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Application of derivatives to Business and economics

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Title: Application of derivatives to Business and economics


1
Application of derivatives to Business and
economics
  • Presented by
  • Amal Al-Kuwari
  • Bashayer
  • Noof
  • Hind Nader

2
Presentation content
  • Introduction to Application of derivatives and
    its importance in the Business field
  • The demand function
  • The cost function
  • The revenue function
  • The profit function
  • Examples

3
The demand function
  • The demand function is the function that relates
    the price p(x) of a specific unit of a product to
    the number of units x produced.
  • p(x) is also called the demand function.
  • p(x) p x

4
The cost Function
  • The cost function is the function that relates
    the total cost C(x) of producing an x number of
    units of a product to that number x
  • C(x) p(x) x

5
A general Example
  • A football match takes place in a stadium that
    can take 60,000 people. At first the tickets cost
    QR30 , it was expected that around 30,000 people
    would come , then when the tickets value were
    lowered to QR20 the audience attendance was
    expected to rise to 5000.
  • Find the demand function assuming that this is a
    linear Function?

6
Solution
  • First we find the equation of the straight line
    through the following points
  • (30000,30) ,(35000,20)
  • Secondly we find the slope
  • m (20-30)/(35,000 - 30,000)
  • -10/5000
  • -1/500

7
  • So the equation of this line is
  • P(x) - 20 (-1/500).(x - 35,000)
  • P(x)-1/500.(x - 35,000)20
  • So the demand function is
  • P(x) -1/500x7020
  • -1/500x90

8
  • Total cost example-
  • If BMW company wants to produce 10 cars and each
    car cost 200,000 QR, find total cost gain from
    selling this amount of cars-
  • The solution-
  • C(x) P(x) x
  • C(x) (10200,000) 200,000
  • C(x) 40,000,000,000 QR

9
The revenue function
  • The revenue function which represented in R(x) is
    simply the product of the number of units
    produced x by the price p(x) of the unit.
  • So the formula is
  • R(x)x . p(x)

10
Example
  • The demand equation of a certain product is
    p6-1/2x dollars.
  • Find the revenue
  • R(x) x.p
  • x(6-1/2x)
  • 6x-1/2x2

11
The Profit Function
  • The profit function is nothing but the revenue
    function minus the cost function
  • So the formula is
  • P(x) R(x)-C(x)
  • ?x.p(x)-C(x)

12
  • Notice that
  • A maximum profit is reached when
  • the first derivative of P(x) when P(x) is zero
    or doesnt exist
  • And
  • 2. The second derivative of P(x) is always
    negative P?(x)lt0
  • when P(x)0 this is the critical point, and
    since P?(x)lt0 the parabola will be concave
    downward
  • Another important notice is
  • Since P(x) R(x)- C(x)
  • Then a maximum profit can be reached when
  • R'(x)-C'(x)0 and R? (x)-C?(x)lt0

13
Example
  • A factory that produces i-pods computed its
    demand, and costs and came to realize that the
    formulas are as follows
  • p100-0.01x
  • C(x)50x10000

14
  • Find
  • The number of units that should be produced for
    the factory to obtain maximum profit.
  • The price of the unit.

15
  • R(x)x.p
  • x.(100-0.01)
  • 100x -0.01x2
  • Now
  • P(x)R(x)-C(x)
  • 100x-0.01x2 (50x10000)
  • -0.01x2 50x-10000

16
  • Now the maximum point in the parabola will occur
    When P'(x)0 P"(x)lt0
  • P(x) -0.01x2 50x-10000
  • P'(x)-0.02x50
  • ? -0.02x500
  • ? -0.02x-50
  • ? x2500
  • P'(2500) -50500
  • So the P'(X)0 When x2500
  • - Now we will find the second derivative
  • P?(x) -0.02
  • P?(2500) -0.02lt0
  • So x2500 is at a local maximum

17
Graph
18
  • Finally to find the price that is needed to be
    charged per unit we return to the demand
    function
  • P100-0.01(2500)
  • 100-25 75

19
  • Thank
  • you
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