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
Derivatives II
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: Find the Derivative of (2+x)/(3-x)
- Derivatives II
- f(x) is Differentiable if f'(x) Exists
- Recall: For a Limit to Exist, Both Left Hand and Right Hand Limits Must Equal to Each Other
- Geometrically: Differentiability Means the Graph is Smooth
- Example II: Show Analytically that f(x) = |x| is Nor Differentiable at x=0
- Differentiability & Continuity
- How Can a Function Not be Differentiable at a Point?
- Higher Derivatives
- Example III: Find (dy)/(dx) & (d²y)/(dx²) for y = x³
- Intro 0:00
- Example I: Find the Derivative of (2+x)/(3-x) 0:18
- Derivatives II 9:02
- f(x) is Differentiable if f'(x) Exists
- Recall: For a Limit to Exist, Both Left Hand and Right Hand Limits Must Equal to Each Other
- Geometrically: Differentiability Means the Graph is Smooth
- Example II: Show Analytically that f(x) = |x| is Nor Differentiable at x=0 20:53
- Example II: For x > 0
- Example II: For x < 0
- Example II: What is f(0) and What is the lim |x| as x→0?
- Differentiability & Continuity 34:22
- Differentiability & Continuity
- How Can a Function Not be Differentiable at a Point? 39:38
- How Can a Function Not be Differentiable at a Point?
- Higher Derivatives 41:58
- Higher Derivatives
- Derivative Operator
- Example III: Find (dy)/(dx) & (d²y)/(dx²) for y = x³ 49:29
AP Calculus AB Online Prep Course
Transcription: Derivatives II
Hello, welcome back to www.educator.com, welcome back to AP Calculus.0000
Today, we are going to continue our discussion of the derivative.0004
Let us jump right on in.0007
Let us start with an example, example 1.0017
I guess we will stick with black today.0024
It is not a problem, we will see how that goes.0027
Find the derivative of 2 + x/ 3 – x.0030
We know how to do this, nice straightforward.0047
f’(x) is equal to the limit as h approaches 0 of f(x) + h - f(x)/ h.0050
Again, we are going to work with just a function.0062
f(x) + h, it is going to be 2 + x + h/ 3 - x + h - 2 + x/ 3 – x.0066
That is that one and that one, /h.0081
It is like a little bit of a simplification to do.0086
This is just 2 + x + h/ 3 - x – h - 2 + x/ 3 - x/ h.0088
We are going to find a common denominator on top.0105
This is going to be 3 - x × 2 + x + h -, this × that,0109
-2 + x × 3 - x - h/ 3 - x - h/ 3 - x/ h.0120
I’m going to multiply it out.0139
I end up with something that looks like this, I hope.0140
+ 3x + 3h - 2x - x² - xh – 6 - 2x - 2h + 3x - x² - xh/ x.0146
I'm sorry, this is 3 - x - h × 3 – x, and all of that /h.0180
We get 6 - 6 because the negative distributes.0191
We get + 3x - the 3x, we get -2x.0197
A - and - 2x - x², - and - x² – xh.0206
What we are left with is just the 3h and the 2h.0214
3h - -2h, that is going to give us, it is going to equal 5h/ 3 - x - h × 3 - x/ h0222
which is going to equal 5h/ h × 3 - x - h × 3 – x.0245
The h cancel, you are just left with our function 5/ this thing which, now we are going to take the limit of that.0258
We get the limit as h goes to 0 of 5/ 3 - x - h × 3 – x.0271
h goes to 0 and we are left with 5/ 3 - x².0288
That is that, our f’(x) is equal to 5/3 – (x)².0296
Let us take a look at the graph and its derivative.0310
Again, the graph is in red, the derivative is in black.0314
As x increases, notice as x increases from left to right,0320
notice the slope of f, as it increases, the slope of the graph increases.0341
It is always positive which is why the black is positive above the x axis, but it is actually increasing which is why the black goes up.0353
3, of course.0361
What was our original f(x)?0366
Our original f(x) was 2 + x/ 3 – x, it is not defined at 3, there is an asymptote.0369
Our f’ was 5/ 3 - x², also not defined.0378
Here pass 3, the slope is always positive but notice now the slope is actually,0386
from your perspective, the slope is changing, it is decreasing.0398
Always going to stays positive but it is decreasing, getting close to 0.0400
That is why the derivative graph looks the way that it does.0407
The black graph.0413
As x increases from left to right, the slope of f, let me go back to black.0417
The slope of f is positive and increases at 3.0428
Neither f nor f’ exist, we said it is not differentiable there.0445
It is not defined there and it is not differentiable there.0454
The function is not defined, the derivative is not defined.0458
It is not differentiable.0461
We say f is not differentiable, it means something is going on there.0465
It is not smooth there.0478
It is not differentiable at x = 3.0479
Past 3, the slope is always positive above the x axis, that totally decreases.0482
Let us talk about differentiability.0514
We know the definition of the derivative.0519
If the limit that we take, when we take the derivative, the limit as h approaches 0 f(x) + h - f(x)/ h.0522
If the limit exists, the function is differentiable, in other words, it has a derivative.0528
If the limit does not exist, because we have seen situations where the limit does not exist,0534
we say function is not differentiable.0538
It does not have a derivative there at that point.0539
That is all that is going on.0542
We say that a function is differentiable at, a, if f’ at a exists.0544
In other words, f’ at a specific point is equal to limit as h approaches 0 of f of the point.0580
Now it is not just x + h, it is the actual point + h - the actual point/ h.0593
If f’ of a exists, in other words, if this limit actually exist as a finite number.0610
If this limit exists as a finite number.0618
Again, notice that we actually put a specific value in for this normal f(x) + h - f(x)/ h.0638
If we speak about differentially at certain point, we put the value in.0646
Actually, we did not have to do that.0653
The fact of the matter is we can just stick with the normal f(x) + h - f(x)/ h.0655
See if we actually get a derivative, some function of x, some f’(x).0660
And then, take the a and put it into the f’(x) function and see if it actually works out.0665
In the previous problem, we had f was 2 + x/ 3 – x.0672
And then, when we took the derivative of that, we ended up with f’ being equal to 5/ x - 3².0680
The question was, is it differentiable at 3?0689
It did not matter, you can go ahead and just use the normal general expression f(x) + h - f(x)/ h, take the limit.0692
When we took the limit, we ended up with an actual function.0701
Now we can put a in.0704
If you put 3 in here, you notice that 3 is not going to work, it is not defined.0705
Therefore, it is not differentiable.0710
It is up to you, you can put the a in, form the expression and take the limit.0712
Or you can just use the general expression as a function of x.0716
Find the limit if it exists, and then plug the a in and see if the derivative is actually defined, either one is fine.0720
I hope that made sense.0728
Let me just write this all out.0730
Notice we actually put the specific a value into the limit expression.0732
Or we can work more generally and say f(x) is differentiable if f’(x) exists.0761
That is it, the same thing, f’(x) = the limit as h approaches 0 of f(x) + h - f(x)/ h.0813
If you take the limit and you get a function.0826
It is going to exist for some values of a function, for certain values.0831
It is not going to exist so it is not going to be differentiable at those particular points,0834
where the derivative f’(x) is not defined or if there are some other problem there.0839
Recall, for a limit to exist both left hand and right hand limits have to be the same.0860
Right hand limits must equal each other.0883
Graphically it means this.0893
That is our a, we have a secant line.0909
This point is a + h.0920
The limit as h goes to 0 of f(a) + h – f(a)/ h.0926
That is the slope of that line.0933
As I get closer and closer, I’m going to get, this is the secant line.0936
I’m going to have another secant line, another secant line.0944
At some point, it is going to get so close, I’m going to end up with a tangent line.0953
The same thing from this side, if I have a secant line and if I get closer and closer,0956
I’m going to have a bunch of other secant lines that pass through that point.0963
You see the secant line slope is approaching a certain value.0972
In the other end, the secant line slope is approaching a certain value.0977
If the two lines match the left hand and the right hand, that is what it means for the slope to exist.0981
The left hand slope and the right hand slope have to equal.0991
The left hand limit and the right hand limit have to equal.0994
If they equal each other, we end up with the derivative.0997
Now if I plug in a value of a and calculate it, the two numbers have to equal each other.1000
It has to exist first of all, but they have to equal each other.1008
If I do it with general function, find the function and that function is going to be undefined somewhere.1012
I can do it either way.1019
I can either use the expression with a specific value of a or I can use just the general expression with x and put a in afterward.1021
But this is what it means for a limit to exist.1030
The slopes have to match from left and right.1033
Geometrically, this means, as you pass to the limit as h approaches 0,1036
the secant line slopes from the left and the right, they approach the same numerical value.1062
In other words, the secant lines become the same tangent line.1094
Same numerical value means the same tangent line.1102
Geometrically, this means, the graph is smooth.1114
It does not have any kinks in it.1118
Geometrically, this idea of differentiability means the graph is smooth.1122
Smooth means no sudden jerks, no sudden changes of direction, or going off to infinity.1149
When dealing with graphs, a differential function, any point that all of the sudden has a sudden of change of direction,1176
the function is not differentiable at that point.1186
Any point x where the graph goes off to infinity, the graph is not differentiable.1189
Differentiable means smooth, nice transitions.1194
It goes off to infinity.1198
You have something like this.1200
Notice, all, everything, there is no sudden change of direction.1207
If you have something like this, it is not differentiable there and it is not differentiable there.1210
The slope all of a sudden goes from here to here.1220
The slope was from here to here.1225
No cusp, any cusp on the graph means not differentiable.1232
If you have a situation where it goes to infinity, it is not differentiable at that x value.1238
Example 2, this one is a bit involved, but that is not a problem.1253
It is a really great example.1261
Example number 2, show analytically that f(x), the function f(x) = the absolute value of x, is not differentiable at x = 0.1262
We know what this graph looks like.1291
Here is our graph, it is just going to be that thing right there.1294
It is perfectly differentiable here, perfectly smooth and perfectly smooth.1297
Notice here it has a sudden change of direction.1301
The slope and the slope are not equal.1304
Geometrically, because we can see that it is not differentiable.1306
We want to show analytically that it is not the case.1309
We have to show that the left hand limit and right hand limit, even though they exist, they are not equal to each other.1313
Remember, in order for there to be differentiability, the limit has to exist.1324
For the limit to exist, the left hand and the right hand limits have to be equal to each other.1330
I hope that make sense.1338
We must show that f’ at 0 does not exist, that is non differentiability.1340
In other words, we have to show that it is infinite or the left hand limit does not equal the right hand limit.1356
We have our f(x), f(x) = the absolute value of x.1373
0 is the dividing line, they also told us that we are concerned with 0.1378
We must check x greater than 0 and x less than 0, and compare the limits.1388
In other words, we are going to do the limit as x approaches 0 from below.1406
We are going to take the limit as x approaches 0 from above.1412
We are to see what those two limits are.1416
If the limits are the same, it is differentiable.1418
If they are not the same, it is not differentiable.1421
This is how we do it analytically.1423
We have to show the limit exists, we have to show that limits equal each other.1425
For x greater than 0, we have f’(x) is equal to the limit as h approaches 0 from above of f(x) + h - f(x)/ h =1433
the limit as h approaches 0 from above of the absolute value of x + h - the absolute value of x/ h.1469
The absolute value of x + h, when x is greater than 0, recall the definition of absolute value.1482
Let me do it another way, the absolute value of anything under the absolute value sign is that thing,1492
when x is greater than 0, when a is greater than 0.1497
Or it is –a, when a is less than 0.1500
Since x is greater than 0, this just becomes the limit as h approaches 0.1503
The absolute value signs go away.1510
It is just x + h - x/ h.1512
x cancel and you are left with the limit as h approaches 0 from above of 1 which = 1.1517
I hope that makes sense.1529
For x less than 0, f’(x) is equal to the limit as h approaches 0 from below of f(x) + h - f(x)/ h =1535
the limit as h approaches 0 from below.1566
This is x is less than 0.1571
This thing is actually going to be –x + h - -x.1579
Because the absolute value of x, when x is less than 0 is –x, that minus stays.1591
I hope that makes sense.1599
/h, = the limit as h approaches 0 from below - x - h + x/ h.1605
= the limit as h approaches 0 from below -1.1619
The left hand limit, when we approach 0 is -1.1627
The limit exist, it is -1.1631
The right hand limit as x approaches 0 from above was +1.1633
The left hand limit exists, the right hand limit exists,1640
but the limits are not equal to each other which means that it is not differentiable.1642
-1 does not equal 1.1649
f(x) is not differentiable but it is differentiable everywhere else.1655
It is differentiable from negative infinity all the way to 0, union 0 all the way to positive infinity.1666
It is differentiable everywhere else, because everywhere else is defined.1675
As long as x is less than 0, the slope is always going to be -1.1678
As long as x is greater than 0, the slope is always going to be +1.1684
0, it cannot decide which slope to take, -1 or +1.1689
Because it cannot decide, because they are not equal, it is not differentiable.1693
It is not smooth, there is a sudden change of direction.1697
It is not differentiable, that point causes problems.1704
That is all that is going on here.1708
Let us go ahead and draw these out.1719
We know what f looks like, this is f(x) = the absolute value of x.1725
It is not differentiable here, it is not smooth there.1732
The graph of the derivative f’(x).1736
When it is bigger than 0, we said the slope is 1.1743
When it is less than 0, the slope is -1.1748
Notice it is not defined here.1750
The f’(x) is not defined here.1753
This is a discontinuity, it is not differentiable, it is not smooth.1757
The function is continuous but the function is not differentiable.1763
It is okay, you can have a function that is continuous.1769
Notice change direction, I do not have to lift my pencil off.1771
This is not the f graph, this is the f’ graph.1776
Be very careful, this is going to be probably the single biggest problem for a couple of weeks1781
until you just learn to separate the fact that you can have a function and1787
you can have the derivative of the function also be a function.1792
You are going to be graphing both, keeping the graphs separate.1795
Now in calculus, my best advice is slowdown, be very careful.1799
There is going to be a lot of stuff going on in the page.1803
We will have symbolism.1806
This symbolism is going to be very subtle.1807
The difference between f and f’.1809
If your eye tends to move quickly, it is going to miss it.1811
The function itself, the original function is continuous.1814
I do not have to lift my pencil up.1817
The graph of the function shows that it is not differentiable.1819
It is not smooth there.1824
It does not go like this.1826
Let us formalize that notion.1845
Let me draw the graph again.1846
This us our coordinate axis, this is our f(x) = the absolute value of x.1850
What is f(0), f(0) is just 0.1861
The absolute value of 0 is 0.1870
What is the limit as x approaches 0 of the absolute value of x?1873
It is also 0.1884
Let me break this one up actually.1892
The limit is x approaches 0, we have to do the left and right hand limits.1897
The limit as x approaches 0 from above of the absolute value of x = the limit as x approaches 0 from above of x.1901
Because when x is positive, x approaches 0 from the right, all positive numbers.1910
The absolute value of x is positive = 0.1916
The limit as x approaches 0 from below of absolute value of x = the limit as x approaches 0 of –x.1921
When we are dealing with negative numbers, it is approaching 0 there.1931
The absolute values of x is –x.1937
Here I still get 0.1938
All three are equal, the left hand limit, the right hand limit, and the value of the function.1943
Therefore, the function is continuous.1950
What I just demonstrated is the analytical way of showing that the absolute value function is continuous.1952
All three are equal.1960
f(x), the absolute value function is continuous at x = 0.1966
Notice what I have done, what I have done here, the limit of the function as x approaches 0, that is not what I just did.1975
What I just did is I found the limit as h approaches 0 of f(x) + h - f(x)/ h.1985
I took the derivative.2001
The derivative means finding the limit of this quotient.2003
Here, as h approaches 0, here I’m taking the limit as x approaches 0 of the actual function itself.2008
When I’m taking the limit of the function itself, I’m checking for continuity.2015
When I’m finding the limit of this thing called the Newton quotient, I'm finding the derivative.2019
We see that analytically, we have demonstrated that the function is continuous.2024
And previously, we demonstrated analytically but is not differentiable.2029
You can have a function, let me say that again.2042
I think it is very important to say that again.2056
The limits that we just evaluated, those were the limits as x approaches 0 of f(x).2061
The limits that we evaluated prior to that to show differentiability or non differentiability,2069
those were the limit as h approaches 0 of f(x) + h - f(x)/ h.2076
This concerns continuity.2086
This concerns differentiability.2089
Do not mistake the two.2091
I hope the last two things did not confuse you.2094
You can have a function be continuous at a point a, but not differentiable at that point at a, as we just saw.2101
However, if f(x) is differentiable at point a, then it is continuous at a.2137
Differentiability implies continuity.2164
But continuity does not imply differentiability.2168
If I know a function is differentiable at 5, I know that it is continuous at 5.2172
I’m given continuity automatically, as a free gift.2175
But if I'm only continuous at 5, that tells me nothing about whether it is differentiable at 5.2179
Continuity does not give me differentiability for free.2185
Different ability gives me continuity for free.2188
Because sometimes, we are going to know some function is continuous, we are not going to know it is differentiable.2191
Other times, we are going to know a function is differentiable, we automatically going to know that it is continuous.2195
Differentiability implies, remember this double headed arrow means implies continuity.2202
In other words, if it is differentiable then it is continuous but not the other way around.2217
Notice it is not a double headed arrow.2223
If it were a double headed arrow, it would mean it works this way and it works that way.2226
Let us see what we have got, what is next.2247
Differentiability implies continuity but not the other way around.2253
In case this idea of implication, differentiability implies continuity but it does not go the other way.2260
If it did, we have a double headed arrow.2271
Now let us get some real world examples of what this idea of implication means.2274
When we say if something is true then something else is true.2278
If I have, if a then b, that does not mean if b then a.2281
It means only if a then b.2286
If it were true the other way around, let us call it converse.2289
I would specify if b then a.2292
They are definitely different.2296
Let me give you a couple of real world examples, in order to help with this intuitive notion of what implication actually means.2297
Real world example of this thing which is the logical implication.2305
It is huge in mathematics because everything is about if then.2319
Now I can write, if rain then clouds.2322
In other words, rain implies clouds.2329
What that means is, if it is raining, I know automatically it is cloudy.2331
There is no other way it is going to happen.2337
However, just because it is cloudy, it does not mean that is raining, that is what this means.2338
It works one way, it does not work the other way.2344
We are very specific in mathematics about this.2346
Clouds do not imply rain, but rain always implies clouds.2351
Differentiability implies continuity.2365
In other words, if it is differentiable, we automatically know it is continuous.2366
But just because something is continuous, it does not mean that it is differentiable.2370
How can a function fail to be differentiable?2377
What we just saw.2379
How can a function fail to be differentiable?2382
How can a function not be differentiable at a point?2388
The first way is a sharp kink.2403
I should say a sharp change of direction.2406
Sharp change of direction, that is one way.2411
If we have a sharp change of direction like the absolute value function, it is not differentiable there.2415
A discontinuity in the original function of the derivative, the f(x).2419
Three, an infinite slope.2438
If you have an infinite slope, in other words, the slope is all of a sudden goes vertical.2445
Change in y/ change x, change in 0, it is infinite.2452
Vertical line, whatever vertical line, there is no slope.2455
The slope is undefined, it is not differentiable there.2457
If you have something like rapid change in direction, it is not differentiable at that point.2463
It is not differentiable at whatever x value is.2471
A discontinuity function is not differentiable at that point.2475
The last one, if you have a function that goes vertical and it was like that,2486
the slope goes vertical, it is not differentiable at that point.2492
Three ways you can fail differentiability.2497
Sharp change in direction, a discontinuity, or an infinite slope.2499
Let us talk about the final topic here.2506
Let us see where we are, maybe higher derivatives.2509
I think I will go to blue, just a happy color and makes me happy.2516
Higher derivatives.2522
I know that if I have a function f(x), I can take the derivative of it and I get some f’(x) which is also function of x.2530
I can take the derivative of that.2537
As a function of x, I can take the derivative again.2539
I can take the derivative as many times as I want.2542
As long as I end up with something that is actually meaningful.2545
I get the second derivative which we symbolize with a double prime and a triple prime,2548
and a quadruple prime, however many derivatives you can actually take.2553
y, take the derivative, you get y’.2558
Let us do it this way. If I have a function at y, if I take the derivative, dy dx, if we are using that symbolism.2563
Now when we take the second derivative, when we take the derivative again,2570
the symbol is d² y dx².2575
If it was the 4th derivative, it would be the d⁴ y/ dy⁴.2580
This is a symbol telling me that I have taken the derivative twice.2586
Let us talk about this.2591
Let us talk about this peculiar symbolism.2599
What the heck is d² y/ dx² mean, why do we symbolize it that way.2606
If you do not want to do this, yes I do.2617
In mathematics, we have something called an operator.2623
An operator is a symbol that tells you do something to a function.2632
A symbol that tells you to perform an operation on the symbol.2641
It is a fancy word for, it is a symbol to tell you to do something to a function, to perform an operation on a function.2654
Given f, taking the derivative of f is an operation that you are performing on the function f.2664
It is an operation you perform on f, in order to get f’.2690
You have a function, you operate on that function with the differential operator,2705
with the derivative operator, and you get another function.2708
The derivative operator is symbolized ddx.2715
Whenever you see d/ dx and there is something that follows it, that means take the derivative of what is following it.2732
When you see ddx of x², this says take the derivative of x².2744
It is that simple, it is just take the derivative of x².2771
Now we said y is also a symbol used for functions.2775
We have seen it for years now, ever since probably 6th or 7th grade.2793
y = x², we see that all the time.2806
It can be f(x) = x² or we just write y = x².2809
Dy dx is equivalent to ddx of y.2817
We just decide to get rid of the parentheses and put the y there, up on top with the numerator.2825
Dy dx which is equivalent to ddx of y, which is equal to ddx of the function x² says, take the derivative of y.2831
That is it, take the derivative of y.2845
When you see dv dt, it is telling you z is some function of some variable.2850
Take the derivative with respect to t of that.2861
It is telling you that z is actually some function of t.2865
It is telling you take the derivative of z.2869
Dy dx, take the derivative of y.2872
That is all it is, find f’, find y’, whatever it is.2875
Given y, apply the differential operator that gives you dy dx.2882
Apply the differential operator again, in other words take the derivative again,2897
that gives you, you are taking ddx of this thing which is a function.2902
You are doing ddx of dy dx, multiplied out symbolically.2908
d × d is d², dx dx we just put the 2 on top of that.2918
d² dx, this is actually the whole thing dx.2926
I hope that makes sense.2932
That is where the symbolism comes from.2933
It is just the idea of applying this thing called an operator.2937
In this case, it is the derivative operator.2941
Later in the course, you are going to learn something called the integral operator2943
which means take the integral of the function, instead of take the derivative of the function.2946
Symbolically, that is all it means.2955
It is all based on this symbol, an operator which says do something to a function.2956
When you have done something to a function, you are going to get another function.2962
Let us do example 3, find dy dx and d² y dx² for y = x³.2970
The first derivative, we need to apply the differential operator once to get something.2993
And then, we need to apply the differential operator again to get something else.3002
Again, applying the differential operator just means taking the derivative.3005
Finding the limit as h approaches 0 of f(x) + h - f(x)/ h².3009
In this case, when we do it, this is our f(x).3016
Once we get the first derivative, now we are going to treat this as a function of x and3021
we are going to ignore this and treat this as an f(x).3026
We are going to be taking the limit of f of this, the derivative.3029
The first derivative, the first derivative is just f’(x) is equal to the limit as h approaches 0 of f(x) + h - f(x)/ h.3037
We did this already in the previous problem.3057
I do not want to go through this process again.3058
Let us just say because we are dealing with y = x³, we found that f’(x) is equal to 3x².3061
That is our first derivative.3070
Now we want to take the second derivative.3072
The second derivative means take the derivative now of 3x².3075
f”(x) is equal to the limit as h approaches 0 of f’(x) + h - f’(x)/ h.3084
This is f, the derivative give me a prime.3102
Here is f’, this is f’’.3106
It is a prime on top of that prime, that is what is happening here.3113
This is going to be the limit as h approaches 0 of this function 3x + h² - 3x²/ h.3117
When I expand this and simplify it, I end up with 6x.3136
You should do it for yourself to actually make sure that it works.3144
What you have got is x³.3150
I can go to the next page.3159
x³, the first derivative.3162
When we take the derivative of that, we get 3x².3168
We take the derivative again and we get 6x.3172
If I wanted to, I can take the derivative again.3176
I would get 6.3179
If I wanted to, I can take the derivative one more time and I would end up with 0.3180
In this case, this is differentiable four times.3184
You will actually see how we go from this to this to this to this.3188
For the time being, we have been using the limit as finding the derivative.3193
Our process of finding the derivative so far is taking the limit as h approaches 0 of f(x) + h.3200
We actually go through this tedious algebraic process.3208
In the subsequent lessons, we are going to teach you quick ways to go from here to here,3212
without having to go through this process.3218
Thank you so much for joining us here at www.educator.com.3222
We will see you next time, bye.3224

Raffi Hovasapian
Derivatives II
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
Fri Apr 7, 2017 6:48 PM
Post by Peter Fraser on March 30, 2017
49:25 Hi Raffi. I think what this derivative notation is doing is migrating the independent variable symbol of a graphed function into the function’s dependent variable symbol. Going back to the distance = ½ time^2 example, graphing this has t as the independent variable and s, distance, as the dependent variable. Taking the derivative of s = ½ t^2 give s’ = t; now the symbol for the dependent variable is s/t = velocity. Comparing with this (Leibniz) notation ds/dt and t, the independent variable symbol, is now showing in the dependent variable symbol s/t, i.e. the symbol for velocity. Taking the derivative of s’ = t gives s” = 1; and the symbol for the dependent variable is now s/t^2 = acceleration. Comparing this again with the Leibniz notation for this second derivative d^2s / dt^2 and t^2, the square of the independent variable symbol, is now showing in the dependent variable symbol s/t^2, i.e. the symbol for acceleration. So this Leibniz notation is showing the relationship between the independent variable and the dependent variable of a function for each instance the derivative of the function is taken. Hope I’m on the right track here.