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NCERT Exemplar · Q28

Q.If A=[124156]A = \begin{bmatrix}1 & 2\\ 4 & 1\\ 5 & 6\end{bmatrix} and B=[126473]B = \begin{bmatrix}1 & 2\\ 6 & 4\\ 7 & 3\end{bmatrix}, then verify that:

(i) (2A+B)′=2A′+B′(2A + B)' = 2A' + B'
(ii) (A−B)′=A′−B′(A - B)' = A' - B'.
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The transpose of a sum/difference equals the sum/difference of the transposes, and scalar multiplication commutes with transposition. We verify both properties by direct computation: (i) (2A+B)′=2A′+B′(2A+B)' = 2A' + B' and (ii) (A−B)′=A′−B′(A-B)' = A' - B' hold for the given matrices.

Why This Works — The Concept

Matrix transposition is a linear operation. That means it plays nicely with addition and scalar multiplication — just like taking a derivative or a complex conjugate. The two properties we're verifying are:

  1. Transpose of a sum: (X+Y)′=X′+Y′(X + Y)' = X' + Y'
  2. Transpose of a scalar multiple: (kX)′=kX′(kX)' = kX' (where kk is a constant)

Combining these gives us the two statements in the problem. We don't need to prove the general theorem here — we just need to check that the numbers work out for these specific AA and BB.

Tip

A quick mental check: transposition swaps rows and columns. So if you add two matrices first and then swap, you get the same result as swapping each first and then adding — because addition happens entry-by-entry, and swapping doesn't change which entries get added together.


Step-by-Step Verification

(i) (2A+B)′=2A′+B′(2A + B)' = 2A' + B'

1. Compute 2A2A

Multiply every entry of AA by 2:

2A=2[124156]=[24821012]2A = 2 \begin{bmatrix}1 & 2\\ 4 & 1\\ 5 & 6\end{bmatrix} = \begin{bmatrix}2 & 4\\ 8 & 2\\ 10 & 12\end{bmatrix}

2. Compute 2A+B2A + B

Add corresponding entries of 2A2A and BB:

2A+B=[24821012]+[126473]=[2+14+28+62+410+712+3]=[361461715]2A + B = \begin{bmatrix}2 & 4\\ 8 & 2\\ 10 & 12\end{bmatrix} + \begin{bmatrix}1 & 2\\ 6 & 4\\ 7 & 3\end{bmatrix} = \begin{bmatrix}2+1 & 4+2\\ 8+6 & 2+4\\ 10+7 & 12+3\end{bmatrix} = \begin{bmatrix}3 & 6\\ 14 & 6\\ 17 & 15\end{bmatrix}

3. Take the transpose of 2A+B2A + B

Swap rows and columns: row 1 becomes column 1, row 2 becomes column 2, row 3 becomes column 3.

(2A+B)′=[314176615](2A + B)' = \begin{bmatrix}3 & 14 & 17\\ 6 & 6 & 15\end{bmatrix}

That's the left-hand side. Now compute the right-hand side.

4. Compute A′A' and B′B'

Transpose each matrix:

A′=[145216],B′=[167243]A' = \begin{bmatrix}1 & 4 & 5\\ 2 & 1 & 6\end{bmatrix}, \quad B' = \begin{bmatrix}1 & 6 & 7\\ 2 & 4 & 3\end{bmatrix}

5. Compute 2A′2A'

Multiply A′A' by 2:

2A′=[28104212]2A' = \begin{bmatrix}2 & 8 & 10\\ 4 & 2 & 12\end{bmatrix}

6. Compute 2A′+B′2A' + B'

Add corresponding entries:

2A′+B′=[28104212]+[167243]=[2+18+610+74+22+412+3]=[314176615]2A' + B' = \begin{bmatrix}2 & 8 & 10\\ 4 & 2 & 12\end{bmatrix} + \begin{bmatrix}1 & 6 & 7\\ 2 & 4 & 3\end{bmatrix} = \begin{bmatrix}2+1 & 8+6 & 10+7\\ 4+2 & 2+4 & 12+3\end{bmatrix} = \begin{bmatrix}3 & 14 & 17\\ 6 & 6 & 15\end{bmatrix}

7. Compare

Both sides equal [314176615]\begin{bmatrix}3 & 14 & 17\\ 6 & 6 & 15\end{bmatrix}. Verified.

Watch out

A common mistake: forgetting that 2A′2A' means multiplying after transposing, not transposing after multiplying. But since (2A)′=2A′(2A)' = 2A' is itself a property we're using, it's consistent — just be careful with the order of operations.

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