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JEE Main 2023
Matrices & Determinants
Matrices and Determinants
Medium

Question

Let A be a 3 ×\times 3 matrix with det(A) = 4. Let R i denote the i th row of A. If a matrix B is obtained by performing the operation R 2 \to 2R 2 + 5R 3 on 2A, then det(B) is equal to :

Options

Solution

  1. Key Concepts and Formulas

    • Scalar Multiplication of a Matrix: For an n×nn \times n matrix AA and a scalar kk, the determinant of the matrix kAkA is given by: det(kA)=kndet(A)\det(kA) = k^n \det(A) This property arises because multiplying a matrix by kk means every element is multiplied by kk. When calculating the determinant, we can factor out kk from each of the nn rows (or nn columns), resulting in knk^n.

    • Effect of Elementary Row Operations on Determinants:

      • If a matrix BB is obtained from AA by multiplying a single row by a scalar kk (i.e., RikRiR_i \to kR_i), then det(B)=kdet(A)\det(B) = k \det(A).
      • If a matrix BB is obtained from AA by adding a scalar multiple of one row to another row (i.e., RiRi+kRjR_i \to R_i + kR_j), then det(B)=det(A)\det(B) = \det(A).
      • If a matrix has two identical rows, its determinant is 0.
    • Linearity of Determinant with respect to a Row: The determinant is linear with respect to each row. For example, if R1,R2,R3R_1, R_2, R_3 are rows of a matrix, then: det(R1cR2+dR3R3)=cdet(R1R2R3)+ddet(R1R3R3)\det\begin{pmatrix} R_1 \\ cR_2 + dR_3 \\ R_3 \end{pmatrix} = c \det\begin{pmatrix} R_1 \\ R_2 \\ R_3 \end{pmatrix} + d \det\begin{pmatrix} R_1 \\ R_3 \\ R_3 \end{pmatrix}

  2. Step-by-Step Solution

    Step 1: Calculate the determinant of the matrix 2A2A.

    • What we are doing: We first determine the determinant of the matrix 2A2A using the property of scalar multiplication of a matrix.
    • Why we are doing it: The problem specifies that the subsequent row operation is performed on 2A2A, so we need its determinant as a starting point.
    • Math: Given that AA is a 3×33 \times 3 matrix, the dimension n=3n=3. Given det(A)=4\det(A) = 4. Using the property det(kA)=kndet(A)\det(kA) = k^n \det(A) with k=2k=2: det(2A)=23det(A)\det(2A) = 2^3 \det(A) det(2A)=8×4\det(2A) = 8 \times 4 det(2A)=32\det(2A) = 32
    • Reasoning: Since AA is a 3×33 \times 3 matrix, multiplying the entire matrix by 2 is equivalent to multiplying each of its three rows by 2. Each such row multiplication factors out a 2 from the determinant, leading to 232^3 as the overall scalar multiplier for the determinant.

    Step 2: Apply the row operation R22R2+5R3R_2 \to 2R_2 + 5R_3 to the matrix 2A2A to obtain matrix BB.

    • What we are doing: We apply the given complex row operation to the matrix 2A2A and determine how this operation affects its determinant.
    • Why we are doing it: This is the final step in constructing matrix BB from 2A2A, and we need to find det(B)\det(B).
    • Math: Let C=2AC = 2A. The rows of CC are R1R_1', R2R_2', and R3R_3'. From Step 1, we know det(C)=det(R1R2R3)=32\det(C) = \det\begin{pmatrix} R_1' \\ R_2' \\ R_3' \end{pmatrix} = 32. Matrix BB is obtained from CC by the operation R22R2+5R3R_2' \to 2R_2' + 5R_3'. Therefore, the rows of BB are R1R_1', (2R2+5R3)(2R_2' + 5R_3'), and R3R_3'. We can write det(B)\det(B) as: det(B)=det(R12R2+5R3R3)\det(B) = \det\begin{pmatrix} R_1' \\ 2R_2' + 5R_3' \\ R_3' \end{pmatrix} Using the linearity property of determinants with respect to the second row: det(B)=2det(R1R2R3)+5det(R1R3R3)\det(B) = 2 \det\begin{pmatrix} R_1' \\ R_2' \\ R_3' \end{pmatrix} + 5 \det\begin{pmatrix} R_1' \\ R_3' \\ R_3' \end{pmatrix} We know that if a matrix has two identical rows, its determinant is 0. In the second term, the second and third rows are both R3R_3', so det(R1R3R3)=0\det\begin{pmatrix} R_1' \\ R_3' \\ R_3' \end{pmatrix} = 0. Substituting this into the equation for det(B)\det(B): det(B)=2det(R1R2R3)+5×0\det(B) = 2 \det\begin{pmatrix} R_1' \\ R_2' \\ R_3' \end{pmatrix} + 5 \times 0 det(B)=2det(C)\det(B) = 2 \det(C) Now, substitute the value of det(C)\det(C) from Step 1: det(B)=2×32\det(B) = 2 \times 32 det(B)=64\det(B) = 64
    • Reasoning: The row operation R22R2+5R3R_2 \to 2R_2 + 5R_3 is a combination. Due to the linearity of the determinant, we can split this into two terms. The first term, 2det(C)2 \det(C), accounts for the scaling of R2R_2'. The second term, 5det(matrix with R3 in both second and third rows)5 \det(\text{matrix with } R_3' \text{ in both second and third rows}), results in zero because a matrix with two identical rows has a determinant of zero. Thus, only the scaling factor of the affected row contributes to the change in the determinant.
  3. Common Mistakes & Tips

    • Incorrect Scalar Multiplication: A frequent error is to assume det(kA)=kdet(A)\det(kA) = k \det(A). Remember to raise the scalar kk to the power of the matrix dimension nn, i.e., det(kA)=kndet(A)\det(kA) = k^n \det(A).
    • Misinterpreting Complex Row Operations: An operation like RikRi+lRjR_i \to kR_i + lR_j is not simply an "add a multiple of another row" operation. The kk multiplying RiR_i itself will scale the determinant by kk, while the lRjlR_j part contributes zero due to the property of identical rows.
    • Order of Operations: Always perform matrix operations in the sequence specified. First, multiply the matrix by the scalar, then apply the row operation.
  4. Summary

    We began by calculating the determinant of 2A2A. Since AA is a 3×33 \times 3 matrix, det(2A)\det(2A) is 232^3 times det(A)\det(A), which yielded 3232. Next, we applied the row operation R22R2+5R3R_2 \to 2R_2 + 5R_3 to 2A2A (let's call it CC) to obtain matrix BB. Using the linearity property of determinants with respect to rows, we expressed det(B)\det(B) as a sum of two determinants: 2det(C)2 \det(C) and 5det(a matrix with two identical rows)5 \det(\text{a matrix with two identical rows}). The second term evaluates to zero because a matrix with identical rows has a determinant of zero. Therefore, det(B)\det(B) simplified to 2det(C)2 \det(C), which is 2×32=642 \times 32 = 64.

  5. Final Answer

    The final answer is \boxed{64}, which corresponds to option (A).

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