SlideShare uma empresa Scribd logo
1 de 54
Baixar para ler offline
Section 2.6
                                  Implicit Differentiation

                                     V63.0121, Calculus I


                                     February 24/25, 2009



         Announcements
                  Midterm in class March 4/5
                  ALEKS due Friday, 11:59pm

         .
.
Image credit: Telstar Logistics
                                                            .   .   .   .   .   .
Outline



   The big idea, by example


   Examples
      Vertical and Horizontal Tangents
      Chemistry


   The power rule for rational powers




                                         .   .   .   .   .   .
y
                                              .
Motivating Example

Problem
Find the slope of the line which is
tangent to the curve
                                              .                   x
                                                                  .
              2    2
             x +y =1

at the point (3/5, −4/5).




                                      .   .       .   .   .   .
y
                                              .
Motivating Example

Problem
Find the slope of the line which is
tangent to the curve
                                              .                   x
                                                                  .
              2    2
             x +y =1

at the point (3/5, −4/5).




                                      .   .       .   .   .   .
y
                                              .
Motivating Example

Problem
Find the slope of the line which is
tangent to the curve
                                              .                       x
                                                                      .
              2    2
             x +y =1

at the point (3/5, −4/5).                                 .




                                      .   .       .   .       .   .
y
                                                           .
Motivating Example

Problem
Find the slope of the line which is
tangent to the curve
                                                           .                       x
                                                                                   .
              2    2
             x +y =1

at the point (3/5, −4/5).                                              .
   Solution (Explicit)
                                         √
         Isolate: y2 = 1 − x2 =⇒ y = −    1 − x2 . (Why the −?)




                                                  .    .       .   .       .   .
y
                                                        .
Motivating Example

Problem
Find the slope of the line which is
tangent to the curve
                                                        .                       x
                                                                                .
              2    2
             x +y =1

at the point (3/5, −4/5).                                           .
   Solution (Explicit)
                                        √
         Isolate: y2 = 1 − x2 =⇒ y = − 1 − x2 . (Why the −?)
                                 −2x
                        dy                   x
                           =− √         =√
         Differentiate:
                               2 1 − x2    1 − x2
                        dx




                                               .    .       .   .       .   .
y
                                                        .
Motivating Example

Problem
Find the slope of the line which is
tangent to the curve
                                                        .                       x
                                                                                .
              2    2
             x +y =1

at the point (3/5, −4/5).                                           .
   Solution (Explicit)
                                        √
         Isolate: y2 = 1 − x2 =⇒ y = − 1 − x2 . (Why the −?)
                                 −2x
                        dy                    x
                           =− √         =√
         Differentiate:
                               2 1 − x2     1 − x2
                        dx
                     dy            3/5         3/5  3
                              =√            =      =.
         Evaluate:
                                 1 − (3/5)
                     dx x=3/5                  4/5  4
                                          2



                                               .    .       .   .       .   .
y
                                                        .
Motivating Example

Problem
Find the slope of the line which is
tangent to the curve
                                                        .                       x
                                                                                .
              2    2
             x +y =1

at the point (3/5, −4/5).                                           .
   Solution (Explicit)
                                        √
         Isolate: y2 = 1 − x2 =⇒ y = − 1 − x2 . (Why the −?)
                                 −2x
                        dy                    x
                           =− √         =√
         Differentiate:
                               2 1 − x2     1 − x2
                        dx
                     dy            3/5         3/5  3
                              =√            =      =.
         Evaluate:
                                 1 − (3/5)
                     dx x=3/5                  4/5  4
                                          2



                                               .    .       .   .       .   .
We know that x2 + y2 = 1 does not define y as a function of x, but
suppose it did.
    Suppose we had y = f(x), so that

                            x2 + (f(x))2 = 1

    We could differentiate this equation to get

                          2x + 2f(x) · f′ (x) = 0

    We could then solve to get
                                            x
                             f′ (x) = −
                                          f(x)




                                                 .   .   .   .   .   .
The beautiful fact (i.e., deep theorem) is that this works!
                                                         y
                                                         .
   “Near” most points on
   the curve x2 + y2 = 1, the
   curve resembles the
   graph of a function.
   So f(x) is defined “locally”
                                                         .                       x
                                                                                 .
   and is differentiable
   The chain rule then
   applies for this local
                                                                     .
   choice.




                                                .    .       .   .       .   .
The beautiful fact (i.e., deep theorem) is that this works!
                                                         y
                                                         .
   “Near” most points on
   the curve x2 + y2 = 1, the
   curve resembles the
   graph of a function.
   So f(x) is defined “locally”
                                                         .                       x
                                                                                 .
   and is differentiable
   The chain rule then
   applies for this local
                                                                     .
   choice.




                                                .    .       .   .       .   .
The beautiful fact (i.e., deep theorem) is that this works!
                                                         y
                                                         .
   “Near” most points on
   the curve x2 + y2 = 1, the
   curve resembles the
   graph of a function.
   So f(x) is defined “locally”
                                                           .                       x
                                                                                   .
   and is differentiable
   The chain rule then
   applies for this local
                                                                       .
   choice.
                                                         l
                                                         .ooks like a function



                                                .    .         .   .       .   .
The beautiful fact (i.e., deep theorem) is that this works!
                                                         y
                                                         .
   “Near” most points on
   the curve x2 + y2 = 1, the                                        .
   curve resembles the
   graph of a function.
   So f(x) is defined “locally”
                                                         .                       x
                                                                                 .
   and is differentiable
   The chain rule then
   applies for this local
   choice.




                                                .    .       .   .       .   .
The beautiful fact (i.e., deep theorem) is that this works!
                                                         y
                                                         .
   “Near” most points on
   the curve x2 + y2 = 1, the                                        .
   curve resembles the
   graph of a function.
   So f(x) is defined “locally”
                                                         .                       x
                                                                                 .
   and is differentiable
   The chain rule then
   applies for this local
   choice.




                                                .    .       .   .       .   .
The beautiful fact (i.e., deep theorem) is that this works!
                                                         y
                                                         .
   “Near” most points on
   the curve x2 + y2 = 1, the                                     .
   curve resembles the
   graph of a function.                                l
                                                       .ooks like a function
   So f(x) is defined “locally”
                                                         .                   x
                                                                             .
   and is differentiable
   The chain rule then
   applies for this local
   choice.




                                                .    .       .   .   .   .
The beautiful fact (i.e., deep theorem) is that this works!
                                                         y
                                                         .
   “Near” most points on
   the curve x2 + y2 = 1, the
   curve resembles the
   graph of a function.
   So f(x) is defined “locally”
                                            .            .                   x
                                                                             .
   and is differentiable
   The chain rule then
   applies for this local
   choice.




                                                .    .       .   .   .   .
The beautiful fact (i.e., deep theorem) is that this works!
                                                         y
                                                         .
   “Near” most points on
   the curve x2 + y2 = 1, the
   curve resembles the
   graph of a function.
   So f(x) is defined “locally”
                                            .            .                   x
                                                                             .
   and is differentiable
   The chain rule then
   applies for this local
   choice.




                                                .    .       .   .   .   .
The beautiful fact (i.e., deep theorem) is that this works!
                                                         y
                                                         .
   “Near” most points on
   the curve x2 + y2 = 1, the
   curve resembles the
   graph of a function.
   So f(x) is defined “locally”
                                               .             .                   x
                                                                                 .
   and is differentiable
                                 .
   The chain rule then               does not look like a
   applies for this local             function, but that’s
   choice.                           OK—there are only
                                     two points like this




                                                    .   .        .   .   .   .
Problem
Find the slope of the line which is tangent to the curve x2 + y2 = 1 at the
point (3/5, −4/5).

Solution (Implicit, with Leibniz notation)
     Differentiate. Remember y is assumed to be a function of x:

                                          dy
                                2x + 2y      = 0,
                                          dx
               dy
     Isolate      :
               dx
                                   dy   x
                                      =− .
                                   dx   y
     Evaluate:
                            dy             3/5  3
                                         =     =.
                            dx ( 3 ,− 4 ) 4/5   4
                                 5    5



                                                    .   .    .     .   .      .
Summary

                                           y
                                           .
If a relation is given between x and
y,
     “Most of the time” “at most
     places” y can be assumed to                               .
     be a function of x
                                           .
     we may differentiate the
     relation as is
                  dy
     Solving for     does give the
                  dx
     slope of the tangent line to
     the curve at a point on the
     curve.



                                       .       .   .   .   .       .
Mnemonic

                      Explicit    Implicit
                      y = f(x)   F(x, y) = k




                                                       .


.
Image credit: Walsh
                                    .    .     .   .       .   .
Outline



   The big idea, by example


   Examples
      Vertical and Horizontal Tangents
      Chemistry


   The power rule for rational powers




                                         .   .   .   .   .   .
Example
Find the equation of the line
tangent to the curve
                                .
   y2 = x2 (x + 1) = x3 + x2

at the point (3, −6).
                                                    .




                                    .   .   .   .       .   .
Example
Find the equation of the line
tangent to the curve
                                                     .
   y2 = x2 (x + 1) = x3 + x2

at the point (3, −6).
                                                                         .
 Solution
 Differentiating the expression implicitly with respect to x gives
                               3x2 + 2x
    dy                   dy
 2y = 3x2 + 2x, so          =             , and
    dx                  dx        2y

                                       3 · 32 + 2 · 3
                     dy                                 11
                                                      =− .
                                   =
                     dx                    2(−6)         4
                          (3,−6)




                                                         .   .   .   .       .   .
Example
Find the equation of the line
tangent to the curve
                                                     .
   y2 = x2 (x + 1) = x3 + x2

at the point (3, −6).
                                                                               .
 Solution
 Differentiating the expression implicitly with respect to x gives
                               3x2 + 2x
    dy                   dy
 2y = 3x2 + 2x, so          =             , and
    dx                  dx        2y

                                       3 · 32 + 2 · 3
                     dy                                 11
                                                      =− .
                                   =
                     dx                    2(−6)         4
                          (3,−6)

                                                             11
 Thus the equation of the tangent line is y + 6 = −             (x − 3).
                                                              4
                                                         .      .    .     .       .   .
Example
Find the horizontal tangent lines to the same curve: y2 = x3 + x2




                                              .    .    .    .      .   .
Example
Find the horizontal tangent lines to the same curve: y2 = x3 + x2

Solution




                                              .    .    .    .      .   .
Example
Find the horizontal tangent lines to the same curve: y2 = x3 + x2

Solution
    We solve for dy/dx = 0:

           3x2 + 2x
                    = 0 =⇒ 3x2 + 2x = 0 =⇒ x(3x + 2) = 0
              2y




                                              .    .    .    .      .   .
Example
Find the horizontal tangent lines to the same curve: y2 = x3 + x2

Solution
    We solve for dy/dx = 0:

           3x2 + 2x
                    = 0 =⇒ 3x2 + 2x = 0 =⇒ x(3x + 2) = 0
              2y


    The possible solution x = 0 leads to y = 0, which is not a smooth
    point of the function (the denominator in dy/dx becomes 0).




                                                .    .    .    .    .   .
Example
Find the horizontal tangent lines to the same curve: y2 = x3 + x2

Solution
    We solve for dy/dx = 0:

           3x2 + 2x
                    = 0 =⇒ 3x2 + 2x = 0 =⇒ x(3x + 2) = 0
              2y


    The possible solution x = 0 leads to y = 0, which is not a smooth
    point of the function (the denominator in dy/dx becomes 0).
    The possible solution x = − 2 yields y = ± 3√3 .
                                                2
                                3




                                                 .     .   .   .    .   .
Example
Find the vertical tangent lines to the same curve: y2 = x3 + x2




                                               .    .    .    .   .   .
Example
Find the vertical tangent lines to the same curve: y2 = x3 + x2

Solution
                                        dx
                                           = 0.
     Tangent lines are vertical when
                                        dy
     Differentiating x implicitly as a function of y gives
               dx        dx
     2y = 3x2 + 2x , so
               dy        dy

                                  dx     2y
                                     =2
                                      3x + 2x
                                  dy




                                                     .       .   .   .   .   .
Example
Find the vertical tangent lines to the same curve: y2 = x3 + x2

Solution
                                        dx
                                           = 0.
     Tangent lines are vertical when
                                        dy
     Differentiating x implicitly as a function of y gives
               dx        dx
     2y = 3x2 + 2x , so
               dy        dy

                                  dx     2y
                                     =2
                                      3x + 2x
                                  dy


     This is 0 only when y = 0.



                                                     .       .   .   .   .   .
Example
Find the vertical tangent lines to the same curve: y2 = x3 + x2

Solution
                                        dx
                                           = 0.
     Tangent lines are vertical when
                                        dy
     Differentiating x implicitly as a function of y gives
               dx        dx
     2y = 3x2 + 2x , so
               dy        dy

                                  dx     2y
                                     =2
                                      3x + 2x
                                  dy


     This is 0 only when y = 0.
     We get the false solution x = 0 and the real solution x = −1.


                                                     .       .   .   .   .   .
Ideal gases




     The ideal gas law relates
     temperature, pressure, and
     volume of a gas:

                         PV = nRT

     (R is a constant, n is the
     amount of gas in moles)



                                                                 .
.
Image credit: Scott Beale / Laughing Squid
                                             .   .   .   .   .   .
.

        Definition
        The isothermic compressibility of a fluid is defined by

                                             dV 1
                                      β=−
                                             dP V
        with temperature held constant.

.
Image credit: Neil Better
                                                        .       .   .   .   .       .
.

        Definition
        The isothermic compressibility of a fluid is defined by

                                             dV 1
                                      β=−
                                             dP V
        with temperature held constant.

        The smaller the β, the “harder” the fluid.
.
Image credit: Neil Better
                                                        .       .   .   .   .       .
Example
Find the isothermic compressibility of an ideal gas.




                                                .      .   .   .   .   .
Example
Find the isothermic compressibility of an ideal gas.

Solution
If PV = k (n is constant for our purposes, T is constant because of the
word isothermic, and R really is constant), then

                   dP        dV      dV    V
                      · V + P = 0 =⇒    =−
                   dP        dP      dP    P
So
                                   1 dV        1
                           β=− ·           =
                                   V dP        P
Compressibility and pressure are inversely related.




                                                      .   .   .   .       .   .
Nonideal gasses
Not that there’s anything wrong with that


   Example
   The van der Waals equation                                                 H
                                                                              ..
   makes fewer simplifications:
                                                                       O.
    (         )                                                        . xygen . .
                                                                               H
           n2
      P + a 2 (V − nb) = nRT,                                  .
           V                                          H
                                                      ..
                                            O.                     H
                                                                   . ydrogen bonds
                                            . xygen
   where P is the pressure, V the
                                                      H
                                                      ..
   volume, T the temperature, n                                .
   the number of moles of the
                                                                       O.
                                                                       . xygen . .
                                                                               H
   gas, R a constant, a is a
   measure of attraction between
                                                                              H
                                                                              ..
   particles of the gas, and b a
   measure of particle size.

                                                 .         .       .      .        .   .
Nonideal gasses
Not that there’s anything wrong with that



     Example
     The van der Waals equation
     makes fewer simplifications:
      (         )
             n2
        P + a 2 (V − nb) = nRT,
             V
     where P is the pressure, V the
     volume, T the temperature, n
     the number of moles of the
     gas, R a constant, a is a
     measure of attraction between
     particles of the gas, and b a
     measure of particle size.                                      .
.
Image credit: Wikimedia Commons
                                            .   .   .   .   .   .
Let’s find the compressibility of a van der Waals gas. Differentiating
the van der Waals equation by treating V as a function of P gives
           (       )                   (            )
                an2 dV                      2an2 dV
                          + (V − bn) 1 − 3
             P+ 2                                      = 0,
                      dP                     V dP
                 V




                                                .   .    .    .    .    .
Let’s find the compressibility of a van der Waals gas. Differentiating
the van der Waals equation by treating V as a function of P gives
           (       )                   (            )
                an2 dV                      2an2 dV
                          + (V − bn) 1 − 3
             P+ 2                                      = 0,
                      dP                     V dP
                 V
so
                                   V2 (V − nb)
                        1 dV
                 β=−         =
                               2abn3 − an2 V + PV3
                        V dP




                                                .   .    .    .    .    .
Let’s find the compressibility of a van der Waals gas. Differentiating
the van der Waals equation by treating V as a function of P gives
           (       )                   (            )
                an2 dV                      2an2 dV
                          + (V − bn) 1 − 3
             P+ 2                                      = 0,
                      dP                     V dP
                 V
so
                                     V2 (V − nb)
                          1 dV
                 β=−           =
                                 2abn3 − an2 V + PV3
                          V dP

     What if a = b = 0?




                                                .   .    .    .    .    .
Let’s find the compressibility of a van der Waals gas. Differentiating
the van der Waals equation by treating V as a function of P gives
           (       )                   (            )
                an2 dV                      2an2 dV
                          + (V − bn) 1 − 3
             P+ 2                                      = 0,
                      dP                     V dP
                 V
so
                                     V2 (V − nb)
                          1 dV
                 β=−           =
                                 2abn3 − an2 V + PV3
                          V dP

     What if a = b = 0?
                                                          dβ
     Without taking the derivative, what is the sign of      ?
                                                          db




                                                .   .      .     .   .   .
Let’s find the compressibility of a van der Waals gas. Differentiating
the van der Waals equation by treating V as a function of P gives
           (       )                   (            )
                an2 dV                      2an2 dV
                          + (V − bn) 1 − 3
             P+ 2                                      = 0,
                      dP                     V dP
                 V
so
                                     V2 (V − nb)
                          1 dV
                 β=−           =
                                 2abn3 − an2 V + PV3
                          V dP

     What if a = b = 0?
                                                        dβ
     Without taking the derivative, what is the sign of    ?
                                                        db
                                                        dβ
     Without taking the derivative, what is the sign of    ?
                                                        da



                                                .   .     .    .   .    .
Nasty derivatives




                (2abn3 − an2 V + PV3 )(nV2 ) − (nbV2 − V3 )(2an3 )
          dβ
             =−
                              (2abn3 − an2 V + PV3 )2
          db
                        (2         )
                    nV3 an + PV2
             = −(                     )2 < 0
                  PV3 + an2 (2bn − V)

                          n2 (bn − V)(2bn − V)V2
                      dβ
                         =(                     )2 > 0
                      da    PV3 + an2 (2bn − V)
       (as long as V > 2nb, and it’s probably true that V ≫ 2nb).



                                                 .    .    .    .    .   .
Outline



   The big idea, by example


   Examples
      Vertical and Horizontal Tangents
      Chemistry


   The power rule for rational powers




                                         .   .   .   .   .   .
Using implicit differentiation to find derivatives



   Example
                   √
          dy
             if y = x.
   Find
          dx




                                        .   .   .   .   .   .
Using implicit differentiation to find derivatives



   Example
                   √
          dy
             if y = x.
   Find
          dx
   Solution
         √
   If y =   x, then
                                  y2 = x,
   so
                           dy        dy   1    1
                                             = √.
                              = 1 =⇒    =
                      2y
                           dx        dx   2y  2x




                                             .   .   .   .   .   .
The power rule for rational numbers

   Example
          dy
             if y = xp/q , where p and q are integers.
   Find
          dx




                                                     .   .   .   .   .   .
The power rule for rational numbers

   Example
          dy
             if y = xp/q , where p and q are integers.
   Find
          dx
   Solution
   We have
                                                    p xp−1
                                  dy            dy
                                                   = · q−1
             yq = xp =⇒ qyq−1        = pxp−1 =⇒
                                  dx            dx  qy




                                                     .   .   .   .   .   .
The power rule for rational numbers

   Example
          dy
             if y = xp/q , where p and q are integers.
   Find
          dx
   Solution
   We have
                                                    p xp−1
                                  dy            dy
                                                   = · q−1
             yq = xp =⇒ qyq−1        = pxp−1 =⇒
                                  dx            dx  qy

   Now yq−1 = xp(q−1)/q = xp−p/q so

                         xp−1
                              = xp−1−(p−p/q) = xp/q−1
                         yq−1



                                                     .   .   .   .   .   .

Mais conteúdo relacionado

Mais procurados

Math presentation on domain and range
Math presentation on domain and rangeMath presentation on domain and range
Math presentation on domain and rangeTouhidul Shawan
 
Zeros of a polynomial function
Zeros of a polynomial functionZeros of a polynomial function
Zeros of a polynomial functionMartinGeraldine
 
Basic Calculus 11 - Derivatives and Differentiation Rules
Basic Calculus 11 - Derivatives and Differentiation RulesBasic Calculus 11 - Derivatives and Differentiation Rules
Basic Calculus 11 - Derivatives and Differentiation RulesJuan Miguel Palero
 
Lesson 27: Integration by Substitution (slides)
Lesson 27: Integration by Substitution (slides)Lesson 27: Integration by Substitution (slides)
Lesson 27: Integration by Substitution (slides)Matthew Leingang
 
Lesson 16: Implicit Differentiation
Lesson 16: Implicit DifferentiationLesson 16: Implicit Differentiation
Lesson 16: Implicit DifferentiationMatthew Leingang
 
Exponential and logarithmic functions
Exponential and logarithmic functionsExponential and logarithmic functions
Exponential and logarithmic functionsNjabulo Nkabinde
 
4.1 implicit differentiation
4.1 implicit differentiation4.1 implicit differentiation
4.1 implicit differentiationdicosmo178
 
3.1 higher derivatives
3.1 higher derivatives3.1 higher derivatives
3.1 higher derivativesmath265
 
Introduction to Function, Domain and Range - Mohd Noor
Introduction to Function, Domain and Range - Mohd Noor Introduction to Function, Domain and Range - Mohd Noor
Introduction to Function, Domain and Range - Mohd Noor Mohd. Noor Abdul Hamid
 
2.4 operations on functions
2.4 operations on functions2.4 operations on functions
2.4 operations on functionshisema01
 
Rational Equations and Inequalities
 Rational Equations and Inequalities  Rational Equations and Inequalities
Rational Equations and Inequalities pemey13
 
5 6 laws of logarithms
5 6 laws of logarithms5 6 laws of logarithms
5 6 laws of logarithmshisema01
 
Evaluating functions basic rules
Evaluating functions   basic rulesEvaluating functions   basic rules
Evaluating functions basic rulesjulienorman80065
 
5.3 integration by substitution dfs-102
5.3 integration by substitution dfs-1025.3 integration by substitution dfs-102
5.3 integration by substitution dfs-102Farhana Shaheen
 
Lesson3.1 The Derivative And The Tangent Line
Lesson3.1 The Derivative And The Tangent LineLesson3.1 The Derivative And The Tangent Line
Lesson3.1 The Derivative And The Tangent Lineseltzermath
 
Solving quadratics by graphing
Solving quadratics by graphingSolving quadratics by graphing
Solving quadratics by graphingchrystal_brinson
 

Mais procurados (20)

Factor theorem
Factor theoremFactor theorem
Factor theorem
 
Math presentation on domain and range
Math presentation on domain and rangeMath presentation on domain and range
Math presentation on domain and range
 
Zeros of a polynomial function
Zeros of a polynomial functionZeros of a polynomial function
Zeros of a polynomial function
 
Basic Calculus 11 - Derivatives and Differentiation Rules
Basic Calculus 11 - Derivatives and Differentiation RulesBasic Calculus 11 - Derivatives and Differentiation Rules
Basic Calculus 11 - Derivatives and Differentiation Rules
 
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 16: Implicit Differentiation
Lesson 16: Implicit DifferentiationLesson 16: Implicit Differentiation
Lesson 16: Implicit Differentiation
 
Math12 lesson11
Math12 lesson11Math12 lesson11
Math12 lesson11
 
Exponential and logarithmic functions
Exponential and logarithmic functionsExponential and logarithmic functions
Exponential and logarithmic functions
 
4.1 implicit differentiation
4.1 implicit differentiation4.1 implicit differentiation
4.1 implicit differentiation
 
3.1 higher derivatives
3.1 higher derivatives3.1 higher derivatives
3.1 higher derivatives
 
Zeros of p(x)
Zeros of p(x)Zeros of p(x)
Zeros of p(x)
 
Introduction to Function, Domain and Range - Mohd Noor
Introduction to Function, Domain and Range - Mohd Noor Introduction to Function, Domain and Range - Mohd Noor
Introduction to Function, Domain and Range - Mohd Noor
 
2.4 operations on functions
2.4 operations on functions2.4 operations on functions
2.4 operations on functions
 
Rational Equations and Inequalities
 Rational Equations and Inequalities  Rational Equations and Inequalities
Rational Equations and Inequalities
 
Inverse Functions
Inverse FunctionsInverse Functions
Inverse Functions
 
5 6 laws of logarithms
5 6 laws of logarithms5 6 laws of logarithms
5 6 laws of logarithms
 
Evaluating functions basic rules
Evaluating functions   basic rulesEvaluating functions   basic rules
Evaluating functions basic rules
 
5.3 integration by substitution dfs-102
5.3 integration by substitution dfs-1025.3 integration by substitution dfs-102
5.3 integration by substitution dfs-102
 
Lesson3.1 The Derivative And The Tangent Line
Lesson3.1 The Derivative And The Tangent LineLesson3.1 The Derivative And The Tangent Line
Lesson3.1 The Derivative And The Tangent Line
 
Solving quadratics by graphing
Solving quadratics by graphingSolving quadratics by graphing
Solving quadratics by graphing
 

Destaque

Implicit differentiation
Implicit differentiationImplicit differentiation
Implicit differentiationSporsho
 
Chapter 9 differentiation
Chapter 9  differentiationChapter 9  differentiation
Chapter 9 differentiationatiqah ayie
 
Lesson 11: Implicit Differentiation (handout)
Lesson 11: Implicit Differentiation (handout)Lesson 11: Implicit Differentiation (handout)
Lesson 11: Implicit Differentiation (handout)Matthew Leingang
 
Lesson 11: Implicit Differentiation (Section 41 slides)
Lesson 11: Implicit Differentiation (Section 41 slides)Lesson 11: Implicit Differentiation (Section 41 slides)
Lesson 11: Implicit Differentiation (Section 41 slides)Matthew Leingang
 
Lesson 11: Implicit Differentiation (Section 21 slides)
Lesson 11: Implicit Differentiation (Section 21 slides)Lesson 11: Implicit Differentiation (Section 21 slides)
Lesson 11: Implicit Differentiation (Section 21 slides)Matthew Leingang
 
Lesson 18: Maximum and Minimum Vaues
Lesson 18: Maximum and Minimum VauesLesson 18: Maximum and Minimum Vaues
Lesson 18: Maximum and Minimum VauesMatthew Leingang
 
Lesson 6: Limits Involving ∞
Lesson 6: Limits Involving ∞Lesson 6: Limits Involving ∞
Lesson 6: Limits Involving ∞Matthew Leingang
 
Calculus 45S Slides March 28, 2008
Calculus 45S Slides March 28, 2008Calculus 45S Slides March 28, 2008
Calculus 45S Slides March 28, 2008Darren Kuropatwa
 
Lesson 21: Curve Sketching (Section 10 version)
Lesson 21: Curve Sketching (Section 10 version)Lesson 21: Curve Sketching (Section 10 version)
Lesson 21: Curve Sketching (Section 10 version)Matthew Leingang
 
Lesson 4: Calculating Limits
Lesson 4: Calculating LimitsLesson 4: Calculating Limits
Lesson 4: Calculating LimitsMatthew Leingang
 
Lesson 2: A Catalog of Essential Functions
Lesson 2: A Catalog of Essential FunctionsLesson 2: A Catalog of Essential Functions
Lesson 2: A Catalog of Essential FunctionsMatthew Leingang
 
Lesson 18: Maximum and Minimum Vaues
Lesson 18: Maximum and Minimum VauesLesson 18: Maximum and Minimum Vaues
Lesson 18: Maximum and Minimum VauesMatthew Leingang
 
Higher order derivatives for N -body simulations
Higher order derivatives for N -body simulationsHigher order derivatives for N -body simulations
Higher order derivatives for N -body simulationsKeigo Nitadori
 
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 CurvesMatthew Leingang
 
Lesson 13: Linear Approximation
Lesson 13: Linear ApproximationLesson 13: Linear Approximation
Lesson 13: Linear ApproximationMatthew Leingang
 
Lesson 10: the Product and Quotient Rules
Lesson 10: the Product and Quotient RulesLesson 10: the Product and Quotient Rules
Lesson 10: the Product and Quotient RulesMatthew Leingang
 
Lesson 24: Implicit Differentiation
Lesson 24: Implicit DifferentiationLesson 24: Implicit Differentiation
Lesson 24: Implicit DifferentiationMatthew Leingang
 

Destaque (20)

Implicit differentiation
Implicit differentiationImplicit differentiation
Implicit differentiation
 
Chapter 9 differentiation
Chapter 9  differentiationChapter 9  differentiation
Chapter 9 differentiation
 
Lesson 11: Implicit Differentiation (handout)
Lesson 11: Implicit Differentiation (handout)Lesson 11: Implicit Differentiation (handout)
Lesson 11: Implicit Differentiation (handout)
 
Lesson 11: Implicit Differentiation (Section 41 slides)
Lesson 11: Implicit Differentiation (Section 41 slides)Lesson 11: Implicit Differentiation (Section 41 slides)
Lesson 11: Implicit Differentiation (Section 41 slides)
 
Lesson 11: Implicit Differentiation (Section 21 slides)
Lesson 11: Implicit Differentiation (Section 21 slides)Lesson 11: Implicit Differentiation (Section 21 slides)
Lesson 11: Implicit Differentiation (Section 21 slides)
 
Lesson 18: Maximum and Minimum Vaues
Lesson 18: Maximum and Minimum VauesLesson 18: Maximum and Minimum Vaues
Lesson 18: Maximum and Minimum Vaues
 
Lesson 6: Limits Involving ∞
Lesson 6: Limits Involving ∞Lesson 6: Limits Involving ∞
Lesson 6: Limits Involving ∞
 
Calculus 45S Slides March 28, 2008
Calculus 45S Slides March 28, 2008Calculus 45S Slides March 28, 2008
Calculus 45S Slides March 28, 2008
 
Lesson 21: Curve Sketching (Section 10 version)
Lesson 21: Curve Sketching (Section 10 version)Lesson 21: Curve Sketching (Section 10 version)
Lesson 21: Curve Sketching (Section 10 version)
 
Lesson 4: Calculating Limits
Lesson 4: Calculating LimitsLesson 4: Calculating Limits
Lesson 4: Calculating Limits
 
Lesson 2: A Catalog of Essential Functions
Lesson 2: A Catalog of Essential FunctionsLesson 2: A Catalog of Essential Functions
Lesson 2: A Catalog of Essential Functions
 
Lesson 18: Maximum and Minimum Vaues
Lesson 18: Maximum and Minimum VauesLesson 18: Maximum and Minimum Vaues
Lesson 18: Maximum and Minimum Vaues
 
Higher order derivatives for N -body simulations
Higher order derivatives for N -body simulationsHigher order derivatives for N -body simulations
Higher order derivatives for N -body simulations
 
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 13: Linear Approximation
Lesson 13: Linear ApproximationLesson 13: Linear Approximation
Lesson 13: Linear Approximation
 
Lesson 5: Continuity
Lesson 5: ContinuityLesson 5: Continuity
Lesson 5: Continuity
 
Lesson 11: The Chain Rule
Lesson 11: The Chain RuleLesson 11: The Chain Rule
Lesson 11: The Chain Rule
 
Lesson 10: the Product and Quotient Rules
Lesson 10: the Product and Quotient RulesLesson 10: the Product and Quotient Rules
Lesson 10: the Product and Quotient Rules
 
Lesson 24: Implicit Differentiation
Lesson 24: Implicit DifferentiationLesson 24: Implicit Differentiation
Lesson 24: Implicit Differentiation
 
Derivatives
DerivativesDerivatives
Derivatives
 

Semelhante a Lesson 12: Implicit Differentiation

Lesson 11: Implicit Differentiation
Lesson 11: Implicit DifferentiationLesson 11: Implicit Differentiation
Lesson 11: Implicit DifferentiationMel Anthony Pepito
 
Lesson 11: Implicit Differentiation
Lesson 11: Implicit DifferentiationLesson 11: Implicit Differentiation
Lesson 11: Implicit DifferentiationMatthew Leingang
 
Lesson 11: Implicit Differentiation
Lesson 11: Implicit DifferentiationLesson 11: Implicit Differentiation
Lesson 11: Implicit DifferentiationMatthew Leingang
 
Lesson 11: Implicit Differentiation
Lesson 11: Implicit DifferentiationLesson 11: Implicit Differentiation
Lesson 11: Implicit DifferentiationMatthew Leingang
 
+ Follow Lesson 11: Implicit Differentiation (Section 21 slides
 + Follow Lesson 11: Implicit Differentiation (Section 21 slides + Follow Lesson 11: Implicit Differentiation (Section 21 slides
+ Follow Lesson 11: Implicit Differentiation (Section 21 slidesMel Anthony Pepito
 
Lesson 11: Implicit Differentiation (Section 41 slides)
Lesson 11: Implicit Differentiation (Section 41 slides)Lesson 11: Implicit Differentiation (Section 41 slides)
Lesson 11: Implicit Differentiation (Section 41 slides)Mel Anthony Pepito
 
Lesson 21: Curve Sketching (Section 4 version)
Lesson 21: Curve Sketching (Section 4 version)Lesson 21: Curve Sketching (Section 4 version)
Lesson 21: Curve Sketching (Section 4 version)Matthew Leingang
 
Lesson 11: Implicit Differentiation
Lesson 11: Implicit DifferentiationLesson 11: Implicit Differentiation
Lesson 11: Implicit DifferentiationMatthew Leingang
 
Lesson 11: Implicit Differentiation (slides)
Lesson 11: Implicit Differentiation (slides)Lesson 11: Implicit Differentiation (slides)
Lesson 11: Implicit Differentiation (slides)Matthew Leingang
 
Lesson 11: Implicit Differentiation (slides)
Lesson 11: Implicit Differentiation (slides)Lesson 11: Implicit Differentiation (slides)
Lesson 11: Implicit Differentiation (slides)Mel Anthony Pepito
 
Exercise set 3.5
Exercise set 3.5Exercise set 3.5
Exercise set 3.5math265
 
Lesson 7: Limits at Infinity
Lesson 7: Limits at InfinityLesson 7: Limits at Infinity
Lesson 7: Limits at InfinityMatthew Leingang
 
Lesson 27: Integration by Substitution (worksheet solutions)
Lesson 27: Integration by Substitution (worksheet solutions)Lesson 27: Integration by Substitution (worksheet solutions)
Lesson 27: Integration by Substitution (worksheet solutions)Matthew Leingang
 
Lesson 17: The Method of Lagrange Multipliers
Lesson 17: The Method of Lagrange MultipliersLesson 17: The Method of Lagrange Multipliers
Lesson 17: The Method of Lagrange MultipliersMatthew Leingang
 
Lesson 21: Curve Sketching II (Section 4 version)
Lesson 21: Curve Sketching  II (Section 4 version)Lesson 21: Curve Sketching  II (Section 4 version)
Lesson 21: Curve Sketching II (Section 4 version)Matthew Leingang
 
Lesson 27: Integration by Substitution (worksheet)
Lesson 27: Integration by Substitution (worksheet)Lesson 27: Integration by Substitution (worksheet)
Lesson 27: Integration by Substitution (worksheet)Matthew Leingang
 
Remedial mtk
Remedial mtkRemedial mtk
Remedial mtkAzizaty
 
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
 

Semelhante a Lesson 12: Implicit Differentiation (20)

Lesson 11: Implicit Differentiation
Lesson 11: Implicit DifferentiationLesson 11: Implicit Differentiation
Lesson 11: Implicit Differentiation
 
Lesson 11: Implicit Differentiation
Lesson 11: Implicit DifferentiationLesson 11: Implicit Differentiation
Lesson 11: Implicit Differentiation
 
Lesson 11: Implicit Differentiation
Lesson 11: Implicit DifferentiationLesson 11: Implicit Differentiation
Lesson 11: Implicit Differentiation
 
Lesson 11: Implicit Differentiation
Lesson 11: Implicit DifferentiationLesson 11: Implicit Differentiation
Lesson 11: Implicit Differentiation
 
+ Follow Lesson 11: Implicit Differentiation (Section 21 slides
 + Follow Lesson 11: Implicit Differentiation (Section 21 slides + Follow Lesson 11: Implicit Differentiation (Section 21 slides
+ Follow Lesson 11: Implicit Differentiation (Section 21 slides
 
Lesson 11: Implicit Differentiation (Section 41 slides)
Lesson 11: Implicit Differentiation (Section 41 slides)Lesson 11: Implicit Differentiation (Section 41 slides)
Lesson 11: Implicit Differentiation (Section 41 slides)
 
Lesson 21: Curve Sketching (Section 4 version)
Lesson 21: Curve Sketching (Section 4 version)Lesson 21: Curve Sketching (Section 4 version)
Lesson 21: Curve Sketching (Section 4 version)
 
Lesson 11: Implicit Differentiation
Lesson 11: Implicit DifferentiationLesson 11: Implicit Differentiation
Lesson 11: Implicit Differentiation
 
Lesson 11: Implicit Differentiation (slides)
Lesson 11: Implicit Differentiation (slides)Lesson 11: Implicit Differentiation (slides)
Lesson 11: Implicit Differentiation (slides)
 
Lesson 11: Implicit Differentiation (slides)
Lesson 11: Implicit Differentiation (slides)Lesson 11: Implicit Differentiation (slides)
Lesson 11: Implicit Differentiation (slides)
 
Exercise set 3.5
Exercise set 3.5Exercise set 3.5
Exercise set 3.5
 
Lesson 7: Limits at Infinity
Lesson 7: Limits at InfinityLesson 7: Limits at Infinity
Lesson 7: Limits at Infinity
 
Lesson 27: Integration by Substitution (worksheet solutions)
Lesson 27: Integration by Substitution (worksheet solutions)Lesson 27: Integration by Substitution (worksheet solutions)
Lesson 27: Integration by Substitution (worksheet solutions)
 
Lesson 17: The Method of Lagrange Multipliers
Lesson 17: The Method of Lagrange MultipliersLesson 17: The Method of Lagrange Multipliers
Lesson 17: The Method of Lagrange Multipliers
 
Math 21a Midterm I Review
Math 21a Midterm I ReviewMath 21a Midterm I Review
Math 21a Midterm I Review
 
Lesson 21: Curve Sketching II (Section 4 version)
Lesson 21: Curve Sketching  II (Section 4 version)Lesson 21: Curve Sketching  II (Section 4 version)
Lesson 21: Curve Sketching II (Section 4 version)
 
Lesson 27: Integration by Substitution (worksheet)
Lesson 27: Integration by Substitution (worksheet)Lesson 27: Integration by Substitution (worksheet)
Lesson 27: Integration by Substitution (worksheet)
 
Remedial mtk
Remedial mtkRemedial mtk
Remedial mtk
 
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)
 
Lesson 15: The Chain Rule
Lesson 15: The Chain RuleLesson 15: The Chain Rule
Lesson 15: The Chain Rule
 

Mais de Matthew Leingang

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-choiceMatthew Leingang
 
Electronic Grading of Paper Assessments
Electronic Grading of Paper AssessmentsElectronic Grading of Paper Assessments
Electronic Grading of Paper AssessmentsMatthew Leingang
 
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)Matthew Leingang
 
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)Matthew Leingang
 
Lesson 27: Integration by Substitution (handout)
Lesson 27: Integration by Substitution (handout)Lesson 27: Integration by Substitution (handout)
Lesson 27: Integration by Substitution (handout)Matthew Leingang
 
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)Matthew Leingang
 
Lesson 25: Evaluating Definite Integrals (slides)
Lesson 25: Evaluating Definite Integrals (slides)Lesson 25: Evaluating Definite Integrals (slides)
Lesson 25: Evaluating Definite Integrals (slides)Matthew Leingang
 
Lesson 25: Evaluating Definite Integrals (handout)
Lesson 25: Evaluating Definite Integrals (handout)Lesson 25: Evaluating Definite Integrals (handout)
Lesson 25: Evaluating Definite Integrals (handout)Matthew Leingang
 
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)Matthew Leingang
 
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)Matthew Leingang
 
Lesson 23: Antiderivatives (slides)
Lesson 23: Antiderivatives (slides)Lesson 23: Antiderivatives (slides)
Lesson 23: Antiderivatives (slides)Matthew Leingang
 
Lesson 23: Antiderivatives (slides)
Lesson 23: Antiderivatives (slides)Lesson 23: Antiderivatives (slides)
Lesson 23: Antiderivatives (slides)Matthew Leingang
 
Lesson 22: Optimization Problems (slides)
Lesson 22: Optimization Problems (slides)Lesson 22: Optimization Problems (slides)
Lesson 22: Optimization Problems (slides)Matthew Leingang
 
Lesson 22: Optimization Problems (handout)
Lesson 22: Optimization Problems (handout)Lesson 22: Optimization Problems (handout)
Lesson 22: Optimization Problems (handout)Matthew Leingang
 
Lesson 21: Curve Sketching (slides)
Lesson 21: Curve Sketching (slides)Lesson 21: Curve Sketching (slides)
Lesson 21: Curve Sketching (slides)Matthew Leingang
 
Lesson 21: Curve Sketching (handout)
Lesson 21: Curve Sketching (handout)Lesson 21: Curve Sketching (handout)
Lesson 21: Curve Sketching (handout)Matthew Leingang
 
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)Matthew Leingang
 
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)Matthew Leingang
 
Lesson 19: The Mean Value Theorem (slides)
Lesson 19: The Mean Value Theorem (slides)Lesson 19: The Mean Value Theorem (slides)
Lesson 19: The Mean Value Theorem (slides)Matthew Leingang
 

Mais 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 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)
 
Lesson 19: The Mean Value Theorem (slides)
Lesson 19: The Mean Value Theorem (slides)Lesson 19: The Mean Value Theorem (slides)
Lesson 19: The Mean Value Theorem (slides)
 

Último

ICT role in 21st century education and it's challenges.
ICT role in 21st century education and it's challenges.ICT role in 21st century education and it's challenges.
ICT role in 21st century education and it's challenges.MaryamAhmad92
 
This PowerPoint helps students to consider the concept of infinity.
This PowerPoint helps students to consider the concept of infinity.This PowerPoint helps students to consider the concept of infinity.
This PowerPoint helps students to consider the concept of infinity.christianmathematics
 
FSB Advising Checklist - Orientation 2024
FSB Advising Checklist - Orientation 2024FSB Advising Checklist - Orientation 2024
FSB Advising Checklist - Orientation 2024Elizabeth Walsh
 
HMCS Vancouver Pre-Deployment Brief - May 2024 (Web Version).pptx
HMCS Vancouver Pre-Deployment Brief - May 2024 (Web Version).pptxHMCS Vancouver Pre-Deployment Brief - May 2024 (Web Version).pptx
HMCS Vancouver Pre-Deployment Brief - May 2024 (Web Version).pptxmarlenawright1
 
Jamworks pilot and AI at Jisc (20/03/2024)
Jamworks pilot and AI at Jisc (20/03/2024)Jamworks pilot and AI at Jisc (20/03/2024)
Jamworks pilot and AI at Jisc (20/03/2024)Jisc
 
Google Gemini An AI Revolution in Education.pptx
Google Gemini An AI Revolution in Education.pptxGoogle Gemini An AI Revolution in Education.pptx
Google Gemini An AI Revolution in Education.pptxDr. Sarita Anand
 
HMCS Max Bernays Pre-Deployment Brief (May 2024).pptx
HMCS Max Bernays Pre-Deployment Brief (May 2024).pptxHMCS Max Bernays Pre-Deployment Brief (May 2024).pptx
HMCS Max Bernays Pre-Deployment Brief (May 2024).pptxEsquimalt MFRC
 
How to setup Pycharm environment for Odoo 17.pptx
How to setup Pycharm environment for Odoo 17.pptxHow to setup Pycharm environment for Odoo 17.pptx
How to setup Pycharm environment for Odoo 17.pptxCeline George
 
UGC NET Paper 1 Mathematical Reasoning & Aptitude.pdf
UGC NET Paper 1 Mathematical Reasoning & Aptitude.pdfUGC NET Paper 1 Mathematical Reasoning & Aptitude.pdf
UGC NET Paper 1 Mathematical Reasoning & Aptitude.pdfNirmal Dwivedi
 
REMIFENTANIL: An Ultra short acting opioid.pptx
REMIFENTANIL: An Ultra short acting opioid.pptxREMIFENTANIL: An Ultra short acting opioid.pptx
REMIFENTANIL: An Ultra short acting opioid.pptxDr. Ravikiran H M Gowda
 
TỔNG ÔN TẬP THI VÀO LỚP 10 MÔN TIẾNG ANH NĂM HỌC 2023 - 2024 CÓ ĐÁP ÁN (NGỮ Â...
TỔNG ÔN TẬP THI VÀO LỚP 10 MÔN TIẾNG ANH NĂM HỌC 2023 - 2024 CÓ ĐÁP ÁN (NGỮ Â...TỔNG ÔN TẬP THI VÀO LỚP 10 MÔN TIẾNG ANH NĂM HỌC 2023 - 2024 CÓ ĐÁP ÁN (NGỮ Â...
TỔNG ÔN TẬP THI VÀO LỚP 10 MÔN TIẾNG ANH NĂM HỌC 2023 - 2024 CÓ ĐÁP ÁN (NGỮ Â...Nguyen Thanh Tu Collection
 
Exploring_the_Narrative_Style_of_Amitav_Ghoshs_Gun_Island.pptx
Exploring_the_Narrative_Style_of_Amitav_Ghoshs_Gun_Island.pptxExploring_the_Narrative_Style_of_Amitav_Ghoshs_Gun_Island.pptx
Exploring_the_Narrative_Style_of_Amitav_Ghoshs_Gun_Island.pptxPooja Bhuva
 
Accessible Digital Futures project (20/03/2024)
Accessible Digital Futures project (20/03/2024)Accessible Digital Futures project (20/03/2024)
Accessible Digital Futures project (20/03/2024)Jisc
 
On_Translating_a_Tamil_Poem_by_A_K_Ramanujan.pptx
On_Translating_a_Tamil_Poem_by_A_K_Ramanujan.pptxOn_Translating_a_Tamil_Poem_by_A_K_Ramanujan.pptx
On_Translating_a_Tamil_Poem_by_A_K_Ramanujan.pptxPooja Bhuva
 
Graduate Outcomes Presentation Slides - English
Graduate Outcomes Presentation Slides - EnglishGraduate Outcomes Presentation Slides - English
Graduate Outcomes Presentation Slides - Englishneillewis46
 
COMMUNICATING NEGATIVE NEWS - APPROACHES .pptx
COMMUNICATING NEGATIVE NEWS - APPROACHES .pptxCOMMUNICATING NEGATIVE NEWS - APPROACHES .pptx
COMMUNICATING NEGATIVE NEWS - APPROACHES .pptxannathomasp01
 
NO1 Top Black Magic Specialist In Lahore Black magic In Pakistan Kala Ilam Ex...
NO1 Top Black Magic Specialist In Lahore Black magic In Pakistan Kala Ilam Ex...NO1 Top Black Magic Specialist In Lahore Black magic In Pakistan Kala Ilam Ex...
NO1 Top Black Magic Specialist In Lahore Black magic In Pakistan Kala Ilam Ex...Amil baba
 
Application orientated numerical on hev.ppt
Application orientated numerical on hev.pptApplication orientated numerical on hev.ppt
Application orientated numerical on hev.pptRamjanShidvankar
 
General Principles of Intellectual Property: Concepts of Intellectual Proper...
General Principles of Intellectual Property: Concepts of Intellectual  Proper...General Principles of Intellectual Property: Concepts of Intellectual  Proper...
General Principles of Intellectual Property: Concepts of Intellectual Proper...Poonam Aher Patil
 
Sensory_Experience_and_Emotional_Resonance_in_Gabriel_Okaras_The_Piano_and_Th...
Sensory_Experience_and_Emotional_Resonance_in_Gabriel_Okaras_The_Piano_and_Th...Sensory_Experience_and_Emotional_Resonance_in_Gabriel_Okaras_The_Piano_and_Th...
Sensory_Experience_and_Emotional_Resonance_in_Gabriel_Okaras_The_Piano_and_Th...Pooja Bhuva
 

Último (20)

ICT role in 21st century education and it's challenges.
ICT role in 21st century education and it's challenges.ICT role in 21st century education and it's challenges.
ICT role in 21st century education and it's challenges.
 
This PowerPoint helps students to consider the concept of infinity.
This PowerPoint helps students to consider the concept of infinity.This PowerPoint helps students to consider the concept of infinity.
This PowerPoint helps students to consider the concept of infinity.
 
FSB Advising Checklist - Orientation 2024
FSB Advising Checklist - Orientation 2024FSB Advising Checklist - Orientation 2024
FSB Advising Checklist - Orientation 2024
 
HMCS Vancouver Pre-Deployment Brief - May 2024 (Web Version).pptx
HMCS Vancouver Pre-Deployment Brief - May 2024 (Web Version).pptxHMCS Vancouver Pre-Deployment Brief - May 2024 (Web Version).pptx
HMCS Vancouver Pre-Deployment Brief - May 2024 (Web Version).pptx
 
Jamworks pilot and AI at Jisc (20/03/2024)
Jamworks pilot and AI at Jisc (20/03/2024)Jamworks pilot and AI at Jisc (20/03/2024)
Jamworks pilot and AI at Jisc (20/03/2024)
 
Google Gemini An AI Revolution in Education.pptx
Google Gemini An AI Revolution in Education.pptxGoogle Gemini An AI Revolution in Education.pptx
Google Gemini An AI Revolution in Education.pptx
 
HMCS Max Bernays Pre-Deployment Brief (May 2024).pptx
HMCS Max Bernays Pre-Deployment Brief (May 2024).pptxHMCS Max Bernays Pre-Deployment Brief (May 2024).pptx
HMCS Max Bernays Pre-Deployment Brief (May 2024).pptx
 
How to setup Pycharm environment for Odoo 17.pptx
How to setup Pycharm environment for Odoo 17.pptxHow to setup Pycharm environment for Odoo 17.pptx
How to setup Pycharm environment for Odoo 17.pptx
 
UGC NET Paper 1 Mathematical Reasoning & Aptitude.pdf
UGC NET Paper 1 Mathematical Reasoning & Aptitude.pdfUGC NET Paper 1 Mathematical Reasoning & Aptitude.pdf
UGC NET Paper 1 Mathematical Reasoning & Aptitude.pdf
 
REMIFENTANIL: An Ultra short acting opioid.pptx
REMIFENTANIL: An Ultra short acting opioid.pptxREMIFENTANIL: An Ultra short acting opioid.pptx
REMIFENTANIL: An Ultra short acting opioid.pptx
 
TỔNG ÔN TẬP THI VÀO LỚP 10 MÔN TIẾNG ANH NĂM HỌC 2023 - 2024 CÓ ĐÁP ÁN (NGỮ Â...
TỔNG ÔN TẬP THI VÀO LỚP 10 MÔN TIẾNG ANH NĂM HỌC 2023 - 2024 CÓ ĐÁP ÁN (NGỮ Â...TỔNG ÔN TẬP THI VÀO LỚP 10 MÔN TIẾNG ANH NĂM HỌC 2023 - 2024 CÓ ĐÁP ÁN (NGỮ Â...
TỔNG ÔN TẬP THI VÀO LỚP 10 MÔN TIẾNG ANH NĂM HỌC 2023 - 2024 CÓ ĐÁP ÁN (NGỮ Â...
 
Exploring_the_Narrative_Style_of_Amitav_Ghoshs_Gun_Island.pptx
Exploring_the_Narrative_Style_of_Amitav_Ghoshs_Gun_Island.pptxExploring_the_Narrative_Style_of_Amitav_Ghoshs_Gun_Island.pptx
Exploring_the_Narrative_Style_of_Amitav_Ghoshs_Gun_Island.pptx
 
Accessible Digital Futures project (20/03/2024)
Accessible Digital Futures project (20/03/2024)Accessible Digital Futures project (20/03/2024)
Accessible Digital Futures project (20/03/2024)
 
On_Translating_a_Tamil_Poem_by_A_K_Ramanujan.pptx
On_Translating_a_Tamil_Poem_by_A_K_Ramanujan.pptxOn_Translating_a_Tamil_Poem_by_A_K_Ramanujan.pptx
On_Translating_a_Tamil_Poem_by_A_K_Ramanujan.pptx
 
Graduate Outcomes Presentation Slides - English
Graduate Outcomes Presentation Slides - EnglishGraduate Outcomes Presentation Slides - English
Graduate Outcomes Presentation Slides - English
 
COMMUNICATING NEGATIVE NEWS - APPROACHES .pptx
COMMUNICATING NEGATIVE NEWS - APPROACHES .pptxCOMMUNICATING NEGATIVE NEWS - APPROACHES .pptx
COMMUNICATING NEGATIVE NEWS - APPROACHES .pptx
 
NO1 Top Black Magic Specialist In Lahore Black magic In Pakistan Kala Ilam Ex...
NO1 Top Black Magic Specialist In Lahore Black magic In Pakistan Kala Ilam Ex...NO1 Top Black Magic Specialist In Lahore Black magic In Pakistan Kala Ilam Ex...
NO1 Top Black Magic Specialist In Lahore Black magic In Pakistan Kala Ilam Ex...
 
Application orientated numerical on hev.ppt
Application orientated numerical on hev.pptApplication orientated numerical on hev.ppt
Application orientated numerical on hev.ppt
 
General Principles of Intellectual Property: Concepts of Intellectual Proper...
General Principles of Intellectual Property: Concepts of Intellectual  Proper...General Principles of Intellectual Property: Concepts of Intellectual  Proper...
General Principles of Intellectual Property: Concepts of Intellectual Proper...
 
Sensory_Experience_and_Emotional_Resonance_in_Gabriel_Okaras_The_Piano_and_Th...
Sensory_Experience_and_Emotional_Resonance_in_Gabriel_Okaras_The_Piano_and_Th...Sensory_Experience_and_Emotional_Resonance_in_Gabriel_Okaras_The_Piano_and_Th...
Sensory_Experience_and_Emotional_Resonance_in_Gabriel_Okaras_The_Piano_and_Th...
 

Lesson 12: Implicit Differentiation

  • 1. Section 2.6 Implicit Differentiation V63.0121, Calculus I February 24/25, 2009 Announcements Midterm in class March 4/5 ALEKS due Friday, 11:59pm . . Image credit: Telstar Logistics . . . . . .
  • 2. Outline The big idea, by example Examples Vertical and Horizontal Tangents Chemistry The power rule for rational powers . . . . . .
  • 3. y . Motivating Example Problem Find the slope of the line which is tangent to the curve . x . 2 2 x +y =1 at the point (3/5, −4/5). . . . . . .
  • 4. y . Motivating Example Problem Find the slope of the line which is tangent to the curve . x . 2 2 x +y =1 at the point (3/5, −4/5). . . . . . .
  • 5. y . Motivating Example Problem Find the slope of the line which is tangent to the curve . x . 2 2 x +y =1 at the point (3/5, −4/5). . . . . . . .
  • 6. y . Motivating Example Problem Find the slope of the line which is tangent to the curve . x . 2 2 x +y =1 at the point (3/5, −4/5). . Solution (Explicit) √ Isolate: y2 = 1 − x2 =⇒ y = − 1 − x2 . (Why the −?) . . . . . .
  • 7. y . Motivating Example Problem Find the slope of the line which is tangent to the curve . x . 2 2 x +y =1 at the point (3/5, −4/5). . Solution (Explicit) √ Isolate: y2 = 1 − x2 =⇒ y = − 1 − x2 . (Why the −?) −2x dy x =− √ =√ Differentiate: 2 1 − x2 1 − x2 dx . . . . . .
  • 8. y . Motivating Example Problem Find the slope of the line which is tangent to the curve . x . 2 2 x +y =1 at the point (3/5, −4/5). . Solution (Explicit) √ Isolate: y2 = 1 − x2 =⇒ y = − 1 − x2 . (Why the −?) −2x dy x =− √ =√ Differentiate: 2 1 − x2 1 − x2 dx dy 3/5 3/5 3 =√ = =. Evaluate: 1 − (3/5) dx x=3/5 4/5 4 2 . . . . . .
  • 9. y . Motivating Example Problem Find the slope of the line which is tangent to the curve . x . 2 2 x +y =1 at the point (3/5, −4/5). . Solution (Explicit) √ Isolate: y2 = 1 − x2 =⇒ y = − 1 − x2 . (Why the −?) −2x dy x =− √ =√ Differentiate: 2 1 − x2 1 − x2 dx dy 3/5 3/5 3 =√ = =. Evaluate: 1 − (3/5) dx x=3/5 4/5 4 2 . . . . . .
  • 10. We know that x2 + y2 = 1 does not define y as a function of x, but suppose it did. Suppose we had y = f(x), so that x2 + (f(x))2 = 1 We could differentiate this equation to get 2x + 2f(x) · f′ (x) = 0 We could then solve to get x f′ (x) = − f(x) . . . . . .
  • 11. The beautiful fact (i.e., deep theorem) is that this works! y . “Near” most points on the curve x2 + y2 = 1, the curve resembles the graph of a function. So f(x) is defined “locally” . x . and is differentiable The chain rule then applies for this local . choice. . . . . . .
  • 12. The beautiful fact (i.e., deep theorem) is that this works! y . “Near” most points on the curve x2 + y2 = 1, the curve resembles the graph of a function. So f(x) is defined “locally” . x . and is differentiable The chain rule then applies for this local . choice. . . . . . .
  • 13. The beautiful fact (i.e., deep theorem) is that this works! y . “Near” most points on the curve x2 + y2 = 1, the curve resembles the graph of a function. So f(x) is defined “locally” . x . and is differentiable The chain rule then applies for this local . choice. l .ooks like a function . . . . . .
  • 14. The beautiful fact (i.e., deep theorem) is that this works! y . “Near” most points on the curve x2 + y2 = 1, the . curve resembles the graph of a function. So f(x) is defined “locally” . x . and is differentiable The chain rule then applies for this local choice. . . . . . .
  • 15. The beautiful fact (i.e., deep theorem) is that this works! y . “Near” most points on the curve x2 + y2 = 1, the . curve resembles the graph of a function. So f(x) is defined “locally” . x . and is differentiable The chain rule then applies for this local choice. . . . . . .
  • 16. The beautiful fact (i.e., deep theorem) is that this works! y . “Near” most points on the curve x2 + y2 = 1, the . curve resembles the graph of a function. l .ooks like a function So f(x) is defined “locally” . x . and is differentiable The chain rule then applies for this local choice. . . . . . .
  • 17. The beautiful fact (i.e., deep theorem) is that this works! y . “Near” most points on the curve x2 + y2 = 1, the curve resembles the graph of a function. So f(x) is defined “locally” . . x . and is differentiable The chain rule then applies for this local choice. . . . . . .
  • 18. The beautiful fact (i.e., deep theorem) is that this works! y . “Near” most points on the curve x2 + y2 = 1, the curve resembles the graph of a function. So f(x) is defined “locally” . . x . and is differentiable The chain rule then applies for this local choice. . . . . . .
  • 19. The beautiful fact (i.e., deep theorem) is that this works! y . “Near” most points on the curve x2 + y2 = 1, the curve resembles the graph of a function. So f(x) is defined “locally” . . x . and is differentiable . The chain rule then does not look like a applies for this local function, but that’s choice. OK—there are only two points like this . . . . . .
  • 20. Problem Find the slope of the line which is tangent to the curve x2 + y2 = 1 at the point (3/5, −4/5). Solution (Implicit, with Leibniz notation) Differentiate. Remember y is assumed to be a function of x: dy 2x + 2y = 0, dx dy Isolate : dx dy x =− . dx y Evaluate: dy 3/5 3 = =. dx ( 3 ,− 4 ) 4/5 4 5 5 . . . . . .
  • 21. Summary y . If a relation is given between x and y, “Most of the time” “at most places” y can be assumed to . be a function of x . we may differentiate the relation as is dy Solving for does give the dx slope of the tangent line to the curve at a point on the curve. . . . . . .
  • 22. Mnemonic Explicit Implicit y = f(x) F(x, y) = k . . Image credit: Walsh . . . . . .
  • 23. Outline The big idea, by example Examples Vertical and Horizontal Tangents Chemistry The power rule for rational powers . . . . . .
  • 24. Example Find the equation of the line tangent to the curve . y2 = x2 (x + 1) = x3 + x2 at the point (3, −6). . . . . . . .
  • 25. Example Find the equation of the line tangent to the curve . y2 = x2 (x + 1) = x3 + x2 at the point (3, −6). . Solution Differentiating the expression implicitly with respect to x gives 3x2 + 2x dy dy 2y = 3x2 + 2x, so = , and dx dx 2y 3 · 32 + 2 · 3 dy 11 =− . = dx 2(−6) 4 (3,−6) . . . . . .
  • 26. Example Find the equation of the line tangent to the curve . y2 = x2 (x + 1) = x3 + x2 at the point (3, −6). . Solution Differentiating the expression implicitly with respect to x gives 3x2 + 2x dy dy 2y = 3x2 + 2x, so = , and dx dx 2y 3 · 32 + 2 · 3 dy 11 =− . = dx 2(−6) 4 (3,−6) 11 Thus the equation of the tangent line is y + 6 = − (x − 3). 4 . . . . . .
  • 27. Example Find the horizontal tangent lines to the same curve: y2 = x3 + x2 . . . . . .
  • 28. Example Find the horizontal tangent lines to the same curve: y2 = x3 + x2 Solution . . . . . .
  • 29. Example Find the horizontal tangent lines to the same curve: y2 = x3 + x2 Solution We solve for dy/dx = 0: 3x2 + 2x = 0 =⇒ 3x2 + 2x = 0 =⇒ x(3x + 2) = 0 2y . . . . . .
  • 30. Example Find the horizontal tangent lines to the same curve: y2 = x3 + x2 Solution We solve for dy/dx = 0: 3x2 + 2x = 0 =⇒ 3x2 + 2x = 0 =⇒ x(3x + 2) = 0 2y The possible solution x = 0 leads to y = 0, which is not a smooth point of the function (the denominator in dy/dx becomes 0). . . . . . .
  • 31. Example Find the horizontal tangent lines to the same curve: y2 = x3 + x2 Solution We solve for dy/dx = 0: 3x2 + 2x = 0 =⇒ 3x2 + 2x = 0 =⇒ x(3x + 2) = 0 2y The possible solution x = 0 leads to y = 0, which is not a smooth point of the function (the denominator in dy/dx becomes 0). The possible solution x = − 2 yields y = ± 3√3 . 2 3 . . . . . .
  • 32. Example Find the vertical tangent lines to the same curve: y2 = x3 + x2 . . . . . .
  • 33. Example Find the vertical tangent lines to the same curve: y2 = x3 + x2 Solution dx = 0. Tangent lines are vertical when dy Differentiating x implicitly as a function of y gives dx dx 2y = 3x2 + 2x , so dy dy dx 2y =2 3x + 2x dy . . . . . .
  • 34. Example Find the vertical tangent lines to the same curve: y2 = x3 + x2 Solution dx = 0. Tangent lines are vertical when dy Differentiating x implicitly as a function of y gives dx dx 2y = 3x2 + 2x , so dy dy dx 2y =2 3x + 2x dy This is 0 only when y = 0. . . . . . .
  • 35. Example Find the vertical tangent lines to the same curve: y2 = x3 + x2 Solution dx = 0. Tangent lines are vertical when dy Differentiating x implicitly as a function of y gives dx dx 2y = 3x2 + 2x , so dy dy dx 2y =2 3x + 2x dy This is 0 only when y = 0. We get the false solution x = 0 and the real solution x = −1. . . . . . .
  • 36. Ideal gases The ideal gas law relates temperature, pressure, and volume of a gas: PV = nRT (R is a constant, n is the amount of gas in moles) . . Image credit: Scott Beale / Laughing Squid . . . . . .
  • 37. . Definition The isothermic compressibility of a fluid is defined by dV 1 β=− dP V with temperature held constant. . Image credit: Neil Better . . . . . .
  • 38. . Definition The isothermic compressibility of a fluid is defined by dV 1 β=− dP V with temperature held constant. The smaller the β, the “harder” the fluid. . Image credit: Neil Better . . . . . .
  • 39. Example Find the isothermic compressibility of an ideal gas. . . . . . .
  • 40. Example Find the isothermic compressibility of an ideal gas. Solution If PV = k (n is constant for our purposes, T is constant because of the word isothermic, and R really is constant), then dP dV dV V · V + P = 0 =⇒ =− dP dP dP P So 1 dV 1 β=− · = V dP P Compressibility and pressure are inversely related. . . . . . .
  • 41. Nonideal gasses Not that there’s anything wrong with that Example The van der Waals equation H .. makes fewer simplifications: O. ( ) . xygen . . H n2 P + a 2 (V − nb) = nRT, . V H .. O. H . ydrogen bonds . xygen where P is the pressure, V the H .. volume, T the temperature, n . the number of moles of the O. . xygen . . H gas, R a constant, a is a measure of attraction between H .. particles of the gas, and b a measure of particle size. . . . . . .
  • 42. Nonideal gasses Not that there’s anything wrong with that Example The van der Waals equation makes fewer simplifications: ( ) n2 P + a 2 (V − nb) = nRT, V where P is the pressure, V the volume, T the temperature, n the number of moles of the gas, R a constant, a is a measure of attraction between particles of the gas, and b a measure of particle size. . . Image credit: Wikimedia Commons . . . . . .
  • 43. Let’s find the compressibility of a van der Waals gas. Differentiating the van der Waals equation by treating V as a function of P gives ( ) ( ) an2 dV 2an2 dV + (V − bn) 1 − 3 P+ 2 = 0, dP V dP V . . . . . .
  • 44. Let’s find the compressibility of a van der Waals gas. Differentiating the van der Waals equation by treating V as a function of P gives ( ) ( ) an2 dV 2an2 dV + (V − bn) 1 − 3 P+ 2 = 0, dP V dP V so V2 (V − nb) 1 dV β=− = 2abn3 − an2 V + PV3 V dP . . . . . .
  • 45. Let’s find the compressibility of a van der Waals gas. Differentiating the van der Waals equation by treating V as a function of P gives ( ) ( ) an2 dV 2an2 dV + (V − bn) 1 − 3 P+ 2 = 0, dP V dP V so V2 (V − nb) 1 dV β=− = 2abn3 − an2 V + PV3 V dP What if a = b = 0? . . . . . .
  • 46. Let’s find the compressibility of a van der Waals gas. Differentiating the van der Waals equation by treating V as a function of P gives ( ) ( ) an2 dV 2an2 dV + (V − bn) 1 − 3 P+ 2 = 0, dP V dP V so V2 (V − nb) 1 dV β=− = 2abn3 − an2 V + PV3 V dP What if a = b = 0? dβ Without taking the derivative, what is the sign of ? db . . . . . .
  • 47. Let’s find the compressibility of a van der Waals gas. Differentiating the van der Waals equation by treating V as a function of P gives ( ) ( ) an2 dV 2an2 dV + (V − bn) 1 − 3 P+ 2 = 0, dP V dP V so V2 (V − nb) 1 dV β=− = 2abn3 − an2 V + PV3 V dP What if a = b = 0? dβ Without taking the derivative, what is the sign of ? db dβ Without taking the derivative, what is the sign of ? da . . . . . .
  • 48. Nasty derivatives (2abn3 − an2 V + PV3 )(nV2 ) − (nbV2 − V3 )(2an3 ) dβ =− (2abn3 − an2 V + PV3 )2 db (2 ) nV3 an + PV2 = −( )2 < 0 PV3 + an2 (2bn − V) n2 (bn − V)(2bn − V)V2 dβ =( )2 > 0 da PV3 + an2 (2bn − V) (as long as V > 2nb, and it’s probably true that V ≫ 2nb). . . . . . .
  • 49. Outline The big idea, by example Examples Vertical and Horizontal Tangents Chemistry The power rule for rational powers . . . . . .
  • 50. Using implicit differentiation to find derivatives Example √ dy if y = x. Find dx . . . . . .
  • 51. Using implicit differentiation to find derivatives Example √ dy if y = x. Find dx Solution √ If y = x, then y2 = x, so dy dy 1 1 = √. = 1 =⇒ = 2y dx dx 2y 2x . . . . . .
  • 52. The power rule for rational numbers Example dy if y = xp/q , where p and q are integers. Find dx . . . . . .
  • 53. The power rule for rational numbers Example dy if y = xp/q , where p and q are integers. Find dx Solution We have p xp−1 dy dy = · q−1 yq = xp =⇒ qyq−1 = pxp−1 =⇒ dx dx qy . . . . . .
  • 54. The power rule for rational numbers Example dy if y = xp/q , where p and q are integers. Find dx Solution We have p xp−1 dy dy = · q−1 yq = xp =⇒ qyq−1 = pxp−1 =⇒ dx dx qy Now yq−1 = xp(q−1)/q = xp−p/q so xp−1 = xp−1−(p−p/q) = xp/q−1 yq−1 . . . . . .