Chapter 9: Problem 21
Find the solution \(y(t)\) by recognizing each differential equation as determining unlimited, limited, or logistic growth, and then finding the constants. $$ \begin{array}{l} y^{\prime}=0.05(0.25-y) \\ y(0)=0 \end{array} $$
Short Answer
Expert verified
The solution is \( y(t) = 0.25 - 0.25e^{-0.05t} \).
Step by step solution
01
Identify the type of growth
The differential equation \( y' = 0.05(0.25 - y) \) is a linear differential equation that describes a limited growth model. The term \( 0.25 - y \) suggests that the growth rate decreases as \( y \) approaches 0.25, indicating a carrying capacity.
02
Write the standard form of limited growth equation
The standard form for a differential equation describing limited growth is \( y' = r(K-y) \), where \( K \) is the carrying capacity and \( r \) is the growth rate. Comparing this with the given equation, we have \( r = 0.05 \) and \( K = 0.25 \).
03
Solve the differential equation
To solve the equation, we separate the variables: \( \frac{dy}{0.25-y} = 0.05 \, dt \). Integrating both sides gives \( -\ln|0.25-y| = 0.05t + C \). By exponentiating both sides, we find \( 0.25 - y = Ae^{-0.05t} \), where \( A = e^C \) is the integration constant.
04
Use the initial condition to find integration constant
Use the initial condition \( y(0) = 0 \) to determine \( A \). Substitute \( t = 0 \) and \( y = 0 \) into the equation: \( 0.25 - 0 = A \cdot e^{0} \). Thus, \( A = 0.25 \).
05
Write the solution function
Substitute \( A = 0.25 \) back into the solution equation: \( 0.25 - y = 0.25e^{-0.05t} \). Solving for \( y \), we get \( y = 0.25 - 0.25e^{-0.05t} \).
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Key Concepts
These are the key concepts you need to understand to accurately answer the question.
Differential Equation
A differential equation is an equation that relates a function with its derivatives. In the context of growth models, differential equations are used to describe how a quantity such as population, height, or mass changes over time. In our exercise, the differential equation is given as \( y' = 0.05(0.25 - y) \). This equation shows how the variable \( y \) (which can represent a population or another quantity) changes with respect to time \( t \). Breaking it down:
- The left side, \( y' \), represents the rate of change of \( y \) with respect to time.
- The right side, \( 0.05(0.25 - y) \), gives the specific form of the rate of change, depending on \( y \).
Carrying Capacity
Carrying capacity is a concept that refers to the maximum population size that an environment can sustain indefinitely. In a mathematical model describing population growth, the carrying capacity is a limit that the population approaches over time. In our exercise, the carrying capacity \( K \) is indicated by the constant \( 0.25 \) in the differential equation \( y' = 0.05(0.25 - y) \). Here, the term \( 0.25 \) suggests that the variable \( y \) will grow until it reaches a value of \( 0.25 \). Key points about carrying capacity:
- It is the point where the rate of growth becomes zero.
- The quantity \( y \) does not exceed this value under the model's assumptions.
- It ensures that resources or limitations are accounted for in the population growth model.
Growth Rate
Growth rate in a differential equation describes how fast a quantity is increasing or decreasing over time. In the given equation \( y' = 0.05(0.25 - y) \), the growth rate is represented by the constant \( 0.05 \). This constant tells us how quickly the variable \( y \) approaches its carrying capacity.Considerations of the growth rate:
- A larger growth rate implies a steeper, faster increase.
- A smaller rate means a slower approach to the carrying capacity.
- The growth rate in this model is constant, meaning it does not change as \( y \) changes.
Initial Condition
The initial condition of a differential equation specifies the value of the function at a particular point, often used to find the constant of integration when solving the equation. In our context, the initial condition is \( y(0) = 0 \), meaning that at time \( t = 0 \), the quantity \( y \) is equal to \( 0 \).Why initial conditions matter:
- They provide a starting point for the model, giving context to the solution.
- They are essential for determining specific solutions from a family of possible solutions.
- With the initial condition \( y(0) = 0 \), we determine the integration constant \( A \).