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Topic 5:
Differentiation 1
This topic will cover:
◦ Gradient
◦ Definition of the derivative
◦ Rules of differentiation
By the end of this topic students will be able
to:
◦ Find the derivative of variables raised to a power
◦ Use the rules of differentiation
◦ Relate differentiation to optimization
 Obtain the economic order quantity formula
◦ Expression2𝑥, 5𝑥 + 1, 10𝑥2
+ 2𝑥
◦ Equation
 identity 2𝑥 + 3 5𝑥 + 1 = 10𝑥2 + 17𝑥 + 3
 conditional 2 − 𝑥2 = 0, 𝑦 − 𝑥2 = 0
◦ Function 𝑥 = 𝑦 , 𝑦 ≥ 0
𝑥 = 𝑦 , 𝑦 ≥ 0, 𝑥 ≥ 0


-4
-2
0
2
0 0.5 1 1.5 2
0
1
2
3
4
0 0.5 1 1.5 2
0
2
4
6
8
0 0.5 1 1.5 2
0
0.5
1
1.5
2
0 0.5 1 1.5 2
y = x
y = x2
y = ex
y = lnx
y
x
y = c
y = f(x) = mx + c
x = -c/m
y increases m
x increases 1
◦ Ratio of vertical change to horizontal change
gradient =
∆𝑦
∆𝑥
∆𝑦
∆𝑥
=
𝑓 𝑥 + ∆𝑥 − 𝑓 𝑥
∆𝑥
∆𝑦
∆𝑥
=
m𝑥 + m∆𝑥 + c − m𝑥 − c
∆𝑥
∆𝑦
∆𝑥
= m
f(x+∆x)
f(x)
x+∆xx
∆x
∆y= f(x+∆x)-f
y = f(x) = mx + c
◦ Which line best approximates the gradient of the non-
linear curve at the point?
x xxx
◦ Derivative
 quantifies rate of change of a function with respect to
an independent variable
 aka differential coefficient
◦ Defined as
𝑓′ 𝑥 =
𝑑𝑦
𝑑𝑥
= lim
∆𝑥→0
𝑓 𝑥 + ∆𝑥 − 𝑓 𝑥
∆𝑥 ∆y= f(x+∆x)-f(
f(x+∆x)
f(x)
x+∆xx
∆x
𝑓′ 𝑥 =
𝑑𝑦
𝑑𝑥
= lim
∆𝑥→0
𝑓 𝑥 + ∆𝑥 − 𝑓 𝑥
∆𝑥
𝑓 𝑥 = 𝑦 = a𝑥2
𝑓′ 𝑥 =
𝑑𝑦
𝑑𝑥
= lim
∆𝑥→0
a 𝑥 + ∆𝑥 2 − 𝑥2
∆𝑥
∆y= a(x+∆x)2 –
∆x
y
y = ax2
𝑑𝑦
𝑑𝑥
𝑑𝑦
𝑑𝑥
= 2ax
𝑑𝑦
𝑑𝑥
= lim
∆𝑥→0
2a𝑥 + a∆𝑥 = 2a𝑥
◦ Already shown that for,
𝑦 = a𝑥2
,
𝑑𝑦
𝑑𝑥
= 2a𝑥
◦ Generally it can also be shown,
𝑦 = a𝑥n,
𝑑𝑦
𝑑𝑥
= na𝑥n−1
a) 𝑦 = 3𝑥
b) 𝑦 = 4𝑥3
c) 𝑦 =
7
𝑥
d) 𝑦 = 17
e) 𝑦 = 3
𝑥
f) 𝑦 =
6
𝑥
𝒅𝒚
𝒅𝒙
= 𝐧𝐚𝒙 𝒏−𝟏𝒚 = 𝐚𝒙 𝒏
◦ Commonly met functions in business
 powers, exponential and natural logarithms.
𝒚 𝒅𝒚
𝒅𝒙
𝒚 = 𝐚𝒙 𝒏 𝒅𝒚
𝒅𝒙
= 𝐧𝐚𝒙 𝐧−𝟏
𝒚 = 𝐞 𝐚𝒙 𝒅𝒚
𝒅𝒙
= 𝐚𝐞 𝐚𝒙
𝒚 = 𝒍𝒏 𝒂𝒙 = 𝒍𝒐𝒈 𝐞 𝒙 𝒅𝒚
𝒅𝒙
=
𝟏
𝒙
a) 𝑦 = 𝑒5𝑥
b) 𝑦 = 𝑒−4𝑥
a)
𝑑𝑦
𝑑𝑥
= 5𝑒5𝑥
b)
𝑑𝑦
𝑑𝑥
= −4𝑒−4𝑥
𝒅𝒚
𝒅𝒙
= 𝐚𝒆 𝒂𝒙𝒚 = 𝐞 𝐚𝒙
a) 𝑦 = 𝑙𝑛(5𝑥)
b) 𝑦 = 𝑙𝑛 −4𝑥
a)
𝑑𝑦
𝑑𝑥
=
1
𝑥
b)
𝑑𝑦
𝑑𝑥
=
1
𝑥
𝒅𝒚
𝒅𝒙
=
𝟏
𝒙
𝒚 = 𝒍𝒏 𝒂𝒙

𝑑
𝑑𝑥
𝑎𝑓 𝑥 + 𝑏𝑔 𝑥 = 𝑎
𝑑𝑓
𝑑𝑥
+ 𝑏
𝑑𝑔
𝑑𝑥
𝑦 = 4𝑥3 + 3𝑥 + 17
𝑑𝑦
𝑑𝑥
= 12𝑥2 + 3

𝑑
𝑑𝑥
𝑓 𝑥 𝑔 𝑥 = 𝑓 𝑥
𝑑𝑔
𝑑𝑥
+ 𝑔 𝑥
𝑑𝑓
𝑑𝑥
𝑦 = 𝑥4e2𝑥
𝑑𝑦
𝑑𝑥
= 𝑥4
2e2𝑥
+ e2𝑥
4𝑥3
= 2𝑥3
e2𝑥
𝑥 + 2
𝑓(𝑥) = 𝑥4 𝑔(𝑥) = e2𝑥
𝑑𝑓
𝑑𝑥
= 4𝑥3
𝑑𝑔
𝑑𝑥
= 2e2𝑥

𝑑
𝑑𝑥
𝑓 𝑔 𝑥 =
𝑑𝑓
𝑑𝑔
𝑑𝑔
𝑑𝑥
𝑦 = 7𝑥2
+ 3 3
𝑑𝑓
𝑑𝑔
= 3𝑔2
𝑑𝑔
𝑑𝑥
= 14𝑥
𝑓 = 𝑔(𝑥) 3
𝑑𝑦
𝑑𝑥
= 42𝑥 7𝑥2 + 3 2
𝑔 𝑥 = 7𝑥2
+ 3

𝑑
𝑑𝑥
𝑓 𝑥
𝑔 𝑥
=
𝑔 𝑥
𝑑𝑓
𝑑𝑥
−𝑓 𝑥
𝑑𝑔
𝑑𝑥
𝑔 𝑥
2 𝑦 =
𝑥
𝑥2 + 1
𝑑𝑔
𝑑𝑥
= 2𝑥
𝑑𝑓
𝑑𝑥
= 1
𝑔 𝑥 = 𝑥2
+ 1
𝑑𝑦
𝑑𝑥
=
1 − 𝑥2
𝑥2 + 1 2
𝑓 𝑥 = 𝑥

𝑑
𝑑𝑥
𝑎𝑓 𝑥 + 𝑏𝑔 𝑥 = 𝑎
𝑑𝑓
𝑑𝑥
+ 𝑏
𝑑𝑔
𝑑𝑥

𝑑
𝑑𝑥
𝑓 𝑥 𝑔 𝑥 = 𝑓 𝑥
𝑑𝑔
𝑑𝑥
+ 𝑔 𝑥
𝑑𝑓
𝑑𝑥

𝑑
𝑑𝑥
𝑓 𝑔 𝑥 =
𝑑𝑓
𝑑𝑔
𝑑𝑔
𝑑𝑥

𝑑
𝑑𝑥
𝑓 𝑥
𝑔 𝑥
=
𝑔 𝑥
𝑑𝑓
𝑑𝑥
−𝑓 𝑥
𝑑𝑔
𝑑𝑥
𝑔 𝑥
2
profit
cost
zero gradient
management
decision
◦ Economic order quantity1
𝑇𝐶 = 𝑑. 𝑝 + 𝐶ℎ
𝑞
2
+ 𝐶 𝑜
𝑑
𝑞
1 Harris (1913), Wilson (1934)
totalcost
quantity
𝑑𝑇𝐶
𝑑𝑞
=
𝐶ℎ
2
−
𝐶 𝑜 𝑑
𝑞2
𝐶ℎ
2
−
𝐶 𝑜 𝑑
𝑞2
= 0
𝑞 =
2𝐶0 𝑑
𝐶ℎ
By the end of this topic students will be able
to:
◦ Find the derivative of variables raised to a power
◦ Use the rules of differentiation
◦ Relate differentiation to optimization
 Obtain the economic order quantity formula
◦ Harris, FW. (1913). How many parts to make at
once. Factory, the Magazine of Management 10(2),
135-136; reprinted in Operations Research 1990,
38(6), 947-950
◦ Wilson, RH. (1934). A scientific routine for stock
control, Harvard Business Review 13(1), 116-128.
Any Questions?

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Lecture 05 Differentiation 1

  • 2. This topic will cover: ◦ Gradient ◦ Definition of the derivative ◦ Rules of differentiation
  • 3. By the end of this topic students will be able to: ◦ Find the derivative of variables raised to a power ◦ Use the rules of differentiation ◦ Relate differentiation to optimization  Obtain the economic order quantity formula
  • 4. ◦ Expression2𝑥, 5𝑥 + 1, 10𝑥2 + 2𝑥 ◦ Equation  identity 2𝑥 + 3 5𝑥 + 1 = 10𝑥2 + 17𝑥 + 3  conditional 2 − 𝑥2 = 0, 𝑦 − 𝑥2 = 0 ◦ Function 𝑥 = 𝑦 , 𝑦 ≥ 0 𝑥 = 𝑦 , 𝑦 ≥ 0, 𝑥 ≥ 0  
  • 5. -4 -2 0 2 0 0.5 1 1.5 2 0 1 2 3 4 0 0.5 1 1.5 2 0 2 4 6 8 0 0.5 1 1.5 2 0 0.5 1 1.5 2 0 0.5 1 1.5 2 y = x y = x2 y = ex y = lnx
  • 6. y x y = c y = f(x) = mx + c x = -c/m y increases m x increases 1
  • 7. ◦ Ratio of vertical change to horizontal change gradient = ∆𝑦 ∆𝑥 ∆𝑦 ∆𝑥 = 𝑓 𝑥 + ∆𝑥 − 𝑓 𝑥 ∆𝑥 ∆𝑦 ∆𝑥 = m𝑥 + m∆𝑥 + c − m𝑥 − c ∆𝑥 ∆𝑦 ∆𝑥 = m f(x+∆x) f(x) x+∆xx ∆x ∆y= f(x+∆x)-f y = f(x) = mx + c
  • 8. ◦ Which line best approximates the gradient of the non- linear curve at the point? x xxx
  • 9. ◦ Derivative  quantifies rate of change of a function with respect to an independent variable  aka differential coefficient ◦ Defined as 𝑓′ 𝑥 = 𝑑𝑦 𝑑𝑥 = lim ∆𝑥→0 𝑓 𝑥 + ∆𝑥 − 𝑓 𝑥 ∆𝑥 ∆y= f(x+∆x)-f( f(x+∆x) f(x) x+∆xx ∆x
  • 10. 𝑓′ 𝑥 = 𝑑𝑦 𝑑𝑥 = lim ∆𝑥→0 𝑓 𝑥 + ∆𝑥 − 𝑓 𝑥 ∆𝑥 𝑓 𝑥 = 𝑦 = a𝑥2 𝑓′ 𝑥 = 𝑑𝑦 𝑑𝑥 = lim ∆𝑥→0 a 𝑥 + ∆𝑥 2 − 𝑥2 ∆𝑥 ∆y= a(x+∆x)2 – ∆x y y = ax2 𝑑𝑦 𝑑𝑥 𝑑𝑦 𝑑𝑥 = 2ax 𝑑𝑦 𝑑𝑥 = lim ∆𝑥→0 2a𝑥 + a∆𝑥 = 2a𝑥
  • 11. ◦ Already shown that for, 𝑦 = a𝑥2 , 𝑑𝑦 𝑑𝑥 = 2a𝑥 ◦ Generally it can also be shown, 𝑦 = a𝑥n, 𝑑𝑦 𝑑𝑥 = na𝑥n−1
  • 12. a) 𝑦 = 3𝑥 b) 𝑦 = 4𝑥3 c) 𝑦 = 7 𝑥 d) 𝑦 = 17 e) 𝑦 = 3 𝑥 f) 𝑦 = 6 𝑥 𝒅𝒚 𝒅𝒙 = 𝐧𝐚𝒙 𝒏−𝟏𝒚 = 𝐚𝒙 𝒏
  • 13. ◦ Commonly met functions in business  powers, exponential and natural logarithms. 𝒚 𝒅𝒚 𝒅𝒙 𝒚 = 𝐚𝒙 𝒏 𝒅𝒚 𝒅𝒙 = 𝐧𝐚𝒙 𝐧−𝟏 𝒚 = 𝐞 𝐚𝒙 𝒅𝒚 𝒅𝒙 = 𝐚𝐞 𝐚𝒙 𝒚 = 𝒍𝒏 𝒂𝒙 = 𝒍𝒐𝒈 𝐞 𝒙 𝒅𝒚 𝒅𝒙 = 𝟏 𝒙
  • 14. a) 𝑦 = 𝑒5𝑥 b) 𝑦 = 𝑒−4𝑥 a) 𝑑𝑦 𝑑𝑥 = 5𝑒5𝑥 b) 𝑑𝑦 𝑑𝑥 = −4𝑒−4𝑥 𝒅𝒚 𝒅𝒙 = 𝐚𝒆 𝒂𝒙𝒚 = 𝐞 𝐚𝒙 a) 𝑦 = 𝑙𝑛(5𝑥) b) 𝑦 = 𝑙𝑛 −4𝑥 a) 𝑑𝑦 𝑑𝑥 = 1 𝑥 b) 𝑑𝑦 𝑑𝑥 = 1 𝑥 𝒅𝒚 𝒅𝒙 = 𝟏 𝒙 𝒚 = 𝒍𝒏 𝒂𝒙
  • 15.  𝑑 𝑑𝑥 𝑎𝑓 𝑥 + 𝑏𝑔 𝑥 = 𝑎 𝑑𝑓 𝑑𝑥 + 𝑏 𝑑𝑔 𝑑𝑥 𝑦 = 4𝑥3 + 3𝑥 + 17 𝑑𝑦 𝑑𝑥 = 12𝑥2 + 3
  • 16.  𝑑 𝑑𝑥 𝑓 𝑥 𝑔 𝑥 = 𝑓 𝑥 𝑑𝑔 𝑑𝑥 + 𝑔 𝑥 𝑑𝑓 𝑑𝑥 𝑦 = 𝑥4e2𝑥 𝑑𝑦 𝑑𝑥 = 𝑥4 2e2𝑥 + e2𝑥 4𝑥3 = 2𝑥3 e2𝑥 𝑥 + 2 𝑓(𝑥) = 𝑥4 𝑔(𝑥) = e2𝑥 𝑑𝑓 𝑑𝑥 = 4𝑥3 𝑑𝑔 𝑑𝑥 = 2e2𝑥
  • 17.  𝑑 𝑑𝑥 𝑓 𝑔 𝑥 = 𝑑𝑓 𝑑𝑔 𝑑𝑔 𝑑𝑥 𝑦 = 7𝑥2 + 3 3 𝑑𝑓 𝑑𝑔 = 3𝑔2 𝑑𝑔 𝑑𝑥 = 14𝑥 𝑓 = 𝑔(𝑥) 3 𝑑𝑦 𝑑𝑥 = 42𝑥 7𝑥2 + 3 2 𝑔 𝑥 = 7𝑥2 + 3
  • 18.  𝑑 𝑑𝑥 𝑓 𝑥 𝑔 𝑥 = 𝑔 𝑥 𝑑𝑓 𝑑𝑥 −𝑓 𝑥 𝑑𝑔 𝑑𝑥 𝑔 𝑥 2 𝑦 = 𝑥 𝑥2 + 1 𝑑𝑔 𝑑𝑥 = 2𝑥 𝑑𝑓 𝑑𝑥 = 1 𝑔 𝑥 = 𝑥2 + 1 𝑑𝑦 𝑑𝑥 = 1 − 𝑥2 𝑥2 + 1 2 𝑓 𝑥 = 𝑥
  • 19.  𝑑 𝑑𝑥 𝑎𝑓 𝑥 + 𝑏𝑔 𝑥 = 𝑎 𝑑𝑓 𝑑𝑥 + 𝑏 𝑑𝑔 𝑑𝑥  𝑑 𝑑𝑥 𝑓 𝑥 𝑔 𝑥 = 𝑓 𝑥 𝑑𝑔 𝑑𝑥 + 𝑔 𝑥 𝑑𝑓 𝑑𝑥  𝑑 𝑑𝑥 𝑓 𝑔 𝑥 = 𝑑𝑓 𝑑𝑔 𝑑𝑔 𝑑𝑥  𝑑 𝑑𝑥 𝑓 𝑥 𝑔 𝑥 = 𝑔 𝑥 𝑑𝑓 𝑑𝑥 −𝑓 𝑥 𝑑𝑔 𝑑𝑥 𝑔 𝑥 2
  • 21. ◦ Economic order quantity1 𝑇𝐶 = 𝑑. 𝑝 + 𝐶ℎ 𝑞 2 + 𝐶 𝑜 𝑑 𝑞 1 Harris (1913), Wilson (1934) totalcost quantity 𝑑𝑇𝐶 𝑑𝑞 = 𝐶ℎ 2 − 𝐶 𝑜 𝑑 𝑞2 𝐶ℎ 2 − 𝐶 𝑜 𝑑 𝑞2 = 0 𝑞 = 2𝐶0 𝑑 𝐶ℎ
  • 22. By the end of this topic students will be able to: ◦ Find the derivative of variables raised to a power ◦ Use the rules of differentiation ◦ Relate differentiation to optimization  Obtain the economic order quantity formula
  • 23. ◦ Harris, FW. (1913). How many parts to make at once. Factory, the Magazine of Management 10(2), 135-136; reprinted in Operations Research 1990, 38(6), 947-950 ◦ Wilson, RH. (1934). A scientific routine for stock control, Harvard Business Review 13(1), 116-128.