Maximising Profit: Solving Linear Demand Functions

In summary, the conversation discusses finding the demand function and maximizing profit for a product with varying unit costs and selling prices. The demand function is determined to be p(x) = -.5x + 20 and the formula for profit is f(p) = Ap2 + Bp - 6Ap - 6B. The process for finding the optimal selling price is also mentioned.
  • #1
sand7000
1
0
I have been trying to figure this out all day. please help.

If the cost of one unit is $10, 20 units will be sold. If the cost is $11, 18 units will be sold. a) Find the demand function assuming it is linear.
b) If the materials for each unit cost $6 what should the selling price be to maximise profit?

I believe that the demand function is p(x)=-.5x+20 but I cannot figure out how to maximise profit. PLEASE HELP!
 
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  • #2
If d(p) is the demand as a function of the price, you know that:

d(p) = Ap + B

You need to find A and B. You have two pairs of values for d(p) and p, so use them to find A and B:

20 = 10A + B
18 = 11A + B

The function you posted does not seem correct.

The cost of all units would be 6*d(p). The return value would be d(p)*p. The profit is the difference:

f(p) = d(p)*p - 6*d(p)

Now replace d(p) with the actual function:

f(p) = (Ap + B)*p - 6*(Ap + B) = Ap2 + Bp - 6Ap - 6B

Find the derivative of f(p), see where it equals zero, etc etc. :smile:
 
  • #3


a) To find the demand function, we can use the two given points (10,20) and (11,18) and use the slope-intercept form of a linear function, y=mx+b, where m is the slope and b is the y-intercept.
First, we can find the slope, m, by using the formula (y2-y1)/(x2-x1), where (x1,y1) is one point and (x2,y2) is the other point. In this case, (x1,y1) = (10,20) and (x2,y2) = (11,18). So, m=(18-20)/(11-10)=-2/1=-2.
Next, we can plug in one of the points into the equation and solve for b. Let's use (10,20). So, 20=-2(10)+b. Solving for b, we get b=40.
Therefore, the demand function is p(x)=-2x+40.

b) To maximize profit, we need to find the selling price that will result in the highest revenue, which is the product of the selling price and the number of units sold. In this case, the selling price is p(x) and the number of units sold is x.
So, the revenue function is R(x)=xp(x)=-2x^2+40x.
To find the maximum revenue, we can use the vertex formula x=-b/2a, where a=-2 and b=40.
So, x=-40/(2(-2))=10.
Therefore, to maximize profit, the selling price should be p(10)=-2(10)+40=$20 per unit.
 

1. How do I calculate the maximum profit using a linear demand function?

To calculate the maximum profit, you will need to first find the slope and intercept of the linear demand function. Then, use the formula P = TR - TC, where P is profit, TR is total revenue, and TC is total cost. Plug in the slope and intercept values to find the quantity that will yield the maximum profit.

2. Can I use a linear demand function to maximize profit in any industry?

Yes, a linear demand function can be used to maximize profit in any industry as long as the demand curve is linear. However, keep in mind that other factors such as competition, costs, and market trends also impact profit.

3. What is the difference between maximizing revenue and maximizing profit using a linear demand function?

Maximizing revenue means finding the quantity that will generate the highest amount of revenue, while maximizing profit means finding the quantity that will generate the highest amount of profit. This may not always be the same quantity, as maximizing profit takes into account the costs associated with producing and selling the product.

4. Can I use a linear demand function to predict future profits?

Yes, a linear demand function can be used to predict future profits by inputting different quantities and calculating the corresponding profit. However, keep in mind that external factors such as changes in consumer preferences or market conditions can also impact future profits.

5. What are some limitations of using a linear demand function to maximize profit?

One limitation is that a linear demand function assumes a constant slope and intercept, which may not always hold true in real-world situations. Additionally, it does not take into account other factors such as competition and market trends that can impact profit. It is important to consider all relevant factors when using a linear demand function to maximize profit.

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