Math Problem Statement

Apply the Newton’s method with x0 = 0.8 to the equation f(x) = x^3 - x^2 - x + 1 = 0, and verify that the convergence is only of first-order. Further show that root α = 1 has multiplicity 2 and then apply the modified Newton’s method with m = 2 and verify that the convergence is of second-order.

Solution

The problem is asking you to apply Newton's method to the equation f(x)=x3x2x+1=0f(x) = x^3 - x^2 - x + 1 = 0 and verify the convergence order, initially of first order, and then use the modified Newton's method for second-order convergence. Here's how we can approach this:

Step 1: Applying Newton's Method with x0=0.8x_0 = 0.8

Newton's method is defined by the iterative formula:

xn+1=xnf(xn)f(xn)x_{n+1} = x_n - \frac{f(x_n)}{f'(x_n)}

For the function f(x)=x3x2x+1f(x) = x^3 - x^2 - x + 1, the derivative is:

f(x)=3x22x1f'(x) = 3x^2 - 2x - 1

Now, applying the first few iterations of Newton's method with x0=0.8x_0 = 0.8, we will observe the rate of convergence.

Step 2: First-Order Convergence

First-order convergence implies that the error xnα|x_n - \alpha| decreases linearly. We will check if Newton's method converges with first-order to the root α=1\alpha = 1, which is verified by calculating the error after each iteration.

Step 3: Root α=1\alpha = 1 with Multiplicity 2

A root α=1\alpha = 1 has multiplicity 2, meaning the function can be factored as f(x)=(x1)2g(x)f(x) = (x - 1)^2 \cdot g(x). This changes the convergence behavior because the standard Newton’s method converges more slowly (only linearly) for multiple roots. To achieve quadratic convergence, a modified Newton’s method is used.

Step 4: Modified Newton's Method

The modified Newton's method for multiplicity mm is given by:

xn+1=xnmf(xn)f(xn)x_{n+1} = x_n - m \cdot \frac{f(x_n)}{f'(x_n)}

In this case, the multiplicity m=2m = 2. Using this modified method, we expect to see second-order convergence, where the error decreases quadratically.

Step 5: Verifying Second-Order Convergence

Second-order convergence implies that the error xnα|x_n - \alpha| decreases quadratically, meaning xn+1αxnα2|x_{n+1} - \alpha| \propto |x_n - \alpha|^2. After applying the modified Newton’s method, we will check the error behavior to confirm second-order convergence.


Would you like to see detailed steps of the iterations for both methods?

Here are 5 related questions:

  1. How is the derivative of f(x)f(x) used in Newton's method?
  2. What is the significance of the multiplicity of a root in Newton's method?
  3. How do you derive the modified Newton’s method formula for a root with multiplicity?
  4. Can you explain the difference between first-order and second-order convergence?
  5. What are other numerical methods for solving non-linear equations besides Newton's method?

Tip: In Newton’s method, if the convergence is slow, it's often a sign that the root has higher multiplicity.

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Math Problem Analysis

Mathematical Concepts

Numerical Methods
Newton's Method
Convergence Rate
Root Multiplicity

Formulas

Newton's Method: x_{n+1} = x_n - f(x_n)/f'(x_n)
Modified Newton's Method for Multiplicity m: x_{n+1} = x_n - m * f(x_n)/f'(x_n)
First-order Convergence: |x_{n+1} - α| ∝ |x_n - α|
Second-order Convergence: |x_{n+1} - α| ∝ |x_n - α|^2

Theorems

Convergence of Newton's method for simple roots
Behavior of Newton's method for multiple roots

Suitable Grade Level

University Level (Numerical Methods, Calculus)