Differentiation
Jacques Text Book (edition 4 ):
            Chapter 4
1.Rules of Differentiation
2.Applications
                                   1
 Differentiation is all about measuring change!
     Measuring change in a linear function:
              y = a + bx
a = intercept
b = constant slope i.e. the impact of a unit
  change in x on the level of y
                            y2  y1
        b = y       =
            x              x2  x1
                                                  2
            If the function is non-linear:
       40
                     e.g. if y = x2
       30
y=x2
       20
       10
       0
            0       1             2       3
                                          X    4     5    6
        y              y2  y1
        x
                =       x2  x1
                                      gives slope of the line
       connecting 2 points (x1, y1) and (x2,y2) on a
       curve
             (2,4) to (4,16): slope = (16-4)/(4-2) = 6
             (2,4) to (6,36): slope = (36-4)/(6-2) = 8         3
The slope of a curve is equal to the slope of
the line (or tangent) that touches the curve
                 at that point
                         Total Cost Curve
        40
        35
        30
        25
 y=x2
        20
        15
        10
         0
             1   2   3          4           5   6   7
                                                        4
Example:A firms cost function is
                    Y = X2
     X         X            Y   Y
     0                    0
     1         +1         1       +1
     2         +1         4       +3
     3         +1         9       +5
     4         +1        16       +7
      2
Y=X
Y+Y = (X+X) 2
Y+Y =X2+2X.X+X2
Y = X2+2X.X+X2 – Y
since Y = X2  Y =   2X.X+X2
Y
X
     = 2X+X
The slope depends on X and X
                                       5
The slope of the graph of a function
   is called the derivative of the
               function
                   dy       y
        f ' ( x)      lim
                   dx x0 x
• The process of differentiation involves
  letting the change in x become arbitrarily
  small, i.e. letting  x  0
• e.g if = 2X+X and X 0
•  = 2X in the limit as X 0
                                               6
  the slope of the non-linear
           function
          Y = X2 is 2X
• the slope tells us the change in y that
  results from a very small change in X
• We see the slope varies with X
 e.g. the curve at X = 2 has a slope = 4
 and the curve at X = 4 has a slope = 8
• In this example, the slope is steeper
  at higher values of X                   7
   Rules for Differentiation
        (section 4.3)
1. The Constant Rule
If y = c      where c is a constant,
                    dy
                       0
                    dx
                        dy
e.g. y = 10        then dx  0
                                       8
2. The Linear Function Rule
If y = a + bx
                dy
                   b
                dx
                      dy
                         6
e.g. y = 10 + 6x then dx
                              9
3. The Power Function Rule
  If y = axn,       where a and n are constants
                      dy
                          n.a .x n 1
                      dx
               dy
  i) y = 4x => dx  4 x 0
                          4
                       dy
  ii) y = 4x   2
                    => dx  8 x
                 dy        3
               -2
  iii) y = 4x => dx  8 x
                                                  10
4. The Sum-Difference Rule
  If y = f(x)  g(x)
             dy d [ f ( x )] d [ g( x )]
                           
             dx     dx           dx
  If y is the sum/difference of two or more
  functions of x:
  differentiate the 2 (or more)            terms
  separately, then add/subtract
                                dy
  (i) y = 2x2 + 3x     then         4x  3
                                dx
                       dy
  (ii) y = 5x + 4 then dx  5                      11
5. The Product Rule
If y = u.v where u and v are functions of x,
(u = f(x) and v = g(x) ) Then
             dy    dv    du
                u    v
             dx    dx    dx
                                               12
                 Examples
                           dy     dv     du
If y = u.v                     u     v
                           dx     dx     dx
                       2
i) y = (x+2)(ax +bx)
dy
 dx
                              
      x  2 2 ax  b   ax  bx
                               2           
ii) y = (4x3-3x+2)(2x2+4x)
 dy   4x3 3x  2 4x  4 2x2  4x 12x2 3
dx                                                 
                                                            13
6. The Quotient Rule
• If y = u/v where u and v are functions of x
  (u = f(x) and v = g(x) )  Then
             du     dv
           v    u
      dy     dx     dx
                 2
      dx        v
                                            14
                                    du    dv
                                v      u
           u             dy         dx    dx
  If y          then       
           v             dx            v2
  Example 1
y
    x  2
   x  4
dy  x  4 1   x  2 1      2
                              
dx         x  4   2
                                 x  42
                                               15
7. The Chain Rule
    (Implicit Function Rule)
• If y is a function of v, and v is a function of
  x, then y is a function of x and
           dy dy dv
               .
           dx dv dx
                                                16
                               dy dy dv
                                   .
                Examples       dx dv dx
            2        ½
i)   y = (ax + bx)
let v = (ax2 + bx) , so y = v½
                    
                        1
 dy 1                 
      ax  bx 2 .2ax  b 
              2
 dx 2
ii) y = (4x + 3x – 7 )
            3            4
let v = (4x + 3x – 7 ), so y = v
            3                      4
 dy
 dx
          3        3
                         
     4 4 x  3x  7 . 12 x  3
                           2
                                       
                                           17
 8. The Inverse Function Rule
                  dy   1
                     
 If x = f(y) then dx dx
                        dy
• Examples
     i)    x = 3y2 then
     dx            dy    1
     dy
         6y    so dx  6 y
     ii)   y = 4x3 then
     dy               dx     1
         12 x 2   so dy  12 x 2
     dx                             18
      Differentiation in Economics
            Application I
•   Total Costs = TC = FC + VC
•   Total Revenue = TR = P * Q
•    = Profit = TR – TC
•   Break even:  = 0, or TR = TC
•   Profit Maximisation: MR = MC
                                     19
Application I: Marginal Functions
  (Revenue, Costs and Profit)
•
    Calculating Marginal Functions
                d TR 
           MR 
                 dQ
                    d TC 
               MC 
                      dQ
                                     20
               Example 1
• A firm faces the
                               Solution:
  demand curve P=17-3Q
• (i) Find an expression
                            TR = P.Q = 17Q – 3Q2
  for TR in terms of Q
• (ii) Find an expression
  for MR in terms of Q           d TR 
                            MR           17  6Q
                                  dQ
                                                 21
Example 2
            22
             Solution
(i) TC = Q3 – 4Q2 + 12Q
              TC
 Then, AC =      / Q = Q – 4Q + 12
                         2
          d TC 
 (ii) MC = dQ       3Q 2
                            8Q  12
(iii) When does AC = MC?
 Q2 – 4Q + 12 = 3Q2 – 8Q + 12
Q =2
Thus, AC = MC when Q = 2
                                       23
  Solution continued….
(iv) When does the slope of AC = 0?
d  AC 
          2Q  4 = 0
   dQ
 Q = 2 when slope AC = 0
(v) Economic Significance?
MC cuts AC curve at minimum point…
                                  24
9. Differentiating Exponential Functions
                     x
 If y = exp(x) = e       where e = 2.71828….
                      dy
                 then dx  e
                             x
More generally,
         rx
If y = Ae
                   dy
              then dx  rAe  ry
                           rx
                                           25
            Examples
           2x
                     dy     2x
1) y = e        then dx = 2e
       -7x
                     dy       -7x
2) y = e        then dx = -7e
                                    26
10. Differentiating Natural Logs
  Recall if y = ex then x = loge y = ln y
                        dy
  If y = e
           x
                 then       ex   = y
                        dx
  From The Inverse Function Rule
          dx   1
  y = e  dy  y
       x
  Now, if y = ex this is equivalent to writing
     x = ln y
                       dx   1
  Thus, x = ln y    dy y
                          
                                                   27
More generally,
              dy 1
                
if y = ln x  dx x
NOTE: the derivative of a natural log
function does not depend on the co-efficient
of x
Thus, if y = ln mx    dy 1
                         
                       dx x
                                         28
                 Proof
 if y = ln mx       m>0
 Rules of Logs  y = ln m+ ln x
 Differentiating (Sum-Difference rule)
      dy    1 1
         0 
      dx    x x
                                      29
              Examples
                         dy 1
1) y = ln 5x (x>0)        
                         dx x
              2
2) y = ln(x +2x+1)
          2
let v = (x +2x+1)    so y = ln v
              dy dy dv
Chain Rule:  dx  dv . dx
dy        1
    2          .2 x  2
dx x  2 x  1
dy
    2
       2 x  2
dx    
     x  2x  1      
                                   30
3) y = x4lnx
Product Rule: 
   dy    4 1
      x      ln x.4 x3
   dx      x
        = x 3
               4 x 3
                      ln x = x 3
                                 1  4 ln x 
4) y = ln(x3(x+2)4)
Simplify first using rules of logs
    y = lnx3 + ln(x+2)4
   y = 3lnx + 4ln(x+2)
   dy 3   4
      
   dx x x  2
                                                 31
                  Applications II
• how does demand change with a change in
  price……
• e d=       proportional change in demand
              proportional change in price
             Q    P     Q P
         =   Q      P   = P . Q
                                             32
Point elasticity of demand
               dQ P
                 .
          ed = dP Q
ed is negative for a downward sloping demand
curve
–Inelastic demand if | ed |<1
–Unit elastic demand if | ed |=1
–Elastic demand if | ed |>1
                                          33
                Example 1
                                     -b
Find ed of the function Q= aP
              dQ P
       ed =     .
              dP Q
                      b 1     P
       ed =    baP           . b
                               aP
            baP b P
          = P . aP b  b
ed at all price levels is –b
                                          34
             Example 2
If the (inverse) Demand equation is
P = 200 – 40ln(Q+1)
Calculate the price elasticity of demand
when Q = 20
                                     dQ P
 Price elasticity of demand: ed =     .
                                     dP Q
                                            <0
 P is expressed in terms of Q,
                   dP     40
                      
                   dQ    Q 1
                   dQ    Q 1
 Inverse rule    dP
                      
                          40
                 Q 1 P
 Hence, ed =  40 . Q     <0
                     21 78.22
 Q is 20  ed   =  40 . 20 = -2.05
(where P = 200 – 40ln(20+1) = 78.22)             35
Application III: Differentiation of Natural
  Logs to find Proportional Changes
                                f’(x)
The derivative of log(f(x))     /f(x), or the
proportional change in the variable x
i.e. y = f(x), then the proportional  x
        dy 1        d (ln y )
      = dx . y    =    dx
Take logs and differentiate to             find
proportional changes in variables
                                                  36
                             dy 1     
1) Show that if y = x , then dx . y  x
                     
and this  derivative of ln(y) with respect to x.
Solution:
dy 1  1
  .    .x  1
dx y  y
        1   x
      = y . x
        1      y
      = y . . x
        
      = x
                                                    37
   Solution Continued…
                  
Now ln y = ln x
Re-writing  ln y = lnx
               d (ln y )     1 
                         . 
                  dx         x  x
Differentiating the ln y with respect to x gives
the proportional change in x.
                                              38
      Example 2: If Price level at time t is
                      P(t) = a+bt+ct2
             Calculate the rate of inflation.
Solution:                                     Alternatively,
The inflation rate at t is the proportional differentiating the log of P(t) wrt t directly
change in p                                                     2
                                              lnP(t) = ln(a+bt+ct )
 1 dP( t ) b  2ct
      .                                      where v = (a+bt+ct2) so lnP = ln v
P( t ) dt a  bt  ct 2
                                              Using chain rule,
                                              d ln P( t )     b  2ct
                                                            
                                                   dt         a  bt  ct 2
                                                                                      39