Chapter 3: Problem 16
A function \(f(x)\) is given. (a) Give the domain of \(f\). (b) Find the critical numbers of \(f\). (c) Create a number line to determine the intervals on which \(f\) is increasing and decreasing. (d) Use the First Derivative Test to determine whether each critical point is a relative maximum, minimum, or neither. \(f(x)=x^{3}+3 x^{2}+3\)
Short Answer
Step by step solution
Determine the Domain
Find the Critical Numbers
Determine Intervals of Increase/Decrease
Use the First Derivative Test
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Key Concepts
These are the key concepts you need to understand to accurately answer the question.
First Derivative Test
Now, to apply the First Derivative Test, assess how the sign of the derivative changes around these points. If the derivative goes from positive to negative at a critical point, it suggests a local maximum. Conversely, if it changes from negative to positive, you're looking at a local minimum. In our example, the function showed a positive to negative shift at \(x = -2\), showing that point as a maximum, and a negative to positive shift at \(x = 0\), indicating a minimum.
Increasing and Decreasing Functions
For the function \(f(x) = x^3 + 3x^2 + 3\), we used its derivative \(f'(x) = 3x^2 + 6x\) to understand these trends. By testing the sign of the derivative in the intervals determined by the critical points (\(-\infty, -2\), \(-2, 0\), and \(0, \infty\)), we found:
- In the interval \(x < -2\), where we tested \(x = -3\), the derivative is positive, indicating a rising behavior.
- Between \(-2\) and \(0\), tested with \(x = -1\), the derivative is negative, showing a downward trend.
- For \(x > 0\), with \(x = 1\), the derivative becomes positive again, confirming the function ascends.
Polynomial Functions
The simple operations involved in polynomials, such as addition, subtraction, and multiplication of terms, allow for straightforward differentiation to find critical points and analyze their behavior. Moreover, graphically, polynomials of degree \(n\) can have up to \(n-1\) critical points, which can be pivotal in deciding where the function increases or decreases. Their end behavior is dictated by the leading term, so in the long run, our example's term \(x^3\) means as \(x\) approaches positive or negative infinity, \(f(x)\) will rise or fall infinitely, respectively. This comprehensive understanding of polynomial functions lets us predict and describe the general shape and behavior of a graph with relative ease.