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INTEGRALS

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Title: INTEGRALS


1
5
INTEGRALS
2
INTEGRALS
5.3The Fundamental Theorem of Calculus
In this section, we will learn about The
Fundamental Theorem of Calculus and its
significance.
3
FUNDAMENTAL THEOREM OF CALCULUS
  • The Fundamental Theorem of Calculus (FTC) is
    appropriately named.
  • It establishes a connection between the two
    branches of calculusdifferential calculus and
    integral calculus.

4
FTC
  • Differential calculus arose from the tangent
    problem.
  • Integral calculus arose from a seemingly
    unrelated problemthe area problem.

5
FTC
  • The FTC gives the precise inverse relationship
    between the derivative and the integral.

6
FTC
Equation 1
  • The first part of the FTC deals with functions
    defined by an equation of the form
  • where f is a continuous function on a, b and x
    varies between a and b.

7
FTC
  • Observe that g depends only on x, which appears
    as the variable upper limit in the integral.
  • If x is a fixed number, then the integral
    is a definite number.
  • If we then let x vary, the number
    also varies and defines a function of x denoted
    by g(x).

8
FTC
  • If f happens to be a positive function, then g(x)
    can be interpreted as the area under the graph of
    f from a to x, where x can vary from a to b.
  • Think of g as the area so far function, as
    seen here.

9
FTC
Example 1
  • If f is the function whose graph is shown and
    , find the values of
    g(0), g(1), g(2), g(3), g(4), and g(5).
  • Then, sketch a rough graph of g.

10
FTC
Example 1
  • First, we notice that

11
FTC
Example 1
  • From the figure, we see that g(1) is the area of
    a triangle

12
FTC
Example 1
  • To find g(2), we add to g(1) the area of a
    rectangle

13
FTC
Example 1
  • We estimate that the area under f from 2 to 3 is
    about 1.3.
  • So,

14
FTC
Example 1
  • For t gt 3, f(t) is negative.
  • So, we start subtracting areas, as follows.

15
FTC
Example 1
  • Thus,

16
FTC
Example 1
  • We use these values to sketch the graph of g.
  • Notice that, because f(t) is positive for t lt 3,
    we keep adding area for t lt 3.
  • So, g is increasing up to x 3, where it
    attains a maximum value.
  • For x gt 3, g decreases because f(t) is negative.

17
FTC
  • If we take f(t) t and a 0, then, using
    Exercise 27 in Section 5.2, we have

18
FTC
  • If we sketch the derivative of the function g, as
    in the first figure, by estimating slopes of
    tangents, we get a graph like that of f in the
    second figure.
  • So, we suspect that g f in Example 1 too.

19
FTC
  • To see why this might be generally true, we
    consider a continuous function f with f(x) 0.
  • Then, can be
    interpreted as the area under the graph of f
    from a to x.

20
FTC1
  • If f is continuous on a, b, then the function g
    defined by
  • is continuous on a, b and differentiable on
    (a, b), and g(x) f(x).

21
FTC1
  • In words, the FTC1 says that the derivative of a
    definite integral with respect to its upper limit
    is the integrand evaluated at the upper limit.

22
FTC1
Equation 5
  • Using Leibniz notation for derivatives, we can
    write the FTC1 as
  • when f is continuous.
  • Roughly speaking, Equation 5 says that, if we
    first integrate f and then differentiate the
    result, we get back to the original function f.

23
FTC1
Example 2
  • Find the derivative of the function
  • As is continuous, the FTC1 gives

24
FTC1
Example 3
  • A formula of the form may seem like a
    strange way of defining a function.
  • However, books on physics, chemistry, and
    statistics are full of such functions.

25
FTC1
Example 4
  • Find
  • Here, we have to be careful to use the Chain Rule
    in conjunction with the FTC1.

26
FTC1
Example 4
  • Let u x4.
  • Then,

27
FTC1
  • In Section 5.2, we computed integrals from the
    definition as a limit of Riemann sums and saw
    that this procedure is sometimes long and
    difficult.
  • The second part of the FTC (FTC2), which follows
    easily from the first part, provides us with a
    much simpler method for the evaluation of
    integrals.

28
FTC2
  • If f is continuous on a, b, then
  • where F is any antiderivative of f, that is, a
    function such that F f.

29
FTC2
  • The FTC2 states that, if we know an
    antiderivative F of f, then we can evaluate
    simply by
    subtracting the values of F at the endpoints of
    the interval a, b.

30
FTC2
  • Its very surprising that , which
    was defined by a complicated procedure involving
    all the values of f(x) for a x b, can be
    found by knowing the values of F(x) at only two
    points, a and b.

31
FTC2
  • If v(t) is the velocity of an object and s(t) is
    its position at time t, then v(t) s(t).
  • So, s is an antiderivative of v.

32
FTC2
  • In Section 5.1, we considered an object that
    always moves in the positive direction.
  • Then, we guessed that the area under the velocity
    curve equals the distance traveled.
  • In symbols,
  • That is exactly what the FTC2 says in this
    context.

33
FTC2
Example 5
  • Evaluate the integral
  • The function f(x) x3 is continuous on -2, 1
    and we know from Section 4.9 that an
    antiderivative is F(x) ¼x4.
  • So, the FTC2 gives

34
FTC2
Example 5
  • Notice that the FTC2 says that we can use any
    antiderivative F of f.
  • So, we may as well use the simplest one, namely
    F(x) ¼x4, instead of ¼x4 7 or ¼x4 C.

35
FTC2
  • We often use the notation
  • So, the equation of the FTC2 can be written as
  • Other common notations are and
    .

36
FTC2
Example 6
  • Find the area under the parabola y x2 from 0 to
    1.
  • An antiderivative of f(x) x2 is F(x) (1/3)x3.
  • The required area is found using the FTC2

37
FTC2
Example 7
  • Find the area under the cosine curve from 0 to b,
    where 0 b p/2.
  • Since an antiderivative of f(x) cos x is F(x)
    sin x, we have

38
FTC2
Example 7
  • In particular, taking b p/2, we have proved
    that the area under the cosine curve from 0 to
    p/2 is sin(p/2) 1.

39
FTC2
  • If we didnt have the benefit of the FTC, we
    would have to compute a difficult limit of sums
    using either
  • Obscure trigonometric identities
  • A computer algebra system (CAS), as in Section 5.1

40
FTC2
Example 8
  • What is wrong with this calculation?

41
FTC2
Example 9
  • To start, we notice that the calculation must be
    wrong because the answer is negative but f(x)
    1/x2 0 and Property 6 of integrals says that
    when f 0.

42
FTC2
Example 9
  • The FTC applies to continuous functions.
  • It cant be applied here because f(x) 1/x2 is
    not continuous on -1, 3.
  • In fact, f has an infinite discontinuity at x
    0.
  • So, does not exist.

43
INVERSE PROCESSES
  • We end this section by bringing together the two
    parts of the FTC.

44
FTC
  • Suppose f is continuous on a, b.
  • 1.If , then g(x) f(x).
  • 2. , where F is any antiderivative
    of f, that is, F f.

45
INVERSE PROCESSES
  • We noted that the FTC1 can be rewritten as
  • This says that, if f is integrated and then the
    result is differentiated, we arrive back at the
    original function f.

46
INVERSE PROCESSES
  • As F(x) f(x), the FTC2 can be rewritten as
  • This version says that, if we take a function F,
    first differentiate it, and then integrate the
    result, we arrive back at the original function
    F.
  • However, its in the form F(b) - F(a).

47
INVERSE PROCESSES
  • Taken together, the two parts of the FTC say that
    differentiation and integration are inverse
    processes.
  • Each undoes what the other does.

48
SUMMARY
  • The FTC is unquestionably the most important
    theorem in calculus.
  • Indeed, it ranks as one of the great
    accomplishments of the human mind.
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