Use Newton's method to approximate a root of the equation 3x³ + 6x + 2 = 0 as follows. Let x₁ = -2 be the initial approximation. The second approximation 2 is and the third approximation 3 is (Although these are approximations of the root, enter exact expressions for each approximation.)

Advanced Engineering Mathematics
10th Edition
ISBN:9780470458365
Author:Erwin Kreyszig
Publisher:Erwin Kreyszig
Chapter2: Second-order Linear Odes
Section: Chapter Questions
Problem 1RQ
Question
**Newton's Method for Approximating Roots**

In this example, we will use Newton's method to approximate a root of the equation \(3x^3 + 6x + 2 = 0\).

**Initial Setup:**

- Let \( x_1 = -2 \) be the initial approximation.

**Approximations:**

- The second approximation \( x_2 \) is \(\boxed{\phantom{answer}}\).
- The third approximation \( x_3 \) is \(\boxed{\phantom{answer}}\).

*(Note: Although these are approximations of the root, enter exact expressions for each approximation.)*

**Explanation:**

Newton's method is an iterative process to find successively better approximations to the roots of a real-valued function. The formula used is:

\[ x_{n+1} = x_n - \frac{f(x_n)}{f'(x_n)} \]

Where:
- \( f(x) = 3x^3 + 6x + 2 \)
- \( f'(x) \) is the derivative of \( f(x) \).
Transcribed Image Text:**Newton's Method for Approximating Roots** In this example, we will use Newton's method to approximate a root of the equation \(3x^3 + 6x + 2 = 0\). **Initial Setup:** - Let \( x_1 = -2 \) be the initial approximation. **Approximations:** - The second approximation \( x_2 \) is \(\boxed{\phantom{answer}}\). - The third approximation \( x_3 \) is \(\boxed{\phantom{answer}}\). *(Note: Although these are approximations of the root, enter exact expressions for each approximation.)* **Explanation:** Newton's method is an iterative process to find successively better approximations to the roots of a real-valued function. The formula used is: \[ x_{n+1} = x_n - \frac{f(x_n)}{f'(x_n)} \] Where: - \( f(x) = 3x^3 + 6x + 2 \) - \( f'(x) \) is the derivative of \( f(x) \).
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