Derive the Newton's method for finding 1/N, N > 0. Hence find 1/17 using initial approximation as 0.05.

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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

  1. 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 $x = \frac{1}{N}$.

  1. Finding the Derivative

Next, we need the derivative of $f(x)$:

$$ f'(x) = -\frac{1}{x^2} $$

  1. 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:

$$ x_{n+1} = x_n - \frac{\frac{1}{x_n} - N}{-\frac{1}{x_n^2}} $$

  1. 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:

$$ x_{n+1} = x_n(2 - Nx_n) $$

  1. 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.

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