4.5: Graphing Using Calculus - Putting it Altogether

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    4.5: Graphing Using Calculus - Putting it Altogether
    Section Preview
    Note to the Instructor (click to expand)
    This is the masterclass of graphing using Calculus. The only thing that students have not been able to do up to this point is to truly investigate end behavior (via l'Hôpital's Rule). This allows us to introduce oblique asymptotes in an official context. I have made the mistake in the past of spending time on non-linear oblique asymptotes and can clearly state that, while interesting, it is a bit far afield for what we need. If you desire such instruction in your classroom, I recommend having it as an exploration, but not as an expectation.

    Core Prerequisites (i.e., "Understanding the Lesson"): The following prerequisite topics (which have not already been listed as prerequisites in previous sections of this text) are required to understand the core concepts in this lesson.

    (click to expand)

    Operational Prerequisites (i.e., "Completing the Homework"): The following prerequisite topics (which have not already been listed as prerequisites in previous sections of this text) are needed to complete the homework.

    (click to expand)

    The following is a list of learning objectives for this section.

    Learning Objectives (click to expand)
    • Estimate the end behavior of a function as \(x\) increases or decreases without bound.
    • Prove the equation of the slant asymptote to a function.
    • Recognize an oblique asymptote on the graph of a function.
    • Use the Guidelines to Graphing Using Calculus to analyze a function and its derivatives to draw its graph accurately.

    We have gathered almost everything we need to graph a given function using Calculus accurately. In this section, we finalize the topic by focusing on the end behavior of the graph of a function (specifically, whether or not the function has an oblique asymptote). Once that topic is finished, we present a tactic for graphing a function using Calculus.

    End Behavior

    The behavior of a function as \(x \to \pm \infty\) is called the function's end behavior, and finding the end behavior of a function is the precise reason we introduced ourselves to l'Hôpital's Rule. If \(f\) is a function of \(x\), then as \(x \to \infty\) or \(x \to -\infty\), the function could exhibit one of the following types of behavior:

    1. No End Behavior: A given function may have a restricted domain. For example, the function might be defined on the closed interval \([-1,10]\). The function does not have an end behavior in these cases because it is not defined as \(x \to \pm \infty\).
    2. Horizontal Asymptote(s): If\[\lim_{x \to \pm \infty}{f(x)} = L,\nonumber\]where \(L\) is finite, the function approaches a horizontal asymptote \(y=L\) as \(x \to \infty\) or as \(x \to -\infty\) (or both).
    3. Slant Asymptote(s): If\[\lim_{x \to \pm \infty}{f(x)} = \pm \infty,\nonumber\]then there is a little more work we need to do to determine if the function is mimicking a linear or nonlinear function near the edges of the domain.
    4. Oscillatory Behavior: If\[\lim_{x \to \pm \infty}{f(x)} \text{ DNE and is not }\pm \infty,\nonumber\]then the function does not have any asymptotic end behavior; however, it could be the case that the function is periodic and is following an oscillatory pattern as its end behavior.
    Notes About the End Behavior of a Function
    • Each of the limits mentioned in the list above could have different "asymptote types" at each end of the function. That is, it's possible that \(\displaystyle \lim_{x \to -\infty}{f(x)} = 5\) and \(\displaystyle \lim_{x \to \infty}{(f(x)} = -\infty\) (or a constant not equal to \(5\)). Do not assume that end behavior is symmetric.
    • The list presented above is purposeful in its order.
      • When determining the end behavior of a given function, you immediately throw out the possibility for end behavior if your function has a restricted domain.
      • If the domain is unrestricted, you take limits as \(x \to \pm \infty\).
        • If a limit is finite, then your function has a horizontal asymptote.
        • If the limit is infinite, then you have some extra work determining if there is an underlying linear or nonlinear function the original function is approaching as \(x \to \pm \infty\).
        • If the limit DNE and is not infinite, then your function might have oscillatory behavior and, if true, you will need to find the period of the oscillation.

    Since we have already covered the topic of horizontal asymptotes, the remainder of this subsection is dedicated to the discussion of slant asymptotes.

    Definition: Slant Asymptote

    The line \(y = mx + b\) is called a slant asymptote of the function \(f\) if\[\lim_{x \to \infty}{\left(f(x) - y\right)} = 0\nonumber\]or\[\lim_{x \to -\infty}{\left(f(x) - y\right)} = 0.\nonumber\]

    Example \(\PageIndex{1}\)

    Determine the slant asymptote of \(f(x) = 3x - 1 + e^{-2x}\)

    Solution

    As \(x \to \infty\), \(e^{-2x} \to 0\) leaving us with \(3x - 1\). Thus, our claim is that \(y = 3x - 1\) is a slant asymptote for the function \(f\) as \(x \to \infty\). To prove this statement, we use the definition.\[\begin{array}{rcl} \displaystyle \lim_{x \to \infty} \left[ f(x) - y \right] & = & \displaystyle \lim_{x \to \infty}\left( 3x - 1 + e^{-2x} - (3x - 1) \right) \\[6pt] & = & \displaystyle \lim_{x \to \infty} e^{-2x} \\[6pt] & = & 0 \end{array}\nonumber\]Thus, we have proven that \(y = 3x - 1\) is a slant asymptote of \(f(x) = 3x - 1 + e^{-2x}\) as \(x \to \infty\).

    It is important to mention here that the function in Example \(\PageIndex{1}\) does not have a slant asymptote as \(x \to -\infty\). This is because, as \(x \to -\infty\), there is not a term in \(f(x)\) that "disappears" to leave us with only a linear function.

    Interactive Element: End Behavior Need Not Be Symmetric

    The following Interactive Element might help you visualize how a function can have a slant asymptote at one end but not the other.

    Interact: Drag the point along the curve and watch the colored gap between the curve and the line \(y=3x-1\).

    Observation: Drag to the right and the gap vanishes — \(y=3x-1\) is a slant asymptote as \(x\to\infty\). Drag to the left and the gap grows without bound — there is no slant asymptote as \(x\to-\infty\).

    Guidelines for Drawing the Graph of a Function

    We now have enough analytical tools to draw graphs of various algebraic and transcendental functions. Before showing how to graph specific functions, let's look at a general strategy when graphing any function. Notice in the steps provided that I follow the Mathematical Mantra and step through the graphing process doing mathematics in the order we learned topics (except the domain, which I often do first despite having learned that skill after learning how to find intercepts).

    Tactic: Drawing the Graph of a Function

    Given a function \(f\), use the following steps to sketch its graph by hand:

    1. Domain: Determine the domain of the function.
    2. Intercepts: Locate the \(x\)- and \(y\)-intercepts. Create a table of values to hold all the data you will collect.
    3. Symmetry: Determine if \(f\) is odd, even, or neither. If it's neither odd nor even, determine if it is periodic. This step is incredibly useful because once you know a function is, for example, odd, you can focus your energy on gathering all the information about the function for \(x \ge 0\). After you precisely graph the function for these \(x\)-values, you can use the symmetry of the function to graph the other half.
    4. Vertical Asymptotes: Use Calculus to determine the behavior of the function near any vertical asymptote(s). This step will involve limits of the form\[\lim_{x \to a^+}{f(x)} \text{ and } \lim_{x \to a^-}{f(x)}.\nonumber\]
    5. End Behavior: Use Calculus to determine the end behavior of the function. This step will involve limits of the form\[\lim_{x \to \infty}{f(x)} \text{ and } \lim_{x \to -\infty}{f(x)}.\nonumber\]If either of these limits is a finite number \(L\), then \(y=L\) is a horizontal asymptote. If either of these limits is \(\infty\) or \(-\infty\), determine whether \(f\) has a slant asymptote.
    6. First Derivative Information: Calculate \(f^{\prime}\). Find all critical points and determine the intervals where \(f\) is increasing and where \(f\) is decreasing. Determine whether \(f\) has any local extrema.
    7. Second Derivative Information: Calculate \(f^{\prime\prime}\). Determine the intervals where \(f\) is concave up and where \(f\) is concave down. Use this information to determine whether \(f\) has any inflection points. The second derivative can also be used as an alternate means to determine or verify that \(f\) has a local extremum at a critical point.
    8. Graph like a boss

    Graphing Examples

    Now, let's use this strategy to graph several different functions. We start by graphing a polynomial function.

    Example \(\PageIndex{2}\)

    Sketch a graph of \(R(x) = \frac{x^2}{x^2 + 1}\).

    Solution

    Domain: Since \(R(x)\) is a rational function and its denominator, \(x^2 + 1\), is always greater than or equal to \(1\), the domain is \(\mathbb{R} = (-\infty, \infty)\).

    Intercepts: \((0,0)\) is the only intercept.

    Symmetry: \(R(-x) = \frac{(-x)^2}{(-x)^2 + 1} = \frac{x^2}{x^2 + 1} = R(x)\). Therefore, \(R\) is an even function. As such, we will limit the rest of our investigation to the interval \([0, \infty)\) and reflect our graph across the \(y\)-axis when we are finished.

    Vertical Asymptote(s): Since the domain of \(R\) is all real numbers and \(R\) is continuous, there is not going to be a vertical asymptote.

    End Behavior:\[\begin{array}{rcl} \displaystyle \lim_{x \to \infty}{R(x)} & = & \displaystyle \lim_{x \to \infty}{\dfrac{x^2}{x^2 + 1}} \\[6pt] & = & \displaystyle \lim_{x \to \infty}{\dfrac{1}{1 + \frac{1}{x^2}}} \\[6pt] & = & \dfrac{1}{1 + 0} \\[6pt] & = & 1 \\[6pt] \end{array}\nonumber\]Thus, \(R\) has a horizontal asymptote of \(y = 1\) as \(x \to \infty\).

    First Derivative Information:\[\begin{array}{rcl} R^{\prime}(x) & = & \dfrac{2x(x^2 + 1) - x^2(2x)}{(x^2 + 1)^2} \\[6pt] & = & \dfrac{2x(x^2 + 1 - x^2)}{(x^2 + 1)^2} \\[6pt] & = & \dfrac{2x}{(x^2 + 1)^2} \\[6pt] \end{array}\nonumber\]\(R^{\prime}(x) = 0\), when \(x = 0\). Otherwise, \(R^{\prime}(x)\) always exists. Thus, the only critical point of \(R\) is \((0,0)\).

    For \(x \gt 0\), \(R^{\prime}(x) \gt 0\). Therefore, \(R\) is increasing on the interval \((0,\infty)\). Since \(R\) is an even function, \(R\) will be decreasing for \(x \lt 0\). This means that \((0,0)\) is a local minimum. All of the information can be seen on the number line for \(R^{\prime}\) in Figure \(\PageIndex{1A}\) below.

    Math400_4_5_Ex_1_ypgraph.jpg
    Figure \(\PageIndex{1A}\): The number line sign graph for \(R^{\prime}\).

    Second Derivative Information:\[\begin{array}{rcl} R^{\prime\prime}(x) & = & \dfrac{2(x^2 + 1)^2 - 2x \cdot 2(x^2 + 1) \cdot 2x)}{(x^2 + 1)^4} \\[6pt] & = & \dfrac{(x^2 + 1)\left(2(x^2 + 1) - 8 x^2 \right)}{(x^2 + 1)^4} \\[6pt] & = & \dfrac{-6x^2 + 2}{(x^2 + 1)^3} \\[6pt] & = & \dfrac{-2(3 x^2 - 1)}{(x^2 + 1)^3} \\[6pt] \end{array}\nonumber\]\(R^{\prime\prime}(x) = 0\), when \(x = \pm \frac{1}{\sqrt{3}}\). Otherwise, \(R^{\prime\prime}(x)\) always exists.

    All of the information for \(R^{\prime\prime}\) can be seen on the number line for \(R^{\prime\prime}\) in Figure \(\PageIndex{1B}\) below (again, we only concern ourselves with \(x\)-values greater than \(0\) because \(R\) is even).

    Math400_4_5_Ex_1_yppgraph.jpg
    Figure \(\PageIndex{1B}\): The number line sign graph for \(R^{\prime\prime}\).

    Graph Like a Boss: Before graphing, it's best to collect all the important information into one clean "pile." It's also required that you compute the function values for \(R\) wherever there are local extrema, inflection points, and intercepts.

    \(x\) \(R(x)\) Note(s)
    \(0\) \(0\) \(x\)- and \(y\)-intercept, LMin
    \(\frac{1}{\sqrt{3}} \approx 0.577\) \(\frac{1}{4}\) I.P.

    Symmetry: Even

    Horizontal Asymptote: \(y = 1\) as \(x \to \infty\)

    Math400_4_5_Ex_1_graph.jpg
    Figure \(\PageIndex{2}\)

    Notice in Example \(\PageIndex{2}\) that we approximated the value of \(\frac{1}{\sqrt{3}}\). When graphing by hand, it is sometimes necessary to use technology to get decimal approximations to place our points properly.

    Example \(\PageIndex{3}\)

    Sketch the graph of \(f(x) = x \sqrt{1 - x^2}\).

    Solution

    Domain: We require \(1 - x^2 \ge 0 \implies 1 \ge x^2 \implies x \in [-1,1]\).

    Intercepts: \((0,0)\) and \((\pm 1, 0)\) are the intercepts.

    Symmetry: \(f(-x) = -x \sqrt{1 - (-x)^2} = -x \sqrt{1 - x^2} = -f(x)\). Therefore, \(f\) is an odd function. As such, we will limit the rest of our investigation to the interval \([0, 1]\) and reflect our graph about the origin when we are finished.

    Vertical Asymptote(s): Since the domain of \(f\) is a closed interval and \(f\) is continuous, there is not going to be a vertical asymptote.

    End Behavior: Since the domain of \(f\) does not extend to infinity (in either direction), there is no end behavior to speak of.

    First Derivative Information:\[\begin{array}{rcl} f^{\prime}(x) & = & \sqrt{1 - x^2} + x \cdot \dfrac{- 2 x}{2 \sqrt{1 - x^2}} \\[6pt] & = & \sqrt{1 - x^2} - \dfrac{x^2}{\sqrt{1 - x^2}} \\[6pt] & = & \dfrac{1 - x^2 - x^2}{\sqrt{1 - x^2}} \\[6pt] & = & \dfrac{1 - 2 x^2}{\sqrt{1 - x^2}} \\[6pt] \end{array}\nonumber\]\(f^{\prime}(x) = 0\), when \(x = \pm \frac{1}{\sqrt{2}}\), and \(f^{\prime}(x)\) does not exist at \(x = \pm 1\). Since \(f\) is odd, we will only worry about \(x = \frac{1}{\sqrt{2}}\) and \(x = 1\). The corresponding critical points are \((1,0)\) and \(\left( \frac{1}{\sqrt{2}}, \frac{1}{2} \right)\). We first draw the number line.

    Calculus_4_5_Ex_2_1.jpg
    Figure \(\PageIndex{3}\)

    Testing each interval (and only substituting these values into the numerator of \(f^{\prime}\) because the denominator is always positive), we get \(f^{\prime}\left(\frac{1}{2}\right) \gt 0\) and \(f^{\prime}\left( \frac{3}{4} \right) \lt 0\). Therefore, \(f\) is increasing on \(\left( 0, \frac{1}{\sqrt{2}}\right)\) and decreasing on \(\left( \frac{1}{\sqrt{2}}, 0 \right)\). Hence, \(f\) has a local maximum at the point \(\left( \frac{1}{\sqrt{2}}, \frac{1}{2} \right)\). All of this information can be seen on the number line for \(f^{\prime}\) in Figure \(\PageIndex{4A}\) below.

    Calculus_4_5_Ex_2_2.jpg
    Figure \(\PageIndex{4A}\): The number line sign graph for \(f^{\prime}\).

    Second Derivative Information:\[\begin{array}{rcl} f^{\prime\prime}(x) & = & \dfrac{-4x \sqrt{1 - x^2} - \left(1 - 2x^2 \right) \cdot \dfrac{-x}{\sqrt{1 - x^2}}}{1 - x^2} \\[6pt] & = & \dfrac{-4x \left( 1 - x^2 \right) + x \left(1 - 2x^2 \right)}{\left(1 - x^2\right)^{3/2}} \\[6pt] & = & \dfrac{x \left(2 x^2 - 3 \right)}{\left(1 - x^2\right)^{3/2}} \\[6pt] \end{array}\nonumber\]\(f^{\prime\prime}(x) = 0\), when \(x = \pm \frac{\sqrt{6}}{2}\) and when \(x = 0\). Moreover, \(f^{\prime\prime}\) does not exist when \(x = \pm 1\). Again, since \(f\) is odd, we will only concern ourselves with \(x = 0\), \(x = \frac{\sqrt{6}}{2}\), and \(x = 1\); however, \(\frac{\sqrt{6}}{2} \gt 1\) and, as such, is outside of the domain of \(f\). Hence, we only need to worry about \(x = 0\) and \(x = 1\). Since \(f^{\prime\prime}\left( \frac{1}{2} \right) \lt 0\), \(f\) is concave down on \((0,1)\) (see Figure \(\PageIndex{4B}\)).

    Calculus_4_5_Ex_2_3.jpg
    Figure \(\PageIndex{4B}\): The number line sign graph for \(f^{\prime\prime}\).

    Graph Like a Boss:

    \(x\) \(R(x)\) Note(s)
    \(0\) \(0\) \(x\)- and \(y\)-intercept, I.P.
    \(\frac{1}{\sqrt{2}} \approx 0.707\) \(\frac{1}{2}\) L.Max
    \(1\) \(0\) \(x\)-intercept

    Symmetry: Odd

    Calculus_4_5_Ex_2_4.jpg
    Figure \(\PageIndex{5}\)
    Note: Tricks to Knowing When a Function Does Not Have a Vertical Asymptote

    Both functions in Examples \(\PageIndex{2}\) and \(\PageIndex{3}\) were continuous on their domains. Moreover, the function's domain in Example \(\PageIndex{3}\) was a closed interval. When a function is continuous and has a domain of either \(\mathbb{R}\) or a closed interval, you can guarantee that the function does not have any vertical asymptotes. This is because of the definition of a vertical asymptote from Chapter 2. \(x = a\) is a vertical asymptote of \(f\) if any of the limits (single-sided or total) as \(x \to a\) becomes infinite. For a continuous function, this condition can only occur at the edge of its domain and only if the domain doesn't include that edge.

    Example \(\PageIndex{4}\)

    Sketch the graph of \(f(x)=\frac{x^2}{x-1}\)

    Solution

    Domain: The domain of \(f\) is the set of all real numbers \(x\) except \(x=1\).

    Intercepts: We can see that when \(x=0, \,f(x)=0\), so \((0,0)\) is the only intercept.

    Symmetry: Since \(f(-x) = \frac{(-x)^2}{(-x) - 1} = \frac{x^2}{-x - 1} = - \frac{x^2}{x + 1} \neq \pm f(x)\), \(f\) is neither odd nor even.

    Vertical Asymptote(s): To check for vertical asymptotes, look at where the denominator is zero. Here, the denominator is zero at \(x=1\). Looking at both one-sided limits as \(x \to 1\), we find\[\displaystyle \lim_{x \to 1^+}\dfrac{x^2}{x-1}=\infty\nonumber\]and\[\displaystyle \lim_{x \to 1^-}\dfrac{x^2}{x-1}=-\infty.\nonumber\]Therefore, \(x=1\) is a vertical asymptote, and we have determined the behavior of \(f\) as \(x\) approaches \(1\) from the right and the left.

    End Behavior: Evaluate the limits at infinity. Since the degree of the numerator is one more than the degree of the denominator, \(f\) must have a slant asymptote. To find the slant asymptote, use long division of polynomials to write\[f(x)=\dfrac{x^2}{x-1}=x+1+\dfrac{1}{x-1}.\nonumber\]Since \(\frac{1}{x-1} \to 0\) as \(x \to \pm \infty, f(x)\) approaches the line \(y=x+1\) as \(x \to \pm \infty\). The line \(y=x+1\) is a slant asymptote for \(f\).

    First Derivative Information: Calculate the first derivative:\[f^{\prime}(x)=\dfrac{(x-1)(2x)-x^2(1)}{(x-1)^2}=\dfrac{x^2-2x}{(x-1)^2}.\nonumber\]We have \(f^{\prime}(x)=0\) when \(x^2-2x=x(x-2)=0\). Therefore, \(x=0\) and \(x=2\) are critical points. Since \(f\) is undefined at \(x=1\), we need to divide the interval \((-\infty,\infty)\) into the smaller intervals \((-\infty,0), (0,1), (1,2)\), and \((2,\infty)\), and choose a test point from each interval to evaluate the sign of \(f^{\prime}(x)\) in each of these smaller intervals. Doing so, we get the following sign chart for \(f^{\prime}\).

    Math400_4.5.EX4fpFixed.png
    Figure \(\PageIndex{6}\)

    From this sign chart, we see that \(f\) has a local maximum at \(x=0\) and a local minimum at \(x=2\). The value of \(f\) at the local maximum is \(f(0)=0\) and the value of \(f\) at the local minimum is \(f(2)=4\). Therefore, \((0,0)\) and \((2,4)\) are important points on the graph.

    Second Derivative Information: Calculate the second derivative:\[\begin{array}{rcl} f^{\prime\prime}(x) & = & \dfrac{(x-1)^2(2x-2)-2(x-1)(x^2-2x)}{(x-1)^4} \\[6pt] & = & \dfrac{2(x-1)[(x-1)^2-(x^2-2x)]}{(x-1)^4}\\[6pt] & = & \dfrac{2[x^2-2x+1-x^2+2x]}{(x-1)^3}\\[6pt] & = & \dfrac{2}{(x-1)^3}. \\[6pt] \end{array}\nonumber\]We see that \(f^{\prime\prime}(x)\) is never zero or undefined for \(x\) in the domain of \(f\). Since \(f\) is undefined at \(x=1\), to check concavity we just divide the interval \((-\infty,\infty)\) into the two smaller intervals \((-\infty,1)\) and \((1,\infty)\), and choose a test point from each interval to evaluate the sign of \(f^{\prime\prime}(x)\) in each of these intervals.

    Math400_4.5.EX4fpp.png
    Figure \(\PageIndex{7}\)

    Graph Like a Boss: When graphing this function by hand, it's best first to plot all the key points (\(\left( 0, 0 \right)\) and \(\left( 2, 4 \right)\)) as well as the slant asymptote. Once that is done, you can get a good idea of the scale of things. We arrive at the following graph for \(f\) from the information gathered.

    Math400_4.5.EX4.png
    Figure \(\PageIndex{8}\)
    Interactive Element: The Vanishing Gap

    The following Interactive Element might help you visualize what it means for a line to be a slant asymptote of a curve.

    Interact: Drag the point along the curve. The colored segment measures the vertical gap between the curve and the line \(y=x+1\).

    Observation: As you drag the point far from \(x=1\) in either direction, the gap shrinks toward \(0\) — the curve approaches the line \(y=x+1\). Near \(x=1\), the curve races away along its vertical asymptote.

    Checkpoint \(\PageIndex{4}\)

    Find the oblique asymptote for \(f(x)=\frac{3x^3-2x+1}{2x^2-4}\).

    Answer

    \(y=\frac{3}{2}x\)

    Example \(\PageIndex{5}\)

    Sketch a graph of \(f(x)=(x-1)^{2/3}\)

    Solution

    Domain: Since the cube-root function is defined for all real numbers \(x\) and \((x-1)^{2/3}=(\sqrt[3]{x-1})^2\), the domain of \(f\) is all real numbers.

    Intercepts: To find the \(y\)-intercept, evaluate \(f(0)\). Since \(f(0)=1\), the \(y\)-intercept is \((0,1)\). To find the \(x\)-intercept, solve \((x-1)^{2/3}=0\). The solution of this equation is \(x=1\), so the \(x\)-intercept is \((1,0)\).

    Symmetry: Since\[\begin{array}{rcl} f(-x) & = & (-x - 1)^{2/3} \\[6pt] & = & (x + 1)^{2/3} \\[6pt] & \neq & \pm f(x), \\[6pt] \end{array}\nonumber\]we know that \(f\) is neither odd nor even.

    Vertical Asymptote(s): The function has no vertical asymptotes.

    End Behavior: Since \(\displaystyle \lim_{x \to \pm \infty}(x-1)^{2/3}=\infty\), the function continues to grow without bound as \(x \to \infty\) and \(x \to -\infty\).

    First Derivative Information: To determine where \(f\) is increasing or decreasing, calculate \(f^{\prime}\). We find\[f^{\prime}(x)=\dfrac{2}{3}(x-1)^{-1/3}=\dfrac{2}{3(x-1)^{1/3}}\nonumber\]This function is not zero anywhere, but it is undefined when \(x=1\). Therefore, the only critical point is \(x=1\). Divide the interval \((-\infty,\infty)\) into the smaller intervals \((-\infty,1)\) and \((1,\infty)\), and choose test points in each of these intervals to determine the sign of \(f^{\prime}(x)\) in each of these smaller intervals.

    Math400_4.5.EX5fp.png
    Figure \(\PageIndex{9}\)

    We conclude that \(f\) has a local minimum at \(x=1\). Evaluating \(f\) at \(x=1\), we find that the value of \(f\) at the local minimum is zero. Note that \(f^{\prime}(1)\) is undefined, so to determine the behavior of the function at this critical point, we need to examine \(\displaystyle \lim_{x \to 1} f^{\prime}(x)\). Looking at the one-sided limits, we have\[\displaystyle \lim_{x \to 1^+}\dfrac{2}{3(x-1)^{1/3}}=\infty \text{ and } \displaystyle \lim_{x \to 1^-}\dfrac{2}{3(x-1)^{1/3}} = -\infty.\nonumber\]Therefore, \(f\) has a cusp at \(x=1\).

    Second Derivative Information: To determine concavity, we calculate the second derivative of \(f:\)\[f^{\prime\prime}(x)=-\dfrac{2}{9}(x-1)^{-4/3}=\dfrac{-2}{9(x-1)^{4/3}}.\nonumber\]We find that \(f^{\prime\prime}(x)\) is defined for all \(x\), but is undefined when \(x=1\). Therefore, divide the interval \((-\infty,\infty)\) into the smaller intervals \((-\infty,1)\) and \((1,\infty)\), and choose test points to evaluate the sign of \(f^{\prime\prime}(x)\) in each of these intervals.

    Math400_4.5.EX5fpp.png
    Figure \(\PageIndex{10}\)

    We conclude that \(f\) is concave down everywhere.

    Graph Like a Boss:

    Combining all this information, we arrive at the following graph for \(f\).

    Math400_4.5.EX5.png
    Figure \(\PageIndex{11}\)
    Checkpoint \(\PageIndex{5}\)

    Consider the function \(f(x)=5-x^{2/3}\). Determine the point on the graph where a cusp is located. Determine the end behavior of \(f\).

    Answer

    The function \(f\) has a cusp at \((0,5)\), since \(\displaystyle \lim_{x \to 0^-}f^{\prime}(x)=\infty\) and \(\displaystyle \lim_{x \to 0^+}f^{\prime}(x)=-\infty\). For end behavior, \(\displaystyle \lim_{x \to \pm \infty}f(x)=-\infty\).


    Success in College: Learning From Tests (Part 4)

    Tests and quizzes have two purposes. First, they assess your performance. Your test scores are part of a professor's information to assign you a grade for the course. Tests also allow you to see what you do not know. It is your responsibility to use tests to improve your skills and knowledge.

    Often, a passing score on a test is 70%. However, the missing 30% is still critically important. When preparing for the next test, you must study your mistakes from the last test. Perhaps you will realize that you still do not understand an important concept. This concept will not disappear. Now is the time to get extra help. When it reappears, you will be ready. Perhaps you will realize that you are making many careless mistakes. Now is the time to plan strategies for checking your work on the next test. Perhaps you will realize that you made most of your mistakes on the last few questions of the exam. Now is the time to ponder how to pace yourself as you work on a test.

    Learning from tests takes self-discipline. It is tempting to throw the test away or hide it in a folder. It is your responsibility to review your tests critically. Your ability to do well in the future depends on it.

    1. Describe what you usually do with a returned math test.
    2. Does what you do with a returned math test depend on whether you earned a good or poor grade on the test? Explain.

    Miscellaneous Topics: What Are Your Top Degree Choices?

    I have seen all the statistics regarding the correlation between income and education. In general, the higher your education, the higher your income.

    1. Name three benefits, besides money, that a higher degree can give you.
    2. What are your top three choices for degrees (e.g., English, Mathematics, Psychology)?

    This page titled 4.5: Graphing Using Calculus - Putting it Altogether was last modified on Sun, 29 Dec 2024 21:03:22 GMT and is shared under a CC BY-NC-SA 4.0 license and was authored, remixed, and/or curated by Gilbert Strang & Edwin “Jed” Herman via source content that was edited to the style and standards of the LibreTexts platform.