Chapter 5: Relation

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Mathematics for Biotechnology and Data Science 

Chapter 1: Set Theory 

Chapter 2: Operation of Sets 

Chapter 3: Application of Set Theory 

Chapter 4: Venn Diagram  

Chapter 5: Relation  

Chapter 6: MAPPING OR FUNCTIONS 

Chapter 8: Inverse of a Function 

Relations

1.     Introduction 

:     Relations: 

As we know and already studied about notions of relations and functions, domain, co-domain, and range, along with different types of specific real-valued functions and their graphs. The concept of the term ‘relation’ in mathematics has been drawn from the meaning of relation in the English language, according to which two objects or quantities are related if there is a recognisable connection or link between the two objects or quantities. Let A be the set of students of Class XII of a school, and B be the set of students of Class XI of the same school. Then some of the examples of relations from A to B are

(1) 

(2) 

(3) 

(4) 

(5) 

However, abstracting from this, we define mathematically a relation R from A to B as an arbitrary subset of .

If (a, b) R, we say that a is related to b under the relation  and we write as a  b. In general, (a, b) R, we do not bother whether there is a recognisable connection or link between a and b. As we already know the functions are special kind of relations.

In this chapter, we will study different types of relations and functions, composition of functions, invertible functions and binary operations.

2.     Types of Relations

In this section, we would like to study different types of relations. We know that a relation in a set A is a subset of . Thus, the empty set  and  are two extreme relations. For illustration, consider a relation R in the set A = {1, 2, 3, 4} given by . This is the empty set, as no pair (a, b) satisfies the condition a – b = 10. Similarly,  is the whole set , as all pairs (a, b) in  satisfy . These two extreme examples lead us to the following definitions.

 

A.    Empty Relation

A relation R in a set A is called empty relation, if no element of A is related to any element of A, i.e., .

B.    Universal Relation

A relation R in a set A is called universal relation, if each element of A is related to every element of A, i.e., R = A × A.

Both the empty relation and the universal relation are sometimes called trivial relations.

Example 1 Let A be the set of all students of a boy’s school. Show that the relation R in A given by  is the empty relation and R' = {(a, b) : the difference between heights of a and b is less than 3 meters} is the universal relation.

Solution Since the school is boy’s school, no student of the school can be sister of any student of the school. Hence, , showing that R is the empty relation. It is also obvious that the difference between heights of any two students of the school has to be less than 3 meters. This shows that  is the universal relation.

Example 2: Set A is the set of all students of a boy’s school. Show that the relation R on P given by

.

Solution It is obvious that the difference between the heights of any two students of the school has to be less than 5 metres. Therefore, it can be concluded that  for all .

R is the universal-relation on set P.

Example 3 Let set . Let a relation R be defined on A as . Show that R is and empty relation.

Solution The Cartesian product is the set of all possible ordered pairs of elements from set A.

 

The relation R is defined by the condition . You must check each ordered pair in  to see if it satisfies this condition.

For , for , and for

Then , for  and for

Then , for  and for

none of the ordered pairs from  satisfy the condition , the  contain no elements.

The relation  is an empty relation.

Remark In earlier class, we have seen two ways of representing a relation, namely raster method and set builder method. However, a relation R in the set {1, 2, 3, 4} defined by  is also expressed as  if and only if  by many authors. We may also use this notation, as and when convenient. If , we say that a is related to b and we denote it as .

One of the most important relation, which plays a significant role in Mathematics, is an equivalence relation. To study equivalence relation, we first consider three types of relations, namely reflexive, symmetric and transitive.

C.    Equivalence Relation

A relation R in a set A is called equivalence relation then the following 3 condition must be satisfied:

a.     Reflexive, if , for every

b.    Symmetric, if  implies that , for all .

c.     Transitive, if  and  implies that , for all .

Remark A relation R in a set A is said to be an equivalence relation if R is reflexive, symmetric and transitive.

Example 4 Let  be the set of all triangles in a plane with R a relation in T given by . Show that R is an equivalence relation.

Solution R is reflexive, since every triangle is congruent to itself. Further,  is congruent to  is congruent to . Hence, R is symmetric. Moreover,  is congruent to T2 and T2 is congruent to  is congruent to . Therefore, R is an equivalence relation.

Example 5 Let L be the set of all lines in a plane and R be the relation in L defined as . Show that R is symmetric but neither reflexive nor transitive.

Text Box: Fig 1.1Solution R is not reflexive, as a line  cannot be perpendicular to itself, i.e., . R is symmetric as  

 

 

.

 

R is not transitive. Indeed, if is perpendicular to  and  is perpendicular to  , then  can never be perpendicular to . In fact,  is parallel to , i.e., .

Example 6 Show that the relation R in the set {1, 2, 3} given by  is reflexive but neither symmetric nor transitive.

Solution R is reflexive, since (1, 1), (2, 2) and (3, 3) lie in R. Also, R is not symmetric, as  but . Similarly, R is not transitive, as  and  but .

Example 7 Show that the relation R in the set Z of integers given by  is an equivalence relation.

Solution R is reflexive, as  for all a Z. Further, , then . Therefore, . Hence, , which shows that R is symmetric. Similarly, if  and , then  and  are divisible by 2. Now,  is even. So, . This shows that R is transitive. Thus, R is an equivalence relation in Z.

Example 8 Let R be the relation defined in the set  by . Show that R is an equivalence relation. Further, show that all the elements of the subset {1, 3, 5, 7} are related to each other and all the elements of the subset {2, 4, 6} are related to each other, but no element of the subset {1, 3, 5, 7} is related to any element of the subset {2, 4, 6}.

Solution Given any element a in A, both a and a must be either odd or even, so that . Further,   both a and b must be either odd or even . Similarly,  and   all elements a, b, c, must be either even or odd simultaneously . Hence, R is an equivalence relation. Further, all the elements of {1, 3, 5, 7} are related to each other, as all the elements of this subset are odd. Similarly, all the elements of the subset {2, 4, 6} are related to each other, as all of them are even. Also, no element of the subset {1, 3, 5, 7} can be related to any element of {2, 4, 6}, as elements of {1, 3, 5, 7} are odd, while elements of {2, 4, 6} are even.


Assignment: Probability and Statistics Basic

Sticky Ad Probability Problems with Detailed Solutions Click each question to expand the detailed interpretation and solution. ...