NCERT Class 12 Maths Chapter 3: Matrices Miscellaneous Exercise
Welcome to your comprehensive guide on the Matrices Miscellaneous Exercise for CBSE Class 12. This exercise is the absolute crown jewel of NCERT Chapter 3. While previous exercises focus on mechanical operations like matrix addition, multiplication, and finding transposes, the Miscellaneous Exercise demands higher-order thinking. It integrates core matrix properties with Mathematical Induction ($PMI$) and advanced algebraic properties. Mastery over this exercise is crucial for securing top marks in your board exams, as 4-mark and 6-mark questions are frequently drafted from these concepts. Here, we will break down the complex induction proofs, symmetric-matrix manipulations, and multi-step matrix equations so you can solve them with absolute confidence.
Decoding the Advanced Mathematical Themes
The Miscellaneous Exercise of Chapter 3 (Matrices) is structured around three foundational pillars that test your theoretical depth. First is Mathematical Induction on Matrices. Often, you are given a matrix $A$ and asked to prove a general formula for $A^n$ for all $n \in \mathbb{N}$. Standard algebraic induction rules apply, but you must strictly respect matrix multiplication rules (specifically, that matrix multiplication is non-commutative, so $AB \neq BA$ in general). The second pillar is Symmetric and Skew-Symmetric Matrices. You will explore advanced proofs demonstrating how matrices like $B'AB$ inherit properties from $A$. Lastly, the exercise covers Matrix Equations, where you must solve for an unknown matrix $X$ from equations like $AX = B$ or $XA = B$. Because division is not defined for matrices, you must master pre-multiplication and post-multiplication techniques, or set up a system of linear equations using general matrix elements.
Step-by-Step Framework for Mathematical Induction in Matrices
- Define the Proposition P(n) — Express the given matrix statement clearly as $P(n)$ for all $n \in \mathbb{N}$.
- Verify the Base Case P(1) — Substitute $n = 1$ into both the LHS and RHS of the formula to prove the statement holds true.
- Formulate the Induction Hypothesis P(k) — Assume that the statement $P(k)$ is true for some positive integer $k$. Write down this assumed matrix equation.
- Prove the Inductive Step P(k+1) — Show that $P(k+1)$ is true using the hypothesis. Express $A^{k+1}$ as $A^k \cdot A^1$. Substitute the assumed value of $A^k$ and use row-by-column matrix multiplication to simplify the expression to match the $P(k+1)$ structure.
Worked Example: Proof by Induction
- Example 1: Let $A = \begin{bmatrix} 3 & -4 \\ 1 & -1 \end{bmatrix}$. Prove by induction that $A^n = \begin{bmatrix} 1+2n & -4n \\ n & 1-2n \end{bmatrix}$ for all $n \in \mathbb{N}$. Step 1: Let $P(n)$ be the statement: $A^n = \begin{bmatrix} 1+2n & -4n \\ n & 1-2n \end{bmatrix}$. Step 2: Base case ($n=1$): LHS = $A^1 = \begin{bmatrix} 3 & -4 \\ 1 & -1 \end{bmatrix}$ RHS = \begin{bmatrix} 1+2(1) & -4(1) \\ 1 & 1-2(1) \end{bmatrix} = \begin{bmatrix} 3 & -4 \\ 1 & -1 \end{bmatrix}$. Since LHS = RHS, $P(1)$ is true. Step 3: Assume $P(k)$ is true for some $k \in \mathbb{N}$: $A^k = \begin{bmatrix} 1+2k & -4k \\ k & 1-2k \end{bmatrix}$. Step 4: Prove $P(k+1)$ is true, i.e., $A^{k+1} = \begin{bmatrix} 1+2(k+1) & -4(k+1) \\ k+1 & 1-2(k+1) \end{bmatrix} = \begin{bmatrix} 2k+3 & -4k-4 \\ k+1 & -2k-1 \end{bmatrix}$. Using laws of exponents, write $A^{k+1} = A^k \cdot A$. $A^{k+1} = \begin{bmatrix} 1+2k & -4k \\ k & 1-2k \end{bmatrix} \begin{bmatrix} 3 & -4 \\ 1 & -1 \end{bmatrix}$ Multiply row by column: $= \begin{bmatrix} (1+2k)(3) + (-4k)(1) & (1+2k)(-4) + (-4k)(-1) \\ (k)(3) + (1-2k)(1) & (k)(-4) + (1-2k)(-1) \end{bmatrix}$ $= \begin{bmatrix} 3+6k-4k & -4-8k+4k \\ 3k+1-2k & -4k-1+2k \end{bmatrix} = \begin{bmatrix} 2k+3 & -4k-4 \\ k+1 & -2k-1 \end{bmatrix}$. Hence, $P(k+1)$ is true. By the Principle of Mathematical Induction, the statement holds for all $n \in \mathbb{N}$.
CBSE Board Exam Tips & Pitfalls
- Never Assume Commutativity: In matrix multiplication, $AB$ is generally NOT equal to $BA$. While verifying proofs, do not simplify $(A+B)^2$ directly as $A^2 + 2AB + B^2$ unless you are explicitly given that $AB = BA$. Instead, write $(A+B)^2 = (A+B)(A+B) = A^2 + AB + BA + B^2$.
- The Transpose of a Product: Remember the reversal law: $(AB)' = B'A'$. Many students incorrectly write $(AB)' = A'B'$. Applying this incorrectly during proofs of symmetric or skew-symmetric matrices will lead to a complete loss of marks.
- Clear Inductive Logic: When writing induction proofs, do not skip writing down the statement of the inductive hypothesis ($P(k)$) and concluding with the standard induction sentence. Evaluators look for these precise step markings.
Practice Questions with Solutions
- Q: If $A$ and $B$ are symmetric matrices of the same order, prove that $AB - BA$ is a skew-symmetric matrix. A: Step 1: Identify given conditions. Since $A$ and $B$ are symmetric matrices, we have $A' = A$ and $B' = B$. Step 2: Let $X = AB - BA$. To show $X$ is skew-symmetric, we must prove $X' = -X$. Step 3: Take the transpose of both sides: $X' = (AB - BA)'$. Using the property $(P - Q)' = P' - Q'$, we get: $X' = (AB)' - (BA)'$. Step 4: Apply the reversal law of transpose $(CD)' = D'C'$: $X' = B'A' - A'B'$. Step 5: Substitute the given symmetric values $A' = A$ and $B' = B$: $X' = BA - AB$. Step 6: Factor out a negative sign: $X' = -(AB - BA) = -X$. Final answer: Since $X' = -X$, the matrix $AB - BA$ is verified to be a skew-symmetric matrix.
- Q: If $A$ is a square matrix such that $A^2 = A$, then find the value of $(I + A)^3 - 7A$. A: Step 1: Expand $(I + A)^3$ using binomial expansion (allowed here because the identity matrix $I$ commutes with any matrix $A$, i.e., $IA = AI = A$): $(I+A)^3 = I^3 + 3I^2A + 3IA^2 + A^3$. Step 2: Simplify the powers of $I$ and $A$. We know $I^3 = I$, $I^2 = I$, and $IA^2 = A^2$. So, $(I + A)^3 = I + 3A + 3A^2 + A^3$. Step 3: Simplify $A^3$ and $A^2$ using the given condition $A^2 = A$: $A^3 = A^2 \cdot A = A \cdot A = A^2 = A$. Step 4: Substitute $A^2 = A$ and $A^3 = A$ back into the expanded equation: $(I + A)^3 = I + 3A + 3(A) + A = I + 7A$. Step 5: Calculate $(I + A)^3 - 7A$: $(I + A)^3 - 7A = (I + 7A) - 7A = I$. Final answer: The simplified value is the Identity matrix $I$.
- Q: Let $A = \begin{bmatrix} 0 & 1 \\ 0 & 0 \end{bmatrix}$. Show that $(aI + bA)^n = a^n I + n a^{n-1} b A$, where $I$ is the identity matrix of order 2 and $n \in \mathbb{N}$. A: Step 1: Let the proposition be $P(n): (aI + bA)^n = a^n I + n a^{n-1} b A$. Step 2: Test for $n=1$: LHS = $(aI + bA)^1 = aI + bA$. RHS = $a^1 I + 1 a^{1-1} b A = aI + a^0 b A = aI + b A$. Since LHS = RHS, $P(1)$ is true. Step 3: Assume $P(k)$ is true for some $k \in \mathbb{N}$: $(aI + bA)^k = a^k I + k a^{k-1} b A$. Step 4: Prove $P(k+1)$ is true, i.e., $(aI + bA)^{k+1} = a^{k+1} I + (k+1) a^{k} b A$. $(aI + bA)^{k+1} = (aI + bA)^k \cdot (aI + bA)^1$. Substitute the induction hypothesis: $= (a^k I + k a^{k-1} b A) (aI + bA)$ $= a^k I(aI) + a^k I(bA) + (k a^{k-1} b A)(aI) + (k a^{k-1} b A)(bA)$ $= a^{k+1} I^2 + a^k b A + k a^k b A + k a^{k-1} b^2 A^2$. Step 5: Note that $I^2 = I$. Calculate $A^2$: $A^2 = \begin{bmatrix} 0 & 1 \\ 0 & 0 \end{bmatrix} \begin{bmatrix} 0 & 1 \\ 0 & 0 \end{bmatrix} = \begin{bmatrix} 0 & 0 \\ 0 & 0 \end{bmatrix} = O$ (zero matrix). So, the term $k a^{k-1} b^2 A^2 = O$. Step 6: Substitute these values back into the expression: $= a^{k+1} I + (a^k b + k a^k b) A + O$ $= a^{k+1} I + (k+1) a^k b A$. This is exactly equal to the RHS of $P(k+1)$. Therefore, by PMI, the statement is true for all $n \in \mathbb{N}$. Final answer: Proved by Principle of Mathematical Induction.
- Q: Find the matrix $X$ such that $X \begin{bmatrix} 1 & 2 & 3 \\ 4 & 5 & 6 \end{bmatrix} = \begin{bmatrix} -7 & -8 & -9 \\ 2 & 4 & 6 \end{bmatrix}$. A: Step 1: Determine the order of matrix $X$. Let $A = \begin{bmatrix} 1 & 2 & 3 \\ 4 & 5 & 6 \end{bmatrix}$ (order $2 \times 3$) and $B = \begin{bmatrix} -7 & -8 & -9 \\ 2 & 4 & 6 \end{bmatrix}$ (order $2 \times 3$). Since $X A = B$, the order of $X$ must be $2 \times 2$ for the product to be defined. Step 2: Let $X = \begin{bmatrix} a & b \\ c & d \end{bmatrix}$. Step 3: Write the matrix equation: $\begin{bmatrix} a & b \\ c & d \end{bmatrix} \begin{bmatrix} 1 & 2 & 3 \\ 4 & 5 & 6 \end{bmatrix} = \begin{bmatrix} -7 & -8 & -9 \\ 2 & 4 & 6 \end{bmatrix}$. Multiply LHS: $\begin{bmatrix} a+4b & 2a+5b & 3a+6b \\ c+4d & 2c+5d & 3c+6d \end{bmatrix} = \begin{bmatrix} -7 & -8 & -9 \\ 2 & 4 & 6 \end{bmatrix}$. Step 4: Set up systems of equations by equating corresponding elements. For the first row: 1) $a + 4b = -7$ 2) $2a + 5b = -8$ Multiply (1) by 2: $2a + 8b = -14$. Subtract (2) from this: $3b = -6 \implies b = -2$. Substitute $b = -2$ in (1): $a - 8 = -7 \implies a = 1$. Check third term: $3(1) + 6(-2) = -9$ (consistent). Step 5: For the second row: 3) $c + 4d = 2$ 4) $2c + 5d = 4$ Multiply (3) by 2: $2c + 8d = 4$. Subtract (4) from this: $3d = 0 \implies d = 0$. Substitute $d = 0$ in (3): $c + 0 = 2 \implies c = 2$. Check third term: $3(2) + 6(0) = 6$ (consistent). Final answer: $X = \begin{bmatrix} 1 & -2 \\ 2 & 0 \end{bmatrix}$.
Frequently Asked Questions
Why is Mathematical Induction used in Matrices?
Mathematical Induction is used to prove general properties or expressions for the powers of a matrix ($A^n$) for all positive integers $n$, which would otherwise be impossible to demonstrate by direct multiplication infinitely.
Can we expand $(A+B)^2 = A^2 + 2AB + B^2$ in the miscellaneous exercise?
Generally, no. Matrix multiplication is not commutative ($AB \neq BA$). You can only use this formula if it is explicitly stated in the problem that $A$ and $B$ commute (i.e., $AB = BA$).
How do we choose the order of an unknown matrix X in matrix equations?
You use the compatibility rule of matrix multiplication. If $X A = B$, and $A$ is of order $m \times n$, and $B$ is of order $p \times q$, then $X$ must be of order $p \times m$ to make multiplication valid and match the final dimension.