SlideShare una empresa de Scribd logo
1 de 67
Descargar para leer sin conexión
Section 5.3
          Evaluating Definite Integrals

                  V63.0121.002.2010Su, Calculus I

                           New York University


                            June 21, 2010



Announcements

   Final Exam is Thursday in class
Announcements



           Sections 5.3–5.4 today
           Section 5.5 tomorrow
           Review and Movie Day
           Wednesday
           Final exam Thursday
                   roughly half-and-half
                   MC/FR
                   FR is all post-midterm
                   MC might have some
                   pre-midterm stuff on it




V63.0121.002.2010Su, Calculus I (NYU)   Section 5.3 Evaluating Definite Integrals   June 21, 2010   2 / 44
Resurrection Policy
 If your final score beats your midterm score, we will add 10% to its weight,
 and subtract 10% from the midterm weight.




Image credit: Scott Beale / Laughing Squid
V63.0121.002.2010Su, Calculus I (NYU)      Section 5.3 Evaluating Definite Integrals   June 21, 2010   3 / 44
Objectives




           Use the Evaluation Theorem
           to evaluate definite integrals.
           Write antiderivatives as
           indefinite integrals.
           Interpret definite integrals as
           “net change” of a function
           over an interval.




V63.0121.002.2010Su, Calculus I (NYU)   Section 5.3 Evaluating Definite Integrals   June 21, 2010   4 / 44
Outline

 Last time: The Definite Integral
    The definite integral as a limit
    Properties of the integral
    Comparison Properties of the Integral

 Evaluating Definite Integrals
    Examples

 The Integral as Total Change

 Indefinite Integrals
    My first table of integrals

 Computing Area with integrals


V63.0121.002.2010Su, Calculus I (NYU)   Section 5.3 Evaluating Definite Integrals   June 21, 2010   5 / 44
The definite integral as a limit

 Definition
 If f is a function defined on [a, b], the definite integral of f from a to b
 is the number
                                        b                               n
                                            f (x) dx = lim                  f (ci ) ∆x
                                    a                        n→∞
                                                                      i=1

                      b−a
 where ∆x =               , and for each i, xi = a + i∆x, and ci is a point in
                       n
 [xi−1 , xi ].

 Theorem
 If f is continuous on [a, b] or if f has only finitely many jump
 discontinuities, then f is integrable on [a, b]; that is, the definite integral
       b
           f (x) dx exists and is the same for any choice of ci .
   a


V63.0121.002.2010Su, Calculus I (NYU)       Section 5.3 Evaluating Definite Integrals     June 21, 2010   6 / 44
Notation/Terminology



                                                         b
                                                             f (x) dx
                                                     a


              — integral sign (swoopy S)
         f (x) — integrand
         a and b — limits of integration (a is the lower limit and b the
         upper limit)
         dx — ??? (a parenthesis? an infinitesimal? a variable?)
         The process of computing an integral is called integration




V63.0121.002.2010Su, Calculus I (NYU)   Section 5.3 Evaluating Definite Integrals   June 21, 2010   7 / 44
Example
                      1
                            4
 Estimate                        dx using the midpoint rule and four divisions.
                  0       1 + x2




V63.0121.002.2010Su, Calculus I (NYU)   Section 5.3 Evaluating Definite Integrals   June 21, 2010   8 / 44
Example
                      1
                            4
 Estimate                        dx using the midpoint rule and four divisions.
                  0       1 + x2

 Solution
 Dividing up [0, 1] into 4 pieces gives

                                        1      2      3       4
                            x0 = 0, x1 = , x2 = , x3 = , x4 =
                                        4      4      4       4
 So the midpoint rule gives

                   1            4            4            4            4
         M4 =                       2
                                      +          2
                                                   +          2
                                                                +
                   4       1 + (1/8)    1 + (3/8)    1 + (5/8)    1 + (7/8)2




V63.0121.002.2010Su, Calculus I (NYU)   Section 5.3 Evaluating Definite Integrals   June 21, 2010   8 / 44
Example
                      1
                            4
 Estimate                        dx using the midpoint rule and four divisions.
                  0       1 + x2

 Solution
 Dividing up [0, 1] into 4 pieces gives

                                        1      2      3       4
                            x0 = 0, x1 = , x2 = , x3 = , x4 =
                                        4      4      4       4
 So the midpoint rule gives

                1               4            4            4            4
         M4 =                       2
                                      +          2
                                                   +          2
                                                                +
                4          1 + (1/8)    1 + (3/8)    1 + (5/8)    1 + (7/8)2
                1            4        4        4        4
              =                   +       +        +
                4          65/64 73/64 89/64 113/64




V63.0121.002.2010Su, Calculus I (NYU)   Section 5.3 Evaluating Definite Integrals   June 21, 2010   8 / 44
Example
                      1
                            4
 Estimate                        dx using the midpoint rule and four divisions.
                  0       1 + x2

 Solution
 Dividing up [0, 1] into 4 pieces gives

                                        1      2      3       4
                            x0 = 0, x1 = , x2 = , x3 = , x4 =
                                        4      4      4       4
 So the midpoint rule gives

                1        4             4            4            4
         M4 =                 2
                                +          2
                                             +          2
                                                          +
                4 1 + (1/8)       1 + (3/8)    1 + (5/8)    1 + (7/8)2
                1     4         4        4        4
              =            +        +        +
                4 65/64 73/64 89/64 113/64
                150, 166, 784
              =               ≈ 3.1468
                47, 720, 465

V63.0121.002.2010Su, Calculus I (NYU)   Section 5.3 Evaluating Definite Integrals   June 21, 2010   8 / 44
Properties of the integral


 Theorem (Additive Properties of the Integral)
 Let f and g be integrable functions on [a, b] and c a constant. Then
               b
    1.             c dx = c(b − a)
           a
               b                                           b                       b
    2.             [f (x) + g (x)] dx =                        f (x) dx +              g (x) dx.
           a                                           a                       a
               b                            b
    3.             cf (x) dx = c                f (x) dx.
           a                            a
               b                                           b                       b
    4.             [f (x) − g (x)] dx =                        f (x) dx −              g (x) dx.
           a                                           a                       a




V63.0121.002.2010Su, Calculus I (NYU)           Section 5.3 Evaluating Definite Integrals           June 21, 2010   9 / 44
More Properties of the Integral



 Conventions:
                                              a                               b
                                                  f (x) dx = −                    f (x) dx
                                          b                               a
                                                         a
                                                             f (x) dx = 0
                                                     a
 This allows us to have
               c                     b                            c
    5.             f (x) dx =            f (x) dx +                   f (x) dx for all a, b, and c.
           a                     a                            b




V63.0121.002.2010Su, Calculus I (NYU)      Section 5.3 Evaluating Definite Integrals           June 21, 2010   10 / 44
Definite Integrals We Know So Far


          If the integral computes an
          area and we know the area,
          we can use that. For
                                                                                   y
          instance,
                         1
                                                  π
                             1 − x 2 dx =
                     0                            2

          By brute force we computed                                                         x
                1                           1
                               1                           1
                    x 2 dx =                    x 3 dx =
            0                  3        0                  4




V63.0121.002.2010Su, Calculus I (NYU)       Section 5.3 Evaluating Definite Integrals   June 21, 2010   11 / 44
Comparison Properties of the Integral
 Theorem
 Let f and g be integrable functions on [a, b].
    6. If f (x) ≥ 0 for all x in [a, b], then
                                                         b
                                                             f (x) dx ≥ 0
                                                     a




V63.0121.002.2010Su, Calculus I (NYU)   Section 5.3 Evaluating Definite Integrals   June 21, 2010   12 / 44
Integral of a nonnegative function is nonnegative

 Proof.
 If f (x) ≥ 0 for all x in [a, b], then for any number of divisions n and choice
 of sample points {ci }:
                                            n                       n
                               Sn =              f (ci ) ∆x ≥           0 · ∆x = 0
                                        i=1       ≥0              i=1


 Since Sn ≥ 0 for all n, the limit of {Sn } is nonnegative, too:
                                            b
                                                f (x) dx = lim Sn ≥ 0
                                        a                   n→∞
                                                                        ≥0




V63.0121.002.2010Su, Calculus I (NYU)   Section 5.3 Evaluating Definite Integrals     June 21, 2010   13 / 44
Comparison Properties of the Integral
 Theorem
 Let f and g be integrable functions on [a, b].
    6. If f (x) ≥ 0 for all x in [a, b], then
                                                          b
                                                              f (x) dx ≥ 0
                                                      a


    7. If f (x) ≥ g (x) for all x in [a, b], then
                                                b                       b
                                                    f (x) dx ≥              g (x) dx
                                            a                       a




V63.0121.002.2010Su, Calculus I (NYU)   Section 5.3 Evaluating Definite Integrals       June 21, 2010   14 / 44
The definite integral is “increasing”

 Proof.
 Let h(x) = f (x) − g (x). If f (x) ≥ g (x) for all x in [a, b], then h(x) ≥ 0
 for all x in [a, b]. So by the previous property
                                                        b
                                                            h(x) dx ≥ 0
                                                    a

 This means that
            b                     b                             b                              b
                f (x) dx −            g (x) dx =                    (f (x) − g (x)) dx =           h(x) dx ≥ 0
        a                     a                             a                              a

 So
                                              b                             b
                                                  f (x) dx ≥                    g (x) dx
                                          a                             a



V63.0121.002.2010Su, Calculus I (NYU)    Section 5.3 Evaluating Definite Integrals                  June 21, 2010   15 / 44
Comparison Properties of the Integral
 Theorem
 Let f and g be integrable functions on [a, b].
   6. If f (x) ≥ 0 for all x in [a, b], then
                                                              b
                                                                  f (x) dx ≥ 0
                                                          a


   7. If f (x) ≥ g (x) for all x in [a, b], then
                                                    b                         b
                                                        f (x) dx ≥                g (x) dx
                                                a                         a


   8. If m ≤ f (x) ≤ M for all x in [a, b], then
                                                                  b
                                        m(b − a) ≤                    f (x) dx ≤ M(b − a)
                                                              a



V63.0121.002.2010Su, Calculus I (NYU)     Section 5.3 Evaluating Definite Integrals           June 21, 2010   16 / 44
Bounding the integral using bounds of the function


 Proof.
 If m ≤ f (x) ≤ M on for all x in [a, b], then by the previous property
                                     b                    b                       b
                                         m dx ≤               f (x) dx ≤              M dx
                                 a                    a                       a

 By Property 1, the integral of a constant function is the product of the
 constant and the width of the interval. So:
                                                          b
                               m(b − a) ≤                     f (x) dx ≤ M(b − a)
                                                      a




V63.0121.002.2010Su, Calculus I (NYU)     Section 5.3 Evaluating Definite Integrals           June 21, 2010   17 / 44
Estimating an integral with inequalities

 Example
                      2
                          1
 Estimate                   dx using Property 8.
                  1       x




V63.0121.002.2010Su, Calculus I (NYU)   Section 5.3 Evaluating Definite Integrals   June 21, 2010   18 / 44
Estimating an integral with inequalities

 Example
                      2
                          1
 Estimate                   dx using Property 8.
                  1       x

 Solution
 Since
                                                                  1  1  1
                                        1 ≤ x ≤ 2 =⇒                ≤ ≤
                                                                  2  x  1
 we have
                                                            2
                                1                               1
                                  · (2 − 1) ≤                     dx ≤ 1 · (2 − 1)
                                2                       1       x
 or
                                                            2
                                              1                 1
                                                ≤                 dx ≤ 1
                                              2         1       x


V63.0121.002.2010Su, Calculus I (NYU)    Section 5.3 Evaluating Definite Integrals    June 21, 2010   18 / 44
Outline

 Last time: The Definite Integral
    The definite integral as a limit
    Properties of the integral
    Comparison Properties of the Integral

 Evaluating Definite Integrals
    Examples

 The Integral as Total Change

 Indefinite Integrals
    My first table of integrals

 Computing Area with integrals


V63.0121.002.2010Su, Calculus I (NYU)   Section 5.3 Evaluating Definite Integrals   June 21, 2010   19 / 44
Socratic proof



          The definite integral of
          velocity measures
          displacement (net distance)
          The derivative of
          displacement is velocity
          So we can compute
          displacement with the
          definite integral or the
          antiderivative of velocity
          But any function can be a
          velocity function, so . . .



V63.0121.002.2010Su, Calculus I (NYU)   Section 5.3 Evaluating Definite Integrals   June 21, 2010   20 / 44
Theorem of the Day



 Theorem (The Second Fundamental Theorem of Calculus)
 Suppose f is integrable on [a, b] and f = F for another function F , then
                                            b
                                                f (x) dx = F (b) − F (a).
                                        a




V63.0121.002.2010Su, Calculus I (NYU)   Section 5.3 Evaluating Definite Integrals   June 21, 2010   21 / 44
Theorem of the Day



 Theorem (The Second Fundamental Theorem of Calculus)
 Suppose f is integrable on [a, b] and f = F for another function F , then
                                            b
                                                f (x) dx = F (b) − F (a).
                                        a



 Note
 In Section 5.3, this theorem is called “The Evaluation Theorem”. Nobody
 else in the world calls it that.




V63.0121.002.2010Su, Calculus I (NYU)   Section 5.3 Evaluating Definite Integrals   June 21, 2010   21 / 44
Proving the Second FTC



                                                        b−a
 Divide up [a, b] into n pieces of equal width ∆x =           as usual. For
                                                          n
 each i, F is continuous on [xi−1 , xi ] and differentiable on (xi−1 , xi ). So
 there is a point ci in (xi−1 , xi ) with

                                 F (xi ) − F (xi−1 )
                                                     = F (ci ) = f (ci )
                                     xi − xi−1

 Or
                                        f (ci )∆x = F (xi ) − F (xi−1 )




V63.0121.002.2010Su, Calculus I (NYU)    Section 5.3 Evaluating Definite Integrals   June 21, 2010   22 / 44
Proof continued

 We have for each i
                                        f (ci )∆x = F (xi ) − F (xi−1 )
 Form the Riemann Sum:
                   n                       n
        Sn =           f (ci )∆x =              (F (xi ) − F (xi−1 ))
                 i=1                      i=1


             = (F (x1 ) − F (x0 )) + (F (x2 ) − F (x1 )) + (F (x3 ) − F (x2 )) + · · ·
                    · · · + (F (xn−1 ) − F (xn−2 )) + (F (xn ) − F (xn−1 ))
             = F (xn ) − F (x0 ) = F (b) − F (a)




V63.0121.002.2010Su, Calculus I (NYU)    Section 5.3 Evaluating Definite Integrals   June 21, 2010   23 / 44
Proof continued

 We have for each i
                                        f (ci )∆x = F (xi ) − F (xi−1 )
 Form the Riemann Sum:
                   n                       n
        Sn =           f (ci )∆x =              (F (xi ) − F (xi−1 ))
                 i=1                      i=1


             = (F (x1 ) − F (x0 )) + (F (x2 ) − F (x1 )) + (F (x3 ) − F (x2 )) + · · ·
                    · · · + (F (xn−1 ) − F (xn−2 )) + (F (xn ) − F (xn−1 ))
             = F (xn ) − F (x0 ) = F (b) − F (a)

 See if you can spot the invocation of the Mean Value Theorem!


V63.0121.002.2010Su, Calculus I (NYU)    Section 5.3 Evaluating Definite Integrals   June 21, 2010   23 / 44
Proof Completed



 We have shown for each n,

                                            Sn = F (b) − F (a)

 so in the limit
                  b
                      f (x) dx = lim Sn = lim (F (b) − F (a)) = F (b) − F (a)
              a                    n→∞             n→∞




V63.0121.002.2010Su, Calculus I (NYU)   Section 5.3 Evaluating Definite Integrals   June 21, 2010   24 / 44
Computing area with the Second FTC


 Example
 Find the area between y = x 3 and the x-axis, between x = 0 and x = 1.




V63.0121.002.2010Su, Calculus I (NYU)   Section 5.3 Evaluating Definite Integrals   June 21, 2010   25 / 44
Computing area with the Second FTC


 Example
 Find the area between y = x 3 and the x-axis, between x = 0 and x = 1.

  Solution


                    1                   1
                                   x4           1
       A=               x 3 dx =            =
                0                  4    0       4




V63.0121.002.2010Su, Calculus I (NYU)   Section 5.3 Evaluating Definite Integrals   June 21, 2010   25 / 44
Computing area with the Second FTC


 Example
 Find the area between y = x 3 and the x-axis, between x = 0 and x = 1.

  Solution


                    1                   1
                                   x4           1
       A=               x 3 dx =            =
                0                  4    0       4

 Here we use the notation F (x)|b or [F (x)]b to mean F (b) − F (a).
                                a           a




V63.0121.002.2010Su, Calculus I (NYU)   Section 5.3 Evaluating Definite Integrals   June 21, 2010   25 / 44
Computing area with the Second FTC
 Example
 Find the area enclosed by the parabola y = x 2 and y = 1.




V63.0121.002.2010Su, Calculus I (NYU)   Section 5.3 Evaluating Definite Integrals   June 21, 2010   26 / 44
Computing area with the Second FTC
 Example
 Find the area enclosed by the parabola y = x 2 and y = 1.



                                                        1




                                        −1                                      1




V63.0121.002.2010Su, Calculus I (NYU)    Section 5.3 Evaluating Definite Integrals   June 21, 2010   26 / 44
Computing area with the Second FTC
 Example
 Find the area enclosed by the parabola y = x 2 and y = 1.



                                                        1




                                        −1                                      1

 Solution

                              1                               1
                                                        x3                          1     1            4
             A=2−                 x 2 dx = 2 −                      =2−               − −         =
                            −1                          3     −1                    3     3            3

V63.0121.002.2010Su, Calculus I (NYU)    Section 5.3 Evaluating Definite Integrals             June 21, 2010   26 / 44
Computing an integral we estimated before

 Example
                                            1
                                                  4
 Evaluate the integral                                 dx.
                                        0       1 + x2




V63.0121.002.2010Su, Calculus I (NYU)           Section 5.3 Evaluating Definite Integrals   June 21, 2010   27 / 44
Example
                      1
                            4
 Estimate                        dx using the midpoint rule and four divisions.
                  0       1 + x2

 Solution
 Dividing up [0, 1] into 4 pieces gives

                                        1      2      3       4
                            x0 = 0, x1 = , x2 = , x3 = , x4 =
                                        4      4      4       4
 So the midpoint rule gives

                1        4             4            4            4
         M4 =                 2
                                +          2
                                             +          2
                                                          +
                4 1 + (1/8)       1 + (3/8)    1 + (5/8)    1 + (7/8)2
                1     4         4        4        4
              =            +        +        +
                4 65/64 73/64 89/64 113/64
                150, 166, 784
              =               ≈ 3.1468
                47, 720, 465

V63.0121.002.2010Su, Calculus I (NYU)   Section 5.3 Evaluating Definite Integrals   June 21, 2010   28 / 44
Computing an integral we estimated before

 Example
                                            1
                                                  4
 Evaluate the integral                                 dx.
                                        0       1 + x2

 Solution


                                   1                                    1
                                         4                                    1
                                              dx = 4                               dx
                               0       1 + x2                       0       1 + x2




V63.0121.002.2010Su, Calculus I (NYU)           Section 5.3 Evaluating Definite Integrals   June 21, 2010   29 / 44
Computing an integral we estimated before

 Example
                                            1
                                                  4
 Evaluate the integral                                 dx.
                                        0       1 + x2

 Solution


                                   1                                    1
                                         4                                    1
                                              dx = 4                               dx
                               0       1 + x2                       0       1 + x2
                                                           = 4 arctan(x)|1
                                                                         0




V63.0121.002.2010Su, Calculus I (NYU)           Section 5.3 Evaluating Definite Integrals   June 21, 2010   29 / 44
Computing an integral we estimated before

 Example
                                            1
                                                  4
 Evaluate the integral                                 dx.
                                        0       1 + x2

 Solution


                                   1                                    1
                                         4                                    1
                                              dx = 4                               dx
                               0       1 + x2                       0       1 + x2
                                                           = 4 arctan(x)|1
                                                                         0
                                                           = 4 (arctan 1 − arctan 0)




V63.0121.002.2010Su, Calculus I (NYU)           Section 5.3 Evaluating Definite Integrals   June 21, 2010   29 / 44
Computing an integral we estimated before

 Example
                                            1
                                                  4
 Evaluate the integral                                 dx.
                                        0       1 + x2

 Solution


                                   1                                    1
                                         4                                    1
                                              dx = 4                               dx
                               0       1 + x2                       0       1 + x2
                                                           = 4 arctan(x)|1
                                                                         0
                                                           = 4 (arctan 1 − arctan 0)
                                                                 π
                                                           =4      −0
                                                                 4


V63.0121.002.2010Su, Calculus I (NYU)           Section 5.3 Evaluating Definite Integrals   June 21, 2010   29 / 44
Computing an integral we estimated before

 Example
                                            1
                                                  4
 Evaluate the integral                                 dx.
                                        0       1 + x2

 Solution


                                   1                                    1
                                         4                                    1
                                              dx = 4                               dx
                               0       1 + x2                       0       1 + x2
                                                           = 4 arctan(x)|1
                                                                         0
                                                           = 4 (arctan 1 − arctan 0)
                                                                 π
                                                           =4      −0 =π
                                                                 4


V63.0121.002.2010Su, Calculus I (NYU)           Section 5.3 Evaluating Definite Integrals   June 21, 2010   29 / 44
Computing an integral we estimated before


 Example
                      2
                          1
 Evaluate                   dx.
                  1       x




V63.0121.002.2010Su, Calculus I (NYU)   Section 5.3 Evaluating Definite Integrals   June 21, 2010   30 / 44
Estimating an integral with inequalities

 Example
                      2
                          1
 Estimate                   dx using Property 8.
                  1       x

 Solution
 Since
                                                                  1  1  1
                                        1 ≤ x ≤ 2 =⇒                ≤ ≤
                                                                  2  x  1
 we have
                                                            2
                                1                               1
                                  · (2 − 1) ≤                     dx ≤ 1 · (2 − 1)
                                2                       1       x
 or
                                                            2
                                              1                 1
                                                ≤                 dx ≤ 1
                                              2         1       x


V63.0121.002.2010Su, Calculus I (NYU)    Section 5.3 Evaluating Definite Integrals    June 21, 2010   31 / 44
Computing an integral we estimated before


 Example
                      2
                          1
 Evaluate                   dx.
                  1       x

 Solution


                                                2
                                                    1
                                                      dx
                                            1       x




V63.0121.002.2010Su, Calculus I (NYU)   Section 5.3 Evaluating Definite Integrals   June 21, 2010   32 / 44
Computing an integral we estimated before


 Example
                      2
                          1
 Evaluate                   dx.
                  1       x

 Solution


                                                2
                                                    1
                                                      dx = ln x|2
                                                                1
                                            1       x




V63.0121.002.2010Su, Calculus I (NYU)   Section 5.3 Evaluating Definite Integrals   June 21, 2010   32 / 44
Computing an integral we estimated before


 Example
                      2
                          1
 Evaluate                   dx.
                  1       x

 Solution


                                                2
                                                    1
                                                      dx = ln x|2
                                                                1
                                            1       x
                                                         = ln 2 − ln 1




V63.0121.002.2010Su, Calculus I (NYU)   Section 5.3 Evaluating Definite Integrals   June 21, 2010   32 / 44
Computing an integral we estimated before


 Example
                      2
                          1
 Evaluate                   dx.
                  1       x

 Solution


                                                2
                                                    1
                                                      dx = ln x|2
                                                                1
                                            1       x
                                                         = ln 2 − ln 1
                                                         = ln 2




V63.0121.002.2010Su, Calculus I (NYU)   Section 5.3 Evaluating Definite Integrals   June 21, 2010   32 / 44
Outline

 Last time: The Definite Integral
    The definite integral as a limit
    Properties of the integral
    Comparison Properties of the Integral

 Evaluating Definite Integrals
    Examples

 The Integral as Total Change

 Indefinite Integrals
    My first table of integrals

 Computing Area with integrals


V63.0121.002.2010Su, Calculus I (NYU)   Section 5.3 Evaluating Definite Integrals   June 21, 2010   33 / 44
The Integral as Total Change


 Another way to state this theorem is:
                                            b
                                                F (x) dx = F (b) − F (a),
                                        a

 or the integral of a derivative along an interval is the total change between
 the sides of that interval. This has many ramifications:




V63.0121.002.2010Su, Calculus I (NYU)       Section 5.3 Evaluating Definite Integrals   June 21, 2010   34 / 44
The Integral as Total Change


 Another way to state this theorem is:
                                            b
                                                F (x) dx = F (b) − F (a),
                                        a

 or the integral of a derivative along an interval is the total change between
 the sides of that interval. This has many ramifications:

 Theorem
 If v (t) represents the velocity of a particle moving rectilinearly, then
                                            t1
                                                 v (t) dt = s(t1 ) − s(t0 ).
                                        t0




V63.0121.002.2010Su, Calculus I (NYU)       Section 5.3 Evaluating Definite Integrals   June 21, 2010   34 / 44
The Integral as Total Change


 Another way to state this theorem is:
                                            b
                                                F (x) dx = F (b) − F (a),
                                        a

 or the integral of a derivative along an interval is the total change between
 the sides of that interval. This has many ramifications:

 Theorem
 If MC (x) represents the marginal cost of making x units of a product, then
                                                                       x
                                   C (x) = C (0) +                         MC (q) dq.
                                                                   0




V63.0121.002.2010Su, Calculus I (NYU)       Section 5.3 Evaluating Definite Integrals    June 21, 2010   34 / 44
The Integral as Total Change


 Another way to state this theorem is:
                                            b
                                                F (x) dx = F (b) − F (a),
                                        a

 or the integral of a derivative along an interval is the total change between
 the sides of that interval. This has many ramifications:

 Theorem
 If ρ(x) represents the density of a thin rod at a distance of x from its end,
 then the mass of the rod up to x is
                                                                   x
                                                m(x) =                 ρ(s) ds.
                                                               0


V63.0121.002.2010Su, Calculus I (NYU)       Section 5.3 Evaluating Definite Integrals   June 21, 2010   34 / 44
Outline

 Last time: The Definite Integral
    The definite integral as a limit
    Properties of the integral
    Comparison Properties of the Integral

 Evaluating Definite Integrals
    Examples

 The Integral as Total Change

 Indefinite Integrals
    My first table of integrals

 Computing Area with integrals


V63.0121.002.2010Su, Calculus I (NYU)   Section 5.3 Evaluating Definite Integrals   June 21, 2010   35 / 44
A new notation for antiderivatives



 To emphasize the relationship between antidifferentiation and integration,
 we use the indefinite integral notation

                                                        f (x) dx

 for any function whose derivative is f (x).




V63.0121.002.2010Su, Calculus I (NYU)   Section 5.3 Evaluating Definite Integrals   June 21, 2010   36 / 44
A new notation for antiderivatives



 To emphasize the relationship between antidifferentiation and integration,
 we use the indefinite integral notation

                                                        f (x) dx

 for any function whose derivative is f (x). Thus

                                               x 2 dx = 1 x 3 + C .
                                                        3




V63.0121.002.2010Su, Calculus I (NYU)   Section 5.3 Evaluating Definite Integrals   June 21, 2010   36 / 44
My first table of integrals


          [f (x) + g (x)] dx =          f (x) dx +      g (x) dx

                          x n+1
               x n dx =           + C (n = −1)                          cf (x) dx = c   f (x) dx
                          n+1
                                                                            1
                        e x dx = e x + C                                      dx = ln |x| + C
                                                                            x
                                                                                     ax
                   sin x dx = − cos x + C                                   ax dx =       +C
                                                                                    ln a

                     cos x dx = sin x + C                              csc2 x dx = − cot x + C

                    sec2 x dx = tan x + C                            csc x cot x dx = − csc x + C
                                                                           1
                 sec x tan x dx = sec x + C                          √          dx = arcsin x + C
                                                                         1 − x2
                   1
                        dx = arctan x + C
                 1 + x2



V63.0121.002.2010Su, Calculus I (NYU)    Section 5.3 Evaluating Definite Integrals           June 21, 2010   37 / 44
Outline

 Last time: The Definite Integral
    The definite integral as a limit
    Properties of the integral
    Comparison Properties of the Integral

 Evaluating Definite Integrals
    Examples

 The Integral as Total Change

 Indefinite Integrals
    My first table of integrals

 Computing Area with integrals


V63.0121.002.2010Su, Calculus I (NYU)   Section 5.3 Evaluating Definite Integrals   June 21, 2010   38 / 44
Example
 Find the area between the graph of y = (x − 1)(x − 2), the x-axis, and the
 vertical lines x = 0 and x = 3.




V63.0121.002.2010Su, Calculus I (NYU)   Section 5.3 Evaluating Definite Integrals   June 21, 2010   39 / 44
Example
 Find the area between the graph of y = (x − 1)(x − 2), the x-axis, and the
 vertical lines x = 0 and x = 3.

 Solution
                      3
 Consider                 (x − 1)(x − 2) dx.
                  0




V63.0121.002.2010Su, Calculus I (NYU)   Section 5.3 Evaluating Definite Integrals   June 21, 2010   39 / 44
Graph

                    y




                                                                                             x
                                           1                         2             3


V63.0121.002.2010Su, Calculus I (NYU)   Section 5.3 Evaluating Definite Integrals       June 21, 2010   40 / 44
Example
 Find the area between the graph of y = (x − 1)(x − 2), the x-axis, and the
 vertical lines x = 0 and x = 3.

 Solution
                      3
 Consider                 (x − 1)(x − 2) dx. Notice the integrand is positive on [0, 1)
                  0
 and (2, 3], and negative on (1, 2).




V63.0121.002.2010Su, Calculus I (NYU)   Section 5.3 Evaluating Definite Integrals   June 21, 2010   41 / 44
Example
 Find the area between the graph of y = (x − 1)(x − 2), the x-axis, and the
 vertical lines x = 0 and x = 3.

 Solution
                      3
 Consider                 (x − 1)(x − 2) dx. Notice the integrand is positive on [0, 1)
                  0
 and (2, 3], and negative on (1, 2). If we want the area of the region, we
 have to do
             1                                        2                                          3
  A=             (x − 1)(x − 2) dx −                      (x − 1)(x − 2) dx +                        (x − 1)(x − 2) dx
           0                                       1                                         2
           1 3                          1                                    2                                     3
      =    3x     − 2 x 2 + 2x
                    3
                                        0
                                            −    1 3
                                                 3x       − 3 x 2 + 2x
                                                            2                1
                                                                                 +     1 3
                                                                                       3x    − 2 x 2 + 2x
                                                                                               3
                                                                                                                   2
          5     1                 5  11
      =     − −               +     = .
          6     6                 6   6



V63.0121.002.2010Su, Calculus I (NYU)       Section 5.3 Evaluating Definite Integrals                    June 21, 2010   41 / 44
Interpretation of “negative area” in motion




 There is an analog in rectlinear motion:
            t1
                  v (t) dt is net distance traveled.
           t0
             t1
                  |v (t)| dt is total distance traveled.
           t0




V63.0121.002.2010Su, Calculus I (NYU)   Section 5.3 Evaluating Definite Integrals   June 21, 2010   42 / 44
What about the constant?


         It seems we forgot about the +C when we say for instance
                                            1                    1
                                                           x4            1     1
                                                x 3 dx =             =     −0=
                                        0                  4     0       4     4

         But notice
                                    1
                       x4                        1                                 1         1
                          +C            =          +C       − (0 + C ) =             +C −C =
                       4            0            4                                 4         4

         no matter what C is.
         So in antidifferentiation for definite integrals, the constant is
         immaterial.



V63.0121.002.2010Su, Calculus I (NYU)   Section 5.3 Evaluating Definite Integrals         June 21, 2010   43 / 44
Summary



         The second Fundamental Theorem of Calculus:
                                               b
                                                   f (x) dx = F (b) − F (a)
                                           a

         where F = f .
         Definite integrals represent net change of a function over an interval.
         We write antiderivatives as indefinite integrals                           f (x) dx




V63.0121.002.2010Su, Calculus I (NYU)   Section 5.3 Evaluating Definite Integrals       June 21, 2010   44 / 44

Más contenido relacionado

La actualidad más candente

Lesson18 -maximum_and_minimum_values_slides
Lesson18  -maximum_and_minimum_values_slidesLesson18  -maximum_and_minimum_values_slides
Lesson18 -maximum_and_minimum_values_slides
Matthew Leingang
 
Add Maths Module
Add Maths ModuleAdd Maths Module
Add Maths Module
bspm
 
11 X1 T05 01 division of an interval (2010)
11 X1 T05 01 division of an interval (2010)11 X1 T05 01 division of an interval (2010)
11 X1 T05 01 division of an interval (2010)
Nigel Simmons
 
Chapter 1 functions
Chapter 1  functionsChapter 1  functions
Chapter 1 functions
Umair Pearl
 
Generalization of Compositons of Cellular Automata on Groups
Generalization of Compositons of Cellular Automata on GroupsGeneralization of Compositons of Cellular Automata on Groups
Generalization of Compositons of Cellular Automata on Groups
Yoshihiro Mizoguchi
 
Lesson 25: The Fundamental Theorem of Calculus (handout)
Lesson 25: The Fundamental Theorem of Calculus (handout)Lesson 25: The Fundamental Theorem of Calculus (handout)
Lesson 25: The Fundamental Theorem of Calculus (handout)
Matthew Leingang
 

La actualidad más candente (17)

Section2 stochastic
Section2 stochasticSection2 stochastic
Section2 stochastic
 
Chapter2: Likelihood-based approach
Chapter2: Likelihood-based approach Chapter2: Likelihood-based approach
Chapter2: Likelihood-based approach
 
Lesson18 -maximum_and_minimum_values_slides
Lesson18  -maximum_and_minimum_values_slidesLesson18  -maximum_and_minimum_values_slides
Lesson18 -maximum_and_minimum_values_slides
 
Expectation Maximization Algorithm with Combinatorial Assumption
Expectation Maximization Algorithm with Combinatorial AssumptionExpectation Maximization Algorithm with Combinatorial Assumption
Expectation Maximization Algorithm with Combinatorial Assumption
 
Some Generalized I nformation Inequalities
Some Generalized I nformation InequalitiesSome Generalized I nformation Inequalities
Some Generalized I nformation Inequalities
 
Predictive mean-matching2
Predictive mean-matching2Predictive mean-matching2
Predictive mean-matching2
 
Add Maths Module
Add Maths ModuleAdd Maths Module
Add Maths Module
 
Problems and solutions_4
Problems and solutions_4Problems and solutions_4
Problems and solutions_4
 
Soal latihan quiz
Soal latihan quizSoal latihan quiz
Soal latihan quiz
 
11 X1 T05 01 division of an interval (2010)
11 X1 T05 01 division of an interval (2010)11 X1 T05 01 division of an interval (2010)
11 X1 T05 01 division of an interval (2010)
 
Chapter 1 functions
Chapter 1  functionsChapter 1  functions
Chapter 1 functions
 
Generalization of Compositons of Cellular Automata on Groups
Generalization of Compositons of Cellular Automata on GroupsGeneralization of Compositons of Cellular Automata on Groups
Generalization of Compositons of Cellular Automata on Groups
 
College algebra 7th edition by blitzer solution manual
College algebra 7th edition by blitzer solution manualCollege algebra 7th edition by blitzer solution manual
College algebra 7th edition by blitzer solution manual
 
Lesson 25: The Fundamental Theorem of Calculus (handout)
Lesson 25: The Fundamental Theorem of Calculus (handout)Lesson 25: The Fundamental Theorem of Calculus (handout)
Lesson 25: The Fundamental Theorem of Calculus (handout)
 
wzhu_paper
wzhu_paperwzhu_paper
wzhu_paper
 
Sixth order hybrid block method for the numerical solution of first order ini...
Sixth order hybrid block method for the numerical solution of first order ini...Sixth order hybrid block method for the numerical solution of first order ini...
Sixth order hybrid block method for the numerical solution of first order ini...
 
Form 4 add maths note
Form 4 add maths noteForm 4 add maths note
Form 4 add maths note
 

Destacado

Lesson 24: Area and Distances
Lesson 24: Area and DistancesLesson 24: Area and Distances
Lesson 24: Area and Distances
Matthew Leingang
 
4.3 The Definite Integral
4.3 The Definite Integral4.3 The Definite Integral
4.3 The Definite Integral
Sharon Henry
 
Lesson 28: Integration by Subsitution
Lesson 28: Integration by SubsitutionLesson 28: Integration by Subsitution
Lesson 28: Integration by Subsitution
Matthew Leingang
 
Lesson 19: The Mean Value Theorem
Lesson 19: The Mean Value TheoremLesson 19: The Mean Value Theorem
Lesson 19: The Mean Value Theorem
Matthew Leingang
 
Lesson 23: Antiderivatives
Lesson 23: AntiderivativesLesson 23: Antiderivatives
Lesson 23: Antiderivatives
Matthew Leingang
 
Lesson 20: Derivatives and the shapes of curves
Lesson 20: Derivatives and the shapes of curvesLesson 20: Derivatives and the shapes of curves
Lesson 20: Derivatives and the shapes of curves
Matthew Leingang
 
Lesson 17: Indeterminate Forms and L'Hôpital's Rule
Lesson 17: Indeterminate Forms and L'Hôpital's RuleLesson 17: Indeterminate Forms and L'Hôpital's Rule
Lesson 17: Indeterminate Forms and L'Hôpital's Rule
Matthew Leingang
 
Lesson 16: Inverse Trigonometric Functions
Lesson 16: Inverse Trigonometric FunctionsLesson 16: Inverse Trigonometric Functions
Lesson 16: Inverse Trigonometric Functions
Matthew Leingang
 
Lesson 27: The Fundamental Theorem of Calculus
Lesson 27: The Fundamental Theorem of CalculusLesson 27: The Fundamental Theorem of Calculus
Lesson 27: The Fundamental Theorem of Calculus
Matthew Leingang
 
Silberberg Chemistry Molecular Nature Of Matter And Change 4e Copy2
Silberberg   Chemistry   Molecular Nature Of Matter And Change 4e   Copy2Silberberg   Chemistry   Molecular Nature Of Matter And Change 4e   Copy2
Silberberg Chemistry Molecular Nature Of Matter And Change 4e Copy2
jeksespina
 
Lesson 13: Related Rates Problems
Lesson 13: Related Rates ProblemsLesson 13: Related Rates Problems
Lesson 13: Related Rates Problems
Matthew Leingang
 
Lesson 25: The Definite Integral
Lesson 25: The Definite IntegralLesson 25: The Definite Integral
Lesson 25: The Definite Integral
Matthew Leingang
 
Lesson 21: Curve Sketching
Lesson 21: Curve SketchingLesson 21: Curve Sketching
Lesson 21: Curve Sketching
Matthew Leingang
 

Destacado (20)

Lesson 24: Area and Distances
Lesson 24: Area and DistancesLesson 24: Area and Distances
Lesson 24: Area and Distances
 
Lesson 30: The Definite Integral
Lesson 30: The  Definite  IntegralLesson 30: The  Definite  Integral
Lesson 30: The Definite Integral
 
Lesson 26: The Definite Integral
Lesson 26: The Definite IntegralLesson 26: The Definite Integral
Lesson 26: The Definite Integral
 
Integral Rules
Integral RulesIntegral Rules
Integral Rules
 
Larson 4.1
Larson 4.1Larson 4.1
Larson 4.1
 
4.3 The Definite Integral
4.3 The Definite Integral4.3 The Definite Integral
4.3 The Definite Integral
 
Introduction
IntroductionIntroduction
Introduction
 
Lesson 28: Integration by Subsitution
Lesson 28: Integration by SubsitutionLesson 28: Integration by Subsitution
Lesson 28: Integration by Subsitution
 
Lesson 19: The Mean Value Theorem
Lesson 19: The Mean Value TheoremLesson 19: The Mean Value Theorem
Lesson 19: The Mean Value Theorem
 
Lesson 23: Antiderivatives
Lesson 23: AntiderivativesLesson 23: Antiderivatives
Lesson 23: Antiderivatives
 
Lesson 20: Derivatives and the shapes of curves
Lesson 20: Derivatives and the shapes of curvesLesson 20: Derivatives and the shapes of curves
Lesson 20: Derivatives and the shapes of curves
 
Lesson 17: Indeterminate Forms and L'Hôpital's Rule
Lesson 17: Indeterminate Forms and L'Hôpital's RuleLesson 17: Indeterminate Forms and L'Hôpital's Rule
Lesson 17: Indeterminate Forms and L'Hôpital's Rule
 
Lesson 16: Inverse Trigonometric Functions
Lesson 16: Inverse Trigonometric FunctionsLesson 16: Inverse Trigonometric Functions
Lesson 16: Inverse Trigonometric Functions
 
Lesson 1: Functions
Lesson 1: FunctionsLesson 1: Functions
Lesson 1: Functions
 
Lesson 27: The Fundamental Theorem of Calculus
Lesson 27: The Fundamental Theorem of CalculusLesson 27: The Fundamental Theorem of Calculus
Lesson 27: The Fundamental Theorem of Calculus
 
Silberberg Chemistry Molecular Nature Of Matter And Change 4e Copy2
Silberberg   Chemistry   Molecular Nature Of Matter And Change 4e   Copy2Silberberg   Chemistry   Molecular Nature Of Matter And Change 4e   Copy2
Silberberg Chemistry Molecular Nature Of Matter And Change 4e Copy2
 
Lesson 13: Related Rates Problems
Lesson 13: Related Rates ProblemsLesson 13: Related Rates Problems
Lesson 13: Related Rates Problems
 
Lesson 25: The Definite Integral
Lesson 25: The Definite IntegralLesson 25: The Definite Integral
Lesson 25: The Definite Integral
 
İntegral 04
İntegral 04İntegral 04
İntegral 04
 
Lesson 21: Curve Sketching
Lesson 21: Curve SketchingLesson 21: Curve Sketching
Lesson 21: Curve Sketching
 

Similar a Lesson 26: Evaluating Definite Integrals

Lesson 25: The Fundamental Theorem of Calculus
Lesson 25: The Fundamental Theorem of CalculusLesson 25: The Fundamental Theorem of Calculus
Lesson 25: The Fundamental Theorem of Calculus
Matthew Leingang
 
Lesson 19: Curve Sketching
Lesson 19: Curve SketchingLesson 19: Curve Sketching
Lesson 19: Curve Sketching
Matthew Leingang
 
Lesson 27: The Fundamental Theorem of Calculus
Lesson 27: The Fundamental Theorem of Calculus Lesson 27: The Fundamental Theorem of Calculus
Lesson 27: The Fundamental Theorem of Calculus
Mel Anthony Pepito
 
Lesson 28: Integration by Subsitution
Lesson 28: Integration by SubsitutionLesson 28: Integration by Subsitution
Lesson 28: Integration by Subsitution
Mel Anthony Pepito
 
Lesson 18: Derivatives and the Shapes of Curves
Lesson 18: Derivatives and the Shapes of CurvesLesson 18: Derivatives and the Shapes of Curves
Lesson 18: Derivatives and the Shapes of Curves
Matthew Leingang
 

Similar a Lesson 26: Evaluating Definite Integrals (20)

Lesson 25: Evaluating Definite Integrals (Section 041 slides)
Lesson 25: Evaluating Definite Integrals (Section 041 slides)Lesson 25: Evaluating Definite Integrals (Section 041 slides)
Lesson 25: Evaluating Definite Integrals (Section 041 slides)
 
Lesson 25: Evaluating Definite Integrals (Section 021 handout)
Lesson 25: Evaluating Definite Integrals (Section 021 handout)Lesson 25: Evaluating Definite Integrals (Section 021 handout)
Lesson 25: Evaluating Definite Integrals (Section 021 handout)
 
Lesson 25: The Fundamental Theorem of Calculus
Lesson 25: The Fundamental Theorem of CalculusLesson 25: The Fundamental Theorem of Calculus
Lesson 25: The Fundamental Theorem of Calculus
 
Lesson 19: Curve Sketching
Lesson 19: Curve SketchingLesson 19: Curve Sketching
Lesson 19: Curve Sketching
 
Lesson 21: Curve Sketching (Section 041 slides)
Lesson 21: Curve Sketching (Section 041 slides)Lesson 21: Curve Sketching (Section 041 slides)
Lesson 21: Curve Sketching (Section 041 slides)
 
Lesson 21: Curve Sketching
Lesson 21: Curve SketchingLesson 21: Curve Sketching
Lesson 21: Curve Sketching
 
Lesson 26: The Fundamental Theorem of Calculus (Section 041 slides)
Lesson 26: The Fundamental Theorem of Calculus (Section 041 slides)Lesson 26: The Fundamental Theorem of Calculus (Section 041 slides)
Lesson 26: The Fundamental Theorem of Calculus (Section 041 slides)
 
Lesson 26: The Fundamental Theorem of Calculus (Section 041 slides)
Lesson 26: The Fundamental Theorem of Calculus (Section 041 slides)Lesson 26: The Fundamental Theorem of Calculus (Section 041 slides)
Lesson 26: The Fundamental Theorem of Calculus (Section 041 slides)
 
Lesson 21: Curve Sketching (Section 041 handout)
Lesson 21: Curve Sketching (Section 041 handout)Lesson 21: Curve Sketching (Section 041 handout)
Lesson 21: Curve Sketching (Section 041 handout)
 
Lesson 20: Derivatives and the Shape of Curves (Section 041 slides)
Lesson 20: Derivatives and the Shape of Curves (Section 041 slides)Lesson 20: Derivatives and the Shape of Curves (Section 041 slides)
Lesson 20: Derivatives and the Shape of Curves (Section 041 slides)
 
Lesson 27: The Fundamental Theorem of Calculus
Lesson 27: The Fundamental Theorem of Calculus Lesson 27: The Fundamental Theorem of Calculus
Lesson 27: The Fundamental Theorem of Calculus
 
Final Exam Review (Integration)
Final Exam Review (Integration)Final Exam Review (Integration)
Final Exam Review (Integration)
 
Lesson 26: The Fundamental Theorem of Calculus (Section 021 slides)
Lesson 26: The Fundamental Theorem of Calculus (Section 021 slides)Lesson 26: The Fundamental Theorem of Calculus (Section 021 slides)
Lesson 26: The Fundamental Theorem of Calculus (Section 021 slides)
 
Lesson 26: The Fundamental Theorem of Calculus (Section 021 slides)
Lesson 26: The Fundamental Theorem of Calculus (Section 021 slides)Lesson 26: The Fundamental Theorem of Calculus (Section 021 slides)
Lesson 26: The Fundamental Theorem of Calculus (Section 021 slides)
 
Lesson 26: The Fundamental Theorem of Calculus (Section 041 handout)
Lesson 26: The Fundamental Theorem of Calculus (Section 041 handout)Lesson 26: The Fundamental Theorem of Calculus (Section 041 handout)
Lesson 26: The Fundamental Theorem of Calculus (Section 041 handout)
 
Lesson 26: Integration by Substitution (slides)
Lesson 26: Integration by Substitution (slides)Lesson 26: Integration by Substitution (slides)
Lesson 26: Integration by Substitution (slides)
 
Lesson 19: The Mean Value Theorem (Section 041 handout)
Lesson 19: The Mean Value Theorem (Section 041 handout)Lesson 19: The Mean Value Theorem (Section 041 handout)
Lesson 19: The Mean Value Theorem (Section 041 handout)
 
Lesson 28: Integration by Subsitution
Lesson 28: Integration by SubsitutionLesson 28: Integration by Subsitution
Lesson 28: Integration by Subsitution
 
Lesson 18: Derivatives and the Shapes of Curves
Lesson 18: Derivatives and the Shapes of CurvesLesson 18: Derivatives and the Shapes of Curves
Lesson 18: Derivatives and the Shapes of Curves
 
Lesson 21: Curve Sketching (Section 041 slides)
Lesson 21: Curve Sketching (Section 041 slides)Lesson 21: Curve Sketching (Section 041 slides)
Lesson 21: Curve Sketching (Section 041 slides)
 

Más de Matthew Leingang

Más de Matthew Leingang (20)

Making Lesson Plans
Making Lesson PlansMaking Lesson Plans
Making Lesson Plans
 
Streamlining assessment, feedback, and archival with auto-multiple-choice
Streamlining assessment, feedback, and archival with auto-multiple-choiceStreamlining assessment, feedback, and archival with auto-multiple-choice
Streamlining assessment, feedback, and archival with auto-multiple-choice
 
Electronic Grading of Paper Assessments
Electronic Grading of Paper AssessmentsElectronic Grading of Paper Assessments
Electronic Grading of Paper Assessments
 
Lesson 27: Integration by Substitution (slides)
Lesson 27: Integration by Substitution (slides)Lesson 27: Integration by Substitution (slides)
Lesson 27: Integration by Substitution (slides)
 
Lesson 26: The Fundamental Theorem of Calculus (slides)
Lesson 26: The Fundamental Theorem of Calculus (slides)Lesson 26: The Fundamental Theorem of Calculus (slides)
Lesson 26: The Fundamental Theorem of Calculus (slides)
 
Lesson 26: The Fundamental Theorem of Calculus (slides)
Lesson 26: The Fundamental Theorem of Calculus (slides)Lesson 26: The Fundamental Theorem of Calculus (slides)
Lesson 26: The Fundamental Theorem of Calculus (slides)
 
Lesson 27: Integration by Substitution (handout)
Lesson 27: Integration by Substitution (handout)Lesson 27: Integration by Substitution (handout)
Lesson 27: Integration by Substitution (handout)
 
Lesson 26: The Fundamental Theorem of Calculus (handout)
Lesson 26: The Fundamental Theorem of Calculus (handout)Lesson 26: The Fundamental Theorem of Calculus (handout)
Lesson 26: The Fundamental Theorem of Calculus (handout)
 
Lesson 25: Evaluating Definite Integrals (slides)
Lesson 25: Evaluating Definite Integrals (slides)Lesson 25: Evaluating Definite Integrals (slides)
Lesson 25: Evaluating Definite Integrals (slides)
 
Lesson 25: Evaluating Definite Integrals (handout)
Lesson 25: Evaluating Definite Integrals (handout)Lesson 25: Evaluating Definite Integrals (handout)
Lesson 25: Evaluating Definite Integrals (handout)
 
Lesson 24: Areas and Distances, The Definite Integral (handout)
Lesson 24: Areas and Distances, The Definite Integral (handout)Lesson 24: Areas and Distances, The Definite Integral (handout)
Lesson 24: Areas and Distances, The Definite Integral (handout)
 
Lesson 24: Areas and Distances, The Definite Integral (slides)
Lesson 24: Areas and Distances, The Definite Integral (slides)Lesson 24: Areas and Distances, The Definite Integral (slides)
Lesson 24: Areas and Distances, The Definite Integral (slides)
 
Lesson 23: Antiderivatives (slides)
Lesson 23: Antiderivatives (slides)Lesson 23: Antiderivatives (slides)
Lesson 23: Antiderivatives (slides)
 
Lesson 23: Antiderivatives (slides)
Lesson 23: Antiderivatives (slides)Lesson 23: Antiderivatives (slides)
Lesson 23: Antiderivatives (slides)
 
Lesson 22: Optimization Problems (slides)
Lesson 22: Optimization Problems (slides)Lesson 22: Optimization Problems (slides)
Lesson 22: Optimization Problems (slides)
 
Lesson 22: Optimization Problems (handout)
Lesson 22: Optimization Problems (handout)Lesson 22: Optimization Problems (handout)
Lesson 22: Optimization Problems (handout)
 
Lesson 21: Curve Sketching (slides)
Lesson 21: Curve Sketching (slides)Lesson 21: Curve Sketching (slides)
Lesson 21: Curve Sketching (slides)
 
Lesson 21: Curve Sketching (handout)
Lesson 21: Curve Sketching (handout)Lesson 21: Curve Sketching (handout)
Lesson 21: Curve Sketching (handout)
 
Lesson 20: Derivatives and the Shapes of Curves (slides)
Lesson 20: Derivatives and the Shapes of Curves (slides)Lesson 20: Derivatives and the Shapes of Curves (slides)
Lesson 20: Derivatives and the Shapes of Curves (slides)
 
Lesson 20: Derivatives and the Shapes of Curves (handout)
Lesson 20: Derivatives and the Shapes of Curves (handout)Lesson 20: Derivatives and the Shapes of Curves (handout)
Lesson 20: Derivatives and the Shapes of Curves (handout)
 

Último

Architecting Cloud Native Applications
Architecting Cloud Native ApplicationsArchitecting Cloud Native Applications
Architecting Cloud Native Applications
WSO2
 
+971581248768>> SAFE AND ORIGINAL ABORTION PILLS FOR SALE IN DUBAI AND ABUDHA...
+971581248768>> SAFE AND ORIGINAL ABORTION PILLS FOR SALE IN DUBAI AND ABUDHA...+971581248768>> SAFE AND ORIGINAL ABORTION PILLS FOR SALE IN DUBAI AND ABUDHA...
+971581248768>> SAFE AND ORIGINAL ABORTION PILLS FOR SALE IN DUBAI AND ABUDHA...
?#DUbAI#??##{{(☎️+971_581248768%)**%*]'#abortion pills for sale in dubai@
 
Why Teams call analytics are critical to your entire business
Why Teams call analytics are critical to your entire businessWhy Teams call analytics are critical to your entire business
Why Teams call analytics are critical to your entire business
panagenda
 

Último (20)

Apidays New York 2024 - APIs in 2030: The Risk of Technological Sleepwalk by ...
Apidays New York 2024 - APIs in 2030: The Risk of Technological Sleepwalk by ...Apidays New York 2024 - APIs in 2030: The Risk of Technological Sleepwalk by ...
Apidays New York 2024 - APIs in 2030: The Risk of Technological Sleepwalk by ...
 
Strategize a Smooth Tenant-to-tenant Migration and Copilot Takeoff
Strategize a Smooth Tenant-to-tenant Migration and Copilot TakeoffStrategize a Smooth Tenant-to-tenant Migration and Copilot Takeoff
Strategize a Smooth Tenant-to-tenant Migration and Copilot Takeoff
 
DBX First Quarter 2024 Investor Presentation
DBX First Quarter 2024 Investor PresentationDBX First Quarter 2024 Investor Presentation
DBX First Quarter 2024 Investor Presentation
 
Architecting Cloud Native Applications
Architecting Cloud Native ApplicationsArchitecting Cloud Native Applications
Architecting Cloud Native Applications
 
Corporate and higher education May webinar.pptx
Corporate and higher education May webinar.pptxCorporate and higher education May webinar.pptx
Corporate and higher education May webinar.pptx
 
+971581248768>> SAFE AND ORIGINAL ABORTION PILLS FOR SALE IN DUBAI AND ABUDHA...
+971581248768>> SAFE AND ORIGINAL ABORTION PILLS FOR SALE IN DUBAI AND ABUDHA...+971581248768>> SAFE AND ORIGINAL ABORTION PILLS FOR SALE IN DUBAI AND ABUDHA...
+971581248768>> SAFE AND ORIGINAL ABORTION PILLS FOR SALE IN DUBAI AND ABUDHA...
 
Understanding the FAA Part 107 License ..
Understanding the FAA Part 107 License ..Understanding the FAA Part 107 License ..
Understanding the FAA Part 107 License ..
 
Repurposing LNG terminals for Hydrogen Ammonia: Feasibility and Cost Saving
Repurposing LNG terminals for Hydrogen Ammonia: Feasibility and Cost SavingRepurposing LNG terminals for Hydrogen Ammonia: Feasibility and Cost Saving
Repurposing LNG terminals for Hydrogen Ammonia: Feasibility and Cost Saving
 
FWD Group - Insurer Innovation Award 2024
FWD Group - Insurer Innovation Award 2024FWD Group - Insurer Innovation Award 2024
FWD Group - Insurer Innovation Award 2024
 
Rising Above_ Dubai Floods and the Fortitude of Dubai International Airport.pdf
Rising Above_ Dubai Floods and the Fortitude of Dubai International Airport.pdfRising Above_ Dubai Floods and the Fortitude of Dubai International Airport.pdf
Rising Above_ Dubai Floods and the Fortitude of Dubai International Airport.pdf
 
Platformless Horizons for Digital Adaptability
Platformless Horizons for Digital AdaptabilityPlatformless Horizons for Digital Adaptability
Platformless Horizons for Digital Adaptability
 
Vector Search -An Introduction in Oracle Database 23ai.pptx
Vector Search -An Introduction in Oracle Database 23ai.pptxVector Search -An Introduction in Oracle Database 23ai.pptx
Vector Search -An Introduction in Oracle Database 23ai.pptx
 
[BuildWithAI] Introduction to Gemini.pdf
[BuildWithAI] Introduction to Gemini.pdf[BuildWithAI] Introduction to Gemini.pdf
[BuildWithAI] Introduction to Gemini.pdf
 
"I see eyes in my soup": How Delivery Hero implemented the safety system for ...
"I see eyes in my soup": How Delivery Hero implemented the safety system for ..."I see eyes in my soup": How Delivery Hero implemented the safety system for ...
"I see eyes in my soup": How Delivery Hero implemented the safety system for ...
 
JohnPollard-hybrid-app-RailsConf2024.pptx
JohnPollard-hybrid-app-RailsConf2024.pptxJohnPollard-hybrid-app-RailsConf2024.pptx
JohnPollard-hybrid-app-RailsConf2024.pptx
 
MINDCTI Revenue Release Quarter One 2024
MINDCTI Revenue Release Quarter One 2024MINDCTI Revenue Release Quarter One 2024
MINDCTI Revenue Release Quarter One 2024
 
Strategies for Landing an Oracle DBA Job as a Fresher
Strategies for Landing an Oracle DBA Job as a FresherStrategies for Landing an Oracle DBA Job as a Fresher
Strategies for Landing an Oracle DBA Job as a Fresher
 
TrustArc Webinar - Unlock the Power of AI-Driven Data Discovery
TrustArc Webinar - Unlock the Power of AI-Driven Data DiscoveryTrustArc Webinar - Unlock the Power of AI-Driven Data Discovery
TrustArc Webinar - Unlock the Power of AI-Driven Data Discovery
 
Why Teams call analytics are critical to your entire business
Why Teams call analytics are critical to your entire businessWhy Teams call analytics are critical to your entire business
Why Teams call analytics are critical to your entire business
 
Artificial Intelligence Chap.5 : Uncertainty
Artificial Intelligence Chap.5 : UncertaintyArtificial Intelligence Chap.5 : Uncertainty
Artificial Intelligence Chap.5 : Uncertainty
 

Lesson 26: Evaluating Definite Integrals

  • 1. Section 5.3 Evaluating Definite Integrals V63.0121.002.2010Su, Calculus I New York University June 21, 2010 Announcements Final Exam is Thursday in class
  • 2. Announcements Sections 5.3–5.4 today Section 5.5 tomorrow Review and Movie Day Wednesday Final exam Thursday roughly half-and-half MC/FR FR is all post-midterm MC might have some pre-midterm stuff on it V63.0121.002.2010Su, Calculus I (NYU) Section 5.3 Evaluating Definite Integrals June 21, 2010 2 / 44
  • 3. Resurrection Policy If your final score beats your midterm score, we will add 10% to its weight, and subtract 10% from the midterm weight. Image credit: Scott Beale / Laughing Squid V63.0121.002.2010Su, Calculus I (NYU) Section 5.3 Evaluating Definite Integrals June 21, 2010 3 / 44
  • 4. Objectives Use the Evaluation Theorem to evaluate definite integrals. Write antiderivatives as indefinite integrals. Interpret definite integrals as “net change” of a function over an interval. V63.0121.002.2010Su, Calculus I (NYU) Section 5.3 Evaluating Definite Integrals June 21, 2010 4 / 44
  • 5. Outline Last time: The Definite Integral The definite integral as a limit Properties of the integral Comparison Properties of the Integral Evaluating Definite Integrals Examples The Integral as Total Change Indefinite Integrals My first table of integrals Computing Area with integrals V63.0121.002.2010Su, Calculus I (NYU) Section 5.3 Evaluating Definite Integrals June 21, 2010 5 / 44
  • 6. The definite integral as a limit Definition If f is a function defined on [a, b], the definite integral of f from a to b is the number b n f (x) dx = lim f (ci ) ∆x a n→∞ i=1 b−a where ∆x = , and for each i, xi = a + i∆x, and ci is a point in n [xi−1 , xi ]. Theorem If f is continuous on [a, b] or if f has only finitely many jump discontinuities, then f is integrable on [a, b]; that is, the definite integral b f (x) dx exists and is the same for any choice of ci . a V63.0121.002.2010Su, Calculus I (NYU) Section 5.3 Evaluating Definite Integrals June 21, 2010 6 / 44
  • 7. Notation/Terminology b f (x) dx a — integral sign (swoopy S) f (x) — integrand a and b — limits of integration (a is the lower limit and b the upper limit) dx — ??? (a parenthesis? an infinitesimal? a variable?) The process of computing an integral is called integration V63.0121.002.2010Su, Calculus I (NYU) Section 5.3 Evaluating Definite Integrals June 21, 2010 7 / 44
  • 8. Example 1 4 Estimate dx using the midpoint rule and four divisions. 0 1 + x2 V63.0121.002.2010Su, Calculus I (NYU) Section 5.3 Evaluating Definite Integrals June 21, 2010 8 / 44
  • 9. Example 1 4 Estimate dx using the midpoint rule and four divisions. 0 1 + x2 Solution Dividing up [0, 1] into 4 pieces gives 1 2 3 4 x0 = 0, x1 = , x2 = , x3 = , x4 = 4 4 4 4 So the midpoint rule gives 1 4 4 4 4 M4 = 2 + 2 + 2 + 4 1 + (1/8) 1 + (3/8) 1 + (5/8) 1 + (7/8)2 V63.0121.002.2010Su, Calculus I (NYU) Section 5.3 Evaluating Definite Integrals June 21, 2010 8 / 44
  • 10. Example 1 4 Estimate dx using the midpoint rule and four divisions. 0 1 + x2 Solution Dividing up [0, 1] into 4 pieces gives 1 2 3 4 x0 = 0, x1 = , x2 = , x3 = , x4 = 4 4 4 4 So the midpoint rule gives 1 4 4 4 4 M4 = 2 + 2 + 2 + 4 1 + (1/8) 1 + (3/8) 1 + (5/8) 1 + (7/8)2 1 4 4 4 4 = + + + 4 65/64 73/64 89/64 113/64 V63.0121.002.2010Su, Calculus I (NYU) Section 5.3 Evaluating Definite Integrals June 21, 2010 8 / 44
  • 11. Example 1 4 Estimate dx using the midpoint rule and four divisions. 0 1 + x2 Solution Dividing up [0, 1] into 4 pieces gives 1 2 3 4 x0 = 0, x1 = , x2 = , x3 = , x4 = 4 4 4 4 So the midpoint rule gives 1 4 4 4 4 M4 = 2 + 2 + 2 + 4 1 + (1/8) 1 + (3/8) 1 + (5/8) 1 + (7/8)2 1 4 4 4 4 = + + + 4 65/64 73/64 89/64 113/64 150, 166, 784 = ≈ 3.1468 47, 720, 465 V63.0121.002.2010Su, Calculus I (NYU) Section 5.3 Evaluating Definite Integrals June 21, 2010 8 / 44
  • 12. Properties of the integral Theorem (Additive Properties of the Integral) Let f and g be integrable functions on [a, b] and c a constant. Then b 1. c dx = c(b − a) a b b b 2. [f (x) + g (x)] dx = f (x) dx + g (x) dx. a a a b b 3. cf (x) dx = c f (x) dx. a a b b b 4. [f (x) − g (x)] dx = f (x) dx − g (x) dx. a a a V63.0121.002.2010Su, Calculus I (NYU) Section 5.3 Evaluating Definite Integrals June 21, 2010 9 / 44
  • 13. More Properties of the Integral Conventions: a b f (x) dx = − f (x) dx b a a f (x) dx = 0 a This allows us to have c b c 5. f (x) dx = f (x) dx + f (x) dx for all a, b, and c. a a b V63.0121.002.2010Su, Calculus I (NYU) Section 5.3 Evaluating Definite Integrals June 21, 2010 10 / 44
  • 14. Definite Integrals We Know So Far If the integral computes an area and we know the area, we can use that. For y instance, 1 π 1 − x 2 dx = 0 2 By brute force we computed x 1 1 1 1 x 2 dx = x 3 dx = 0 3 0 4 V63.0121.002.2010Su, Calculus I (NYU) Section 5.3 Evaluating Definite Integrals June 21, 2010 11 / 44
  • 15. Comparison Properties of the Integral Theorem Let f and g be integrable functions on [a, b]. 6. If f (x) ≥ 0 for all x in [a, b], then b f (x) dx ≥ 0 a V63.0121.002.2010Su, Calculus I (NYU) Section 5.3 Evaluating Definite Integrals June 21, 2010 12 / 44
  • 16. Integral of a nonnegative function is nonnegative Proof. If f (x) ≥ 0 for all x in [a, b], then for any number of divisions n and choice of sample points {ci }: n n Sn = f (ci ) ∆x ≥ 0 · ∆x = 0 i=1 ≥0 i=1 Since Sn ≥ 0 for all n, the limit of {Sn } is nonnegative, too: b f (x) dx = lim Sn ≥ 0 a n→∞ ≥0 V63.0121.002.2010Su, Calculus I (NYU) Section 5.3 Evaluating Definite Integrals June 21, 2010 13 / 44
  • 17. Comparison Properties of the Integral Theorem Let f and g be integrable functions on [a, b]. 6. If f (x) ≥ 0 for all x in [a, b], then b f (x) dx ≥ 0 a 7. If f (x) ≥ g (x) for all x in [a, b], then b b f (x) dx ≥ g (x) dx a a V63.0121.002.2010Su, Calculus I (NYU) Section 5.3 Evaluating Definite Integrals June 21, 2010 14 / 44
  • 18. The definite integral is “increasing” Proof. Let h(x) = f (x) − g (x). If f (x) ≥ g (x) for all x in [a, b], then h(x) ≥ 0 for all x in [a, b]. So by the previous property b h(x) dx ≥ 0 a This means that b b b b f (x) dx − g (x) dx = (f (x) − g (x)) dx = h(x) dx ≥ 0 a a a a So b b f (x) dx ≥ g (x) dx a a V63.0121.002.2010Su, Calculus I (NYU) Section 5.3 Evaluating Definite Integrals June 21, 2010 15 / 44
  • 19. Comparison Properties of the Integral Theorem Let f and g be integrable functions on [a, b]. 6. If f (x) ≥ 0 for all x in [a, b], then b f (x) dx ≥ 0 a 7. If f (x) ≥ g (x) for all x in [a, b], then b b f (x) dx ≥ g (x) dx a a 8. If m ≤ f (x) ≤ M for all x in [a, b], then b m(b − a) ≤ f (x) dx ≤ M(b − a) a V63.0121.002.2010Su, Calculus I (NYU) Section 5.3 Evaluating Definite Integrals June 21, 2010 16 / 44
  • 20. Bounding the integral using bounds of the function Proof. If m ≤ f (x) ≤ M on for all x in [a, b], then by the previous property b b b m dx ≤ f (x) dx ≤ M dx a a a By Property 1, the integral of a constant function is the product of the constant and the width of the interval. So: b m(b − a) ≤ f (x) dx ≤ M(b − a) a V63.0121.002.2010Su, Calculus I (NYU) Section 5.3 Evaluating Definite Integrals June 21, 2010 17 / 44
  • 21. Estimating an integral with inequalities Example 2 1 Estimate dx using Property 8. 1 x V63.0121.002.2010Su, Calculus I (NYU) Section 5.3 Evaluating Definite Integrals June 21, 2010 18 / 44
  • 22. Estimating an integral with inequalities Example 2 1 Estimate dx using Property 8. 1 x Solution Since 1 1 1 1 ≤ x ≤ 2 =⇒ ≤ ≤ 2 x 1 we have 2 1 1 · (2 − 1) ≤ dx ≤ 1 · (2 − 1) 2 1 x or 2 1 1 ≤ dx ≤ 1 2 1 x V63.0121.002.2010Su, Calculus I (NYU) Section 5.3 Evaluating Definite Integrals June 21, 2010 18 / 44
  • 23. Outline Last time: The Definite Integral The definite integral as a limit Properties of the integral Comparison Properties of the Integral Evaluating Definite Integrals Examples The Integral as Total Change Indefinite Integrals My first table of integrals Computing Area with integrals V63.0121.002.2010Su, Calculus I (NYU) Section 5.3 Evaluating Definite Integrals June 21, 2010 19 / 44
  • 24. Socratic proof The definite integral of velocity measures displacement (net distance) The derivative of displacement is velocity So we can compute displacement with the definite integral or the antiderivative of velocity But any function can be a velocity function, so . . . V63.0121.002.2010Su, Calculus I (NYU) Section 5.3 Evaluating Definite Integrals June 21, 2010 20 / 44
  • 25. Theorem of the Day Theorem (The Second Fundamental Theorem of Calculus) Suppose f is integrable on [a, b] and f = F for another function F , then b f (x) dx = F (b) − F (a). a V63.0121.002.2010Su, Calculus I (NYU) Section 5.3 Evaluating Definite Integrals June 21, 2010 21 / 44
  • 26. Theorem of the Day Theorem (The Second Fundamental Theorem of Calculus) Suppose f is integrable on [a, b] and f = F for another function F , then b f (x) dx = F (b) − F (a). a Note In Section 5.3, this theorem is called “The Evaluation Theorem”. Nobody else in the world calls it that. V63.0121.002.2010Su, Calculus I (NYU) Section 5.3 Evaluating Definite Integrals June 21, 2010 21 / 44
  • 27. Proving the Second FTC b−a Divide up [a, b] into n pieces of equal width ∆x = as usual. For n each i, F is continuous on [xi−1 , xi ] and differentiable on (xi−1 , xi ). So there is a point ci in (xi−1 , xi ) with F (xi ) − F (xi−1 ) = F (ci ) = f (ci ) xi − xi−1 Or f (ci )∆x = F (xi ) − F (xi−1 ) V63.0121.002.2010Su, Calculus I (NYU) Section 5.3 Evaluating Definite Integrals June 21, 2010 22 / 44
  • 28. Proof continued We have for each i f (ci )∆x = F (xi ) − F (xi−1 ) Form the Riemann Sum: n n Sn = f (ci )∆x = (F (xi ) − F (xi−1 )) i=1 i=1 = (F (x1 ) − F (x0 )) + (F (x2 ) − F (x1 )) + (F (x3 ) − F (x2 )) + · · · · · · + (F (xn−1 ) − F (xn−2 )) + (F (xn ) − F (xn−1 )) = F (xn ) − F (x0 ) = F (b) − F (a) V63.0121.002.2010Su, Calculus I (NYU) Section 5.3 Evaluating Definite Integrals June 21, 2010 23 / 44
  • 29. Proof continued We have for each i f (ci )∆x = F (xi ) − F (xi−1 ) Form the Riemann Sum: n n Sn = f (ci )∆x = (F (xi ) − F (xi−1 )) i=1 i=1 = (F (x1 ) − F (x0 )) + (F (x2 ) − F (x1 )) + (F (x3 ) − F (x2 )) + · · · · · · + (F (xn−1 ) − F (xn−2 )) + (F (xn ) − F (xn−1 )) = F (xn ) − F (x0 ) = F (b) − F (a) See if you can spot the invocation of the Mean Value Theorem! V63.0121.002.2010Su, Calculus I (NYU) Section 5.3 Evaluating Definite Integrals June 21, 2010 23 / 44
  • 30. Proof Completed We have shown for each n, Sn = F (b) − F (a) so in the limit b f (x) dx = lim Sn = lim (F (b) − F (a)) = F (b) − F (a) a n→∞ n→∞ V63.0121.002.2010Su, Calculus I (NYU) Section 5.3 Evaluating Definite Integrals June 21, 2010 24 / 44
  • 31. Computing area with the Second FTC Example Find the area between y = x 3 and the x-axis, between x = 0 and x = 1. V63.0121.002.2010Su, Calculus I (NYU) Section 5.3 Evaluating Definite Integrals June 21, 2010 25 / 44
  • 32. Computing area with the Second FTC Example Find the area between y = x 3 and the x-axis, between x = 0 and x = 1. Solution 1 1 x4 1 A= x 3 dx = = 0 4 0 4 V63.0121.002.2010Su, Calculus I (NYU) Section 5.3 Evaluating Definite Integrals June 21, 2010 25 / 44
  • 33. Computing area with the Second FTC Example Find the area between y = x 3 and the x-axis, between x = 0 and x = 1. Solution 1 1 x4 1 A= x 3 dx = = 0 4 0 4 Here we use the notation F (x)|b or [F (x)]b to mean F (b) − F (a). a a V63.0121.002.2010Su, Calculus I (NYU) Section 5.3 Evaluating Definite Integrals June 21, 2010 25 / 44
  • 34. Computing area with the Second FTC Example Find the area enclosed by the parabola y = x 2 and y = 1. V63.0121.002.2010Su, Calculus I (NYU) Section 5.3 Evaluating Definite Integrals June 21, 2010 26 / 44
  • 35. Computing area with the Second FTC Example Find the area enclosed by the parabola y = x 2 and y = 1. 1 −1 1 V63.0121.002.2010Su, Calculus I (NYU) Section 5.3 Evaluating Definite Integrals June 21, 2010 26 / 44
  • 36. Computing area with the Second FTC Example Find the area enclosed by the parabola y = x 2 and y = 1. 1 −1 1 Solution 1 1 x3 1 1 4 A=2− x 2 dx = 2 − =2− − − = −1 3 −1 3 3 3 V63.0121.002.2010Su, Calculus I (NYU) Section 5.3 Evaluating Definite Integrals June 21, 2010 26 / 44
  • 37. Computing an integral we estimated before Example 1 4 Evaluate the integral dx. 0 1 + x2 V63.0121.002.2010Su, Calculus I (NYU) Section 5.3 Evaluating Definite Integrals June 21, 2010 27 / 44
  • 38. Example 1 4 Estimate dx using the midpoint rule and four divisions. 0 1 + x2 Solution Dividing up [0, 1] into 4 pieces gives 1 2 3 4 x0 = 0, x1 = , x2 = , x3 = , x4 = 4 4 4 4 So the midpoint rule gives 1 4 4 4 4 M4 = 2 + 2 + 2 + 4 1 + (1/8) 1 + (3/8) 1 + (5/8) 1 + (7/8)2 1 4 4 4 4 = + + + 4 65/64 73/64 89/64 113/64 150, 166, 784 = ≈ 3.1468 47, 720, 465 V63.0121.002.2010Su, Calculus I (NYU) Section 5.3 Evaluating Definite Integrals June 21, 2010 28 / 44
  • 39. Computing an integral we estimated before Example 1 4 Evaluate the integral dx. 0 1 + x2 Solution 1 1 4 1 dx = 4 dx 0 1 + x2 0 1 + x2 V63.0121.002.2010Su, Calculus I (NYU) Section 5.3 Evaluating Definite Integrals June 21, 2010 29 / 44
  • 40. Computing an integral we estimated before Example 1 4 Evaluate the integral dx. 0 1 + x2 Solution 1 1 4 1 dx = 4 dx 0 1 + x2 0 1 + x2 = 4 arctan(x)|1 0 V63.0121.002.2010Su, Calculus I (NYU) Section 5.3 Evaluating Definite Integrals June 21, 2010 29 / 44
  • 41. Computing an integral we estimated before Example 1 4 Evaluate the integral dx. 0 1 + x2 Solution 1 1 4 1 dx = 4 dx 0 1 + x2 0 1 + x2 = 4 arctan(x)|1 0 = 4 (arctan 1 − arctan 0) V63.0121.002.2010Su, Calculus I (NYU) Section 5.3 Evaluating Definite Integrals June 21, 2010 29 / 44
  • 42. Computing an integral we estimated before Example 1 4 Evaluate the integral dx. 0 1 + x2 Solution 1 1 4 1 dx = 4 dx 0 1 + x2 0 1 + x2 = 4 arctan(x)|1 0 = 4 (arctan 1 − arctan 0) π =4 −0 4 V63.0121.002.2010Su, Calculus I (NYU) Section 5.3 Evaluating Definite Integrals June 21, 2010 29 / 44
  • 43. Computing an integral we estimated before Example 1 4 Evaluate the integral dx. 0 1 + x2 Solution 1 1 4 1 dx = 4 dx 0 1 + x2 0 1 + x2 = 4 arctan(x)|1 0 = 4 (arctan 1 − arctan 0) π =4 −0 =π 4 V63.0121.002.2010Su, Calculus I (NYU) Section 5.3 Evaluating Definite Integrals June 21, 2010 29 / 44
  • 44. Computing an integral we estimated before Example 2 1 Evaluate dx. 1 x V63.0121.002.2010Su, Calculus I (NYU) Section 5.3 Evaluating Definite Integrals June 21, 2010 30 / 44
  • 45. Estimating an integral with inequalities Example 2 1 Estimate dx using Property 8. 1 x Solution Since 1 1 1 1 ≤ x ≤ 2 =⇒ ≤ ≤ 2 x 1 we have 2 1 1 · (2 − 1) ≤ dx ≤ 1 · (2 − 1) 2 1 x or 2 1 1 ≤ dx ≤ 1 2 1 x V63.0121.002.2010Su, Calculus I (NYU) Section 5.3 Evaluating Definite Integrals June 21, 2010 31 / 44
  • 46. Computing an integral we estimated before Example 2 1 Evaluate dx. 1 x Solution 2 1 dx 1 x V63.0121.002.2010Su, Calculus I (NYU) Section 5.3 Evaluating Definite Integrals June 21, 2010 32 / 44
  • 47. Computing an integral we estimated before Example 2 1 Evaluate dx. 1 x Solution 2 1 dx = ln x|2 1 1 x V63.0121.002.2010Su, Calculus I (NYU) Section 5.3 Evaluating Definite Integrals June 21, 2010 32 / 44
  • 48. Computing an integral we estimated before Example 2 1 Evaluate dx. 1 x Solution 2 1 dx = ln x|2 1 1 x = ln 2 − ln 1 V63.0121.002.2010Su, Calculus I (NYU) Section 5.3 Evaluating Definite Integrals June 21, 2010 32 / 44
  • 49. Computing an integral we estimated before Example 2 1 Evaluate dx. 1 x Solution 2 1 dx = ln x|2 1 1 x = ln 2 − ln 1 = ln 2 V63.0121.002.2010Su, Calculus I (NYU) Section 5.3 Evaluating Definite Integrals June 21, 2010 32 / 44
  • 50. Outline Last time: The Definite Integral The definite integral as a limit Properties of the integral Comparison Properties of the Integral Evaluating Definite Integrals Examples The Integral as Total Change Indefinite Integrals My first table of integrals Computing Area with integrals V63.0121.002.2010Su, Calculus I (NYU) Section 5.3 Evaluating Definite Integrals June 21, 2010 33 / 44
  • 51. The Integral as Total Change Another way to state this theorem is: b F (x) dx = F (b) − F (a), a or the integral of a derivative along an interval is the total change between the sides of that interval. This has many ramifications: V63.0121.002.2010Su, Calculus I (NYU) Section 5.3 Evaluating Definite Integrals June 21, 2010 34 / 44
  • 52. The Integral as Total Change Another way to state this theorem is: b F (x) dx = F (b) − F (a), a or the integral of a derivative along an interval is the total change between the sides of that interval. This has many ramifications: Theorem If v (t) represents the velocity of a particle moving rectilinearly, then t1 v (t) dt = s(t1 ) − s(t0 ). t0 V63.0121.002.2010Su, Calculus I (NYU) Section 5.3 Evaluating Definite Integrals June 21, 2010 34 / 44
  • 53. The Integral as Total Change Another way to state this theorem is: b F (x) dx = F (b) − F (a), a or the integral of a derivative along an interval is the total change between the sides of that interval. This has many ramifications: Theorem If MC (x) represents the marginal cost of making x units of a product, then x C (x) = C (0) + MC (q) dq. 0 V63.0121.002.2010Su, Calculus I (NYU) Section 5.3 Evaluating Definite Integrals June 21, 2010 34 / 44
  • 54. The Integral as Total Change Another way to state this theorem is: b F (x) dx = F (b) − F (a), a or the integral of a derivative along an interval is the total change between the sides of that interval. This has many ramifications: Theorem If ρ(x) represents the density of a thin rod at a distance of x from its end, then the mass of the rod up to x is x m(x) = ρ(s) ds. 0 V63.0121.002.2010Su, Calculus I (NYU) Section 5.3 Evaluating Definite Integrals June 21, 2010 34 / 44
  • 55. Outline Last time: The Definite Integral The definite integral as a limit Properties of the integral Comparison Properties of the Integral Evaluating Definite Integrals Examples The Integral as Total Change Indefinite Integrals My first table of integrals Computing Area with integrals V63.0121.002.2010Su, Calculus I (NYU) Section 5.3 Evaluating Definite Integrals June 21, 2010 35 / 44
  • 56. A new notation for antiderivatives To emphasize the relationship between antidifferentiation and integration, we use the indefinite integral notation f (x) dx for any function whose derivative is f (x). V63.0121.002.2010Su, Calculus I (NYU) Section 5.3 Evaluating Definite Integrals June 21, 2010 36 / 44
  • 57. A new notation for antiderivatives To emphasize the relationship between antidifferentiation and integration, we use the indefinite integral notation f (x) dx for any function whose derivative is f (x). Thus x 2 dx = 1 x 3 + C . 3 V63.0121.002.2010Su, Calculus I (NYU) Section 5.3 Evaluating Definite Integrals June 21, 2010 36 / 44
  • 58. My first table of integrals [f (x) + g (x)] dx = f (x) dx + g (x) dx x n+1 x n dx = + C (n = −1) cf (x) dx = c f (x) dx n+1 1 e x dx = e x + C dx = ln |x| + C x ax sin x dx = − cos x + C ax dx = +C ln a cos x dx = sin x + C csc2 x dx = − cot x + C sec2 x dx = tan x + C csc x cot x dx = − csc x + C 1 sec x tan x dx = sec x + C √ dx = arcsin x + C 1 − x2 1 dx = arctan x + C 1 + x2 V63.0121.002.2010Su, Calculus I (NYU) Section 5.3 Evaluating Definite Integrals June 21, 2010 37 / 44
  • 59. Outline Last time: The Definite Integral The definite integral as a limit Properties of the integral Comparison Properties of the Integral Evaluating Definite Integrals Examples The Integral as Total Change Indefinite Integrals My first table of integrals Computing Area with integrals V63.0121.002.2010Su, Calculus I (NYU) Section 5.3 Evaluating Definite Integrals June 21, 2010 38 / 44
  • 60. Example Find the area between the graph of y = (x − 1)(x − 2), the x-axis, and the vertical lines x = 0 and x = 3. V63.0121.002.2010Su, Calculus I (NYU) Section 5.3 Evaluating Definite Integrals June 21, 2010 39 / 44
  • 61. Example Find the area between the graph of y = (x − 1)(x − 2), the x-axis, and the vertical lines x = 0 and x = 3. Solution 3 Consider (x − 1)(x − 2) dx. 0 V63.0121.002.2010Su, Calculus I (NYU) Section 5.3 Evaluating Definite Integrals June 21, 2010 39 / 44
  • 62. Graph y x 1 2 3 V63.0121.002.2010Su, Calculus I (NYU) Section 5.3 Evaluating Definite Integrals June 21, 2010 40 / 44
  • 63. Example Find the area between the graph of y = (x − 1)(x − 2), the x-axis, and the vertical lines x = 0 and x = 3. Solution 3 Consider (x − 1)(x − 2) dx. Notice the integrand is positive on [0, 1) 0 and (2, 3], and negative on (1, 2). V63.0121.002.2010Su, Calculus I (NYU) Section 5.3 Evaluating Definite Integrals June 21, 2010 41 / 44
  • 64. Example Find the area between the graph of y = (x − 1)(x − 2), the x-axis, and the vertical lines x = 0 and x = 3. Solution 3 Consider (x − 1)(x − 2) dx. Notice the integrand is positive on [0, 1) 0 and (2, 3], and negative on (1, 2). If we want the area of the region, we have to do 1 2 3 A= (x − 1)(x − 2) dx − (x − 1)(x − 2) dx + (x − 1)(x − 2) dx 0 1 2 1 3 1 2 3 = 3x − 2 x 2 + 2x 3 0 − 1 3 3x − 3 x 2 + 2x 2 1 + 1 3 3x − 2 x 2 + 2x 3 2 5 1 5 11 = − − + = . 6 6 6 6 V63.0121.002.2010Su, Calculus I (NYU) Section 5.3 Evaluating Definite Integrals June 21, 2010 41 / 44
  • 65. Interpretation of “negative area” in motion There is an analog in rectlinear motion: t1 v (t) dt is net distance traveled. t0 t1 |v (t)| dt is total distance traveled. t0 V63.0121.002.2010Su, Calculus I (NYU) Section 5.3 Evaluating Definite Integrals June 21, 2010 42 / 44
  • 66. What about the constant? It seems we forgot about the +C when we say for instance 1 1 x4 1 1 x 3 dx = = −0= 0 4 0 4 4 But notice 1 x4 1 1 1 +C = +C − (0 + C ) = +C −C = 4 0 4 4 4 no matter what C is. So in antidifferentiation for definite integrals, the constant is immaterial. V63.0121.002.2010Su, Calculus I (NYU) Section 5.3 Evaluating Definite Integrals June 21, 2010 43 / 44
  • 67. Summary The second Fundamental Theorem of Calculus: b f (x) dx = F (b) − F (a) a where F = f . Definite integrals represent net change of a function over an interval. We write antiderivatives as indefinite integrals f (x) dx V63.0121.002.2010Su, Calculus I (NYU) Section 5.3 Evaluating Definite Integrals June 21, 2010 44 / 44