Examples and exercises on short-run profit maximization
Procedure
- Find the minimum of the AVC.
- Find the SMC.
- For p less than this minimum of the AVC the firm produces 0. For p at least equal to this minimum the firm produces y such that p = SMC(y); to get the formula for the supply curve you need to isolate y in this equation.
Example: a production function with fixed proportions
Consider the fixed proportions production function F (z1, z2) = min{z1, z2}. Suppose that z2 = k in the short run. What is the firm's
short run supply function?
The short run cost function is
STCk(y) = | w1y + w2k | if y k |
| | if y > k. |
Hence
AVCk = SMCk(y) = | w1 | if y k |
| | if y > k. |
Thus the minimum of the AVC is w1, and we get the short run supply function
0 | if p < w1 |
all outputs from 0 to k | if p = w1 |
k | if p > w1. |
This function is shown in the following figure.
Suppose that VC(y) = y2 + 20y. What is the firm's short run supply function?
- We have AVC(y) = y + 20, so the minimum of the AVC is 20 (attained at the output 0).
- SMC(y) = 2y + 20.
- Thus for p < 20 the firm produces 0; for p 20 it produces y such that SMC(y) = p, or p = 2y + 20, or y = (1/2)p 10.
Thus the firm's short run supply function is
0 | if p < 20 |
(1/2)p 10 | if p 20. |
This function is shown in the following figure.
Example
Suppose that VC(y) = y3 60y2 + 1200y. What is the firm's short run supply function?
- We have AVC(y) = y2 60y + 1200. The derivative is 2y 60, so the minimum of AVC occurs at y = 30. (You can check that this is in fact a minimizer, not a maximizer.) The minimum value of the AVC is thus (30)2
(60)(30) + 1200 = 300.
- SMC(y) = 3y2 120y + 1200.
- Thus if p 300 the firm's short run supply is 0. If p 300 then the firm's short run supply function satisfies p = SMC(y) = 3y2 120y + 1200 =
3[y2 40y + 400] = 3(y 20)2. Isolating y we get y = 20 + (p/3).
In summary, the firm's short run supply function is
0 | if p < 300 |
0 or 30 | if p = 300 |
20 + (p/3) | if p > 300 |
This function is shown in the following figure.
Copyright © 1997 by Martin J. Osborne