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John's Lawn Mowing Service is a small business that acts as a price-taker (i.e., \(M R=P\) ). The prevailing market price of lawn mowing is \(\$ 20\) per acre. John's costs are given by total cost \(=0.1 q^{2}+10 q+50\) where \(q=\) the number of acres John chooses to cut a day. a. How many acres should John choose to cut to maximize profit? b. Calculate John's maximum daily profit. c. Graph these results, and label John's supply curve.

Short Answer

Expert verified
Based on the given information: 1. John's revenue function is \(R(q) = 20q\). 2. His profit function is \(\pi(q) = 20q - (0.1q^2 + 10q + 50)\). 3. The first derivative of the profit function with respect to \(q\) is \(\frac{d\pi}{dq} = 10 - 0.2q\). 4. By setting the first derivative to zero, we find that John should choose to cut 50 acres per day to maximize his profit. 5. John's maximum daily profit is \(\$200\). 6. To graph the results, plot the revenue, cost, and profit functions, as well as John's supply curve derived from the marginal cost curve. The intersection points and maximum points help determine the break-even point and optimal production choice. In conclusion, John should cut 50 acres per day to maximize his daily profit of \$200. To represent this graphically, plot the revenue, cost, and profit functions along with the derived supply curve from the marginal cost curve.

Step by step solution

01

Determine the Revenue Function

First, we will determine John's revenue function. Since he is a price taker, the prevailing market price is \(P = \$20\). His revenue function is the price per acre multiplied by the number of acres he chooses to cut: \(R(q) = P \cdot q = 20q\)
02

Determine the Profit Function

Next, we will write down John's profit function which is the difference between his revenue and total cost. We are given the total cost function as \(C(q) = 0.1q^2 + 10q + 50\). So, the profit function will be: \(\pi(q) = R(q) - C(q) = 20q - (0.1q^2 + 10q + 50)\)
03

Find the First Derivative of the Profit Function

Now we need to find the first derivative of the profit function with respect to \(q\) to determine the optimal number of acres: \(\frac{d\pi}{dq} = \frac{d(20q - 0.1q^2 - 10q - 50)}{dq}\) Using calculus: \(\frac{d\pi}{dq} = 20 - 0.2q - 10\) Simplify further: \(\frac{d\pi}{dq} = 10 - 0.2q\)
04

Set the First Derivative to Zero and Solve for q

To find the optimal number of acres to maximize profit, set the first derivative to zero: \(10 - 0.2q = 0\) Now, solve for \(q\): \(q = \frac{10}{0.2} = 50\) Therefore, John should choose to cut 50 acres per day to maximize his profit.
05

Calculate John's Maximum Daily Profit

Now that we know the optimal number of acres, we will use it to calculate the maximum daily profit. Substitute the value of \(q\) in the profit function: \(\pi(50) = 20(50) - (0.1(50^2) + 10(50) + 50)\) \(\pi(50) = 1000 - (250 + 500 + 50)\) \(\pi(50) = 1000 - 800\) \(\pi(50) = 200\) Thus, John's maximum daily profit is \(\$200\).
06

Graphing the Results and John's Supply Curve

First, plot the revenue function \(R = 20q\) and the cost function \(C(q) = 0.1q^2 + 10q + 50\) on the same graph. The intersection point between these functions corresponds to the break-even point. Next, plot the profit function \(\pi(q) = 20q - (0.1q^2 + 10q + 50)\), its maximum point represents John's optimal production choice, which is 50 acres. To represent John's supply curve, plot the portion of the marginal cost curve, \(\frac{dC}{dq} = 0.2q + 10\), that lies above the minimum average variable cost. The supply curve is the portion of the marginal cost curve that producers are willing to supply at that price.

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Most popular questions from this chapter

Suppose that a firm's production function exhibits technical improvements over time and that the form of the function is \(q=f(k, l, t) .\) In this case, we can measure the proportional rate of technical change as \\[ \frac{\partial \ln q}{\partial t}=\frac{f_{t}}{f} \\] (compare this with the treatment in Chapter 9 ). Show that this rate of change can also be measured using the profit function as \\[ \frac{\partial \ln q}{\partial t}=\frac{\Pi(P, v, w, t)}{P q} \cdot \frac{\partial \ln \Pi}{\partial t} \\] That is, rather than using the production function directly, technical change can be measured by knowing the share of profits in total revenue and the proportionate change in profits over time (holding all prices constant). This approach to measuring technical change may be preferable when data on actual input levels do not exist.

The demand for any input depends ultimately on the demand for the goods that input produces. This can be shown most explicitly by deriving an entire industry's demand for inputs. To do so, we assume that an industry produces a homogencous good, \(Q,\) under constant returns to scale using only capital and labor. The demand function for \(Q\) is given by \(Q=D(P)\), where \(P\) is the market price of the good being produced. Because of the constant returns-to- scale assumption, \(P=M C=A C\). Throughout this problem let \(C(v, w, 1)\) be the firm's unit cost function. a. Explain why the total industry demands for capital and labor are given by \(K=Q C_{v}\) and \(L=Q C_{w}\) b. Show that \\[ \frac{\partial K}{\partial v}=Q C_{v v}+D^{\prime} C_{v}^{2} \quad \text { and } \quad \frac{\partial L}{\partial w}=Q C_{w w}+D^{\prime} C_{w}^{2} \\] c. Prove that \\[ C_{w v}=\frac{-w}{v} C_{v w} \quad \text { and } \quad C_{w w}=\frac{-v}{w} C_{N w} \\] d. Use the results from parts (b) and (c) together with the elasticity of substitution defined as \(\sigma=C C_{v n} / C_{\nu} C_{w}\) to show that \\[ \frac{\partial K}{\partial v}=\frac{w L}{Q} \cdot \frac{\sigma K}{v C}+\frac{D^{\prime} K^{2}}{Q^{2}} \text { and } \frac{\partial L}{\partial w}=\frac{v K}{Q} \cdot \frac{\sigma L}{w C}+\frac{D^{\prime} L^{2}}{Q^{2}} \\] e. Convert the derivatives in part (d) into elasticities to show that \\[ e_{K, v}=-s_{L} \sigma+s_{K} e_{Q, p} \quad \text { and } \quad e_{L, w}=-s_{K} \sigma+s_{L} e_{Q, P} \\] where \(e_{Q, P}\) is the price elasticity of demand for the product being produced. f. Discuss the importance of the results in part (e) using the notions of substitution and output effects from Chapter 11 Note: The notion that the elasticity of the derived demand for an input depends on the price elasticity of demand for the output being produced was first suggested by Alfred Marshall. The proof given here follows that in D. Hamermesh, Labor Demand (Princeton, NJ: Princeton University Press, 1993).

With a CES production function of the form \(q=\left(k^{\rho}+l^{\rho}\right)^{\gamma / \rho}\) a whole lot of algebra is needed to compute the profit function as \(\Pi(P, v, w)=K P^{1 /(1-\gamma)}\left(v^{1-\alpha}+w^{1-\sigma}\right)^{\gamma /(1-\sigma)(\gamma-1)},\) where \(\sigma=1 /(1-\rho)\) and \(K\) is a constant a. If you are a glutton for punishment (or if your instructor is), prove that the profit function takes this form. Perhaps the easiest way to do so is to start from the CES cost function in Example 10.2 b. Explain why this profit function provides a reasonable representation of a firm's behavior only for \(0<\gamma<1\) c. Explain the role of the elasticity of substitution ( \(\sigma\) ) in this profit function. What is the supply function in this case? How does \(\sigma\) determine the extent to which that function shifts when input prices change? e. Derive the input demand functions in this case. How are these functions affected by the size of \(\sigma ?\)

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How would you expect an increase in output price, \(P\), to affect the demand for capital and labor inputs? a. Explain graphically why, if neither input is inferior, it seems clear that a rise in \(P\) must not reduce the demand for either factor. b. Show that the graphical presumption from part (a) is demonstrated by the input demand functions that can be derived in the Cobb-Douglas case. c. Use the profit function to show how the presence of inferior inputs would lead to ambiguity in the effect of \(P\) on input demand.

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