Reflexive Relations-Definition, Formula, Types, Examples | Class 11 Math Notes Study Material Download Free PDF

This article helps you learn about Reflexive Relation in detail including all the various subtopics such as Definition, Meaning, Properties of Reflexive Relation, etc. Other than that we will also learn how to verify any relation to be Reflexive Relation.

Reflexive Relations: Definition, Formula, Types, Examples | Class 11 Math Notes Study Material Download Free PDF

What is Reflexive Relation?

A reflexive relation is a type of binary relation on a set where every element in the set is related to itself. In other words, for any element “a” in the set, the pair (a, a) is a part of the relation. Formally, a relation R on a set A is reflexive if, for all elements “a” in A, (a, a) is in R.

For example, the “is equal to” relation (denoted by “=”) is a reflexive relation on the set of real numbers, because every real number is equal to itself. Similarly, the “is a parent of” relation on the set of people is reflexive because every person is their own parent (in a biological sense).

Reflexive Relation Definition

A relation R on a set A is called a reflexive relation if

(a, a) ∈ R ∀ a ∈ A, i.e. aRa for all a ∈ A, where R is a subset of (A x A), i.e. the cartesian product of set A with itself.

Reflexive Relation Meaning

This means if element “a” is present in set A, then a relation “a” to “a” (aRa) should be present in the relation R. If any such aRa is not present in R then R is not a reflexive relation.

A reflexive relation is denoted as:

R = {(a, a): a ∈ A}

Example: Consider set A = {a, b} and R = {(a, a), (b, b)}. Here R is a reflexive relation as for both a and b, aRa and bRb are present in the set.

Examples of Reflexive Relations

A reflexive relation is a type of binary relation on a set where every element in the set is related to itself. In other words, for all elements a in the set, the pair (a, a) is in the relation. Here are some examples of reflexive relations:

  • Equality: The relation of equality on any set is reflexive. For any element a in the set, (a, a) is in the relation. For example, on the set of real numbers, if a = b, then (a, b) is in the relation.
  • “Is a parent of” Relation: On the set of all people, the relation “is a parent of” is reflexive because everyone is their own parent. For any person a, (a, a) is in the relation.
  • “Is a sibling of” Relation: On the set of all people, the relation “is a sibling of” is not reflexive, because individuals are not considered siblings to themselves. So, for any person a, (a, a) is not in the relation.
  • “Is a multiple of” Relation: On the set of integers, the relation “is a multiple of” is reflexive because every integer is a multiple of itself. For any integer a, (a, a) is in the relation.
  • “Is a subset of” Relation: On the set of all sets, the relation “is a subset of” is reflexive because every set is a subset of itself. For any set A, (A, A) is in the relation.
  • Is congruent modulo n” Relation: On the set of integers, the relation “is congruent modulo n” is reflexive because every integer is congruent to itself modulo any integer n. For any integer a, (a, a) is in the relation.

Number of Reflexive Relations

The number of reflexive relations on an n-element set is 2n(n-1)

Reflexive Relation Formula

To represent the number of reflexive relations on a set with n elements mathematically, you can use the following formula:

Number of Reflexive Relations = 2(n(n-1))

Properties of a Reflexive Relation

Some properties of Reflexive Relation are:

  • Empty relation on a non-empty relation set is never reflexive.
  • Relation defined on an empty set is always reflexive.
  • Universal relation defined on any set is always reflexive.

How to verify a Reflexive Relation?

To verify any relation is reflexive or not, we can use following steps:

  • Check for the existence of every aRa tuple in the relation for all a present in the set.
  • If every tuple exists, only then the relation is reflexive. Otherwise, not reflexive.

Follow the below illustration for a better understanding:

Example: Consider set A = {a, b} and a relation R = {{a, a}, {a, b}}.

For the element a in A:

⇒ The pair {a, a} is present in R.

⇒ Hence aRa is satisfied.
For the element b in A:

⇒ The pair {b, b} is not present int R.

⇒ Hence bRb is not satisfied.

As the condition for ‘b’ is not satisfied, the relation is not reflexive.

Some related relation to reflexive relation are:

  • Anti-Reflexive Relation
  • Co-reflexive Relation
  • Left Quasi-Reflexive Relation
  • Right Quasi-Reflexive Relation

Anti-Reflexive Relation

An antireflexive relation (also known as irreflexive relation) is a binary relation on a set where no element is related to itself. In other words, for all elements a in the set, the pair (a, a) is not in the relation.

To express this concept more formally, a relation R on a set A is antireflexive if and only if for all elements a in A, the following statement is true:

∀a ∈ A, (a, a) ∉ R

Co-Reflexive Relation

A coreflexive relation (or covariant relation) is a binary relation on a set where all elements that are related to each other must be related to themselves. In other words, if (a, b) is in the relation, then both (a, a) and (b, b) must also be in the relation.

Formally, a relation R on a set A is coreflexive if and only if for all elements a and b in A, the following statement is true:

If (a, b) ∈ R, then both (a, a) and (b, b) must be in R.

Left Quasi-Reflexive Relation

A left quasi-reflexive relation is a binary relation on a set where every element in the set is related to itself from the left side, but not necessarily from the right side. In other words, for all elements a in the set, there is a requirement that (a, a) is in the relation, but it is not necessary for (a, a) to be in the relation for every element from the right side of the pair.

Right Quasi-Reflexive Relation

A right quasi-reflexive relation is a binary relation on a set where every element in the set is related to itself from the right side, but not necessarily from the left side. In other words, for all elements a in the set, there is a requirement that (a, a) is in the relation, but it is not necessary for (a, a) to be in the relation for every element from the left side of the pair.

Solved Problems on Reflexive Relation

Problem 1: Consider a set A = 1, 2, 3, and let R be a relation on A defined by R = (1, 1), (2, 2), (3, 3), (1, 2), (2, 1). Determine whether the relation R is reflexive.

Solution:

A relation is reflexive if every element in the set is related to itself. In this case, we need to check whether (a, a) is in R for every a in A. Let’s check:

  • For a = 1, (1, 1) is in R.
  • For a = 2, (2, 2) is in R.
  • For a = 3, (3, 3) is in R.

Since every element in A is related to itself, the relation R is reflexive.

Problem 2: Let B be the set of all people, and define a relation S on B by S = (x, y) \mid x is a sibling of y. Determine whether the relation S is reflexive.

Solution:

For a relation to be reflexive, every element in the set must be related to itself. In the context of siblings, this means every person is a sibling to themselves, which is not true. Therefore, the relation S is not reflexive.

Problem 3: Consider the set C = a, b, c, and define a relation T on C by T = (a, a), (b, b), (c, c), (a, b), (b, a), (b, c), (c, b). Determine whether the relation T is reflexive.

Solution:

To check if T is reflexive, we need to ensure that (a, a), (b, b), and (c, c) are all in T. Let’s check:

  • (a, a) is in T.
  • (b, b) is in T.
  • (c, c) is in T.

Since every element in C is related to itself, the relation T is reflexive.

Reflexive Relations Practice Questions

  1. Consider the set {1, 2, 3}. Find all possible reflexive relations on this set.
  2. On the set of real numbers, define a new relation T as follows: (x, y) is in relation T if and only if x = y^2. Is relation T reflexive?
  3. On the set of integers, define a relation U as follows: (m, n) is in relation U if and only if m divides n. Is relation U reflexive?
  4. Determine whether the following relations are reflexive or not:
    • R = {(x, x) | x is a prime number}
    • S = {(a, a) | a is an even integer}

Reflexive Relation – FAQs

1. What is Reflexive Relation?

A reflexive relation on a set is one where every element of the set is related to itself. In other words, for all elements a in the set, (a,a) is a part of the relation.

2. Give an example of a Reflexive Relation.

Certainly. Let’s consider the set of all real numbers, and define a relation R such that R={(x,x)∣x∈R}. This relation R is reflexive because every real number is related to itself.

3. Is the Equality Relation always Reflexive?

Yes, the equality relation is always reflexive. For any element a in a set, a=a, so the pair (a,a) is always in the relation.

4. Are There any sets for which a Reflexive Relation is not Possible?

No, every set has at least one reflexive relation—the trivial reflexive relation, which includes all pairs (a,a) for every element a in the set.

5. Can a Relation be Reflexive and Symmetric, but not Transitive?

Yes, it’s possible. A relation can be reflexive and symmetric without being transitive. Consider a set A and a relation R defined as follows: R={(a,b),(b,a),(a,a),(b,b)}. This relation is reflexive because it includes (a,a) and (b,b), and it’s symmetric because whenever (a,b) is in the relation, (b,a) isalso in the relation. However, it is not transitive because, for example, (a,b) and (b,a) are in the relation, but (a,a) is not, breaking the transitive property.

6. How can We determine if a Relation is Reflexive?

To determine if a relation is reflexive, check if every element in the set is related to itself. If for every element a in the set, the pair (a,a) is in the relation, then the relation is reflexive.

7. Can a Relation be both Reflexive and Irreflexive?

No, a relation cannot be both reflexive and irreflexive. A relation is reflexive if every element is related to itself, while it is irreflexive if no element is related to itself.

8. Is the Empty Relation Reflexive?

Yes, the empty relation (a relation with no pairs) is reflexive because it vacuously satisfies the condition that for every element in the set, the pair (a,a) is in the relation.

Er. Neeraj K.Anand is a freelance mentor and writer who specializes in Engineering & Science subjects. Neeraj Anand received a B.Tech degree in Electronics and Communication Engineering from N.I.T Warangal & M.Tech Post Graduation from IETE, New Delhi. He has over 30 years of teaching experience and serves as the Head of Department of ANAND CLASSES. He concentrated all his energy and experiences in academics and subsequently grew up as one of the best mentors in the country for students aspiring for success in competitive examinations. In parallel, he started a Technical Publication "ANAND TECHNICAL PUBLISHERS" in 2002 and Educational Newspaper "NATIONAL EDUCATION NEWS" in 2014 at Jalandhar. Now he is a Director of leading publication "ANAND TECHNICAL PUBLISHERS", "ANAND CLASSES" and "NATIONAL EDUCATION NEWS". He has published more than hundred books in the field of Physics, Mathematics, Computers and Information Technology. Besides this he has written many books to help students prepare for IIT-JEE and AIPMT entrance exams. He is an executive member of the IEEE (Institute of Electrical & Electronics Engineers. USA) and honorary member of many Indian scientific societies such as Institution of Electronics & Telecommunication Engineers, Aeronautical Society of India, Bioinformatics Institute of India, Institution of Engineers. He has got award from American Biographical Institute Board of International Research in the year 2005.

CBSE Class 11 Maths Syllabus for 2023-24 with Marking Scheme

CBSE syllabus for class 11 Maths is divided into 5 units. The table below shows the units, number of periods and marks allocated for maths subject. The maths theory paper is of 80 marks and the internal assessment is of 20 marks.

No.UnitsMarks
I.Sets and Functions23
II.Algebra25
III.Coordinate Geometry12
IV.Calculus08
V.Statistics and Probability12
Total Theory80
Internal Assessment20
Grand Total100

2025-26 CBSE Class 11 Maths Syllabus

Below you will find the CBSE Class Maths Syllabus for students.

Unit-I: Sets and Functions

1. Sets

Sets and their representations, empty sets, finite and infinite sets, equal sets, subsets, and subsets of a set of real numbers, especially intervals (with notations), universal set, Venn diagrams, union and intersection of sets, difference of sets, complement of a set and properties of complement.

2. Relations & Functions

Ordered pairs, Cartesian product of sets, number of elements in the Cartesian product of two finite sets, Cartesian product of the set of reals with itself (upto R x R x R), definition of relation, pictorial diagrams, domain, co-domain and range of a relation. Function as a special type of relation. Pictorial representation of a function, domain, co-domain and range of a function. Real valued functions, domain and range of these functions, constant, identity, polynomial, rational, modulus, signum, exponential, logarithmic and greatest integer functions, with their graphs. Sum, difference, product and quotients of functions.

3. Trigonometric Functions

Positive and negative angles, measuring angles in radians and in degrees and conversion from one measure to another, definition of trigonometric functions with the help of unit circle, truth of the identity, signs of trigonometric functions, domain and range of trigonometric functions and their graphs, expressing sin (x±y) and cos (x±y) in terms of sinx, siny, cosx & cosy and their simple applications.

Unit-II: Algebra

1. Complex Numbers and Quadratic Equations

Need for complex numbers, especially√−1, to be motivated by the inability to solve some of the quadratic equations. Algebraic properties of complex numbers, Argand plane.

2. Linear Inequalities

Linear inequalities, algebraic solutions of linear inequalities in one variable and their representation on the number line.

3. Permutations and Combinations

The fundamental principle of counting. Factorial n. (n!) Permutations and combinations, derivation of Formulae for nPr and nCr and their connections, simple applications.

4. Binomial Theorem

Historical perspective, statement and proof of the binomial theorem for positive integral indices, Pascal’s triangle, simple applications.

5. Sequence and Series

Sequence and series, arithmetic progression (A. P.), arithmetic mean (A.M.),  geometric progression (G.P.), general term of a G.P., sum of n terms of a G.P., infinite G.P. and its sum, geometric mean (G.M.), relation between A.M. and G.M.

Unit-III: Coordinate Geometry

1. Straight Lines

Brief recall of two-dimensional geometry from earlier classes. Slope of a line and angle between two lines. Various forms of equations of a line: parallel to axis, point-slope form, slope-intercept form, two-point form, intercept form and normal form. General equation of a line. Distance of a point from a line.

2. Conic Sections

Sections of a cone: circles, ellipse, parabola, hyperbola, a point, a straight line and a pair of intersecting lines as a degenerated case of a conic section. Standard equations and simple properties of parabola, ellipse and hyperbola. Standard equation of a circle.

3. Introduction to Three-Dimensional Geometry

Coordinate axes and coordinate planes in three dimensions. Coordinates of a point. Distance between two points.

Unit-IV: Calculus

1. Limits and Derivatives

Derivative introduced as rate of change both as that of distance function and geometrically, intuitive idea of limit, limits of polynomials and rational functions trigonometric, exponential and logarithmic functions, definition of derivative relate it to the slope of the tangent of the curve, derivative of sum, difference, product and quotient of functions. Derivatives of polynomial and trigonometric functions.

Unit-V: Statistics and Probability

1. Statistics

Measures of Dispersion: Range, mean deviation, variance and standard deviation of ungrouped/grouped data.

2. Probability

Events; occurrence of events, ‘not’, ‘and’ and ‘or’ events, exhaustive events, mutually exclusive events, Axiomatic (set theoretic) probability, connections with other theories of earlier classes. Probability of an event, probability of ‘not’, ‘and’ and ‘or’ events.

Students can also get the syllabus of all the subjects by visiting CBSE Class 11 Syllabus page. Learn Maths & Science in an interactive & fun-loving way with Anand Classes App/Tablet.

Frequently Asked Questions on CBSE Class 11 Maths Syllabus 2025-26

Q1

What is the marks distribution for internals and theory exams according to the CBSE Maths Syllabus for Class 11?

The marks distribution for internals is 20 marks and the theory exam is 80 marks based on the CBSE Class 11 Maths Syllabus.

Q2

Which is the most important chapter in the CBSE Class 11 Maths Syllabus?

The important chapter in the CBSE Class 11 Maths Syllabus is Algebra which is for 25 marks in the overall weightage.

Q3

What are the chapters covered in Unit III of the CBSE Class 11 Maths Syllabus?

The chapters covered in Unit III of the CBSE Class 11 Maths Syllabus are straight lines, conic sections and an introduction to three-dimensional geometry.