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The cost of controlling emissions at a firm is given by $$C(q)=4,000+100 q^{2}$$ where \(q\) is the reduction in emissions (in pounds of pollutant per day) and \(C\) is the daily cost to the firm (in dollars) of this reduction. Government clean-air subsidies amount to $$\$ 500$$ per pound of pollutant removed. How many pounds of pollutant should the firm remove each day in order to minimize \(n e t\) cost (cost minus subsidy)?

Short Answer

Expert verified
To minimize the net cost, the firm should remove \(\frac{5}{2}\) pounds of pollutant per day.

Step by step solution

01

Find the net cost function

We're given the cost function as \(C(q)=4,000+100q^2\). We know the subsidy per pound of pollutant removed is \(500\). So, the net cost function can be written as: \[N(q) = C(q) - 500q\] Substitute the given cost function into this equation: \[N(q) = (4,000 + 100q^2) - 500q\]
02

Take the derivative of the net cost function

To find the minimum of the net cost function, we will take the derivative with respect to \(q\) and set it equal to zero. So, we have: \[\frac{dN(q)}{dq} = \frac{d(4,000 + 100q^2 - 500q)}{dq}\] Applying the differentiation rules, we get: \[\frac{dN(q)}{dq} = 200q - 500\]
03

Set the derivative equal to zero and solve for \(q\)

To find the minimum value, set the derivative equal to zero and solve for \(q\): \[200q - 500 = 0\] Now, solve for \(q\): \[q = \frac{500}{200} = \frac{5}{2}\] So the firm should remove \(q = \frac{5}{2}\) pounds of pollutant per day to minimize the net cost.
04

Conclusion

The firm should remove \(\frac{5}{2}\) pounds of pollutant per day in order to minimize the net cost (cost minus subsidy).

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Key Concepts

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

Understanding Cost Functions
A cost function is essentially a formula that represents the cost associated with producing a specific quantity of goods or, in this case, reducing a certain level of pollution. It helps firms forecast expenses based on various factors. In our example, the cost function is \(C(q) = 4,000 + 100q^2\). Here, \(q\) represents the amount of emissions reduced in pounds per day.
  • The constant \(4,000\) is a fixed cost, which means it's incurred regardless of the level of emissions reduced.
  • The term \(100q^2\) signifies the variable cost that changes with the amount of emissions controlled. The \(q^2\) suggests this is a nonlinear cost function where costs increase quadratically as more pollutants are reduced.

This function illustrates how financial decisions are influenced by both fixed and variable costs, giving insight into the overall expenses tied to emission control activities.
Impact of Subsidies on Costs
Subsidies are financial aids provided by the government to reduce the burden on firms. In this scenario, the government offers a subsidy of \$500 per pound of pollutant removed.
This type of subsidy plays a crucial role in reducing the net cost calculated by firms when they decide the amount of emissions to remove.
  • A subsidy effectively lowers the firm's total expenses by a fixed rate per unit of output or action, like reducing pollution.
  • It encourages firms to engage more in activities recommended by governmental policies, such as reducing emissions, to benefit from subsidies.

In the exercise, the subsidy helps calculate the net cost, which is given by the formula \(N(q) = C(q) - 500q\). This enabled the firm to calculate how much it truly costs after accounting for the government incentives while optimizing their pollutant reduction strategies.
Role of Derivatives in Optimization
Derivatives are mathematical tools used to measure how a function changes as its input changes. In optimization problems, they help in finding maximum or minimum values of functions. Here, we apply derivatives to the net cost function \(N(q) = C(q) - 500q\) to determine the optimal reduction level.
  • The derivative \(\frac{dN(q)}{dq}\) of the net cost function indicates the rate of change of costs with respect to emissions reduction.
  • To find the point where costs are minimized, set the derivative equal to zero. This gives the point where the slope of the curve is flat, indicating a local minimum or maximum.

From this, we derived \(200q - 500 = 0\). Solving for \(q\), we found that removing \(\frac{5}{2}\) pounds of pollutant per day will minimize net costs. This process illustrates how derivatives are vital in optimizing business and economic decisions by finding points of cost minimization.

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