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Let A be a non - singular square matrix ...

Let A be a non - singular square matrix such that `A^(2)=A` satisfying `(I-0.8A)^(-1)=I-alphaA` where I is a unit matrix of the same order as that of A, then the value of `-4alpha` is equal to

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To solve the problem, we need to find the value of \(-4\alpha\) given the equation: \[ (I - 0.8A)^{-1} = I - \alpha A \] where \(A\) is a non-singular square matrix satisfying \(A^2 = A\). ### Step 1: Rewrite the equation We start with the equation: \[ (I - 0.8A)^{-1} = I - \alpha A \] ### Step 2: Multiply both sides by \(I - 0.8A\) To eliminate the inverse, we multiply both sides by \(I - 0.8A\): \[ I = (I - \alpha A)(I - 0.8A) \] ### Step 3: Expand the right-hand side Now, we expand the right-hand side: \[ I = I - 0.8A - \alpha A + 0.8\alpha A^2 \] ### Step 4: Substitute \(A^2 = A\) Since \(A^2 = A\), we can substitute \(A\) for \(A^2\): \[ I = I - 0.8A - \alpha A + 0.8\alpha A \] ### Step 5: Combine like terms Now, we combine the terms involving \(A\): \[ I = I - (0.8 - 0.8\alpha - \alpha)A \] ### Step 6: Set the coefficients of \(A\) to zero For the equation to hold, the coefficient of \(A\) must be zero: \[ 0.8 - 0.8\alpha - \alpha = 0 \] ### Step 7: Solve for \(\alpha\) Rearranging gives: \[ 0.8 = (0.8 + 1)\alpha \] \[ 0.8 = 1.8\alpha \] \[ \alpha = \frac{0.8}{1.8} = \frac{4}{9} \] ### Step 8: Calculate \(-4\alpha\) Now we calculate \(-4\alpha\): \[ -4\alpha = -4 \times \frac{4}{9} = -\frac{16}{9} \] ### Final Answer Thus, the value of \(-4\alpha\) is: \[ \boxed{-\frac{16}{9}} \]
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