
If \[A = \left[ {\begin{array}{*{20}{c}}
1&2&3
\end{array}} \right],B = \left[ {\begin{array}{*{20}{c}}
2 \\
3 \\
4
\end{array}} \right]\,and\,C = \left[ {\begin{array}{*{20}{c}}
1&5 \\
0&2
\end{array}} \right]\], then which of the following is defined?
A.\[AB\]
B.\[BA\]
C.\[\left( {AB} \right).C\]
D.\[\left( {AC} \right).B\]
Answer
232.8k+ views
Hint: Multiplication of two matrices A and B is defined when the number of columns of A is equal to the number of rows of B. To multiply entries in rows by equivalent entries in columns, multiply the first row's entries by the first column's entries, and so on for all other entries.
Formula Used: If \[A = {[{a_{ij}}]_{m \times n}}\] and \[B = {[{b_{ij}}]_{n \times p}}\] then we can say that \[A \times B = C\] where the value of C is
\[C = {[{c_{ij}}]_{m \times p}}\]
Here \[{c_{ij}} = \mathop \sum \limits_{j = 1}^m {a_{ij}}{b_{jk}} = {a_{i1}}{b_{1k}} + {a_{i2}}{b_{2k}} + ........ + {a_{im}}{b_{mk}}\]
Complete step by step Solution:
We are given that,
\[A = \left[ {\begin{array}{*{20}{c}}
1&2&3
\end{array}} \right],B = \left[ {\begin{array}{*{20}{c}}
2 \\
3 \\
4
\end{array}} \right]\,and\,C = \left[ {\begin{array}{*{20}{c}}
1&5 \\
0&2
\end{array}} \right]\]
Since in A and B, the number of columns of A is equal to the number of rows of B. Multiplication of A and B is defined. Therefore, we have,
\[AB = {\left[ {\begin{array}{*{20}{c}}
1&2&3
\end{array}} \right]_{1 \times 3}}{\left[ {\begin{array}{*{20}{c}}
2 \\
3 \\
4
\end{array}} \right]_{3 \times 1}}\]= \[{\left[ {20} \right]_{1 \times 1}}\]
Similarly in B and A, the number of columns in B is equal to the number of rows in A. The multiplication of B and A is defined. Therefore, we have,
\[BA = {\left[ {\begin{array}{*{20}{c}}
2 \\
3 \\
4
\end{array}} \right]_{3 \times 1}}{\left[ {\begin{array}{*{20}{c}}
1&2&3
\end{array}} \right]_{1 \times 3}} = {\left[ {\begin{array}{*{20}{c}}
2&4&6 \\
3&6&9 \\
4&8&{12}
\end{array}} \right]_{3 \times 3}}\]
In AB and C, the number of columns of AB is 1 which is not equal to the number of rows of C which is 2. Therefore, the Multiplication of AB and C is not defined.
In A and C, the number of columns of A which is 3 is not equal to the number of rows of C which is 2. Hence Multiplication of A and C is not defined. Therefore, the multiplication of AC and B is not defined.
Therefore, the correct option is (A) and (B).
Note:It is important to note that matrix multiplication is defined in a complex manner. It is not just multiplying each respective element of both matrices like addition. In Matrix Multiplication, we multiply an m × n matrix with n × p matrix to get m × p matrix.
Formula Used: If \[A = {[{a_{ij}}]_{m \times n}}\] and \[B = {[{b_{ij}}]_{n \times p}}\] then we can say that \[A \times B = C\] where the value of C is
\[C = {[{c_{ij}}]_{m \times p}}\]
Here \[{c_{ij}} = \mathop \sum \limits_{j = 1}^m {a_{ij}}{b_{jk}} = {a_{i1}}{b_{1k}} + {a_{i2}}{b_{2k}} + ........ + {a_{im}}{b_{mk}}\]
Complete step by step Solution:
We are given that,
\[A = \left[ {\begin{array}{*{20}{c}}
1&2&3
\end{array}} \right],B = \left[ {\begin{array}{*{20}{c}}
2 \\
3 \\
4
\end{array}} \right]\,and\,C = \left[ {\begin{array}{*{20}{c}}
1&5 \\
0&2
\end{array}} \right]\]
Since in A and B, the number of columns of A is equal to the number of rows of B. Multiplication of A and B is defined. Therefore, we have,
\[AB = {\left[ {\begin{array}{*{20}{c}}
1&2&3
\end{array}} \right]_{1 \times 3}}{\left[ {\begin{array}{*{20}{c}}
2 \\
3 \\
4
\end{array}} \right]_{3 \times 1}}\]= \[{\left[ {20} \right]_{1 \times 1}}\]
Similarly in B and A, the number of columns in B is equal to the number of rows in A. The multiplication of B and A is defined. Therefore, we have,
\[BA = {\left[ {\begin{array}{*{20}{c}}
2 \\
3 \\
4
\end{array}} \right]_{3 \times 1}}{\left[ {\begin{array}{*{20}{c}}
1&2&3
\end{array}} \right]_{1 \times 3}} = {\left[ {\begin{array}{*{20}{c}}
2&4&6 \\
3&6&9 \\
4&8&{12}
\end{array}} \right]_{3 \times 3}}\]
In AB and C, the number of columns of AB is 1 which is not equal to the number of rows of C which is 2. Therefore, the Multiplication of AB and C is not defined.
In A and C, the number of columns of A which is 3 is not equal to the number of rows of C which is 2. Hence Multiplication of A and C is not defined. Therefore, the multiplication of AC and B is not defined.
Therefore, the correct option is (A) and (B).
Note:It is important to note that matrix multiplication is defined in a complex manner. It is not just multiplying each respective element of both matrices like addition. In Matrix Multiplication, we multiply an m × n matrix with n × p matrix to get m × p matrix.
Recently Updated Pages
JEE Main 2023 April 6 Shift 1 Question Paper with Answer Key

JEE Main 2023 April 6 Shift 2 Question Paper with Answer Key

JEE Main 2023 (January 31 Evening Shift) Question Paper with Solutions [PDF]

JEE Main 2023 January 30 Shift 2 Question Paper with Answer Key

JEE Main 2023 January 25 Shift 1 Question Paper with Answer Key

JEE Main 2023 January 24 Shift 2 Question Paper with Answer Key

Trending doubts
JEE Main 2026: Session 2 Registration Open, City Intimation Slip, Exam Dates, Syllabus & Eligibility

JEE Main 2026 Application Login: Direct Link, Registration, Form Fill, and Steps

Understanding the Angle of Deviation in a Prism

Hybridisation in Chemistry – Concept, Types & Applications

How to Convert a Galvanometer into an Ammeter or Voltmeter

Understanding the Electric Field of a Uniformly Charged Ring

Other Pages
JEE Advanced Marks vs Ranks 2025: Understanding Category-wise Qualifying Marks and Previous Year Cut-offs

JEE Advanced Weightage 2025 Chapter-Wise for Physics, Maths and Chemistry

Derivation of Equation of Trajectory Explained for Students

Understanding Electromagnetic Waves and Their Importance

Understanding How a Current Loop Acts as a Magnetic Dipole

Understanding Average and RMS Value in Electrical Circuits

