1 Maximizing pro ts when marginal costs are increasing



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BEE12 Basic Mathematical Economics Week 1, Lecture Tuesda 12.1. Pro t maimization 1 Maimizing pro ts when marginal costs are increasing We consider in this section a rm in a perfectl competitive market where man rms produce the same product. In such markets a single rm s impact on the market price is negligible and it acts as a price taker, i.e., it takes the market price P as a given ed quantit which it cannot in uence. Assuming increasing marginal costs we will show that the individual suppl curve 1 of such a rm is its marginal costs curve and that the individual suppl function is the inverse of the marginal cost function. The total revenue of a rm is the product market price times the quantit Q sold b the rm: T R (Q) = P (Q) Q The marginal revenue is the derivative of total revenue with respect to quantit, MR (Q) = dt R i.e., it is roughl the increase in total revenue when the rm produces a single (small) unit of output more. 8 4 2 1.2 2. 3.7 MC (Q) = dt C = 1Q + 2 A price taking rm will regard the price as a constant. Hence its marginal revenue is equal to the price: The price is ed b the market, so an additional unit sold increases the revenue b the price P. MR (Q) = dt R = P If there is no uncertaint a rm will produce eactl what it wants to sell. Let T C (Q) denote the total cost function of the rm, for instance T C (Q) = Q 2 + 2Q + 11: 1 More precisel, that part of the suppl curve where the rm produces a positive quantit.

This was the second eample in an earlier handout. The marginal cost function in this eample is increasing. The marginal cost curve and the marginal cost function are given in the gure on the previous page. Recall that if the producer is currentl producing the quantit Q, then it will cost him (roughl) the marginal costs MC (Q) to produce a single (small) unit more. Recall also how ou can read o this information from the graph: For a given quantit Q on the horizontal ais move upwards to the point on the graph. The height of this point is the marginal cost. The pro t function of the rm is in general (Q) = T R (Q) T C (Q) If the (absolute) pro t maimum Q is a critical point of the pro t function (we will check this later) it must satisf the rst order condition = (Q ) = MR (Q ) MC (Q ) so marginal revenue must equal marginal costs MR (Q ) = MC (Q ) In a perfectl competitive market this means that price must equal marginal costs. P = MC (Q ) (1) This is plausible: If the price were above the marginal costs, the producer could produce one unit more and thereb make a gain. If the price were below the marginal costs the producer could produce one unit less and thereb increase his pro ts. So, in optimum price must equal marginal costs. Notice how ou can use the marginal cost curve above to nd the pro t optimum: Starting with the market price P on the vertical ais we look to the right until we hit the marginal cost curve and below we can read o how much the rm would produce in optimum. Hence we have found the suppl curve of the rm: The graph tells us how much the rm would produce for an given price. However, Equation (1) gives us this information onl indirectl namel for a given price we must rst solve this equation for Q to nd the quantit supplied. The suppl function Q S (P ) which tells us for each given price how much the rm will produce is the inverse of the marginal cost function. B tradition one does not invert the graph but, in the case of demand- and suppl functions, one draws the independent variable P on the vertical ais and the dependent variable Q on horizontal ais. The marginal cost curve in our eample is MC (Q) = 1Q + 2: Price equals marginal costs means hence P = 1Q + 2 (2) whereb Q is the pro t-maimizing quantit. For instance, if the market price is P = 8 we obtain from equation (2) the unique solution Q =. This reasoning works for ever market price P. The equation that price must equal marginal costs has the unique solution Q S (P ) = Q = P 2 1 2 (3)

and this equation gives us the suppl function of the rm. The above arguments assumed that the pro t maimizing quantit is given b the rst order condition P = MC (Q ). Let us now discuss for an increasing marginal cost function when this is indeed the case. 1. Since marginal costs are increasing a horizontal line can intersect the marginal cost curve at most once. Hence, for an given price there can be at most one critical point. 2. The marginal cost curve is increasing and thence the derivative of the pro t function (Q) = P MC (Q) is decreasing. Recall that a function is strictl concave if and onl if its rst derivative is decreasing (where the latter is re ected b having almost everwhere a negative second derivative). Hence the pro t function is strictl concave. Therefore, if the rst order condition P = MC (Q ) has a solution Q it will be the unique critical point of the pro t function and it will be an absolute maimum of the pro t function. In the eample this happens, for instance, when P = 8. 8 2 1.2 2. 3.7 4-2 2 - -7 1.2 2. 3.7-1 P = 8 = MC (Q) Pro ts when P = 8 3. It is, however, possible that the rst order condition has no solution. This can happen in two was: (a) The market price is lower than the minimal marginal costs MC () at and hence lower than the marginal cost at an quantit. In this case the derivative of the pro t function (Q) = P MC (Q) is alwas negative, which means that pro t is alwas decreasing in quantit. Clearl, it is then optimal for the rm to produce zero output. In the above eample this happens when the price is below 2; for instance when P = 1: -2 2 4 8-1 -2 4-2 2-3 -3-2 2 4-4 P = 1 Pro ts when P = 1 3

Algebraicall Equation then has a negative solution and the pro t function has a single peak in the negative. It is then optimal for the rm to produce an output as close to this peak as possible, i.e., to produce zero. (b) It does not happen in most eamples, but a priori it is possible that the price is higher than the marginal costs could ever get. For this to happen the marginal cost curve would have to look like this: P 2 1 1 1.2 2. 3.7 MC (Q) = 1 1 Q+1 For prices above 1 the pro t function is alwas increasing. Because the price is alwas above the marginal costs it alwas pas to produce a unit more. The rm would like to suppl an in nite amount at such prices. Mathematicall, an absolute pro t maimum does not eist. Economicall, the assumption of a price-taking rm is no longer adequate at such prices. Firms cannot bring arbitraril large quantities to the market without having an impact on the price. 2 Maimizing pro ts when marginal costs are constant For a price taking rm one gets similarl etreme results as in the Case b) just discussed when the marginal costs are constant. For instance, in the rst eample of the earlier handout the total cost function was T C (Q) = 9 + 2Q: The marginal costs curve is constant at height 2. The pro t function is linear in Q MC (Q) = 2 (Q) = T R (Q) T C (Q) = P Q 9 2Q = (P 2) Q 9 1.2 2. 3.7 1 1.2 2. 3.7-2 1-2 - - -7 1.2 2. 3.7-7 -1 - -1-12 -1-12 -1 Pro ts when P = 1-1 Pro ts when P = 2-1 Pro ts when P = 3 4

When the price is below the marginal costs, the pro t function is decreasing and it is optimal to produce zero output. When the price is above the marginal costs, the pro t function is increasing and it is optimal to produce an in nite amount. When the price is eactl equal to the marginal costs, the pro t function is at and an output is pro t maimizing. One obtains the etreme case of a horizontal suppl curve. A suppl function does not eist. One speaks of an in nitel elastic suppl curve. If all rms in the market have the same costs, the onl equilibrium price would be P = 2. Because of the ed costs all rms would make losses and would have to eit in the long run. 3 Monopol One gets less etreme results with constant marginal costs for models of imperfect competition. For instance, a monopolist (no competition) will take full account of the fact that the quantit he sells has an e ect on the market price. Suppose that he has the cost function T C (Q) = 9 + 2Q while he faces the demand function Q = Q D (P ) = 1:4 1 P which tells us the quantit demanded at ever given price. Solving for P we obtain the inverse demand function Q = 1:4 Q = 2 P P + Q = 2 1 P P = 2 Q P = P (Q) = 2 Q which tells us the price the monopolist can achieve when he brings the quantit Q to the market. The total revenue is now T R (Q) = P (Q) Q = (2 Q) Q = 2Q Q 2 and his marginal revenue is no longer simpl the price MR (Q) = dt R = 2 1Q Equating marginal costs with marginal revenue gives 2 1Q = MR (Q) = MC (Q) = 2 = 1Q Q =

i.e., it is optimal for him to produce units. One can verif that this quantit actuall maimizes pro ts and that the monopolist can make positive pro ts. 2 1 1 7 1 2 1.2 2. 3.7 Monopol pro ts 1.2 2. 3.7 Marginal revenue and costs In the gure on the right the pro t-maimizing quantit is obtained as the intersection of the downward sloping marginal revenue curve and the horizontal marginal cost curve. 4 U-shaped average variable costs The third eample of a total cost function discussed in the rst handout, week, was T C (Q) = 2Q 3 18Q 2 + Q + We want to know which quantit a pro t-maimizing rm with this cost function should produce when the market is perfectl competitive and the given market price is P. It turns out that the answer to this question depends on the average variable costs (AVC) and the marginal costs (MC). Hence, we must rst discuss how the average variable costs curve looks and how it relates to the marginal costs curve. In our eample, the ed costs are F C = and the variable costs are hence V C (Q) = 2Q 3 18Q 2 + Q: Average costs are generall costs per item produced, so the average variable cost function is in our eample 37. 2 12. 1.2 2. 3.7 AV C (Q) = V C(Q) Q = 2Q 2 18Q + : As the graph indicates, the AVC curve is U-shaped, i.e., it is strictl conve and has a unique absolute minimum at Q Min = 4:. The minimum average variable costs are calculated as AV C Min = AV C (4:) = 19:

To see algebraicall that the AVC curve is indeed U-shaped with the describe properties we a) di erentiate AV C (Q) = 4Q 18; b) solve the rst order condition AV C (Q) = 4Q 18 = or Q = 18 4 = 4:; c) observe that there is a unique solution at 4:; d) di erentiate again AV C (Q) = 4 > and observe hence that our function is indeed strictl conve. In particular, Q Min = 4: is the absolute minimum. Recall that the marginal costs are the derivative of the total or variable costs (the latter two di er onl b a constant term). The are and are also U-shaped. MC (Q) = dt C = dv C = Q2 3Q + The relation between AVC, MC and suppl Whenever the AVC curve is U-shaped, i.e., strictl conve with a unique absolute minimum, the following applies: 1) The AVC curve and the MC curve intersect in two points, once on the vertical ais and one in the minimum of the AVC curve. 2) In the downward-sloping part of the AVC curve the MC curve is below the AVC curve, in the upward-sloping part it is above. 3) Above the AVC curve marginal costs are strictl increasing. The following picture illustrates these facts in our eample: 1 MC 8 4 2 AVC 1 2 3 4 7 Q Moreover, 4) The individual suppl curve is given b the part of the MC curve above the AVC curve. More precisel: A) When the price is below the minimum average variable costs, it is optimal for the rm not to produce an output. 7

B) When the price is above the minimum average variable costs, it is optimal for the rm to produce a positive amount of output. Namel, it is optimal to produce the largest quantit for which the price equals the marginal costs. C) When the price is eactl equal to the minimum average variable costs, two quantities are optimal to produce, namel zero and the quantit which minimizes AVC. or Applied to our eample this means the following: At prices below 19. it is optimal to produce zero. When the price is eactl 19., both Q = and Q = 4: are optimal. When the price is, for instance, P = 3 we must rst solve the equation P = MC (Q) 3 = Q 2 3Q + = Q 2 3Q + 3 = Q 2 Q + = (Q 1) (Q 2) Here both Q = 1 and Q = solve this equation. The larger of the two, Q =, is the pro t maimizing quantit. Using the general formula to solve quadratic equations one can obtain the suppl function eplicitl as follows: P = Q 2 3Q + = Q 2 3Q + P = Q 2 P Q + 1 q P 3 4 1 Q 1=2 = 2 r = 3 9 1 + P = 3 s 3 4 1 P 4 and, b taking the larger root, one obtains the suppl function valid for prices above 19:. Q S = 3 + r P 1 Remark 1 It holds as well that the average total cost curve intersects the marginal cost curve in its minimum..1 Sketch of the argument Read this section onl if ou like math! Finall we indicate wh the four facts stated above hold. For a more verbal presentation see Begg, Economics. Variable costs are, b de nition, the product of quantit and average variable costs: V C (Q) = Q AV C (Q) 8

We can di erentiate this equation using the product rule and obtain MC (Q) = AV C (Q) + Q dav C From this equation we see that marginal costs are equal to average variable costs at the minimum of the AVC curve (since there dav C = ), the are below the AVC curve when the latter is downward-sloped ( dav C < ) and above when the latter is upward sloped ( dav C > ).2 Di erentiating again gives dmc = dav C + dav C + Qd2 AV C 2 = 2 dav C + Qd2 AV C 2. In the upward- > and get overall dmc >, i.e., the We have Q > and, since the AV C curve is strictl conve, d2 AV C 2 sloping part of the AVC curve we have dav C marginal cost curve is increasing above the AVC curve. To see that the AVC curve and the MC curve meet on the vertical ais one has to know the de nition of the derivative as a limit of di erence quotient (or rates of change ). Actuall, AV C (Q) = V C(Q) V C(Q) V C() is a di erence quotient at zero and therefore Q Q = MC () = dv C V C (Q) V C () () = lim Q! Q = lim Q! AV C (Q) : (AV C () is, of course, not de ned.) We have shown the statements 1-3 above. Concerning statement 4 I skip the ver technical argument wh an absolute pro t maimum alwas eists when the AVC curve is U-shaped. (Essentiall one can show that the pro t function must be decreasing for ver large quantities.) Assuming it eists, it can either be at Q = or it can be at a positive quantit. In the latter case it must be a peak and hence the rst order condition P = MC (Q) must be satis ed. It follows that the part of a suppl curve where a strictl positive quantit is produced must be a part of the marginal cost curve. When zero output is produced, onl the ed costs are to be paid: () = F C. For Q > we can rewrite the pro t function as follows: (Q) = P Q V C (Q) F C = P Q Q AV C (Q) F C = Q (P AV C (Q)) F C For prices below the minimum average variable costs P AV C (Q) is negative for all quantities Q >. Therefore (Q) < F C = () and it it is optimal to produce zero. In words: one loses on average more on variable costs per item produced than one gains in revenues and hence it is better to produce nothing. (The ed costs must be paid anwa.) dav C 2 The AVC curve cannot have saddle points since it is assumed to be strictl conve. This rules out = ecept for the minimum.. 9

For prices P > AV C Min onl the largest solution to the equation P = MC (Q) gives a point on the MC curve which is above the AVC curve. For this solution P = MC (Q) > AV C (Q) is satis ed and hence (Q) > (). For all other solutions (Q) < (). Hence this solution is the onl candidate for the pro t maimum. Since we assumed one, this must be it. When P = AV C Min one has P = MC Q Min = AV C Q Min. Hence () = Q Min. All other critical points of the pro t function can be ruled out, so these two quantities must be optimal. 1