Transpose of a Matrix
Digital Handwritten Lesson
Activity:
Let us consider a matrix:
$$A = \begin{bmatrix} 2 & 3 & 4 \\ 5 & 6 & 7 \end{bmatrix}$$
Observation:
- Matrix $A$ has 2 rows and 3 columns
- The order of matrix $A$ is $2 \times 3$
- It is a rectangular matrix (as rows ≠ columns)
Thinking:
What will happen if we change (write) element of rows as columns and vice-versa?
$$\begin{bmatrix} 2 & 5 \\ 3 & 6 \\ 4 & 7 \end{bmatrix} $$
Key Observation:
A new matrix is formed with reverse order $3 \times 2$
Conclusion:
We call this new matrix a transpose of the given matrix $A$.
Definition:
A new matrix formed by interchanging rows and columns of a given matrix is called transpose of a matrix.
Let $A$ be a matrix of order $m \times n$.
Its transpose is written as $A'$ or $A^t$ with order $n \times m$.
Properties of Transpose of Matrices
Property 1:
$(A + B)^t = A^t + B^t$
$$\text{Let } A = \begin{bmatrix} 2 & 3 \\ 4 & 5 \end{bmatrix}, \quad B = \begin{bmatrix} 1 & 6 \\ 7 & 9 \end{bmatrix}$$
$$A + B = \begin{bmatrix} 2 & 3 \\ 4 & 5 \end{bmatrix} + \begin{bmatrix} 1 & 6 \\ 7 & 9 \end{bmatrix} = \begin{bmatrix} 2+1 & 3+6 \\ 4+7 & 5+9 \end{bmatrix} = \begin{bmatrix} 3 & 9 \\ 11 & 14 \end{bmatrix}$$
$$(A + B)^t = \begin{bmatrix} 3 & 11 \\ 9 & 14 \end{bmatrix}$$
$$A^t = \begin{bmatrix} 2 & 4 \\ 3 & 5 \end{bmatrix}, \quad B^t = \begin{bmatrix} 1 & 7 \\ 6 & 9 \end{bmatrix}$$
$$A^t + B^t = \begin{bmatrix} 2 & 4 \\ 3 & 5 \end{bmatrix} + \begin{bmatrix} 1 & 7 \\ 6 & 9 \end{bmatrix} = \begin{bmatrix} 3 & 11 \\ 9 & 14 \end{bmatrix}$$
$$\therefore (A + B)^t = A^t + B^t \,\checkmark$$
Property 2:
$(A - B)^t = A^t - B^t$
$$\text{Let } A = \begin{bmatrix} 6 & 2 \\ 3 & 1 \end{bmatrix}, \quad B = \begin{bmatrix} 4 & 5 \\ 0 & 7 \end{bmatrix}$$
$$A - B = \begin{bmatrix} 6 & 2 \\ 3 & 1 \end{bmatrix} - \begin{bmatrix} 4 & 5 \\ 0 & 7 \end{bmatrix} = \begin{bmatrix} 6-4 & 2-5 \\ 3-0 & 1-7 \end{bmatrix} = \begin{bmatrix} 2 & -3 \\ 3 & -6 \end{bmatrix}$$
$$(A - B)^t = \begin{bmatrix} 2 & 3 \\ -3 & -6 \end{bmatrix}$$
$$A^t = \begin{bmatrix} 6 & 3 \\ 2 & 1 \end{bmatrix}, \quad B^t = \begin{bmatrix} 4 & 0 \\ 5 & 7 \end{bmatrix}$$
$$A^t - B^t = \begin{bmatrix} 6 & 3 \\ 2 & 1 \end{bmatrix} - \begin{bmatrix} 4 & 0 \\ 5 & 7 \end{bmatrix} = \begin{bmatrix} 2 & 3 \\ -3 & -6 \end{bmatrix}$$
$$\therefore (A - B)^t = A^t - B^t \,\checkmark$$
Property 3:
$(KA)^t = KA^t$ (where $K$ is a scalar)
$$\text{Let } K = 2, \quad A = \begin{bmatrix} 1 & 2 \\ 3 & 4 \end{bmatrix}$$
$$KA = 2 \begin{bmatrix} 1 & 2 \\ 3 & 4 \end{bmatrix} = \begin{bmatrix} 2 & 4 \\ 6 & 8 \end{bmatrix}$$
$$(KA)^t = \begin{bmatrix} 2 & 6 \\ 4 & 8 \end{bmatrix}$$
$$A^t = \begin{bmatrix} 1 & 3 \\ 2 & 4 \end{bmatrix}$$
$$KA^t = 2 \begin{bmatrix} 1 & 3 \\ 2 & 4 \end{bmatrix} = \begin{bmatrix} 2 & 6 \\ 4 & 8 \end{bmatrix}$$
$$\therefore (KA)^t = KA^t \,\checkmark$$
Property 4:
$(A^t)^t = A$
$$\text{Let } A = \begin{bmatrix} 3 & 4 \\ 5 & 6 \end{bmatrix}$$
$$A^t = \begin{bmatrix} 3 & 5 \\ 4 & 6 \end{bmatrix}$$
$$(A^t)^t = \begin{bmatrix} 3 & 4 \\ 5 & 6 \end{bmatrix} = A$$
$$\therefore (A^t)^t = A \,\checkmark$$
Property 5:
If $A = A^t$, then the matrix is called a symmetric matrix.
$$\text{Let } A = \begin{bmatrix} 2 & -1 \\ -1 & 3 \end{bmatrix}$$
$$A^t = \begin{bmatrix} 2 & -1 \\ -1 & 3 \end{bmatrix} = A$$
$$\therefore A = A^t \,\checkmark$$
Note: If a matrix is equal to its transpose then such a matrix are called symmetric matrix.
Property 6:
Transpose of Identity Matrix and Null Matrix:
$$\text{Let } I = \begin{bmatrix} 1 & 0 \\ 0 & 1 \end{bmatrix} \text{ (Identity matrix)}$$
$$I^t = \begin{bmatrix} 1 & 0 \\ 0 & 1 \end{bmatrix} = I$$
Transpose of an identity matrix is identity matrix itself.
$$\text{Let } N = \begin{bmatrix} 0 & 0 \\ 0 & 0 \end{bmatrix} \text{ (Null matrix)}$$
$$N^t = \begin{bmatrix} 0 & 0 \\ 0 & 0 \end{bmatrix} = N$$
Transpose of null matrix is null matrix itself.
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Course material curated by Mr. Nripendraswar Acharya