For more information, please see full course syllabus of AP Calculus AB
For more information, please see full course syllabus of AP Calculus AB
Discussion
Answer Engine
Download Lecture Slides
Table of Contents
Transcription
Example Problems I
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
- Example II: Intervals, Local Maxes & Mins
- Example III: Intervals, Local Maxes & Mins, and Inflection Points
- Example IV: Intervals, Local Maxes & Mins, Inflection Points, and Intervals of Concavity
- Example V: Intervals, Local Maxes & Mins, Inflection Points, and Intervals of Concavity
- Intro 0:00
- Example I: Intervals, Local Maxes & Mins 0:26
- Example II: Intervals, Local Maxes & Mins 5:05
- Example III: Intervals, Local Maxes & Mins, and Inflection Points 13:40
- Example IV: Intervals, Local Maxes & Mins, Inflection Points, and Intervals of Concavity 23:02
- Example V: Intervals, Local Maxes & Mins, Inflection Points, and Intervals of Concavity 34:36
AP Calculus AB Online Prep Course
Transcription: Example Problems I
Hello, and welcome back to www.educator.com, and welcome back to AP Calculus.0000
In the last couple of lessons, we discussed the first derivative and the second derivative.0005
And how they are used in order to decide what graph of a function looks like.0009
In today's lesson and in the next lesson, we are going to do example problems using these techniques,0015
getting progressively more complex as far as the functions that we are dealing with.0020
Let us jump right on in.0024
The following is the graph of the first derivative of some function,0027
on which the original function increasing or decreasing and are there any local maxes or mins?0032
With these particular problems, you have to be very careful to remember which function you are dealing with,0040
which graph they actually gave you.0046
In this case, they gave you the first derivative.0048
This is not the function itself, this is not the second derivative, it is the first derivative.0051
This is f’(x), we have to remember that.0057
In the process of deciding whether it is increasing/decreasing, concave up, concave down,0060
what is a local max and what is a local min.0067
It is going to start to get confusing because you are going to try to describe the behavior of the function,0069
but what you are given is the first derivative of the function.0075
We know that increasing is where the first derivative is greater than 0.0080
Decreasing is where the first derivative is less than 0.0085
This is the first derivative.0088
At this point, between this point and this point, the original function is increasing0090
because the first derivative is positive, it is above the x axis.0096
To the left of this point which is -1, the first derivative which is this graph is negative, it is below the x axis0100
Pass the point 4, it is also negative.0110
The function itself is decreasing on this interval, increasing on this interval, decreasing on this interval.0117
Let me go ahead and work in blue here.0130
I’m just going to write right on top of the graph.0134
Our intervals of increase, it is when f’ is greater than 0.0137
Our interval of increase is from, this is -1.0148
I think I read the graph wrong.0161
It looks like this is -1 and this looks like this 4, from -1 to 4.0166
The interval of decrease is when the first derivative is actually less than 0.0177
In this case, decrease happens on the interval from -infinity to -1 union 4, all the way to infinity.0184
These points, where the first derivative actually equal 00211
because this is the first derivative of the graph, this one.0214
This -1 and this 4, those are the local extrema.0217
F’(x) = 0 at -1 and 4.0225
These are the local extrema, in other words the local mins and local max.0236
Let us see which one is which.0244
At -1, we have decreasing, increasing.0247
You have a local min at x = -1.0253
Over here, it is increasing/decreasing.0262
You have a local max at x = 4.0267
That is it, that is all that is happening here.0276
Just be very careful which graph they are giving you to read it.0279
In the process, you are going to get confused.0284
That is not a problem, that is the whole process.0287
We have all gone through the process, we have all gotten confused.0290
We have all make some minor mistakes and some gross mistakes, regarding this.0292
This is the process, just be extra careful.0297
You have to be very vigilant here.0300
Let us do another example, same type.0305
The following is a graph of the first derivative.0307
This is f’ of a function, on which intervals is the function, the original function increasing/decreasing.0312
Are there any local maxes or mins, you also want more information,0322
on which interval is the function concave up and concave down?0326
What are the x values of the points of inflection?0330
A lot of information that they require here.0333
Let us go through increasing/decreasing like we did before.0336
Once again, increasing is where f’ is greater than 0, decreasing is where f’ is less than 0.0339
This is the f’ graph, therefore here, between here and here, and from here onward, f’ is positive.0346
Therefore, the function is increasing.0361
Therefore, our increasing interval, I will write it over here, is going to be from, this looks roughly like -1.8 all the way to about here.0363
We can read off as, let us just call it 0.9.0380
This should be an open.0385
This is roughly 2.2, all the way to +infinity.0389
This is where the function, the original function is increasing.0399
It is increasing where the first derivative is positive, positive above the x axis.0404
Therefore, our interval of decrease, it is negative from -infinity all the way to this -1.8.0411
It is also below between this 0.9 and this 2.2.0422
These are our intervals of increase and decrease.0431
What we have here is decreasing on this interval, increasing on this interval, decreasing on this interval, increasing on that interval.0435
Therefore, that makes this point right here.0445
I will say the local maxes are going to be this one which is at x = 0.9.0456
Our local min, decreasing/increasing, decreasing/increasing.0470
We have -1.8 and our 2.2.0479
Remember, what we are talking about here is the actual original function.0486
What we had here is our first derivative graph.0492
This does not describe the graph.0497
We are using the graph to describe the original function and we are doing it analytically, things that we know.0500
Increasing/decreasing, positive, negative.0507
Let us move on to our next page here.0512
We have taken care of the local maxes and mins.0515
We have taken care of the increasing/decreasing.0517
Let us find some points of inflection and some intervals of concavity here.0519
Once again, let us remind ourselves actually that this is f’ not f”.0526
We want to talk about some inflection points.0535
Inflection points, we said that inflection points are points where f” is equal to 0.0538
F” is equal to 0, since this graph that we are looking at, since this graph is f’, f” is the slope of this graph.0553
F” is the slope of this graph.0571
I hope that make sense.0584
We want the slope of this graph, where is it the slope of this graph equal 0?0588
It equal 0 there, there, there, and there.0593
What are these x values, it is going to be some place like right there, right there, right there, and right there.0602
Therefore, at x equals -1.25, -0.6, 0, it looks like about 1.6.0613
At these points, the second derivative equal 0.0633
The second derivative is the slope of this graph which is the graph of the first derivative.0637
These are points of inflection.0642
We take those points of inflection, we put them on a number line.0644
We evaluate whether the second derivative is positive or negative.0652
To the left or right of those points.0660
I have got -1.25, -0.6, 0, and 1.6.0662
I need to check where the second derivative.0674
We are dealing with the second derivative here.0677
I need to check this region, this region, this interval, this interval, and this interval,0679
to see whether it is concave up or concave down.0687
I look to the left of -1.25, the slope here is positive, it is concave up.0692
From -1.25 to -0.6, slope is negative, it is concave down.0704
Not the graph, what we are talking about here is the original function.0711
This is where the confusion lies in.0715
This is not concave up but because this is the f’ graph, f” of the original function is the slope of this graph.0717
The slope is positive, therefore, the original function is concave up.0727
Let us write concave up, concave down.0733
From 0.6 to 0, the slope is positive, this is concave up.0736
From 0 to about 1.6, the slope is negative, we are looking at concave down.0741
From here onward, the slope of this is positive.0749
F’ is positive, this means it is concave up.0753
Therefore, our intervals of concavity, concave up are, -infinity to -1.25 union -0.6 to 0 union 1.6 to +infinity.0757
We are going to be concave down from -1.25 all the way to -0.6.0777
And union where it is negative, it is going to be from 0 all the way to +1.6.0786
I hope it makes sense what it is that we have down here.0795
There you go, you got your points of inflection, you have your intervals of concavity0803
We found our local maxes and mins, and we found out the intervals of increase and decrease of the actual function.0809
It looks like we have everything.0815
Let us try another one.0820
The following is a graph of the first derivative.0823
Let us remind ourselves, we are looking at f’ of a function.0828
On which intervals of the function increasing/decreasing?0832
Are there local maxes and mins, on which intervals of the function concave up and concave down?0835
What are the x values of the points of inflection?0840
The exact same thing as what we just did, we are going to do it again.0842
Increasing/decreasing is where the first derivative is positive/negative respectively.0850
Right about there, it looks like about 2.8, 2.7, 2.8, something like that.0858
To the right of that, that is where the first root is positive.0864
To the left of that, it is all below the x axis.0868
F’ is negative, it is decreasing.0874
Do not let this fool you, just read right off the graph.0878
Trust the math, do not trust your instinct.0883
Your instinct is going to want you to see this as the function.0887
This is not the function, this is the derivative of the function.0891
Our intervals of increase is 2.8 all the way to +infinity, 2.8 onward, that way.0895
Our intervals of decrease, we have -infinity to 2.8.0908
-infinity to 2.8.0914
This is going to be, it is negative so it is decreasing.0921
Here it is increasing, we are going to have a local min at 2.8.0925
That is it, local min at x = 2.8.0931
There are no local maxes because there is no place where it goes from increasing to decreasing.0942
In this case, there is no local max.0947
Let us go ahead and talk about some inflection points.0954
I think I can go ahead and do this one in red.0957
Inflection points, we said inflection points are points where the second derivative is equal to 0.0961
Inflection points, there are places where f” is actually equal to 0.0974
F” is f’ of f’, it is going to be the derivative of this graph.0985
It is going to be the slope of that graph.0997
F” which is the slope of this graph is equal to 0 at 2 points.1004
That right there and about right there.1015
Points of inflection are going to be x = -0.9 and x = roughly 1.5.1020
Once again, we have our -0.9, we have our 1.5.1045
Let us go ahead and do our f’ check.1050
We have -0.9 and we have our 1.5.1058
I need to check this region, this region, and this region.1063
To the left of 0.9, the slope of this graph is positive that means the f” is positive.1069
Therefore, the slope is concave up.1077
From -0.9 to 1.5, from here to here, the slope is negative, this means it is concave down.1082
The slope, remember this is f’.1093
The slope is f” of the original function, concave down.1098
From this point onward, we have a positive slope, positive slope, it is concave up.1103
Therefore, our intervals of concavity are concave up from -infinity to -0.9 union at 1.5, all the way to +infinity.1111
We have concave down from -0.9 all the way to 1.5.1126
Again, be very careful, when you know you are dealing with f’.1138
Now I’m going to show you the image of all three graphs right on top of each other, to see what is going on.1143
This was the graph that we were given, this is f’.1155
This is the graph of f”, in other words, it is the slope of this purple.1162
This is actually f(x), this is the one whose behavior we listed and elucidated.1170
Let us double check.1178
Let us go back to blue here.1180
We said the following, we said our interval of increase is 2.8 to +infinity.1182
We look at our original function, it is this one the blue.1211
Yes, decrease, decrease.1215
Yes, from 2.8 onward.1217
That checks out, very nice.1221
We said that it decreased from -infinity all the way to this 2.8.1225
Sure enough, the function from -infinity as we move from left to right,1230
the function is decreasing, decreasing, decreasing, decreasing, until it hits 2.8.1235
Yes, that checks out.1239
We said that we had a local min at 2.8.1242
Yes, there is our local min at 2.8, right there, that checks.1248
We said we had inflection points, let us see what we have got.1255
Inflection points, we said that we have an inflection point at x = -0.9.1261
We also said we had one at x = 1.5.1267
Let us go to -0.9, roughly right about there.1275
Yes, there it is, our blue.1279
There is our inflection point, it changes from concave up to concave down.1280
And then, roughly around 1.5, right about there.1285
There we go at 1.5, at this point.1289
It goes from concave down to concave up.1291
Yes, these two check out.1295
And then, we had our intervals of concavity.1298
We said that we have an interval of concavity from -infinity to -0.9 union at 1.5, all the way to +infinity.1301
Let us double check.1311
Concave up, concave up from -infinity to -0.9.1312
From 1.5 all the way to +infinity, 1.5 to +infinity.1317
Yes, that checks out.1321
The last thing we want to double check is our concave down, from negative 0.9 all the way to 1.5.1323
Yes, from -0.9 all the way to about 1.5.1332
Yes, the graph is concave down, there we go.1337
Here, we see them all together.1342
The graph they gave us was this one.1344
This is the graph they gave us.1350
From that, I was able to elucidate all of this information that corroborated the actual function, which is this.1352
Be very careful with this, that is the take home lesson, just be vigilant.1361
As in all things with, when it comes down to higher math and higher science.1369
You just have to be extra vigilant, there is a lot happening.1373
You have to keep track of every little thing.1376
Let us go ahead and do some analytical work here.1380
For the function 10x²/ x² + 5, find the intervals of increase and decrease,1385
the local maxes and mins, the points of inflection, and the intervals of concavity.1395
Use this information to actually draw the graph.1400
Let us go ahead and do it.1402
I’m going to go back to blue here.1406
I have got f’(x) is equal to, I have this × the derivative of that - that × the derivative of this/ that².1409
I got x² + 5 × 20x - 10x².1420
I really hope to God that I did my arithmetic correctly.1427
All over x² + 5, I’m going to rely on you to double check that for me.1431
All of that is equal to, when I multiply it out, I get 20x³ + 100x - 20x³/ x² + 5².1439
Those cancel, I'm left with 100x/ x² + 5².1456
This is my first derivative, I’m going to set that first derivative equal to 0.1470
When I set it equal to 0, the denominator was irrelevant.1474
It is only 0 when the numerator is 0.1478
100x = 0, which means that x = 0, that is my critical value.1481
I need to check values to the left of 0, values to the right of 0, to see whether I have a local max or min, and increasing/decreasing.1492
Let us see here, I'm going to go ahead and check.1506
Let us just go ahead and check -1.1515
When we put -1 into the first derivative, you are going to end up with a negative number on top.1516
It is going to be positive, this is going to be negative.1532
This is increasing.1537
If I check the number 1, which is to the right of 0, you are going to end up with a positive number on top.1539
Positive, positive, this is going to be increasing.1544
Therefore, we have our increasing interval from 0 to +infinity.1548
We have our decreasing interval from -infinity to 0.1559
That takes care of our increasing/decreasing of the actual function.1565
We also know that this is decreasing, this is increasing.1572
We know that there is a local min at x = 0.1576
This critical value is a local min.1584
Let us go ahead and find f”(x).1588
Let us go back to blue.1590
F”(x), we are looking for inflection points, in order to check intervals of concavity.1594
We are left with this thing.1603
It is going to be this × the derivative of that - that × the derivative of this/ this².1604
We get x² + 5² × 100 - 100x × 2 × x² + 5 × 2x/ x² + 5⁴.1609
I’m going to factor out an x² + 5 here, which leaves me with x² + 5 × 100 - 400x²/,1633
I multiply this, this, this, to get 400²/,1649
I’m sorry, I multiply this, this, and this.1656
I have factored this out as here.1659
I get x² + 5⁴, this cancels with one of these, leaving 3.1661
I need that equal to 0.1670
We have f”(x) is equal to 100x² + 500 – 400x²/ x² + 5³.1677
Set that equal to 0 and I’m going to get -300x² + 500 = 0 because it is only the numerator that matters.1699
I have got 300x² is equal to 500.1712
I get x² is equal to 5/3 which gives me the x is equal to + or - 5/3, which is approximately equal to + or -1.3.1717
I’m going to set up my -1.3, +1.3.1731
I’m doing f”, I need to check points there, points there, and points there.1739
Let us go ahead and actually do this one.1747
F”(x)is equal to -300x² + 500/ x² + 5³.1750
I’m going to check the point -2.1766
When I check the point -2, I'm going to get a negative number/ a positive number1769
which is a negative number, which is concave down.1779
When I check 0, I’m going to end up with a positive number on top of a positive number.1783
When I put 0 into the second derivative, which means positive, which means concave up.1789
When I check 2, I'm going to get a negative/ a positive number that is going to be negative, this is going to be concave down.1796
Let us move on to the next page here.1811
I have got concave down from -infinity to -1.3 union at 1.3 to +infinity.1814
I have got concave up from -1.3 all the way to 1.3.1826
Let us see what happens.1835
We are dealing with a rational function.1839
We have to check the asymptotic behavior.1841
We have to check to see what happens when x gets really big, in a positive or negative direction.1843
Let us see what happens when x goes to + or -infinity.1850
F(x) is equal to 10x²/ x² + 5.1866
As x goes to infinity, this drops out.1874
The x² cancel and you are left with f(x) ends up approaching 10.1878
10 is the horizontal asymptote of this function.1884
What do we have, let us go back and put it all together.1890
We have a local min at 0.1898
When we check f (0), it equal 0.1905
We are looking at the point 0,0.1908
We know that the function is increasing from 0 to +infinity.1912
We know the function is actually decreasing from -infinity to 0.1918
We know that we have points of inflection at x = -1.3.1926
When I check the y value, I get 2.53.1941
Therefore, at -1.3 and 2.53 is my actual point of inflection, both xy coordinate.1944
My other one is at +1.3 and the y value is 2.53.1955
1.3 and 2.53 is my other point of inflection.1963
I am concave down from -infinity to -1.3 union 1.3 to +infinity.1969
I am concave up from -1.3 all the way to +1.3.1981
I have a horizontal asymptote at y is equal to 10.1990
When I put all of this together, what I end up getting is the following graph.2007
Here is my local min, here is one of my points of inflection.2017
Here is my other point of inflection.2024
It is decreasing all the way to 0, increasing past 0.2028
It is concave down all the way to -1.3, concave down up to this point.2035
It is concave up from this point to this point.2044
It is concave down again, notice that it approaches 10.2047
That is it, first derivative, second derivative, local maxes and mins, points of inflection, intervals of concavity.2055
I need horizontal asymptotes, vertical asymptotes, everything that I need in order to graph this function.2064
Let us go ahead and try another example here.2073
For the function x² ln 1/3 x, find the intervals of increase/decrease,2077
local maxes and mins, points of inflection, intervals of concavity.2081
Use this information to draw the graph.2085
Let us go ahead and do it.2088
F’(x) is equal to x, this is a product function.2091
This × the derivative of that + that × the derivative of this.2097
X² × 1/ 1/3 x × 1/3 + ln of 1/3 x × 2x.2101
1/3, 1/3, x, x, what I should end up with is x + 2x ln 1/3 (x).2116
We want to set that equal to 0.2129
I'm going to go ahead and factor out an x.2131
I get x × 1 + 2 ln of 1/3 x that is equal to 0, that gives me x = 0.2134
It gives me 1 + 2 ln of 1/3 x is equal to 0.2153
0 is one of my critical points.2160
When I solve this one, I will go ahead and solve it up here.2165
I get 2 × ln of 1/3 x is equal to -1.2169
Ln of 1/3 x is equal to -1/2.2177
I exponentiate both sides, I get 1/3 x = e ^-½.2181
I get x is equal to 3 × e⁻¹/2.2190
X is approximately equal to 1.8.2194
Let us go ahead and do it.2202
These give me my critical points.2204
I have 0 and I have got 1.8.2206
I need to check a point here, check a point here, check a point here.2210
Put them into my first derivative to see whether I get a positive or negative value.2213
Let me go ahead and write it out.2223
F’(x), I’m going to write out the multiplied form, = x × 1 + 2 ln of 1/3 x, that is my f’(x).2225
I’m going to pick a point again here, here, here.2243
Put it into this to see what I get.2246
When I check the point, this here is not the domain.2247
I do not have to check a point there.2257
The reason is I cannot take the log of a negative number.2258
That is not a problem, I do not have to check a point here and here.2262
I'm going to go ahead and check 1.2265
For 1, when I put 1 into here, this is going to be positive, this is going to be negative.2268
Therefore, it is going to be decreasing.2274
We are going to be decreasing on that interval.2277
When I check the number 2, I get positive and positive which means it is increasing on that interval.2279
I’m decreasing from 0 to 1.8, I’m increasing from 1.8 to +infinity.2294
I have a local from decreasing to increasing.2300
I have a local min at 1.8.2302
That is what this information tells me.2305
Let us write that down.2307
I’m decreasing from 0 to 1.8, I am increasing from 1.8 to +infinity.2309
I have a local min at x = 1.8.2324
The y value at x = 1.8, that is just the original function.2335
F(1.8), it gives me -1.7.2345
My local min is going to be the point 1.8, -1.7.2353
Notice that we have x = 0, what is the other critical point.2364
But I cannot say that there is actually a local max there.2368
The reason I cannot say that is because there is nothing to the left of 0, the domain.2374
In order to have a local max or a local min, I have to have the point2378
defined to the left on to the right of that particular critical point.2381
Here it is only defined to the right.2385
The positive and negatives do not count.2389
Let me write that out.2395
We cannot say that there is a local max.2400
In some sense there is, but not by definition, that there is a local max at x = 0 because f is not defined for x less than 0.2410
In other words, our function, we know there is a local min at 1.8 and -1.7.2435
We know it is here.2442
We know it is going to be something like this.2444
We cannot necessarily say that this is a local max because it is not defined over to the left of it.2446
That is all that is going on here.2452
Let us do point of inflection.2454
Let me go back to red.2457
Points of inflection, we have f’(x) is equal to x + 2 ln 1/3 x.2459
Therefore, f”(x), I’m going to take the derivative of this.2471
It is going to be 1 + 2 ×, this is 2x, 1 + 2 × x × the derivative.2476
X × 1/1/3 x × 1/3 + the nat-log of 1/3 x × 1.2488
I just pulled out the 2, just for the hell of it.2505
1/3, 1/3, x, x, this becomes 1.2508
You end up with 1 + 2 × 1 is going to be 2 + 2 × the ln of 1/3 x.2512
We are going to get 3 + 2 × the ln of 1/3 x.2527
That is our second derivative.2535
We need to set that equal to 0.2540
F”(x)is equal to 3 + 2 × the ln of 1/3 x.2545
We need to set that equal to 0.2554
We get 2 ln 1/3 x is equal to -3, ln of 1/3 x = -3/2.2556
We exponentiate both sides, we get 1/3 x is equal to e⁻³/22566
which gives us x is equal to 3 × e⁻³/2, which is approximately equal to 0.7.2581
We have to check, this is a point of inflection.2593
We need to check a point to the left of 0.7 to the right of 0.7, to see whether the second derivative is positive or negative.2596
In other words, concave up or concave down, respectively.2603
We have got 0.7 here, we are checking f”.2609
F” is equal to 3 + 2 × the nat-log of 1/3 x.2615
When I check the value, I will just check 0.2626
I check the value 0, it is going to be concave down.2633
I’m not going to check 0 actually.2649
I will check my 0.5.2652
0.5, you are going to end up getting a negative number which is going to be concave down.2654
And then, I'm going to go ahead and check some other number 1, 2, 3, does not really matter.2666
Let us just check 3, positive, that is going to be concave up.2672
In other words, I’m putting these values into the second derivative to tell me whether something is positive or negative.2677
This is going to be positive which is going to be concave up.2686
That takes care of that.2692
Now I have my intervals of concavity.2706
It is going to be concave down from 0 all the way to this 0.7.2708
Let me double check, yes.2724
And then, concave up from 0.7 to +infinity.2728
Let us find where f(x) actually equal 0.2742
Let us see where it actually crosses the x axis, if in fact it actually does so.2746
Let me go ahead and do that on the next page here.2753
F(x) is equal to x² ln 1/3 x, we want to set that to equal to 0.2758
That gives us x² is equal to 0 and it also gives us ln of 1/3 x is equal to 0.2767
This is 0, it attaches at 0,0.2776
This one you get 1/3 x e⁰ is 1, that means x = 3.2779
It touches the x axis at 0 and 3.2788
Let us list what we have got.2794
Our root x = 0, x = 3.2800
We have a local min at the point .1.8, -1.7.2809
We have a point of inflection at 0.7, -0.7.2819
We are concave down from 0 to 1.4.2828
I’m sorry not 1.4, it is going to be 0.7.2841
Concave down from 0 to 0.7.2844
We are concave up from 0.7 to +infinity.2847
The function is decreasing from 0 to 1.8.2856
The function is increasing from 1.8 to +infinity.2862
When we put all of that together, local min at 1.8, -1.7.2875
1.8, -1.7 probably puts us right there.2884
Point of inflection at 0.7, -0.7, 0.7, -0.7, somewhere around there.2887
Our graph goes something like this.2894
It is decreasing from 0 to 1.8, decreasing, concave down from 0 to 0.7.2896
It is concave down here, concave up from 0.7 to infinity.2907
That is our graph, let us see a better version of it.2915
Here is our root, here is our root.2921
Points of inflection is somewhere around there.2925
Local min somewhere around there.2931
As you can see, we have concave down from here to here.2933
Concave up from here to here, and continuously concave up.2937
The graph goes, passes through 3.2941
There you go, that is it, wonderful.2946
Thank you so much for joining us here at www.educator.com2949
We will see you next time for a continuation of example problems on using the derivative to graph functions.2952
Take care, bye.2959

Raffi Hovasapian
Example Problems I
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
Tue Jul 19, 2016 6:07 AM
Post by Peter Ke on July 15, 2016
For example V, how is the point of inflection is (0.7, -0.7)?
2 answers
Mon Jul 25, 2016 6:49 PM
Post by Acme Wang on April 7, 2016
Hi Professor,
I felt confused in finding the horizontal asymptote of 10x^2/(x^2+5). When x goes to infinity, would f(x) also approaches infinity since 10x^2 goes to infinity and (x^2+5) goes to infinity?
Thank you very much!
Sincerely,
Acme