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Worked Examples · Example 21

Q.If A=[−245]A = \begin{bmatrix} -2 \\ 4 \\ 5 \end{bmatrix}, B=[13−6]B = \begin{bmatrix} 1 & 3 & -6 \end{bmatrix}, verify that (AB)′=B′A′(AB)' = B'A'.

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The transpose of a product equals the product of the transposes in reverse order. Here, we compute ABAB, then its transpose, and separately compute B′A′B'A' — both give the same 3×33 \times 3 matrix, verifying the identity.

Why this works: the logic of the transpose rule

The identity (AB)′=B′A′(AB)' = B'A' is not just a notational trick — it comes from how matrix multiplication and transposition interact. When you multiply AA (a column vector) by BB (a row vector), you get a 3×33 \times 3 matrix. Transposing that matrix swaps rows and columns. On the other side, B′B' becomes a column, A′A' becomes a row, and multiplying them in reverse order gives the same result. The reversal is essential because the inner dimensions must match.

Let’s verify it concretely.

  1. Compute ABAB AA is 3×13 \times 1, BB is 1×31 \times 3, so ABAB is 3×33 \times 3. Each entry (AB)ij(AB)_{ij} is Ai1⋅B1jA_{i1} \cdot B_{1j}.

AB=[−245][13−6]=[(−2)(1)(−2)(3)(−2)(−6)(4)(1)(4)(3)(4)(−6)(5)(1)(5)(3)(5)(−6)]=[−2−612412−24515−30]AB = \begin{bmatrix} -2 \\ 4 \\ 5 \end{bmatrix} \begin{bmatrix} 1 & 3 & -6 \end{bmatrix} = \begin{bmatrix} (-2)(1) & (-2)(3) & (-2)(-6) \\ (4)(1) & (4)(3) & (4)(-6) \\ (5)(1) & (5)(3) & (5)(-6) \end{bmatrix} = \begin{bmatrix} -2 & -6 & 12 \\ 4 & 12 & -24 \\ 5 & 15 & -30 \end{bmatrix}

  1. Find (AB)′(AB)' Transpose means swap rows and columns: row ii becomes column ii.

(AB)′=[−245−6121512−24−30](AB)' = \begin{bmatrix} -2 & 4 & 5 \\ -6 & 12 & 15 \\ 12 & -24 & -30 \end{bmatrix}

  1. Compute B′B' and A′A' separately BB is 1×31 \times 3, so B′B' is 3×13 \times 1:

B′=[13−6]B' = \begin{bmatrix} 1 \\ 3 \\ -6 \end{bmatrix}

AA is 3×13 \times 1, so A′A' is 1×31 \times 3:

A′=[−245]A' = \begin{bmatrix} -2 & 4 & 5 \end{bmatrix}

  1. Multiply B′B' and A′A' B′B' is 3×13 \times 1, A′A' is 1×31 \times 3, so B′A′B'A' is 3×33 \times 3. Each entry (B′A′)ij=(B′)i1⋅(A′)1j(B'A')_{ij} = (B')_{i1} \cdot (A')_{1j}. …

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