Math Problem Statement

Consider finding a numerical solution to

f(x)=x3+2x2−4=0.

ising the iterative scheme

xk+1=g(xk)=4xk+2−−−−−−√,k=0,1,…

(a) Using an initial guess x0=1 , calculate x2 to two decimal places.

x2=

1.13

(b) Theory guarantees that the fixed-point iteration converges to a solution for every initial guess x0 greater than what minimum value (accurate to two decimal places)?

x0≥

-2

Solution

Let's solve the given problem step by step.

(a) Calculate x2x_2 using the iterative scheme:

We are given the iterative scheme:

xk+1=g(xk)=4xk+2,k=0,1,x_{k+1} = g(x_k) = \sqrt{4x_k + 2}, \quad k = 0,1,\dots

With the initial guess x0=1x_0 = 1, we want to calculate x2x_2.

  1. Calculate x1x_1: x1=4x0+2=4(1)+2=4+2=6x_1 = \sqrt{4x_0 + 2} = \sqrt{4(1) + 2} = \sqrt{4 + 2} = \sqrt{6} x12.45x_1 \approx 2.45

  2. Calculate x2x_2: Using x12.45x_1 \approx 2.45, x2=4x1+2=4(2.45)+2=9.8+2=11.8x_2 = \sqrt{4x_1 + 2} = \sqrt{4(2.45) + 2} = \sqrt{9.8 + 2} = \sqrt{11.8} x23.43x_2 \approx 3.43

Thus, x23.43x_2 \approx 3.43.

(b) Minimum initial guess x0x_0:

We need to find the minimum value of x0x_0 such that the fixed-point iteration converges.

The function g(x)=4x+2g(x) = \sqrt{4x + 2} will converge if the initial guess is greater than or equal to a certain value. We set the inequality to ensure that x02x_0 \geq -2, because when x=2x = -2:

g(x)=4(2)+2=8+2=6g(x) = \sqrt{4(-2) + 2} = \sqrt{-8 + 2} = \sqrt{-6}

At x=2x = -2, the function becomes imaginary, so the iteration will break down for values less than 2-2. Therefore, for real solutions, the iteration will work for x02x_0 \geq -2.

Thus, the minimum value of x0x_0 is: x02x_0 \geq -2

Summary:

  • x23.43x_2 \approx 3.43
  • x02x_0 \geq -2

Would you like more details, or do you have any other questions?

Here are five related questions:

  1. What happens to the iteration process for values of x0x_0 less than -2?
  2. How does the convergence behavior change for initial guesses much larger than -2?
  3. Can we use other iterative methods for the same equation?
  4. What is the general criterion for the convergence of fixed-point iterations?
  5. How would the solution change if the function f(x)f(x) were different?

Tip: Fixed-point iteration converges faster when the derivative of g(x)g(x) is small near the root.

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Math Problem Analysis

Mathematical Concepts

Fixed-point iteration
Iterative methods
Numerical analysis

Formulas

x_(k+1) = sqrt(4x_k + 2)
f(x) = x^3 + 2x^2 − 4

Theorems

Convergence of fixed-point iterations
Numerical convergence criteria

Suitable Grade Level

Undergraduate