Step 1: Understanding the Concept:
We are given a system of first-order linear homogeneous differential equations. We need to find the general solution and then use the initial conditions to find the particular solution. Finally, we must analyze the long-term behavior (\(t \to \infty\)) of the solution for different initial conditions.
Step 2: Key Formula or Approach:
1. Convert the system into a single second-order ODE.
2. Find the general solution of the second-order ODE.
3. Use the general solution to find the solution for the other variable.
4. Apply the initial conditions to determine the constants.
5. Analyze the limit of \(|x(t)| + |y(t)|\) as \(t \to \infty\).
Step 3: Detailed Calculation:
From \(x'(t) = y(t)\), we can differentiate to get \(x''(t) = y'(t)\).
Substituting \(y'(t) = x(t)\) from the second equation gives \(x''(t) = x(t)\), or \(x'' - x = 0\).
The characteristic equation is \(r^2 - 1 = 0\), which has roots \(r_1 = 1\) and \(r_2 = -1\).
The general solution for \(x(t)\) is:
\[ x(t) = c_1 e^t + c_2 e^{-t} \]
Then \(y(t)\) is the derivative of \(x(t)\):
\[ y(t) = x'(t) = c_1 e^t - c_2 e^{-t} \]
Now we apply the initial conditions \(x(0) = \alpha\) and \(y(0) = \beta\):
\[ x(0) = c_1 e^0 + c_2 e^0 = c_1 + c_2 = \alpha \]
\[ y(0) = c_1 e^0 - c_2 e^0 = c_1 - c_2 = \beta \]
We solve this system for \(c_1\) and \(c_2\). Adding the two equations gives \(2c_1 = \alpha + \beta\), so \(c_1 = \frac{\alpha + \beta}{2}\).
Subtracting the second from the first gives \(2c_2 = \alpha - \beta\), so \(c_2 = \frac{\alpha - \beta}{2}\).
The particular solution is:
\[ x(t) = \frac{\alpha+\beta}{2}e^t + \frac{\alpha-\beta}{2}e^{-t} \]
\[ y(t) = \frac{\alpha+\beta}{2}e^t - \frac{\alpha-\beta}{2}e^{-t} \]
We want to find the condition for which \(|x(t)| + |y(t)| \to 0\) as \(t \to \infty\).
As \(t \to \infty\), \(e^{-t} \to 0\), but \(e^t \to \infty\). For the solution to go to zero, the terms involving \(e^t\) must be eliminated. This requires their coefficient to be zero:
\[ \frac{\alpha + \beta}{2} = 0 \implies \alpha + \beta = 0 \]
If this condition holds, then \(x(t) = \frac{\alpha-\beta}{2}e^{-t}\) and \(y(t) = -\frac{\alpha-\beta}{2}e^{-t}\). Both terms go to 0 as \(t \to \infty\), and so does their sum of absolute values.
Now we check the options based on the condition \(\alpha + \beta = 0\):
(A) \(\alpha = 1, \beta = -1\): \(\alpha + \beta = 1 + (-1) = 0\). The condition is satisfied. So, \(|x(t)| + |y(t)| \to 0\). (A) is TRUE.
(B) \(\alpha = 1, \beta = 1\): \(\alpha + \beta = 1 + 1 = 2 \neq 0\). The limit goes to \(\infty\). (B) is FALSE.
(C) \(\alpha = 1.01, \beta = -1\): \(\alpha + \beta = 1.01 - 1 = 0.01 \neq 0\). The limit goes to \(\infty\). (C) is FALSE.
(D) \(\alpha = 1, \beta = 1.01\): \(\alpha + \beta = 1 + 1.01 = 2.01 \neq 0\). The limit goes to \(\infty\). (D) is FALSE.
Step 4: Final Answer:
The only correct statement is (A).