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The populations of four towns for time \(t,\) in years, are given by: $$ \begin{array}{l} P_{1}(t)=12,000(1.05)^{t} \\ P_{2}(t)=6000(1.07)^{t} \\ P_{3}(t)=100,000(1.01)^{t} \\ P_{4}(t)=1000(1.9)^{t} \end{array} $$ a. Which town has the largest initial population? b. Which town has the largest growth factor? c. At the end of 10 years, which town would have the largest population?

Short Answer

Expert verified
a. P3(t) has the largest initial population. b. P4(t) has the largest growth factor. c. P4(t) has the largest population at the end of 10 years.

Step by step solution

01

- Identify Initial Populations

Initial population is the population at time t = 0. For each function, the initial population is the constant coefficient.
02

- Compare Initial Populations

Compare the constant coefficients of the given functions: \(\begin{array}{l} P_{1}(t)=12,000(1.05)^{t} \ P_{2}(t)=6000(1.07)^{t} \ P_{3}(t)=100,000(1.01)^{t} \ P_{4}(t)=1000(1.9)^{t} \ End{array} \) Therefore the initial populations are 12000, 6000, 100000, and 1000 respectively. The largest initial population is from P3(t) = 100,000.
03

- Identify Growth Factors

Growth factor is the base of the exponential part of each function. For each function, this is the number inside the parentheses raised to the power of t.
04

- Compare Growth Factors

Compare the bases of the exponential expressions: (1.05), (1.07), (1.01), and (1.9). The largest growth factor is 1.9 from P4(t) = 1000(1.9)^{t}.
05

- Calculate Population after 10 Years

Substitute t = 10 into each function: \(• P_{1}(10) = 12000(1.05)^{10}\) \(• P_{2}(10) = 6000(1.07)^{10}\) \(• P_{3}(10) = 100000(1.01)^{10}\) \(• P_{4}(10) = 1000(1.9)^{10}\) Calculate the values: \(P_{1}(10) ≈ 19561\) \(P_{2}(10) ≈ 11836\) \(P_{3}(10) ≈ 110462\) \(P_{4}(10) ≈ 613106}\) Therefore, at the end of 10 years, P4(t) has the largest population.

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Key Concepts

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

initial population
In population modeling, the initial population refers to the number of individuals in the population at the starting point, typically when time \( t \) is zero. This value provides a baseline for understanding growth over time.

In our exercise, each town's initial population is represented by the constant coefficient in their respective population functions:
  • \( P_1(t) = 12,000(1.05)^t \)
  • \( P_2(t) = 6000(1.07)^t \)
  • \( P_3(t) = 100,000(1.01)^t \)
  • \( P_4(t) = 1000(1.9)^t \)
Therefore, the initial populations are: 12,000 for Town 1, 6,000 for Town 2, 100,000 for Town 3, and 1,000 for Town 4. Comparing these, Town 3 has the largest initial population with 100,000 individuals.
growth factor
The growth factor in an exponential population model determines how the population changes over time. It is the value inside the parentheses in the population equation raised to the power of \( t \).

In our problem, the growth factors for each town are:
  • \( P_1(t) =12,000(1.05)^t \) - Growth Factor: 1.05
  • \( P_2(t) =6000(1.07)^t \) - Growth Factor: 1.07
  • \( P_3(t) =100,000(1.01)^t \) - Growth Factor: 1.01
  • \( P_4(t) =1000(1.9)^t \) - Growth Factor: 1.9
The town with the largest growth factor is clearly Town 4, with a growth factor of 1.9. This means that each year, the population in Town 4 grows by 90%.
exponential functions
Exponential functions are used to model situations where a quantity grows or decays at a rate proportional to its current value. The general form of an exponential function is:

\( P(t) = P_0 \cdot (b)^t \)

Where:
- \( P(t) \) is the population at time \( t \).
- \( P_0 \) is the initial population.
- \( b \) is the growth factor.
- \( t \) is the time.

In our given problem, the population of the towns is modeled using exponential functions of this form, showing how the population changes over time. The exponential nature indicates that the populations will grow faster as time increases, assuming the growth factor is greater than 1.
population modeling
Population modeling uses mathematical equations to represent how a population changes over time. Exponential models are a common choice for population growth, as they can show rapid increases or decreases based on the growth factor.

For example, the population models in our exercise are:
  • Town 1: \( P_1(t) = 12,000(1.05)^t \)
  • Town 2: \( P_2(t) = 6000(1.07)^t \)
  • Town 3: \( P_3(t) = 100,000(1.01)^t \)
  • Town 4: \( P_4(t) = 1000(1.9)^t \)
By substituting different values of \( t \), we can predict future populations. For instance, after 10 years:
\[ P_1(10) ≈ 19,561 \]
\[ P_2(10) ≈ 11,836 \]
\[ P_3(10) ≈ 110,462 \]
\[ P_4(10) ≈ 613,106 \]
This shows that Town 4 will have the largest population at the end of 10 years due to its high growth factor.

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Most popular questions from this chapter

Each of two towns had a population of 12,000 in \(1990 .\) By 2000 the population of town A had increased by \(12 \%\) while the population of town B had decreased by \(12 \%\). Assume these growth and decay rates continued. a. Write two exponential population models \(A(T)\) and \(B(T)\) for towns A and \(\mathrm{B}\), respectively, where \(T\) is the number of decades since 1990 . b. Write two new exponential models \(a(t)\) and \(b(t)\) for towns A and \(\mathrm{B}\), where \(t\) is the number of years since 1990 . c. Now find \(A(2), B(2), a(20)\), and \(b(20)\) and explain what you have found.

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