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CHAPTER FOUR

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Title: CHAPTER FOUR


1
CHAPTER FOUR
Hare Krsna Hare Krsna Krsna Krsna Hare Hare Hare
Rama Hare Rama Rama Rama Hare Hare Jaya Sri Sri
Radha Vijnanasevara (Lord Krsna, the King of Math
and Science) KRSNA CALCULUS PRESENTS
  • THE IDEA OF THE INTEGRAL
  • Date January 31, 2002

2
SURVEY 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!

3
PROBLEM
  • After solving problem about tangent lines, Newton
    and Leibniz wanted to know how to find area under
    a curve.

4
ANY 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.

5
THE 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).

6
LEFT 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)

7
MIDDLE?
  • 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

8
NOTICE
  • 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

9
MRAM and LRAM for ?x ½
  • Here are the LRAM and MRAM respectively, and
    their areas.

A 1.75
A 2.59375
10
ANALYSIS
  • 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.

12
Summation
  • 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)
13
Example summation problem
  • Solve this

14
Reimann 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

15
Reimann 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

16
How 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.

17
THE 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
18
GRAPHICALLY
  • 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

19
THATS 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.

20
PROPERTIES OF INTEGRALS
21
GRAPHICAL 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.

22
OTHER 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.

23
FUNDAMENTAL 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.

24
FTC 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.

25
FTC 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.

26
FTC 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.

27
APPLICATION
  • 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.

28
FTC 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.

29
FTC 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.
30
ANTIDIFFERENTIATION
  • Antidifferention is basically doing the reverse
    of getting the derivative. No different from the
    concept of integral.
  • Find the antiderivative of y 3x2

31
Not too helpful eh? ?
  • A better example Antidifferentiate (or get the
    integral of) y x2
  • Power Rule
  • Reverse Power Rule
  • Answer

32
ANTIDIFFERENTIATION
  • 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.

33
GENERAL 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.

34
Evaluating 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

35
EVALUATING NOTATION
  • Notice how we evaluate antiderivatives in this
    format from the previous example

36
AVERAGE 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.

37
AVERAGE VALUE THEOREM
  • The average value theorem is defined as the
    following.

38
PROBLEM 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?

39
DISTANCE 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.

40
TO 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???
41
ZERO 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!

42
VECTOR AND SCALAR
DISTANCE SPEED
43
DISTANCE 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.

44
TOTAL 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.

45
AVERAGE 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!

46
CONCLUSION
  • 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.

47
INTEGRAL
  • 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

48
YOU 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!

49
THE 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..

50
LAST WORDS
  • It is very important for you to understand the
    Reimann sum concept for it will be useful soon.
    If you are having difficulty antidifferentiating
    (getting the integral of) basic functions, you
    need to study the derivative rules. You have to
    practice these problems over and over again.
  • I am available for help via e-mail at
    kksongs_1_at_hotmail.com.
  • Please read help statement in introduction
    slideshow prior to sending e-mail. Thank you!
  • Good luck! Hari Bol!

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END OF CHAPTER FOUR
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