To determine which statement about the sequences \((x_n)\) and \((y_n)\) is true, let's analyze their behavior using the given recursive formulae:
- Initially, we have:
- \(x_1 = 1\)
- \(y_1 = \frac{1}{2}\)
- The recursive definitions are:
- \(x_{n+1} = \frac{x_n + y_n}{2}\)
- \(y_{n+1} = \sqrt{x_n y_n}\)
- Next, we verify if both sequences are bounded and monotonic:
- Clearly, \(x_n \geq y_n\) for all \(n\) as \(x_1 = 1 > \frac{1}{2} = y_1\), and both updates ensure \(x_{n+1} \geq y_{n+1}\).
- The sequence \((x_n)\) is bounded below by \(y_1 = \frac{1}{2}\) and above by \(x_1 = 1\). It is monotonic because: \(x_{n+1} = \frac{x_n + y_n}{2} \leq x_n\) if \(x_n \geq y_n\).
- The sequence \((y_n)\) is increasing and bounded above because: \(y_{n+1} = \sqrt{x_n y_n} \geq y_n\).
- Since \((x_n)\) is decreasing and bounded, it converges by the Monotone Convergence Theorem.
- Since \((y_n)\) is increasing and bounded, it also converges by the Monotone Convergence Theorem.
- For convergence of both:
- Let \(L = \lim_{n \to \infty} x_n = \lim_{n \to \infty} y_n\).
- At convergence:
- \(L = \frac{L + L}{2} = L\)
- \(L = \sqrt{L \cdot L} = L\)
Thus, both sequences \((x_n)\) and \((y_n)\) are convergent and \(\lim_{n \to \infty} x_n = \lim_{n \to \infty} y_n\). Therefore, the correct option is:
Both \((x_n)\) and \((y_n)\) are convergent and \(\lim_{n \to \infty} x_n = \lim_{n \to \infty} y_n\).