Let Ζ(x) = 3x - xΒ³ . Show that the equation Ζ(π) = -4 has a solution in the interval [2,3] and use Newtonβs method to find it.
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Problem 29b
Textbook Question
[Technology Exercise] Roots
Let Ζ(π) = πΒ³ βπβ 1.
b. Solve the equation Ζ(π) = 0 graphically with an error of magnitude at most 10β»βΈ .

1
Start by understanding the function Ζ(π) = πΒ³ - π - 1. This is a cubic function, and we are tasked with finding its roots, i.e., the values of π for which Ζ(π) = 0.
Graph the function Ζ(π) using a graphing tool or software. This will help visualize where the function crosses the x-axis, indicating the roots. Look for points where the curve intersects the x-axis.
Use a numerical method such as the Newton-Raphson method to refine the root estimates obtained from the graph. This method involves iterating using the formula: πβββ = πβ - Ζ(πβ) / Ζ'(πβ), where Ζ'(π) is the derivative of Ζ(π).
Calculate the derivative of the function Ζ(π) = πΒ³ - π - 1, which is Ζ'(π) = 3πΒ² - 1. Use this derivative in the Newton-Raphson formula to iteratively find a more accurate root.
Continue iterating using the Newton-Raphson method until the difference between successive approximations is less than 10β»βΈ, ensuring the error magnitude is within the specified tolerance.

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Key Concepts
Here are the essential concepts you must grasp in order to answer the question correctly.
Roots of a Function
The roots of a function are the values of the variable for which the function equals zero. In this case, we are looking for the values of π that satisfy the equation Ζ(π) = 0. Finding roots is essential in understanding the behavior of functions and their intersections with the x-axis.
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Graphical Method for Finding Roots
The graphical method involves plotting the function on a coordinate system and visually identifying where the curve intersects the x-axis. This method provides an intuitive understanding of the function's behavior and can be used to approximate roots, especially when combined with numerical techniques to achieve a specified error margin.
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Error Tolerance in Numerical Methods
Error tolerance refers to the acceptable range of error when approximating solutions, in this case, a maximum of 10β»βΈ. In numerical methods, achieving a solution within this tolerance ensures that the root found is sufficiently accurate for practical purposes, which is crucial when using graphical or iterative methods to solve equations.
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