\(A = [a_{ij}]\) is a \(2 \times 3\) matrix with \(a_{ij} = i + 2j\). Then \(a_{23}\) is
- (a)\(7\)
- (b)\(8\)
- (c)\(5\)
- (d)\(6\)
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Why: Row i = 2, column j = 3: 2 + 2 × 3.
\(a_{23} = 2 + 2(3) = 8\).
15 multiple-choice questions and 2 case-based questions on the current (rationalised) syllabus, in the style of the board paper's Sections A and E. Try each one first; the answer, a one-line reason and a worked solution open on a tap.
Choose one option. Section A of the board paper has 18 MCQs of 1 mark each, spread over all chapters.
\(A = [a_{ij}]\) is a \(2 \times 3\) matrix with \(a_{ij} = i + 2j\). Then \(a_{23}\) is
Why: Row i = 2, column j = 3: 2 + 2 × 3.
\(a_{23} = 2 + 2(3) = 8\).
If \(A = \begin{bmatrix}3 & -2\\ 1 & 5\end{bmatrix}\), then \(A + A^T\) is
Why: Aᵀ swaps rows and columns: Aᵀ = [[3, 1], [−2, 5]].
\(A^T = \begin{bmatrix}3 & 1\\ -2 & 5\end{bmatrix}\), so \(A + A^T = \begin{bmatrix}6 & -1\\ -1 & 10\end{bmatrix}\) (symmetric, as always).
\(A\) is a \(4 \times 3\) matrix and \(B\) is a \(3 \times 2\) matrix. Which statement is true?
Why: AB: (4 × 3)(3 × 2) = 4 × 2; BA: (3 × 2)(4 × 3) needs 2 = 4.
\(AB\): columns of \(A\) (\(3\)) \(=\) rows of \(B\) (\(3\)), order \(4 \times 2\). \(BA\): columns of \(B\) (\(2\)) \(\ne\) rows of \(A\) (\(4\)), so \(BA\) is not defined.
If \(\begin{bmatrix}x + y & 2\\ 5 & x - y\end{bmatrix} = \begin{bmatrix}6 & 2\\ 5 & 2\end{bmatrix}\), then \(xy\) equals
Why: Equal matrices: x + y = 6 and x − y = 2, so x = 4, y = 2.
\(x + y = 6\), \(x - y = 2 \Rightarrow x = 4\), \(y = 2\); \(xy = 8\).
If \(A = \begin{bmatrix}2 & 1\\ 0 & 3\end{bmatrix}\), then \(A^2\) is
Why: Multiply rows by columns: the (1,2) entry is 2·1 + 1·3 = 5.
\(A^2 = \begin{bmatrix}2 & 1\\ 0 & 3\end{bmatrix}\begin{bmatrix}2 & 1\\ 0 & 3\end{bmatrix} = \begin{bmatrix}4 + 0 & 2 + 3\\ 0 + 0 & 0 + 9\end{bmatrix} = \begin{bmatrix}4 & 5\\ 0 & 9\end{bmatrix}\). (Squaring each entry is wrong.)
The diagonal entries of a skew-symmetric matrix are
Why: a_ii = −a_ii forces a_ii = 0.
Skew-symmetric means \(A^T = -A\), i.e. \(a_{ji} = -a_{ij}\). For \(i = j\): \(a_{ii} = -a_{ii}\), so \(a_{ii} = 0\).
The matrix \(\begin{bmatrix}3 & x\\ 5 & 2\end{bmatrix}\) is symmetric when \(x\) equals
Why: Symmetric means a₁₂ = a₂₁.
\(A^T = A\) requires \(a_{12} = a_{21}\), i.e. \(x = 5\).
For any square matrix \(A\), the matrix \(A + A^T\) is
Why: (A + Aᵀ)ᵀ = Aᵀ + A.
\((A + A^T)^T = A^T + (A^T)^T = A^T + A\), so \(A + A^T\) equals its own transpose: symmetric.
If \(A = \begin{bmatrix}1 & 1\\ 1 & 1\end{bmatrix}\) and \(B = \begin{bmatrix}1 & -1\\ -1 & 1\end{bmatrix}\), then \(AB\) is
Why: Every row of A times every column of B gives 1 − 1 = 0.
\(AB = \begin{bmatrix}1 - 1 & -1 + 1\\ 1 - 1 & -1 + 1\end{bmatrix} = O\), although \(A \ne O\) and \(B \ne O\).
If \(A = \begin{bmatrix}4 & 1\\ 2 & 3\end{bmatrix}\) and \(A^2 - kA + 10I = O\), then \(k\) equals
Why: A² = [[18, 7], [14, 11]]; compare the (1,2) entries: 7 − k = 0.
\(A^2 = \begin{bmatrix}18 & 7\\ 14 & 11\end{bmatrix}\). \(A^2 - kA + 10I = \begin{bmatrix}28 - 4k & 7 - k\\ 14 - 2k & 21 - 3k\end{bmatrix} = O\) gives \(k = 7\).
Which matrix is the inverse of \(A = \begin{bmatrix}2 & 1\\ 1 & 1\end{bmatrix}\)?
Why: Check AB = BA = I directly.
\(\begin{bmatrix}2 & 1\\ 1 & 1\end{bmatrix}\begin{bmatrix}1 & -1\\ -1 & 2\end{bmatrix} = \begin{bmatrix}2 - 1 & -2 + 2\\ 1 - 1 & -1 + 2\end{bmatrix} = I\), and the product in the other order is also \(I\).
For matrices \(A\) and \(B\) for which \(AB\) is defined, \((AB)^T\) equals
Why: Transposing a product reverses the order.
\((AB)^T = B^TA^T\) (reversal law). \(A^TB^T\) need not even be defined when \(A\) and \(B\) are not square.
The number of \(2 \times 2\) diagonal matrices whose entries all belong to \(\{0, 1, 2\}\) is
Why: Off-diagonal entries must be 0; each of the 2 diagonal entries has 3 choices.
A diagonal matrix has \(a_{12} = a_{21} = 0\). The entries \(a_{11}, a_{22}\) each have \(3\) choices: \(3^2 = 9\).
If \(A = \begin{bmatrix}1 & 2\\ 2 & 1\end{bmatrix}\), then \(A^2\) equals
Why: (1,1) entry 1 + 4 = 5; (1,2) entry 2 + 2 = 4.
\(A^2 = \begin{bmatrix}1 + 4 & 2 + 2\\ 2 + 2 & 4 + 1\end{bmatrix} = \begin{bmatrix}5 & 4\\ 4 & 5\end{bmatrix}\).
If \(A = \begin{bmatrix}2 & 0\\ 0 & 3\end{bmatrix}\), then \(A^3\) is
Why: Powers of a diagonal matrix: raise each diagonal entry to the power.
For a diagonal matrix, \(A^2 = \begin{bmatrix}4 & 0\\ 0 & 9\end{bmatrix}\) and \(A^3 = \begin{bmatrix}8 & 0\\ 0 & 27\end{bmatrix}\). (\(3A\) would give \(\begin{bmatrix}6 & 0\\ 0 & 9\end{bmatrix}\).)
Section E of the board paper has three case-based questions of 4 marks: a real-life passage, then parts of 1, 1 and 2 marks, with a choice (OR) on the 2-mark part.
A school canteen sells samosas, juice and sandwiches. The quantities sold on Monday and Tuesday are the rows of \(Q = \begin{bmatrix}20 & 15 & 10\\ 25 & 10 & 20\end{bmatrix}\) (columns: samosa, juice, sandwich). The prices in rupees form \(P = \begin{bmatrix}10\\ 20\\ 30\end{bmatrix}\).
A farmer uses two fertilisers. One bag of \(F_1\) contains \(10\) kg of nitrogen and \(4\) kg of phosphate; one bag of \(F_2\) contains \(5\) kg of nitrogen and \(8\) kg of phosphate. This is recorded as \(N = \begin{bmatrix}10 & 5\\ 4 & 8\end{bmatrix}\) (rows: nitrogen, phosphate; columns: \(F_1\), \(F_2\)).
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