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Write a logistic equation with the following parameter values. Then solve the initial value problem and graph the solution. Let \(r\) be the natural growth rate, \(K\) the carrying capacity, and \(P_{0}\) the initial population. $$r=0.2, K=300, P_{0}=50$$

Short Answer

Expert verified
To summarize, given the parameters \(r\), \(K\), and the initial population \(P_{0}\), we found the logistic equation as: $$\frac{dP}{dt} = 0.2P \left(1-\frac{P}{300}\right)$$ We then solved the initial value problem with the initial condition and found the solution function: $$P(t) = \frac{300(50)}{250(1-e^{-\frac{0.2t}{300}})+50}$$ Graphing the solution \(P(t)\) over the interval \(0 \leq t \leq 100\) will show how the population approaches the carrying capacity \(K=300\) over time.

Step by step solution

01

Write the Logistic Equation with Given Parameters

Using the logistic equation and the given parameter values, we can write the equation as: $$\frac{dP}{dt} = 0.2P \left(1-\frac{P}{300}\right)$$
02

Solve the Initial Value Problem

To solve this differential equation, we need to solve for \(P(t)\) given the initial value \(P_{0}=50\). Let's rewrite the given ODE in the following form $$\frac{dP}{t} = \frac{0.2P(300-P)}{300}$$ We have the pattern of a separable equation: $$\frac{dP}{P(300-P)} = \frac{0.2 dt}{300}$$ Now integrate both sides: $$\int\left(\frac{1}{P}+\frac{1}{300-P}\right)dP = \int\frac{0.2}{300}dt$$ Use partial fraction decomposition on the left-hand side: $$\int\left(\frac{A}{P}+\frac{B}{300-P}\right)dP = A \int\frac{dP}{P} +B \int\frac{dP}{300-P}$$ where \(A\) and \(B\) are constants. By matching coefficients, we find \(A=1\) and \(B=1\). Therefore, the equation becomes: $$\int\frac{dP}{P} + \int\frac{dP}{300-P} = \int\frac{0.2}{300}dt$$ Now integrate: $$\ln |P|-\ln |300-P| = \frac{0.2t}{300} + C$$ Apply exponentiation to eliminate the logarithm: $$\frac{P}{300-P} = e^{\frac{0.2t}{300}+C}$$
03

Use the Initial Condition

Solve for the constant \(C\) using the initial condition \(P_{0}=50\) at \(t=0\): $$\frac{50}{300-50} = e^{C}$$ $$C = \ln\left(\frac{50}{250}\right)$$
04

Find the Solution \(P(t)\)

Rewriting the previous solution we get $$P(t) = \frac{300e^{\frac{0.2t}{300}+\ln(\frac{50}{250})}}{1+e^{\frac{0.2t}{300}+\ln(\frac{50}{250})}}$$ Simplifying this expression gives us the final solution: $$P(t) = \frac{300(50)}{250(1-e^{-\frac{0.2t}{300}})+50}$$
05

Graph the Solution

To graph the solution, plot the function \(P(t)\) over a suitable time interval, say \(0 \leq t \leq 100\). Note that the population will approach the carrying capacity \(K=300\) as time goes on, and observing the graph will help visualize this.

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Key Concepts

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

Natural Growth Rate
In the context of logistic equations, the natural growth rate, represented by the symbol \(r\), is a key parameter. It refers to the rate at which a population grows in an ideal, unlimited environment. For the exercise given, \(r\) is 0.2. This value indicates the population’s intrinsic growth rate without any restrictions. In reality, the natural growth rate provides insight into how quickly a species would increase if resources were dangerously abundant. It becomes the initial driving force in the logistic model before environmental factors come into play.
Carrying Capacity
Carrying capacity, denoted as \(K\), is a crucial component in understanding population dynamics. It represents the maximum population size that an environment can sustain long-term without degradation. In the logistic equation from the exercise, \(K\) is set at 300. This value influences how the population growth rate slows as the population approaches this threshold. The concept helps to model realistic population growth by showing how resources, disease, and other limiting factors constrain unchecked growth. This ultimately leads the population to stabilize around the carrying capacity value.
Separable Equations
The logistic equation from the exercise is a classic example of a separable differential equation. Separable equations allow us to isolate variables on different sides of the equation, facilitating the process of integrating each side independently. By transforming the equation \(\frac{dP}{P(300-P)} = \frac{0.2}{300}dt\), it becomes possible to integrate the function of \(P\) and \(t\) separately. This method greatly simplifies the problem-solving process. It highlights one of the powerful techniques of calculus where complex equations can be disentangled into more manageable parts.
Initial Value Problem
An initial value problem involves solving a differential equation with a given initial condition. For the logistic equation provided, the initial population \(P_0\) is 50 at time \(t=0\). The initial value problem aspect introduces a real-world starting point to the model, which allows the solution to reflect a specific scenario accurately. By applying this initial condition, you solve for the unknown constant in your solution, tailoring the general solution to fit the particular case described. This is crucial for modeling scenarios that reflect actual conditions.

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Most popular questions from this chapter

Analysis of a separable equation Consider the differential equation \(y y^{\prime}(t)=\frac{1}{2} e^{t}+t\) and carry out the following analysis. a. Find the general solution of the equation and express it explicitly as a function of \(t\) in two cases: \(y>0\) and \(y < 0\) b. Find the solutions that satisfy the initial conditions \(y(-1)=1\) and \(y(-1)=2\) c. Graph the solutions in part (b) and describe their behavior as \(t\) increases. d. Find the solutions that satisfy the initial conditions \(y(-1)=-1\) and \(y(-1)=-2\) e. Graph the solutions in part (d) and describe their behavior as \(t\) increases.

Explain how the growth rate function determines the solution of a population model.

The equation \(y^{\prime}(t)+a y=b y^{p},\) where \(a, b,\) and \(p\) are real numbers, is called a Bernoulli equation. Unless \(p=1,\) the equation is nonlinear and would appear to be difficult to solve-except for a small miracle. By making the change of variables \(v(t)=(y(t))^{1-p},\) the equation can be made linear. Carry out the following steps. a. Letting \(v=y^{1-p},\) show that \(y^{\prime}(t)=\frac{y(t)^{p}}{1-p} v^{\prime}(t)\). b. Substitute this expression for \(y^{\prime}(t)\) into the differential equation and simplify to obtain the new (linear) equation \(v^{\prime}(t)+a(1-p) v=b(1-p),\) which can be solved using the methods of this section. The solution \(y\) of the original equation can then be found from \(v\).

Consider the general first-order linear equation \(y^{\prime}(t)+a(t) y(t)=f(t) .\) This equation can be solved, in principle, by defining the integrating factor \(p(t)=\exp \left(\int a(t) d t\right) .\) Here is how the integrating factor works. Multiply both sides of the equation by \(p\) (which is always positive) and show that the left side becomes an exact derivative. Therefore, the equation becomes $$p(t)\left(y^{\prime}(t)+a(t) y(t)\right)=\frac{d}{d t}(p(t) y(t))=p(t) f(t).$$ Now integrate both sides of the equation with respect to t to obtain the solution. Use this method to solve the following initial value problems. Begin by computing the required integrating factor. $$y^{\prime}(t)+\frac{3}{t} y(t)=1-2 t, \quad y(2)=0$$

Make a sketch of the population function (as a function of time) that results from the following growth rate functions. Assume the population at time \(t=0\) begins at some positive value.

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