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Ch. 4 - Applications of the Derivative
Briggs - Calculus: Early Transcendentals 3rd Edition
Briggs3rd EditionCalculus: Early TranscendentalsISBN: 9780136847243Not the one you use?Change textbook
Chapter 4, Problem 4.3.111a

Population models The population of a species is given by the function P(t) = Kt²/(t² + b) , where t ≥ 0 is measured in years and K and b are positive real numbers.


a. With K = 300 and b = 30, what is lim_t→∞ P(t), the carrying capacity of the population?

Verified step by step guidance
1
First, understand the concept of carrying capacity in population models. It refers to the maximum population size that the environment can sustain indefinitely.
To find the carrying capacity, we need to evaluate the limit of the function P(t) as t approaches infinity. This involves analyzing the behavior of the function as t becomes very large.
The function given is P(t) = \( \frac{Kt^2}{t^2 + b} \). Substitute K = 300 and b = 30 into the function, resulting in P(t) = \( \frac{300t^2}{t^2 + 30} \).
To find \( \lim_{t \to \infty} P(t) \), divide both the numerator and the denominator by \( t^2 \), the highest power of t in the expression. This simplifies the function to \( \frac{300}{1 + \frac{30}{t^2}} \).
As t approaches infinity, \( \frac{30}{t^2} \) approaches 0, simplifying the expression to \( \frac{300}{1} \). Therefore, the limit is 300, which is the carrying capacity of the population.

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Key Concepts

Here are the essential concepts you must grasp in order to answer the question correctly.

Limits

In calculus, a limit describes the behavior of a function as its input approaches a certain value. It is essential for understanding how functions behave at boundaries or at infinity. In this context, evaluating the limit as t approaches infinity helps determine the long-term behavior of the population model.
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Carrying Capacity

Carrying capacity refers to the maximum population size that an environment can sustain indefinitely without being degraded. In population models, it is often represented as the limit of the population function as time approaches infinity, indicating the population's equilibrium state under given conditions.
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Rational Functions

A rational function is a ratio of two polynomials. In the given population model, P(t) is a rational function where the numerator and denominator are both polynomials in t. Understanding the behavior of rational functions, particularly their limits at infinity, is crucial for analyzing population dynamics in this context.
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Related Practice
Textbook Question

Explain why or why not Determine whether the following statements are true and give an explanation or counterexample.


a. F(x) = x³ - 4x + 100 and G(x) = x³ - 4x - 100 are antiderivatives of the same function.

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Textbook Question

Folded boxes


a. Squares with sides of length x are cut out of each corner of a rectangular piece of cardboard measuring 5 ft by 8 ft. The resulting piece of cardboard is then folded into a box without a lid. Find the volume of the largest box that can be formed in this way.

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Textbook Question

Optimal soda can


a. Classical problem Find the radius and height of a cylindrical soda can with a volume of 354 cm³ that minimize the surface area.

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Textbook Question

Optimal popcorn box A small popcorn box is created from a 12" x 12" sheet of paperboard by first cutting out four shaded rectangles, each of length x and width x/2 (see figure). The remaining paperboard is folded along the solid lines to form a box. What dimensions of the box maximize the volume of the box? <IMAGE>

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Textbook Question

Maximizing profit Suppose a tour guide has a bus that holds a maximum of 100 people. Assume his profit (in dollars) for taking people on a city tour is P(n) = n(50 - 0.5n) - 100. (Although P is defined only for positive integers, treat it as a continuous function.)


a. How many people should the guide take on a tour to maximize the profit?

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Textbook Question

Suppose the objective function P= xy is subject to the constraint 10x + y = 100, where x and y are real numbers.


a. Eliminate the variable y from the objective function so that P is expressed as a function of one variable x.

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