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Corn Crop \(\quad\) The function \(C\) gives the number of bushels of corn produced on a tract of farmland that is treated with \(f\) pounds of nitrogen per acre. a. Is it possible for \(C(90)\) to be negative? Explain. b. What are the units on \(\left.\frac{d C}{d f}\right|_{f=90}\) ? c. Is it possible for \(\left.\frac{d C}{d f}\right|_{f=90}\) to be negative? Explain.

Short Answer

Expert verified
a. No, cannot be negative. b. Bushels per pound. c. Yes, can be negative due to potential yield decrease.

Step by step solution

01

Understanding Part a

Recall that the function \(C(f)\) represents the number of bushels of corn produced when \(f\) pounds of nitrogen are used per acre. Alone, the units of \(C(f)\) are bushels, which represent a measure of quantity that cannot be negative. Since it is not physically possible to have negative bushels of corn harvested, \(C(90)\) cannot be negative.
02

Understanding Part b

The derivative \(\left.\frac{dC}{df}\right|_{f=90}\) represents the rate of change of the number of bushels of corn with respect to the pounds of nitrogen applied when 90 pounds are used. Thus, the units are in bushels per pound of nitrogen (bushels/pound).
03

Understanding Part c

The derivative \(\left.\frac{dC}{df}\right|_{f=90}\) tells us how the corn yield changes when an additional pound of nitrogen is added to 90 pounds. It is possible for this rate to be negative if adding more nitrogen beyond a certain point reduces yield due to detrimental effects on corn plants. Thus, \(\left.\frac{dC}{df}\right|_{f=90}\) can be negative, implying excessive nitrogen may harm yield.

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Key Concepts

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

Derivative
In calculus, a derivative helps us understand how a function changes as its input changes. Specifically, for a function like \( C(f) \), which gives the number of bushels of corn, the derivative measures the sensitivity of the corn yield to changes in nitrogen applied. When you calculate the derivative, \( \left.\frac{dC}{df}\right|_{f=90} \), you are finding out how much additional corn is produced for each additional pound of nitrogen applied at precisely 90 pounds.
The derivative is a powerful tool because it tells us the rate at which things change. In our corn example, it describes the rate of change of corn production concerning nitrogen usage. By understanding the derivative, we can make predictions and decisions about optimal nitrogen levels to maximize crop yield without wasting resources.
Rate of change
The rate of change is a fundamental concept in understanding how one quantity changes in relation to another. In the context of our corn crop exercise, the rate of change is represented by \( \left.\frac{dC}{df}\right|_{f=90} \). This tells us how the number of bushels produced changes when you tweak the amount of nitrogen applied.
  • For example, if the derivative is positive, it means that adding more nitrogen results in more corn bushels. You're getting more corn for your fertilizer.
  • However, if this number is negative, it means that additional nitrogen is actually harmful, reducing the yield. This insight is crucial for understanding how to optimize conditions for maximum production.
Thus, knowing the rate of change enables farmers to balance fertilizer use effectively to improve or sustain their crop yields without overuse.
Functions
Functions are a central theme in mathematics and calculus. They represent a relationship between two variables where each input is related to one output. In this exercise, \( C(f) \) is a function where \( f \), the amount of nitrogen, is the input that determines the output \( C \), the number of corn bushels produced.A function's behavior can tell us a lot about the relationship between its variables. For instance, with \( C(f) \), changes in \( f \) affect \( C \) based on the conditions of the soil, crop type, and other environmental factors. By analyzing functions and their derivatives, we gain insight into optimal agricultural practices. The beauty of understanding functions in calculus is that they allow us to model and predict real-world phenomena. By studying the characteristics of \( C(f) \), such as its maximum and minimum points, farmers and agronomists can improve strategies to enhance corn production sustainably.

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