Today, we had a set of problems as usual, and a quiz! (And I didn't tell you about the quiz, even though others did, so I'm going to pretend that it was a pop quiz)!. Below, you'll find the three problems, their solutions, and a worked-out quiz.
We had three questions in recitation.
- A function
is continuous on and differentiable on . We happen to know that .- What can you conclude about the function from the Mean Value Theorem?
- Use the Mean Value Theorem to show that
.
- Consider the following function
.- Without using derivatives, determine where
is increasing or decreasing. - Check by taking derivatives.
- Identify the local maxes and mins of the function
.
- Without using derivatives, determine where
- Consider the function
.- Show that
are the critical points of . - What are the local minima and maxima of
? - Compute
for each of the critical points of . - Do you notice a pattern between the second derivatives at the minima and maxima?
- Show that
I'll consider the quiz after these problems.
Question 1
This question is designed around the mean-value theorem. The mean-value theorem
states that if you have a function
So in this problem, from the mean value theorem, we know that
Question 2
Without using derivatives!
We'll consider each function-piece in turn. First, we have
Next, we have
Finally, we have a line. Thank goodness, a line! This line has negative slope, so it's decreasing always.
Let's check using derivatives. The derivative of
When we are trying to identify the local maxima and minima, it's tempting to
just try to use (what you're about to learn:) the first derivative test:
finding the derivatives and setting equal to zero. But that won't work here.
Notice that all the derivative we found are zero only at
As an aside:
This is really the intuition behind the first derivative test, too. The idea of the first derivative test is that maxes and mins will occur when the derivative is zero or on the boundary, so long as our function is differentiable. Why is this the case? If our function is differentiable, then the slope of the function changes from positive to negative (i.e. the function changes from increasing to decreasing) when the derivative is zero. But here, our function isn't differentiable everywhere, so we need to be a bit wittier.
Question 3
So we are now looking at
The second derivative is
The converse, however, is true. If the second derivative is negative at a critical point, then that point is a local maximum. If it's positive at a critical point, then that point is a local minimum.
Why is this true? The second derivative
is the first derivative of the first derivative. This means that when the second derivative is positive, the first derivative is increasing. And when it's negative, the first derivative is decreasing. So at a critical point, i.e. when the first derivative is zero, if the second derivative is positive, this means that the first derivative is increasing. Since the first derivative is zero and increasing, this means that it was just negative and is about to be positive. But this means that the original function was decreasing and then increasing, i.e. that there is a local min. So when the second derivative is positive at a critical point, we get a local min. This type of reasoning works for when the second derivative is negative at a critical point too. I encourage you to try it!
I'll post up the quiz and its solutions shortly, but in a separate post. This one is very long as is, I think. I'd like to finish by reminding you all that I will not be in MRC next week. In addition, something was left in the classroom. If you're missing something and you think you left it, I am holding on to it - so let me know. (I'll give it to some lost and found office if I don't hear anything).
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Comments (1)
2012-11-01 confused
Hey David,
I have a question about #23. It says to graph for
The answer in the back of the book shows an absolute max at .
I am confused because I found
Therefore, to find the , I did . And at .
So...why is the absolute max at ?
Comment 2: On 2012-11-02 davidlowryduda
This is a very good question. You are right that , so
from the first derivative test we know that there is a critical point at .
But the key difference is that we are on a particular interval: , The first derivative test finds extrema on the inside of the
interval, but the boundary must be checked separately.
So we check and too. This means we have three
candidates for global extrema: . At , the
function takes the value . At , the function takes the value
. At , the function takes the value .
From this, we find that the absolute max is at and the
absolute minimum is at , for in the interval .
This is a good thing to point out: In general, to maximize a function on a domain, we try the first derivative test, and check against the boundaries of the domain.
And before you doubt the utility of the first derivative test, let's see what happens if we expand the interval to, say, . From , we know that the 'suspected' critical points are at , that is when . Now is not a candidate,
and it's not even a local min or max! It's only because it was at the boundary
that it had the chance to be a min or max.