1. (CBSE 2019) If a matrix has 18 elements, what are the possible orders it can have?

Explanation:

  1. The order of a matrix is (number of rows, mm) ×\times (number of columns, nn).

  2. The total number of elements is the product m×nm \times n.

  3. We need to find all pairs of natural numbers (m,nm, n) whose product is 18.

  4. The factor pairs of 18 are: (1, 18), (2, 9), (3, 6).

  5. We must also include the 'reverse' of these pairs, as the number of rows and columns can be swapped: (18, 1), (9, 2), (6, 3).

  • Answer: The possible orders are 1x18, 18x1, 2x9, 9x2, 3x6, and 6x3.

2. (CBSE 2020) Construct a 2x2 matrix A=[aij]A = [a_{ij}] whose elements are given by aij=(i+2j)2/2a_{ij} = (i+2j)^2/2.

Explanation:

  1. A 2x2 matrix has the form [a11a12a21a22]\begin{bmatrix} a_{11} & a_{12} \\ a_{21} & a_{22} \end{bmatrix}.

  2. We calculate each element using the formula aij=(i+2j)2/2a_{ij} = (i+2j)^2/2:

    • a11a_{11} (i=1, j=1): (1+2(1))2/2=(3)2/2=9/2(1+2(1))^2/2 = (3)^2/2 = 9/2.
    • a12a_{12} (i=1, j=2): (1+2(2))2/2=(5)2/2=25/2(1+2(2))^2/2 = (5)^2/2 = 25/2.
    • a21a_{21} (i=2, j=1): (2+2(1))2/2=(4)2/2=16/2=8(2+2(1))^2/2 = (4)^2/2 = 16/2 = 8.
    • a22a_{22} (i=2, j=2): (2+2(2))2/2=(6)2/2=36/2=18(2+2(2))^2/2 = (6)^2/2 = 36/2 = 18.
  3. Construct the matrix with these values.

  • Answer: The matrix is [9/225/2818]\begin{bmatrix} 9/2 & 25/2 \\ 8 & 18 \end{bmatrix}.

3. (CBSE 2018) Find the values of x and y if [2x+yxy]=[104]\begin{bmatrix} 2x+y \\ x-y \end{bmatrix} = \begin{bmatrix} 10 \\ 4 \end{bmatrix}

Explanation:

  1. Use Equality of Matrices: For two matrices to be equal, their corresponding elements must be equal.

  2. Set up Equations: This gives us a system of two linear equations:

    • (Row 1): 2x+y=10(1)2x+y=10 \quad \cdots(1)
    • (Row 2): xy=4(2)x-y=4 \quad \cdots(2)
  3. Solve the System: We can use the elimination method. Add equation (1) to equation (2): (2x+y)+(xy)=10+4(2x+y) + (x-y) = 10 + 4 3x=14    x=14/33x = 14 \implies x=14/3

  4. Find y: Substitute the value of xx back into equation (2): y=x4=14/34y = x-4 = 14/3 - 4 =14/312/3=2/3= 14/3 - 12/3 = 2/3

  • Answer: The solution is x=14/3, y=2/3.

4. (CBSE 2017) If 2[345x]+[1y01]=[70105]2\begin{bmatrix} 3 & 4 \\ 5 & x \end{bmatrix} + \begin{bmatrix} 1 & y \\ 0 & 1 \end{bmatrix} = \begin{bmatrix} 7 & 0 \\ 10 & 5 \end{bmatrix}, find the values of x and y.

Explanation:

  1. Perform Scalar Multiplication: 2[345x]=[68102x]2\begin{bmatrix} 3 & 4 \\ 5 & x \end{bmatrix} = \begin{bmatrix} 6 & 8 \\ 10 & 2x \end{bmatrix}
  2. Perform Matrix Addition: [68102x]+[1y01]\begin{bmatrix} 6 & 8 \\ 10 & 2x \end{bmatrix} + \begin{bmatrix} 1 & y \\ 0 & 1 \end{bmatrix} =[6+18+y10+02x+1]=[78+y102x+1]= \begin{bmatrix} 6+1 & 8+y \\ 10+0 & 2x+1 \end{bmatrix} = \begin{bmatrix} 7 & 8+y \\ 10 & 2x+1 \end{bmatrix}
  3. Equate Matrices: [78+y102x+1]=[70105]\begin{bmatrix} 7 & 8+y \\ 10 & 2x+1 \end{bmatrix} = \begin{bmatrix} 7 & 0 \\ 10 & 5 \end{bmatrix}
  4. Solve for x and y:
    • From element (1,2): 8+y=0    y=88+y=0 \implies y=-8.
    • From element (2,2): 2x+1=5    2x=4    x=22x+1=5 \implies 2x=4 \implies x=2.
  • Answer: x=2, y=-8.

5. (CBSE 2019) Compute the product: [123][234]\begin{bmatrix} 1 \\ 2 \\ 3 \end{bmatrix} \begin{bmatrix} 2 & 3 & 4 \end{bmatrix}.

Explanation:

  1. Check Order: The first matrix is (3 x 1). The second matrix is (1 x 3). The inner dimensions (1 and 1) match, so the product is defined. The resulting matrix will have the outer dimensions: (3 x 3).

  2. Calculate Each Element: We find the element cijc_{ij} by multiplying the i-th row of the first matrix (a single number) by the j-th column of the second matrix (a single number).

    • c11=(1)(2)=2c_{11} = (1)(2) = 2
    • c12=(1)(3)=3c_{12} = (1)(3) = 3
    • c13=(1)(4)=4c_{13} = (1)(4) = 4
    • c21=(2)(2)=4c_{21} = (2)(2) = 4
    • c22=(2)(3)=6c_{22} = (2)(3) = 6
    • c23=(2)(4)=8c_{23} = (2)(4) = 8
    • c31=(3)(2)=6c_{31} = (3)(2) = 6
    • c32=(3)(3)=9c_{32} = (3)(3) = 9
    • c33=(3)(4)=12c_{33} = (3)(4) = 12
  • Answer: [2344686912]\begin{bmatrix} 2 & 3 & 4 \\ 4 & 6 & 8 \\ 6 & 9 & 12 \end{bmatrix}

6. (CBSE 2020) If A=[2132]A = \begin{bmatrix} 2 & 1 \\ 3 & 2 \end{bmatrix} and B=[1012]B = \begin{bmatrix} 1 & 0 \\ -1 & 2 \end{bmatrix}, find AB.

  • Explanation:
  1. Check Order: A is 2x2, B is 2x2. The result AB will be 2x2.
  2. Calculate Element (1,1): (Row 1 of A) ×\times (Col 1 of B) = (2)(1)+(1)(1)=21=1(2)(1) + (1)(-1) = 2 - 1 = 1
  3. Calculate Element (1,2): (Row 1 of A) ×\times (Col 2 of B) = (2)(0)+(1)(2)=0+2=2(2)(0) + (1)(2) = 0 + 2 = 2
  4. Calculate Element (2,1): (Row 2 of A) ×\times (Col 1 of B) = (3)(1)+(2)(1)=32=1(3)(1) + (2)(-1) = 3 - 2 = 1
  5. Calculate Element (2,2): (Row 2 of A) ×\times (Col 2 of B) = (3)(0)+(2)(2)=0+4=4(3)(0) + (2)(2) = 0 + 4 = 4
  • Answer: AB=[1214]AB = \begin{bmatrix} 1 & 2 \\ 1 & 4 \end{bmatrix}

7. (CBSE 2015) If A=[0110]A = \begin{bmatrix} 0 & 1 \\ 1 & 0 \end{bmatrix}, find A2A^2.

Explanation:

  1. Set up: A2=AA=[0110][0110]A^2 = A \cdot A = \begin{bmatrix} 0 & 1 \\ 1 & 0 \end{bmatrix}\begin{bmatrix} 0 & 1 \\ 1 & 0 \end{bmatrix}
  2. Calculate Element (1,1): (Row 1) ×\times (Col 1) = (0)(0)+(1)(1)=1(0)(0) + (1)(1) = 1
  3. Calculate Element (1,2): (Row 1) ×\times (Col 2) = (0)(1)+(1)(0)=0(0)(1) + (1)(0) = 0
  4. Calculate Element (2,1): (Row 2) ×\times (Col 1) = (1)(0)+(0)(1)=0(1)(0) + (0)(1) = 0
  5. Calculate Element (2,2): (Row 2) ×\times (Col 2) = (1)(1)+(0)(0)=1(1)(1) + (0)(0) = 1
  • Answer: A2=[1001]=IA^2 = \begin{bmatrix} 1 & 0 \\ 0 & 1 \end{bmatrix} = I

8. (CBSE 2018) Find the number of all possible matrices of order 3 x 3 with each entry 0 or 1.

Explanation:

  1. Count Elements: A 3x3 matrix has 3×3=93 \times 3 = 9 total positions.

  2. Count Choices: Each of these 9 positions can be filled in one of two ways (either 0 or 1).

  3. Apply Multiplication Principle: The total number of distinct matrices is the product of the number of choices for each position. Total=2×2×2×2×2×2×2×2×2=29Total = 2 \times 2 \times 2 \times 2 \times 2 \times 2 \times 2 \times 2 \times 2 = 2^9

  • Answer: 29=5122^9 = 512.

9. (CBSE 2021) If A=[1234]A = \begin{bmatrix} 1 & 2 \\ 3 & 4 \end{bmatrix}, find A+ATA+A^T.

Explanation:

  1. Find the Transpose (ATA^T): Interchange rows and columns of A. AT=[1324]A^T = \begin{bmatrix} 1 & 3 \\ 2 & 4 \end{bmatrix}
  2. Add A and ATA^T: A+AT=[1234]+[1324]A+A^T = \begin{bmatrix} 1 & 2 \\ 3 & 4 \end{bmatrix} + \begin{bmatrix} 1 & 3 \\ 2 & 4 \end{bmatrix} =[1+12+33+24+4]= \begin{bmatrix} 1+1 & 2+3 \\ 3+2 & 4+4 \end{bmatrix}
  3. Calculate Result: A+AT=[2558]A+A^T = \begin{bmatrix} 2 & 5 \\ 5 & 8 \end{bmatrix} .
  • Answer: [2558]\begin{bmatrix} 2 & 5 \\ 5 & 8 \end{bmatrix}.

10. (CBSE 2016) If f(x)=x25x+6f(x)=x^2-5x+6, find f(A)f(A) if A=[2011]A=\begin{bmatrix} 2 & 0 \\ 1 & 1 \end{bmatrix}.

Explanation: To find f(A)f(A), we replace xx with AA and the constant 6 with 6I6I, where II is the 2x2 identity matrix. f(A)=A25A+6If(A)=A^2-5A+6I

  1. Calculate A2A^2: A2=[2011][2011]A^2 = \begin{bmatrix} 2 & 0 \\ 1 & 1 \end{bmatrix}\begin{bmatrix} 2 & 0 \\ 1 & 1 \end{bmatrix} =[4+00+02+10+1]=[4031]= \begin{bmatrix} 4+0 & 0+0 \\ 2+1 & 0+1 \end{bmatrix} = \begin{bmatrix} 4 & 0 \\ 3 & 1 \end{bmatrix}
  2. Calculate 5A5A: 5A=5[2011]=[10055]5A = 5\begin{bmatrix} 2 & 0 \\ 1 & 1 \end{bmatrix} = \begin{bmatrix} 10 & 0 \\ 5 & 5 \end{bmatrix}
  3. Calculate 6I6I: 6I=6[1001]=[6006]6I = 6\begin{bmatrix} 1 & 0 \\ 0 & 1 \end{bmatrix} = \begin{bmatrix} 6 & 0 \\ 0 & 6 \end{bmatrix}
  4. Combine: f(A)=[4031][10055]+[6006]f(A) = \begin{bmatrix} 4 & 0 \\ 3 & 1 \end{bmatrix} - \begin{bmatrix} 10 & 0 \\ 5 & 5 \end{bmatrix} + \begin{bmatrix} 6 & 0 \\ 0 & 6 \end{bmatrix} =[410+600+035+015+6]= \begin{bmatrix} 4-10+6 & 0-0+0 \\ 3-5+0 & 1-5+6 \end{bmatrix} =[0022]= \begin{bmatrix} 0 & 0 \\ -2 & 2 \end{bmatrix}
  • Answer: f(A)=[0022]f(A) = \begin{bmatrix} 0 & 0 \\ -2 & 2 \end{bmatrix}.

11. (CBSE 2019) If A=[cosαsinαsinαcosα]A = \begin{bmatrix} \cos\alpha & -\sin\alpha \\ \sin\alpha & \cos\alpha \end{bmatrix}, and A+AT=IA+A^T=I, find the value of α\alpha.

Explanation:

  1. Find the Transpose (ATA^T): AT=[cosαsinαsinαcosα]A^T = \begin{bmatrix} \cos\alpha & \sin\alpha \\ -\sin\alpha & \cos\alpha \end{bmatrix}
  2. Calculate A+ATA+A^T: A+AT=[cosα+cosαsinα+sinαsinαsinαcosα+cosα]A+A^T = \begin{bmatrix} \cos\alpha+\cos\alpha & -\sin\alpha+\sin\alpha \\ \sin\alpha-\sin\alpha & \cos\alpha+\cos\alpha \end{bmatrix} =[2cosα002cosα]= \begin{bmatrix} 2\cos\alpha & 0 \\ 0 & 2\cos\alpha \end{bmatrix}
  3. Set up the Equation: A+AT=IA+A^T=I     [2cosα002cosα]=[1001]\implies \begin{bmatrix} 2\cos\alpha & 0 \\ 0 & 2\cos\alpha \end{bmatrix} = \begin{bmatrix} 1 & 0 \\ 0 & 1 \end{bmatrix}
  4. Solve for α\alpha: By equating the diagonal elements, we get 2cosα=12\cos\alpha=1, or cosα=1/2\cos\alpha=1/2. A valid principal value for α\alpha is π/3\pi/3.
  • Answer: α=π/3\alpha = \pi/3 (or 2nπ±π/3,nZ2n\pi \pm \pi/3, n \in \mathbb{Z}).

12. (CBSE 2020) For what value of x is the matrix A=[012103x30]A = \begin{bmatrix} 0 & 1 & -2 \\ -1 & 0 & 3 \\ x & -3 & 0 \end{bmatrix} a skew-symmetric matrix?

Explanation:

  1. Definition: A matrix is skew-symmetric if AT=AA^T = -A, which implies aij=ajia_{ij} = -a_{ji} for all i,ji,j. Also, all diagonal elements aiia_{ii} must be 0, which is already true for matrix A.

  2. Apply Condition: Let's check the a31a_{31} element.

    • a31=xa_{31} = x
    • a13=2a_{13} = -2
    • The condition is a31=a13a_{31} = -a_{13}.
  3. Solve: x=(2)    x=2x = -(-2) \implies x = 2.

    (We can check other elements: a21=1a_{21} = -1 and a12=1a_{12} = 1. a21=a12a_{21} = -a_{12} is true. a32=3a_{32} = -3 and a23=3a_{23} = 3. a32=a23a_{32} = -a_{23} is true.)

  • Answer: x=2.

13. (CBSE 2018) If A=[3x12x+3x+2]A = \begin{bmatrix} 3 & x-1 \\ 2x+3 & x+2 \end{bmatrix} is a symmetric matrix, find the value of x.

Explanation:

  1. Definition: A matrix A is symmetric if AT=AA^T = A, which implies aij=ajia_{ij} = a_{ji} for all i,ji,j. The diagonal elements do not matter for this check.

  2. Apply Condition: We must have a12=a21a_{12} = a_{21}.

    • a12=x1a_{12} = x-1
    • a21=2x+3a_{21} = 2x+3
  3. Set up and Solve: x1=2x+3x-1 = 2x+3     13=2xx\implies -1-3 = 2x-x     4=x\implies -4 = x

  • Answer: x = -4.

14. (CBSE 2017) If A is a square matrix, show that AATA-A^T is a skew-symmetric matrix.

Explanation:

  1. Define: Let P=AATP = A-A^T.

  2. Goal: To prove PP is skew-symmetric, we must show that PT=PP^T = -P.

  3. Take the Transpose: PT=(AAT)TP^T = (A-A^T)^T.

  4. Apply Transpose Properties: Using (XY)T=XTYT(X-Y)^T = X^T-Y^T and (XT)T=X(X^T)^T=X: PT=(A)T(AT)T=ATAP^T = (A)^T - (A^T)^T = A^T - A

  5. Factor and Conclude: Factor out -1: PT=(AAT)P^T = -(A - A^T) Since P=AATP = A-A^T, we have PT=PP^T = -P.

  • Answer: Since its transpose is equal to its negative, AATA-A^T is skew-symmetric.

15. (CBSE 2021) Express A=[3511]A = \begin{bmatrix} 3 & 5 \\ 1 & -1 \end{bmatrix} as the sum of a symmetric and a skew-symmetric matrix.

Explanation: We use the theorem A=P+QA = P+Q, where P=12(A+AT)P = \frac{1}{2}(A+A^T) (symmetric part) and Q=12(AAT)Q = \frac{1}{2}(A-A^T) (skew-symmetric part).

  1. Find ATA^T: AT=[3151]A^T = \begin{bmatrix} 3 & 1 \\ 5 & -1 \end{bmatrix}
  2. Find P: A+AT=[3+35+11+511]=[6662]A+A^T = \begin{bmatrix} 3+3 & 5+1 \\ 1+5 & -1-1 \end{bmatrix} = \begin{bmatrix} 6 & 6 \\ 6 & -2 \end{bmatrix} P=12(A+AT)=[3331]P = \frac{1}{2}(A+A^T) = \begin{bmatrix} 3 & 3 \\ 3 & -1 \end{bmatrix}
  3. Find Q: AAT=[3351151(1)]=[0440]A-A^T = \begin{bmatrix} 3-3 & 5-1 \\ 1-5 & -1-(-1) \end{bmatrix} = \begin{bmatrix} 0 & 4 \\ -4 & 0 \end{bmatrix} Q=12(AAT)=[0220]Q = \frac{1}{2}(A-A^T) = \begin{bmatrix} 0 & 2 \\ -2 & 0 \end{bmatrix}
  • Answer: A=[3331]+[0220]A = \begin{bmatrix} 3 & 3 \\ 3 & -1 \end{bmatrix} + \begin{bmatrix} 0 & 2 \\ -2 & 0 \end{bmatrix}

16. (CBSE 2019) If a matrix is both symmetric and skew-symmetric, show that it is a zero matrix.

  • Explanation:
  1. Given: Let A be the matrix.

    • Since A is symmetric, by definition AT=AA^T = A.
    • Since A is skew-symmetric, by definition AT=AA^T = -A.
  2. Combine Conditions: For both to be true, we must have A=AA = -A.

  3. Solve for A: A+A=A+A    2A=OA + A = -A + A \implies 2A = O (where O is the zero matrix).

    This implies A=OA = O.

  • Answer: A must be the zero matrix.

17. (CBSE 2022) For the matrix A=[1567]A = \begin{bmatrix} 1 & 5 \\ 6 & 7 \end{bmatrix}, verify that A+ATA+A^T is a symmetric matrix.

Explanation:

  1. Find ATA^T: AT=[1657]A^T = \begin{bmatrix} 1 & 6 \\ 5 & 7 \end{bmatrix}
  2. Calculate P=A+ATP = A+A^T: P=[1567]+[1657]P = \begin{bmatrix} 1 & 5 \\ 6 & 7 \end{bmatrix} + \begin{bmatrix} 1 & 6 \\ 5 & 7 \end{bmatrix} =[1+15+66+57+7]= \begin{bmatrix} 1+1 & 5+6 \\ 6+5 & 7+7 \end{bmatrix} =[2111114]= \begin{bmatrix} 2 & 11 \\ 11 & 14 \end{bmatrix}
  3. Check if P is Symmetric: We find the transpose of P. PT=[2111114]P^T = \begin{bmatrix} 2 & 11 \\ 11 & 14 \end{bmatrix}
  4. Conclusion: Since P=PTP = P^T, the matrix A+ATA+A^T is symmetric.
  • Answer: Verified.

18. (CBSE 2020) If A and B are symmetric matrices of the same order, prove that AB is symmetric if and only if AB = BA.

Explanation: Forward Proof (if AB=BA, then AB is symmetric):

  1. Given: AT=AA^T=A, BT=BB^T=B, and AB=BAAB=BA.

  2. We must prove that (AB)T=AB(AB)^T = AB.

  3. (AB)T=BTAT(AB)^T = B^TA^T (Reversal Law)

  4. (AB)T=BA(AB)^T = BA (Substituting A=A^T, B=B^T)

  5. (AB)T=AB(AB)^T = AB (Substituting the given AB=BA)

  6. Thus, AB is symmetric.

    Backward Proof (if AB is symmetric, then AB=BA):

  7. Given: AT=AA^T=A, BT=BB^T=B, and (AB)T=AB(AB)^T=AB.

  8. We must prove AB=BAAB=BA.

  9. From the reversal law, (AB)T=BTAT(AB)^T = B^TA^T.

  10. Substituting A=AT,B=BTA=A^T, B=B^T, we get (AB)T=BA(AB)^T = BA.

  11. From the given, we have (AB)T=AB(AB)^T=AB.

  12. Therefore, by transitivity, AB=BAAB = BA.

  • Answer: Proven.

19. (CBSE 2019) Find the inverse of the matrix A=[2312]A = \begin{bmatrix} 2 & 3 \\ 1 & 2 \end{bmatrix} using the shortcut formula.

Explanation:

  1. Recall the 2x2 Inverse Formula: For A=[abcd]A = \begin{bmatrix} a & b \\ c & d \end{bmatrix} A1=1adbc[dbca]A^{-1} = \frac{1}{ad-bc}\begin{bmatrix} d & -b \\ -c & a \end{bmatrix}
  2. Calculate the Determinant: det(A)=adbc=(2)(2)(3)(1)=43=1\det(A) = ad-bc = (2)(2) - (3)(1) = 4 - 3 = 1
  3. Apply the Formula: A1=11[2312]A^{-1} = \frac{1}{1}\begin{bmatrix} 2 & -3 \\ -1 & 2 \end{bmatrix}
  • Answer: A1=[2312]A^{-1} = \begin{bmatrix} 2 & -3 \\ -1 & 2 \end{bmatrix}.

20. (CBSE 2020) Find the inverse of A=[1327]A = \begin{bmatrix} 1 & 3 \\ 2 & 7 \end{bmatrix} using elementary row operations.

Explanation:

  1. Set up: Start with the augmented matrix [AI][A|I]. Goal is to get [IA1][I|A^{-1}]. [13102701][\begin{array}{cc|cc} 1 & 3 & 1 & 0 \\ 2 & 7 & 0 & 1 \end{array}]
  2. Step 1: Create 0 in (2,1). Apply R2R22R1R_2 \to R_2 - 2R_1. R2=[22(1)72(3)02(1)12(0)]=[0121]R_2 = [2-2(1) \quad 7-2(3) \quad 0-2(1) \quad 1-2(0)] = [0 \quad 1 \quad -2 \quad 1] Matrix becomes: [13100121][\begin{array}{cc|cc} 1 & 3 & 1 & 0 \\ 0 & 1 & -2 & 1 \end{array}]
  3. Step 2: Create 0 in (1,2). Apply R1R13R2R_1 \to R_1 - 3R_2. R1=[13(0)33(1)13(2)03(1)]=[1073]R_1 = [1-3(0) \quad 3-3(1) \quad 1-3(-2) \quad 0-3(1)] = [1 \quad 0 \quad 7 \quad -3] Matrix becomes: [10730121][\begin{array}{cc|cc} 1 & 0 & 7 & -3 \\ 0 & 1 & -2 & 1 \end{array}]
  4. Conclusion: The LHS is now II, so the RHS is A1A^{-1}.
  • Answer: A1=[7321]A^{-1} = \begin{bmatrix} 7 & -3 \\ -2 & 1 \end{bmatrix}.

21. (CBSE 2018) A matrix A=[6x21]A=\begin{bmatrix} 6 & x \\ 2 & 1 \end{bmatrix} is singular (has no inverse). Find the value of x.

Explanation: A matrix is singular if its determinant is zero.

  1. Calculate the Determinant: det(A)=adbc=(6)(1)(x)(2)=62x\det(A) = ad-bc = (6)(1) - (x)(2) = 6-2x

  2. Set Determinant to Zero: 62x=0    6=2x    x=36-2x=0 \implies 6=2x \implies x=3

  • Answer: x=3.

22. (CBSE 2017) If A=[3175]A = \begin{bmatrix} 3 & 1 \\ 7 & 5 \end{bmatrix}, find x and y such that A2+xI=yAA^2+xI=yA

Explanation:

  1. Calculate A2A^2: A2=[3175][3175]A^2 = \begin{bmatrix} 3 & 1 \\ 7 & 5 \end{bmatrix}\begin{bmatrix} 3 & 1 \\ 7 & 5 \end{bmatrix} =[9+73+521+357+25]= \begin{bmatrix} 9+7 & 3+5 \\ 21+35 & 7+25 \end{bmatrix} =[1685632]= \begin{bmatrix} 16 & 8 \\ 56 & 32 \end{bmatrix}

  2. Write out the equation: LHS:A2+xI=[1685632]+[x00x]LHS: A^2+xI = \begin{bmatrix} 16 & 8 \\ 56 & 32 \end{bmatrix} + \begin{bmatrix} x & 0 \\ 0 & x \end{bmatrix} =[16+x85632+x]= \begin{bmatrix} 16+x & 8 \\ 56 & 32+x \end{bmatrix} RHS:yA=y[3175]=[3yy7y5y]RHS: yA = y\begin{bmatrix} 3 & 1 \\ 7 & 5 \end{bmatrix} = \begin{bmatrix} 3y & y \\ 7y & 5y \end{bmatrix}

  3. Equate Matrices and Solve: [16+x85632+x]=[3yy7y5y]\begin{bmatrix} 16+x & 8 \\ 56 & 32+x \end{bmatrix} = \begin{bmatrix} 3y & y \\ 7y & 5y \end{bmatrix}

    • a12a_{12}: 8=y    y=88 = y \implies y=8.
    • a21a_{21}: 56=7y    y=856 = 7y \implies y=8.
    • a11a_{11}: 16+x=3y    16+x=3(8)    16+x=24    x=816+x = 3y \implies 16+x = 3(8) \implies 16+x=24 \implies x=8.
    • a22a_{22}: 32+x=5y    32+x=5(8)    32+x=40    x=832+x = 5y \implies 32+x = 5(8) \implies 32+x=40 \implies x=8.

    All equations are consistent.

  • Answer: x=8, y=8.

23. (CBSE 2021) If A2A+I=OA^2 - A + I = O, prove that the inverse of A is IAI-A.

Explanation:

  1. Goal: To find A1A^{-1}, we must rearrange the equation into the form AB=IA \cdot B = I or BA=IB \cdot A = I, where BB will be the inverse.

  2. Rearrange the Equation: Start with A2A+I=OA^2-A+I=O. Isolate the identity matrix II.

    I=AA2I = A - A^2.

  3. Factor out A: Factor AA out of the right-hand side. We can pre-factor or post-factor.

    • Post-factor: I=A(IA)I = A(I - A).
    • Pre-factor: I=(IA)AI = (I - A)A.
  4. Conclusion: Both factorizations match the definition of an inverse AB=BA=IAB=BA=I, where B=IAB = I-A.

  • Answer: A1=IAA^{-1} = I-A.

24. (CBSE 2022) For what value of x, is the matrix A=[012103x30]A = \begin{bmatrix} 0 & 1 & -2 \\ -1 & 0 & 3 \\ x & -3 & 0 \end{bmatrix} skew-symmetric?

Explanation:

  1. Definition: A matrix is skew-symmetric if AT=AA^T = -A, which implies aij=ajia_{ij} = -a_{ji} for all i,ji,j. Also, all diagonal elements aiia_{ii} must be 0, which is already true for matrix A.

  2. Apply Condition: Let's check the a31a_{31} element.

    • a31=xa_{31} = x
    • a13=2a_{13} = -2
    • The condition is a31=a13a_{31} = -a_{13}.
  3. Solve: x=(2)    x=2x = -(-2) \implies x = 2.

    (We can check other elements: a21=1a_{21} = -1 and a12=1a_{12} = 1. a21=a12a_{21} = -a_{12} is true. a32=3a_{32} = -3 and a23=3a_{23} = 3. a32=a23a_{32} = -a_{23} is true.)

  • Answer: x=2.

25. (CBSE Sample Paper) If A is an invertible matrix of order 3 and A=5|A|=5, then find adjA|adj A|.

Explanation: This question uses a property of determinants and adjoints (covered in the next chapter).

  1. Recall Property: For an invertible matrix A of order nn, the determinant of its adjoint is given by the formula adjA=An1|adj A| = |A|^{n-1}

  2. Substitute Values: We are given n=3n=3 and A=5|A|=5.

  3. Calculate: adjA=531=52=25|adj A| = 5^{3-1} = 5^2=25

  • Answer: 25.

26. (CBSE 2019) If A=[2347]A = \begin{bmatrix} 2 & -3 \\ -4 & 7 \end{bmatrix}, find A1A^{-1}.

Explanation:

  1. Recall the 2x2 Inverse Formula: A1=1adbc[dbca]A^{-1} = \frac{1}{ad-bc}\begin{bmatrix} d & -b \\ -c & a \end{bmatrix}
  2. Calculate the Determinant: det(A)=adbc\det(A) = ad-bc =(2)(7)(3)(4)=1412=2= (2)(7) - (-3)(-4) = 14 - 12 = 2
  3. Apply the Formula: A1=12[7(3)(4)2]A^{-1} = \frac{1}{2}\begin{bmatrix} 7 & -(-3) \\ -(-4) & 2 \end{bmatrix} =12[7342]= \frac{1}{2}\begin{bmatrix} 7 & 3 \\ 4 & 2 \end{bmatrix}
  4. Scalar Multiplication: A1=[7/23/221]A^{-1} = \begin{bmatrix} 7/2 & 3/2 \\ 2 & 1 \end{bmatrix}
  • Answer: [7/23/221]\begin{bmatrix} 7/2 & 3/2 \\ 2 & 1 \end{bmatrix}.

27. (CBSE 2018) If A=[122212221]A = \begin{bmatrix} 1 & 2 & 2 \\ 2 & 1 & 2 \\ 2 & 2 & 1 \end{bmatrix}, show that A24A5I=OA^2-4A-5I=O

Explanation: This is a verification problem. We need to compute A2A^2, 4A4A, and 5I5I and show they sum to the zero matrix OO.

  1. Calculate A2A^2: A2=[122212221][122212221]A^2 = \begin{bmatrix} 1 & 2 & 2 \\ 2 & 1 & 2 \\ 2 & 2 & 1 \end{bmatrix}\begin{bmatrix} 1 & 2 & 2 \\ 2 & 1 & 2 \\ 2 & 2 & 1 \end{bmatrix} =[1+4+42+2+42+4+22+2+44+1+44+2+22+4+24+2+24+4+1]= \begin{bmatrix} 1+4+4 & 2+2+4 & 2+4+2 \\ 2+2+4 & 4+1+4 & 4+2+2 \\ 2+4+2 & 4+2+2 & 4+4+1 \end{bmatrix} =[988898889]= \begin{bmatrix} 9 & 8 & 8 \\ 8 & 9 & 8 \\ 8 & 8 & 9 \end{bmatrix}
  2. Calculate 4A4A and 5I5I: 4A=[488848884]4A = \begin{bmatrix} 4 & 8 & 8 \\ 8 & 4 & 8 \\ 8 & 8 & 4 \end{bmatrix} 5I=[500050005]5I = \begin{bmatrix} 5 & 0 & 0 \\ 0 & 5 & 0 \\ 0 & 0 & 5 \end{bmatrix}
  3. Compute the Expression: A24A5I=[988898889][488848884][500050005]A^2-4A-5I = \begin{bmatrix} 9 & 8 & 8 \\ 8 & 9 & 8 \\ 8 & 8 & 9 \end{bmatrix} - \begin{bmatrix} 4 & 8 & 8 \\ 8 & 4 & 8 \\ 8 & 8 & 4 \end{bmatrix} - \begin{bmatrix} 5 & 0 & 0 \\ 0 & 5 & 0 \\ 0 & 0 & 5 \end{bmatrix} =[945880880880945880880880945]= \begin{bmatrix} 9-4-5 & 8-8-0 & 8-8-0 \\ 8-8-0 & 9-4-5 & 8-8-0 \\ 8-8-0 & 8-8-0 & 9-4-5 \end{bmatrix} =[000000000]=O= \begin{bmatrix} 0 & 0 & 0 \\ 0 & 0 & 0 \\ 0 & 0 & 0 \end{bmatrix} = O
  • Answer: Proven.

28. (CBSE 2020) Given A=[2312],B=[1213]A = \begin{bmatrix} 2 & 3 \\ 1 & 2 \end{bmatrix}, B = \begin{bmatrix} 1 & -2 \\ -1 & 3 \end{bmatrix}, verify (AB)1=B1A1(AB)^{-1}=B^{-1}A^{-1}

Explanation:

1. Calculate LHS: (AB)1(AB)^{-1} AB=[2312][1213]AB = \begin{bmatrix} 2 & 3 \\ 1 & 2 \end{bmatrix}\begin{bmatrix} 1 & -2 \\ -1 & 3 \end{bmatrix} =[234+9122+6]= \begin{bmatrix} 2-3 & -4+9 \\ 1-2 & -2+6 \end{bmatrix} =[1514]= \begin{bmatrix} -1 & 5 \\ -1 & 4 \end{bmatrix} det(AB)=(1)(4)(5)(1)=4+5=1\det(AB) = (-1)(4) - (5)(-1) = -4+5 = 1 (AB)1=11[4511]=[4511](AB)^{-1} = \frac{1}{1}\begin{bmatrix} 4 & -5 \\ 1 & -1 \end{bmatrix} = \begin{bmatrix} 4 & -5 \\ 1 & -1 \end{bmatrix}

2. Calculate RHS: B1A1B^{-1}A^{-1} A1=143[2312]=[2312]A^{-1} = \frac{1}{4-3}\begin{bmatrix} 2 & -3 \\ -1 & 2 \end{bmatrix} = \begin{bmatrix} 2 & -3 \\ -1 & 2 \end{bmatrix} B1=132[3211]=[3211]B^{-1} = \frac{1}{3-2}\begin{bmatrix} 3 & 2 \\ 1 & 1 \end{bmatrix} = \begin{bmatrix} 3 & 2 \\ 1 & 1 \end{bmatrix} B1A1=[3211][2312]B^{-1}A^{-1} = \begin{bmatrix} 3 & 2 \\ 1 & 1 \end{bmatrix}\begin{bmatrix} 2 & -3 \\ -1 & 2 \end{bmatrix} =[629+4213+2]= \begin{bmatrix} 6-2 & -9+4 \\ 2-1 & -3+2 \end{bmatrix} =[4511]= \begin{bmatrix} 4 & -5 \\ 1 & -1 \end{bmatrix}

3. Conclusion: Since LHS = RHS, the property is verified.

  • Answer: Verified.

29. (CBSE 2022) Let A=[1121],B=[a1b1]A=\begin{bmatrix} 1 & -1 \\ 2 & 1 \end{bmatrix}, B=\begin{bmatrix} a & 1 \\ b & -1 \end{bmatrix} and (A+B)2=A2+B2(A+B)^2=A^2+B^2. Find a and b.

Explanation

  1. Analyze the Given Equation: We are given the equation (A+B)2=A2+B2(A+B)^2 = A^2+B^2 Let's expand the left-hand side (LHS): (A+B)2=(A+B)(A+B)=A(A+B)+B(A+B)=A2+AB+BA+B2(A+B)^2 = (A+B)(A+B) = A(A+B) + B(A+B) = A^2 + AB + BA + B^2

  2. Simplify the Condition: Substituting the expansion into the original equation: A2+AB+BA+B2=A2+B2A^2 + AB + BA + B^2 = A^2 + B^2 Subtracting A2A^2 and B2B^2 from both sides, we get the simplified condition: AB+BA=OAB + BA = O (where O is the 2x2 zero matrix).

  3. Calculate the product AB: AB=[1121][a1b1]AB = \begin{bmatrix} 1 & -1 \\ 2 & 1 \end{bmatrix} \begin{bmatrix} a & 1 \\ b & -1 \end{bmatrix} =[(1)(a)+(1)(b)(1)(1)+(1)(1)(2)(a)+(1)(b)(2)(1)+(1)(1)]= \begin{bmatrix} (1)(a)+(-1)(b) & (1)(1)+(-1)(-1) \\ (2)(a)+(1)(b) & (2)(1)+(1)(-1) \end{bmatrix} =[ab22a+b1]= \begin{bmatrix} a-b & 2 \\ 2a+b & 1 \end{bmatrix}

  4. Calculate the product BA: BA=[a1b1][1121]BA = \begin{bmatrix} a & 1 \\ b & -1 \end{bmatrix} \begin{bmatrix} 1 & -1 \\ 2 & 1 \end{bmatrix} =[(a)(1)+(1)(2)(a)(1)+(1)(1)(b)(1)+(1)(2)(b)(1)+(1)(1)]= \begin{bmatrix} (a)(1)+(1)(2) & (a)(-1)+(1)(1) \\ (b)(1)+(-1)(2) & (b)(-1)+(-1)(1) \end{bmatrix} =[a+21ab2b1]= \begin{bmatrix} a+2 & 1-a \\ b-2 & -b-1 \end{bmatrix}

  5. Set up the equation AB+BA=OAB + BA = O: [ab22a+b1]+[a+21ab2b1]=[0000]\begin{bmatrix} a-b & 2 \\ 2a+b & 1 \end{bmatrix} + \begin{bmatrix} a+2 & 1-a \\ b-2 & -b-1 \end{bmatrix} = \begin{bmatrix} 0 & 0 \\ 0 & 0 \end{bmatrix} Adding the corresponding elements gives us a new matrix: [(ab)+(a+2)2+(1a)(2a+b)+(b2)1+(b1)]\begin{bmatrix} (a-b)+(a+2) & 2+(1-a) \\ (2a+b)+(b-2) & 1+(-b-1) \end{bmatrix} =[2ab+23a2a+2b2b]= \begin{bmatrix} 2a-b+2 & 3-a \\ 2a+2b-2 & -b \end{bmatrix} =[0000]= \begin{bmatrix} 0 & 0 \\ 0 & 0 \end{bmatrix}

  6. Solve the System of Equations: From the equality of matrices, we get four equations:

    (i) 2ab+2=02a-b+2 = 0

    (ii) 3a=03-a = 0

    (iii) 2a+2b2=02a+2b-2 = 0

    (iv) b=0-b = 0

    From (iv), we get b=0b=0.

    From (ii), we get a=3a=3.

  7. Check for Contradiction: We must check if these values (a=3,b=0a=3, b=0) satisfy the other two equations:

    • Check (i): 2(3)0+2=6+2=82(3) - 0 + 2 = 6 + 2 = 8. The equation requires this to be 0, but 808 \neq 0.
    • Check (iii): 2(3)+2(0)2=62=42(3) + 2(0) - 2 = 6 - 2 = 4. The equation requires this to be 0, but 404 \neq 0.

Conclusion: The system of equations is inconsistent. There are no values of aa and bb that can satisfy all four conditions simultaneously.

Answer: There are no such values for a and b.

30. (CBSE 2023) If A is a square matrix such that A2=AA^2=A, show that (I+A)37A=I(I+A)^3-7A=I.

Explanation:

  1. Expand the Binomial: Since II and AA commute, we can use the binomial expansion (I+A)3=I3+3I2A+3IA2+A3(I+A)^3 = I^3 + 3I^2A + 3IA^2 + A^3

  2. Simplify Properties: I3=II^3=I, I2A=AI^2A=A, IA2=A2IA^2=A^2. So, (I+A)3=I+3A+3A2+A3(I+A)^3 = I + 3A + 3A^2 + A^3

  3. Use Given Condition (A2=AA^2=A):

    • A3=A2A=AA=A2=AA^3 = A^2 \cdot A = A \cdot A = A^2 = A
  4. Substitute Back: (I+A)3=I+3A+3(A)+(A)=I+7A(I+A)^3 = I + 3A + 3(A) + (A) = I + 7A

  5. Final Calculation: The original expression is (I+A)37A(I+A)^3-7A. Substituting our result:

    (I+7A)7A=I(I+7A) - 7A = I.

  • Answer: Proven.