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NCERT Exemplar · Q90

Q.If AA and BB are any two matrices of the same order, then (AB)′=A′B′(AB)' = A'B'.

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The statement is false. The correct property is (AB)′=B′A′(AB)' = B'A', not A′B′A'B'. The transpose of a product reverses the multiplication order.

The key idea here is that matrix multiplication is not commutative, and the transpose operation interacts with multiplication in a specific way — it reverses the order. Many students get this wrong because they assume the transpose distributes like ordinary multiplication, but it doesn't.

Let’s understand why.


1. What does the transpose do?

If AA is an m×nm \times n matrix, its transpose A′A' (also written ATA^T) is an n×mn \times m matrix where rows become columns and columns become rows. For any entry:

(A′)ij=Aji(A')_{ij} = A_{ji}.

2. The product ABAB and its transpose

Suppose AA is m×nm \times n and BB is n×pn \times p. Then ABAB is m×pm \times p, so (AB)′(AB)' is p×mp \times m.

Now, what is (AB)ij′(AB)'_{ij}? By definition:

(AB)ij′=(AB)ji(AB)'_{ij} = (AB)_{ji}.

And (AB)ji(AB)_{ji} is the dot product of the jj-th row of AA with the ii-th column of BB:

(AB)ji=∑kAjkBki(AB)_{ji} = \sum_k A_{jk} B_{ki}.

So:

(AB)ij′=∑kAjkBki(AB)'_{ij} = \sum_k A_{jk} B_{ki}.

3. Compare with A′B′A'B'

A′A' is n×mn \times m, B′B' is p×np \times n. For A′B′A'B' to be defined, the number of columns of A′A' (which is mm) must equal the number of rows of B′B' (which is pp). That only happens if m=pm = p, which is not generally true. So A′B′A'B' is often not even defined — and even when it is, the dimensions don't match (AB)′(AB)'.

Watch out

A common mistake is to assume (AB)′=A′B′(AB)' = A'B' without checking whether the multiplication is even possible. Always verify dimensions first.

4. The correct property: (AB)′=B′A′(AB)' = B'A'

Let’s check B′A′B'A'.

B′B' is p×np \times n, A′A' is n×mn \times m, so B′A′B'A' is p×mp \times m — exactly the same size as (AB)′(AB)'.

Now compute (B′A′)ij(B'A')_{ij}:

(B′A′)ij=∑k(B′)ik(A′)kj=∑kBkiAjk(B'A')_{ij} = \sum_k (B')_{ik} (A')_{kj} = \sum_k B_{ki} A_{jk}.

But ∑kBkiAjk=∑kAjkBki\sum_k B_{ki} A_{jk} = \sum_k A_{jk} B_{ki}, which is exactly (AB)ij′(AB)'_{ij} from step 2. …

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