SlideShare a Scribd company logo
Sec on 2.4
    The Product and Quo ent Rules
             V63.0121.011: Calculus I
           Professor Ma hew Leingang
                  New York University


               February 23, 2011


.
Announcements

   Quiz 2 next week on
   §§1.5, 1.6, 2.1, 2.2
   Midterm March 7 on all
   sec ons in class (covers
   all sec ons up to 2.5)
Help!
 Free resources:
      Math Tutoring Center
      (CIWW 524)
      College Learning Center
      (schedule on Blackboard)
      TAs’ office hours
      my office hours
      each other!
Objectives
   Understand and be able
   to use the Product Rule
   for the deriva ve of the
   product of two func ons.
   Understand and be able
   to use the Quo ent Rule
   for the deriva ve of the
   quo ent of two
   func ons.
Outline
 Deriva ve of a Product
    Deriva on
    Examples
 The Quo ent Rule
    Deriva on
    Examples
 More deriva ves of trigonometric func ons
   Deriva ve of Tangent and Cotangent
   Deriva ve of Secant and Cosecant
 More on the Power Rule
   Power Rule for Nega ve Integers
Recollection and extension

 We have shown that if u and v are func ons, that

                         (u + v)′ = u′ + v′
                         (u − v)′ = u′ − v′

 What about uv?
Is the derivative of a product the
product of the derivatives?

              (uv)′ = u′ v′ ?
                    .
Is the derivative of a product the
product of the derivatives?

                              (uv)′ = u′ v′ !
                                    .




 Try this with u = x and v = x2 .
Is the derivative of a product the
product of the derivatives?

                          (uv)′ = u′ v′ !
                                .




 Try this with u = x and v = x2 .
      Then uv = x3 =⇒ (uv)′ = 3x2 .
Is the derivative of a product the
product of the derivatives?

                          (uv)′ = u′ v′ !
                                .




 Try this with u = x and v = x2 .
      Then uv = x3 =⇒ (uv)′ = 3x2 .
      But u′ v′ = 1 · 2x = 2x.
Is the derivative of a product the
product of the derivatives?

                          (uv)′ = u′ v′ !
                                .




 Try this with u = x and v = x2 .
      Then uv = x3 =⇒ (uv)′ = 3x2 .
      But u′ v′ = 1 · 2x = 2x.
 So we have to be more careful.
Mmm...burgers
 Say you work in a fast-food joint. You want to make more money.
 What are your choices?




               .
Mmm...burgers
 Say you work in a fast-food joint. You want to make more money.
 What are your choices?
    Work longer hours.




               .
Mmm...burgers
 Say you work in a fast-food joint. You want to make more money.
 What are your choices?
    Work longer hours.
    Get a raise.




               .
Mmm...burgers
 Say you work in a fast-food joint. You want to make more money.
 What are your choices?
      Work longer hours.
      Get a raise.
 Say you get a 25 cent raise in
 your hourly wages and work 5
 hours more per week. How
 much extra money do you
 make?
                .
Mmm...burgers
 Say you work in a fast-food joint. You want to make more money.
 What are your choices?
      Work longer hours.
      Get a raise.
 Say you get a 25 cent raise in
 your hourly wages and work 5
 hours more per week. How
 much extra money do you
 make?
              .
   ∆I = 5 × $0.25 = $1.25?
Mmm...burgers
 Say you work in a fast-food joint. You want to make more money.
 What are your choices?
      Work longer hours.
      Get a raise.
 Say you get a 25 cent raise in
 your hourly wages and work 5
 hours more per week. How
 much extra money do you
 make?
              .
   ∆I = 5 × $0.25 = $1.25?
Money money money money
 The answer depends on how much you work already and your
 current wage. Suppose you work h hours and are paid w. You get a
  me increase of ∆h and a wage increase of ∆w. Income is wages
  mes hours, so

          ∆I = (w + ∆w)(h + ∆h) − wh
             FOIL
             = w · h + w · ∆h + ∆w · h + ∆w · ∆h − wh
             = w · ∆h + ∆w · h + ∆w · ∆h
A geometric argument
 Draw a box:

               ∆h       w ∆h   ∆w ∆h


                h       wh     ∆w h

                    .
                         w      ∆w
A geometric argument
 Draw a box:

               ∆h       w ∆h     ∆w ∆h


                h       wh        ∆w h

                    .
                         w        ∆w

               ∆I = w ∆h + h ∆w + ∆w ∆h
Cash flow
 Supose wages and hours are changing con nuously over me. Over
 a me interval ∆t, what is the average rate of change of income?
                  ∆I   w ∆h + h ∆w + ∆w ∆h
                     =
                  ∆t            ∆t
                        ∆h     ∆w       ∆h
                     =w     +h     + ∆w
                         ∆t     ∆t      ∆t
Cash flow
 Supose wages and hours are changing con nuously over me. Over
 a me interval ∆t, what is the average rate of change of income?
                   ∆I   w ∆h + h ∆w + ∆w ∆h
                      =
                   ∆t            ∆t
                         ∆h     ∆w       ∆h
                      =w     +h     + ∆w
                          ∆t     ∆t      ∆t
 What is the instantaneous rate of change of income?
                 dI       ∆I   dh  dw
                    = lim    =w +h    +0
                 dt ∆t→0 ∆t    dt  dt
Eurekamen!
 We have discovered
 Theorem (The Product Rule)
 Let u and v be differen able at x. Then

                      (uv)′ (x) = u(x)v′ (x) + u′ (x)v(x)

 in Leibniz nota on
                          d         du      dv
                             (uv) =    ·v+u
                          dx        dx      dx
Sanity Check
 Example
 Apply the product rule to u = x and v = x2 .
Sanity Check
 Example
 Apply the product rule to u = x and v = x2 .

 Solu on

      (uv)′ (x) = u(x)v′ (x) + u′ (x)v(x) = x · (2x) + 1 · x2 = 3x2

 This is what we get the “normal” way.
Which is better?

 Example
 Find this deriva ve two ways: first by direct mul plica on and then
 by the product rule:
                      d [                       ]
                          (3 − x2 )(x3 − x + 1)
                      dx
Which is better?
 Example

           d [                       ]
               (3 − x2 )(x3 − x + 1)
           dx
Which is better?
 Example

                           d [                       ]
                               (3 − x2 )(x3 − x + 1)
                           dx

 Solu on
 by direct mul plica on:
            d [                     ] FOIL d [ 5                    ]
               (3 − x2 )(x3 − x + 1) =        −x + 4x3 − x2 − 3x + 3
            dx                            dx
Which is better?
 Example

                           d [                       ]
                               (3 − x2 )(x3 − x + 1)
                           dx

 Solu on
 by direct mul plica on:
            d [                     ] FOIL d [ 5                    ]
               (3 − x2 )(x3 − x + 1) =        −x + 4x3 − x2 − 3x + 3
            dx                            dx
                                       = −5x4 + 12x2 − 2x − 3
Which is better?
 Example

                         d [                       ]
                             (3 − x2 )(x3 − x + 1)
                         dx

 Solu on
 by the product rule:
                 (            )                       (               )
          dy       d                                    d 3
             =        (3 − x ) (x − x + 1) + (3 − x )
                            2    3                 2
                                                           (x − x + 1)
          dx       dx                                   dx
Which is better?
 Example

                         d [                       ]
                             (3 − x2 )(x3 − x + 1)
                         dx

 Solu on
 by the product rule:
                 (            )                       (               )
          dy       d                                    d 3
             =        (3 − x ) (x − x + 1) + (3 − x )
                            2    3                 2
                                                           (x − x + 1)
          dx       dx                                   dx
             = (−2x)(x3 − x + 1) + (3 − x2 )(3x2 − 1)
Which is better?
 Example

                         d [                       ]
                             (3 − x2 )(x3 − x + 1)
                         dx

 Solu on
 by the product rule:
                 (            )                       (               )
          dy       d                                    d 3
             =        (3 − x ) (x − x + 1) + (3 − x )
                            2    3                 2
                                                           (x − x + 1)
          dx       dx                                   dx
             = (−2x)(x3 − x + 1) + (3 − x2 )(3x2 − 1)
Which is better?
 Example

                         d [                       ]
                             (3 − x2 )(x3 − x + 1)
                         dx

 Solu on
 by the product rule:
                 (            )                       (               )
          dy       d                                    d 3
             =        (3 − x ) (x − x + 1) + (3 − x )
                            2    3                 2
                                                           (x − x + 1)
          dx       dx                                   dx
             = (−2x)(x3 − x + 1) + (3 − x2 )(3x2 − 1)
Which is better?
 Example

                         d [                       ]
                             (3 − x2 )(x3 − x + 1)
                         dx

 Solu on
 by the product rule:
                 (            )                       (               )
          dy       d                                    d 3
             =        (3 − x ) (x − x + 1) + (3 − x )
                            2    3                 2
                                                           (x − x + 1)
          dx       dx                                   dx
             = (−2x)(x3 − x + 1) + (3 − x2 )(3x2 − 1)
Which is better?
 Example

                         d [                       ]
                             (3 − x2 )(x3 − x + 1)
                         dx

 Solu on
 by the product rule:
                 (            )                       (               )
          dy       d                                    d 3
             =        (3 − x ) (x − x + 1) + (3 − x )
                            2    3                 2
                                                           (x − x + 1)
          dx       dx                                   dx
             = (−2x)(x3 − x + 1) + (3 − x2 )(3x2 − 1)
Which is better?
 Example

                         d [                       ]
                             (3 − x2 )(x3 − x + 1)
                         dx

 Solu on
 by the product rule:
                 (            )                       (               )
          dy       d                                    d 3
             =        (3 − x ) (x − x + 1) + (3 − x )
                            2    3                 2
                                                           (x − x + 1)
          dx       dx                                   dx
             = (−2x)(x3 − x + 1) + (3 − x2 )(3x2 − 1)
             = −5x4 + 12x2 − 2x − 3
One more
 Example
     d
 Find x sin x.
     dx
One more
 Example
     d
 Find x sin x.
     dx
 Solu on

                                (       )          (         )
                 d                  d                d
                    x sin x =          x sin x + x      sin x
                 dx                 dx               dx
One more
 Example
     d
 Find x sin x.
     dx
 Solu on

                              (      )           (          )
                 d               d                  d
                    x sin x =       x sin x + x        sin x
                 dx             dx                  dx
                            = 1 · sin x + x · cos x
One more
 Example
     d
 Find x sin x.
     dx
 Solu on

                              (      )           (          )
                 d               d                  d
                    x sin x =       x sin x + x        sin x
                 dx             dx                  dx
                            = 1 · sin x + x · cos x
                            = sin x + x cos x
Mnemonic
 Let u = “hi” and v = “ho”. Then

           (uv)′ = vu′ + uv′ = “ho dee hi plus hi dee ho”
Musical interlude

   jazz bandleader and
   singer
   hit song “Minnie the
   Moocher” featuring “hi
   de ho” chorus
   played Cur s in The Blues
   Brothers
                               Cab Calloway
                                1907–1994
Iterating the Product Rule
 Example
 Use the product rule to find the deriva ve of a three-fold product uvw.
Iterating the Product Rule
 Example
 Use the product rule to find the deriva ve of a three-fold product uvw.

 Solu on

                  (uvw)′                .
Iterating the Product Rule
 Example
 Use the product rule to find the deriva ve of a three-fold product uvw.

 Solu on

                  (uvw)′ = ((uv)w)′ .
Iterating the Product Rule
 Example
                              Apply the product
 Use the product rule to find the deriva ve of a three-fold product uvw.
                              rule to uv and w
 Solu on

                  (uvw)′ = ((uv)w)′ .
Iterating the Product Rule
 Example
                              Apply the product
 Use the product rule to find the deriva ve of a three-fold product uvw.
                              rule to uv and w
 Solu on

                  (uvw)′ = ((uv)w)′ . = (uv)′ w + (uv)w′ .
Iterating the Product Rule
 Example
 Use the product rule to find the deriva ve of a three-fold product uvw.product
                                                            Apply the
                                                           rule to u and v
 Solu on

                  (uvw)′ = ((uv)w)′ . = (uv)′ w + (uv)w′ .
Iterating the Product Rule
 Example
 Use the product rule to find the deriva ve of a three-fold product uvw.product
                                                            Apply the
                                                           rule to u and v
 Solu on

                  (uvw)′ = ((uv)w)′ . = (uv)′ w + (uv)w′ .
                         = (u′ v + uv′ )w + (uv)w′
Iterating the Product Rule
 Example
 Use the product rule to find the deriva ve of a three-fold product uvw.

 Solu on

                  (uvw)′ = ((uv)w)′ . = (uv)′ w + (uv)w′ .
                         = (u′ v + uv′ )w + (uv)w′
                         = u′ vw + uv′ w + uvw′
Iterating the Product Rule
 Example
 Use the product rule to find the deriva ve of a three-fold product uvw.

 Solu on

                  (uvw)′ = ((uv)w)′ . = (uv)′ w + (uv)w′ .
                         = (u′ v + uv′ )w + (uv)w′
                         = u′ vw + uv′ w + uvw′


 So we write down the product three mes, taking the deriva ve of each factor
 once.
Outline
 Deriva ve of a Product
    Deriva on
    Examples
 The Quo ent Rule
    Deriva on
    Examples
 More deriva ves of trigonometric func ons
   Deriva ve of Tangent and Cotangent
   Deriva ve of Secant and Cosecant
 More on the Power Rule
   Power Rule for Nega ve Integers
The Quotient Rule
 What about the deriva ve of a quo ent?
The Quotient Rule
 What about the deriva ve of a quo ent?
                                                 u
 Let u and v be differen able func ons and let Q = . Then
                                                 v
                               u = Qv
The Quotient Rule
 What about the deriva ve of a quo ent?
                                                 u
 Let u and v be differen able func ons and let Q = . Then
                                                 v
                               u = Qv
 If Q is differen able, we have
                            u′ = (Qv)′ = Q′ v + Qv′
The Quotient Rule
 What about the deriva ve of a quo ent?
                                                 u
 Let u and v be differen able func ons and let Q = . Then
                                                 v
                               u = Qv
 If Q is differen able, we have
                          u′ = (Qv)′ = Q′ v + Qv′
                           ′   u′ − Qv′     u′ u v′
                       =⇒ Q =           = − ·
                                   v        v   v v
The Quotient Rule
 What about the deriva ve of a quo ent?
                                                 u
 Let u and v be differen able func ons and let Q = . Then
                                                 v
                               u = Qv
 If Q is differen able, we have
                          u′ = (Qv)′ = Q′ v + Qv′
                           ′   u′ − Qv′     u′ u v′
                    =⇒ Q =              = − ·
                                   v        v   v v
                      ( u )′ u′ v − uv′
              =⇒ Q′ =        =
                        v          v2
The Quotient Rule
 What about the deriva ve of a quo ent?
                                                 u
 Let u and v be differen able func ons and let Q = . Then
                                                 v
                               u = Qv
 If Q is differen able, we have
                             u′ = (Qv)′ = Q′ v + Qv′
                              ′   u′ − Qv′     u′ u v′
                        =⇒ Q =             = − ·
                                      v        v   v v
                         ( u )′ u′ v − uv′
                 =⇒ Q′ =        =
                           v          v2
 This is called the Quo ent Rule.
The Quotient Rule
 We have discovered
 Theorem (The Quo ent Rule)
                                                      u
 Let u and v be differen able at x, and v(x) ̸= 0. Then is
                                                      v
 differen able at x, and
                  ( u )′           u′ (x)v(x) − u(x)v′ (x)
                           (x) =
                    v                       v(x)2
Verifying Example
 Example
                                          (        )
                                     d        x2                             d
 Verify the quo ent rule by compu ng                   and comparing it to      (x).
                                     dx       x                              dx
Verifying Example
 Example
                                          (        )
                                     d        x2                             d
 Verify the quo ent rule by compu ng                   and comparing it to      (x).
                                     dx       x                              dx

 Solu on
                 ( 2)       ( )
            d     x     x dx x2 − x2 dx (x) x · 2x − x2 · 1
                          d           d
                      =                    =
            dx     x            x2                 x2
                        x2         d
                      = 2 =1=         (x)
                        x          dx
Mnemonic
 Let u = “hi” and v = “lo”. Then
       ( u )′ vu′ − uv′
             =           = “lo dee hi minus hi dee lo over lo lo”
         v        v2
Examples

 Example
     d 2x + 5
  1.
     dx 3x − 2
     d sin x
  2.
     dx x2
     d      1
  3.     2+t+2
     dt t
Solution to first example
 Solu on


      d 2x + 5
      dx 3x − 2
Solution to first example
 Solu on


      d 2x + 5 (3x − 2) dx (2x + 5) − (2x + 5) dx (3x − 2)
                        d                      d
                =
      dx 3x − 2                 (3x − 2)2
Solution to first example
 Solu on


      d 2x + 5 (3x − 2) dx (2x + 5) − (2x + 5) dx (3x − 2)
                        d                      d
                =
      dx 3x − 2                 (3x − 2)2
Solution to first example
 Solu on


      d 2x + 5 (3x − 2) dx (2x + 5) − (2x + 5) dx (3x − 2)
                        d                      d
                =
      dx 3x − 2                 (3x − 2)2
Solution to first example
 Solu on


      d 2x + 5 (3x − 2) dx (2x + 5) − (2x + 5) dx (3x − 2)
                        d                      d
                =
      dx 3x − 2                 (3x − 2)2
Solution to first example
 Solu on


      d 2x + 5 (3x − 2) dx (2x + 5) − (2x + 5) dx (3x − 2)
                        d                      d
                =
      dx 3x − 2                 (3x − 2)2
Solution to first example
 Solu on


      d 2x + 5 (3x − 2) dx (2x + 5) − (2x + 5) dx (3x − 2)
                        d                      d
                =
      dx 3x − 2                 (3x − 2)2
Solution to first example
 Solu on


      d 2x + 5 (3x − 2) dx (2x + 5) − (2x + 5) dx (3x − 2)
                           d                   d
                =
      dx 3x − 2                  (3x − 2)2
                  (3x − 2)(2) − (2x + 5)(3)
                =
                          (3x − 2)2
Solution to first example
 Solu on


      d 2x + 5 (3x − 2) dx (2x + 5) − (2x + 5) dx (3x − 2)
                           d                   d
                =
      dx 3x − 2                  (3x − 2)2
                  (3x − 2)(2) − (2x + 5)(3)
                =
                          (3x − 2)2
Solution to first example
 Solu on


      d 2x + 5 (3x − 2) dx (2x + 5) − (2x + 5) dx (3x − 2)
                           d                   d
                =
      dx 3x − 2                  (3x − 2)2
                  (3x − 2)(2) − (2x + 5)(3)
                =
                          (3x − 2)2
Solution to first example
 Solu on


      d 2x + 5 (3x − 2) dx (2x + 5) − (2x + 5) dx (3x − 2)
                           d                   d
                =
      dx 3x − 2                  (3x − 2)2
                  (3x − 2)(2) − (2x + 5)(3)
                =
                          (3x − 2)2
Solution to first example
 Solu on


      d 2x + 5 (3x − 2) dx (2x + 5) − (2x + 5) dx (3x − 2)
                           d                   d
                =
      dx 3x − 2                  (3x − 2)2
                  (3x − 2)(2) − (2x + 5)(3)
                =
                          (3x − 2)2
Solution to first example
 Solu on


      d 2x + 5 (3x − 2) dx (2x + 5) − (2x + 5) dx (3x − 2)
                           d                   d
                =
      dx 3x − 2                  (3x − 2)2
                  (3x − 2)(2) − (2x + 5)(3)
                =
                          (3x − 2)2
                  (6x − 4) − (6x + 15)
                =
                       (3x − 2)2
Solution to first example
 Solu on


      d 2x + 5 (3x − 2) dx (2x + 5) − (2x + 5) dx (3x − 2)
                           d                    d
                =
      dx 3x − 2                  (3x − 2)2
                  (3x − 2)(2) − (2x + 5)(3)
                =
                          (3x − 2)2
                  (6x − 4) − (6x + 15)         19
                =                      =−
                       (3x − 2)2            (3x − 2)2
Examples

 Example         Answers
     d 2x + 5               19
  1.              1. −
     dx 3x − 2           (3x − 2)2
     d sin x
  2.
     dx x2
     d      1
  3.     2+t+2
     dt t
Solution to second example
 Solu on


           d sin x
                   =
           dx x2
Solution to second example
 Solu on


           d sin x x2
                  =
           dx x2
Solution to second example
 Solu on


                      d
           d sin x x2 dx sin x
                  =
           dx x2
Solution to second example
 Solu on


           d sin x x2 dx sin x − sin x
                      d
                  =
           dx x2
Solution to second example
 Solu on


           d sin x x2 dx sin x − sin x dx x2
                      d                d
                  =
           dx x2
Solution to second example
 Solu on


           d sin x x2 dx sin x − sin x dx x2
                      d                d
                  =
           dx x2             (x2 )2
Solution to second example
 Solu on


           d sin x x2 dx sin x − sin x dx x2
                      d                d
                  =
           dx x2             (x2 )2

                   =
Solution to second example
 Solu on


           d sin x x2 dx sin x − sin x dx x2
                       d               d
                  =
           dx x2             (x2 )2
                    x2
                  =
Solution to second example
 Solu on


           d sin x x2 dx sin x − sin x dx x2
                       d               d
                  =
           dx x2             (x2 )2
                    x2 cos x
                  =
Solution to second example
 Solu on


           d sin x x2 dx sin x − sin x dx x2
                       d               d
                  =
           dx x2             (x2 )2
                    x2 cos x − 2x
                  =
Solution to second example
 Solu on


           d sin x x2 dx sin x − sin x dx x2
                       d               d
                  =
           dx x2             (x2 )2
                    x2 cos x − 2x sin x
                  =
Solution to second example
 Solu on


           d sin x x2 dx sin x − sin x dx x2
                       d               d
                  =
           dx x2             (x2 )2
                    x2 cos x − 2x sin x
                  =
                             x4
Solution to second example
 Solu on


           d sin x x2 dx sin x − sin x dx x2
                       d               d
                  =
           dx x2             (x2 )2
                    x2 cos x − 2x sin x
                  =
                             x4
                    x cos x − 2 sin x
                  =
                            x3
Another way to do it
 Find the deriva ve with the product rule instead.
 Solu on
                d sin x    d (             )
                     2
                        =      sin x · x−2
                dx x      dx
                          (          )               (        )
                             d             −2            d −2
                        =       sin x · x + sin x ·         x
                            dx                           dx
                        = cos x · x−2 + sin x · (−2x−3 )
                        = x−3 (x cos x − 2 sin x)


 No ce the technique of factoring out the largest nega ve power,
 leaving posi ve powers.
Examples

 Example         Answers
     d 2x + 5              19
  1.              1. −
     dx 3x − 2         (3x − 2)2
     d sin x         x cos x − 2 sin x
  2.              2.
     dx x2                   x3
     d      1
  3.     2+t+2
     dt t
Solution to third example
 Solu on


           d      1
           dt t2 + t + 2
Solution to third example
 Solu on


           d      1        (t2 + t + 2)(0) − (1)(2t + 1)
                         =
           dt t2 + t + 2            (t2 + t + 2)2
Solution to third example
 Solu on


           d      1        (t2 + t + 2)(0) − (1)(2t + 1)
                         =
           dt t2 + t + 2            (t2 + t + 2)2
                                2t + 1
                         =− 2
                             (t + t + 2)2
A nice little takeaway
 Fact
                                                1
 Let v be differen able at x, and v(x) ̸= 0. Then is differen able at
                                                v
 0, and                      ( )′
                               1         v′
                                   =− 2
                               v         v

 Proof.
               ( )
          d     1    v·   d
                          dx (1)−1·   d
                                      dx v     v · 0 − 1 · v′   v′
                   =                         =                =− 2
          dx    v              v2                    v2         v
Examples

 Example         Answers
     d 2x + 5              19
  1.              1. −
     dx 3x − 2         (3x − 2)2
     d sin x         x cos x − 2 sin x
  2.              2.
     dx x2                   x3
     d      1              2t + 1
  3.              3. − 2
     dt t2+t+2         (t + t + 2)2
Outline
 Deriva ve of a Product
    Deriva on
    Examples
 The Quo ent Rule
    Deriva on
    Examples
 More deriva ves of trigonometric func ons
   Deriva ve of Tangent and Cotangent
   Deriva ve of Secant and Cosecant
 More on the Power Rule
   Power Rule for Nega ve Integers
Derivative of Tangent
 Example
      d
 Find    tan x
      dx
Derivative of Tangent
 Example
      d
 Find    tan x
      dx

 Solu on

                       (           )
       d          d        sin x
          tan x =
       dx         dx       cos x
Derivative of Tangent
 Example
      d
 Find    tan x
      dx

 Solu on

                       (           )
       d          d        sin x           cos x · cos x − sin x · (− sin x)
          tan x =                      =
       dx         dx       cos x                        cos2 x
Derivative of Tangent
 Example
      d
 Find    tan x
      dx

 Solu on

                     (       )
       d           d sin x        cos x · cos x − sin x · (− sin x)
          tan x =               =
       dx         dx cos x                     cos2 x
                  cos2 x + sin2 x
                =
                      cos2 x
Derivative of Tangent
 Example
      d
 Find    tan x
      dx

 Solu on

                     (       )
       d           d sin x        cos x · cos x − sin x · (− sin x)
          tan x =               =
       dx         dx cos x                     cos2 x
                  cos2 x + sin2 x     1
                =                 =
                      cos2 x        cos2 x
Derivative of Tangent
 Example
      d
 Find    tan x
      dx

 Solu on

                     (       )
       d           d sin x        cos x · cos x − sin x · (− sin x)
          tan x =               =
       dx         dx cos x                     cos2 x
                  cos2 x + sin2 x     1
                =         2x
                                  =     2x
                                            = sec2 x
                      cos           cos
Derivative of Cotangent
 Example
      d
 Find    cot x
      dx
Derivative of Cotangent
 Example
      d
 Find    cot x
      dx
 Answer

                 d             1
                    cot x = − 2 = − csc2 x
                 dx          sin x
Derivative of Cotangent
 Example
      d
 Find    cot x
      dx

 Solu on


       d          d ( cos x )   sin x · (− sin x) − cos x · cos x
          cot x =             =
       dx         dx sin x                    sin2 x
Derivative of Cotangent
 Example
      d
 Find    cot x
      dx

 Solu on


       d          d ( cos x )    sin x · (− sin x) − cos x · cos x
          cot x =             =
       dx         dx sin x                     sin2 x
                  − sin2 x − cos2 x
                =
                       sin2 x
Derivative of Cotangent
 Example
      d
 Find    cot x
      dx

 Solu on


       d          d ( cos x )    sin x · (− sin x) − cos x · cos x
          cot x =             =
       dx         dx sin x                     sin2 x
                  − sin2 x − cos2 x         1
                =                   =− 2
                       sin2 x             sin x
Derivative of Cotangent
 Example
      d
 Find    cot x
      dx

 Solu on


       d          d ( cos x )    sin x · (− sin x) − cos x · cos x
          cot x =             =
       dx         dx sin x                     sin2 x
                  − sin2 x − cos2 x         1
                =                   = − 2 = − csc2 x
                       sin2 x             sin x
Derivative of Secant
 Example
      d
 Find    sec x
      dx
Derivative of Secant
 Example
      d
 Find    sec x
      dx

 Solu on

                           (           )
           d          d          1
              sec x =
           dx         dx       cos x
Derivative of Secant
 Example
      d
 Find    sec x
      dx

 Solu on

                           (           )
           d          d          1             cos x · 0 − 1 · (− sin x)
              sec x =                      =
           dx         dx       cos x                     cos2 x
Derivative of Secant
 Example
      d
 Find    sec x
      dx

 Solu on

                          (    )
           d           d     1     cos x · 0 − 1 · (− sin x)
              sec x =            =
           dx         dx cos x               cos2 x
                       sin x
                    =
                      cos2 x
Derivative of Secant
 Example
      d
 Find    sec x
      dx

 Solu on

                          (    )
           d           d     1        cos x · 0 − 1 · (− sin x)
              sec x =             =
           dx         dx cos x                  cos2 x
                       sin x    1      sin x
                    =        =      ·
                      cos2 x cos x cos x
Derivative of Secant
 Example
      d
 Find    sec x
      dx

 Solu on

                          (    )
           d           d     1        cos x · 0 − 1 · (− sin x)
              sec x =             =
           dx         dx cos x                  cos2 x
                       sin x    1      sin x
                    =        =      ·         = sec x tan x
                      cos2 x cos x cos x
Derivative of Cosecant
 Example
      d
 Find    csc x
      dx
Derivative of Cosecant
 Example
      d
 Find    csc x
      dx
 Answer

                 d
                    csc x = − csc x cot x
                 dx
Derivative of Cosecant
 Example
      d
 Find    csc x
      dx

 Solu on

                           (           )
           d          d          1             sin x · 0 − 1 · (cos x)
              csc x =                      =
           dx         dx       sin x                    sin2 x
Derivative of Cosecant
 Example
      d
 Find    csc x
      dx

 Solu on

                         (     )
           d          d      1     sin x · 0 − 1 · (cos x)
              csc x =            =
           dx         dx sin x              sin2 x
                        cos x
                    =− 2
                        sin x
Derivative of Cosecant
 Example
      d
 Find    csc x
      dx

 Solu on

                         (     )
           d          d      1      sin x · 0 − 1 · (cos x)
              csc x =            =
           dx         dx sin x               sin2 x
                        cos x      1     cos x
                    =− 2 =−            ·
                        sin x    sin x sin x
Derivative of Cosecant
 Example
      d
 Find    csc x
      dx

 Solu on

                         (     )
           d          d      1      sin x · 0 − 1 · (cos x)
              csc x =            =
           dx         dx sin x               sin2 x
                        cos x      1     cos x
                    =− 2 =−            ·        = − csc x cot x
                        sin x    sin x sin x
Recap: Derivatives of
trigonometric functions
    y          y′
   sin x      cos x      Func ons come in pairs
                         (sin/cos, tan/cot, sec/csc)
   cos x    − sin x
                         Deriva ves of pairs follow
   tan x      sec2 x     similar pa erns, with
   cot x   − csc2 x      func ons and
                         co-func ons switched
   sec x   sec x tan x   and an extra sign.
   csc x − csc x cot x
Outline
 Deriva ve of a Product
    Deriva on
    Examples
 The Quo ent Rule
    Deriva on
    Examples
 More deriva ves of trigonometric func ons
   Deriva ve of Tangent and Cotangent
   Deriva ve of Secant and Cosecant
 More on the Power Rule
   Power Rule for Nega ve Integers
Power Rule for Negative Integers
 We will use the quo ent rule to prove
 Theorem

                           d −n
                              x = (−n)x−n−1
                           dx
 for posi ve integers n.
Power Rule for Negative Integers
 We will use the quo ent rule to prove
 Theorem

                           d −n
                              x = (−n)x−n−1
                           dx
 for posi ve integers n.

 Proof.
Power Rule for Negative Integers
 We will use the quo ent rule to prove
 Theorem

                           d −n
                              x = (−n)x−n−1
                           dx
 for posi ve integers n.

 Proof.

    d −n   d 1
       x =
    dx     dx xn
Power Rule for Negative Integers
 We will use the quo ent rule to prove
 Theorem

                           d −n
                              x = (−n)x−n−1
                           dx
 for posi ve integers n.

 Proof.
                    d n
    d −n   d 1      dx x
       x =       =− n 2
    dx     dx xn   (x )
Power Rule for Negative Integers
 We will use the quo ent rule to prove
 Theorem

                           d −n
                              x = (−n)x−n−1
                           dx
 for posi ve integers n.

 Proof.
                     d n
    d −n   d 1       dx x   nxn−1
       x =       = − n 2 = − 2n
    dx     dx xn    (x )     x
Power Rule for Negative Integers
 We will use the quo ent rule to prove
 Theorem

                           d −n
                              x = (−n)x−n−1
                           dx
 for posi ve integers n.

 Proof.
                     d n
    d −n   d 1       dx x   nxn−1
       x =     n
                 = − n 2 = − 2n = −nxn−1−2n
    dx     dx x     (x )     x
Power Rule for Negative Integers
 We will use the quo ent rule to prove
 Theorem

                           d −n
                              x = (−n)x−n−1
                           dx
 for posi ve integers n.

 Proof.
                     d n
    d −n   d 1       dx x   nxn−1
       x =     n
                 = − n 2 = − 2n = −nxn−1−2n = −nx−n−1
    dx     dx x     (x )     x
Summary
  The Product Rule: (uv)′ = u′ v + uv′
                     ( u )′ vu′ − uv′
  The Quo ent Rule:        =
                       v          v2
  Deriva ves of tangent/cotangent, secant/cosecant
         d                           d
           tan x = sec2 x              sec x = sec x tan x
        dx                          dx
         d                           d
           cot x = − csc2 x            csc x = − csc x cot x
        dx                          dx
  The Power Rule is true for all whole number powers, including
  nega ve powers:
                            d n
                              x = nxn−1
                           dx

More Related Content

What's hot

Lesson 27: Integration by Substitution, part II (Section 10 version)
Lesson 27: Integration by Substitution, part II (Section 10 version)Lesson 27: Integration by Substitution, part II (Section 10 version)
Lesson 27: Integration by Substitution, part II (Section 10 version)
Matthew Leingang
 
Week 2
Week 2 Week 2
Week 2
Hazrul156
 
Lesson 29: Integration by Substition (worksheet solutions)
Lesson 29: Integration by Substition (worksheet solutions)Lesson 29: Integration by Substition (worksheet solutions)
Lesson 29: Integration by Substition (worksheet solutions)Matthew Leingang
 
Lesson 29: Integration by Substition
Lesson 29: Integration by SubstitionLesson 29: Integration by Substition
Lesson 29: Integration by SubstitionMatthew Leingang
 
Lesson 27: Integration by Substitution (Section 4 version)
Lesson 27: Integration by Substitution (Section 4 version)Lesson 27: Integration by Substitution (Section 4 version)
Lesson 27: Integration by Substitution (Section 4 version)
Matthew Leingang
 
Lesson 9: The Product and Quotient Rule
Lesson 9: The Product and Quotient RuleLesson 9: The Product and Quotient Rule
Lesson 9: The Product and Quotient Rule
Matthew Leingang
 
Ball Packings and Fat Voronoi Diagrams
Ball Packings and Fat Voronoi DiagramsBall Packings and Fat Voronoi Diagrams
Ball Packings and Fat Voronoi Diagrams
Don Sheehy
 
Integration by Parts, Part 1
Integration by Parts, Part 1Integration by Parts, Part 1
Integration by Parts, Part 1
Pablo Antuna
 
Lesson 9: The Product and Quotient Rule
Lesson 9: The Product and Quotient RuleLesson 9: The Product and Quotient Rule
Lesson 9: The Product and Quotient Rule
Matthew Leingang
 
Lecture 1: linear SVM in the primal
Lecture 1: linear SVM in the primalLecture 1: linear SVM in the primal
Lecture 1: linear SVM in the primal
Stéphane Canu
 
Lecture 2: linear SVM in the Dual
Lecture 2: linear SVM in the DualLecture 2: linear SVM in the Dual
Lecture 2: linear SVM in the Dual
Stéphane Canu
 
A Generalized Metric Space and Related Fixed Point Theorems
A Generalized Metric Space and Related Fixed Point TheoremsA Generalized Metric Space and Related Fixed Point Theorems
A Generalized Metric Space and Related Fixed Point Theorems
IRJET Journal
 
Lesson 27: Integration by Substitution (Section 10 version)
Lesson 27: Integration by Substitution (Section 10 version)Lesson 27: Integration by Substitution (Section 10 version)
Lesson 27: Integration by Substitution (Section 10 version)
Matthew Leingang
 
Supervised Prediction of Graph Summaries
Supervised Prediction of Graph SummariesSupervised Prediction of Graph Summaries
Supervised Prediction of Graph Summaries
Daniil Mirylenka
 
A Study on Intuitionistic Multi-Anti Fuzzy Subgroups
A Study on Intuitionistic Multi-Anti Fuzzy Subgroups A Study on Intuitionistic Multi-Anti Fuzzy Subgroups
A Study on Intuitionistic Multi-Anti Fuzzy Subgroups
mathsjournal
 
Greedy algo revision 2
Greedy algo revision 2Greedy algo revision 2
Greedy algo revision 2
maamir farooq
 
AA Section 3-2
AA Section 3-2AA Section 3-2
AA Section 3-2
Jimbo Lamb
 
Differentiation
DifferentiationDifferentiation
Differentiation
puspitaaya
 

What's hot (19)

Lesson 27: Integration by Substitution, part II (Section 10 version)
Lesson 27: Integration by Substitution, part II (Section 10 version)Lesson 27: Integration by Substitution, part II (Section 10 version)
Lesson 27: Integration by Substitution, part II (Section 10 version)
 
Week 2
Week 2 Week 2
Week 2
 
Lesson 29: Integration by Substition (worksheet solutions)
Lesson 29: Integration by Substition (worksheet solutions)Lesson 29: Integration by Substition (worksheet solutions)
Lesson 29: Integration by Substition (worksheet solutions)
 
Lesson 29: Integration by Substition
Lesson 29: Integration by SubstitionLesson 29: Integration by Substition
Lesson 29: Integration by Substition
 
Error propagation
Error propagationError propagation
Error propagation
 
Lesson 27: Integration by Substitution (Section 4 version)
Lesson 27: Integration by Substitution (Section 4 version)Lesson 27: Integration by Substitution (Section 4 version)
Lesson 27: Integration by Substitution (Section 4 version)
 
Lesson 9: The Product and Quotient Rule
Lesson 9: The Product and Quotient RuleLesson 9: The Product and Quotient Rule
Lesson 9: The Product and Quotient Rule
 
Ball Packings and Fat Voronoi Diagrams
Ball Packings and Fat Voronoi DiagramsBall Packings and Fat Voronoi Diagrams
Ball Packings and Fat Voronoi Diagrams
 
Integration by Parts, Part 1
Integration by Parts, Part 1Integration by Parts, Part 1
Integration by Parts, Part 1
 
Lesson 9: The Product and Quotient Rule
Lesson 9: The Product and Quotient RuleLesson 9: The Product and Quotient Rule
Lesson 9: The Product and Quotient Rule
 
Lecture 1: linear SVM in the primal
Lecture 1: linear SVM in the primalLecture 1: linear SVM in the primal
Lecture 1: linear SVM in the primal
 
Lecture 2: linear SVM in the Dual
Lecture 2: linear SVM in the DualLecture 2: linear SVM in the Dual
Lecture 2: linear SVM in the Dual
 
A Generalized Metric Space and Related Fixed Point Theorems
A Generalized Metric Space and Related Fixed Point TheoremsA Generalized Metric Space and Related Fixed Point Theorems
A Generalized Metric Space and Related Fixed Point Theorems
 
Lesson 27: Integration by Substitution (Section 10 version)
Lesson 27: Integration by Substitution (Section 10 version)Lesson 27: Integration by Substitution (Section 10 version)
Lesson 27: Integration by Substitution (Section 10 version)
 
Supervised Prediction of Graph Summaries
Supervised Prediction of Graph SummariesSupervised Prediction of Graph Summaries
Supervised Prediction of Graph Summaries
 
A Study on Intuitionistic Multi-Anti Fuzzy Subgroups
A Study on Intuitionistic Multi-Anti Fuzzy Subgroups A Study on Intuitionistic Multi-Anti Fuzzy Subgroups
A Study on Intuitionistic Multi-Anti Fuzzy Subgroups
 
Greedy algo revision 2
Greedy algo revision 2Greedy algo revision 2
Greedy algo revision 2
 
AA Section 3-2
AA Section 3-2AA Section 3-2
AA Section 3-2
 
Differentiation
DifferentiationDifferentiation
Differentiation
 

Similar to Lesson 9: The Product and Quotient Rules (slides)

Algebra digital textbook gopika
Algebra digital textbook gopikaAlgebra digital textbook gopika
Algebra digital textbook gopika
gopikarchandran
 
Lesson 9: The Product and Quotient Rules
Lesson 9: The Product and Quotient RulesLesson 9: The Product and Quotient Rules
Lesson 9: The Product and Quotient Rules
Matthew Leingang
 
Differential Calculus
Differential Calculus Differential Calculus
Differential Calculus
OlooPundit
 
Anti derivatives
Anti derivativesAnti derivatives
Anti derivativescanalculus
 
C2 st lecture 3 handout
C2 st lecture 3 handoutC2 st lecture 3 handout
C2 st lecture 3 handoutfatima d
 
Lesson 27: Integration by Substitution (slides)
Lesson 27: Integration by Substitution (slides)Lesson 27: Integration by Substitution (slides)
Lesson 27: Integration by Substitution (slides)
Mel Anthony Pepito
 
Implicit Differentiation, Part 1
Implicit Differentiation, Part 1Implicit Differentiation, Part 1
Implicit Differentiation, Part 1Pablo Antuna
 
3009 implicitdefere
3009 implicitdefere3009 implicitdefere
3009 implicitdeferejbianco9910
 
3009 implicitdefere
3009 implicitdefere3009 implicitdefere
3009 implicitdeferejbianco9910
 
Week 3 [compatibility mode]
Week 3 [compatibility mode]Week 3 [compatibility mode]
Week 3 [compatibility mode]
Hazrul156
 
Partial diferential good
Partial diferential goodPartial diferential good
Partial diferential good
genntmbr
 
Rules of derivative
Rules of derivativeRules of derivative
Rules of derivative
jameel shigri
 
Integration by Parts, Part 2
Integration by Parts, Part 2Integration by Parts, Part 2
Integration by Parts, Part 2Pablo Antuna
 
Calculus First Test 2011/10/20
Calculus First Test 2011/10/20Calculus First Test 2011/10/20
Calculus First Test 2011/10/20
Kuan-Lun Wang
 
Tugas akhir matematika kelompok 1
Tugas akhir matematika kelompok 1Tugas akhir matematika kelompok 1
Tugas akhir matematika kelompok 1
Debora Elluisa Manurung
 
Integration intro
Integration introIntegration intro
Integration intro
Shaun Wilson
 

Similar to Lesson 9: The Product and Quotient Rules (slides) (20)

Algebra digital textbook gopika
Algebra digital textbook gopikaAlgebra digital textbook gopika
Algebra digital textbook gopika
 
Lesson 9: The Product and Quotient Rules
Lesson 9: The Product and Quotient RulesLesson 9: The Product and Quotient Rules
Lesson 9: The Product and Quotient Rules
 
Differential Calculus
Differential Calculus Differential Calculus
Differential Calculus
 
Anti derivatives
Anti derivativesAnti derivatives
Anti derivatives
 
C2 st lecture 3 handout
C2 st lecture 3 handoutC2 st lecture 3 handout
C2 st lecture 3 handout
 
Lesson 27: Integration by Substitution (slides)
Lesson 27: Integration by Substitution (slides)Lesson 27: Integration by Substitution (slides)
Lesson 27: Integration by Substitution (slides)
 
Implicit Differentiation, Part 1
Implicit Differentiation, Part 1Implicit Differentiation, Part 1
Implicit Differentiation, Part 1
 
3009 implicitdefere
3009 implicitdefere3009 implicitdefere
3009 implicitdefere
 
3009 implicitdefere
3009 implicitdefere3009 implicitdefere
3009 implicitdefere
 
125 5.1
125 5.1125 5.1
125 5.1
 
Week 3 [compatibility mode]
Week 3 [compatibility mode]Week 3 [compatibility mode]
Week 3 [compatibility mode]
 
Partial diferential good
Partial diferential goodPartial diferential good
Partial diferential good
 
125 11.1
125 11.1125 11.1
125 11.1
 
125 5.2
125 5.2125 5.2
125 5.2
 
Rules of derivative
Rules of derivativeRules of derivative
Rules of derivative
 
Integration by Parts, Part 2
Integration by Parts, Part 2Integration by Parts, Part 2
Integration by Parts, Part 2
 
Nis differentiation1
Nis differentiation1Nis differentiation1
Nis differentiation1
 
Calculus First Test 2011/10/20
Calculus First Test 2011/10/20Calculus First Test 2011/10/20
Calculus First Test 2011/10/20
 
Tugas akhir matematika kelompok 1
Tugas akhir matematika kelompok 1Tugas akhir matematika kelompok 1
Tugas akhir matematika kelompok 1
 
Integration intro
Integration introIntegration intro
Integration intro
 

More from Mel Anthony Pepito

Lesson 16: Inverse Trigonometric Functions
Lesson 16: Inverse Trigonometric FunctionsLesson 16: Inverse Trigonometric Functions
Lesson 16: Inverse Trigonometric FunctionsMel Anthony Pepito
 
Lesson 11: Implicit Differentiation
Lesson 11: Implicit DifferentiationLesson 11: Implicit Differentiation
Lesson 11: Implicit Differentiation
Mel Anthony Pepito
 
Lesson 12: Linear Approximation
Lesson 12: Linear ApproximationLesson 12: Linear Approximation
Lesson 12: Linear ApproximationMel Anthony Pepito
 
Lesson 13: Related Rates Problems
Lesson 13: Related Rates ProblemsLesson 13: Related Rates Problems
Lesson 13: Related Rates ProblemsMel Anthony Pepito
 
Lesson 14: Derivatives of Logarithmic and Exponential Functions
Lesson 14: Derivatives of Logarithmic and Exponential FunctionsLesson 14: Derivatives of Logarithmic and Exponential Functions
Lesson 14: Derivatives of Logarithmic and Exponential FunctionsMel Anthony Pepito
 
Lesson 15: Exponential Growth and Decay
Lesson 15: Exponential Growth and DecayLesson 15: Exponential Growth and Decay
Lesson 15: Exponential Growth and DecayMel Anthony Pepito
 
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 RuleMel Anthony Pepito
 
Lesson18 -maximum_and_minimum_values_slides
Lesson18 -maximum_and_minimum_values_slidesLesson18 -maximum_and_minimum_values_slides
Lesson18 -maximum_and_minimum_values_slidesMel Anthony Pepito
 
Lesson 19: The Mean Value Theorem
Lesson 19: The Mean Value TheoremLesson 19: The Mean Value Theorem
Lesson 19: The Mean Value TheoremMel Anthony Pepito
 
Lesson 25: The Definite Integral
Lesson 25: The Definite IntegralLesson 25: The Definite Integral
Lesson 25: The Definite IntegralMel Anthony Pepito
 
Lesson22 -optimization_problems_slides
Lesson22 -optimization_problems_slidesLesson22 -optimization_problems_slides
Lesson22 -optimization_problems_slidesMel Anthony Pepito
 
Lesson 26: Evaluating Definite Integrals
Lesson 26: Evaluating Definite IntegralsLesson 26: Evaluating Definite Integrals
Lesson 26: Evaluating Definite IntegralsMel Anthony Pepito
 
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
 
Introduction
IntroductionIntroduction
Introduction
Mel Anthony Pepito
 
Lesson 28: Integration by Subsitution
Lesson 28: Integration by SubsitutionLesson 28: Integration by Subsitution
Lesson 28: Integration by SubsitutionMel Anthony Pepito
 
Introduction
IntroductionIntroduction
Introduction
Mel Anthony Pepito
 
Lesson 3: Limits (Section 21 slides)
Lesson 3: Limits (Section 21 slides)Lesson 3: Limits (Section 21 slides)
Lesson 3: Limits (Section 21 slides)Mel Anthony Pepito
 

More from Mel Anthony Pepito (20)

Lesson 16: Inverse Trigonometric Functions
Lesson 16: Inverse Trigonometric FunctionsLesson 16: Inverse Trigonometric Functions
Lesson 16: Inverse Trigonometric Functions
 
Lesson 11: Implicit Differentiation
Lesson 11: Implicit DifferentiationLesson 11: Implicit Differentiation
Lesson 11: Implicit Differentiation
 
Lesson 12: Linear Approximation
Lesson 12: Linear ApproximationLesson 12: Linear Approximation
Lesson 12: Linear Approximation
 
Lesson 13: Related Rates Problems
Lesson 13: Related Rates ProblemsLesson 13: Related Rates Problems
Lesson 13: Related Rates Problems
 
Lesson 14: Derivatives of Logarithmic and Exponential Functions
Lesson 14: Derivatives of Logarithmic and Exponential FunctionsLesson 14: Derivatives of Logarithmic and Exponential Functions
Lesson 14: Derivatives of Logarithmic and Exponential Functions
 
Lesson 15: Exponential Growth and Decay
Lesson 15: Exponential Growth and DecayLesson 15: Exponential Growth and Decay
Lesson 15: Exponential Growth and Decay
 
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 21: Curve Sketching
Lesson 21: Curve SketchingLesson 21: Curve Sketching
Lesson 21: Curve Sketching
 
Lesson18 -maximum_and_minimum_values_slides
Lesson18 -maximum_and_minimum_values_slidesLesson18 -maximum_and_minimum_values_slides
Lesson18 -maximum_and_minimum_values_slides
 
Lesson 19: The Mean Value Theorem
Lesson 19: The Mean Value TheoremLesson 19: The Mean Value Theorem
Lesson 19: The Mean Value Theorem
 
Lesson 25: The Definite Integral
Lesson 25: The Definite IntegralLesson 25: The Definite Integral
Lesson 25: The Definite Integral
 
Lesson22 -optimization_problems_slides
Lesson22 -optimization_problems_slidesLesson22 -optimization_problems_slides
Lesson22 -optimization_problems_slides
 
Lesson 24: Area and Distances
Lesson 24: Area and DistancesLesson 24: Area and Distances
Lesson 24: Area and Distances
 
Lesson 23: Antiderivatives
Lesson 23: AntiderivativesLesson 23: Antiderivatives
Lesson 23: Antiderivatives
 
Lesson 26: Evaluating Definite Integrals
Lesson 26: Evaluating Definite IntegralsLesson 26: Evaluating Definite Integrals
Lesson 26: Evaluating Definite Integrals
 
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
 
Introduction
IntroductionIntroduction
Introduction
 
Lesson 28: Integration by Subsitution
Lesson 28: Integration by SubsitutionLesson 28: Integration by Subsitution
Lesson 28: Integration by Subsitution
 
Introduction
IntroductionIntroduction
Introduction
 
Lesson 3: Limits (Section 21 slides)
Lesson 3: Limits (Section 21 slides)Lesson 3: Limits (Section 21 slides)
Lesson 3: Limits (Section 21 slides)
 

Recently uploaded

Generating a custom Ruby SDK for your web service or Rails API using Smithy
Generating a custom Ruby SDK for your web service or Rails API using SmithyGenerating a custom Ruby SDK for your web service or Rails API using Smithy
Generating a custom Ruby SDK for your web service or Rails API using Smithy
g2nightmarescribd
 
Dev Dives: Train smarter, not harder – active learning and UiPath LLMs for do...
Dev Dives: Train smarter, not harder – active learning and UiPath LLMs for do...Dev Dives: Train smarter, not harder – active learning and UiPath LLMs for do...
Dev Dives: Train smarter, not harder – active learning and UiPath LLMs for do...
UiPathCommunity
 
The Future of Platform Engineering
The Future of Platform EngineeringThe Future of Platform Engineering
The Future of Platform Engineering
Jemma Hussein Allen
 
State of ICS and IoT Cyber Threat Landscape Report 2024 preview
State of ICS and IoT Cyber Threat Landscape Report 2024 previewState of ICS and IoT Cyber Threat Landscape Report 2024 preview
State of ICS and IoT Cyber Threat Landscape Report 2024 preview
Prayukth K V
 
DevOps and Testing slides at DASA Connect
DevOps and Testing slides at DASA ConnectDevOps and Testing slides at DASA Connect
DevOps and Testing slides at DASA Connect
Kari Kakkonen
 
Essentials of Automations: Optimizing FME Workflows with Parameters
Essentials of Automations: Optimizing FME Workflows with ParametersEssentials of Automations: Optimizing FME Workflows with Parameters
Essentials of Automations: Optimizing FME Workflows with Parameters
Safe Software
 
Unsubscribed: Combat Subscription Fatigue With a Membership Mentality by Head...
Unsubscribed: Combat Subscription Fatigue With a Membership Mentality by Head...Unsubscribed: Combat Subscription Fatigue With a Membership Mentality by Head...
Unsubscribed: Combat Subscription Fatigue With a Membership Mentality by Head...
Product School
 
From Siloed Products to Connected Ecosystem: Building a Sustainable and Scala...
From Siloed Products to Connected Ecosystem: Building a Sustainable and Scala...From Siloed Products to Connected Ecosystem: Building a Sustainable and Scala...
From Siloed Products to Connected Ecosystem: Building a Sustainable and Scala...
Product School
 
Designing Great Products: The Power of Design and Leadership by Chief Designe...
Designing Great Products: The Power of Design and Leadership by Chief Designe...Designing Great Products: The Power of Design and Leadership by Chief Designe...
Designing Great Products: The Power of Design and Leadership by Chief Designe...
Product School
 
AI for Every Business: Unlocking Your Product's Universal Potential by VP of ...
AI for Every Business: Unlocking Your Product's Universal Potential by VP of ...AI for Every Business: Unlocking Your Product's Universal Potential by VP of ...
AI for Every Business: Unlocking Your Product's Universal Potential by VP of ...
Product School
 
Mission to Decommission: Importance of Decommissioning Products to Increase E...
Mission to Decommission: Importance of Decommissioning Products to Increase E...Mission to Decommission: Importance of Decommissioning Products to Increase E...
Mission to Decommission: Importance of Decommissioning Products to Increase E...
Product School
 
JMeter webinar - integration with InfluxDB and Grafana
JMeter webinar - integration with InfluxDB and GrafanaJMeter webinar - integration with InfluxDB and Grafana
JMeter webinar - integration with InfluxDB and Grafana
RTTS
 
Slack (or Teams) Automation for Bonterra Impact Management (fka Social Soluti...
Slack (or Teams) Automation for Bonterra Impact Management (fka Social Soluti...Slack (or Teams) Automation for Bonterra Impact Management (fka Social Soluti...
Slack (or Teams) Automation for Bonterra Impact Management (fka Social Soluti...
Jeffrey Haguewood
 
To Graph or Not to Graph Knowledge Graph Architectures and LLMs
To Graph or Not to Graph Knowledge Graph Architectures and LLMsTo Graph or Not to Graph Knowledge Graph Architectures and LLMs
To Graph or Not to Graph Knowledge Graph Architectures and LLMs
Paul Groth
 
Key Trends Shaping the Future of Infrastructure.pdf
Key Trends Shaping the Future of Infrastructure.pdfKey Trends Shaping the Future of Infrastructure.pdf
Key Trends Shaping the Future of Infrastructure.pdf
Cheryl Hung
 
De-mystifying Zero to One: Design Informed Techniques for Greenfield Innovati...
De-mystifying Zero to One: Design Informed Techniques for Greenfield Innovati...De-mystifying Zero to One: Design Informed Techniques for Greenfield Innovati...
De-mystifying Zero to One: Design Informed Techniques for Greenfield Innovati...
Product School
 
How world-class product teams are winning in the AI era by CEO and Founder, P...
How world-class product teams are winning in the AI era by CEO and Founder, P...How world-class product teams are winning in the AI era by CEO and Founder, P...
How world-class product teams are winning in the AI era by CEO and Founder, P...
Product School
 
Neuro-symbolic is not enough, we need neuro-*semantic*
Neuro-symbolic is not enough, we need neuro-*semantic*Neuro-symbolic is not enough, we need neuro-*semantic*
Neuro-symbolic is not enough, we need neuro-*semantic*
Frank van Harmelen
 
When stars align: studies in data quality, knowledge graphs, and machine lear...
When stars align: studies in data quality, knowledge graphs, and machine lear...When stars align: studies in data quality, knowledge graphs, and machine lear...
When stars align: studies in data quality, knowledge graphs, and machine lear...
Elena Simperl
 
Knowledge engineering: from people to machines and back
Knowledge engineering: from people to machines and backKnowledge engineering: from people to machines and back
Knowledge engineering: from people to machines and back
Elena Simperl
 

Recently uploaded (20)

Generating a custom Ruby SDK for your web service or Rails API using Smithy
Generating a custom Ruby SDK for your web service or Rails API using SmithyGenerating a custom Ruby SDK for your web service or Rails API using Smithy
Generating a custom Ruby SDK for your web service or Rails API using Smithy
 
Dev Dives: Train smarter, not harder – active learning and UiPath LLMs for do...
Dev Dives: Train smarter, not harder – active learning and UiPath LLMs for do...Dev Dives: Train smarter, not harder – active learning and UiPath LLMs for do...
Dev Dives: Train smarter, not harder – active learning and UiPath LLMs for do...
 
The Future of Platform Engineering
The Future of Platform EngineeringThe Future of Platform Engineering
The Future of Platform Engineering
 
State of ICS and IoT Cyber Threat Landscape Report 2024 preview
State of ICS and IoT Cyber Threat Landscape Report 2024 previewState of ICS and IoT Cyber Threat Landscape Report 2024 preview
State of ICS and IoT Cyber Threat Landscape Report 2024 preview
 
DevOps and Testing slides at DASA Connect
DevOps and Testing slides at DASA ConnectDevOps and Testing slides at DASA Connect
DevOps and Testing slides at DASA Connect
 
Essentials of Automations: Optimizing FME Workflows with Parameters
Essentials of Automations: Optimizing FME Workflows with ParametersEssentials of Automations: Optimizing FME Workflows with Parameters
Essentials of Automations: Optimizing FME Workflows with Parameters
 
Unsubscribed: Combat Subscription Fatigue With a Membership Mentality by Head...
Unsubscribed: Combat Subscription Fatigue With a Membership Mentality by Head...Unsubscribed: Combat Subscription Fatigue With a Membership Mentality by Head...
Unsubscribed: Combat Subscription Fatigue With a Membership Mentality by Head...
 
From Siloed Products to Connected Ecosystem: Building a Sustainable and Scala...
From Siloed Products to Connected Ecosystem: Building a Sustainable and Scala...From Siloed Products to Connected Ecosystem: Building a Sustainable and Scala...
From Siloed Products to Connected Ecosystem: Building a Sustainable and Scala...
 
Designing Great Products: The Power of Design and Leadership by Chief Designe...
Designing Great Products: The Power of Design and Leadership by Chief Designe...Designing Great Products: The Power of Design and Leadership by Chief Designe...
Designing Great Products: The Power of Design and Leadership by Chief Designe...
 
AI for Every Business: Unlocking Your Product's Universal Potential by VP of ...
AI for Every Business: Unlocking Your Product's Universal Potential by VP of ...AI for Every Business: Unlocking Your Product's Universal Potential by VP of ...
AI for Every Business: Unlocking Your Product's Universal Potential by VP of ...
 
Mission to Decommission: Importance of Decommissioning Products to Increase E...
Mission to Decommission: Importance of Decommissioning Products to Increase E...Mission to Decommission: Importance of Decommissioning Products to Increase E...
Mission to Decommission: Importance of Decommissioning Products to Increase E...
 
JMeter webinar - integration with InfluxDB and Grafana
JMeter webinar - integration with InfluxDB and GrafanaJMeter webinar - integration with InfluxDB and Grafana
JMeter webinar - integration with InfluxDB and Grafana
 
Slack (or Teams) Automation for Bonterra Impact Management (fka Social Soluti...
Slack (or Teams) Automation for Bonterra Impact Management (fka Social Soluti...Slack (or Teams) Automation for Bonterra Impact Management (fka Social Soluti...
Slack (or Teams) Automation for Bonterra Impact Management (fka Social Soluti...
 
To Graph or Not to Graph Knowledge Graph Architectures and LLMs
To Graph or Not to Graph Knowledge Graph Architectures and LLMsTo Graph or Not to Graph Knowledge Graph Architectures and LLMs
To Graph or Not to Graph Knowledge Graph Architectures and LLMs
 
Key Trends Shaping the Future of Infrastructure.pdf
Key Trends Shaping the Future of Infrastructure.pdfKey Trends Shaping the Future of Infrastructure.pdf
Key Trends Shaping the Future of Infrastructure.pdf
 
De-mystifying Zero to One: Design Informed Techniques for Greenfield Innovati...
De-mystifying Zero to One: Design Informed Techniques for Greenfield Innovati...De-mystifying Zero to One: Design Informed Techniques for Greenfield Innovati...
De-mystifying Zero to One: Design Informed Techniques for Greenfield Innovati...
 
How world-class product teams are winning in the AI era by CEO and Founder, P...
How world-class product teams are winning in the AI era by CEO and Founder, P...How world-class product teams are winning in the AI era by CEO and Founder, P...
How world-class product teams are winning in the AI era by CEO and Founder, P...
 
Neuro-symbolic is not enough, we need neuro-*semantic*
Neuro-symbolic is not enough, we need neuro-*semantic*Neuro-symbolic is not enough, we need neuro-*semantic*
Neuro-symbolic is not enough, we need neuro-*semantic*
 
When stars align: studies in data quality, knowledge graphs, and machine lear...
When stars align: studies in data quality, knowledge graphs, and machine lear...When stars align: studies in data quality, knowledge graphs, and machine lear...
When stars align: studies in data quality, knowledge graphs, and machine lear...
 
Knowledge engineering: from people to machines and back
Knowledge engineering: from people to machines and backKnowledge engineering: from people to machines and back
Knowledge engineering: from people to machines and back
 

Lesson 9: The Product and Quotient Rules (slides)

  • 1. Sec on 2.4 The Product and Quo ent Rules V63.0121.011: Calculus I Professor Ma hew Leingang New York University February 23, 2011 .
  • 2. Announcements Quiz 2 next week on §§1.5, 1.6, 2.1, 2.2 Midterm March 7 on all sec ons in class (covers all sec ons up to 2.5)
  • 3. Help! Free resources: Math Tutoring Center (CIWW 524) College Learning Center (schedule on Blackboard) TAs’ office hours my office hours each other!
  • 4. Objectives Understand and be able to use the Product Rule for the deriva ve of the product of two func ons. Understand and be able to use the Quo ent Rule for the deriva ve of the quo ent of two func ons.
  • 5. Outline Deriva ve of a Product Deriva on Examples The Quo ent Rule Deriva on Examples More deriva ves of trigonometric func ons Deriva ve of Tangent and Cotangent Deriva ve of Secant and Cosecant More on the Power Rule Power Rule for Nega ve Integers
  • 6. Recollection and extension We have shown that if u and v are func ons, that (u + v)′ = u′ + v′ (u − v)′ = u′ − v′ What about uv?
  • 7. Is the derivative of a product the product of the derivatives? (uv)′ = u′ v′ ? .
  • 8. Is the derivative of a product the product of the derivatives? (uv)′ = u′ v′ ! . Try this with u = x and v = x2 .
  • 9. Is the derivative of a product the product of the derivatives? (uv)′ = u′ v′ ! . Try this with u = x and v = x2 . Then uv = x3 =⇒ (uv)′ = 3x2 .
  • 10. Is the derivative of a product the product of the derivatives? (uv)′ = u′ v′ ! . Try this with u = x and v = x2 . Then uv = x3 =⇒ (uv)′ = 3x2 . But u′ v′ = 1 · 2x = 2x.
  • 11. Is the derivative of a product the product of the derivatives? (uv)′ = u′ v′ ! . Try this with u = x and v = x2 . Then uv = x3 =⇒ (uv)′ = 3x2 . But u′ v′ = 1 · 2x = 2x. So we have to be more careful.
  • 12. Mmm...burgers Say you work in a fast-food joint. You want to make more money. What are your choices? .
  • 13. Mmm...burgers Say you work in a fast-food joint. You want to make more money. What are your choices? Work longer hours. .
  • 14. Mmm...burgers Say you work in a fast-food joint. You want to make more money. What are your choices? Work longer hours. Get a raise. .
  • 15. Mmm...burgers Say you work in a fast-food joint. You want to make more money. What are your choices? Work longer hours. Get a raise. Say you get a 25 cent raise in your hourly wages and work 5 hours more per week. How much extra money do you make? .
  • 16. Mmm...burgers Say you work in a fast-food joint. You want to make more money. What are your choices? Work longer hours. Get a raise. Say you get a 25 cent raise in your hourly wages and work 5 hours more per week. How much extra money do you make? . ∆I = 5 × $0.25 = $1.25?
  • 17. Mmm...burgers Say you work in a fast-food joint. You want to make more money. What are your choices? Work longer hours. Get a raise. Say you get a 25 cent raise in your hourly wages and work 5 hours more per week. How much extra money do you make? . ∆I = 5 × $0.25 = $1.25?
  • 18. Money money money money The answer depends on how much you work already and your current wage. Suppose you work h hours and are paid w. You get a me increase of ∆h and a wage increase of ∆w. Income is wages mes hours, so ∆I = (w + ∆w)(h + ∆h) − wh FOIL = w · h + w · ∆h + ∆w · h + ∆w · ∆h − wh = w · ∆h + ∆w · h + ∆w · ∆h
  • 19. A geometric argument Draw a box: ∆h w ∆h ∆w ∆h h wh ∆w h . w ∆w
  • 20. A geometric argument Draw a box: ∆h w ∆h ∆w ∆h h wh ∆w h . w ∆w ∆I = w ∆h + h ∆w + ∆w ∆h
  • 21. Cash flow Supose wages and hours are changing con nuously over me. Over a me interval ∆t, what is the average rate of change of income? ∆I w ∆h + h ∆w + ∆w ∆h = ∆t ∆t ∆h ∆w ∆h =w +h + ∆w ∆t ∆t ∆t
  • 22. Cash flow Supose wages and hours are changing con nuously over me. Over a me interval ∆t, what is the average rate of change of income? ∆I w ∆h + h ∆w + ∆w ∆h = ∆t ∆t ∆h ∆w ∆h =w +h + ∆w ∆t ∆t ∆t What is the instantaneous rate of change of income? dI ∆I dh dw = lim =w +h +0 dt ∆t→0 ∆t dt dt
  • 23. Eurekamen! We have discovered Theorem (The Product Rule) Let u and v be differen able at x. Then (uv)′ (x) = u(x)v′ (x) + u′ (x)v(x) in Leibniz nota on d du dv (uv) = ·v+u dx dx dx
  • 24. Sanity Check Example Apply the product rule to u = x and v = x2 .
  • 25. Sanity Check Example Apply the product rule to u = x and v = x2 . Solu on (uv)′ (x) = u(x)v′ (x) + u′ (x)v(x) = x · (2x) + 1 · x2 = 3x2 This is what we get the “normal” way.
  • 26. Which is better? Example Find this deriva ve two ways: first by direct mul plica on and then by the product rule: d [ ] (3 − x2 )(x3 − x + 1) dx
  • 27. Which is better? Example d [ ] (3 − x2 )(x3 − x + 1) dx
  • 28. Which is better? Example d [ ] (3 − x2 )(x3 − x + 1) dx Solu on by direct mul plica on: d [ ] FOIL d [ 5 ] (3 − x2 )(x3 − x + 1) = −x + 4x3 − x2 − 3x + 3 dx dx
  • 29. Which is better? Example d [ ] (3 − x2 )(x3 − x + 1) dx Solu on by direct mul plica on: d [ ] FOIL d [ 5 ] (3 − x2 )(x3 − x + 1) = −x + 4x3 − x2 − 3x + 3 dx dx = −5x4 + 12x2 − 2x − 3
  • 30. Which is better? Example d [ ] (3 − x2 )(x3 − x + 1) dx Solu on by the product rule: ( ) ( ) dy d d 3 = (3 − x ) (x − x + 1) + (3 − x ) 2 3 2 (x − x + 1) dx dx dx
  • 31. Which is better? Example d [ ] (3 − x2 )(x3 − x + 1) dx Solu on by the product rule: ( ) ( ) dy d d 3 = (3 − x ) (x − x + 1) + (3 − x ) 2 3 2 (x − x + 1) dx dx dx = (−2x)(x3 − x + 1) + (3 − x2 )(3x2 − 1)
  • 32. Which is better? Example d [ ] (3 − x2 )(x3 − x + 1) dx Solu on by the product rule: ( ) ( ) dy d d 3 = (3 − x ) (x − x + 1) + (3 − x ) 2 3 2 (x − x + 1) dx dx dx = (−2x)(x3 − x + 1) + (3 − x2 )(3x2 − 1)
  • 33. Which is better? Example d [ ] (3 − x2 )(x3 − x + 1) dx Solu on by the product rule: ( ) ( ) dy d d 3 = (3 − x ) (x − x + 1) + (3 − x ) 2 3 2 (x − x + 1) dx dx dx = (−2x)(x3 − x + 1) + (3 − x2 )(3x2 − 1)
  • 34. Which is better? Example d [ ] (3 − x2 )(x3 − x + 1) dx Solu on by the product rule: ( ) ( ) dy d d 3 = (3 − x ) (x − x + 1) + (3 − x ) 2 3 2 (x − x + 1) dx dx dx = (−2x)(x3 − x + 1) + (3 − x2 )(3x2 − 1)
  • 35. Which is better? Example d [ ] (3 − x2 )(x3 − x + 1) dx Solu on by the product rule: ( ) ( ) dy d d 3 = (3 − x ) (x − x + 1) + (3 − x ) 2 3 2 (x − x + 1) dx dx dx = (−2x)(x3 − x + 1) + (3 − x2 )(3x2 − 1)
  • 36. Which is better? Example d [ ] (3 − x2 )(x3 − x + 1) dx Solu on by the product rule: ( ) ( ) dy d d 3 = (3 − x ) (x − x + 1) + (3 − x ) 2 3 2 (x − x + 1) dx dx dx = (−2x)(x3 − x + 1) + (3 − x2 )(3x2 − 1) = −5x4 + 12x2 − 2x − 3
  • 37. One more Example d Find x sin x. dx
  • 38. One more Example d Find x sin x. dx Solu on ( ) ( ) d d d x sin x = x sin x + x sin x dx dx dx
  • 39. One more Example d Find x sin x. dx Solu on ( ) ( ) d d d x sin x = x sin x + x sin x dx dx dx = 1 · sin x + x · cos x
  • 40. One more Example d Find x sin x. dx Solu on ( ) ( ) d d d x sin x = x sin x + x sin x dx dx dx = 1 · sin x + x · cos x = sin x + x cos x
  • 41. Mnemonic Let u = “hi” and v = “ho”. Then (uv)′ = vu′ + uv′ = “ho dee hi plus hi dee ho”
  • 42. Musical interlude jazz bandleader and singer hit song “Minnie the Moocher” featuring “hi de ho” chorus played Cur s in The Blues Brothers Cab Calloway 1907–1994
  • 43. Iterating the Product Rule Example Use the product rule to find the deriva ve of a three-fold product uvw.
  • 44. Iterating the Product Rule Example Use the product rule to find the deriva ve of a three-fold product uvw. Solu on (uvw)′ .
  • 45. Iterating the Product Rule Example Use the product rule to find the deriva ve of a three-fold product uvw. Solu on (uvw)′ = ((uv)w)′ .
  • 46. Iterating the Product Rule Example Apply the product Use the product rule to find the deriva ve of a three-fold product uvw. rule to uv and w Solu on (uvw)′ = ((uv)w)′ .
  • 47. Iterating the Product Rule Example Apply the product Use the product rule to find the deriva ve of a three-fold product uvw. rule to uv and w Solu on (uvw)′ = ((uv)w)′ . = (uv)′ w + (uv)w′ .
  • 48. Iterating the Product Rule Example Use the product rule to find the deriva ve of a three-fold product uvw.product Apply the rule to u and v Solu on (uvw)′ = ((uv)w)′ . = (uv)′ w + (uv)w′ .
  • 49. Iterating the Product Rule Example Use the product rule to find the deriva ve of a three-fold product uvw.product Apply the rule to u and v Solu on (uvw)′ = ((uv)w)′ . = (uv)′ w + (uv)w′ . = (u′ v + uv′ )w + (uv)w′
  • 50. Iterating the Product Rule Example Use the product rule to find the deriva ve of a three-fold product uvw. Solu on (uvw)′ = ((uv)w)′ . = (uv)′ w + (uv)w′ . = (u′ v + uv′ )w + (uv)w′ = u′ vw + uv′ w + uvw′
  • 51. Iterating the Product Rule Example Use the product rule to find the deriva ve of a three-fold product uvw. Solu on (uvw)′ = ((uv)w)′ . = (uv)′ w + (uv)w′ . = (u′ v + uv′ )w + (uv)w′ = u′ vw + uv′ w + uvw′ So we write down the product three mes, taking the deriva ve of each factor once.
  • 52. Outline Deriva ve of a Product Deriva on Examples The Quo ent Rule Deriva on Examples More deriva ves of trigonometric func ons Deriva ve of Tangent and Cotangent Deriva ve of Secant and Cosecant More on the Power Rule Power Rule for Nega ve Integers
  • 53. The Quotient Rule What about the deriva ve of a quo ent?
  • 54. The Quotient Rule What about the deriva ve of a quo ent? u Let u and v be differen able func ons and let Q = . Then v u = Qv
  • 55. The Quotient Rule What about the deriva ve of a quo ent? u Let u and v be differen able func ons and let Q = . Then v u = Qv If Q is differen able, we have u′ = (Qv)′ = Q′ v + Qv′
  • 56. The Quotient Rule What about the deriva ve of a quo ent? u Let u and v be differen able func ons and let Q = . Then v u = Qv If Q is differen able, we have u′ = (Qv)′ = Q′ v + Qv′ ′ u′ − Qv′ u′ u v′ =⇒ Q = = − · v v v v
  • 57. The Quotient Rule What about the deriva ve of a quo ent? u Let u and v be differen able func ons and let Q = . Then v u = Qv If Q is differen able, we have u′ = (Qv)′ = Q′ v + Qv′ ′ u′ − Qv′ u′ u v′ =⇒ Q = = − · v v v v ( u )′ u′ v − uv′ =⇒ Q′ = = v v2
  • 58. The Quotient Rule What about the deriva ve of a quo ent? u Let u and v be differen able func ons and let Q = . Then v u = Qv If Q is differen able, we have u′ = (Qv)′ = Q′ v + Qv′ ′ u′ − Qv′ u′ u v′ =⇒ Q = = − · v v v v ( u )′ u′ v − uv′ =⇒ Q′ = = v v2 This is called the Quo ent Rule.
  • 59. The Quotient Rule We have discovered Theorem (The Quo ent Rule) u Let u and v be differen able at x, and v(x) ̸= 0. Then is v differen able at x, and ( u )′ u′ (x)v(x) − u(x)v′ (x) (x) = v v(x)2
  • 60. Verifying Example Example ( ) d x2 d Verify the quo ent rule by compu ng and comparing it to (x). dx x dx
  • 61. Verifying Example Example ( ) d x2 d Verify the quo ent rule by compu ng and comparing it to (x). dx x dx Solu on ( 2) ( ) d x x dx x2 − x2 dx (x) x · 2x − x2 · 1 d d = = dx x x2 x2 x2 d = 2 =1= (x) x dx
  • 62. Mnemonic Let u = “hi” and v = “lo”. Then ( u )′ vu′ − uv′ = = “lo dee hi minus hi dee lo over lo lo” v v2
  • 63. Examples Example d 2x + 5 1. dx 3x − 2 d sin x 2. dx x2 d 1 3. 2+t+2 dt t
  • 64. Solution to first example Solu on d 2x + 5 dx 3x − 2
  • 65. Solution to first example Solu on d 2x + 5 (3x − 2) dx (2x + 5) − (2x + 5) dx (3x − 2) d d = dx 3x − 2 (3x − 2)2
  • 66. Solution to first example Solu on d 2x + 5 (3x − 2) dx (2x + 5) − (2x + 5) dx (3x − 2) d d = dx 3x − 2 (3x − 2)2
  • 67. Solution to first example Solu on d 2x + 5 (3x − 2) dx (2x + 5) − (2x + 5) dx (3x − 2) d d = dx 3x − 2 (3x − 2)2
  • 68. Solution to first example Solu on d 2x + 5 (3x − 2) dx (2x + 5) − (2x + 5) dx (3x − 2) d d = dx 3x − 2 (3x − 2)2
  • 69. Solution to first example Solu on d 2x + 5 (3x − 2) dx (2x + 5) − (2x + 5) dx (3x − 2) d d = dx 3x − 2 (3x − 2)2
  • 70. Solution to first example Solu on d 2x + 5 (3x − 2) dx (2x + 5) − (2x + 5) dx (3x − 2) d d = dx 3x − 2 (3x − 2)2
  • 71. Solution to first example Solu on d 2x + 5 (3x − 2) dx (2x + 5) − (2x + 5) dx (3x − 2) d d = dx 3x − 2 (3x − 2)2 (3x − 2)(2) − (2x + 5)(3) = (3x − 2)2
  • 72. Solution to first example Solu on d 2x + 5 (3x − 2) dx (2x + 5) − (2x + 5) dx (3x − 2) d d = dx 3x − 2 (3x − 2)2 (3x − 2)(2) − (2x + 5)(3) = (3x − 2)2
  • 73. Solution to first example Solu on d 2x + 5 (3x − 2) dx (2x + 5) − (2x + 5) dx (3x − 2) d d = dx 3x − 2 (3x − 2)2 (3x − 2)(2) − (2x + 5)(3) = (3x − 2)2
  • 74. Solution to first example Solu on d 2x + 5 (3x − 2) dx (2x + 5) − (2x + 5) dx (3x − 2) d d = dx 3x − 2 (3x − 2)2 (3x − 2)(2) − (2x + 5)(3) = (3x − 2)2
  • 75. Solution to first example Solu on d 2x + 5 (3x − 2) dx (2x + 5) − (2x + 5) dx (3x − 2) d d = dx 3x − 2 (3x − 2)2 (3x − 2)(2) − (2x + 5)(3) = (3x − 2)2
  • 76. Solution to first example Solu on d 2x + 5 (3x − 2) dx (2x + 5) − (2x + 5) dx (3x − 2) d d = dx 3x − 2 (3x − 2)2 (3x − 2)(2) − (2x + 5)(3) = (3x − 2)2 (6x − 4) − (6x + 15) = (3x − 2)2
  • 77. Solution to first example Solu on d 2x + 5 (3x − 2) dx (2x + 5) − (2x + 5) dx (3x − 2) d d = dx 3x − 2 (3x − 2)2 (3x − 2)(2) − (2x + 5)(3) = (3x − 2)2 (6x − 4) − (6x + 15) 19 = =− (3x − 2)2 (3x − 2)2
  • 78. Examples Example Answers d 2x + 5 19 1. 1. − dx 3x − 2 (3x − 2)2 d sin x 2. dx x2 d 1 3. 2+t+2 dt t
  • 79. Solution to second example Solu on d sin x = dx x2
  • 80. Solution to second example Solu on d sin x x2 = dx x2
  • 81. Solution to second example Solu on d d sin x x2 dx sin x = dx x2
  • 82. Solution to second example Solu on d sin x x2 dx sin x − sin x d = dx x2
  • 83. Solution to second example Solu on d sin x x2 dx sin x − sin x dx x2 d d = dx x2
  • 84. Solution to second example Solu on d sin x x2 dx sin x − sin x dx x2 d d = dx x2 (x2 )2
  • 85. Solution to second example Solu on d sin x x2 dx sin x − sin x dx x2 d d = dx x2 (x2 )2 =
  • 86. Solution to second example Solu on d sin x x2 dx sin x − sin x dx x2 d d = dx x2 (x2 )2 x2 =
  • 87. Solution to second example Solu on d sin x x2 dx sin x − sin x dx x2 d d = dx x2 (x2 )2 x2 cos x =
  • 88. Solution to second example Solu on d sin x x2 dx sin x − sin x dx x2 d d = dx x2 (x2 )2 x2 cos x − 2x =
  • 89. Solution to second example Solu on d sin x x2 dx sin x − sin x dx x2 d d = dx x2 (x2 )2 x2 cos x − 2x sin x =
  • 90. Solution to second example Solu on d sin x x2 dx sin x − sin x dx x2 d d = dx x2 (x2 )2 x2 cos x − 2x sin x = x4
  • 91. Solution to second example Solu on d sin x x2 dx sin x − sin x dx x2 d d = dx x2 (x2 )2 x2 cos x − 2x sin x = x4 x cos x − 2 sin x = x3
  • 92. Another way to do it Find the deriva ve with the product rule instead. Solu on d sin x d ( ) 2 = sin x · x−2 dx x dx ( ) ( ) d −2 d −2 = sin x · x + sin x · x dx dx = cos x · x−2 + sin x · (−2x−3 ) = x−3 (x cos x − 2 sin x) No ce the technique of factoring out the largest nega ve power, leaving posi ve powers.
  • 93. Examples Example Answers d 2x + 5 19 1. 1. − dx 3x − 2 (3x − 2)2 d sin x x cos x − 2 sin x 2. 2. dx x2 x3 d 1 3. 2+t+2 dt t
  • 94. Solution to third example Solu on d 1 dt t2 + t + 2
  • 95. Solution to third example Solu on d 1 (t2 + t + 2)(0) − (1)(2t + 1) = dt t2 + t + 2 (t2 + t + 2)2
  • 96. Solution to third example Solu on d 1 (t2 + t + 2)(0) − (1)(2t + 1) = dt t2 + t + 2 (t2 + t + 2)2 2t + 1 =− 2 (t + t + 2)2
  • 97. A nice little takeaway Fact 1 Let v be differen able at x, and v(x) ̸= 0. Then is differen able at v 0, and ( )′ 1 v′ =− 2 v v Proof. ( ) d 1 v· d dx (1)−1· d dx v v · 0 − 1 · v′ v′ = = =− 2 dx v v2 v2 v
  • 98. Examples Example Answers d 2x + 5 19 1. 1. − dx 3x − 2 (3x − 2)2 d sin x x cos x − 2 sin x 2. 2. dx x2 x3 d 1 2t + 1 3. 3. − 2 dt t2+t+2 (t + t + 2)2
  • 99. Outline Deriva ve of a Product Deriva on Examples The Quo ent Rule Deriva on Examples More deriva ves of trigonometric func ons Deriva ve of Tangent and Cotangent Deriva ve of Secant and Cosecant More on the Power Rule Power Rule for Nega ve Integers
  • 100. Derivative of Tangent Example d Find tan x dx
  • 101. Derivative of Tangent Example d Find tan x dx Solu on ( ) d d sin x tan x = dx dx cos x
  • 102. Derivative of Tangent Example d Find tan x dx Solu on ( ) d d sin x cos x · cos x − sin x · (− sin x) tan x = = dx dx cos x cos2 x
  • 103. Derivative of Tangent Example d Find tan x dx Solu on ( ) d d sin x cos x · cos x − sin x · (− sin x) tan x = = dx dx cos x cos2 x cos2 x + sin2 x = cos2 x
  • 104. Derivative of Tangent Example d Find tan x dx Solu on ( ) d d sin x cos x · cos x − sin x · (− sin x) tan x = = dx dx cos x cos2 x cos2 x + sin2 x 1 = = cos2 x cos2 x
  • 105. Derivative of Tangent Example d Find tan x dx Solu on ( ) d d sin x cos x · cos x − sin x · (− sin x) tan x = = dx dx cos x cos2 x cos2 x + sin2 x 1 = 2x = 2x = sec2 x cos cos
  • 106. Derivative of Cotangent Example d Find cot x dx
  • 107. Derivative of Cotangent Example d Find cot x dx Answer d 1 cot x = − 2 = − csc2 x dx sin x
  • 108. Derivative of Cotangent Example d Find cot x dx Solu on d d ( cos x ) sin x · (− sin x) − cos x · cos x cot x = = dx dx sin x sin2 x
  • 109. Derivative of Cotangent Example d Find cot x dx Solu on d d ( cos x ) sin x · (− sin x) − cos x · cos x cot x = = dx dx sin x sin2 x − sin2 x − cos2 x = sin2 x
  • 110. Derivative of Cotangent Example d Find cot x dx Solu on d d ( cos x ) sin x · (− sin x) − cos x · cos x cot x = = dx dx sin x sin2 x − sin2 x − cos2 x 1 = =− 2 sin2 x sin x
  • 111. Derivative of Cotangent Example d Find cot x dx Solu on d d ( cos x ) sin x · (− sin x) − cos x · cos x cot x = = dx dx sin x sin2 x − sin2 x − cos2 x 1 = = − 2 = − csc2 x sin2 x sin x
  • 112. Derivative of Secant Example d Find sec x dx
  • 113. Derivative of Secant Example d Find sec x dx Solu on ( ) d d 1 sec x = dx dx cos x
  • 114. Derivative of Secant Example d Find sec x dx Solu on ( ) d d 1 cos x · 0 − 1 · (− sin x) sec x = = dx dx cos x cos2 x
  • 115. Derivative of Secant Example d Find sec x dx Solu on ( ) d d 1 cos x · 0 − 1 · (− sin x) sec x = = dx dx cos x cos2 x sin x = cos2 x
  • 116. Derivative of Secant Example d Find sec x dx Solu on ( ) d d 1 cos x · 0 − 1 · (− sin x) sec x = = dx dx cos x cos2 x sin x 1 sin x = = · cos2 x cos x cos x
  • 117. Derivative of Secant Example d Find sec x dx Solu on ( ) d d 1 cos x · 0 − 1 · (− sin x) sec x = = dx dx cos x cos2 x sin x 1 sin x = = · = sec x tan x cos2 x cos x cos x
  • 118. Derivative of Cosecant Example d Find csc x dx
  • 119. Derivative of Cosecant Example d Find csc x dx Answer d csc x = − csc x cot x dx
  • 120. Derivative of Cosecant Example d Find csc x dx Solu on ( ) d d 1 sin x · 0 − 1 · (cos x) csc x = = dx dx sin x sin2 x
  • 121. Derivative of Cosecant Example d Find csc x dx Solu on ( ) d d 1 sin x · 0 − 1 · (cos x) csc x = = dx dx sin x sin2 x cos x =− 2 sin x
  • 122. Derivative of Cosecant Example d Find csc x dx Solu on ( ) d d 1 sin x · 0 − 1 · (cos x) csc x = = dx dx sin x sin2 x cos x 1 cos x =− 2 =− · sin x sin x sin x
  • 123. Derivative of Cosecant Example d Find csc x dx Solu on ( ) d d 1 sin x · 0 − 1 · (cos x) csc x = = dx dx sin x sin2 x cos x 1 cos x =− 2 =− · = − csc x cot x sin x sin x sin x
  • 124. Recap: Derivatives of trigonometric functions y y′ sin x cos x Func ons come in pairs (sin/cos, tan/cot, sec/csc) cos x − sin x Deriva ves of pairs follow tan x sec2 x similar pa erns, with cot x − csc2 x func ons and co-func ons switched sec x sec x tan x and an extra sign. csc x − csc x cot x
  • 125. Outline Deriva ve of a Product Deriva on Examples The Quo ent Rule Deriva on Examples More deriva ves of trigonometric func ons Deriva ve of Tangent and Cotangent Deriva ve of Secant and Cosecant More on the Power Rule Power Rule for Nega ve Integers
  • 126. Power Rule for Negative Integers We will use the quo ent rule to prove Theorem d −n x = (−n)x−n−1 dx for posi ve integers n.
  • 127. Power Rule for Negative Integers We will use the quo ent rule to prove Theorem d −n x = (−n)x−n−1 dx for posi ve integers n. Proof.
  • 128. Power Rule for Negative Integers We will use the quo ent rule to prove Theorem d −n x = (−n)x−n−1 dx for posi ve integers n. Proof. d −n d 1 x = dx dx xn
  • 129. Power Rule for Negative Integers We will use the quo ent rule to prove Theorem d −n x = (−n)x−n−1 dx for posi ve integers n. Proof. d n d −n d 1 dx x x = =− n 2 dx dx xn (x )
  • 130. Power Rule for Negative Integers We will use the quo ent rule to prove Theorem d −n x = (−n)x−n−1 dx for posi ve integers n. Proof. d n d −n d 1 dx x nxn−1 x = = − n 2 = − 2n dx dx xn (x ) x
  • 131. Power Rule for Negative Integers We will use the quo ent rule to prove Theorem d −n x = (−n)x−n−1 dx for posi ve integers n. Proof. d n d −n d 1 dx x nxn−1 x = n = − n 2 = − 2n = −nxn−1−2n dx dx x (x ) x
  • 132. Power Rule for Negative Integers We will use the quo ent rule to prove Theorem d −n x = (−n)x−n−1 dx for posi ve integers n. Proof. d n d −n d 1 dx x nxn−1 x = n = − n 2 = − 2n = −nxn−1−2n = −nx−n−1 dx dx x (x ) x
  • 133. Summary The Product Rule: (uv)′ = u′ v + uv′ ( u )′ vu′ − uv′ The Quo ent Rule: = v v2 Deriva ves of tangent/cotangent, secant/cosecant d d tan x = sec2 x sec x = sec x tan x dx dx d d cot x = − csc2 x csc x = − csc x cot x dx dx The Power Rule is true for all whole number powers, including nega ve powers: d n x = nxn−1 dx