โ Define set.
A collection of well-defined distinct object is called set. It is denoted by capital letters \(A\), \(B\), \(C\) etc. For example, \(A = \{ 1, 2, 3, 4 \}\).
Complete Reference Guide for Class 9 Mathematics
Prepared by Muhammad Tayyab (SSE Math)
Govt. Christian High School Daska
Sets ยท Subsets ยท Union & Intersection ยท Functions ยท Venn Diagrams
Class 9 Mathematics | Punjab Curriculum and Textbook Board Syllabus 2025
A collection of well-defined distinct object is called set. It is denoted by capital letters \(A\), \(B\), \(C\) etc. For example, \(A = \{ 1, 2, 3, 4 \}\).
A set can be described using three different methods:
A set is described in words without listing its elements. For example, the set of all vowels in the English alphabet.
A set is described by listing its elements within curly brackets \(\{ \}\). For example, if A is the set of vowels, we write:
\[A = \{ a, e, i, o, u \}\]
A set is described by stating a property that all its elements share. For example, the set of vowels can be written as:
\[A = \{ x \mid x \text{ is a vowel of the English alphabet} \}\]
Note: In algebra, we usually deal with sets of numbers. Such sets, along with their names, are given below:
A set with only one element is called a singleton set. For example, \(\{ 3 \}\), \(\{ a \}\), and \(\{ \text{Saturday} \}\) are singleton sets.
The set with no elements (zero number of elements) is called an empty set, null set, or void set. The empty set is denoted by the symbol \(\varnothing\) or \(\{ \}\).
Two sets \(A\) and \(B\) are equal if they have exactly the same elements or if every element of set \(A\) is an element of set \(B\). If two sets \(A\) and \(B\) are equal, we write \(A = B\).
Thus, the sets \(\{ 1, 2, 3 \}\) and \(\{ 2, 1, 3 \}\) are equal.
Two sets \(A\) and \(B\) are equivalent if they have the same number of elements. For example, if \(A = \{ a, b, c, d, e \}\) and \(B = \{ 1, 2, 3, 4, 5 \}\), then \(A\) and \(B\) are equivalent sets. The symbol \(\sim\) is used to represent equivalent sets. Thus, we can write \(A \sim B\).
If every element of a set \(A\) is an element of set \(B\), then \(A\) is a subset of \(B\). Symbolically, this is written as \(A \subseteq B\) (\(A\) is a subset of \(B\)).
In such a case, we say B is a superset of A. Symbolically, this is written as: \(B \supseteq A\) (\(B\) is a superset of \(A\)).
If \(A\) is a subset of \(B\) and \(B\) contains at least one element that is not an element of \(A\), then \(A\) is said to be a proper subset of \(B\). In such a case, we write:
\[A \subset B \quad (A \text{ is a proper subset of } B)\]
If \(A\) is a subset of \(B\) and \(A = B\), then we say that \(A\) is an improper subset of \(B\). From this definition, it also follows that every set is a subset of itself and is called an improper subset.
For example, let \(A = \{ a, b, c \}\), \(B = \{ c, a, b \}\) and \(C = \{ a, b, c, d \}\), then clearly: \(A \subset C\), \(B \subset C\) but \(A = B\).
Note: Notice that each of sets \(A\) and \(B\) is an improper subset of the other because \(A = B\).
The set that contains all objects or elements under consideration is called the universal set or the universe of discourse. It is denoted by \(U\).
The power set of a set \(S\) denoted by \(P(S)\) is the set containing all the possible subsets of \(S\). If \(S\) is a finite set with \(n(S) = m\), representing the number of elements in set \(S\), then:
\[n\{ P(S) \} = 2^{m}\]
This represents the number of elements in the power set.
Note:
The union of two sets \(A\) and \(B\), denoted by \(A \cup B\), is the set of all elements that belong to \(A\) or \(B\).
Symbolically,
\[A \cup B = \{ x \mid x \in A \lor x \in B \}\]
For example, if \(A = \{ 1, 2 \}\) and \(B = \{ 1, 3 \}\), then
\[A \cup B = \{ 1, 2 \} \cup \{ 1, 3 \} = \{ 1, 2, 3 \}\]
The intersection of two sets \(A\) and \(B\), written as \(A \cap B\), is the set of all elements that belong to both \(A\) and \(B\). Symbolically,
\[A \cap B = \{ x \mid x \in A \land x \in B \}\]
For example, if \(A = \{ 1, 2 \}\) and \(B = \{ 1, 3 \}\), then
\[A \cap B = \{ 1, 2 \} \cap \{ 1, 3 \} = \{ 1 \}\]
The set difference of \(A\) and \(B\) denoted by \(A - B\), consists of all elements that belong to \(A\) but do not belong to \(B\). Symbolically,
\[A - B = \{ x \mid x \in A \land x \notin B \}\]
\[B - A = \{ x \mid x \in B \land x \notin A \}\]
For example, if \(A = \{ 1, 2 \}\) and \(B = \{ 1, 3 \}\), then
\[A - B = \{ 1, 2 \} - \{ 1, 3 \} = \{ 2 \}\]
The complement of a set \(A\), denoted by \(A'\) or \(A^{c}\), relative to the universal set \(U\) is the set of all elements of \(U\) that do not belong to \(A\). Symbolically,
\[A' = U - A\]
\[A' = \{ x \mid x \in U \land x \notin A \}\]
For example, if \(U = \{ 1, 2, 3, 4, 5 \}\) and \(A = \{ 1, 3 \}\), then
\[A' = U - A = \{ 1, 2, 3, 4, 5 \} - \{ 1, 3 \} = \{ 2, 4, 5 \}\]
If the intersection of two sets is the empty set, the sets are said to be disjoint. For example, if:
\[S_1 = \text{The set of odd natural numbers}\]
\[S_2 = \text{The set of even natural numbers}\]
Then, \(S_1\) and \(S_2\) are disjoint sets because they have no common elements. Similarly, the set of arts students and the set of science students in a school are disjoint sets.
If the intersection of two sets is non-empty but neither is a subset of the other, the sets are called overlapping sets. For example: If
\[L = \{ 2, 3, 4, 5, 6, 7, 8, 9 \}\]
\[M = \{ 5, 6, 7, 8, 9, 10 \}\]
then \(L\) and \(M\) are overlapping sets because they have common elements.
British mathematician John Venn (1834-1923) introduced rectangle for a universal set \(U\) and its subsets \(A\) and \(B\) as closed figures inside this rectangle.
The cardinality of a set is defined as the total number of elements of a set. It represents the size of the set.
For a non-empty set, the cardinality of a set is denoted by \(n(A)\). For example, if
\[A = \{ 1, 3, 5, 7, 9, 11 \}\]
then \(n(A) = 6\) because the set has \(6\) elements.
To find the cardinality of a set, we use a rule called the Inclusion-Exclusion Principle, which helps calculate the number of elements in the union of two or more sets by avoiding overcounting.
If \(A\) and \(B\) are finite sets, then:
\[n(A \cup B) = n(A) + n(B) - n(A \cap B)\]
Note: \(A \cup B\) and \(A \cap B\) are also finite sets.
If \(A\), \(B\), and \(C\) are finite sets, then:
\[n(A \cup B \cup C) = n(A) + n(B) + n(C) - n(A \cap B) - n(A \cap C) - n(B \cap C) + n(A \cap B \cap C)\]
Note: \(A \cup B \cup C\), \(A \cap B\), \(A \cap C\), \(B \cap C\), and \(A \cap B \cap C\) are also finite sets.
In everyday use, a relation refers to an abstract connection between two people or objects, such as: \((\text{Teacher}, \text{Pupil})\), \((\text{Mother}, \text{Son})\), \((\text{Husband}, \text{Wife})\), \((\text{Brother}, \text{Sister})\), \((\text{Friend}, \text{Friend})\) etc.
In mathematics, a relation is any set of ordered pairs. The relationship between the components of an ordered pair may or may not be mentioned.
Examples of Mathematical Relations:
Let \(A\) and \(B\) be two non-empty sets. The Cartesian product is the set of all ordered pairs \((x, y)\) such that \(x \in A\) and \(y \in B\) and is denoted by \(A \times B\). Symbolically,
\[A \times B = \{ (x, y) \mid x \in A \land y \in B \}\]
Any subset of the Cartesian product \(A \times B\) is called a binary relation or simply a relation, from \(A\) to \(B\). It is usually represented by the letter \(r\).
Domain: The domain of a relation is the set of first elements of the ordered pairs. It is written as \(\text{Dom } r\).
Range: The range of a relation is the set of second elements of the ordered pairs. It is written as \(\text{Ran } r\).
Example: if \(A = \{ 1, 2, 3 \}\) and \(B = \{ 2, 3 \}\), then relation \(r: A \rightarrow B\) such that \(r = \{ (x, y) \mid x < y \}\)
\[A \times B = \{ 1, 2, 3 \} \times \{ 2, 3 \}\]
\[A \times B = \{ (1,2), (1,3), (2,2), (2,3), (3,2), (3,3) \}\]
Since \(r = \{ (x, y) \mid x < y \}\), so
\[r = \{ (1,2), (1,3), (2,3) \}\]
\[\text{Dom } r = \{ 1, 2 \}\]
\[\text{Ran } r = \{ 2, 3 \}\]
If \(A\) is a non-empty set, any subset of \(A \times A\) is called a relation on \(A\).
A very important particular type of relation is a function defined as below:
Let \(A\) and \(B\) be two non-empty sets such that:
The function \(f\) is also written as: \(f: A \rightarrow B\).
If \(\mathbf{A = \{ 0, 1, 2, 3, 4 \}}\) and \(\mathbf{B = \{ 3, 5, 7, 9, 11 \}}\) define a function \(\mathbf{f: A \rightarrow B}\) where:
\[\mathbf{f = \{ (x, y) \mid y = 2x + 3, x \in A, y \in B \}}\]
Find the value of function f, its domain, co-domain, and range.
| \(\mathbf{x}\) (Domain \(\mathbf{A}\)) | \(\mathbf{y = 2x + 3}\) (Range \(\mathbf{B}\)) |
|---|---|
| \(\mathbf{0}\) | \(2(0) + 3 = 3\) |
| \(\mathbf{1}\) | \(2(1) + 3 = 5\) |
| \(\mathbf{2}\) | \(2(2) + 3 = 7\) |
| \(\mathbf{3}\) | \(2(3) + 3 = 9\) |
| \(\mathbf{4}\) | \(2(4) + 3 = 11\) |
Thus, the function is:
\[f = \{ (0,3), (1,5), (2,7), (3,9), (4,11) \}\]
If \(f: A \rightarrow B\) is a function, then \(A\) is called the domain of \(f\) and \(B\) is called co-domain of \(f\).
If a function \(f: A \rightarrow B\) is such that \(\text{Range } f \subset B\) i.e., \(\text{Range } f \neq B\), then \(f\) is said to be a function from \(A\) into \(B\).
If a function \(f: A \rightarrow B\) is such that second elements of no two of its ordered pairs are the same, then it is called an injective function.
If a function \(f: A \rightarrow B\) is such that \(\text{Range } f = B\), i.e., every element of \(B\) is the image of some element of A, then \(f\) is called an onto function or a surjective function.
A function \(f: A \rightarrow B\) is said to be a Bijective function if it is both one-one and onto. Such a function is also called a \((1-1)\) correspondence between the sets \(A\) and \(B\).
Example: \((a, z)\), \((b, x)\), and \((c, y)\) are the pairs of corresponding elements.
In this case, \(f = \{ (a, z), (b, x), (c, y) \}\) is a bijective function or \((1-1)\) correspondence between the sets \(A\) and \(B\).
We know that set-builder notation is more suitable for infinite sets. The same applies to a function comprising an infinite number of ordered pairs.
Example: Consider the function:
\[f = \{ (-1,1), (0,0), (1,1), (2,4), (3,9), (4,16), \ldots \}\]
\[\text{Domain of } f = \{ -1, 0, 1, 2, 3, 4, \ldots \}\]
\[\text{Range of } f = \{ 0, 1, 4, 9, 16, \ldots \}\]
This function may also be written as:
\[f = \{ (x, y) \mid y = x^2, x \in \mathbb{N} \}\]
A function of the form \(\{ (x, y) \mid y = mx + c \}\) is called a linear function because its geometric representation is a straight line.
The equation \(y = mx + c\) represents a straight line, where \(m\) is the slope and \(c\) is the \(y\)-intercept.
A function of the form \(\{ (x, y) \mid y = ax^2 + bx + c \}\) is called a quadratic function. It represents a parabolic curve in geometric representation.
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