Understanding Relations and Its Types: Definition, Representation and Examples

Relations and Functions 2025 ( Maths Relations and Functions )

Jaya Sharma
Updated on Jun 20, 2025 15:04 IST

By Jaya Sharma, Assistant Manager - Content

Relations in Math describe how an element from one set is connected to the element in the same/other set. A relation R from set A to set B is any subset of the Cartesian product A x B. If A = {1,2,3} and B = {a,b}. In this case, A x B = {(1,a), (1,b), (2,a), (2mb), (3,a), (3,b)}. Any subset of these ordered pairs will form a relation. Class 11 notes on Relations and Functions cover the overall concept of Relations in Math. Here, we will be discussing different types of relations in detail but before that, let us understand what are relations with an example.

Let A and B are two non - empty sets, then any subset of A × B is called a relation. It is denoted by symbol R.

Example: Consider two sets: Set A: { 1 ,   2 ,   3 } Set B: { a ,   b ,   c }

A relation R could be defined as: R = { ( 1 ,   a ) ,   ( 2 ,   b ) ,   ( 3 ,   c ) }

This relation R connects the elements of Set A with the corresponding elements in Set B.

For instance, 1 is related to ‘a’, 2 is related to ‘b’ and 3 is related to ‘c’.

Table of content
  • What is Empty Relation/ Void Relation?
  • Understanding the Universal Relation
  • What is an ldentity Relation?
  • What is an lnverse Relation?
  • Reflexive Relation
  • Transitive Relation
  • Equivalence Relation
  • How To Represent Different Types of Relations?
  • Tips for Exam Preparation
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What is Empty Relation/ Void Relation?

One of the types of relations in Math is empty relation. A relation R on a set A will be an empty relation, if no element of A is related to any element of A. Therefore, ϕ A × A is called a void or an empty relation on A. Class 12th board exams ask questions related to this topic. Students can go through NCERT exercises for understanding the types of questions that will be asked in the examination.

Example: Let us say we have two sets: Set A: { 1 ,   2 ,   3 } Set B: { a ,   b ,   c }

A relation R could be defined as: R = { ( x ,   y )   |   x   +   y   =   1 0 }

In this case, there are no elements in either set A or set B that, when summed, equal 10.

Therefore, the relation R would be an empty relation; R = ϕ

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Understanding the Universal Relation

A relation R on a set A is said to be a universal relation, if each element of A is related to every element of A. Therefore, A × A A × A is called a universal relation on A. Let us know learn about this type of relation through an example.

Example: A: { 1 ,   2 ,   3 }

The Cartesian product A A would be: { ( 1 ,   1 ) ,   ( 1 ,   2 ) ,   ( 1 ,   3 ) ,   ( 2 ,   1 ) ,   ( 2 ,   2 ) ,   ( 2 ,   3 ) ,   ( 3 ,   1 ) ,   ( 3 ,   2 ) ,   ( 3 ,   3 ) }

If R = A × A, then R would be the universal relation on A. It means that every element in A is related to every other element in A.

Some of the relevant reads for you:

NCERT solutions
NCERT Class 12 Maths Notes for CBSE
Maths Relations and Functions Logo

What is an ldentity Relation?

Let A be a non - empty set. Then, a relation IA on A is called an identity relation if and only if the image of a A on IA is a a A

i.e., IA = { ( a , a ) : a A }

Example: If A: { 1 ,   2 ,   3 } , the identity relation would be { ( 1 ,   1 ) ,   ( 2 ,   2 ) ,   ( 3 ,   3 ) } .

Every identity relation is a reflexive relation as it includes all ordered pairs where the first and second element are the same. However, not all reflexive relations are identity relations (e.g.,) is reflexive but not identity because it also includes (1,2). NEET and JEE Main aspirants must practice questions related to this concept since this chapter is included in both class 11th and 12th. 

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What is an lnverse Relation?

Also known as converse relation; an inverse relation is formed by reversing the direction of all ordered pairs in the original relation. If R is a relation from set A to set B, then its inverse relation R⁻¹ is a relation from set B to set A. Questions around inverse relation are also asked in CUET and IISER exams which is why student must practice question related to this type of relation.
Let R = { ( a , b ) : a , b A } be a relation on A. Then a relation { ( b , a ) : a , b A } is called an inverse of relation R and is denoted by R-1.

R-1 = { ( b , a ) : b B , a A , ( a , b ) R }

Example: Original Relation: Let R = { ( 1 ,   2 ) ,   ( 3 ,   4 ) ,   ( 5 ,   6 ) } .

Inverse Relation: The inverse, R-1, would be R-1 = { ( 2 ,   1 ) ,   ( 4 ,   3 ) ,   ( 6 ,   5 ) } .

If you have a mapping from a set A to a set B (e.g., R: A B),

the inverse relation maps from B to A (R-1: B A).

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Reflexive Relation

One of the other types of relations is reflexive relation. A relation R on a set A is said to be reflexive, if every element of A is related to itself. Let us consider an example to understand this:

Equality: Every element is equal to itself (e.g., a = a)

Greater than or equal to: Every element is greater than or equal to itself (e.g., a a).

Less than or equal to: Every element is less than or equal to itself (e.g., a a).

Divisibility: Every number divides itself.

Subset: Every set is a subset of itself.

Non - Examples:

Being older than: If X is older than Y, then Y is not necessarily older than X.

Being parent of: If X is the parent of Y, then Y is not the parent of X.

Is less than: If a < b, then b < a is not true.

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Transitive Relation

A relation R on a set A is said to be transitive, if (a, b) R and (b, c) R (a, c) R a, b, c A. Let's look at an example to understand this relation type:

Examples:

Is less than (<): If x < y and y < z, then x < z.

Is equal than (=): If x = y and y = z, then x = z.

Is divisible by: If a is divisible by b and b is divisible by c, then a is divisible by c.

Is an ancestor of: If person A is an ancestor of person B, and person B is an ancestor of person C, then A is an ancestor of C.

Is the parent of: If person A is the parent of person B, and person B is the parent of person C, it doesn’t mean A is the parent of C (A would be a grandparent of C).

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Equivalence Relation

This is the last type of relations in math that we have discussed here. Similarly, there are different types of functions that are covered as a separate topic. A relation R on a set A is said to be equivalence relation if and only if R is reflexive, symmetric and transitive. Below is an example that explanins equivalence relation:

Examples:

Is equal to (=): This is the most fundamental example. If you have 2 = 2, 2 = 3, 3 = 4,then 2 = 4.

Is similar to ( ): Two triangles are similar if they have the same shape but possibly different sizes.

Has the same birthday: If you have two people who share the same birthday, that’s an equivalence relation.

Is congruent to: Two geometric shapes are congruent if they have the same size and shape.

Congruence modulo n ( ): For integers, a b (mod n) if their difference is divisible by n.

For example, 7 2 (mod 5) because 7 – 2 = 5, which is divisible by 5.

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How To Represent Different Types of Relations?

The following table gives the representation for different types of relations in Math:

Type of Relation

Condition

Example (on set A = {1, 2, 3})

Reflexive

(a, a) ∈ R for all a ∈ A

R = {(1,1), (2,2), (3,3), ...}

Symmetric

If (a, b) ∈ R, then (b, a) ∈ R

R = {(1,2), (2,1)}

Antisymmetric

If (a, b) ∈ R and (b, a) ∈ R ⇒ a = b

R = {(1,1), (2,2), (2,3)}

Transitive

If (a, b) ∈ R and (b, c) ∈ R ⇒ (a, c) ∈ R

R = {(1,2), (2,3), (1,3)}

Equivalence

Must satisfy all 3 above conditions

R = {(1,1), (2,2), (1,2), (2,1)}

Partial Order

Must satisfy reflexive, antisymmetric, and transitive

R = {(1,1), (2,2), (1,2), (2,3), (1,3)}

 

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Tips for Exam Preparation

While we have discussed all types of relations, keeping the following pointers in mind will increase your chances of attempting questions with success easily. Overall, the below-given points summarize all the relation types that have been discussed in this topic.

  • If A be a finite set having n elements, then, no. of relations on set A is 2 m × n i.e. 2 n 2 .
  • The void relation i.e., ϕ and universal relation i.e., A × A on A are respectively the smallest and the largest relations defined on the set A. Also, these are sometimes called Trivial Relations. And, any other relation is called a non-trivial relation.
  • In an identity relation on A every element of A should be related to itself only.
  • The identity relation is always a reflexive relation but the opposite may or may not be true.
  • Two equivalence classes are either disjoint or identical.
  • An equivalence relation R on a set A partitions the set into mutually disjoint equivalence classes.
  • No. of Reflexive relations defined on a set of n elements = 2 n ( n 1 ) .
  • No. of Symmetric relations defined on a set of n elements = 2 n ( n + 1 ) 2 .
  • No. of Reflexive and Symmetric relations defined on a set of n elements = 2 n ( n 1 ) 2 .
  • No. of Transitive relations defined on a set having 0,1,2,3 and 4 elements are 1,2,13,171 and 3994 respectively.

 

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