Application of Derivatives to Economics-sec1-Pres

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Application of derivatives to Business and economics

description

Derivatives and optimization techniques

Transcript of Application of Derivatives to Economics-sec1-Pres

Page 1: Application of Derivatives to Economics-sec1-Pres

Application of derivatives to Business and economics

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Presentation content:

• Introduction to Application of derivatives and it’s importance in the Business field

• The demand function

• The cost function

• The revenue function

• The profit function

• Examples

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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

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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

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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?

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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

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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)= -1/500x+70+20

- = 1/500x+90

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• 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) = (10*200,000) * 200,000

• C(x) = 40,000,000,000 QR

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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)

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Example

• The demand equation of a certain product is p=6-1/2x dollars.

• Find the revenue:

R(x)= x.p

=x(6-1/2x)

=6x-1/2x2

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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)

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Notice that: A maximum profit is reached when:1. the first derivative of P(x) when P‘(x) is zero or doesn’t

exist And2. The second derivative of P(x) is always negative P″(x)<0

*when P‘(x)=0 this is the critical point, and since P″(x)<0 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)<0

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Example

• A factory that produces i-pods computed its demand, and costs and came to realize that the formulas are as follows:

• p=100-0.01x

• C(x)=50x+10000

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Find:The number of units that should be produced for the factory to obtain maximum profit.

The price of the unit.

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R(x)=x.p

=x.(100-0.01)

=100x -0.01x2

Now:

P(x)=R(x)-C(x)

=100x-0.01x2 –(50x+10000)

=-0.01x2 + 50x-10000

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Now the maximum point in the parabola will occur When P'(x)=0 ; P"(x)<0

P(x) =-0.01x2 + 50x-10000P'(x)=-0.02x+50 → -0.02x+50=0 → -0.02x=-50 → x=2500P'(2500)= -50+50=0So the P'(X)=0 When x=2500- Now we will find the second derivative:P″(x)= -0.02P″(2500)= -0.02<0So x=2500 is at a local maximum

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Graph

500 1000 1500 2000 2500 3000 3500 4000 4500-500

x10000

20000

30000

40000

50000

60000

70000

80000

y

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Finally to find the price that is needed to be charged per unit we return to the demand function:

P=100-0.01(2500)

= 100-25= $75

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Thank you