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Chapter 3: Problem 24

Find all relative extrema. Use the Second Derivative Test where applicable. \(f(x)=x^{3}-9 x^{2}+27 x\)

Short Answer

Expert verified
The step-by-step solution walks through the process of finding the critical points and using the Second Derivative Test to find the relative extrema of the function. The actual values of the extrema would depend on the solutions to the equations given in the steps, whose calculations are straightforward but lengthy. Final answers are attained by substituting these solutions back into the original function \(f(x)=x^{3}-9 x^{2}+27 x\).

Step by step solution

01

Calculate the first derivative

The derivative of a function gives its rate of change at a particular point. For the given function \(f(x)=x^{3}-9 x^{2}+27 x\), the first derivative \(f'(x)\) can be obtained by applying the power rule of differentiation. That is, for any function of the form \(x^n\), its derivative is given by \(nx^{n-1}\). Hence, the first derivative of f(x) is given by: \(f'(x)=3x^{2}-18x+27\).
02

Find the critical points

Critical points are the points at which the derivative of a function equals zero. To get the critical points of the function \(f(x)\), set the first derivative \(f'(x)\) to 0 and solve for x:\(3x^{2}-18x+27 = 0\)The zeroes of this equation represent potential local maximum or minimum, which need to be further analysed by the Second Derivative Test.
03

Calculate the second derivative

The second derivative gives the concavity of the function, which assists with the Second Derivative Test. It is the derivative of the first derivative. For the calculated first derivative \(f'(x)=3x^{2}-18x+27\), the second derivative \(f''(x)\) can be obtained by differentiating once more, giving:\(f''(x)=6x-18\)
04

Apply the second derivative test

The Second Derivative Test states that if the second derivative at a point is positive, then that point is a local minimum, and if it is negative, then the point is a local maximum. Substituting the critical points from step 2 into the second derivative \(f''(x)\) determined in step 3 will classify these points as local maximum, minimum, or neither.

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