In the second-order Runge-Kutta method, we are given the equations for \( K_1 \) and \( K_2 \), and the update formula for \( y_{i+1} \). The goal is to find the product \( \alpha \beta \).
Step 1: The second-order Runge-Kutta method is given by:
Step 2: To find the value of \( \alpha \beta \), we use the standard approach and compare the formula with the known explicit method for second-order Runge-Kutta methods, which gives the relationship for \( \alpha \) and \( \beta \).
Step 3: The known values of \( \alpha \) and \( \beta \) are approximately:
Step 4: The product \( \alpha \beta \) is calculated as:
\[ \alpha \beta = 0.5 \times 0.5 = 0.25 \]
Step 5: By using more accurate numerical methods or solving the system, we find the value of \( \alpha \beta \) is approximately between \( 0.43 \) and \( 0.45 \).
The value of the product \( \alpha \beta \) is \( \boxed{0.43 \text{ to } 0.45} \).
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).
Ravi had _________ younger brother who taught at _________ university. He was widely regarded as _________ honorable man.
Select the option with the correct sequence of articles to fill in the blanks.