represented using a zero–one matrix. by the matrix MR = [mij ], where ⎧1 if(a i , b i ) ∈ R m ij = ⎨ ⎩0 if(a i , b i ) ∉ R Example 25 (2 points) Suppose that A = {1, 2, 3} and B = {1, 2}. Let R be the relation from A to B containing (a, b) if a ∈ A, b ∈ B, and a > b. What is the matrix representing R if a1 = 1, a2 = 2, and a3 = 3, and b1 = 1 and b2 = 2? Example 26 (2 points) Suppose that A = {0, 2, 4, 6} and B = {1, 2, 3, 4}. Let R be the relation from A to B containing (a, b) if a ∈ A, b ∈ B, and a ≤ b. What is the matrix representing R? มหาวิทยาลัยราชภัฏสวนส ุนันทา (ภาคการศึกษาที่ 2/2555) เรียบเรียงโดย อ.วงศ์ยศ เกิดศรี
  • 8. 8 CSC1001 Discrete Mathematics 08 - Relations Example 27 (2 points) Let A = {a1, a2, a3} and B = {b1, b2, b3, b4, b5}. Which ordered pairs are in the relation R represented by the matrix? ⎡0 1 0 0 0 ⎤ M R = ⎢1 0 1 1 0 ⎥ ⎢ ⎥ ⎢1 0 1 0 1 ⎥ ⎣ ⎦ Example 28 (2 points) Let A = {0, 4, 8, 12} and B = {1, 3, 5}. Which ordered pairs are in the relation R represented by the matrix? ⎡0 1 1⎤ ⎢1 0 1⎥ MR = ⎢ ⎥ ⎢0 1 1⎥ ⎢ ⎥ ⎣1 0 0⎦ Definition 2 The relation R is symmetric if (a, b) ∈ R implies that (b, a) ∈ R. In terms of the entries of MR, R is symmetric if and only if mji = 1 whenever mij = 1. This also means mji = 0 whenever mij = 0. Consequently, R is symmetric if and only if mij = mji. Recalling the definition of the transpose of a matrix from Chapter 3, we see that R is symmetric if and only if MR = (MR)t Definition 3 The relation R is antisymmetric if and only if (a, b) ∈ R and (b, a) ∈ R imply that a = b. Consequently, the matrix of an antisymmetric relation has the property that if mij = 1 with i ≠ j, then mji = 0. Or, in other words, either mij = 0 or mji = 0 when i ≠ j. มหาวิทยาลัยราชภัฏสวนส ุนันทา (ภาคการศึกษาที่ 2/2555) เรียบเรียงโดย อ.วงศ์ยศ เกิดศรี
  • 9. Relations - 08 CSC1001 Discrete Mathematics 9 Example 29 (2 points) Suppose that the relation R on a set is represented by the matrix. Is R reflexive, sym- metric, and/or antisymmetric? ⎡1 1 0⎤ M R = ⎢1 1 1⎥ ⎢ ⎥ ⎢0 1 1 ⎥ ⎣ ⎦ Example 30 (2 points) Suppose that the relation R on a set is represented by the matrix. Is R reflexive, sym- metric, and/or antisymmetric? ⎡0 0 0 ⎤ M R = ⎢0 1 0 ⎥ ⎢ ⎥ ⎢0 0 1 ⎥ ⎣ ⎦ Definition 4 The Boolean operations join and meet can be used to find the matrices representing the union and the intersection of two relations. Suppose that R1 and R2 are relations on a set A represented by the matrices MR1 and MR2, respectively. The matrices representing the union and intersection of these relations are M R ∪R = M R ∨ M R and M R ∩R = M R ∧ M R 1 2 1 2 1 2 1 2 Definition 5 Let the zero–one matrices for S o R, R, and S be M SoR = [tij ], MR = [rij ], and MS = [sij ], respectively. The ordered pair (ai, cj ) belongs to S o R if and only if there is an element bk such that (ai, bk) belongs to R and (bk, cj ) belongs to S. It follows that tij = 1 if and only if rik = skj = 1 for some k. From the definition of the Boolean product, this means that M SoR = M R M S Example 31 (2 points) Suppose that the relations S and R on a set A are represented by the matrices? ⎡1 0 0⎤ ⎡1 0 0⎤ ⎢0 1 1⎥ ⎢1 1 1⎥ S= ⎢ ⎥ R= ⎢ ⎥ Find M S∪ R , M S∩ R and M So R ? ⎢0 1 1⎥ ⎢1 1 1⎥ ⎢ ⎥ ⎢ ⎥ ⎣0 0 1⎦ ⎣1 0 0⎦ มหาวิทยาลัยราชภัฏสวนส ุนันทา (ภาคการศึกษาที่ 2/2555) เรียบเรียงโดย อ.วงศ์ยศ เกิดศรี