Derive the Newton's method for finding 1/N, N > 0. Hence find 1/17 using initial approximation as 0.05.
Understand the Problem
The question asks to derive Newton's method for finding the reciprocal of a number (1/N) provided that N is greater than 0. It also requests to compute the value of 1/17 using an initial approximation of 0.05. This involves understanding the method of iteration in numerical solutions.
Answer
The approximate value of $\frac{1}{17}$ is $0.0588$.
Answer for screen readers
The value of $\frac{1}{17}$ is approximately $0.0588$.
Steps to Solve
- Understanding the Problem and Deriving the Method
Newton's method is an iterative root-finding algorithm. To find the reciprocal of a number $N$, consider the equation:
$$ f(x) = \frac{1}{x} - N = 0 $$
We want to find $x = \frac{1}{N}$.
- Finding the Derivative
Next, we need the derivative of $f(x)$:
$$ f'(x) = -\frac{1}{x^2} $$
- Applying Newton's Method Formula
Newton's method is given by the formula:
$$ x_{n+1} = x_n - \frac{f(x_n)}{f'(x_n)} $$
Substituting $f(x)$ and $f'(x)$ into the formula:
$$ x_{n+1} = x_n - \frac{\frac{1}{x_n} - N}{-\frac{1}{x_n^2}} $$
- Simplifying the Expression
Simplifying the expression gives us:
$$ x_{n+1} = x_n + x_n^2 \left( \frac{1}{x_n} - N \right) $$
This simplifies further to:
$$ x_{n+1} = x_n + (1 - Nx_n) $$
So we have:
$$ x_{n+1} = x_n(2 - Nx_n) $$
- Finding $ \frac{1}{17} $ Using Initial Approximation
Start with an initial approximation $x_0 = 0.05$ and $N = 17$. We now compute:
- First Iteration:
$$ x_1 = 0.05(2 - 17 \times 0.05) = 0.05(2 - 0.85) = 0.05 \times 1.15 = 0.0575 $$
- Second Iteration:
$$ x_2 = 0.0575(2 - 17 \times 0.0575) = 0.0575(2 - 0.9775) = 0.0575 \times 1.0225 \approx 0.0588 $$
- Third Iteration:
$$ x_3 = 0.0588(2 - 17 \times 0.0588) = 0.0588(2 - 0.9996) = 0.0588 \times 1.0004 \approx 0.0588 $$
Continuing this iteration until the result stabilizes.
The value of $\frac{1}{17}$ is approximately $0.0588$.
More Information
Newton's method is a powerful numerical technique for finding roots of real-valued functions. By iterating approximations, we can achieve high accuracy with relatively few computations.
Tips
- Using the wrong function: Ensure that the function defined is $f(x) = \frac{1}{x} - N$ when deriving the method.
- Incorrectly calculating iterations: Always check the calculations for each iteration to avoid errors in approximation.
- Neglecting stopping criteria: It's important to stop iterating once the values stabilize to prevent unnecessary calculations.
AI-generated content may contain errors. Please verify critical information