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Example
Created on 2024-06-20Asked by Eleanor Flores (Solvelet student)
Use the bisection method to find the root of f(x)=x3x2f(x) = x^3 - x - 2 on the interval [1,2][1, 2] with tolerance ϵ=0.01\epsilon = 0.01.

Solution

To find the root of f(x)=x3x2f(x) = x^3 - x - 2 using the bisection method on the interval [1,2][1, 2] with tolerance ϵ=0.01\epsilon = 0.01: 1. **Check the values at the endpoints:** f(1)=1312=2, f(1) = 1^3 - 1 - 2 = -2, f(2)=2322=4. f(2) = 2^3 - 2 - 2 = 4. Since f(1)f(2)<0f(1) \cdot f(2) < 0, there is a root in [1,2][1, 2]. 2. **Perform the bisection method:** \begin{itemize} \item Calculate the midpoint cc of the interval [a,b][a, b]: c=a+b2. c = \frac{a + b}{2}. \item Evaluate f(c)f(c): f(c)=c3c2. f(c) = c^3 - c - 2. \item Determine the subinterval containing the root: \begin{itemize} \item If f(a)f(c)<0f(a) \cdot f(c) < 0, the root is in [a,c][a, c]. \item If f(b)f(c)<0f(b) \cdot f(c) < 0, the root is in [c,b][c, b]. \end{itemize} \item Update the interval to the new subinterval and repeat until ba2<ϵ\frac{b - a}{2} < \epsilon. \end{itemize} 3. **Iterations:** \begin{align*} & a_0 = 1, \, b_0 = 2 \\ & c_0 = \frac{1 + 2}{2} = 1.5 \\ & f(1.5) = (1.5)^3 - 1.5 - 2 = -0.125 \\ & \text{Since } f(1.5) \cdot f(2) < 0, \, a_1 = 1.5, \, b_1 = 2 \\ & c_1 = \frac{1.5 + 2}{2} = 1.75 \\ & f(1.75) = (1.75)^3 - 1.75 - 2 = 1.609 \\ & \text{Since } f(1.5) \cdot f(1.75) < 0, \, a_2 = 1.5, \, b_2 = 1.75 \\ & c_2 = \frac{1.5 + 1.75}{2} = 1.625 \\ & f(1.625) = (1.625)^3 - 1.625 - 2 = 0.666 \\ & \text{Since } f(1.5) \cdot f(1.625) < 0, \, a_3 = 1.5, \, b_3 = 1.625 \\ & \dots \\ & \text{Continue until } \frac{b_n - a_n}{2} < 0.01. \end{align*} The approximate root is x1.75x \approx 1.75 (up to the specified tolerance). Solved on Solvelet with Basic AI Model
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1. Use the bisection method to find an approximate root of the equation f(x)=x35x2+4x+3 f(x) = x^3 - 5x^2 + 4x + 3 in the interval [1,3] [1, 3] .2. Apply Newton's method to find an approximate root of the equation f(x)=ex3x2+2 f(x) = e^x - 3x^2 + 2 in the vicinity of x=1 x = 1 .,
DefinitionRoot finding methods are numerical methods used to find the roots (solutions) of equations. Some of these ways are bisections, Newton Raphson method and secant method. For example Newton-Raphson method to solve the function f(x)=0 made a single operation of the form xn+1=xn−f′(xn)​f(xn) of improving the approximation of the solution of the given root.
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