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 using the iterative scheme:
We are given the iterative scheme:
With the initial guess , we want to calculate .
-
Calculate :
-
Calculate : Using ,
Thus, .
(b) Minimum initial guess :
We need to find the minimum value of such that the fixed-point iteration converges.
The function will converge if the initial guess is greater than or equal to a certain value. We set the inequality to ensure that , because when :
At , the function becomes imaginary, so the iteration will break down for values less than . Therefore, for real solutions, the iteration will work for .
Thus, the minimum value of is:
Summary:
Would you like more details, or do you have any other questions?
Here are five related questions:
- What happens to the iteration process for values of less than -2?
- How does the convergence behavior change for initial guesses much larger than -2?
- Can we use other iterative methods for the same equation?
- What is the general criterion for the convergence of fixed-point iterations?
- How would the solution change if the function were different?
Tip: Fixed-point iteration converges faster when the derivative of 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
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