For more information, please see full course syllabus of AP Calculus AB
For more information, please see full course syllabus of AP Calculus AB
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Example Problems III
Lecture Slides are screen-captured images of important points in the lecture. Students can download and print out these lecture slide images to do practice problems as well as take notes while watching the lecture.
- Intro
- Example I: Intervals, Local Maxes & Mins, Inflection Points, Intervals of Concavity, and Asymptotes
- Example II: Intervals, Local Maxes & Mins, Inflection Points, Intervals of Concavity, and Asymptotes
- Example III: Cubic Equation f(x) = Ax³ + Bx² + Cx + D
- Example IV: Intervals, Local Maxes & Mins, Inflection Points, Intervals of Concavity, and Asymptotes
- Intro 0:00
- Example I: Intervals, Local Maxes & Mins, Inflection Points, Intervals of Concavity, and Asymptotes 0:11
- Example II: Intervals, Local Maxes & Mins, Inflection Points, Intervals of Concavity, and Asymptotes 21:24
- Example III: Cubic Equation f(x) = Ax³ + Bx² + Cx + D 37:56
- Example IV: Intervals, Local Maxes & Mins, Inflection Points, Intervals of Concavity, and Asymptotes 46:19
AP Calculus AB Online Prep Course
Transcription: Example Problems III
Hello, and welcome back to www.educator.com, and welcome back to AP Calculus.0000
Today, we are going to do some more example problems using derivatives to graph functions.0004
Let us jump right on in.0010
Our first examples says, for the function f(x) = x²/ x - 4²,0013
find the intervals of increase and decrease, local maxes and mins, intervals of concavity and inflection points, and asymptotes.0018
Use this information to graph the function.0026
In general problems, we will just say graph the function.0028
In these set of problems, we are laying out specifically what we want.0031
In general, all of these things are things that are going to do anyway.0037
You may do some of them, you may do most of them,0041
but we want to get you into the habit of actually doing a nice systematic procedure.0044
Let us see what we can find.0049
This is a rational function, notice this mentioned asymptote.0051
We may or may not be dealing with asymptotes, whenever we deal with rational functions.0055
Let us start off by doing the first derivative, it is always a great place to start.0059
The first derivative gives us a lot of information.0063
I think I’m going to work in blue today.0065
F’(x), we know this is going to be quotient rule.0068
We are going to have x - 4² × the derivative of the top which is going to be 2x - x² × the derivative of the bottom0072
which is going to be 2 × x – 4¹ × the derivative of what is inside, 1.0085
All of that is going to be / x – 4⁴.0093
I’m going to go ahead and pull out the x – 4.0102
The numerator, I’m going to write it as 2 x × x - 4 - 2x²/ x – 4⁴.0106
I end up getting, this cancels this, turning it into a 3.0122
When I multiply that, I get 2x² - 8x.0128
I get 2x² - 8x - 2x²/ x - 4³.0132
The 2x² cancel leaving me -8x/ x – 4³.0144
This is our first derivative, this is the one we set equal to 0, to find our critical points.0152
We set that equal to 0 and what we end up getting is -8x = 0.0157
Therefore, x is equal to 0.0164
0 is our critical point.0167
Recall that a critical point is not only where the first derivative equal 0,0185
it is also where the function might not be differentiable.0197
We have to watch out for those.0203
This procedure, the first derivative setting equal to 0, it is only going to give us those that are.0205
We still have to look at the function and see if there is some place where the graph is not going to be differentiable.0210
In this particular case, we look at the denominator.0215
The denominator was x – 4.0218
Clearly, we cannot have a denominator equal to 0.0220
Therefore, at the point 4, we are going to see some sort of asymptote.0223
The asymptote, it is not going to be differentiable there.0227
4 is also going to be a critical point.0230
A critical point that this first derivative procedure will not give us.0234
Something we have to elucidate by other means.0238
Let us write that out, recall that the critical point, that a critical point, is also where f’ fails to exist.0241
In other words, does not exist, fails to exist.0254
Here we have a vertical asymptote at x = 4.0261
x = 4 is also a critical point.0278
In other words, it is one of the points to the left of which and to the right of which,0285
we are going to have to check to see what the derivative is equal to, positive or negative.0289
In order to decide whether it is increasing or decreasing to the left or to the right of that.0292
We are dealing with f’ and we have our two critical points, we have 0 and we have 4.0308
We are going to be checking points in this interval, in this interval, in this interval, to check increasing and decreasing behavior of the function.0316
F’(x) we said is equal to -8x/ x – 4³.0327
We are going to take points in these intervals, put them in here to see whether we get something that is positive or negative.0338
Let us try -1, when I put -1 into this, I’m going to get something which is a positive number/ a negative number.0343
This is a negative number which means decreasing.0352
I know that to the left of 0 is actually decreasing.0358
Let us try 1, when I put 1, I’m going to get a negative number/ a negative number.0363
This is also a negative number.0370
Definitely, negative divided by a negative is positive, sorry about that.0375
Positive, we have an increasing.0379
It is going to be increasing between 0 and 4.0382
Let us go ahead and check a point to the right of 4.0387
I’m going to go ahead and try 5.0390
When I do 5, I get a negative number on top and I’m going to get a positive number which is negative.0391
It is going to be decreasing on that interval.0398
We said that 0 was a critical point that we got from the first derivative test.0403
We also have a decreasing to the left and an increasing to right of it.0408
That means that 0 is a local min.0412
All of this gives us.0416
There is a local min at x = 0, we have that information.0419
There is an asymptote, a vertical asymptote at x = 4.0430
Even though we have an increasing and a decreasing, this is not a local max.0443
At 4, the function is not differentiable and we see that we have a rational function.0448
This is clearly a vertical asymptote.0452
Basically what is happening is it is going that way and it is coming back down that way.0454
It is going to the same place and we knew that from pre-calculus because it was the original function had a squared term.0460
Whenever it is an even multiplicity on that, it is going to go to the same place.0468
When it is odd multiplicity, it is going to go to different places, the opposite ends.0474
Let us go ahead and see what f(0) is.0481
F(0) is equal to 0, the local min, the actual point is, the local min occurs at 0,0.0485
We have partial graph.0501
You are welcome to graph it as you go along, even if you do not have all the information.0503
We know that we have a local min at 0,0.0508
We know the graph looks something like this.0510
We also know that the value 4, you know we have a vertical asymptote.0514
We know we are looking at something like this and we know we are working at something like that.0520
That is what this first derivative tells me, really nice.0524
It gives me a lot of information.0528
Not done yet but it is a good place to start.0530
Before we take the second derivative to check points of concavity and inflection points,0536
let us see if there are any horizontal asymptotes here.0542
Before we take f”(x), let us see at that horizontal asymptotes.0545
F(x) that is equal to x²/ x - 4².0573
If I expand the bottom, I get x²/ x² - 8x + 16.0583
We caught an asymptote behavior means what happens when x really big, positive infinity.0593
x gets really small, negative infinity.0599
That is it, that is all that it is saying.0602
In this particular case, we notice from pre-calculus, if we remember, the degrees are the same.0604
When x gets really big, these other terms do not even matter.0610
What you end up with is x²/ x² which is just 1.0615
Let me write this down because I have got a polynomial written down here, we might as well be complete.0624
Recall that asymptotic behavior means what happens to f(x), when x goes to + or – infinity, it is really huge.0630
In this particular case, I’m going to run through the process, that is fine.0662
F(x), we said is equal to x²/ x² - 8x + 16.0667
I’m going to multiply the top and bottom by 1/ x².0676
In other words, I’m going to divide the bottom and the top by the highest degree that occurs.0680
I’m going to end up with 1/1 - 8/x + 16/ x².0685
As I take x to + or –infinity, this goes to 0, this term goes to 0, and what I’m left with is 1.0698
This is my horizontal asymptote.0707
You remember this from previous lessons, when we were talking about limits earlier in the course.0711
Horizontal asymptote at 1, at y = 1, horizontal asymptote.0716
Let us go ahead and draw out real quickly what is it we are looking at here.0728
We know that we have a 1, 2, 3, 4.0733
We have a vertical asymptote at 4.0735
We know at 1 we have a horizontal asymptote.0739
What is probably happening is this, we know that we have that.0745
We know that it comes probably like this.0752
And this one probably goes like that.0755
More than likely that is what is happening.0759
Again, the function is getting close to 1, when x gets big or when x gets big in a negative direction.0760
That is what is happening.0772
Let us go ahead and find f” and see what sort of information that gives us.0777
Let us find f”(x) and determine the points of inflection and the intervals of concavity.0789
We said that f’(x) was equal to -8x/ x – 4³.0812
Therefore, f”(x) is equal to x – 4³ × -8 - 8x × 3 × x - 4² × 1/ x – 4⁶.0821
I’m going to go ahead and factor out an x - 4².0853
I’m going to get -8 × x – 4.0858
When I take all of these out, I’m going to get +24x.0867
All of that is going to be over x – 4⁶.0871
I’m sorry, I know that this is a lengthy procedure.0875
I apologize for actually going through this process.0881
I just figured it might as well be as complete as possible.0884
This knocks out that, turning that into 4.0889
It leaves me with -8x + 32 + 24x/ x – 4⁴,0893
which gives me -8x + 24 is going to be 16x.0908
If my arithmetic is correct, + 32/ x – 4⁴.0914
This is what I’m going to set equal to 0 and this gives me 16x + 32 = 0, 16x = -32.0921
I get x = -2.0934
This is my inflection point.0937
We have already seen the graph of this thing.0955
We have already seen that it looks, this is our horizontal asymptote.0956
This is our vertical asymptote.0963
We know we are dealing with the function that looks like this.0966
Clearly, this point right here at -2 is the inflection point.0973
From the graph, we already know the intervals of concavity.0977
-infinity to -2, it is going to be concave down.0980
From -2 all the way to 4, it is going to be concave up.0984
From 4 onward, it is also going to be concave up.0988
We know these already, but let us go through the process analytically for the second derivative.0992
From the graph, we already know the intervals of concavity.1002
But, let us run through analytically.1024
We went ahead and we found that this point of inflection, one of the points of inflection is -2.1044
We also have to include the 4, it is an asymptote.1050
There is something going on to the left and right of that.1053
Even though, again, it does not show up, we have to include it.1056
It is a point that is not differentiable.1059
Something happens to the left of that point.1061
Something happens to the right of that point.1063
I have to check 3 regions.1065
I’m checking the second derivative.1068
The second derivative is equal to 16x + 32/ x – 4⁴.1072
Let us go ahead and find f”(-3).1084
When I put that in, I’m going to get a negative number/ a positive number.1090
This is negative which means this is concave down, which I already knew.1095
When I do f” of something between -2 and 4, let us say -1, I end up with a positive/ a positive number.1104
This means it is concave up, second derivative.1117
And then, when I checked f” of let us say 5, something over here to the right of 4,1122
I’m going to end up with a positive number/ a positive number.1129
This means concave up.1133
My intervals of concavity, concave down, like I said –infinity to -2.1137
Concave up from -2 to 4 union.1144
I do not just say -2 to infinity because the 4 separates those two.1152
I do have to break it up into regions, -4 to +infinity, that take care of that.1155
Let us go ahead and find, now I have got my graph.1169
I have got 1, 2, 3, 4.1178
I have my vertical asymptote, I have my horizontal asymptote.1182
I know my graph goes something like this.1190
I know it goes like this.1196
Let us find what that point is.1199
We said that the point of inflection, we said that x = -2.1201
When I take f(-2), I end up with 1/9.1207
This point right here is the point -2, 1/9.1214
The actual coordinates of that point.1220
When I put it all together, let graphing function actually take care of this.1223
This is what the function actually looks like.1230
You can see we have a vertical asymptote at 4.1232
We have a horizontal asymptote at 1.1235
We have our point of inflection from concave down to concave up, still concave up.1239
There you go, all of the information.1244
You are using what you already know, in addition to the tools that you are learning from calculus.1252
Notice, the first derivative did not give me a critical value of 4.1258
But I included it because there is a vertical asymptote there.1262
All of the bits of information that I have at my disposal, I want to be able to bring to there to be able to graph the function.1267
That is my goal to be able to graph the function and to find important points of reference for the graph.1274
Let us go ahead and try another one here.1284
For the function f(x) = ln, 2 - ln x, find the intervals of the normal stuff,1286
increase/decrease, maxes and mins, concavity, inflection points, asymptotes, graph the function.1292
Let us do the asymptotes first.1298
In this case, the first thing we are going to look at, first let us look at the domain.1315
We are looking at a logarithm function.1321
A logarithm function is going to have a restricted domain.1323
We want to see what that domain is first, and more than likely some thing is going to be happening at the endpoints of that particular interval.1327
Asymptotic behavior, domain, they are going to be mixed up here.1335
Let us take a look at the domain.1342
Let us look at the domain.1353
We have the function ln of 2 – ln x.1358
This part, the argument of the logarithm function, this has to be greater than 0.1364
Let us set it greater than 0.1377
We have 2 – ln x greater than 0, let us solve for x.1379
I have 2 greater than ln x.1385
I'm going to exponentiate both sides.1389
I get x is less than e².1391
Or if I like to write it this way, x is less than e².1400
The domain is from 0 to e² or 0 to about 7.4.1408
This is not 1, this is a comma, 0 to about 7.4.1418
Now we have our domain.1423
Now that we have the domain, let us ask ourselves what happens as x goes to 0 and as x gets close to 7.4.1425
We ask ourselves, now we work out the asymptotic behavior.1437
We ask ourselves, one, what happens to f(x) as x approaches 0 from the left.1445
Because there is nothing less than 0, we are approaching 0 from the right, from the positive side.1462
Two, what happens to f(x), as x approaches e² from the left.1470
Number 1, as x gets close to 0 from the right, the ln(x), it is going to go to –infinity.1492
Negative of the ln(x) is going to go to +infinity.1509
2 – ln(x) is going to go to +infinity so that makes 0 a vertical asymptote.1516
Remember, my function here, my f(x) is equal to, 2 – ln(x).1546
Ln(2) – ln(x) goes to +infinity.1564
This is ln(2) – ln(x).1571
I'm asking myself, what happens to the function as x gets close to 0.1574
As x gets close to 0, the ln(x) part, that goes to –infinity.1577
The –ln(x) is +infinity.1583
2 – ln x goes to +infinity.1585
As this goes to positive infinity, the ln goes to infinity.1590
The function actually goes towards infinity, as we get close to 0.1593
That makes 0 a vertical asymptote.1597
In other words, from your perspective 0 is here, e² is here.1600
As we get close here, the function is going to fly up vertically towards infinity.1605
I will draw that in just a minute.1611
We are just working out the analytics.1612
As x approaches e², ln(x) is going to approach 2.1614
2 - ln(x) is going to approach 0.1632
Ln of 2 - ln x is going to approach negative infinity.1639
e² is also a vertical asymptote, when the function goes down.1649
From your perspective, 0, e², as I get close to e², my function is going to go down to negative infinity.1658
What I have is this, I will just go ahead and put e² there.1671
That is a vertical asymptote.1679
I know that as I get close to 0, my function is going to fly up.1681
As I get close to this, my function is going to fly down.1687
It is going to cross somewhere there, we will deal with that later.1694
At least I have my end behavior of my graph.1697
Nothing happens over here, nothing happens over here, nothing happens over here.1700
Because again, this is our domain in the center.1706
Let us see what is next.1712
It crosses the x axis when f(x) is equal to 0, the root.1716
F(x) is ln of 2 – ln x is equal to 0.1733
I’m going to exponentiate both sides.1739
When I do that, I'm left with 2 – ln x e⁰ is equal to 1.1742
I’m going to move the ln x over to this side, bring the 1 over this side.1751
I end up with ln x is equal to 1.1753
I’m going to exponentiate both sides, I get x is equal to e.1758
It crosses the axis at x = e.1764
The graph crosses at x is equal to e.1773
Our graph is starting to come together nicely here.1784
This is x = e² which is 7.4.1792
E is somewhere around there.1801
I know the graph looks something like, this is e, 2.718.1804
The graph is going to look something like this.1813
Let us go ahead and see what we can do.1817
Clearly, there is no local max or min here.1822
We already know what the graph looks like, just from this basic analysis which did not involve any derivatives.1824
We already know that there is no local max, local min.1830
But there is a concavity and there is a point of inflection.1835
We can go ahead and find that.1839
Clearly, there is no, I should say local max, min.1842
Let us confirm this analytically.1862
Let us confirm this analytically.1865
It is exhausting writing all this out.1882
We have f(x) is equal to ln(2) - ln(x).1885
Our f’(x) is going to equal 1/ the argument which is 2 – ln x × the derivative of what is inside.1893
The derivative is going to be -1/ x.1904
That gives us -1/ x × 2 - ln(x).1912
We set that first derivative = 0.1925
This means -1 is equal to 0 because the only way this is equal to 0, is if the numerator is 0.1929
We get -1 is equal to 0, there is no solution.1936
This confirms the fact that there is no critical point.1939
There is no possibility of a maximum or a minimum, local max or min, high point or low point.1942
No solution, no local max or min.1950
We have f’(x), we said it is equal to -1/ x × 2 - ln(x).1961
Let us go ahead and find the second derivative.1971
F”(x) equals this × the derivative of that is 0 - that × the derivative of what is down below, which is going to be,1976
This is going to be product rule.2007
It is going to be this × the derivative of this, which is going to be -1/ x × the derivative of that2009
+ 2 - ln x × the derivative of that which is 1.2028
It is going to be all of that /2x – x ln x².2038
I’m going to let you work out.2050
I write this on this paper, as opposed to here, what we end up with is 2 - 1 - ln x/ 2x – x ln x².2053
We end up with f”(x) is equal to 1 - ln x/ 2x – x ln x².2074
We set that equal to 0.2088
We have 1 - ln x is equal to 0, we have 1 = ln x.2090
We exponentiate both side, we get x is equal to e.2101
Therefore, at x = e which happened to be also be the root, there is a point of inflection.2107
Now we have our final graph.2130
Let us go ahead and, 1, 2, 3, 4, 5, 6, 7, 8, 7.4, this is that.2138
1 to 2.718, this is there.2148
Our graph is going to look something like this.2152
We are going to be concave up from 0 to e.2159
We are going to be concave down from e to e².2165
I think that is it, we have everything that we need.2175
Final graph looks something like this.2178
There you go, 0, notice it is steep rise, this is our e.2179
It also happens to be our inflection point, in addition to being our root.2187
Over here 7.4 that is our vertical asymptote, that is a graph.2191
Make sure you examine the graph, examine the function.2208
Take a good look at the function before you just jump right on in and start taking derivatives.2215
Make sure you examine the function before you just jump in and start differentiating.2220
It is very tempting to want to just run through the process, and hopefully that algorithmic process will give you what you need.2238
It is not always true, it was true in simple math but this is reasonably sophisticated math.2247
We have to bring all of all our resources to bear.2253
Examine the function, check the domain, check the asymptotic behavior.2257
If you take the first derivative, is it going to give you all the critical points.2262
We have to places where the function is not differentiable.2265
There is a lot going on and that is the nature of more complex material, more complex functions.2267
Let us take a look at this one, find the cubic equation ax³ + bx² + cx + d,2277
that achieves a local max at -3, 4 and a local min at 4, -2.2283
They are telling me that, basically, I need to find a, I need to find b,2291
I need to find c, and I need to find d, that satisfies these conditions.2297
I already know what f(-3) is, it is 4.2303
I already know what f(4) is, it is -2.2307
I can plug that in here to get two equations.2309
F(-3) = 8 × -3³ + b × -3² + c × - 3 + d.2315
I know that equals 4.2330
When I solve this, I get -27a + 9b, I hope to God that I have done my arithmetic correct.2335
-3c + d, that is equal to 4, this is the first of my four equations.2345
I have 4 variables, I’m going to need 4 equations and 4 unknowns, it is that simple.2352
That is the only tool that we have at our disposal, at this point.2357
We have dealt with linear systems, four equations and four unknowns.2363
This is a linear system now because everything is to the first power.2367
This is our first equation.2371
I have a second equation, I know what f(4) is, it is equal to -2.2374
F(4) which = a × 4³ + b × 4² + c × 4 + d.2378
I know that = -2.2392
When I work this out, I get 64a + 16b + 4c + d = -2.2394
This is my second equation.2405
We also know something else.2410
It tells me that at these points, it achieves a local max and a local min which means the derivative of this, at these points, is equal to 0.2411
Local max/local min, the derivative there at those points is equal to 0.2423
I find the derivative f’(x) is equal to 3ax² + 2bx + c.2428
I know that f’ at -3 which is going to equal 3a × -3² + 2b × -3 + c, I know that it equal 0.2441
F’ at that point = 0 because it is a local max and f’ at this point is a local min.2456
Its derivative is also equal to 0.2462
I get 27 a - 6 b + c = 0, this is the third of my four equations.2465
I do the same thing for f’ at 4, that is going to equal 3a × 4² + 2b × 4 + c, I know that equal 0.2478
Here I get 48a + 8b + c, that is equal to 0.2491
I have my 4 equations and 4 unknowns.2502
This is my 1st, this is my 2nd, this is my 3rd, this is my 4th.2505
I’m going to solve this by putting it in matrix form and I’m going to convert that matrix to something called reduced row-echelon form.2514
Some of you have actually seen reduced row-echelon form.2524
Do you remember back in pre-calculus, when you guys were doing row reduction2526
and solving simultaneous systems, 3 equations, 4 equations, row reduction is what you guys did.2531
Reduced row reduction is taking it a step further and making it so all of the coefficients in that matrix end up just equaling 1 along the diagonal.2538
I will show you in just a minute.2550
I’m not going to run through the process, there is plenty of mathematical software available online.2551
Just do a Google search for reduced row-echelon calculator and a whole number of things will come up.2557
You basically plug these numbers in and it will give you the answers.2563
Here is what it actually looks like.2568
Solve by converting the augmented matrix of equations to reduced row-echelon form.2570
Our equations, we just put the coefficients in.2604
We end up with -27, 9, -3, 1, is equal to 4.2606
We have 64a, 16b, 4c, + d, = -2.2614
27a - 6b + c, 0, 0, there is no d.2622
And of course we have 48 and 8 and 1 and 0 and 0.2632
This matrix, the first column is the a.2637
The 2nd column is the variable b, 3rd column is the variable c, 4th column is the variable d.2641
When I subject this to reduced row-echelon form, a reduced row-echelon form of a matrix is unique.2647
Row-echelon form, Gaussian elimination is not a unique matrix.2657
You get the answer but is not unique.2661
Reduced row-echelon is always unique.2663
There is only one place it always ends up.2665
In this particular case, what you end up with is the following, when you have your computer do it.2667
1, 0, 0, 12/343, 0, 1, 0, 0, -18/343, 0, 0, 1, 0, -432/343, and 0, 0, 0, 1, 562/343.2673
There you go, a is equal to this, b is equal to this, c is equal to this, d is equal to this.2699
That is it, that simple, that is what beautiful about reduced row-echelon form.2707
This is a, this is b, this is c, and this is d.2712
We get f(x) is equal to 12/ 343 x³ - 18/ 343 x² – 432/ 343 x + 562/343.2725
Again, you can use whatever method you want to solve the system.2756
I think reduced row-echelon is just about fastest and best because it just gives you your answer, your final matrix.2758
You just read it off, it is the last column, a, b, c, and d.2763
Let us do one more function here.2771
For the function f(x) = 3x²/3 – x, find the intervals of increase/decrease, local maxes and mins, intervals of concavity, normal stuff.2780
Use it to graph the function.2790
The domain here is all real numbers so we can just start with f’(x).2793
You know what, I will stick with blue, sorry about that.2805
I will just use red if I absolutely need to.2811
We have f’(x) is equal to 2x⁻¹/3 - 1 is equal to 0, which gives us 2/ x¹/3 - 1 is equal to 0,2815
which gives 2/ x¹/3 = 1, which gives us x¹/3 is equal to 2.2836
Therefore, when I cube both sides, I get x is equal to 8.2852
I have 8, that is one of the critical points.2869
That is where the derivative is equal to 0.2873
Let us find other critical points, if they exist.2876
In this particular case, places where f’(x) does not exist.2886
We just have to be careful because when we see this function,2898
we are not dealing with some ordinary polynomial where you have integral powers.2903
This right here, leads me to believe that there might be places where it is not differentiable.2908
Notice that f is defined at 0.2916
Notice that f(x) is defined at 0, the domain is all real numbers including 0.2919
When I put 0 in here, I get f = 0.2929
It is defined at 0, in other words f(0) = 0.2933
But f’(0) which = 2 × 0⁻¹/3 - 1 which = 2/ 0¹/3 – 1, does not exist.2940
2/0 is undefined, so the derivative at 0 does not exist.2967
The value of the function does.2974
The graph passes through 0, hits 0, but it is not differentiable there.2976
F’ at 0 is undefined, in other words, f, the original function is not differentiable there.2985
0 is another critical point, not differentiable at x = 0, even though it is defined there.3004
It is defined but it is not differentiable which means that it is another critical point.3014
When we check our number line, we have to include 0 and 8.3018
Let us go ahead and do that.3023
0 and 8 are critical points.3026
0, 8, I’m going to check here, I’m going to check here, and I’m going to check there.3039
F’(x) is equal to 2/ x¹/3 – 1.3046
When I check a point to the left here, I’m going to go ahead and check -1.3053
When I check -1, I'm going to get 2/-1 -1 which is equal to -3.3058
It is going to be decreasing.3072
It is going to be decreasing there.3073
I’m going to go ahead and check 1.3076
When I check 1, I get 2/1 - 1 is equal to 1.3080
It is increasing here.3084
However, we just said it is actually not differentiable at 0.3089
Even though it is decreasing and increasing, this is not a local min.3092
It is actually it cusp but not differentiable at 0.3096
This is not a local min, what you have is a cusp here.3116
The function is decreasing to the left of 0.3127
It is increasing but it is not differentiable there.3134
The graph actually looks like this, there is a cusp there.3137
That is what the graph looks like there.3142
Let us go ahead and try, we have done these two, we still have try a region and number over there.3149
I’m going to pick a number that is actually convenient to work with.3162
I’m going to pick the number 27.3166
When I try the number 27 because the 3√27 is really easy to take,3167
it is going to give me 2/3 – 1, which is a negative number.3173
Therefore, it is actually decreasing there.3181
Increasing/decreasing, 8 was a normal critical point.3185
It is what we found by setting the derivative, first derivative equal to 0.3189
This is definitely a local max.3193
We have a local max at x = 8.3199
That is a pretty wacky looking 8.3209
We have got 8 there.3213
F(8) is equal to 4, the point 8, 4 is our local max.3216
The function is increasing from 0 to 8.3231
Our function is decreasing from negative infinity to 0 union 8 to +infinitive.3240
Let us go ahead and deal with some other aspects, the second derivative.3253
We said that f’(x) is equal to 2x⁻¹/3 – 1.3257
We want to take the second derivative.3266
F”(x) is equal to -2/3 x ^- 4/3 -1.3268
We are going to set that equal to 0.3281
We are going to get -2/ 3x⁴/3 - 1 is equal to 0.3285
We are going to get -2/3 x⁻⁴/3 = 1.3295
Rearranging, we are going to end up with -2 is equal to 3x⁴/3 - 2/3 = x⁴/3.3304
This is -2/3 = x¹/3⁴.3321
I separated this 4/3 that way, this is even.3329
Even, something when you have an even exponent, you are never going to get a negative number.3335
This is no solution.3339
No solution so there are no points of inflection.3343
Let us see what we have got here.3358
F” at x is equal to -2/ 3x⁴/3 – 1.3362
This is actually less than 0 for all x.3375
The graph is concave down everywhere.3381
F(x) is concave down everywhere.3386
Let us see, where else f(x) actually equal 0.3400
In other words, let us see if it actually hits the x axis, someplace else.3403
We know it hits the x axis at 0, that cusp.3406
Let us see if it actually hits someplace else.3409
Let us see where else f(x) = 0, beside x = 0.3415
F(x) = 3x²/3 - x is equal to 0.3431
I’m going to go ahead and factor out the x²/3.3444
I get x²/3 × 3 – x¹/3, that is equal to 0.3447
I'm going to get x²/3 = 0 that gives me x = 0.3456
I already know that one.3461
I'm going to get 3 - x¹/3 = 0, x¹/3 = 3.3463
Therefore, when I cube both sides, I get x = 27.3471
27 is the other root, it is the other place where it actually hits the x axis.3477
I have all of the information that I need.3483
My graph is concave down everywhere.3489
It hits at 0 and it hits at 27, there is a cusp here and there is a cusp here.3493
At 8, it hits a local max of 4.3503
When it comes back down, passes through 27 again, and goes down that way and goes up that way.3508
That is my graph.3515
Let us see what it looks like.3517
Yes, that is exactly right.3519
Here is my point where f is defined but it is not differentiable.3521
There is a cusp there.3524
Concave down, concave down, there is no concave up.3525
Here is my max at 8, 4, and here is where I’m at 27, 0, it is my other root.3530
There we go, thank you so much for joining us here at www.educator.com.3537
We will see you next time, bye.3540

Raffi Hovasapian
Example Problems III
Slide Duration:Table of Contents
42m 8s
- Intro0:00
- Overview & Slopes of Curves0:21
- Differential and Integral0:22
- Fundamental Theorem of Calculus6:36
- Differentiation or Taking the Derivative14:24
- What Does the Derivative Mean and How do We Find it?15:18
- Example: f'(x)19:24
- Example: f(x) = sin (x)29:16
- General Procedure for Finding the Derivative of f(x)37:33
50m 53s
- Intro0:00
- Slope of the Secant Line along a Curve0:12
- Slope of the Tangent Line to f(x) at a Particlar Point0:13
- Slope of the Secant Line along a Curve2:59
- Instantaneous Slope6:51
- Instantaneous Slope6:52
- Example: Distance, Time, Velocity13:32
- Instantaneous Slope and Average Slope25:42
- Slope & Rate of Change29:55
- Slope & Rate of Change29:56
- Example: Slope = 233:16
- Example: Slope = 4/334:32
- Example: Slope = 4 (m/s)39:12
- Example: Density = Mass / Volume40:33
- Average Slope, Average Rate of Change, Instantaneous Slope, and Instantaneous Rate of Change47:46
59m 12s
- Intro0:00
- Example I: Water Tank0:13
- Part A: Which is the Independent Variable and Which is the Dependent?2:00
- Part B: Average Slope3:18
- Part C: Express These Slopes as Rates-of-Change9:28
- Part D: Instantaneous Slope14:54
- Example II: y = √(x-3)28:26
- Part A: Calculate the Slope of the Secant Line30:39
- Part B: Instantaneous Slope41:26
- Part C: Equation for the Tangent Line43:59
- Example III: Object in the Air49:37
- Part A: Average Velocity50:37
- Part B: Instantaneous Velocity55:30
18m 43s
- Intro0:00
- Desmos Tutorial1:42
- Desmos Tutorial1:43
- Things You Must Learn To Do on Your Particular Calculator2:39
- Things You Must Learn To Do on Your Particular Calculator2:40
- Example I: y=sin x4:54
- Example II: y=x³ and y = d/(dx) (x³)9:22
- Example III: y = x² {-5 <= x <= 0} and y = cos x {0 < x < 6}13:15
51m 53s
- Intro0:00
- The Limit of a Function0:14
- The Limit of a Function0:15
- Graph: Limit of a Function12:24
- Table of Values16:02
- lim x→a f(x) Does not Say What Happens When x = a20:05
- Example I: f(x) = x²24:34
- Example II: f(x) = 727:05
- Example III: f(x) = 4.530:33
- Example IV: f(x) = 1/x34:03
- Example V: f(x) = 1/x²36:43
- The Limit of a Function, Cont.38:16
- Infinity and Negative Infinity38:17
- Does Not Exist42:45
- Summary46:48
24m 43s
- Intro0:00
- Example I: Explain in Words What the Following Symbols Mean0:10
- Example II: Find the Following Limit5:21
- Example III: Use the Graph to Find the Following Limits7:35
- Example IV: Use the Graph to Find the Following Limits11:48
- Example V: Sketch the Graph of a Function that Satisfies the Following Properties15:25
- Example VI: Find the Following Limit18:44
- Example VII: Find the Following Limit20:06
53m 48s
- Intro0:00
- Plug-in Procedure0:09
- Plug-in Procedure0:10
- Limit Laws9:14
- Limit Law 110:05
- Limit Law 210:54
- Limit Law 311:28
- Limit Law 411:54
- Limit Law 512:24
- Limit Law 613:14
- Limit Law 714:38
- Plug-in Procedure, Cont.16:35
- Plug-in Procedure, Cont.16:36
- Example I: Calculating Limits Mathematically20:50
- Example II: Calculating Limits Mathematically27:37
- Example III: Calculating Limits Mathematically31:42
- Example IV: Calculating Limits Mathematically35:36
- Example V: Calculating Limits Mathematically40:58
- Limits Theorem44:45
- Limits Theorem 144:46
- Limits Theorem 2: Squeeze Theorem46:34
- Example VI: Calculating Limits Mathematically49:26
21m 22s
- Intro0:00
- Example I: Evaluate the Following Limit by Showing Each Application of a Limit Law0:16
- Example II: Evaluate the Following Limit1:51
- Example III: Evaluate the Following Limit3:36
- Example IV: Evaluate the Following Limit8:56
- Example V: Evaluate the Following Limit11:19
- Example VI: Calculating Limits Mathematically13:19
- Example VII: Calculating Limits Mathematically14:59
50m 1s
- Intro0:00
- Limit as x Goes to Infinity0:14
- Limit as x Goes to Infinity0:15
- Let's Look at f(x) = 1 / (x-3)1:04
- Summary9:34
- Example I: Calculating Limits as x Goes to Infinity12:16
- Example II: Calculating Limits as x Goes to Infinity21:22
- Example III: Calculating Limits as x Goes to Infinity24:10
- Example IV: Calculating Limits as x Goes to Infinity36:00
36m 31s
- Intro0:00
- Example I: Calculating Limits as x Goes to Infinity0:14
- Example II: Calculating Limits as x Goes to Infinity3:27
- Example III: Calculating Limits as x Goes to Infinity8:11
- Example IV: Calculating Limits as x Goes to Infinity14:20
- Example V: Calculating Limits as x Goes to Infinity20:07
- Example VI: Calculating Limits as x Goes to Infinity23:36
53m
- Intro0:00
- Definition of Continuity0:08
- Definition of Continuity0:09
- Example: Not Continuous3:52
- Example: Continuous4:58
- Example: Not Continuous5:52
- Procedure for Finding Continuity9:45
- Law of Continuity13:44
- Law of Continuity13:45
- Example I: Determining Continuity on a Graph15:55
- Example II: Show Continuity & Determine the Interval Over Which the Function is Continuous17:57
- Example III: Is the Following Function Continuous at the Given Point?22:42
- Theorem for Composite Functions25:28
- Theorem for Composite Functions25:29
- Example IV: Is cos(x³ + ln x) Continuous at x=π/2?27:00
- Example V: What Value of A Will make the Following Function Continuous at Every Point of Its Domain?34:04
- Types of Discontinuity39:18
- Removable Discontinuity39:33
- Jump Discontinuity40:06
- Infinite Discontinuity40:32
- Intermediate Value Theorem40:58
- Intermediate Value Theorem: Hypothesis & Conclusion40:59
- Intermediate Value Theorem: Graphically43:40
- Example VI: Prove That the Following Function Has at Least One Real Root in the Interval [4,6]47:46
40m 2s
- Intro0:00
- Derivative0:09
- Derivative0:10
- Example I: Find the Derivative of f(x)=x³2:20
- Notations for the Derivative7:32
- Notations for the Derivative7:33
- Derivative & Rate of Change11:14
- Recall the Rate of Change11:15
- Instantaneous Rate of Change17:04
- Graphing f(x) and f'(x)19:10
- Example II: Find the Derivative of x⁴ - x²24:00
- Example III: Find the Derivative of f(x)=√x30:51
53m 45s
- Intro0:00
- Example I: Find the Derivative of (2+x)/(3-x)0:18
- Derivatives II9:02
- f(x) is Differentiable if f'(x) Exists9:03
- Recall: For a Limit to Exist, Both Left Hand and Right Hand Limits Must Equal to Each Other17:19
- Geometrically: Differentiability Means the Graph is Smooth18:44
- Example II: Show Analytically that f(x) = |x| is Nor Differentiable at x=020:53
- Example II: For x > 023:53
- Example II: For x < 025:36
- Example II: What is f(0) and What is the lim |x| as x→0?30:46
- Differentiability & Continuity34:22
- Differentiability & Continuity34:23
- How Can a Function Not be Differentiable at a Point?39:38
- How Can a Function Not be Differentiable at a Point?39:39
- Higher Derivatives41:58
- Higher Derivatives41:59
- Derivative Operator45:12
- Example III: Find (dy)/(dx) & (d²y)/(dx²) for y = x³49:29
31m 38s
- Intro0:00
- Example I: Sketch f'(x)0:10
- Example II: Sketch f'(x)2:14
- Example III: Find the Derivative of the Following Function sing the Definition3:49
- Example IV: Determine f, f', and f'' on a Graph12:43
- Example V: Find an Equation for the Tangent Line to the Graph of the Following Function at the Given x-value13:40
- Example VI: Distance vs. Time20:15
- Example VII: Displacement, Velocity, and Acceleration23:56
- Example VIII: Graph the Displacement Function28:20
47m 35s
- Intro0:00
- Differentiation of Polynomials & Exponential Functions0:15
- Derivative of a Function0:16
- Derivative of a Constant2:35
- Power Rule3:08
- If C is a Constant4:19
- Sum Rule5:22
- Exponential Functions6:26
- Example I: Differentiate7:45
- Example II: Differentiate12:38
- Example III: Differentiate15:13
- Example IV: Differentiate16:20
- Example V: Differentiate19:19
- Example VI: Find the Equation of the Tangent Line to a Function at a Given Point12:18
- Example VII: Find the First & Second Derivatives25:59
- Example VIII27:47
- Part A: Find the Velocity & Acceleration Functions as Functions of t27:48
- Part B: Find the Acceleration after 3 Seconds30:12
- Part C: Find the Acceleration when the Velocity is 030:53
- Part D: Graph the Position, Velocity, & Acceleration Graphs32:50
- Example IX: Find a Cubic Function Whose Graph has Horizontal Tangents34:53
- Example X: Find a Point on a Graph42:31
47m 25s
- Intro0:00
- The Product, Power and Quotient Rules0:19
- Differentiate Functions0:20
- Product Rule5:30
- Quotient Rule9:15
- Power Rule10:00
- Example I: Product Rule13:48
- Example II: Quotient Rule16:13
- Example III: Power Rule18:28
- Example IV: Find dy/dx19:57
- Example V: Find dy/dx24:53
- Example VI: Find dy/dx28:38
- Example VII: Find an Equation for the Tangent to the Curve34:54
- Example VIII: Find d²y/dx²38:08
41m 8s
- Intro0:00
- Derivatives of the Trigonometric Functions0:09
- Let's Find the Derivative of f(x) = sin x0:10
- Important Limits to Know4:59
- d/dx (sin x)6:06
- d/dx (cos x)6:38
- d/dx (tan x)6:50
- d/dx (csc x)7:02
- d/dx (sec x)7:15
- d/dx (cot x)7:27
- Example I: Differentiate f(x) = x² - 4 cos x7:56
- Example II: Differentiate f(x) = x⁵ tan x9:04
- Example III: Differentiate f(x) = (cos x) / (3 + sin x)10:56
- Example IV: Differentiate f(x) = e^x / (tan x - sec x)14:06
- Example V: Differentiate f(x) = (csc x - 4) / (cot x)15:37
- Example VI: Find an Equation of the Tangent Line21:48
- Example VII: For What Values of x Does the Graph of the Function x + 3 cos x Have a Horizontal Tangent?25:17
- Example VIII: Ladder Problem28:23
- Example IX: Evaluate33:22
- Example X: Evaluate36:38
24m 56s
- Intro0:00
- The Chain Rule0:13
- Recall the Composite Functions0:14
- Derivatives of Composite Functions1:34
- Example I: Identify f(x) and g(x) and Differentiate6:41
- Example II: Identify f(x) and g(x) and Differentiate9:47
- Example III: Differentiate11:03
- Example IV: Differentiate f(x) = -5 / (x² + 3)³12:15
- Example V: Differentiate f(x) = cos(x² + c²)14:35
- Example VI: Differentiate f(x) = cos⁴x +c²15:41
- Example VII: Differentiate17:03
- Example VIII: Differentiate f(x) = sin(tan x²)19:01
- Example IX: Differentiate f(x) = sin(tan² x)21:02
25m 32s
- Intro0:00
- Example I: Differentiate f(x) = sin(cos(tanx))0:38
- Example II: Find an Equation for the Line Tangent to the Given Curve at the Given Point2:25
- Example III: F(x) = f(g(x)), Find F' (6)4:22
- Example IV: Differentiate & Graph both the Function & the Derivative in the Same Window5:35
- Example V: Differentiate f(x) = ( (x-8)/(x+3) )⁴10:18
- Example VI: Differentiate f(x) = sec²(12x)12:28
- Example VII: Differentiate14:41
- Example VIII: Differentiate19:25
- Example IX: Find an Expression for the Rate of Change of the Volume of the Balloon with Respect to Time21:13
52m 31s
- Intro0:00
- Implicit Differentiation0:09
- Implicit Differentiation0:10
- Example I: Find (dy)/(dx) by both Implicit Differentiation and Solving Explicitly for y12:15
- Example II: Find (dy)/(dx) of x³ + x²y + 7y² = 1419:18
- Example III: Find (dy)/(dx) of x³y² + y³x² = 4x21:43
- Example IV: Find (dy)/(dx) of the Following Equation24:13
- Example V: Find (dy)/(dx) of 6sin x cos y = 129:00
- Example VI: Find (dy)/(dx) of x² cos² y + y sin x = 2sin x cos y31:02
- Example VII: Find (dy)/(dx) of √(xy) = 7 + y²e^x37:36
- Example VIII: Find (dy)/(dx) of 4(x²+y²)² = 35(x²-y²)41:03
- Example IX: Find (d²y)/(dx²) of x² + y² = 2544:05
- Example X: Find (d²y)/(dx²) of sin x + cos y = sin(2x)47:48
47m 34s
- Intro0:00
- Linear Approximations & Differentials0:09
- Linear Approximations & Differentials0:10
- Example I: Linear Approximations & Differentials11:27
- Example II: Linear Approximations & Differentials20:19
- Differentials30:32
- Differentials30:33
- Example III: Linear Approximations & Differentials34:09
- Example IV: Linear Approximations & Differentials35:57
- Example V: Relative Error38:46
45m 33s
- Intro0:00
- Related Rates0:08
- Strategy for Solving Related Rates Problems #10:09
- Strategy for Solving Related Rates Problems #21:46
- Strategy for Solving Related Rates Problems #32:06
- Strategy for Solving Related Rates Problems #42:50
- Strategy for Solving Related Rates Problems #53:38
- Example I: Radius of a Balloon5:15
- Example II: Ladder12:52
- Example III: Water Tank19:08
- Example IV: Distance between Two Cars29:27
- Example V: Line-of-Sight36:20
37m 17s
- Intro0:00
- Example I: Shadow0:14
- Example II: Particle4:45
- Example III: Water Level10:28
- Example IV: Clock20:47
- Example V: Distance between a House and a Plane29:11
40m 44s
- Intro0:00
- Maximum & Minimum Values of a Function, Part 10:23
- Absolute Maximum2:20
- Absolute Minimum2:52
- Local Maximum3:38
- Local Minimum4:26
- Maximum & Minimum Values of a Function, Part 26:11
- Function with Absolute Minimum but No Absolute Max, Local Max, and Local Min7:18
- Function with Local Max & Min but No Absolute Max & Min8:48
- Formal Definitions10:43
- Absolute Maximum11:18
- Absolute Minimum12:57
- Local Maximum14:37
- Local Minimum16:25
- Extreme Value Theorem18:08
- Theorem: f'(c) = 024:40
- Critical Number (Critical Value)26:14
- Procedure for Finding the Critical Values of f(x)28:32
- Example I: Find the Critical Values of f(x) x + sinx29:51
- Example II: What are the Absolute Max & Absolute Minimum of f(x) = x + 4 sinx on [0,2π]35:31
40m 44s
- Intro0:00
- Example I: Identify Absolute and Local Max & Min on the Following Graph0:11
- Example II: Sketch the Graph of a Continuous Function3:11
- Example III: Sketch the Following Graphs4:40
- Example IV: Find the Critical Values of f (x) = 3x⁴ - 7x³ + 4x²6:13
- Example V: Find the Critical Values of f(x) = |2x - 5|8:42
- Example VI: Find the Critical Values11:42
- Example VII: Find the Critical Values f(x) = cos²(2x) on [0,2π]16:57
- Example VIII: Find the Absolute Max & Min f(x) = 2sinx + 2cos x on [0,(π/3)]20:08
- Example IX: Find the Absolute Max & Min f(x) = (ln(2x)) / x on [1,3]24:39
25m 54s
- Intro0:00
- Rolle's Theorem0:08
- Rolle's Theorem: If & Then0:09
- Rolle's Theorem: Geometrically2:06
- There May Be More than 1 c Such That f'( c ) = 03:30
- Example I: Rolle's Theorem4:58
- The Mean Value Theorem9:12
- The Mean Value Theorem: If & Then9:13
- The Mean Value Theorem: Geometrically11:07
- Example II: Mean Value Theorem13:43
- Example III: Mean Value Theorem21:19
25m 54s
- Intro0:00
- Using Derivatives to Graph Functions, Part I0:12
- Increasing/ Decreasing Test0:13
- Example I: Find the Intervals Over Which the Function is Increasing & Decreasing3:26
- Example II: Find the Local Maxima & Minima of the Function19:18
- Example III: Find the Local Maxima & Minima of the Function31:39
44m 58s
- Intro0:00
- Using Derivatives to Graph Functions, Part II0:13
- Concave Up & Concave Down0:14
- What Does This Mean in Terms of the Derivative?6:14
- Point of Inflection8:52
- Example I: Graph the Function13:18
- Example II: Function x⁴ - 5x²19:03
- Intervals of Increase & Decrease19:04
- Local Maxes and Mins25:01
- Intervals of Concavity & X-Values for the Points of Inflection29:18
- Intervals of Concavity & Y-Values for the Points of Inflection34:18
- Graphing the Function40:52
49m 19s
- Intro0:00
- Example I: Intervals, Local Maxes & Mins0:26
- Example II: Intervals, Local Maxes & Mins5:05
- Example III: Intervals, Local Maxes & Mins, and Inflection Points13:40
- Example IV: Intervals, Local Maxes & Mins, Inflection Points, and Intervals of Concavity23:02
- Example V: Intervals, Local Maxes & Mins, Inflection Points, and Intervals of Concavity34:36
59m 1s
- Intro0:00
- Example I: Intervals, Local Maxes & Mins, Inflection Points, Intervals of Concavity, and Asymptotes0:11
- Example II: Intervals, Local Maxes & Mins, Inflection Points, Intervals of Concavity, and Asymptotes21:24
- Example III: Cubic Equation f(x) = Ax³ + Bx² + Cx + D37:56
- Example IV: Intervals, Local Maxes & Mins, Inflection Points, Intervals of Concavity, and Asymptotes46:19
30m 9s
- Intro0:00
- L'Hospital's Rule0:19
- Indeterminate Forms0:20
- L'Hospital's Rule3:38
- Example I: Evaluate the Following Limit Using L'Hospital's Rule8:50
- Example II: Evaluate the Following Limit Using L'Hospital's Rule10:30
- Indeterminate Products11:54
- Indeterminate Products11:55
- Example III: L'Hospital's Rule & Indeterminate Products13:57
- Indeterminate Differences17:00
- Indeterminate Differences17:01
- Example IV: L'Hospital's Rule & Indeterminate Differences18:57
- Indeterminate Powers22:20
- Indeterminate Powers22:21
- Example V: L'Hospital's Rule & Indeterminate Powers25:13
38m 14s
- Intro0:00
- Example I: Evaluate the Following Limit0:17
- Example II: Evaluate the Following Limit2:45
- Example III: Evaluate the Following Limit6:54
- Example IV: Evaluate the Following Limit8:43
- Example V: Evaluate the Following Limit11:01
- Example VI: Evaluate the Following Limit14:48
- Example VII: Evaluate the Following Limit17:49
- Example VIII: Evaluate the Following Limit20:37
- Example IX: Evaluate the Following Limit25:16
- Example X: Evaluate the Following Limit32:44
49m 59s
- Intro0:00
- Example I: Find the Dimensions of the Box that Gives the Greatest Volume1:23
- Fundamentals of Optimization Problems18:08
- Fundamental #118:33
- Fundamental #219:09
- Fundamental #319:19
- Fundamental #420:59
- Fundamental #521:55
- Fundamental #623:44
- Example II: Demonstrate that of All Rectangles with a Given Perimeter, the One with the Largest Area is a Square24:36
- Example III: Find the Points on the Ellipse 9x² + y² = 9 Farthest Away from the Point (1,0)35:13
- Example IV: Find the Dimensions of the Rectangle of Largest Area that can be Inscribed in a Circle of Given Radius R43:10
55m 10s
- Intro0:00
- Example I: Optimization Problem0:13
- Example II: Optimization Problem17:34
- Example III: Optimization Problem35:06
- Example IV: Revenue, Cost, and Profit43:22
30m 22s
- Intro0:00
- Newton's Method0:45
- Newton's Method0:46
- Example I: Find x2 and x313:18
- Example II: Use Newton's Method to Approximate15:48
- Example III: Find the Root of the Following Equation to 6 Decimal Places19:57
- Example IV: Use Newton's Method to Find the Coordinates of the Inflection Point23:11
55m 26s
- Intro0:00
- Antiderivatives0:23
- Definition of an Antiderivative0:24
- Antiderivative Theorem7:58
- Function & Antiderivative12:10
- x^n12:30
- 1/x13:00
- e^x13:08
- cos x13:18
- sin x14:01
- sec² x14:11
- secxtanx14:18
- 1/√(1-x²)14:26
- 1/(1+x²)14:36
- -1/√(1-x²)14:45
- Example I: Find the Most General Antiderivative for the Following Functions15:07
- Function 1: f(x) = x³ -6x² + 11x - 915:42
- Function 2: f(x) = 14√(x) - 27 4√x19:12
- Function 3: (fx) = cos x - 14 sinx20:53
- Function 4: f(x) = (x⁵+2√x )/( x^(4/3) )22:10
- Function 5: f(x) = (3e^x) - 2/(1+x²)25:42
- Example II: Given the Following, Find the Original Function f(x)26:37
- Function 1: f'(x) = 5x³ - 14x + 24, f(2) = 4027:55
- Function 2: f'(x) 3 sinx + sec²x, f(π/6) = 530:34
- Function 3: f''(x) = 8x - cos x, f(1.5) = 12.7, f'(1.5) = 4.232:54
- Function 4: f''(x) = 5/(√x), f(2) 15, f'(2) = 737:54
- Example III: Falling Object41:58
- Problem 1: Find an Equation for the Height of the Ball after t Seconds42:48
- Problem 2: How Long Will It Take for the Ball to Strike the Ground?48:30
- Problem 3: What is the Velocity of the Ball as it Hits the Ground?49:52
- Problem 4: Initial Velocity of 6 m/s, How Long Does It Take to Reach the Ground?50:46
51m 3s
- Intro0:00
- The Area Under a Curve0:13
- Approximate Using Rectangles0:14
- Let's Do This Again, Using 4 Different Rectangles9:40
- Approximate with Rectangles16:10
- Left Endpoint18:08
- Right Endpoint25:34
- Left Endpoint vs. Right Endpoint30:58
- Number of Rectangles34:08
- True Area37:36
- True Area37:37
- Sigma Notation & Limits43:32
- When You Have to Explicitly Solve Something47:56
33m 7s
- Intro0:00
- Example I: Using Left Endpoint & Right Endpoint to Approximate Area Under a Curve0:10
- Example II: Using 5 Rectangles, Approximate the Area Under the Curve11:32
- Example III: Find the True Area by Evaluating the Limit Expression16:07
- Example IV: Find the True Area by Evaluating the Limit Expression24:52
43m 19s
- Intro0:00
- The Definite Integral0:08
- Definition to Find the Area of a Curve0:09
- Definition of the Definite Integral4:08
- Symbol for Definite Integral8:45
- Regions Below the x-axis15:18
- Associating Definite Integral to a Function19:38
- Integrable Function27:20
- Evaluating the Definite Integral29:26
- Evaluating the Definite Integral29:27
- Properties of the Definite Integral35:24
- Properties of the Definite Integral35:25
32m 14s
- Intro0:00
- Example I: Approximate the Following Definite Integral Using Midpoints & Sub-intervals0:11
- Example II: Express the Following Limit as a Definite Integral5:28
- Example III: Evaluate the Following Definite Integral Using the Definition6:28
- Example IV: Evaluate the Following Integral Using the Definition17:06
- Example V: Evaluate the Following Definite Integral by Using Areas25:41
- Example VI: Definite Integral30:36
24m 17s
- Intro0:00
- The Fundamental Theorem of Calculus0:17
- Evaluating an Integral0:18
- Lim as x → ∞12:19
- Taking the Derivative14:06
- Differentiation & Integration are Inverse Processes15:04
- 1st Fundamental Theorem of Calculus20:08
- 1st Fundamental Theorem of Calculus20:09
- 2nd Fundamental Theorem of Calculus22:30
- 2nd Fundamental Theorem of Calculus22:31
25m 21s
- Intro0:00
- Example I: Find the Derivative of the Following Function0:17
- Example II: Find the Derivative of the Following Function1:40
- Example III: Find the Derivative of the Following Function2:32
- Example IV: Find the Derivative of the Following Function5:55
- Example V: Evaluate the Following Integral7:13
- Example VI: Evaluate the Following Integral9:46
- Example VII: Evaluate the Following Integral12:49
- Example VIII: Evaluate the Following Integral13:53
- Example IX: Evaluate the Following Graph15:24
- Local Maxs and Mins for g(x)15:25
- Where Does g(x) Achieve Its Absolute Max on [0,8]20:54
- On What Intervals is g(x) Concave Up/Down?22:20
- Sketch a Graph of g(x)24:34
34m 22s
- Intro0:00
- Example I: Evaluate the Following Indefinite Integral0:10
- Example II: Evaluate the Following Definite Integral0:59
- Example III: Evaluate the Following Integral2:59
- Example IV: Velocity Function7:46
- Part A: Net Displacement7:47
- Part B: Total Distance Travelled13:15
- Example V: Linear Density Function20:56
- Example VI: Acceleration Function25:10
- Part A: Velocity Function at Time t25:11
- Part B: Total Distance Travelled During the Time Interval28:38
27m 20s
- Intro0:00
- Table of Integrals0:35
- Example I: Evaluate the Following Indefinite Integral2:02
- Example II: Evaluate the Following Indefinite Integral7:27
- Example IIII: Evaluate the Following Indefinite Integral10:57
- Example IV: Evaluate the Following Indefinite Integral12:33
- Example V: Evaluate the Following14:28
- Example VI: Evaluate the Following16:00
- Example VII: Evaluate the Following19:01
- Example VIII: Evaluate the Following21:49
- Example IX: Evaluate the Following24:34
34m 56s
- Intro0:00
- Areas Between Two Curves: Function of x0:08
- Graph 1: Area Between f(x) & g(x)0:09
- Graph 2: Area Between f(x) & g(x)4:07
- Is It Possible to Write as a Single Integral?8:20
- Area Between the Curves on [a,b]9:24
- Absolute Value10:32
- Formula for Areas Between Two Curves: Top Function - Bottom Function17:03
- Areas Between Curves: Function of y17:49
- What if We are Given Functions of y?17:50
- Formula for Areas Between Two Curves: Right Function - Left Function21:48
- Finding a & b22:32
42m 55s
- Intro0:00
- Instructions for the Example Problems0:10
- Example I: y = 7x - x² and y=x0:37
- Example II: x=y²-3, x=e^((1/2)y), y=-1, and y=26:25
- Example III: y=(1/x), y=(1/x³), and x=412:25
- Example IV: 15-2x² and y=x²-515:52
- Example V: x=(1/8)y³ and x=6-y²20:20
- Example VI: y=cos x, y=sin(2x), [0,π/2]24:34
- Example VII: y=2x², y=10x², 7x+2y=1029:51
- Example VIII: Velocity vs. Time33:23
- Part A: At 2.187 Minutes, Which care is Further Ahead?33:24
- Part B: If We Shaded the Region between the Graphs from t=0 to t=2.187, What Would This Shaded Area Represent?36:32
- Part C: At 4 Minutes Which Car is Ahead?37:11
- Part D: At What Time Will the Cars be Side by Side?37:50
34m 15s
- Intro0:00
- Volumes I: Slices0:18
- Rotate the Graph of y=√x about the x-axis0:19
- How can I use Integration to Find the Volume?3:16
- Slice the Solid Like a Loaf of Bread5:06
- Volumes Definition8:56
- Example I: Find the Volume of the Solid Obtained by Rotating the Region Bounded by the Given Functions about the Given Line of Rotation12:18
- Example II: Find the Volume of the Solid Obtained by Rotating the Region Bounded by the Given Functions about the Given Line of Rotation19:05
- Example III: Find the Volume of the Solid Obtained by Rotating the Region Bounded by the Given Functions about the Given Line of Rotation25:28
51m 43s
- Intro0:00
- Volumes II: Volumes by Washers0:11
- Rotating Region Bounded by y=x³ & y=x around the x-axis0:12
- Equation for Volumes by Washer11:14
- Process for Solving Volumes by Washer13:40
- Example I: Find the Volume of the Solid Obtained by Rotating the Region Bounded by the Following Functions around the Given Axis15:58
- Example II: Find the Volume of the Solid Obtained by Rotating the Region Bounded by the Following Functions around the Given Axis25:07
- Example III: Find the Volume of the Solid Obtained by Rotating the Region Bounded by the Following Functions around the Given Axis34:20
- Example IV: Find the Volume of the Solid Obtained by Rotating the Region Bounded by the Following Functions around the Given Axis44:05
49m 36s
- Intro0:00
- Solids That Are Not Solids-of-Revolution0:11
- Cross-Section Area Review0:12
- Cross-Sections That Are Not Solids-of-Revolution7:36
- Example I: Find the Volume of a Pyramid Whose Base is a Square of Side-length S, and Whose Height is H10:54
- Example II: Find the Volume of a Solid Whose Cross-sectional Areas Perpendicular to the Base are Equilateral Triangles20:39
- Example III: Find the Volume of a Pyramid Whose Base is an Equilateral Triangle of Side-Length A, and Whose Height is H29:27
- Example IV: Find the Volume of a Solid Whose Base is Given by the Equation 16x² + 4y² = 6436:47
- Example V: Find the Volume of a Solid Whose Base is the Region Bounded by the Functions y=3-x² and the x-axis46:13
50m 2s
- Intro0:00
- Volumes by Cylindrical Shells0:11
- Find the Volume of the Following Region0:12
- Volumes by Cylindrical Shells: Integrating Along x14:12
- Volumes by Cylindrical Shells: Integrating Along y14:40
- Volumes by Cylindrical Shells Formulas16:22
- Example I: Using the Method of Cylindrical Shells, Find the Volume of the Solid18:33
- Example II: Using the Method of Cylindrical Shells, Find the Volume of the Solid25:57
- Example III: Using the Method of Cylindrical Shells, Find the Volume of the Solid31:38
- Example IV: Using the Method of Cylindrical Shells, Find the Volume of the Solid38:44
- Example V: Using the Method of Cylindrical Shells, Find the Volume of the Solid44:03
32m 13s
- Intro0:00
- The Average Value of a Function0:07
- Average Value of f(x)0:08
- What if The Domain of f(x) is Not Finite?2:23
- Let's Calculate Average Value for f(x) = x² [2,5]4:46
- Mean Value Theorem for Integrate9:25
- Example I: Find the Average Value of the Given Function Over the Given Interval14:06
- Example II: Find the Average Value of the Given Function Over the Given Interval18:25
- Example III: Find the Number A Such that the Average Value of the Function f(x) = -4x² + 8x + 4 Equals 2 Over the Interval [-1,A]24:04
- Example IV: Find the Average Density of a Rod27:47
50m 32s
- Intro0:00
- Integration by Parts0:08
- The Product Rule for Differentiation0:09
- Integrating Both Sides Retains the Equality0:52
- Differential Notation2:24
- Example I: ∫ x cos x dx5:41
- Example II: ∫ x² sin(2x)dx12:01
- Example III: ∫ (e^x) cos x dx18:19
- Example IV: ∫ (sin^-1) (x) dx23:42
- Example V: ∫₁⁵ (lnx)² dx28:25
- Summary32:31
- Tabular Integration35:08
- Case 135:52
- Example: ∫x³sinx dx36:39
- Case 240:28
- Example: ∫e^(2x) sin 3x41:14
24m 50s
- Intro0:00
- Example I: ∫ sin³ (x) dx1:36
- Example II: ∫ cos⁵(x)sin²(x)dx4:36
- Example III: ∫ sin⁴(x)dx9:23
- Summary for Evaluating Trigonometric Integrals of the Following Type: ∫ (sin^m) (x) (cos^p) (x) dx15:59
- #1: Power of sin is Odd16:00
- #2: Power of cos is Odd16:41
- #3: Powers of Both sin and cos are Odd16:55
- #4: Powers of Both sin and cos are Even17:10
- Example IV: ∫ tan⁴ (x) sec⁴ (x) dx17:34
- Example V: ∫ sec⁹(x) tan³(x) dx20:55
- Summary for Evaluating Trigonometric Integrals of the Following Type: ∫ (sec^m) (x) (tan^p) (x) dx23:31
- #1: Power of sec is Odd23:32
- #2: Power of tan is Odd24:04
- #3: Powers of sec is Odd and/or Power of tan is Even24:18
22m 12s
- Intro0:00
- Trigonometric Integrals II0:09
- Recall: ∫tanx dx0:10
- Let's Find ∫secx dx3:23
- Example I: ∫ tan⁵ (x) dx6:23
- Example II: ∫ sec⁵ (x) dx11:41
- Summary: How to Deal with Integrals of Different Types19:04
- Identities to Deal with Integrals of Different Types19:05
- Example III: ∫cos(5x)sin(9x)dx19:57
17m 22s
- Intro0:00
- Example I: ∫sin²(x)cos⁷(x)dx0:14
- Example II: ∫x sin²(x) dx3:56
- Example III: ∫csc⁴ (x/5)dx8:39
- Example IV: ∫( (1-tan²x)/(sec²x) ) dx11:17
- Example V: ∫ 1 / (sinx-1) dx13:19
55m 12s
- Intro0:00
- Integration by Partial Fractions I0:11
- Recall the Idea of Finding a Common Denominator0:12
- Decomposing a Rational Function to Its Partial Fractions4:10
- 2 Types of Rational Function: Improper & Proper5:16
- Improper Rational Function7:26
- Improper Rational Function7:27
- Proper Rational Function11:16
- Proper Rational Function & Partial Fractions11:17
- Linear Factors14:04
- Irreducible Quadratic Factors15:02
- Case 1: G(x) is a Product of Distinct Linear Factors17:10
- Example I: Integration by Partial Fractions20:33
- Case 2: D(x) is a Product of Linear Factors40:58
- Example II: Integration by Partial Fractions44:41
42m 57s
- Intro0:00
- Case 3: D(x) Contains Irreducible Factors0:09
- Example I: Integration by Partial Fractions5:19
- Example II: Integration by Partial Fractions16:22
- Case 4: D(x) has Repeated Irreducible Quadratic Factors27:30
- Example III: Integration by Partial Fractions30:19
46m 37s
- Intro0:00
- Introduction to Differential Equations0:09
- Overview0:10
- Differential Equations Involving Derivatives of y(x)2:08
- Differential Equations Involving Derivatives of y(x) and Function of y(x)3:23
- Equations for an Unknown Number6:28
- What are These Differential Equations Saying?10:30
- Verifying that a Function is a Solution of the Differential Equation13:00
- Verifying that a Function is a Solution of the Differential Equation13:01
- Verify that y(x) = 4e^x + 3x² + 6x + e^π is a Solution of this Differential Equation17:20
- General Solution22:00
- Particular Solution24:36
- Initial Value Problem27:42
- Example I: Verify that a Family of Functions is a Solution of the Differential Equation32:24
- Example II: For What Values of K Does the Function Satisfy the Differential Equation36:07
- Example III: Verify the Solution and Solve the Initial Value Problem39:47
28m 8s
- Intro0:00
- Separation of Variables0:28
- Separation of Variables0:29
- Example I: Solve the Following g Initial Value Problem8:29
- Example II: Solve the Following g Initial Value Problem13:46
- Example III: Find an Equation of the Curve18:48
51m 7s
- Intro0:00
- Standard Growth Model0:30
- Definition of the Standard/Natural Growth Model0:31
- Initial Conditions8:00
- The General Solution9:16
- Example I: Standard Growth Model10:45
- Logistic Growth Model18:33
- Logistic Growth Model18:34
- Solving the Initial Value Problem25:21
- What Happens When t → ∞36:42
- Example II: Solve the Following g Initial Value Problem41:50
- Relative Growth Rate46:56
- Relative Growth Rate46:57
- Relative Growth Rate Version for the Standard model49:04
24m 37s
- Intro0:00
- Slope Fields0:35
- Slope Fields0:36
- Graphing the Slope Fields, Part 111:12
- Graphing the Slope Fields, Part 215:37
- Graphing the Slope Fields, Part 317:25
- Steps to Solving Slope Field Problems20:24
- Example I: Draw or Generate the Slope Field of the Differential Equation y'=x cos y22:38
45m 29s
- Intro0:00
- Exam Link0:10
- Problem #11:26
- Problem #22:52
- Problem #34:42
- Problem #47:03
- Problem #510:01
- Problem #613:49
- Problem #715:16
- Problem #819:06
- Problem #923:10
- Problem #1028:10
- Problem #1131:30
- Problem #1233:53
- Problem #1337:45
- Problem #1441:17
41m 55s
- Intro0:00
- Problem #150:22
- Problem #163:10
- Problem #175:30
- Problem #188:03
- Problem #199:53
- Problem #2014:51
- Problem #2117:30
- Problem #2222:12
- Problem #2325:48
- Problem #2429:57
- Problem #2533:35
- Problem #2635:57
- Problem #2737:57
- Problem #2840:04
58m 47s
- Intro0:00
- Problem #11:22
- Problem #24:55
- Problem #310:49
- Problem #413:05
- Problem #514:54
- Problem #617:25
- Problem #718:39
- Problem #820:27
- Problem #926:48
- Problem #1028:23
- Problem #1134:03
- Problem #1236:25
- Problem #1339:52
- Problem #1443:12
- Problem #1547:18
- Problem #1650:41
- Problem #1756:38
25m 40s
- Intro0:00
- Problem #1: Part A1:14
- Problem #1: Part B4:46
- Problem #1: Part C8:00
- Problem #2: Part A12:24
- Problem #2: Part B16:51
- Problem #2: Part C17:17
- Problem #3: Part A18:16
- Problem #3: Part B19:54
- Problem #3: Part C21:44
- Problem #3: Part D22:57
31m 20s
- Intro0:00
- Problem #4: Part A1:35
- Problem #4: Part B5:54
- Problem #4: Part C8:50
- Problem #4: Part D9:40
- Problem #5: Part A11:26
- Problem #5: Part B13:11
- Problem #5: Part C15:07
- Problem #5: Part D19:57
- Problem #6: Part A22:01
- Problem #6: Part B25:34
- Problem #6: Part C28:54
1 answer
Mon Apr 23, 2018 3:30 AM
Post by Patricia Xiang on April 19, 2018
Hello professor,
In example III why it is not a local min where there’s a cusp? F(0) is the smallest in the immediate neighborhood. Is it because f’(x) is not differentiable there? If so, why f(x) can has a local min/max where there’s a jump discontinuity as showed in previous videos?
1 answer
Mon Apr 23, 2018 3:21 AM
Post by Patricia Xiang on April 19, 2018
Hello professor,
Is Reduced Echelon form required in AP calculus? Or it is just helpful solving the problems? And if it helps a lot, should I acquire how to do it by hands or merely how to do it on the calculator?
Have a great day.
2 answers
Last reply by: Richard Kennesson
Tue Jul 26, 2016 1:21 AM
Post by Richard Kennesson on July 24, 2016
Hello Professor,
I think you may have made an error at 54:40 or maybe I didn't get what you did there.
f(x) = 2x^(-1/3) - 1
f'' is the derivative f' and you just dropped down the 1. I thought that the derivative of a constant is 0.
If I'm right you'd have
f''(x) = -2/3x^(-4/3) = 0
then I multiply by the the denominator 3x^(-4/3) and then get, -2 = 0
Either way, it all worked out in the end as there is no solution.
Have a great day.