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Use the window \([-2,2] \times[-2,2]\) to sketch a direction field for the following equations. Then sketch the solution curve that corresponds to the given initial condition. \(A\) detailed direction field is not needed. $$y^{\prime}(t)=y(2-y), y(0)=1$$

Short Answer

Expert verified
Based on the provided step-by-step solution to sketch the direction field and the solution curve, the short answer is as follows: Analyzing the given first-order autonomous differential equation, we found the equilibrium points at y = 0 and y = 2. The function is increasing between these equilibrium points and decreasing above y = 2. Using this information, we sketched a direction field in the rectangular window [-2, 2] × [-2, 2] by drawing horizontal line segments for nullclines and upward or downward sloping line segments for increasing or decreasing intervals respectively. Given the initial condition y(0) = 1, we sketched the solution curve that starts at the point (0, 1) and follows the direction field by increasing in both positive and negative time directions.

Step by step solution

01

Analyze the differential equation

Observe the given differential equation: $$y^{\prime}(t) = y(2-y)$$ We can notice that this differential equation is autonomous, meaning that it does not depend explicitly on the variable \(t\). This implies that our direction field will be consistent in the vertical direction. We should also look for possible equilibrium points and nullclines, as they give us more insights into the solution behavior. Nullclines are when \(y^{\prime}(t) = 0\), therefore: $$y(2-y) = 0 \Rightarrow y = 0 \ \textrm{or} \ y = 2$$ These two lines, \(y = 0\) and \(y = 2\), will represent the equilibrium points of our solution curve.
02

Find the solution behavior for different intervals

Now, we can analyze how our function behaves in the different regions separated by the nullclines. We have three intervals to check: \(y < 0\), \(0 < y < 2\), and \(2 < y\). 1. For \(y < 0\), we have \(y(2-y) > 0\), which means that the function is increasing in this region. 2. For \(0 < y < 2\), we have \(y(2-y) > 0\), also increasing. 3. For \(2 < y\), we have \(y(2-y) < 0\), which means that the function is decreasing in this region.
03

Sketch the direction field

Now that we have an idea of how the function behaves, we can sketch the direction field using small line segments to indicate the slope of the solution for each point in the rectangular window \([-2,2] \times[-2,2]\). 1. For the equilibrium lines \(y = 0\) and \(y = 2\), the horizontal line segments will be drawn, as \(y^{\prime}(t) = 0\). 2. Between the nullclines, draw upward sloping line segments, as the function is increasing. 3. Above the \(y = 2\) line, draw downward sloping line segments, as the function is decreasing.
04

Sketch the solution curve

We are given an initial condition: \(y(0) = 1\). The curve will start from the point \((0, 1)\). Since \(0 < y < 2\), we know that our solution curve should be increasing. Follow the direction field from this initial point with an increasing trajectory in both the positive and negative time directions. To summarize: 1. For \(t > 0\), the solution curve increases as it moves along the positive time axis. 2. For \(t < 0\), the solution curve also increases as it moves along the negative time axis. Sketch the solution curve accordingly.

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Key Concepts

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

Direction Field
In differential equations, a direction field, also known as a slope field, is a visual representation that helps us understand how solutions behave. It consists of small line segments or arrows drawn on a graph, where each line represents the slope of the solution curve at that point. A direction field can give us insights into the nature of solutions without finding the exact solution analytically.

For our equation, the direction field tells us the direction in which the solution curve should move. We observe that between the lines of equilibrium, the arrows point upwards, indicating an increasing solution. Beyond these lines, the arrows change direction according to the behavior of the equation. This visual tool is invaluable for sketching rough solution paths and understanding how the differential equation behaves over a specified range.
Autonomous Equation
Autonomous equations are a special type of differential equation. They have the form \( y' = f(y) \), where the rate of change depends only on the function itself, not on the independent variable, such as time \( t \). This independence implies that the direction field will look the same at any horizontal slice of the graph.

In our case, \( y' = y(2-y) \) is autonomous. This means the slope of the solution curve at any given \( y \) value remains the same for all \( t \). What makes autonomous equations valuable is their simplicity and regularity. The direction field will not shift as \( t \) progresses, which allows us to easily predict and understand the long-term behavior of the solution.
Equilibrium Points
Equilibrium points are where the solution to the differential equation remains constant, meaning the derivative is zero. For our example, we find these points by setting \( y' = 0 \).

Solving \( y(2-y) = 0 \), we get equilibrium points at \( y = 0 \) and \( y = 2 \). These points hold crucial information:
  • For \( y = 0 \), the solution neither decreases nor increases, creating a horizontal direction field line.
  • For \( y = 2 \), the same horizontal effect occurs.
Understanding where these equilibrium points occur in the field helps predict solution behavior and stability. They effectively define the regions where the function will exhibit increasing or decreasing trends.
Solution Curve
The solution curve represents the path that a particular solution takes through the direction field based on a given initial condition. It forms the trajectory that follows the arrows or line segments of the field.

Given the initial condition \( y(0) = 1 \), the solution curve starts at the point \( (0, 1) \). According to the direction field constructed:
  • For \( 0 < y < 2 \), this trajectory follows an upward slant due to increasing direction field lines.
  • The curve will continue to rise because it remains below the equilibrium at \( y = 2 \).
The solution curve emphasizes the concept that initial conditions dictate how solutions move, while the direction field provides a backdrop illustrating possible paths.

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Most popular questions from this chapter

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. $$r=0.2, K=300, P_{0}=50$$

Solve the following initial value problems and leave the solution in implicit form. Use graphing software to plot the solution. If the implicit solution describes more than one curve, be sure to indicate which curve corresponds to the solution of the initial value problem. $$y^{\prime}(x)=\sqrt{\frac{x+1}{y+4}}, y(3)=5$$

Solve the differential equation for Newton's Law of Cooling to find the temperature in the following cases. Then answer any additional questions. A glass of milk is moved from a refrigerator with a temperature of \(5^{\circ} \mathrm{C}\) to a room with a temperature of \(20^{\circ} \mathrm{C}\). One minute later the milk has warmed to a temperature of \(7^{\circ} \mathrm{C}\). After how many minutes does the milk have a temperature that is \(90 \%\) of the ambient temperature?

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. $$y^{\prime}(t)+\frac{3}{t} y(t)=1-2 t, \quad y(2)=0$$

U.S. population projections According to the U.S. Census Bureau, the nation's population (to the nearest million) was 281 million in 2000 and 310 million in \(2010 .\) The Bureau also projects a 2050 population of 439 million. To construct a logistic model, both the growth rate and the carrying capacity must be estimated. There are several ways to estimate these parameters. Here is one approach: a. Assume that \(t=0\) corresponds to 2000 and that the population growth is exponential for the first ten years; that is, between 2000 and \(2010,\) the population is given by \(P(t)=P(0) e^{n}\) Estimate the growth rate \(r\) using this assumption. b. Write the solution of the logistic equation with the value of \(r\) found in part (a). Use the projected value \(P(50)=439 \mathrm{mil}\) lion to find a value of the carrying capacity \(K\) c. According to the logistic model determined in parts (a) and (b), when will the U.S. population reach \(95 \%\) of its carrying capacity? d. Estimations of this kind must be made and interpreted carefully. Suppose the projected population for 2050 is 450 million rather than 439 million. What is the value of the carrying capacity in this case? e. Repeat part (d) assuming the projected population for 2050 is 430 million rather than 439 million. What is the value of the carrying capacity in this case? f. Comment on the sensitivity of the carrying capacity to the 40-year population projection.

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