What are the three extrema?

In summary, the conversation discusses the use of the first and second derivative tests to determine critical points and local extrema of a function F(x) through its derivative f(x). The critical points of F(x) are where f(x) equals 0 or fails to exist. In this case, the critical points are -2, 1, and 3. The second derivative test can be used to determine the concavity of F(x) at these points, with negative values indicating a concave down shape. The conversation also mentions the importance of identifying critical points in order to simplify the analysis process.
  • #1
Qube
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Homework Statement



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Homework Equations



F(x) = ∫f(x).

We can apply the second derivative test.

F''(x) = f'(x)

The Attempt at a Solution



F''(x) is negative at x = -2 since the slope of f(x) is negative at x = -2. f'(x) doesn't exist at the corner at x = 0. f'(x) is negative at x = 3. Therefore there are two local maxes (x = -2 and x = 3) determined through the second derivative test.

We can apply the first derivative test at the point x = 0. F'(x) = f(x). f(x) however fails to change signs across x = 0; it remains negative across x = 0, so x = 0 cannot be an extrema of any kind.
 
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  • #2
So far so good - did you have a question?

Note: it works better to do the 1st derivative test first, to identify the critical points.
What are the critical points of F(x)?
 
  • #3
I guess my question was if I missed anything. And nice catch! Thanks; I should consider critical points. These are where the first derivative of the anti derivative or just f(x) = 0 or fails to exist. These points would therefore be -2, 1, and 3.
 
  • #4
That's it - the critical points of F are where f=0:
These points would therefore be -2, 1, and 3.
... which means you can eliminate options (a) and (d) right away.
(a) because x=2 is not a critical point, and (d) because x=0 is not a critical point.

(e) is just "none of the above" so it is the answer if the others don't fit.
The remaining two options only mention x=-2 and x=3.

The 2nd derivative test can be figured out just by the slope of f(x) at these points - which you can get by inspection. You seem to have figured that out already.

f'(-2)<0 and f'(3)<0 - is that correct?

What does that mean for these critical points? Concave-up or concave-down?
 
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  • #5
Thanks for the insight. I shouldn't have overlooked the central importance of critical points. The slope is indeed negative at x = -2 and x = 3, which means these critical points are local maximums according to the second derivative test. Also it means that at these points the graph of F(x) is concave down since the second derivative is negative.
 
  • #6
Qube said:
Thanks for the insight. I shouldn't have overlooked the central importance of critical points. The slope is indeed negative at x = -2 and x = 3, which means these critical points are local maximums according to the second derivative test. Also it means that at these points the graph of F(x) is concave down since the second derivative is negative.
Well done - now you have enough information to answer the question. You can stop ;)

See how that was less work and the results clearer?
This sort of approach helps you gain confidence in your results.

Consider:
x=0 is no sort of extrema simply because f(x=0)≠0. Same with x=2. ... nuff said.
No need to do any more analysis. Stop there.

For the suggested method (drawing the number lines) you didn't need the entire number line - just the bits that tell you the answers. So the annoying bit about x=1, where the slope of f(x) changes abruptly, is not needed: it's a red herring - the kind of thing put there to waste your time in an exam.

However - for completeness: to sit between two local maxima, x=0 has to be some sort of minima - or an asymptote. If F had an assymptote at x=1, what would f look like there?

By looking at the concavity, you can figure what happens to F at x=0 and x=2 as well.
These are just the transition points in the curvature of F.
 
Last edited:

1. What is an antiderivative?

An antiderivative, also known as an indefinite integral, is the reverse process of differentiation. It is a function that, when differentiated, results in the original function. In other words, it is the "opposite" of differentiation.

2. How do you find the antiderivative of a function?

To find the antiderivative of a function, you can use integration techniques such as the power rule, substitution, or integration by parts. It is also important to remember to include a constant of integration in the final answer.

3. What is the relationship between antiderivatives and extrema?

The extrema, or maximum and minimum points, of a function can be found by taking the derivative of the function and setting it equal to zero. The solutions to this equation are the critical points, which can then be used to determine the extrema. Similarly, the antiderivative of a function can be used to find the original function's extrema.

4. Can a function have more than one antiderivative?

Yes, a function can have multiple antiderivatives. This is because adding any constant to an antiderivative does not change the original function. Therefore, the antiderivative of a function is not unique.

5. How are antiderivatives and definite integrals related?

A definite integral is the process of finding the area under a curve between two specific points. It is also known as a "signed area" because the area above the x-axis is positive, while the area below the x-axis is negative. The value of a definite integral can be found by taking the difference of the antiderivative at the upper and lower limits of integration.

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