nd appi given equ (Kound yuul answe places.) x1 = -3

Advanced Engineering Mathematics
10th Edition
ISBN:9780470458365
Author:Erwin Kreyszig
Publisher:Erwin Kreyszig
Chapter2: Second-order Linear Odes
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**Newton's Method for Approximating Roots**

**Objective:**  
Use Newton's method with the specified initial approximation \( x_1 \) to find \( x_3 \), the third approximation to the root of the given equation. (Round your answer to four decimal places.)

**Equation:**  
\[
\frac{1}{3}x^3 + \frac{1}{2}x^2 + 7 = 0
\]

**Initial Approximation:**  
\( x_1 = -3 \)

**Explanation:**

Newton's method is an iterative numerical technique used to find approximate solutions to equations, specifically roots. Given an initial estimate of the root \( x_1 \), subsequent estimates \( x_2, x_3, \ldots \) are generated using the following iterative formula:

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

Where:
- \( f(x) \) is the original function.
- \( f'(x) \) is the derivative of the function.

**Procedure:**

1. **Calculate the derivative** of the given function:
   \[
   f'(x) = \frac{d}{dx}\left(\frac{1}{3}x^3 + \frac{1}{2}x^2 + 7\right)
   \]

2. **Evaluate the function and its derivative** at the given \( x_1 \).

3. **Apply Newton's formula** to find \( x_2 \), and repeat to find \( x_3 \).

4. **Round the final result** to four decimal places.

This information and the sequence of calculations will help you understand and apply Newton's methodology to solve for approximate roots of polynomial equations effectively.
Transcribed Image Text:**Newton's Method for Approximating Roots** **Objective:** Use Newton's method with the specified initial approximation \( x_1 \) to find \( x_3 \), the third approximation to the root of the given equation. (Round your answer to four decimal places.) **Equation:** \[ \frac{1}{3}x^3 + \frac{1}{2}x^2 + 7 = 0 \] **Initial Approximation:** \( x_1 = -3 \) **Explanation:** Newton's method is an iterative numerical technique used to find approximate solutions to equations, specifically roots. Given an initial estimate of the root \( x_1 \), subsequent estimates \( x_2, x_3, \ldots \) are generated using the following iterative formula: \[ x_{n+1} = x_n - \frac{f(x_n)}{f'(x_n)} \] Where: - \( f(x) \) is the original function. - \( f'(x) \) is the derivative of the function. **Procedure:** 1. **Calculate the derivative** of the given function: \[ f'(x) = \frac{d}{dx}\left(\frac{1}{3}x^3 + \frac{1}{2}x^2 + 7\right) \] 2. **Evaluate the function and its derivative** at the given \( x_1 \). 3. **Apply Newton's formula** to find \( x_2 \), and repeat to find \( x_3 \). 4. **Round the final result** to four decimal places. This information and the sequence of calculations will help you understand and apply Newton's methodology to solve for approximate roots of polynomial equations effectively.
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