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5.9 Connecting a Function, Its First Derivative, and its Second Derivative

6 min readβ€’february 15, 2024

B

Beth

B

Beth

In previous guides, we learned all about making conclusions regarding the behavior of a function based on the behavior of its derivatives such as whether the function is increasing or decreasing at a point, concave up or concave at a point, and more! While we mostly focused on algebraically determining the behavior of functions, we can also determine information graphically! The key features of the graphs of ff, f’f’, and f’’f’’ are all related to one another. πŸ”‘

Let’s dive into how we can do that!

πŸ“ˆ Connecting a Function, Its First Derivative, and Its Second Derivative

Given the graphs of ff, fβ€²f', and fβ€²β€²f'' or some combination of the three, we can determine information about another much as we did so algebraically. The knowledge you learned in our previous Unit 5 subtopic guides can be carried over to this subtopicβ€”instead of using the equations for ff, fβ€²f', and fβ€²β€²f'', you can look at (one of) their graphs and see where the xx-axis is crossed or where the graph is positive or negative, increasing or decreasing, etc, to infer information about the other graphs.

πŸ“‰ Trends and Concavity

Here’s a quick summary of what you’ve learned so far in this unit about trends and concavity:

  • When a function is increasing, the first derivative will be positive (>0>0).
  • When a function is decreasing, the first derivative will be negative (<0<0).
  • When a function is concave up, the second derivative will be positive (>0>0) and the first derivative will increase.
  • When a function is concave down, the second derivative will be negative (<0<0) and the first derivative will decrease.

πŸ‘€ Trends and Concavity Graphically

Let’s apply this information to the following graph of a function, g(x)g(x).

Untitled

Image Courtesy of Zweig Media

Taking a look at this graph, we can describe gβ€²(x)g'(x) between each interval:

  • From (βˆ’βˆž,βˆ’2)(-\infty,-2) and (0.85,2.8)(0.85,2.8), g(x)g(x) is decreasing, so gβ€²(x)g'(x) is negative.
  • From (βˆ’2,0.85)(-2, 0.85) and (2.8,∞)(2.8,\infty), g(x)g(x) is increasing, so gβ€²(x)g'(x) is positive.

What about gβ€²β€²(x)g''(x)? Let’s take a look at the concavity of g(x)g(x):

  • From (βˆ’βˆž,βˆ’0.5)(-\infty,-0.5) and (1.5,∞)(1.5, \infty), g(x)g(x) is concave up. Therefore, gβ€²β€²(x)g''(x) is positive and gβ€²(x)g'(x) is increasing.
  • From (βˆ’0.5,1.5)(-0.5,1.5), g(x)g(x) is concave down. Therefore, gβ€²β€²(x)g''(x) is negative and gβ€²(x)g'(x) is decreasing.

πŸ” Extrema and Points of Inflection

Based on where the graph of theΒ functionΒ changes direction and concavity, we can also interpret maximums, minimums,Β x-intercepts, and points of inflection of the graphs of the first and second derivatives.

  • If f(x)f(x) has a relative minimum (the graph changes from decreasing to increasing), then fβ€²(x)f'(x) will change from negative to positive at that point.
  • If f(x)f(x) has a relative maximum (the graph changes from increasing to decreasing), then fβ€²(x)f'(x) will change from positive to negative at that point.
  • If f(x)f(x) has a point of inflection, changing from concave up to concave down, then fβ€²(x)f'(x) will have a relative maximum and fβ€²β€²(x)f''(x) will change from positive to negative at that point.
  • If f(x)f(x) has a point of inflection, changing from concave down to concave up, then fβ€²(x)f'(x) will have a relative minimum and fβ€²β€²(x)f''(x) will change from negative to positive at that point.

If we boil this down to two key concepts, realize that:

  1. All relative extrema of f(x)f(x) are x-intercepts of fβ€²(x)f'(x).
  2. All points of inflection of f(x)f(x) are relative extrema of fβ€²(x)f'(x).

This may seem like a lot, but once you see it in action, it’ll make more sense! ⬇️

πŸ‘€ Extrema and POIs Graphically 1

Here’s a relatively easy example! The derivative of the differentiable function ff, fβ€²f', is graphed.

Untitled

Image Created with Desmos.

What can we tell about ff at the point x=1.5x=1.5 based on the graph of its derivative fβ€²f'?

By looking at the graph of fβ€²f', we see that fβ€²f' crosses the x-axis at the point of interest x=1.5x=1.5. It is negative before x=1.5x=1.5 and positive after x=1.5x=1.5. This means that ff is decreasing before the point and increasing after it, indicating that the point x=1.5x=1.5 is a relative minimum on the graph of f(x)f(x).

The justification we used above to determine the answer is essentially just applying the First Derivative Test but in graphical form! Here’s a quick look at f(x)f(x) and fβ€²(x)f'(x) so you can really see their relationship:

Untitled

Image Created with Desmos.

πŸ‘€ Extrema and POIs Graphically 2

Now, let’s take another look at the example before, but focus on relative extrema and points of inflection.

Untitled

Image Courtesy of Zweig Media.

You’ll notice the following:

  • At x=βˆ’2x=-2 and x=2.8x=2.8, g(x)g(x) has relative minima. Therefore, gβ€²(x)g'(x) has x-intercepts at these points and will change from negative to positive.
  • At x=0.85x=0.85, g(x)g(x) has a relative maximum. gβ€²(x)g'(x) has another x-intercept, but the opposite is true: fβ€²(x)f'(x) will change from positive to negative.
  • At x=βˆ’0.5x=-0.5, g(x)g(x) has a point of inflection, changing from concave up to concave down. This means gβ€²(x)g'(x) will have a relative maximum and gβ€²β€²(x)g''(x) has an x-intercept changing from positive to negative at x=βˆ’0.5x=-0.5.
  • At x=1.5x=1.5, g(x)g(x) has an inflection point, but it changes from concave down to concave up. Therefore, gβ€²(x)g'(x) has a relative minimum and gβ€²β€²(x)g''(x) has an x-intercept changing from negative to positive at x=1.5x=1.5.

πŸ‘€ Extrema and POIs Graphically 3

Before you move on to taking a look at graphs yourself, take a look at the following graph of h(x)h(x) and think about:

  1. What happens to hβ€²(x)h'(x) at x=βˆ’1.3x=-1.3, denoted by the red dotted line?
  2. What happens to hβ€²(x)h'(x) at x=βˆ’0.667x=-0.667, denoted by the black dotted line?
  3. What happens to hβ€²β€²(x)h''(x) at x=βˆ’0.667x=-0.667?

Untitled

Image Created with Desmos.

At x=βˆ’1.3x=-1.3, h(x)h(x) has a relative maximum. This tells us that hβ€²(x)h'(x) will have an x-intercept at this point and change from positive to negative!

At x=βˆ’0.667x=-0.667, h(x)h(x) changes from being concave down to concave up. This tells us that hβ€²(x)h'(x) will have a relative minimum at this point and hβ€²β€²(x)h''(x) has an x-intercept, changing from negative to positive.

Take a look at h(x)h(x) in blue and hβ€²(x)h'(x) in green! You can see exactly these trends.

Untitled

Image Created with Desmos.

And here’s a graph with hβ€²β€²(x)h''(x) added as well, denoted in purple.

Untitled

Image Created with Desmos.


πŸ“Practice Problems

Now it’s time for you to do some practice on your own! These won’t be as tough, they will more generally test your knowledge of these trends.

❓Practice Problems

Question 1:

The second derivative of the differentiable function ff, fβ€²β€²f'', is graphed.

Untitled

Image Created with Desmos.

Given that fβ€²(1)=0f'(1)=0, what can we tell about ff at the point x=1x=1 based on the graph of its second derivative fβ€²β€²f''?

Question 2:

The second derivative of the differentiable function ff, fβ€²β€²f'', is graphed.

Untitled

Image Created with Desmos.

What can we tell about ff at the point x=βˆ’2.4x=-2.4 based on the graph of its second derivative fβ€²β€²f''?

βœ…Β Answers and Solutions

Question 1:

Answer: ff has a relative minimum at the point x=1x=1.

Solution:

By looking at the graph of fβ€²β€²f'', we see that fβ€²β€²f'' is positive at the point of interest x=1x=1. This means that ff is concave up at the point. Combined with the fact that fβ€²(1)=0f'(1)=0, we can apply the Second Derivative Test to conclude that ff has a minimum at x=1.5x=1.5.

Question 2:

Answer: ff is concave down at the point x=βˆ’2.4x=-2.4.

Solution:

By looking at the graph of fβ€²β€²f'', we infer that fβ€²β€²f'' is negative at the point of interest x=βˆ’2.4x=-2.4. This means that ff is concave down at the point.


⭐ Closing

Woah! You made it to the end of this guide. To practice with some of this material, we recommend getting into Desmos and graphing a function, its first derivative, and its second derivative to see the features of each. Good luck! πŸ€

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πŸ“š

Β >Β 

♾️ 

Β >Β 

✨

5.9 Connecting a Function, Its First Derivative, and its Second Derivative

6 min readβ€’february 15, 2024

B

Beth

B

Beth

In previous guides, we learned all about making conclusions regarding the behavior of a function based on the behavior of its derivatives such as whether the function is increasing or decreasing at a point, concave up or concave at a point, and more! While we mostly focused on algebraically determining the behavior of functions, we can also determine information graphically! The key features of the graphs of ff, f’f’, and f’’f’’ are all related to one another. πŸ”‘

Let’s dive into how we can do that!

πŸ“ˆ Connecting a Function, Its First Derivative, and Its Second Derivative

Given the graphs of ff, fβ€²f', and fβ€²β€²f'' or some combination of the three, we can determine information about another much as we did so algebraically. The knowledge you learned in our previous Unit 5 subtopic guides can be carried over to this subtopicβ€”instead of using the equations for ff, fβ€²f', and fβ€²β€²f'', you can look at (one of) their graphs and see where the xx-axis is crossed or where the graph is positive or negative, increasing or decreasing, etc, to infer information about the other graphs.

πŸ“‰ Trends and Concavity

Here’s a quick summary of what you’ve learned so far in this unit about trends and concavity:

  • When a function is increasing, the first derivative will be positive (>0>0).
  • When a function is decreasing, the first derivative will be negative (<0<0).
  • When a function is concave up, the second derivative will be positive (>0>0) and the first derivative will increase.
  • When a function is concave down, the second derivative will be negative (<0<0) and the first derivative will decrease.

πŸ‘€ Trends and Concavity Graphically

Let’s apply this information to the following graph of a function, g(x)g(x).

Untitled

Image Courtesy of Zweig Media

Taking a look at this graph, we can describe gβ€²(x)g'(x) between each interval:

  • From (βˆ’βˆž,βˆ’2)(-\infty,-2) and (0.85,2.8)(0.85,2.8), g(x)g(x) is decreasing, so gβ€²(x)g'(x) is negative.
  • From (βˆ’2,0.85)(-2, 0.85) and (2.8,∞)(2.8,\infty), g(x)g(x) is increasing, so gβ€²(x)g'(x) is positive.

What about gβ€²β€²(x)g''(x)? Let’s take a look at the concavity of g(x)g(x):

  • From (βˆ’βˆž,βˆ’0.5)(-\infty,-0.5) and (1.5,∞)(1.5, \infty), g(x)g(x) is concave up. Therefore, gβ€²β€²(x)g''(x) is positive and gβ€²(x)g'(x) is increasing.
  • From (βˆ’0.5,1.5)(-0.5,1.5), g(x)g(x) is concave down. Therefore, gβ€²β€²(x)g''(x) is negative and gβ€²(x)g'(x) is decreasing.

πŸ” Extrema and Points of Inflection

Based on where the graph of theΒ functionΒ changes direction and concavity, we can also interpret maximums, minimums,Β x-intercepts, and points of inflection of the graphs of the first and second derivatives.

  • If f(x)f(x) has a relative minimum (the graph changes from decreasing to increasing), then fβ€²(x)f'(x) will change from negative to positive at that point.
  • If f(x)f(x) has a relative maximum (the graph changes from increasing to decreasing), then fβ€²(x)f'(x) will change from positive to negative at that point.
  • If f(x)f(x) has a point of inflection, changing from concave up to concave down, then fβ€²(x)f'(x) will have a relative maximum and fβ€²β€²(x)f''(x) will change from positive to negative at that point.
  • If f(x)f(x) has a point of inflection, changing from concave down to concave up, then fβ€²(x)f'(x) will have a relative minimum and fβ€²β€²(x)f''(x) will change from negative to positive at that point.

If we boil this down to two key concepts, realize that:

  1. All relative extrema of f(x)f(x) are x-intercepts of fβ€²(x)f'(x).
  2. All points of inflection of f(x)f(x) are relative extrema of fβ€²(x)f'(x).

This may seem like a lot, but once you see it in action, it’ll make more sense! ⬇️

πŸ‘€ Extrema and POIs Graphically 1

Here’s a relatively easy example! The derivative of the differentiable function ff, fβ€²f', is graphed.

Untitled

Image Created with Desmos.

What can we tell about ff at the point x=1.5x=1.5 based on the graph of its derivative fβ€²f'?

By looking at the graph of fβ€²f', we see that fβ€²f' crosses the x-axis at the point of interest x=1.5x=1.5. It is negative before x=1.5x=1.5 and positive after x=1.5x=1.5. This means that ff is decreasing before the point and increasing after it, indicating that the point x=1.5x=1.5 is a relative minimum on the graph of f(x)f(x).

The justification we used above to determine the answer is essentially just applying the First Derivative Test but in graphical form! Here’s a quick look at f(x)f(x) and fβ€²(x)f'(x) so you can really see their relationship:

Untitled

Image Created with Desmos.

πŸ‘€ Extrema and POIs Graphically 2

Now, let’s take another look at the example before, but focus on relative extrema and points of inflection.

Untitled

Image Courtesy of Zweig Media.

You’ll notice the following:

  • At x=βˆ’2x=-2 and x=2.8x=2.8, g(x)g(x) has relative minima. Therefore, gβ€²(x)g'(x) has x-intercepts at these points and will change from negative to positive.
  • At x=0.85x=0.85, g(x)g(x) has a relative maximum. gβ€²(x)g'(x) has another x-intercept, but the opposite is true: fβ€²(x)f'(x) will change from positive to negative.
  • At x=βˆ’0.5x=-0.5, g(x)g(x) has a point of inflection, changing from concave up to concave down. This means gβ€²(x)g'(x) will have a relative maximum and gβ€²β€²(x)g''(x) has an x-intercept changing from positive to negative at x=βˆ’0.5x=-0.5.
  • At x=1.5x=1.5, g(x)g(x) has an inflection point, but it changes from concave down to concave up. Therefore, gβ€²(x)g'(x) has a relative minimum and gβ€²β€²(x)g''(x) has an x-intercept changing from negative to positive at x=1.5x=1.5.

πŸ‘€ Extrema and POIs Graphically 3

Before you move on to taking a look at graphs yourself, take a look at the following graph of h(x)h(x) and think about:

  1. What happens to hβ€²(x)h'(x) at x=βˆ’1.3x=-1.3, denoted by the red dotted line?
  2. What happens to hβ€²(x)h'(x) at x=βˆ’0.667x=-0.667, denoted by the black dotted line?
  3. What happens to hβ€²β€²(x)h''(x) at x=βˆ’0.667x=-0.667?

Untitled

Image Created with Desmos.

At x=βˆ’1.3x=-1.3, h(x)h(x) has a relative maximum. This tells us that hβ€²(x)h'(x) will have an x-intercept at this point and change from positive to negative!

At x=βˆ’0.667x=-0.667, h(x)h(x) changes from being concave down to concave up. This tells us that hβ€²(x)h'(x) will have a relative minimum at this point and hβ€²β€²(x)h''(x) has an x-intercept, changing from negative to positive.

Take a look at h(x)h(x) in blue and hβ€²(x)h'(x) in green! You can see exactly these trends.

Untitled

Image Created with Desmos.

And here’s a graph with hβ€²β€²(x)h''(x) added as well, denoted in purple.

Untitled

Image Created with Desmos.


πŸ“Practice Problems

Now it’s time for you to do some practice on your own! These won’t be as tough, they will more generally test your knowledge of these trends.

❓Practice Problems

Question 1:

The second derivative of the differentiable function ff, fβ€²β€²f'', is graphed.

Untitled

Image Created with Desmos.

Given that fβ€²(1)=0f'(1)=0, what can we tell about ff at the point x=1x=1 based on the graph of its second derivative fβ€²β€²f''?

Question 2:

The second derivative of the differentiable function ff, fβ€²β€²f'', is graphed.

Untitled

Image Created with Desmos.

What can we tell about ff at the point x=βˆ’2.4x=-2.4 based on the graph of its second derivative fβ€²β€²f''?

βœ…Β Answers and Solutions

Question 1:

Answer: ff has a relative minimum at the point x=1x=1.

Solution:

By looking at the graph of fβ€²β€²f'', we see that fβ€²β€²f'' is positive at the point of interest x=1x=1. This means that ff is concave up at the point. Combined with the fact that fβ€²(1)=0f'(1)=0, we can apply the Second Derivative Test to conclude that ff has a minimum at x=1.5x=1.5.

Question 2:

Answer: ff is concave down at the point x=βˆ’2.4x=-2.4.

Solution:

By looking at the graph of fβ€²β€²f'', we infer that fβ€²β€²f'' is negative at the point of interest x=βˆ’2.4x=-2.4. This means that ff is concave down at the point.


⭐ Closing

Woah! You made it to the end of this guide. To practice with some of this material, we recommend getting into Desmos and graphing a function, its first derivative, and its second derivative to see the features of each. Good luck! πŸ€