Class 10 Mathematics - Ch 3: Matrices and Determinants
Change SetupClass 10 Mathematics - Ch 3: Matrices and Determinants
Official curriculum roadmap, subject/topic distribution, negative marking rules, pacing guidelines, and solved sample questions.
🎯 Question Types & Curriculum Breakdown
💡 Strategic Preparation & Exam Hall Guidelines
To maximize your score on Class 10 Mathematics - Ch 3: Matrices and Determinants, candidates are advised to follow a structured three-pass approach. In the First Pass, solve all direct recall and formula-based questions within 30 seconds each to secure foundational marks. In the Second Pass, tackle multi-step analytical and quantitative reasoning problems. In the Third Pass, review marked questions and verify calculations.
Practice with the interactive player below to evaluate your speed and accuracy under real exam pressure. Every question features full mathematical formulas, step-by-step worked solutions, and conceptual explanations vetted by Apex Rankers Academy subject matter specialists.
📝 Pre-Rendered Solved Sample Questions & Detailed Solutions
Review the solved problems below to understand question phrasing, answer choices, and step-by-step solution logic prior to starting the full interactive practice drill:
(a) $A = \begin{bmatrix} 2 & 3 \\ 0 & 5 \end{bmatrix}$
(b) $B = \begin{bmatrix} 1 & -1 & 2 \end{bmatrix}$
(c) $C = \begin{bmatrix} 4 \\ 2 \\ -1 \end{bmatrix}$
(d) $D = \begin{bmatrix} 2 & 1 & 0 \\ 3 & -1 & 4 \end{bmatrix}$
- **(a)** Matrix $A = \begin{bmatrix} 2 & 3 \\ 0 & 5 \end{bmatrix}$:
- Number of horizontal rows ($m$) = $2$
- Number of vertical columns ($n$) = $2$
- **Order of Matrix $A$:** $m \times n = 2 \times 2$.
- **(b)** Matrix $B = \begin{bmatrix} 1 & -1 & 2 \end{bmatrix}$:
- Number of horizontal rows ($m$) = $1$
- Number of vertical columns ($n$) = $3$
- **Order of Matrix $B$:** $m \times n = 1 \times 3$.
- **(c)** Matrix $C = \begin{bmatrix} 4 \\ 2 \\ -1 \end{bmatrix}$:
- Number of horizontal rows ($m$) = $3$
- Number of vertical columns ($n$) = $1$
- **Order of Matrix $C$:** $m \times n = 3 \times 1$.
- **(d)** Matrix $D = \begin{bmatrix} 2 & 1 & 0 \\ 3 & -1 & 4 \end{bmatrix}$:
- Number of horizontal rows ($m$) = $2$
- Number of vertical columns ($n$) = $3$
- **Order of Matrix $D$:** $m \times n = 2 \times 3$.
(a) $A = \begin{bmatrix} 2 & 3 \\ 1 & 5 \end{bmatrix}$ and $B = \begin{bmatrix} 2 & 2+1 \\ 1 & 4+1 \end{bmatrix}$
(b) $C = \begin{bmatrix} 3 & 4 \end{bmatrix}$ and $D = \begin{bmatrix} 3 \\ 4 \end{bmatrix}$
(c) $E = \begin{bmatrix} 1 & 0 \\ 0 & 1 \end{bmatrix}$ and $F = \begin{bmatrix} 1 & 0 \\ 0 & 2 \end{bmatrix}$
(d) $G = \begin{bmatrix} 5-2 & 3 \\ 2+1 & 4+2 \end{bmatrix}$ and $H = \begin{bmatrix} 3 & 3 \\ 3 & 6 \end{bmatrix}$
1. They have the same order ($m \times n$).
2. Their corresponding entries are identical.
- **(a)** $A = \begin{bmatrix} 2 & 3 \\ 1 & 5 \end{bmatrix}$, $B = \begin{bmatrix} 2 & 2+1 \\ 1 & 4+1 \end{bmatrix} = \begin{bmatrix} 2 & 3 \\ 1 & 5 \end{bmatrix}$.
- Both have order $2 \times 2$ and all corresponding entries match ($2=2, 3=3, 1=1, 5=5$).
- **Result:** **$A = B$ (Equal)**.
- **(b)** $C = \begin{bmatrix} 3 & 4 \end{bmatrix}$ (order $1 \times 2$), $D = \begin{bmatrix} 3 \\ 4 \end{bmatrix}$ (order $2 \times 1$).
- Since orders are different ($1 \times 2 \neq 2 \times 1$), they cannot be equal.
- **Result:** **$C \neq D$ (Not Equal)**.
- **(c)** $E = \begin{bmatrix} 1 & 0 \\ 0 & 1 \end{bmatrix}$, $F = \begin{bmatrix} 1 & 0 \\ 0 & 2 \end{bmatrix}$.
- Both have order $2 \times 2$, but entry $e_{22} = 1 \neq f_{22} = 2$.
- **Result:** **$E \neq F$ (Not Equal)**.
- **(d)** $G = \begin{bmatrix} 5-2 & 3 \\ 2+1 & 4+2 \end{bmatrix} = \begin{bmatrix} 3 & 3 \\ 3 & 6 \end{bmatrix}$, $H = \begin{bmatrix} 3 & 3 \\ 3 & 6 \end{bmatrix}$.
- Both have order $2 \times 2$ and all corresponding entries are equal.
- **Result:** **$G = H$ (Equal)**.
(a) A row matrix
(b) A column matrix
- **(a) Row Matrix Representation:**
- A row matrix has exactly one horizontal row ($1 \times 3$).
- **Row Matrix:** $R = \begin{bmatrix} 8 & 9 & 10 \end{bmatrix}$.
- **(b) Column Matrix Representation:**
- A column matrix has exactly one vertical column ($3 \times 1$).
- **Column Matrix:** $C = \begin{bmatrix} 8 \\ 9 \\ 10 \end{bmatrix}$.
(a) $A = \begin{bmatrix} 0 & 0 \\ 0 & 0 \end{bmatrix}$
(b) $B = \begin{bmatrix} 5 & 0 \\ 0 & 5 \end{bmatrix}$
(c) $C = \begin{bmatrix} 1 & 0 \\ 0 & 1 \end{bmatrix}$
(d) $D = \begin{bmatrix} 3 & 0 \\ 0 & 7 \end{bmatrix}$
(e) $E = \begin{bmatrix} 4 & 5 & 6 \end{bmatrix}$
- **(a)** $A = \begin{bmatrix} 0 & 0 \\ 0 & 0 \end{bmatrix}$: All entries are zero $\implies$ **Null Matrix (or Zero Matrix)** of order $2 \times 2$.
- **(b)** $B = \begin{bmatrix} 5 & 0 \\ 0 & 5 \end{bmatrix}$: A diagonal matrix whose non-zero diagonal entries are all identical constants ($k=5 \neq 0, 1$) $\implies$ **Scalar Matrix**.
- **(c)** $C = \begin{bmatrix} 1 & 0 \\ 0 & 1 \end{bmatrix}$: A scalar matrix whose diagonal entries are all $1$ $\implies$ **Identity Matrix (or Unit Matrix)** denoted by $I_2$.
- **(d)** $D = \begin{bmatrix} 3 & 0 \\ 0 & 7 \end{bmatrix}$: Non-diagonal elements are 0, and diagonal elements are non-zero but distinct $\implies$ **Diagonal Matrix**.
- **(e)** $E = \begin{bmatrix} 4 & 5 & 6 \end{bmatrix}$: Contains only 1 horizontal row $\implies$ **Row Matrix** (order $1 \times 3$).
(a) $A = \begin{bmatrix} 1 & 2 \\ 2 & 3 \end{bmatrix}$
(b) $B = \begin{bmatrix} 0 & 2 \\ -2 & 0 \end{bmatrix}$
(c) $C = \begin{bmatrix} 0 & 1 & -2 \\ -1 & 0 & 3 \\ 2 & -3 & 0 \end{bmatrix}$
(d) $D = \begin{bmatrix} 2 & -1 \\ 3 & 4 \end{bmatrix}$
(e) $E = \begin{bmatrix} 1 & 2 & 3 \\ 2 & 4 & 5 \\ 3 & 5 & 6 \end{bmatrix}$
- Matrix is **Symmetric** if $M^t = M$.
- Matrix is **Skew-Symmetric** if $M^t = -M$ (and main diagonal entries are all 0).
- **(a)** $A = \begin{bmatrix} 1 & 2 \\ 2 & 3 \end{bmatrix} \implies A^t = \begin{bmatrix} 1 & 2 \\ 2 & 3 \end{bmatrix} = A$.
- **Conclusion:** **Symmetric Matrix**.
- **(b)** $B = \begin{bmatrix} 0 & 2 \\ -2 & 0 \end{bmatrix} \implies B^t = \begin{bmatrix} 0 & -2 \\ 2 & 0 \end{bmatrix} = -\begin{bmatrix} 0 & 2 \\ -2 & 0 \end{bmatrix} = -B$.
- **Conclusion:** **Skew-Symmetric Matrix**.
- **(c)** $C = \begin{bmatrix} 0 & 1 & -2 \\ -1 & 0 & 3 \\ 2 & -3 & 0 \end{bmatrix} \implies C^t = \begin{bmatrix} 0 & -1 & 2 \\ 1 & 0 & -3 \\ -2 & 3 & 0 \end{bmatrix} = -C$.
- **Conclusion:** **Skew-Symmetric Matrix**.
- **(d)** $D = \begin{bmatrix} 2 & -1 \\ 3 & 4 \end{bmatrix} \implies D^t = \begin{bmatrix} 2 & 3 \\ -1 & 4 \end{bmatrix} \neq D \text{ and } \neq -D$.
- **Conclusion:** **Neither Symmetric nor Skew-Symmetric**.
- **(e)** $E = \begin{bmatrix} 1 & 2 & 3 \\ 2 & 4 & 5 \\ 3 & 5 & 6 \end{bmatrix} \implies E^t = \begin{bmatrix} 1 & 2 & 3 \\ 2 & 4 & 5 \\ 3 & 5 & 6 \end{bmatrix} = E$.
- **Conclusion:** **Symmetric Matrix**.
- **1. Symmetric Matrix of order $3 \times 3$:**
- Must satisfy $A^t = A$ ($a_{ij} = a_{ji}$).
- Let $A = \begin{bmatrix} 1 & 4 & 5 \\ 4 & 2 & 6 \\ 5 & 6 & 3 \end{bmatrix}$.
- Transpose: $A^t = \begin{bmatrix} 1 & 4 & 5 \\ 4 & 2 & 6 \\ 5 & 6 & 3 \end{bmatrix} = A$.
- Hence, $A$ is **Symmetric**.
- **2. Skew-Symmetric Matrix of order $3 \times 3$:**
- Must satisfy $B^t = -B$ ($b_{ij} = -b_{ji}$ and $b_{ii} = 0$).
- Let $B = \begin{bmatrix} 0 & 3 & -4 \\ -3 & 0 & 2 \\ 4 & -2 & 0 \end{bmatrix}$.
- Transpose: $B^t = \begin{bmatrix} 0 & -3 & 4 \\ 3 & 0 & -2 \\ -4 & 2 & 0 \end{bmatrix} = -\begin{bmatrix} 0 & 3 & -4 \\ -3 & 0 & 2 \\ 4 & -2 & 0 \end{bmatrix} = -B$.
- Hence, $B$ is **Skew-Symmetric**.
(a) $\begin{bmatrix} x+3 & 1 \\ 4 & y-2 \end{bmatrix} = \begin{bmatrix} 5 & 1 \\ 4 & 6 \end{bmatrix}$
(b) $\begin{bmatrix} 2x & y+1 \\ 3 & 4 \end{bmatrix} = \begin{bmatrix} 8 & 5 \\ 3 & 4 \end{bmatrix}$
(c) $\begin{bmatrix} x-y & 2 \\ 3 & x+y \end{bmatrix} = \begin{bmatrix} 1 & 2 \\ 3 & 7 \end{bmatrix}$
(d) $\begin{bmatrix} 3x & 2y \\ 4z & 5 \end{bmatrix} = \begin{bmatrix} 9 & -6 \\ 12 & 5 \end{bmatrix}$
(e) $\begin{bmatrix} x+y & 3 \\ 2 & x-y \end{bmatrix} = \begin{bmatrix} 8 & 3 \\ 2 & 2 \end{bmatrix}$
(f) $\begin{bmatrix} 2x+3 & y-4 \\ 7 & 2 \end{bmatrix} = \begin{bmatrix} 11 & 1 \\ 7 & 2 \end{bmatrix}$
(g) $\begin{bmatrix} x^2 & 4 \\ 2 & y+3 \end{bmatrix} = \begin{bmatrix} 9 & 4 \\ 2 & 7 \end{bmatrix}$
(h) $\begin{bmatrix} x+2y & 5 \\ 1 & 2x-y \end{bmatrix} = \begin{bmatrix} 7 & 5 \\ 1 & 4 \end{bmatrix}$
(i) $\begin{bmatrix} 3x-y & 4 \\ 0 & x+2y \end{bmatrix} = \begin{bmatrix} 5 & 4 \\ 0 & 4 \end{bmatrix}$
(j) $\begin{bmatrix} 2x+y & 3 \\ -1 & x-2y \end{bmatrix} = \begin{bmatrix} 7 & 3 \\ -1 & 1 \end{bmatrix}$
- **(a)** $\begin{bmatrix} x+3 & 1 \\ 4 & y-2 \end{bmatrix} = \begin{bmatrix} 5 & 1 \\ 4 & 6 \end{bmatrix}$:
- Equating entries: $x + 3 = 5 \implies x = 5 - 3 = 2$.
- $y - 2 = 6 \implies y = 6 + 2 = 8$.
- **Result:** $x = 2, y = 8$.
- **(b)** $\begin{bmatrix} 2x & y+1 \\ 3 & 4 \end{bmatrix} = \begin{bmatrix} 8 & 5 \\ 3 & 4 \end{bmatrix}$:
- $2x = 8 \implies x = 4$.
- $y + 1 = 5 \implies y = 4$.
- **Result:** $x = 4, y = 4$.
- **(c)** $\begin{bmatrix} x-y & 2 \\ 3 & x+y \end{bmatrix} = \begin{bmatrix} 1 & 2 \\ 3 & 7 \end{bmatrix}$:
- $x - y = 1$ ...(1) and $x + y = 7$ ...(2).
- Adding (1) & (2): $2x = 8 \implies x = 4$.
- From (2): $4 + y = 7 \implies y = 3$.
- **Result:** $x = 4, y = 3$.
- **(d)** $\begin{bmatrix} 3x & 2y \\ 4z & 5 \end{bmatrix} = \begin{bmatrix} 9 & -6 \\ 12 & 5 \end{bmatrix}$:
- $3x = 9 \implies x = 3$.
- $2y = -6 \implies y = -3$.
- $4z = 12 \implies z = 3$.
- **Result:** $x = 3, y = -3, z = 3$.
- **(e)** $\begin{bmatrix} x+y & 3 \\ 2 & x-y \end{bmatrix} = \begin{bmatrix} 8 & 3 \\ 2 & 2 \end{bmatrix}$:
- $x + y = 8$ ...(1) and $x - y = 2$ ...(2).
- Adding: $2x = 10 \implies x = 5$.
- Subtraction: $2y = 6 \implies y = 3$.
- **Result:** $x = 5, y = 3$.
- **(f)** $\begin{bmatrix} 2x+3 & y-4 \\ 7 & 2 \end{bmatrix} = \begin{bmatrix} 11 & 1 \\ 7 & 2 \end{bmatrix}$:
- $2x + 3 = 11 \implies 2x = 8 \implies x = 4$.
- $y - 4 = 1 \implies y = 5$.
- **Result:** $x = 4, y = 5$.
- **(g)** $\begin{bmatrix} x^2 & 4 \\ 2 & y+3 \end{bmatrix} = \begin{bmatrix} 9 & 4 \\ 2 & 7 \end{bmatrix}$:
- $x^2 = 9 \implies x = \pm \sqrt{9} = \pm 3$.
- $y + 3 = 7 \implies y = 4$.
- **Result:** $x = \pm 3, y = 4$.
- **(h)** $\begin{bmatrix} x+2y & 5 \\ 1 & 2x-y \end{bmatrix} = \begin{bmatrix} 7 & 5 \\ 1 & 4 \end{bmatrix}$:
- $x + 2y = 7$ ...(1) and $2x - y = 4 \implies y = 2x - 4$.
- Substitute into (1): $x + 2(2x - 4) = 7 \implies 5x - 8 = 7 \implies 5x = 15 \implies x = 3$.
- Then $y = 2(3) - 4 = 2$.
- **Result:** $x = 3, y = 2$.
- **(i)** $\begin{bmatrix} 3x-y & 4 \\ 0 & x+2y \end{bmatrix} = \begin{bmatrix} 5 & 4 \\ 0 & 4 \end{bmatrix}$:
- $3x - y = 5 \implies y = 3x - 5$.
- $x + 2y = 4 \implies x + 2(3x - 5) = 4 \implies 7x - 10 = 4 \implies 7x = 14 \implies x = 2$.
- $y = 3(2) - 5 = 1$.
- **Result:** $x = 2, y = 1$.
- **(j)** $\begin{bmatrix} 2x+y & 3 \\ -1 & x-2y \end{bmatrix} = \begin{bmatrix} 7 & 3 \\ -1 & 1 \end{bmatrix}$:
- $2x + y = 7$ ...(1) and $x - 2y = 1 \implies x = 2y + 1$.
- Substitute into (1): $2(2y + 1) + y = 7 \implies 5y + 2 = 7 \implies 5y = 5 \implies y = 1$.
- $x = 2(1) + 1 = 3$.
- **Result:** $x = 3, y = 1$.
$R = \begin{bmatrix} 2 & -3 \\ 4 & 1 \end{bmatrix}, \quad S = \begin{bmatrix} 1 & 0 & -2 \\ 3 & -1 & 4 \end{bmatrix}, \quad T = \begin{bmatrix} -5 \\ 7 \\ 0 \end{bmatrix}$
- **1. Additive Inverse of $R$:**
$$-R = -\begin{bmatrix} 2 & -3 \\ 4 & 1 \end{bmatrix} = \begin{bmatrix} -2 & 3 \\ -4 & -1 \end{bmatrix}$$
*(Check: $R + (-R) = \begin{bmatrix} 0 & 0 \\ 0 & 0 \end{bmatrix} = O$)*
- **2. Additive Inverse of $S$:**
$$-S = -\begin{bmatrix} 1 & 0 & -2 \\ 3 & -1 & 4 \end{bmatrix} = \begin{bmatrix} -1 & 0 & 2 \\ -3 & 1 & -4 \end{bmatrix}$$
- **3. Additive Inverse of $T$:**
$$-T = -\begin{bmatrix} -5 \\ 7 \\ 0 \end{bmatrix} = \begin{bmatrix} 5 \\ -7 \\ 0 \end{bmatrix}$$
(i) $2A + \frac{1}{2}B - \frac{1}{3}C$
(ii) $A - \frac{1}{2}B$
- **(i) Evaluate $2A + \frac{1}{2}B - \frac{1}{3}C$:**
- $2A = 2 \begin{bmatrix} 2 & 1 \\ 3 & 4 \end{bmatrix} = \begin{bmatrix} 4 & 2 \\ 6 & 8 \end{bmatrix}$
- $\frac{1}{2}B = \frac{1}{2} \begin{bmatrix} 0 & 2 \\ -1 & 4 \end{bmatrix} = \begin{bmatrix} 0 & 1 \\ -0.5 & 2 \end{bmatrix}$
- $\frac{1}{3}C = \frac{1}{3} \begin{bmatrix} 3 & -3 \\ 6 & 0 \end{bmatrix} = \begin{bmatrix} 1 & -1 \\ 2 & 0 \end{bmatrix}$
- Combining terms:
$$2A + \frac{1}{2}B - \frac{1}{3}C = \begin{bmatrix} 4+0-1 & 2+1-(-1) \\ 6-0.5-2 & 8+2-0 \end{bmatrix} = \begin{bmatrix} 3 & 4 \\ 3.5 & 10 \end{bmatrix} = \begin{bmatrix} 3 & 4 \\ \frac{7}{2} & 10 \end{bmatrix}$$
- **(ii) Evaluate $A - \frac{1}{2}B$:**
$$A - \frac{1}{2}B = \begin{bmatrix} 2 & 1 \\ 3 & 4 \end{bmatrix} - \begin{bmatrix} 0 & 1 \\ -\frac{1}{2} & 2 \end{bmatrix} = \begin{bmatrix} 2-0 & 1-1 \\ 3 - (-\frac{1}{2}) & 4-2 \end{bmatrix} = \begin{bmatrix} 2 & 0 \\ \frac{7}{2} & 2 \end{bmatrix}$$
(i) Compute $A + B$ and $B + A$
(ii) Explain why $A + C$ is not possible
(iii) Compute $C \cdot D$
(iv) Compute $D \cdot C$
- **(i)** $A + B = \begin{bmatrix} 1+2 & 2+0 \\ 3+1 & 4+3 \end{bmatrix} = \begin{bmatrix} 3 & 2 \\ 4 & 7 \end{bmatrix}$.
- $B + A = \begin{bmatrix} 2+1 & 0+2 \\ 1+3 & 3+4 \end{bmatrix} = \begin{bmatrix} 3 & 2 \\ 4 & 7 \end{bmatrix}$. ($A+B = B+A$).
- **(ii) Conformability for Addition:**
- Order of $A = 2 \times 2$. Order of $C = 1 \times 3$.
- Addition is defined only for matrices of the same order. Since $2 \times 2 \neq 1 \times 3$, $A+C$ is **not conformable for addition**.
- **(iii) Product $C \cdot D$:**
- Order: $(1 \times 3) \times (3 \times 1) \implies 1 \times 1$.
$$C \cdot D = \begin{bmatrix} 1 & 2 & 3 \end{bmatrix} \begin{bmatrix} 4 \\ 5 \\ 6 \end{bmatrix} = [1(4) + 2(5) + 3(6)] = [4 + 10 + 18] = [32]$$
- **(iv) Product $D \cdot C$:**
- Order: $(3 \times 1) \times (1 \times 3) \implies 3 \times 3$.
$$D \cdot C = \begin{bmatrix} 4 \\ 5 \\ 6 \end{bmatrix} \begin{bmatrix} 1 & 2 & 3 \end{bmatrix} = \begin{bmatrix} 4(1) & 4(2) & 4(3) \\ 5(1) & 5(2) & 5(3) \\ 6(1) & 6(2) & 6(3) \end{bmatrix} = \begin{bmatrix} 4 & 8 & 12 \\ 5 & 10 & 15 \\ 6 & 12 & 18 \end{bmatrix}$$