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JEE Main 2022
Matrices & Determinants
Matrices and Determinants
Medium

Question

Let B=[13α123αα4],α>2B=\left[\begin{array}{lll}1 & 3 & \alpha \\ 1 & 2 & 3 \\ \alpha & \alpha & 4\end{array}\right], \alpha > 2 be the adjoint of a matrix AA and A=2|A|=2. Then [α2αα]B[α2αα]\left[\begin{array}{ccc}\alpha & -2 \alpha & \alpha\end{array}\right] B\left[\begin{array}{c}\alpha \\ -2 \alpha \\ \alpha\end{array}\right] is equal to :

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Solution

Key Concept: Properties of Adjoint and Determinant

The core concept utilized in this problem is the relationship between the determinant of a matrix and the determinant of its adjoint. For an n×nn \times n square matrix AA, the determinant of its adjoint, denoted as adj(A)\operatorname{adj}(A), is given by the formula: adj(A)=An1|\operatorname{adj}(A)| = |A|^{n-1} Here, nn represents the order (dimension) of the matrix AA.

Step-by-Step Solution

1. Determine the Order of Matrix A and Apply the Adjoint Property

  • Understanding the setup: We are given matrix BB which is the adjoint of matrix AA, i.e., B=adj(A)B = \operatorname{adj}(A). We are also given that A=2|A|=2.
  • Finding the order of A: Matrix BB is a 3×33 \times 3 matrix. Since BB is the adjoint of AA, matrix AA must also be a 3×33 \times 3 matrix. Therefore, the order n=3n=3.
  • Applying the formula: Using the property adj(A)=An1|\operatorname{adj}(A)| = |A|^{n-1}, we can substitute n=3n=3 and A=2|A|=2: adj(A)=A31=A2=22=4|\operatorname{adj}(A)| = |A|^{3-1} = |A|^2 = 2^2 = 4
  • Relating to B: Since B=adj(A)B = \operatorname{adj}(A), we have: B=4|B| = 4 This is a crucial piece of information that will help us find the value of α\alpha.

2. Calculate the Determinant of Matrix B in terms of α\alpha

  • Matrix B: B=[13α123αα4]B=\left[\begin{array}{lll} 1 & 3 & \alpha \\ 1 & 2 & 3 \\ \alpha & \alpha & 4 \end{array}\right]
  • Expanding the determinant: We calculate B|B| by expanding along the first row (or any row/column): B=1det[23α4]3det[13α4]+αdet[12αα]|B| = 1 \cdot \det\left[\begin{array}{ll} 2 & 3 \\ \alpha & 4 \end{array}\right] - 3 \cdot \det\left[\begin{array}{ll} 1 & 3 \\ \alpha & 4 \end{array}\right] + \alpha \cdot \det\left[\begin{array}{ll} 1 & 2 \\ \alpha & \alpha \end{array}\right] B=1((2)(4)(3)(α))3((1)(4)(3)(α))+α((1)(α)(2)(α))|B| = 1( (2)(4) - (3)(\alpha) ) - 3( (1)(4) - (3)(\alpha) ) + \alpha( (1)(\alpha) - (2)(\alpha) ) B=1(83α)3(43α)+α(α2α)|B| = 1(8 - 3\alpha) - 3(4 - 3\alpha) + \alpha(\alpha - 2\alpha) B=83α12+9α+α(α)|B| = 8 - 3\alpha - 12 + 9\alpha + \alpha(-\alpha) B=83α12+9αα2|B| = 8 - 3\alpha - 12 + 9\alpha - \alpha^2 B=α2+6α4|B| = -\alpha^2 + 6\alpha - 4

3. Solve for α\alpha using the Determinant Equation

  • Equating B|B|: From Step 1, we know B=4|B|=4. From Step 2, we found B=α2+6α4|B| = -\alpha^2 + 6\alpha - 4. Equating these two expressions: α2+6α4=4-\alpha^2 + 6\alpha - 4 = 4
  • Rearranging to a quadratic equation: α2+6α8=0-\alpha^2 + 6\alpha - 8 = 0 Multiplying by 1-1 to make the leading coefficient positive: α26α+8=0\alpha^2 - 6\alpha + 8 = 0
  • Factoring the quadratic: We look for two numbers that multiply to 8 and add to -6. These are -2 and -4. (α2)(α4)=0(\alpha - 2)(\alpha - 4) = 0
  • Possible values for α\alpha: α=2orα=4\alpha = 2 \quad \text{or} \quad \alpha = 4
  • Applying the given condition: The problem states that α>2\alpha > 2. Therefore, we must choose α=4\alpha = 4.

Common Mistake Alert: Always remember to use all given conditions, like α>2\alpha > 2, to narrow down the possible solutions. Failing to do so might lead to incorrect results.

4. Substitute α=4\alpha=4 into the Expression and Perform Matrix Multiplication

  • The expression to evaluate: We need to find the value of: [α2αα]B[α2αα]\left[\begin{array}{ccc}\alpha & -2 \alpha & \alpha\end{array}\right] B\left[\begin{array}{c}\alpha \\ -2 \alpha \\ \alpha\end{array}\right]

  • Substitute α=4\alpha=4 into the row and column matrices: [42(4)4]B[42(4)4]=[484]B[484]\left[\begin{array}{ccc}4 & -2(4) & 4\end{array}\right] B\left[\begin{array}{c}4 \\ -2(4) \\ 4\end{array}\right] = \left[\begin{array}{ccc}4 & -8 & 4\end{array}\right] B\left[\begin{array}{c}4 \\ -8 \\ 4\end{array}\right]

  • Substitute α=4\alpha=4 into matrix B: B=[134123444]B=\left[\begin{array}{lll} 1 & 3 & 4 \\ 1 & 2 & 3 \\ 4 & 4 & 4 \end{array}\right]

  • The full expression with numerical values: [484][134123444][484]\left[\begin{array}{ccc}4 & -8 & 4\end{array}\right] \left[\begin{array}{lll} 1 & 3 & 4 \\ 1 & 2 & 3 \\ 4 & 4 & 4 \end{array}\right] \left[\begin{array}{c}4 \\ -8 \\ 4\end{array}\right]

  • Perform the first matrix multiplication: Multiply the row matrix by BB. Let R1=[484]R_1 = \left[\begin{array}{ccc}4 & -8 & 4\end{array}\right]. R1B=[484][134123444]R_1 B = \left[\begin{array}{ccc}4 & -8 & 4\end{array}\right] \left[\begin{array}{lll} 1 & 3 & 4 \\ 1 & 2 & 3 \\ 4 & 4 & 4 \end{array}\right] The resulting matrix will be a 1×31 \times 3 matrix:

    • First element: (4)(1)+(8)(1)+(4)(4)=48+16=12(4)(1) + (-8)(1) + (4)(4) = 4 - 8 + 16 = 12
    • Second element: (4)(3)+(8)(2)+(4)(4)=1216+16=12(4)(3) + (-8)(2) + (4)(4) = 12 - 16 + 16 = 12
    • Third element: (4)(4)+(8)(3)+(4)(4)=1624+16=8(4)(4) + (-8)(3) + (4)(4) = 16 - 24 + 16 = 8 So, R1B=[12128]R_1 B = \left[\begin{array}{ccc}12 & 12 & 8\end{array}\right].
  • Perform the second matrix multiplication: Now multiply the result from the previous step by the column matrix C1=[484]C_1 = \left[\begin{array}{c}4 \\ -8 \\ 4\end{array}\right]. [12128][484]\left[\begin{array}{ccc}12 & 12 & 8\end{array}\right] \left[\begin{array}{c}4 \\ -8 \\ 4\end{array}\right] The result will be a 1×11 \times 1 matrix (a scalar value): (12)(4)+(12)(8)+(8)(4)(12)(4) + (12)(-8) + (8)(4) =4896+32= 48 - 96 + 32 =8096= 80 - 96 =16= -16

Tip for Matrix Multiplication: Be meticulous with your calculations, especially with signs. A common error is miscalculating products or sums.

Conclusion

The value of the given expression is 16-16.

Final Answer: The final answer is -16\boxed{\text{-16}}.

Key Takeaway: This problem effectively tests your understanding of the properties of the adjoint matrix and determinants, specifically adj(A)=An1|\operatorname{adj}(A)| = |A|^{n-1}, along with your ability to perform matrix determinant calculations and matrix multiplication accurately. Always pay attention to given conditions like inequalities for variables.

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