We are given the quadratic equation: \[ x^2 - (a - 2)x - (a - 1) = 0 \] Let the roots of the equation be \( r_1 \) and \( r_2 \). We need to find the value of \( a \) for which the sum of the squares of the roots is minimized.
Step 1: Sum and product of the roots
From Vieta's formulas for a quadratic equation \( ax^2 + bx + c = 0 \), we know that: \[ r_1 + r_2 = -\frac{b}{a}, \quad r_1 r_2 = \frac{c}{a} \] For the equation \( x^2 - (a - 2)x - (a - 1) = 0 \), comparing with \( x^2 + bx + c = 0 \), we get: \[ r_1 + r_2 = a - 2, \quad r_1 r_2 = -(a - 1) \]
Step 2: Expression for the sum of the squares of the roots
The sum of the squares of the roots is given by: \[ r_1^2 + r_2^2 = (r_1 + r_2)^2 - 2r_1 r_2 \] Substituting the values from Vieta's formulas: \[ r_1^2 + r_2^2 = (a - 2)^2 - 2(-(a - 1)) = (a - 2)^2 + 2(a - 1) \] Expanding this expression: \[ r_1^2 + r_2^2 = (a^2 - 4a + 4) + 2a - 2 = a^2 - 2a + 2 \]
Step 3: Minimizing the sum of squares of the roots
The function to minimize is: \[ f(a) = a^2 - 2a + 2 \] To find the value of \( a \) that minimizes this function, we take the derivative of \( f(a) \): \[ f'(a) = 2a - 2 \] Setting \( f'(a) = 0 \) to find the critical points: \[ 2a - 2 = 0 \quad \Rightarrow \quad a = 1 \]
Step 4: Verifying the minimum
To confirm that \( a = 1 \) gives a minimum, we check the second derivative: \[ f''(a) = 2 \] Since \( f''(a) > 0 \), the function is concave up, and \( a = 1 \) corresponds to a minimum.
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For \( X = (x_1, x_2, x_3)^T \in \mathbb{R}^3 \), consider the quadratic form:
\[ Q(X) = 2x_1^2 + 2x_2^2 + 3x_3^2 + 4x_1x_2 + 2x_1x_3 + 2x_2x_3. \] Let \( M \) be the symmetric matrix associated with the quadratic form \( Q(X) \) with respect to the standard basis of \( \mathbb{R}^3 \).
Let \( Y = (y_1, y_2, y_3)^T \in \mathbb{R}^3 \) be a non-zero vector, and let
\[ a_n = \frac{Y^T(M + I_3)^{n+1}Y}{Y^T(M + I_3)^n Y}, \quad n = 1, 2, 3, \dots \] Then, the value of \( \lim_{n \to \infty} a_n \) is equal to (in integer).