Title: CHAPTER%20FOUR
1CHAPTER FOUR
2SURVEY OF THIS CHAPTER
- Remember when I first introduced calculus to you?
We said that there are two fundamental branches
of calculus. One was differential calculus which
included slopes of tangent lines, differentiation
of functions, applications of derivatives,
optimization, curve sketching, approximation and
differentials. - The other branch is called integral calculus
which you might understand by the title of this
presentation ? has to do with integrals. We are
not with differential calculus yet. We have more
to do with derivatives, however, in my humble
opinion, this is a perfect place to take a break
with differentiation. - If you are not good at differentiating functions
by now, look at those previous slides again and
again and do those problems. You need to
understand the concepts of differentiating. It
would be really helpful if you knew how to
differentiate very well. - PRACTICE! PRACTICE! PRACTICE!
3PROBLEM
- After solving problem about tangent lines, Newton
and Leibniz wanted to know how to find area under
a curve.
4ANY IDEAS??
- A good way to find area is to think like a good
math student. In other words, the way to find
area under the curve is by FINDING a way to find
a way to find the area under the curve.
5THE WAY TO GET AREA
- Try putting rectangles under the curve and find
the area of all of those rectangles and thus, and
add them all up. A l w OR - This graph is y x2
- A Dx Dy
- A1 (1)(1) 1
- A2 (1)(4) 4
- A1 A2 5
- REAL ANSWER 8/3 or 2.6667
- There is a lot of error, since some of the
rectangles werent exactly on the graph. - Notice, the top right of each rectangle touches
the graph. This method of finding area is called
RRAM (Right Rectangular Approximation Method).
6LEFT HAND METHOD
- Lets try having the left top of the rectangle
touch the graph. Perhaps, we will get a better
answer. - A (?x)(?y)
- A1 (0)(0) 0
- A2 (1)(1) 1
- A1 A2 1
- Still a lot of error.
- This method is called LRAM (Left Rectangular
Approximation Method)
7MIDDLE?
- MRAM (Middle Rectangular Approximation Method)
is having the graph touch the midpoint of the
rectangle. - Lets approximate
- A?x ?y
- A1 (1)(¼) ¼
- A2 (1)(2.25) 2.25
- A1 A2 2.50
- We are almost there. This method seems to be
better, since the portions of the rectangle out
of the graph take into account the missing
portions of the graph, not taken into account
for. - In other words, the white part of the rectangle
takes into account the blue part not included in
any rectangle
8NOTICE
- For the area computations, we always held ?x as
1. Lets try to make ?x smaller like ?x ½ using
RRAM. - A ?x?y
- A1 (½)(0)0
- A2 (½)(1)½
- A3 (½)(2.25)9/16
- A4 (½)(4) 2
- A1A2A3A4 3.0625
- Still off, but better than the RRAM with ?x 1
9MRAM and LRAM for ?x ½
- Here are the LRAM and MRAM respectively, and
their areas.
A 1.75
A 2.59375
10ANALYSIS
- From the LRAM, RRAM, and MRAM and the
computations of area, we have discovered some
interesting patterns - Of the three methods, MRAM was most accurate.
- Notice, when we made ?x smaller, we got a more
better answer than before with less error.
11?x goes smaller
- If ?x gets smaller and smaller, there will be
more and more rectangles that will be very very
skinny. With the area of these rectangles added
up, you will be able to compute a more accurate
area. - Georges Riemann thought of an idea using the
concept of adding and skinny rectangles.
12Summation
- If you took New York State Course III, or some
statistics class, you should be able to remember
this summation notation.
- The sum of all values of f(x) from i (i 1) to
k. (i and k being integers)
13Example summation problem
14Reimann sum
- Think of the rectangle formula A ?x ?y
- Lets think of ?y y, because ?y y 0, since
the initial point is on the x axis (y0). Lets
even go further and say y f(x). - Therefore A f(x) ?x
15Reimann Sums
- To express the sum of all those areas with a
particular ?x value could be seen as? - i and n are just for the number of rectangles.
- Now we want to make ?x really small
16How small should ?x go?
- Very small, very close very close to 0!
Infinitesimally small! - Time to use the limits again, since we ARE
talking about the limit as ?x?0! - If you want to talk in terms of how many
rectangles, then you use the limit as n?8, rather.
17THE INTEGRAL
- These both yield to the same thing, the brand
new, the interesting (sometimes annoying)
INTEGRAL!
f(x) dx is the integrand
b is the second x boundary
Variable of integration
function
a is the first x boundary
f(x) must be continuous between a,b
18GRAPHICALLY
- The way to look at the integral graphically. This
graph is y sin x. We want to find the area
under the curve from a to b. You need to
calculate
19THATS COOL, BUT HOW DO WE CALCULATE THE INTEGRAL?
- For me to know and for you to find out!
- We will discuss on evaluating such integrals
later. Right now, lets focus on integral
properties. - Assuming f(x) is a continuous function and a,b,
and c are various x limits and k is a constant,
the following is proven true.
20PROPERTIES OF INTEGRALS
21GRAPHICAL PROPERTY
- Equal areas above the x axis and equal areas
below the x axis cancels. - Area below x axis lt 0 while area above x axis gt 0.
22OTHER WAYS OF FINDING AREAS
- You could use the trapezoidal rule which is just
using trapezoids inside the region with the same
?x and use of the area formula A
(½)(?x)(f(x0)f(x1)) where ?x x1 x0, and the
trapezoid is made using x0 and x1. This also
happens to be a better process. Even better than
midpoint in some cases.
23FUNDAMENTAL THEOREM OF CALCULUS pt 1
- This theorem has two very crucial parts. One
wont be used as much as the the other. - From the book The Tour of the Calculus there is a
very fancy proof to the following part of the FTC
(fundamental theorem of calculus). - However, you wont need to know this proof for
this class.
24FTC Part 1
- Many books will tell you very long and boring
ways of this part. Basically, differentiation and
integration are inverses. - Note, that x is a limit while the variable of
integration is t. We could have the variable of
integration as a, b, c, or any letter as long as
f(variable of integration) is there. Due to this
fact, the variable of integration is called the
dummy variable. - x as a limit vs. t as dummy variable is used
to prevent confusion.
25FTC Part I
- If the top limit is not a plain simple x, then
you must differentiate the top and thus multiply
the f(x) on the right. - If both limits are not x, then you have to split
the integral and the same process as above.
26FTC Part 1
- Calculus teachers will test this on a class test.
From looking and taking the AP Calculus exam,
there are perhaps no or just one question on this
theorem. - KEY POINT Differentiation are integration are
inverse functions.
27APPLICATION
- Recall from chapter 2 that velocity, v(t), was
defined as the derivative of position, x(t).
Acceleration, a(t), was the derivative of v(t),
and the second derivative of x(t). - So, the INTEGRAL of acceleration is velocity.
- Similarly the INTEGRAL of velocity is position.
- If you take the graph of v(t) vs. t and graphed
it, you will see that the area between two times
is the DISTANCE traveled. - Similarly, the area under a(t) vs. t graph will
give you the velocity. - If you took physics, you were taught that taking
the area under the curve will show you these
quantities.
28FTC Part 2
- caps please
- THIS IS THE MOST IMPORTANT THEOREM IN CALCULUS.
REMEMBER THIS THEOREM. - YOU WILL, I REPEAT, YOU WILL BE ABLE TO DO ANY
CALCULUS AFTER THIS POINT IF YOU DO NOT
UNDERSTAND THIS THEOREM.
29FTC Part 2
- I guess I made my point clear ?!
- This theorem helps us evaluate integrals.
Generally, capital letters talk about
ANTIDERIVATIVES. Small letters talk about
functions.
30ANTIDIFFERENTIATION
- Antidifferention is basically doing the reverse
of getting the derivative. No different from the
concept of integral. - Find the antiderivative of y 3x2
31Not too helpful eh? ?
- A better example Antidifferentiate (or get the
integral of) y x2 - Power Rule
- Reverse Power Rule
- Answer
32ANTIDIFFERENTIATION
- Ask yourself, What function when I take its
derivative will get me this? - As you just saw, the reverse power rule in
effect. - You can easily come up with very basic rules on
integrating (antidifferenting) functions. - INTEGRAL ANTIDERIVATIVE. I will be using
integral more to save my fingers from typing
antiderivative over and over.
33GENERAL RULES
- With polynomials, use reversed power rule
- With trigonometric functions, remember your
derivative rules - y(x) sin x, then y(x) cos x
- y(x) cos x, then y(x) - sin x
- Basically it is the differentiation rules, just
reversed.
34Evaluating Integral Example 1
- Evaluate the following
- GIVEN
- Sum of 2 integrals, pulled out constants
- Antidifferentiation
- FTC Part 2 used. Pulled out constants
- The area under the curve is
35EVALUATING NOTATION
- Notice how we evaluate antiderivatives in this
format from the previous example
36AVERAGE VALUE
- Remember in Chapter 2 and 3, we discussed average
rate. The average rate of distance with respect
to time was average velocity. The limit as the
change in the independent variable of such
average rate goes to zero, then you get the
instantaneous rate, or the derivative. - Similarly, if you work backwards, you can get an
average value, since you already have rate. For
example, you have a velocity-time curve. If you
want to find the average distance, you use the
average value theorem.
37AVERAGE VALUE THEOREM
- The average value theorem is defined as the
following.
38PROBLEM 1
- Devotees from New York wanted to go to New Jersey
for the Ratha Yatra. A devotee who is part of the
Gaudiya Mathematics group decided to plot speed
and plot them on a graph. He saw that the
velocity in m.p.h can be defined by v(t)2x-4.
What is the net distance or displacement between
their starting time and 3 hours later? - What was their total distance?
- What is the average distance?
39DISTANCE VS. DISPLACEMENTSPEED VS. VELOCITY
- If you studied physics, you can skip this slide
and go on to the solution. If you havent taken
physics, you ought to read this. - Distance is how much have you traveled over all,
regardless of direction. It only deals with how
much you traveled. Since it only has magnitude,
it is called a scalar quantity. - Displacement is a vector quantity. It has both
magnitude as well as direction. The direction can
be determined by a or sign, in this case,
above or below the x axis. Velocity is also a
vector, vs. speed is a scalar. Acceleration and
jerk are also vector quantity. - Since we are only discussing things in one
dimension, you really have to know that vectors
have direction by a /- sign.
40TO FIND DISPLACEMENT
- To calculate displacement is done by simply
integrating v(t) with respect to t and using t0
and t3 as limits.
Negative 3 miles???
41ZERO DISPLACEMENT
- Remember.. Integrals are areas! Equal areas with
different signs ( and -) will cancel. For
example Areas 8 and -8 will cancel. Therefore,
equal areas cancelled out in the example. - Negative displacements means that overall, they
traveled in the negative direction. Remember,
displacement is a vector!
42VECTOR AND SCALAR
DISTANCE SPEED
43DISTANCE and SPEED
- To find an absolute value of the velocity
function, you find the zeros (i.e. the values of
t when v(t)0) and find the absolute values of
the areas separately. Then, add them up. Lets
find how much they have traveled.
44TOTAL DISTANCE
- When we find the absolute value of the function,
we are really flipping all the negative f(x)
values and making them positive. In order to do
that, we must find out where the f(x) values are
0. Since v(t) is 0 when t2, then we must split
it up into two integrals. One for 0,2 and the
other for 2,3. One of them is going to be
negative, therefore, you have to make each
integral inside an absolute value bar.
45AVERAGE VALUE
- Finding average value is a piece of eggless cake.
? - Just plug in the appropriate numbers and
functions into the right spots, then integrate,
evaluate, and calculate!
46CONCLUSION
- This chapter just merely dealt with the area
problem. The integral is merely a sum of the
areas infinite rectangles (with a really
infinitesimally small width) under the curve. You
can get good approximates with a small ?x, using
RRAM, LRAM, and MRAM, which MRAM is most
accurate. - Differentiation and integration are inverses.
- The integral can be evaluated using the
fundemental theorem of calculus. - Velocity is the integral of acceleration.
Position is the integral of velocity. - Remember, net distance or displacement is merely
the integral of v(t) with respect to t. The total
distance is the absolute value of v(t) or you can
break it down by solving for t when v(t) 0. and
have that t be a limit. Remember to take the
absolute values and add them together! - Derivative is to integral as rate is to quantity.
47INTEGRAL
- Differential calculus, as mentioned earlier, was
not finished, but we just took a good time to
pause and reflect on ideas and concepts.
Differential calculus is very short. - Integral calculus, however, is very long and a
tad difficult. Here is the mathematical reason
why. You could integrate if f(x) g(x) is in the
integrand. You could do the following
48YOU CANT DO THIS
- You cannot do that idea with products nor
quotients. - Product rule wasnt as easy as if you have
h(x)f(x)g(x), then h(x)f(x)g(x) and same
with the quotient rule too. - Thus, the integration for such functions will
discussed later on. If you are a BC Calculus
(Calculus II) student, you will most likely learn
most processes. If you are an AB Calculus
(Calculus I) student, you will have to wait next
year or semester for the fun ? - This is why Calculus II was invented!
49THE ORIGINAL PARABOLA AREA PROBLEM
- Remember how I showed you the tilak (or parabola)
graph earlier? You see how I got 2.66667 as my
area..
50END OF CHAPTER FOUR