Theorems of anaysis  
 
  inverse function  
 
  geometric derivative  
 
  decay phenomena  
 
  Constants  
 
  Units   
 
  home  
 
  ask us  
 


Calculus I









© The scientific sentence. 2010

Calculus I: Derivative
Marginal analysis





1. Marginal analysis


It is about some applications of derivatives in the business world.

Marginal analysis is used to estimate the amount of the change in a function from the next item.

This function is either cost , revenue or profit.



2. Marginal of a function

Marginal of a function is the derivative of this function; that is the rate of increasing or decreasing of the related production:

Marginal function of f(x) = f'(x)

The exact or actual function is the difference between the function of the (x + 1)th item and the xth item: :

Exact function is Δf(x) = f(x + 1) - f(x)

Using the definition of the derivative:

lim f(x + h) - f(x)/h = f'(x),
h → 0

an approximation, with h ≈ 1, of this marginal cost gives:

f'(x) = df(x)/dx ≈ f(x + 1) - f(x)/1 = f(x + 1) - f(x) = Δf(x)

The marginal value of f(x) for the (x + 1)th
unit is f'(x).

The actual value of f(x) for the (x + 1)th
unit is f(x + 1) - f(x)



3. Formulas

• Marginal function = f'(x)

• Exact or actual function is Δf(x) = f(x + 1) - f(x)

• Total function = variable function + fixed value

• Average function = f(x)/x

This function is either cost , revenue or profit.



• x is the number of items quantity

• Total cost = variable cost + fixed cost

The demand function p(x) is the unit price
function.
It might depend on x.

The revenue function R(x), that is how much money is made by selling x items, is:

R(x) = x . p(x)

• For x items produced and sold , we always have:

Profit(x) = Revenue(x) - Cost (x)

• The break-even points are the intersection points where total revenue equals total cost.

There are always somme fixed costs, such as the rent of factory, pay people, even if we produce nothing.



3. Marginal analysis formulas






4. Example


A compagny produces items to sell and make profit.

The company has a fixed cost of $4000 and a variable cost given by:

Cv(x) = 0.3 x2 + 50 x

• The total cost function is:

C(x) = Cv(x) + 4000 = 0.2 x2 + 50 x + 4000

C(x) = Cv(x) + 4000 = 0.2 x2 + 50 x + 4000

• The marginal cost when x = 500 is C'(x = 500)

We have

C'(x) = 0.4 x + 50

So C'(x = 500) = 0.4 (500) + 50 = 250 $

This marginal cost is an estimate of the cost of producing the 501st item.

The demand function p(x), that is the unit price function is given by

x = - 500 + 5 p(x)

From this expression we obtain:

p(x) = 0.2 x + 100

p(x) = 0.2 x + 100

So the revenue function is :

R(x) = x . p(x) = 0.2 x2 + 100 x

R(x) = x . p(x) = 0.2 x2 + 100 x

Therefore the profit is expressed as:

P(x) = R(x) - C(x) = (0.2 x2 + 100 x) - (0.2 x2 + 50 x + 4000 ) =
0.2 x2 + 100 x - 0.2 x2 - 50 x - 4000 = 50 x - 4000

P(x)= 50 x - 4000

So P'(x) = 50

• An estimate of the amount of profit from the 301st item (the change in profit as we go from 300 items to 301 items) is given by:

P'(300) = 50 which is constant.

• The exact change in profit is given by

P(301) - P(300) = (50 (301) - 4000) - (50 (300) - 4000) =
50 (301) - 50 (300) = 50 . 1 = 50

• The average cost function.

C(x) is the cost function for some item then the average cost function is

(x) = C(x)/x = (0.2 x2 + 50 x + 4000 )/x = 0.2 x + 50 + 4000/x

(x) = 0.2 x + 50 + 4000/x








  


chimie labs
|
Physics and Measurements
|
Probability & Statistics
|
Combinatorics - Probability
|
Chimie
|
Optics
|
contact
|


© Scientificsentence 2010. All rights reserved.