Math Problem Statement

Use the Newton-Raphson method to find an approximate root of the equation x^3 - x - 1 = 0 starting from an initial guess x_0 = 1.5. Perform three iterations and express each step clearly.

Solution

To solve the given equation x3x1=0x^3 - x - 1 = 0 using the Newton-Raphson method starting with x0=1.5x_0 = 1.5, and performing three iterations, here are the steps:

Step-by-Step Process:

1. Newton-Raphson Formula:

The Newton-Raphson iteration formula is: xn+1=xnf(xn)f(xn)x_{n+1} = x_n - \frac{f(x_n)}{f'(x_n)}

2. Define the Function and Its Derivative:

The given function is: f(x)=x3x1f(x) = x^3 - x - 1 Its derivative is: f(x)=3x21f'(x) = 3x^2 - 1

3. Initial Guess:

Starting with x0=1.5x_0 = 1.5.


Iteration 1:

f(x0)=f(1.5)=(1.5)31.51=3.3751.51=0.875f(x_0) = f(1.5) = (1.5)^3 - 1.5 - 1 = 3.375 - 1.5 - 1 = 0.875 f(x0)=f(1.5)=3(1.5)21=3(2.25)1=6.751=5.75f'(x_0) = f'(1.5) = 3(1.5)^2 - 1 = 3(2.25) - 1 = 6.75 - 1 = 5.75 Using the formula: x1=x0f(x0)f(x0)=1.50.8755.75=1.50.15217=1.34783x_1 = x_0 - \frac{f(x_0)}{f'(x_0)} = 1.5 - \frac{0.875}{5.75} = 1.5 - 0.15217 = 1.34783


Iteration 2:

Using x1=1.34783x_1 = 1.34783: f(x1)=f(1.34783)=(1.34783)31.347831=2.44851.347831=0.10067f(x_1) = f(1.34783) = (1.34783)^3 - 1.34783 - 1 = 2.4485 - 1.34783 - 1 = 0.10067 f(x1)=f(1.34783)=3(1.34783)21=3(1.81689)1=5.450671=4.45067f'(x_1) = f'(1.34783) = 3(1.34783)^2 - 1 = 3(1.81689) - 1 = 5.45067 - 1 = 4.45067 Using the formula: x2=x1f(x1)f(x1)=1.347830.100674.45067=1.347830.02262=1.32521x_2 = x_1 - \frac{f(x_1)}{f'(x_1)} = 1.34783 - \frac{0.10067}{4.45067} = 1.34783 - 0.02262 = 1.32521


Iteration 3:

Using x2=1.32521x_2 = 1.32521: f(x2)=f(1.32521)=(1.32521)31.325211=2.328891.325211=0.00368f(x_2) = f(1.32521) = (1.32521)^3 - 1.32521 - 1 = 2.32889 - 1.32521 - 1 = 0.00368 f(x2)=f(1.32521)=3(1.32521)21=3(1.75523)1=5.265691=4.26569f'(x_2) = f'(1.32521) = 3(1.32521)^2 - 1 = 3(1.75523) - 1 = 5.26569 - 1 = 4.26569 Using the formula: x3=x2f(x2)f(x2)=1.325210.003684.26569=1.325210.00086=1.32435x_3 = x_2 - \frac{f(x_2)}{f'(x_2)} = 1.32521 - \frac{0.00368}{4.26569} = 1.32521 - 0.00086 = 1.32435


Final Approximation:

After three iterations, the approximate root is: x31.32435x_3 \approx 1.32435

Would you like a detailed explanation of any specific step? Here are some related questions to explore further:

  1. Why is the Newton-Raphson method efficient for finding roots?
  2. What happens if the initial guess is far from the actual root?
  3. How do you know the solution is accurate enough after three iterations?
  4. Can this method fail under certain conditions? If so, why?
  5. How does the Newton-Raphson method compare to other root-finding methods?

Tip: Always check f(x)f'(x) before starting Newton-Raphson to avoid division by zero or near-zero values.

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Math Problem Analysis

Mathematical Concepts

Calculus
Root-Finding Methods
Newton-Raphson Method

Formulas

Newton-Raphson formula: x_{n+1} = x_n - f(x_n) / f'(x_n)

Theorems

Newton-Raphson Method

Suitable Grade Level

Grades 11-12 or College