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NCERT Exemplar · Q9

Q.If A=[0111]A = \begin{bmatrix} 0 & 1 \\ 1 & 1 \end{bmatrix} and B=[0−110]B = \begin{bmatrix} 0 & -1 \\ 1 & 0 \end{bmatrix}, show that (A+B)(A−B)≠A2−B2(A + B)(A - B) \neq A^2 - B^2.

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Matrix multiplication is not commutative, so the expansion (A+B)(A−B)=A2−AB+BA−B2(A+B)(A-B)=A^2 - AB + BA - B^2 does not simplify to A2−B2A^2 - B^2 unless AB=BAAB = BA. Here AB≠BAAB \neq BA, so the two sides differ. We compute both sides explicitly and confirm they are unequal.

The core idea here is that the familiar algebraic identity (a+b)(a−b)=a2−b2(a+b)(a-b)=a^2-b^2 works for numbers because multiplication commutes — ab=baab = ba. But matrices do not generally commute. So when you expand (A+B)(A−B)(A+B)(A-B), you get:

(A+B)(A−B)=A2−AB+BA−B2(A+B)(A-B) = A^2 - AB + BA - B^2

The middle terms −AB+BA-AB + BA cancel only if AB=BAAB = BA. If they don't, the expression is different from A2−B2A^2 - B^2. The problem asks us to verify this non-equality for the given matrices.

Let’s work through it step by step.


1. Compute A+BA+B and A−BA-B

A+B=[0111]+[0−110]=[0+01+(−1)1+11+0]=[0021]A+B = \begin{bmatrix} 0 & 1 \\ 1 & 1 \end{bmatrix} + \begin{bmatrix} 0 & -1 \\ 1 & 0 \end{bmatrix} = \begin{bmatrix} 0+0 & 1+(-1) \\ 1+1 & 1+0 \end{bmatrix} = \begin{bmatrix} 0 & 0 \\ 2 & 1 \end{bmatrix}

A−B=[0111]−[0−110]=[0−01−(−1)1−11−0]=[0201]A-B = \begin{bmatrix} 0 & 1 \\ 1 & 1 \end{bmatrix} - \begin{bmatrix} 0 & -1 \\ 1 & 0 \end{bmatrix} = \begin{bmatrix} 0-0 & 1-(-1) \\ 1-1 & 1-0 \end{bmatrix} = \begin{bmatrix} 0 & 2 \\ 0 & 1 \end{bmatrix}


2. Compute (A+B)(A−B)(A+B)(A-B)

Multiply the two 2×22\times 2 matrices:

(A+B)(A−B)=[0021][0201](A+B)(A-B) = \begin{bmatrix} 0 & 0 \\ 2 & 1 \end{bmatrix} \begin{bmatrix} 0 & 2 \\ 0 & 1 \end{bmatrix}

  • Row 1, Column 1: (0)(0)+(0)(0)=0(0)(0) + (0)(0) = 0
  • Row 1, Column 2: (0)(2)+(0)(1)=0(0)(2) + (0)(1) = 0
  • Row 2, Column 1: (2)(0)+(1)(0)=0(2)(0) + (1)(0) = 0
  • Row 2, Column 2: (2)(2)+(1)(1)=4+1=5(2)(2) + (1)(1) = 4 + 1 = 5

So:

(A+B)(A−B)=[0005](A+B)(A-B) = \begin{bmatrix} 0 & 0 \\ 0 & 5 \end{bmatrix}


3. Compute A2A^2 and B2B^2 separately

First A2A^2:

A2=[0111][0111]=[(0)(0)+(1)(1)(0)(1)+(1)(1)(1)(0)+(1)(1)(1)(1)+(1)(1)]=[1112]A^2 = \begin{bmatrix} 0 & 1 \\ 1 & 1 \end{bmatrix} \begin{bmatrix} 0 & 1 \\ 1 & 1 \end{bmatrix} = \begin{bmatrix} (0)(0)+(1)(1) & (0)(1)+(1)(1) \\ (1)(0)+(1)(1) & (1)(1)+(1)(1) \end{bmatrix} = \begin{bmatrix} 1 & 1 \\ 1 & 2 \end{bmatrix}

Now B2B^2:

B2=[0−110][0−110]=[(0)(0)+(−1)(1)(0)(−1)+(−1)(0)(1)(0)+(0)(1)(1)(−1)+(0)(0)]=[−100−1]B^2 = \begin{bmatrix} 0 & -1 \\ 1 & 0 \end{bmatrix} \begin{bmatrix} 0 & -1 \\ 1 & 0 \end{bmatrix} = \begin{bmatrix} (0)(0)+(-1)(1) & (0)(-1)+(-1)(0) \\ (1)(0)+(0)(1) & (1)(-1)+(0)(0) \end{bmatrix} = \begin{bmatrix} -1 & 0 \\ 0 & -1 \end{bmatrix}

So B2=−IB^2 = -I, which is a rotation by 90∘90^\circ twice — indeed it gives the negative identity.


4. Compute A2−B2A^2 - B^2 …

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