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JEE Main 2023
Matrices & Determinants
Matrices and Determinants
Easy

Question

If A = \left( {\matrix{ 2 & 2 \cr 9 & 4 \cr } } \right) and I = \left( {\matrix{ 1 & 0 \cr 0 & 1 \cr } } \right) then 10A –1 is equal to :

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Solution

1. Key Concepts and Formulas

  • Cayley-Hamilton Theorem: This fundamental theorem states that every square matrix satisfies its own characteristic polynomial equation. If P(λ)=0P(\lambda) = 0 is the characteristic equation of a matrix AA, then P(A)=0P(A) = 0 (where constant terms are replaced by constant times the identity matrix).
  • Characteristic Equation: For a square matrix AA, its characteristic equation is found by solving det(AλI)=0\det(A - \lambda I) = 0, where λ\lambda is a scalar variable and II is the identity matrix of the same order as AA. For a 2×22 \times 2 matrix A=(abcd)A = \begin{pmatrix} a & b \\ c & d \end{pmatrix}, the characteristic equation is λ2(a+d)λ+(adbc)=0\lambda^2 - (a+d)\lambda + (ad-bc) = 0.
  • Matrix Inverse Properties: Key properties used when manipulating equations involving A1A^{-1} include A1A=IA^{-1}A = I, A1I=A1A^{-1}I = A^{-1}, and for a scalar kk and matrix XX, A1(kX)=k(A1X)A^{-1}(kX) = k(A^{-1}X).

2. Step-by-Step Solution

Step 1: Form the matrix (AλI)(A - \lambda I) We are given the matrix A=(2294)A = \begin{pmatrix} 2 & 2 \\ 9 & 4 \end{pmatrix} and the identity matrix I=(1001)I = \begin{pmatrix} 1 & 0 \\ 0 & 1 \end{pmatrix}. To find the characteristic equation, we first construct the matrix (AλI)(A - \lambda I). This operation involves subtracting λ\lambda times the identity matrix from AA, which effectively subtracts λ\lambda from each element on the main diagonal of AA. AλI=(2294)λ(1001)=(2λ294λ)A - \lambda I = \begin{pmatrix} 2 & 2 \\ 9 & 4 \end{pmatrix} - \lambda \begin{pmatrix} 1 & 0 \\ 0 & 1 \end{pmatrix} = \begin{pmatrix} 2 - \lambda & 2 \\ 9 & 4 - \lambda \end{pmatrix}

Step 2: Calculate the determinant of (AλI)(A - \lambda I) and set it to zero The characteristic equation is defined as det(AλI)=0\det(A - \lambda I) = 0. For a 2×22 \times 2 matrix (abcd)\begin{pmatrix} a & b \\ c & d \end{pmatrix}, its determinant is adbcad - bc. Applying this to our matrix (AλI)(A - \lambda I): det(AλI)=(2λ)(4λ)(2)(9)=0\det(A - \lambda I) = (2 - \lambda)(4 - \lambda) - (2)(9) = 0

Step 3: Expand and simplify the equation to find the characteristic polynomial Now, we expand the product and combine the terms to form a quadratic polynomial in λ\lambda. (2λ)(4λ)18=0(2 - \lambda)(4 - \lambda) - 18 = 0 (82λ4λ+λ2)18=0(8 - 2\lambda - 4\lambda + \lambda^2) - 18 = 0 λ26λ+818=0\lambda^2 - 6\lambda + 8 - 18 = 0 λ26λ+10=0\lambda^2 - 6\lambda + 10 = 0 This is the characteristic equation of matrix AA.

Step 4: Apply the Cayley-Hamilton Theorem According to the Cayley-Hamilton Theorem, matrix AA must satisfy its own characteristic equation. This means we can substitute AA for λ\lambda, A2A^2 for λ2\lambda^2, and the constant term 1010 must be replaced by 10I10I (where II is the 2×22 \times 2 identity matrix) to maintain dimensional consistency within the matrix equation. Substituting AA into the characteristic equation λ26λ+10=0\lambda^2 - 6\lambda + 10 = 0: A26A+10I=0A^2 - 6A + 10I = 0 This is a fundamental matrix equation derived from the given matrix AA.

Step 5: Solve for 10A110A^{-1} Our objective is to find an expression for 10A110A^{-1}. We can achieve this by manipulating the matrix equation we just derived. First, we rearrange the equation to isolate the term containing the identity matrix: 10I=6AA210I = 6A - A^2 Next, we multiply the entire equation by A1A^{-1}. Since we are looking for A1A^{-1}, we must ensure AA is invertible. The determinant of AA is (2)(4)(2)(9)=818=100(2)(4) - (2)(9) = 8 - 18 = -10 \neq 0, so A1A^{-1} exists. We'll multiply each term by A1A^{-1} from the left. A1(10I)=A1(6AA2)A^{-1}(10I) = A^{-1}(6A - A^2) Now, we apply the properties of matrix inverses and multiplication:

  • A1(10I)=10A1A^{-1}(10I) = 10A^{-1}
  • A1(6A)=6(A1A)=6IA^{-1}(6A) = 6(A^{-1}A) = 6I
  • A1(A2)=A1(AA)=(A1A)A=IA=AA^{-1}(A^2) = A^{-1}(AA) = (A^{-1}A)A = IA = A Substituting these simplified terms back into the equation: 10A1=6IA10A^{-1} = 6I - A We have successfully derived the expression for 10A110A^{-1}.

3. Common Mistakes & Tips

  • Arithmetic Precision: Be extremely careful with arithmetic, especially when calculating the determinant and simplifying the characteristic equation. A single sign error can lead to an incorrect final answer.
  • Constant Term Conversion: Always remember to convert the constant term kk in the characteristic polynomial to kIkI when forming the matrix equation using the Cayley-Hamilton Theorem. This maintains matrix dimensional consistency.
  • Matrix Multiplication Direction: While multiplying by A1A^{-1}, ensure you apply it consistently to all terms and from the same side (e.g., always pre-multiply or always post-multiply). For this problem, multiplying from either side yields the same result because AA commutes with II and A2A^2 commutes with AA.
  • Understanding the Power: The Cayley-Hamilton Theorem allows us to find powers of matrices or their inverses without direct, lengthy computations, making it a very efficient tool for such problems.

4. Summary The problem asked us to find an expression for 10A110A^{-1} using the given matrix AA. We employed the Cayley-Hamilton Theorem, which states that every matrix satisfies its own characteristic equation. We first calculated the characteristic equation det(AλI)=0\det(A - \lambda I) = 0. Then, we substituted AA into this equation, converting the constant term to a multiple of the identity matrix. Finally, by multiplying the resulting matrix equation by A1A^{-1} and simplifying, we successfully isolated 10A110A^{-1} to find it equals 6IA6I - A.

5. Final Answer The final answer is 6I - A\boxed{\text{6I - A}}, which corresponds to option (A).

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