The total variable cost, TVC, and total fixed cost, TFC, functions for a good are given as
TVC = \frac{Q³}{2} − 15Q² + 175Q, TFC = 1000
(TC = TVC + TFC. This is the same TC function as in Worked Example 6.32.)
(a) Write down the equations for:
(i) Total costs, TC.
(ii) Average costs, AC.
(iii) Average variable cost, AVC.
(iv) Average fixed cost, AFC.
(v) Marginal cost, MC.
(b) Find the values of Q for which MC, AVC, AFC and AC are minimised and sketch the graphs of these functions.
(c) Show that the MC curve passes through the minimum points of the AC and AVC curves. (That is, MC = AVC when AVC is at a minimum and MC = AC when AC is at a minimum.)
(a)
T\mathrm{C}=T V\mathrm{C}+T F\mathrm{C}={\frac{Q^{3}}{2}}-15{Q}^{2}+175{ Q}+1000AC=\frac{TC}{Q}=\frac{\displaystyle\frac{\displaystyle\mathrm{Q}^{3}}{2}-15{Q}^{2}+175{Q}+1000}{Q} =\frac{Q^{2}}{2} – 15Q + 175 + \frac{1000}{Q}
AVC = \frac {TVC}{Q} = \frac {\frac {Q³}{2}− 15Q² + 175Q }{Q} = \frac {Q²}{2} − 15Q + 175
AFC = \frac {TFC}{Q} = \frac {1000}{Q}
MC = \frac {d(TC)}{dQ} = \frac {3Q²}{2} − 30Q + 175 or MC = \frac {d(TVC)}{dQ} = \frac {3Q²}{2} − 30Q + 175
Notice that AC = AVC + AFC.
(b) The turning points for MC, AVC, AFC and AC are now calculated.
MC = \frac {3Q²}{2} − 30Q + 175
Step 1: Find first and second derivatives
\frac {d(MC)}{dQ} = \frac {3(2Q)}{2} − 30(1) = 3Q − 30
\frac {d²(MC)}{dQ²} = 3
Step 2: Find turning points by solving first derivative = 0.
3Q − 30 = 0 → Q = 10
Step 2a: When Q = 10, MC = 25
Step 3: Confirm the minimum.
The second derivative is a positive constant, so the only turning point is a minimum.
AVC = \frac {Q²}{2} − 15Q + 175
Step 1: Find first and second derivatives
\frac {d(AVC)}{dQ} = \frac {(2Q)}{2} − 15(1) = Q − 15
\frac {d²(AVC)}{dQ²} = 1
Step 2: Find turning points by solving first derivative = 0.
Q − 15 = 0 → Q = 15
Step 2a: When Q = 15, AVC = 62.5
Step 3: Confirm the minimum.
The second derivative is a positive constant, so the only turning point is a minimum.
The graphs of the AVC and MC functions are plotted in Figure 6.38(b) from the points in columns (1), (6) and (8) of Table 6.18.
Step 1: Get derivatives:
AFC = 1000Q^{−1}
\frac {d(AFC)}{dQ} = 1000(−Q^{−2}) = −1000Q^{−2} =- \frac {1000}{Q²}
\frac {d^2(AFC)}{d^2Q} = – 1000(−2Q^{−3}) = 2000Q^{−3} =- \frac {3000}{Q³}
Step 2: At a minimum, the first derivative is zero. Solve this equation for Q:
– \frac {1000}{Q²} =0 → −1000 = 0(Q²) = 0
This statement, −1000 = 0, is a contradiction, therefore no solution. To put it another way, there is no value of Q² which can be multiplied by 0 to give −1000. Therefore, since we cannot find a value of Q for which slope is zero, there is no turning point.
Curvature: Slope
\frac {d(AFC)}{dQ} = – \frac {1000}{Q²}
is negative for all values of Q, therefore this is a decreasing curve. The second derivative,
\frac {d^2(AFC)}{dQ^2} = \frac {2000}{Q³}
is positive for all values of Q > 0, therefore the curvature is concave up or convex towards the origin.
AC = 0.5Q² − 15Q + 175 + 1000Q^{−1}
\frac {d(AC)}{dQ} = 0.5(2Q) − 15(1) + 1000(−Q^{−2}) = Q − 15 − 1000Q^{−2}
At the minimum AC, the first derivative is zero,
Q − 15 + \frac {1000}{Q²} = 0
\frac {Q}{1} – \frac {15}{1} + \frac {1000}{Q²} =0
\frac {Q³ – 15Q² + 1000}{Q²} =0
Q³ − 15Q² + 1000 = 0 multiplying both sides by Q²
The solution to cubic equations is beyond the scope of this text, unless it is possible to factor the cubic function, thereby reducing the problem to the product of linear and quadratic functions. However, you are expected to be resourceful, so when all else fails, sketch the graph by plotting the points from columns (1) and (7) in Table 6.18, and estimate from the graph that minimum AC is approximately at Q = 18.1 and AC = 123. In this case, it is quite safe to plot points, since polynomials, like this one, have no infinite jumps, etc. The AC function is plotted in Figure 6.38(b).
Since the minima for the MC and AVC are at Q = 10 and Q = 15, respectively, sketch the graphs from Q = 0 to Q = 30 to get a reasonable picture of the main points of all curves. Use Excel, if available, to calculate the tables of points and plot the graphs.
(c) From Figure 6.38(b), we can deduce the following:
MC = 1.5Q² − 30Q + 175
= 1.5(15)² − 30(15) + 175
= 337.5 − 450 + 175 = 62.5
So both curves pass through the point Q = 15, MC = AVC = 62.5. This confirms that
MC = AVC at minimum AVC.
MC = 1.5Q² − 30Q + 175
= 1.5(18.1)² − 30(18.1) + 175
= 491 − 543 + 175 = 123
This confirms that MC = AC when AC is a minimum. To summarise:
When AC is at a minimum, MC = AC.
When AC is falling, MC < AC; when AC is rising, MC > AC.
When AVC is at a minimum, MC = AVC.
Minimum MC < Minimum AVC < Minimum AC.
Table 6.18 Points for plotting the total, average and marginal cost functions | |||||||
(1)
Q |
(2)
TFC |
(3)
TVC |
(4)
TC |
(5)
AFC |
(6)
AVC |
(7)
AC |
(8)
MC |
0 | 1000 | 0 | 1000 | – | – | – | – |
3 | 1000 | 403.5 | 1403.5 | 333.33 | 134.5 | 467.83 | 98.5 |
6 | 1000 | 618 | 1618 | 166.66 | 103 | 269.66 | 49 |
9 | 1000 | 724.5 | 1724.5 | 111.11 | 80.5 | 191.61 | 26.5 |
10 | 1000 | 750 | 1750 | 100 | 75 | 175 | 25 |
12 | 1000 | 804 | 1804 | 83.33 | 67 | 150.33 | 31 |
15 | 1000 | 937.5 | 1937.5 | 66.66 | 62.5 | 129.16 | 62.5 |
18 | 1000 | 1206 | 2206 | 55.55 | 67 | 122.55 | 121 |
18.1 | 1000 | 1218.22 | 2218.22 | 55.24 | 67.3 | 122.54 | 123.41 |
21 | 1000 | 1690.5 | 2690.5 | 47.61 | 80.5 | 128.11 | 206.5 |
24 | 1000 | 2472 | 3472 | 41.66 | 103 | 144.66 | 319 |
27 | 1000 | 3631.5 | 4631.5 | 37.03 | 134.5 | 171.53 | 458.5 |
30 | 1000 | 5250 | 6250 | 33.33 | 175 | 208.33 | 625 |