Warning: foreach() argument must be of type array|object, bool given in /var/www/html/web/app/themes/studypress-core-theme/template-parts/header/mobile-offcanvas.php on line 20

Universal Widget produces high-quality widgets at its plant in Gulch, Nevada, for sale throughout the world. The cost function for total widget production \((q)\) is given by total cost \(=0.25 q^{2}\) Widgets are demanded only in Australia (where the demand curve is given by \(q_{A}=100-2 P_{A}\) and Lapland (where the demand curve is given by \(q_{L}=100-4 P_{L}\) ); thus, total demand equals \(q=q_{A}+q_{L}\). If Universal Widget can control the quantities supplied to cach market, how many should it sell in each location to maximize total profits? What price will be charged in each location?

Short Answer

Expert verified
Answer: To determine the optimal number of widgets to sell in each market, follow these steps: 1. Find the revenue function for each market. 2. Express the total revenue in terms of \(q\). 3. Calculate the profit function. 4. Maximize the profit function to find the optimal quantities.

Step by step solution

01

Find the revenue function for each market.

To find the revenue function in each market, we need to multiply the price by the quantity demanded. First, we need to solve the demand curves for price (\(P\)): For Australia: \(q_{A} = 100 - 2P_{A}\) \(P_{A} = \frac{100 - q_{A}}{2}\) For Lapland: \(q_{L} = 100 - 4P_{L}\) \(P_{L} = \frac{100 - q_{L}}{4}\) Now, we can find the revenue function for each market: Revenue in Australia: \(R_{A} = P_{A}q_{A} = \frac{(100 - q_{A})q_{A}}{2}\) Revenue in Lapland: \(R_{L} = P_{L} q_{L} = \frac{(100 - q_{L})q_{L}}{4}\)
02

Express total revenue in terms of q.

Since the total quantity of widgets produced (\(q\)) is equal to the sum of quantities demanded in both markets, we can write: \(q = q_{A} + q_{L}\). Now we will express the total revenue in terms of \(q\): \(R(q) = R_{A} + R_{L} = \frac{(100 - q_{A})q_{A}}{2} + \frac{(100 - q_{L})q_{L}}{4}\) Since \(q_{A} = q - q_{L}\), we can substitute it into the equation: \(R(q) = \frac{(100 - (q - q_{L}))(q - q_{L})}{2} + \frac{(100 - q_{L})q_{L}}{4}\)
03

Calculate the profit function.

The profit function can be calculated by subtracting the total cost function from the revenue function. We will derive the profit function in terms of \(q\): Profit = Revenue - Cost \(P(q) = R(q) - 0.25q^{2} = \left[\frac{(100 - (q - q_{L}))(q - q_{L})}{2} + \frac{(100 - q_{L})q_{L}}{4}\right] - 0.25q^{2}\)
04

Maximize the profit function to find optimal quantities.

To maximize the profit function, we'll take the first-order partial derivatives of \(P(q)\) with respect to \(q_{A}\) and \(q_{L}\), and set them both equal to zero: \(\frac{\partial P}{\partial q_{A}} = 0\) \(\frac{\partial P}{\partial q_{L}} = 0\) Solving these two equations will give us the optimal quantities (\(q_{A}^*\), \(q_{L}^*\)) at which Universal Widget maximizes its profits. After we find the optimal quantities, we can calculate the prices in each market by substituting these quantities back into the demand curves for Australia and Lapland. This will give us the price for each market, \(P_{A}^*\) and \(P_{L}^*\).

Unlock Step-by-Step Solutions & Ace Your Exams!

  • Full Textbook Solutions

    Get detailed explanations and key concepts

  • Unlimited Al creation

    Al flashcards, explanations, exams and more...

  • Ads-free access

    To over 500 millions flashcards

  • Money-back guarantee

    We refund you if you fail your exam.

Over 30 million students worldwide already upgrade their learning with Vaia!

Key Concepts

These are the key concepts you need to understand to accurately answer the question.

Cost Function
In microeconomics, the cost function demonstrates how the cost of producing goods varies with the output level. In our example, Universal Widget's cost function is represented by the equation for total cost, which is \(0.25 q^{2}\). This specific form suggests that the cost of producing widgets follows a quadratic relationship with the quantity produced, indicating that the cost rises as the quantity of widgets (\(q\)) increases.

To optimize profits, a firm must understand how increases in production affect costs, ensuring that increasing production doesn't lead to disproportionate rises in costs that could negate revenue gains.
Demand Curve
The demand curve is a graph that exhibits the relationship between the price of a product and the quantity demanded by consumers. It's downward sloping, showing that as the price decreases, the quantity demanded usually increases. For Universal Widget, two distinct demand curves exist for their markets in Australia and Lapland, with equations \(q_A = 100 - 2 P_A\) and \(q_L = 100 - 4 P_L\), respectively.

A thorough grasp of these demand curves is imperative for setting prices optimally in each market. By controlling the quantities supplied to each market—here labeled as \(q_A\) and \(q_L\)—Universal Widget's strategy would depend on the sensitivity of each market's consumers to changes in price, which is known as the price elasticity of demand.
Revenue Function
The revenue function is the total revenue a company receives from selling its products, calculated by multiplying the quantity of goods sold by their selling price. For Universal Widget, the revenue functions for Australia and Lapland are \(R_A = P_Aq_A\) and \(R_L = P_Lq_L\), which are derived by isolating the price (\(P\)) from the demand equation and then multiplying by the quantity demanded. Together, they form the total revenue function for widgets, \(R(q)\).

Finding the either or of these equations sheds light on how changing quantities sold in each market influences the company's revenue, and is a critical component for establishing profit-maximizing strategies.
Partial Derivatives
When dealing with functions of multiple variables, such as the profit function in our widget example, the use of partial derivatives is key to finding local maxima or minima. These are derivatives of a function with respect to one variable while holding others constant. Setting the first-order partial derivatives of the profit function with respect to \(q_A\) and \(q_L\) to zero, a step known as profit maximization, allows us to solve for the optimal quantities of widgets to sell in each market.

These calculus tools enable economists and businesses to calculate the exact changes needed in one variable to optimize a certain outcome (in this case, profit) while considering the impact of other variables.
Profit Optimization
To achieve profit optimization, we must identify the point at which the difference between total revenue and total costs is greatest. Once the revenue and cost functions are known—as demonstrated in steps prior—we can derive the profit function. Then, by finding the quantities at which the profit function's partial derivatives equal zero, you can pinpoint the precise amount of goods to produce and sell to maximize profits.

In this scenario, profit optimization therefore doesn't only take into account the cost of production and how revenue changes with varying quantities sold, but also how to spatially distribute those quantities across different markets to achieve the greatest return. Practical application of this principle could substantially impact Universal Widget’s financial results.

One App. One Place for Learning.

All the tools & learning materials you need for study success - in one app.

Get started for free

Most popular questions from this chapter

Would a lump-sum profits tax affect the profit-maximizing quantity of output? How about a proportional tax on profits? How about a tax assessed on each unit of output? How about a tax on labor input?

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 \\[ \text { 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.

Because firms have greater flexibility in the long run, their reactions to price changes may be greater in the long run than in the short run. Paul Samuelson was perhaps the first economist to recognize that such reactions were analogous to a principle from physical chemistry termed the Le Châtelier's Principle. The basic idea of the principle is that any disturbance to an equilibrium (such as that caused by a price change) will not only have a direct effect but may also set off feedback effects that enhance the response. In this problem we look at a few examples. Consider a price-taking firm that chooses its inputs to maximize a profit function of the \\[ \text { form } \Pi(P, v, w)=P f(k, l)-w l-v k . \text { This maximiza- } \\] tion process will yield optimal solutions of the general form \(q^{*}(P, v, w), l^{*}(P, v, w),\) and \(k^{*}(P, v, w) .\) If we constrain capital input to be fixed at \(\bar{k}\) in the short run, this firm's short-run responses can be represented by \(q^{s}(P, w, \bar{k})\) and \(l^{s}(P, w, \bar{k})\) a. Using the definitional relation \(q^{*}(P, v, w)=q^{*}(P, w\) \(\left.k^{\prime \prime}(P, v, w)\right),\) show that $$\frac{\partial q^{*}}{\partial P}=\frac{\partial q^{s}}{\partial P}+\frac{-\left(\frac{\partial k^{*}}{\partial P}\right)^{2}}{\frac{\partial k^{*}}{\partial v}}$$ Do this in three steps. First, differentiate the definitional relation with respect to \(P\) using the chain rule. Next, differentiate the definitional relation with respect to \(v\) (again using the chain rule), and use the result to substitute for \(\partial q^{s} / \partial k\) in the initial derivative. Finally, substitute a result analogous to part (c) of Problem 11.10 to give the displayed equation. b. Use the result from part (a) to argue that \(\partial q^{*} / \partial P \geq\) \(\partial q^{s} / \partial P .\) This establishes Le Châtelier's Principle for supply: Long-run supply responses are larger than (constrained short-run supply responses. c. Using similar methods as in parts (a) and (b), prove that Le Châtelier's Principle applies to the effect of the wage on labor demand. That is, starting from the definitional relation \(l^{*}(P, v, w)=l^{*}\left(P, w, k^{*}(P, v, w)\right),\) show that \(\partial l^{*} / \partial w \leq \partial l^{5} / \partial w,\) implying that long-run labor demand falls more when wage goes up than short-run labor demand (note that both of these derivatives are negative). d. Develop your own analysis of the difference between the short-and long-run responses of the firm's cost function \([C(v, w, q)]\) to a change in the wage \((w)\)

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 homogeneous 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}=\frac{-w}{v} C_{v w} \quad \text { and } \quad C_{w w}=\frac{-v}{w} C_{v w} \\] d. Use the results from parts (b) and (c) together with the elasticity of substitution defined \(\sigma=C C_{v w} / C_{v} C_{w}\) 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} P}{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 (c) using the notions of substitution and output effects from Chapter 11

This problem has you work through some of the calculations associated with the numerical example in the Extensions. Refer to the Extensions for a discussion of the theory in the case of Fisher Body and General Motors (GM), who we imagine are deciding between remaining as separate firms or having GM acquire Fisher Body and thus become one (larger) firm. Let the total surplus that the units generate together be \(S\left(x_{P}, x_{G}\right)=x_{F}^{1 / 2}+a x_{G}^{1 / 2},\) where \(x_{F}\) and \(x_{G}\) are the investments undertaken by the managers of the two units before negotiating, and where a unit of investment costs \(\$ 1 .\) The parameter \(a\) measures the importance of GM's manager's investment. Show that, according to the property rights model worked out in the Extensions, it is efficient for GM to acquire Fisher Body if and only if GM's manager's investment is important enough, in particular, if \(a>\sqrt{3}\)

See all solutions

What do you think about this solution?

We value your feedback to improve our textbook solutions.

Study anywhere. Anytime. Across all devices.

Sign-up for free