Page 1
Sets and Relations
Institute of Lifelong Learning, University of Delhi pg. 1
Subject: Maths, Algebra-I
Lesson: Sets and Relations
Lesson Developer: B.K.Tyagi
College/Department: A.R.S.D College, Delhi University
Page 2
Sets and Relations
Institute of Lifelong Learning, University of Delhi pg. 1
Subject: Maths, Algebra-I
Lesson: Sets and Relations
Lesson Developer: B.K.Tyagi
College/Department: A.R.S.D College, Delhi University
Sets and Relations
Institute of Lifelong Learning, University of Delhi pg. 2
Table of Contents:
Chapter : Functions and Relations
? 1: Learning Outcomes
? 2: Introduction
? 3: Sets
o 3.1 Subset of a Set
? 4: Union and Intersection of sets
o 4.1: Arbitrary Unions and Intersections
? 5: Relations
o 5.1: Binary Relations
o 5.2: Reflexive, Symmetric and Transitive Relations
o 5.3: Equivalence Relations
o 5.4 : Partitions of Sets
? 6: Mappings
o 6.1: Identical Mapping
o 6.2: Composition of Mappings
o 6.3: One-One or Injective Mapping
o 6.4: Onto or Surjective Mapping
o 6.5: Bijective Mapping
o 6.6: Inverse Mapping
? 7: Finite Sets and Infinite Sets
o 7.1: Finite Sets
o 7.2: Infinite Sets
? Summary
? Exercises
? Glossary
? References/ Bibliography/ Further Reading
Page 3
Sets and Relations
Institute of Lifelong Learning, University of Delhi pg. 1
Subject: Maths, Algebra-I
Lesson: Sets and Relations
Lesson Developer: B.K.Tyagi
College/Department: A.R.S.D College, Delhi University
Sets and Relations
Institute of Lifelong Learning, University of Delhi pg. 2
Table of Contents:
Chapter : Functions and Relations
? 1: Learning Outcomes
? 2: Introduction
? 3: Sets
o 3.1 Subset of a Set
? 4: Union and Intersection of sets
o 4.1: Arbitrary Unions and Intersections
? 5: Relations
o 5.1: Binary Relations
o 5.2: Reflexive, Symmetric and Transitive Relations
o 5.3: Equivalence Relations
o 5.4 : Partitions of Sets
? 6: Mappings
o 6.1: Identical Mapping
o 6.2: Composition of Mappings
o 6.3: One-One or Injective Mapping
o 6.4: Onto or Surjective Mapping
o 6.5: Bijective Mapping
o 6.6: Inverse Mapping
? 7: Finite Sets and Infinite Sets
o 7.1: Finite Sets
o 7.2: Infinite Sets
? Summary
? Exercises
? Glossary
? References/ Bibliography/ Further Reading
Sets and Relations
Institute of Lifelong Learning, University of Delhi pg. 3
1. Learning Outcomes:
After you have read this chapter, you should be able to
? define
? understand
? identify
? differentiate
? appreciate
? apply the knowledge of
set theory, functions and relations to any field of knowledge.
2. Introduction:
In this chapter, the algebra of sets is described. It consists of the
operations of union, intersection, Cartesian product, power set etc. .These
operations are fundamental to any branch of mathematics. Relations and
functions are sets which are objects of investigation in every branch of
knowledge. Various types of relations and functions are described.
3. Sets:
Relations and functions are sets. So in order to understand what is a
function or a relation we need to understand the definition of a set. But
this is not straightforward to introduce the definition of a set .There are
many formal ways in which the definition of a set is introduced .The
collections of objects which an undergraduate student of mathematics
encounters in his daily life are accepted as sets by all definitions of a set.
For examples, the collections of: numbers, the voters of a state, the
undergraduate students in Delhi University in 2012 are all examples of
sets. Some collections of sets are also accepted as sets, but the collection
of all sets is not a set.
Value Addition: Remark
The definition of set: ”a set is a well-defined collection of objects” is not
valid since the term well-defined in the above definition remains
Page 4
Sets and Relations
Institute of Lifelong Learning, University of Delhi pg. 1
Subject: Maths, Algebra-I
Lesson: Sets and Relations
Lesson Developer: B.K.Tyagi
College/Department: A.R.S.D College, Delhi University
Sets and Relations
Institute of Lifelong Learning, University of Delhi pg. 2
Table of Contents:
Chapter : Functions and Relations
? 1: Learning Outcomes
? 2: Introduction
? 3: Sets
o 3.1 Subset of a Set
? 4: Union and Intersection of sets
o 4.1: Arbitrary Unions and Intersections
? 5: Relations
o 5.1: Binary Relations
o 5.2: Reflexive, Symmetric and Transitive Relations
o 5.3: Equivalence Relations
o 5.4 : Partitions of Sets
? 6: Mappings
o 6.1: Identical Mapping
o 6.2: Composition of Mappings
o 6.3: One-One or Injective Mapping
o 6.4: Onto or Surjective Mapping
o 6.5: Bijective Mapping
o 6.6: Inverse Mapping
? 7: Finite Sets and Infinite Sets
o 7.1: Finite Sets
o 7.2: Infinite Sets
? Summary
? Exercises
? Glossary
? References/ Bibliography/ Further Reading
Sets and Relations
Institute of Lifelong Learning, University of Delhi pg. 3
1. Learning Outcomes:
After you have read this chapter, you should be able to
? define
? understand
? identify
? differentiate
? appreciate
? apply the knowledge of
set theory, functions and relations to any field of knowledge.
2. Introduction:
In this chapter, the algebra of sets is described. It consists of the
operations of union, intersection, Cartesian product, power set etc. .These
operations are fundamental to any branch of mathematics. Relations and
functions are sets which are objects of investigation in every branch of
knowledge. Various types of relations and functions are described.
3. Sets:
Relations and functions are sets. So in order to understand what is a
function or a relation we need to understand the definition of a set. But
this is not straightforward to introduce the definition of a set .There are
many formal ways in which the definition of a set is introduced .The
collections of objects which an undergraduate student of mathematics
encounters in his daily life are accepted as sets by all definitions of a set.
For examples, the collections of: numbers, the voters of a state, the
undergraduate students in Delhi University in 2012 are all examples of
sets. Some collections of sets are also accepted as sets, but the collection
of all sets is not a set.
Value Addition: Remark
The definition of set: ”a set is a well-defined collection of objects” is not
valid since the term well-defined in the above definition remains
Sets and Relations
Institute of Lifelong Learning, University of Delhi pg. 4
undefined.
In this chapter, the capital letters A,B, …., X,Y,Z, possibly with suffixes,
are used to denote sets of objects. If an element a is in the set A, we
express this fact by the notation A a ? and read it as: "a belongs to A", "a
is in A", or "a is member of A". An object in A is also called an element of
A or a point in
1
A .
3.1. Subset of a Set:
A set A is said to be a subset of a set B , written as B A ? , if A x ? implies
that B x ? . Two sets A and B are said to be equal, denoted B A ? , if B A ?
and A B ? . For example, if integers, of set ? A
and numbers real of set the ? B ,
then B A ? , B is not a subset of A, and A and B are, of course, not equal,
that is B A ? . A set A is said to be a proper subset of set B, denoted B A ?
or B A
?
? , if B A ?
and B A ? .
Most often a set can be identified by a property that is common to all its
elements. For example,
? ? country a of capital a is :x x A ?
? ? 4 by divisible integer posiitve a is :k k B ? .
In the nineteenth century, a set was considered to be a collection of
elements having some property P, and clearly is the basis of the notation :
? ? P x x property the has : . Intuitively, it is difficult to see what possibly could go
wrong with this. In 1901, however, Russel made the crucial observation
that the above understanding of a set leads to a contradiction : Let A be
the set of all sets x such that x is not a member of x, that is
? ? x x x A ? ? : .
From this we get the contradiction : A A ? if and only if A A ? . This
contradiction is known as the Russel's paradox. Nevertheless, the notation
? ? P x x property the has : for a set is used extensively in mathematics .
Page 5
Sets and Relations
Institute of Lifelong Learning, University of Delhi pg. 1
Subject: Maths, Algebra-I
Lesson: Sets and Relations
Lesson Developer: B.K.Tyagi
College/Department: A.R.S.D College, Delhi University
Sets and Relations
Institute of Lifelong Learning, University of Delhi pg. 2
Table of Contents:
Chapter : Functions and Relations
? 1: Learning Outcomes
? 2: Introduction
? 3: Sets
o 3.1 Subset of a Set
? 4: Union and Intersection of sets
o 4.1: Arbitrary Unions and Intersections
? 5: Relations
o 5.1: Binary Relations
o 5.2: Reflexive, Symmetric and Transitive Relations
o 5.3: Equivalence Relations
o 5.4 : Partitions of Sets
? 6: Mappings
o 6.1: Identical Mapping
o 6.2: Composition of Mappings
o 6.3: One-One or Injective Mapping
o 6.4: Onto or Surjective Mapping
o 6.5: Bijective Mapping
o 6.6: Inverse Mapping
? 7: Finite Sets and Infinite Sets
o 7.1: Finite Sets
o 7.2: Infinite Sets
? Summary
? Exercises
? Glossary
? References/ Bibliography/ Further Reading
Sets and Relations
Institute of Lifelong Learning, University of Delhi pg. 3
1. Learning Outcomes:
After you have read this chapter, you should be able to
? define
? understand
? identify
? differentiate
? appreciate
? apply the knowledge of
set theory, functions and relations to any field of knowledge.
2. Introduction:
In this chapter, the algebra of sets is described. It consists of the
operations of union, intersection, Cartesian product, power set etc. .These
operations are fundamental to any branch of mathematics. Relations and
functions are sets which are objects of investigation in every branch of
knowledge. Various types of relations and functions are described.
3. Sets:
Relations and functions are sets. So in order to understand what is a
function or a relation we need to understand the definition of a set. But
this is not straightforward to introduce the definition of a set .There are
many formal ways in which the definition of a set is introduced .The
collections of objects which an undergraduate student of mathematics
encounters in his daily life are accepted as sets by all definitions of a set.
For examples, the collections of: numbers, the voters of a state, the
undergraduate students in Delhi University in 2012 are all examples of
sets. Some collections of sets are also accepted as sets, but the collection
of all sets is not a set.
Value Addition: Remark
The definition of set: ”a set is a well-defined collection of objects” is not
valid since the term well-defined in the above definition remains
Sets and Relations
Institute of Lifelong Learning, University of Delhi pg. 4
undefined.
In this chapter, the capital letters A,B, …., X,Y,Z, possibly with suffixes,
are used to denote sets of objects. If an element a is in the set A, we
express this fact by the notation A a ? and read it as: "a belongs to A", "a
is in A", or "a is member of A". An object in A is also called an element of
A or a point in
1
A .
3.1. Subset of a Set:
A set A is said to be a subset of a set B , written as B A ? , if A x ? implies
that B x ? . Two sets A and B are said to be equal, denoted B A ? , if B A ?
and A B ? . For example, if integers, of set ? A
and numbers real of set the ? B ,
then B A ? , B is not a subset of A, and A and B are, of course, not equal,
that is B A ? . A set A is said to be a proper subset of set B, denoted B A ?
or B A
?
? , if B A ?
and B A ? .
Most often a set can be identified by a property that is common to all its
elements. For example,
? ? country a of capital a is :x x A ?
? ? 4 by divisible integer posiitve a is :k k B ? .
In the nineteenth century, a set was considered to be a collection of
elements having some property P, and clearly is the basis of the notation :
? ? P x x property the has : . Intuitively, it is difficult to see what possibly could go
wrong with this. In 1901, however, Russel made the crucial observation
that the above understanding of a set leads to a contradiction : Let A be
the set of all sets x such that x is not a member of x, that is
? ? x x x A ? ? : .
From this we get the contradiction : A A ? if and only if A A ? . This
contradiction is known as the Russel's paradox. Nevertheless, the notation
? ? P x x property the has : for a set is used extensively in mathematics .
Sets and Relations
Institute of Lifelong Learning, University of Delhi pg. 5
Consider the set
? ? 4 an greater th and 3 than less is that such integer an is : x x x A ? .
Since, there is no integer less than 3 and greater than 4, the set A does
not contain any element. Such a set is called an empty set, and is usually
denoted by F. Thus, an empty set F is a set which contains no element.
An empty set is also called a null set. An empty set is unique, and
therefore we speak of "the empty set". The empty set is a proper subset
of every non-empty set.
If a set contains only one element x, it is denoted by ? ? x and called a
singleton.
4. Union and Intersection of Sets:
The sets are combined in several ways to obtain new sets. The operation
of union " " ? applied to two sets
1
A and
2
A ,denoted
2 1
A A ? , is defined as
? ?
2 1 2 1
or : A x A x x A A ? ? ? ? .
Similarly, if there are n sets
n
A A A ,..., ,
2 1
, their union, denoted
?
n
i
i
A
1 ?
, is
defined as
? ? ? ? n i A x x A
i
n
i
i
,..., 2 , 1 some for :
1
? ? ?
?
?
.
The notation
?
n
i
i
A
1 ?
is an abbreviation for
n
A A A ? ? ? ...
2 1
. The union of a
finite number of sets is termed as "the finite union".
The operation of intersection when applied to two sets produces the set of
common elements in those two sets. Formally, if
1
A and
2
A are two sets,
then the intersection of
1
A and
2
A , denoted
2 1
A A ? , is defined as
? ?
2 1 2 1
and : A x A x x A A ? ? ? ? .
The symbol " " ? stands for the intersection. Similarly, if
n
A A A ,..., ,
2 1
are
sets, their intersection, denoted
?
n
i
i
A
1 ?
, is defined as
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