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INTRODUCTORY MATHEMATICAL ANALYSIS
For Business, Economics, and the Life and Social Sciences
2011 Pearson Education, Inc.
Chapter 12
Additional Differentiation Topics
2011 Pearson Education, Inc.
• To develop a differentiation formula for y = ln u.
• To develop a differentiation formula for y = eu.
• To give a mathematical analysis of the economic
concept of elasticity.
• To show how to differentiate a function of the form uv.
• To approximate real roots of an equation by using
calculus.
• To find higher-order derivatives both directly and
implicitly.
Chapter 12: Additional Differentiation Topics
Chapter Objectives
2011 Pearson Education, Inc.
Derivatives of Logarithmic Functions
Derivatives of Exponential Functions
Elasticity of Demand
Logarithmic Differentiation
Higher-Order Derivatives
12.1)
12.2)
12.3)
Chapter 12: Additional Differentiation Topics
Chapter Outline
12.4)
12.5)
2011 Pearson Education, Inc.
Chapter 12: Additional Differentiation Topics
12.1 Derivatives of Logarithmic Functions
• The derivatives of log functions are:
  0
where
1
ln
b. 
 x
x
x
dx
d
2011 Pearson Education, Inc.
Chapter 12: Additional Differentiation Topics
12.1 Derivatives of Logarithmic Functions
Example 1 – Differentiating Functions Involving ln x
b. Differentiate .
Solution:
2
ln
x
x
y 
     
 
 
0
for
ln
2
1
2
)
(ln
1
ln
ln
'
3
4
2
2
2
2
2













x
x
x
x
x
x
x
x
x
x
dx
d
x
x
dx
d
x
y
a. Differentiate f(x) = 5 ln x.
Solution:     0
for
5
ln
5
' 

 x
x
x
dx
d
x
f
2011 Pearson Education, Inc.
Chapter 12: Additional Differentiation Topics
12.1 Derivatives of Logarithmic Functions
Example 3 – Rewriting Logarithmic Functions before Differentiating
a. Find dy/dx if .
Solution:
b. Find f’(p) if .
Solution:
 3
5
2
ln 
 x
y
  2
/
5
for
5
2
6
2
5
2
1
3 










 x
x
x
dx
dy
       
3
4
2
3
1
2
1
3
1
4
1
2
1
3
1
1
1
2
'




































p
p
p
p
p
p
p
f
       
 
4
3
2
3
2
1
ln 


 p
p
p
p
f
2011 Pearson Education, Inc.
Chapter 12: Additional Differentiation Topics
12.1 Derivatives of Logarithmic Functions
Example 5 – Differentiating a Logarithmic Function to the Base 2
Differentiate y = log2x.
Solution:
Procedure to Differentiate logbu
• Convert logbu to and then differentiate.
b
u
ln
ln
 
 x
x
dx
d
x
dx
dy
2
ln
1
2
ln
ln
log2 







2011 Pearson Education, Inc.
Chapter 12: Additional Differentiation Topics
12.2 Derivatives of Exponential Functions
• The derivatives of exponential functions are:
  dx
du
e
e
dx
d u
u

a.
  x
x
e
e
dx
d

b.
   
dx
du
b
b
b
dx
d u
u
ln
c. 
 
   
   
  0
'
for
'
1
d. 1
1
1

 


x
f
f
x
f
f
x
f
dx
d
dy
dx
dx
dy 1
e. 
2011 Pearson Education, Inc.
Chapter 12: Additional Differentiation Topics
12.2 Derivatives of Exponential Functions
Example 1 – Differentiating Functions Involving ex
a.Find .
Solution:
b. If y = , find .
Solution:
c. Find y’ when .
Solution:
x
e
x
  x
x
x
e
x
e
dx
d
x
x
dx
d
e
dx
dy 


 
 1
3
ln
2


 x
e
e
y
x
x
e
e
y 


 0
0
'
 
x
e
dx
d
3
    x
x
x
e
e
dx
d
e
dx
d
3
3
3 

dx
dy
2011 Pearson Education, Inc.
Chapter 12: Additional Differentiation Topics
12.2 Derivatives of Exponential Functions
Example 5 – Differentiating Different Forms
Example 6 – Differentiating Power Functions Again
Find .
Solution:
 
x
e
x
e
dx
d
2
2


   
  
x
ex
x
e
ex
x
e
dx
d
x
e
x
e
x
e
2
2
ln
2
2
1
2
ln
2
1
2
ln
1
2














Prove d/dx(xa) = axa−1.
Solution:     1
1
ln 



 a
a
x
a
a
ax
ax
x
e
dx
d
x
dx
d
2011 Pearson Education, Inc.
Chapter 12: Additional Differentiation Topics
12.3 Elasticity of Demand
• Which of the following seem more serious:
An increase of 50 cents or an increase of 50% in the
price of a hamburger.
An increase of $100 or an increase of 1% in the
price of a new car.
• Percentage changes are often more important than the
amount of change
Therefore economists often use elasticities to
examine percentage change or responsiveness
• Price Elasticity of Demand (Ep)
The responsiveness of quantity demanded of a
commodity to changes in its price
2011 Pearson Education, Inc.
Chapter 12: Additional Differentiation Topics
12.3 Elasticity of Demand
Given a demand function that gives q in terms of p (so q=D(p)), the
elasticity of demand is
Note that since demand is [normally] a decreasing function of p, the
derivative is [normally] negative. That's why we have the absolute
value: so that E will always be positive.
 If E<1, we say demand is inelastic. In this case, raising prices increases revenue.
 If E>1, we say demand is elastic. In this case, raising prices decreases revenue.
 If E=1, we say demand is unitary. E=1 at critical points of the revenue function.
2011 Pearson Education, Inc.
Chapter 12: Additional Differentiation Topics
12.3 Elasticity of Demand
Determine the point elasticity of the demand equation
Solution
From the definition, we have q = k/p, then
E=1, we say demand is unitary.
2011 Pearson Education, Inc.
Chapter 12: Additional Differentiation Topics
12.3 Elasticity of Demand
Example 2:
A company sells q ribbon winders per year at $p per ribbon
winder. The demand function for ribbon winders is given by
p=300−0.02q. Find the elasticity of demand when the price is $70
a piece. Will an increase in price lead to an increase in revenue?
2011 Pearson Education, Inc.
Chapter 12: Additional Differentiation Topics
12.7 Higher-Order Derivatives
For higher-order derivatives:
2011 Pearson Education, Inc.
Chapter 12: Additional Differentiation Topics
12.7 Higher-Order Derivatives
Example 1 – Finding Higher-Order Derivatives
a. If , find all higher-order
derivatives.
Solution:
b. If f(x) = 7, find f(x).
Solution:
  2
6
12
6 2
3



 x
x
x
x
f
 
 
 
 
  0
36
'
'
'
24
36
'
'
6
24
18
'
4
2







x
f
x
f
x
x
f
x
x
x
f
 
  0
'
'
0
'


x
f
x
f
2011 Pearson Education, Inc.
Chapter 12: Additional Differentiation Topics
12.7 Higher-Order Derivatives
Example 3 – Evaluating a Second-Order Derivative
Solution:
  .
4
when
find
,
4
16
If 2
2


 x
dx
y
d
x
x
f
 
  3
2
2
2
4
32
4
16







x
dx
y
d
x
dx
dy
16
1
4
2
2


x
dx
y
d

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Chapter12 (More Differentiation).ppt

  • 1. INTRODUCTORY MATHEMATICAL ANALYSIS For Business, Economics, and the Life and Social Sciences 2011 Pearson Education, Inc. Chapter 12 Additional Differentiation Topics
  • 2. 2011 Pearson Education, Inc. • To develop a differentiation formula for y = ln u. • To develop a differentiation formula for y = eu. • To give a mathematical analysis of the economic concept of elasticity. • To show how to differentiate a function of the form uv. • To approximate real roots of an equation by using calculus. • To find higher-order derivatives both directly and implicitly. Chapter 12: Additional Differentiation Topics Chapter Objectives
  • 3. 2011 Pearson Education, Inc. Derivatives of Logarithmic Functions Derivatives of Exponential Functions Elasticity of Demand Logarithmic Differentiation Higher-Order Derivatives 12.1) 12.2) 12.3) Chapter 12: Additional Differentiation Topics Chapter Outline 12.4) 12.5)
  • 4. 2011 Pearson Education, Inc. Chapter 12: Additional Differentiation Topics 12.1 Derivatives of Logarithmic Functions • The derivatives of log functions are:   0 where 1 ln b.   x x x dx d
  • 5. 2011 Pearson Education, Inc. Chapter 12: Additional Differentiation Topics 12.1 Derivatives of Logarithmic Functions Example 1 – Differentiating Functions Involving ln x b. Differentiate . Solution: 2 ln x x y            0 for ln 2 1 2 ) (ln 1 ln ln ' 3 4 2 2 2 2 2              x x x x x x x x x x dx d x x dx d x y a. Differentiate f(x) = 5 ln x. Solution:     0 for 5 ln 5 '    x x x dx d x f
  • 6. 2011 Pearson Education, Inc. Chapter 12: Additional Differentiation Topics 12.1 Derivatives of Logarithmic Functions Example 3 – Rewriting Logarithmic Functions before Differentiating a. Find dy/dx if . Solution: b. Find f’(p) if . Solution:  3 5 2 ln   x y   2 / 5 for 5 2 6 2 5 2 1 3             x x x dx dy         3 4 2 3 1 2 1 3 1 4 1 2 1 3 1 1 1 2 '                                     p p p p p p p f           4 3 2 3 2 1 ln     p p p p f
  • 7. 2011 Pearson Education, Inc. Chapter 12: Additional Differentiation Topics 12.1 Derivatives of Logarithmic Functions Example 5 – Differentiating a Logarithmic Function to the Base 2 Differentiate y = log2x. Solution: Procedure to Differentiate logbu • Convert logbu to and then differentiate. b u ln ln    x x dx d x dx dy 2 ln 1 2 ln ln log2        
  • 8. 2011 Pearson Education, Inc. Chapter 12: Additional Differentiation Topics 12.2 Derivatives of Exponential Functions • The derivatives of exponential functions are:   dx du e e dx d u u  a.   x x e e dx d  b.     dx du b b b dx d u u ln c.              0 ' for ' 1 d. 1 1 1      x f f x f f x f dx d dy dx dx dy 1 e. 
  • 9. 2011 Pearson Education, Inc. Chapter 12: Additional Differentiation Topics 12.2 Derivatives of Exponential Functions Example 1 – Differentiating Functions Involving ex a.Find . Solution: b. If y = , find . Solution: c. Find y’ when . Solution: x e x   x x x e x e dx d x x dx d e dx dy       1 3 ln 2    x e e y x x e e y     0 0 '   x e dx d 3     x x x e e dx d e dx d 3 3 3   dx dy
  • 10. 2011 Pearson Education, Inc. Chapter 12: Additional Differentiation Topics 12.2 Derivatives of Exponential Functions Example 5 – Differentiating Different Forms Example 6 – Differentiating Power Functions Again Find . Solution:   x e x e dx d 2 2          x ex x e ex x e dx d x e x e x e 2 2 ln 2 2 1 2 ln 2 1 2 ln 1 2               Prove d/dx(xa) = axa−1. Solution:     1 1 ln      a a x a a ax ax x e dx d x dx d
  • 11. 2011 Pearson Education, Inc. Chapter 12: Additional Differentiation Topics 12.3 Elasticity of Demand • Which of the following seem more serious: An increase of 50 cents or an increase of 50% in the price of a hamburger. An increase of $100 or an increase of 1% in the price of a new car. • Percentage changes are often more important than the amount of change Therefore economists often use elasticities to examine percentage change or responsiveness • Price Elasticity of Demand (Ep) The responsiveness of quantity demanded of a commodity to changes in its price
  • 12. 2011 Pearson Education, Inc. Chapter 12: Additional Differentiation Topics 12.3 Elasticity of Demand Given a demand function that gives q in terms of p (so q=D(p)), the elasticity of demand is Note that since demand is [normally] a decreasing function of p, the derivative is [normally] negative. That's why we have the absolute value: so that E will always be positive.  If E<1, we say demand is inelastic. In this case, raising prices increases revenue.  If E>1, we say demand is elastic. In this case, raising prices decreases revenue.  If E=1, we say demand is unitary. E=1 at critical points of the revenue function.
  • 13. 2011 Pearson Education, Inc. Chapter 12: Additional Differentiation Topics 12.3 Elasticity of Demand Determine the point elasticity of the demand equation Solution From the definition, we have q = k/p, then E=1, we say demand is unitary.
  • 14. 2011 Pearson Education, Inc. Chapter 12: Additional Differentiation Topics 12.3 Elasticity of Demand Example 2: A company sells q ribbon winders per year at $p per ribbon winder. The demand function for ribbon winders is given by p=300−0.02q. Find the elasticity of demand when the price is $70 a piece. Will an increase in price lead to an increase in revenue?
  • 15. 2011 Pearson Education, Inc. Chapter 12: Additional Differentiation Topics 12.7 Higher-Order Derivatives For higher-order derivatives:
  • 16. 2011 Pearson Education, Inc. Chapter 12: Additional Differentiation Topics 12.7 Higher-Order Derivatives Example 1 – Finding Higher-Order Derivatives a. If , find all higher-order derivatives. Solution: b. If f(x) = 7, find f(x). Solution:   2 6 12 6 2 3     x x x x f           0 36 ' ' ' 24 36 ' ' 6 24 18 ' 4 2        x f x f x x f x x x f     0 ' ' 0 '   x f x f
  • 17. 2011 Pearson Education, Inc. Chapter 12: Additional Differentiation Topics 12.7 Higher-Order Derivatives Example 3 – Evaluating a Second-Order Derivative Solution:   . 4 when find , 4 16 If 2 2    x dx y d x x f     3 2 2 2 4 32 4 16        x dx y d x dx dy 16 1 4 2 2   x dx y d