Step 1: Understanding the Concept:
The problem analyzes the behavior of the Newton-Raphson method under specific conditions for the function \( f(x) \). We are given that \( f(x) \) is decreasing (\( f'(x)<0 \)) and concave down (\( f''(x)<0 \)). The root is \( \zeta \), and the current iterate \( x_k \) is to the right of the root (\( x_k>\zeta \)).
Step 2: Key Formula or Approach:
The Newton-Raphson iteration formula is \( x_{k+1} = x_k - \frac{f(x_k)}{f'(x_k)} \).
The error in the Newton-Raphson method can be analyzed using Taylor's theorem. The error at step \( k+1 \) is given by \( e_{k+1} = x_{k+1} - \zeta \). Taylor's expansion of \( f(\zeta) \) around \( x_k \) is:
\[ f(\zeta) = f(x_k) + f'(x_k)(\zeta - x_k) + \frac{f''(\eta)}{2}(\zeta - x_k)^2 \quad \text{for some } \eta \in (\zeta, x_k) \]
Step 3: Detailed Explanation or Calculation:
Analysis of Statement (C): \( x_{k+1}<x_k \)
We are given \( x_k \in (\zeta, b) \), which means \( x_k>\zeta \).
Since \( f'(x)<0 \), the function \( f \) is strictly decreasing.
Because \( x_k>\zeta \) and \( f \) is decreasing, we have \( f(x_k)<f(\zeta) \).
We know \( f(\zeta) = 0 \), so \( f(x_k)<0 \).
We are also given that \( f'(x_k)<0 \).
Now consider the term \( \frac{f(x_k)}{f'(x_k)} \). The numerator is negative and the denominator is negative, so the fraction is positive.
\[ \frac{f(x_k)}{f'(x_k)}>0 \]
From the Newton-Raphson formula:
\[ x_{k+1} = x_k - \left( \frac{f(x_k)}{f'(x_k)} \right) = x_k - (\text{a positive value}) \]
This directly implies that \( x_{k+1}<x_k \). Therefore, statement (C) is correct.
Analysis of Statement (A): \( x_{k+1}>\zeta \)
We use the Taylor expansion. Since \( f(\zeta) = 0 \):
\[ 0 = f(x_k) + f'(x_k)(\zeta - x_k) + \frac{f''(\eta)}{2}(\zeta - x_k)^2 \]
Rearranging for \( f(x_k) \):
\[ f(x_k) = -f'(x_k)(\zeta - x_k) - \frac{f''(\eta)}{2}(\zeta - x_k)^2 = f'(x_k)(x_k - \zeta) - \frac{f''(\eta)}{2}(x_k - \zeta)^2 \]
Substitute this into the Newton-Raphson formula:
\[ x_{k+1} = x_k - \frac{f'(x_k)(x_k - \zeta) - \frac{f''(\eta)}{2}(x_k - \zeta)^2}{f'(x_k)} \]
\[ x_{k+1} = x_k - (x_k - \zeta) + \frac{f''(\eta)}{2f'(x_k)}(x_k - \zeta)^2 \]
\[ x_{k+1} - \zeta = \frac{f''(\eta)}{2f'(x_k)}(x_k - \zeta)^2 \]
We are given \( f''(x)<0 \) and \( f'(x)<0 \). Thus, for \( \eta \in (\zeta, x_k) \), \( f''(\eta)<0 \) and \( f'(x_k)<0 \).
This makes the fraction \( \frac{f''(\eta)}{f'(x_k)}>0 \).
Also, since \( x_k \neq \zeta \), the term \( (x_k - \zeta)^2 \) is positive.
Therefore, the entire right-hand side is positive:
\[ x_{k+1} - \zeta>0 \implies x_{k+1}>\zeta \]
Therefore, statement (A) is correct. Statement (B) is consequently incorrect.
Analysis of Statement (D):
We found that \( \frac{f''(\eta)}{f'(x_k)}>0 \). However, there is no information given in the problem to conclude that this ratio must be greater than 1. For example, if \( f(x) = -x - x^2/4 \) and \( \zeta=0 \), then \( f'(x)=-1-x/2 \) and \( f''(x)=-1/2 \). If \( x_k=1 \), \( f'(x_k) = -1.5 \). For any \( \eta \in (0,1) \), \( f''(\eta) = -0.5 \). The ratio is \( -0.5 / -1.5 = 1/3 \), which is not greater than 1. So, statement (D) is not always correct.
Step 4: Final Answer:
Based on the analysis, statements (A) and (C) are correct.
Step 5: Why This is Correct:
The conditions \( f'(x)<0 \) and \( f''(x)<0 \) define a function that is decreasing and concave down. For an initial guess \( x_k>\zeta \), the tangent line at \( (x_k, f(x_k)) \) will intersect the x-axis at a point \( x_{k+1} \) that is to the left of \( x_k \) but still to the right of the root \( \zeta \). This geometric interpretation matches the algebraic derivation.