/*! This file is auto-generated */ .wp-block-button__link{color:#fff;background-color:#32373c;border-radius:9999px;box-shadow:none;text-decoration:none;padding:calc(.667em + 2px) calc(1.333em + 2px);font-size:1.125em}.wp-block-file__button{background:#32373c;color:#fff;text-decoration:none} Problem 5 In Exercises \(1-8\) \begin{eq... [FREE SOLUTION] | 91Ó°ÊÓ

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In Exercises \(1-8\) \begin{equation}\begin{array}{l}{\text { a. Identify the equilibrium values. Which are stable and which }} \\ {\text { are unstable? }} \\ {\text { b. Construct a phase line. Identify the signs of } y^{\prime} \text { and } y^{\prime \prime} \text { . }} \\ {\text { c. Sketch several solution curves. }}\end{array}\end{equation} $$y^{\prime}=\sqrt{y}, \quad y>0$$

Short Answer

Expert verified
The equilibrium point is \( y = 0 \) and it is unstable. The phase line indicates solutions increase for \( y > 0 \) with concave-up curves.

Step by step solution

01

Set the Equation Equal to Zero

First, we need to identify the equilibrium values by setting the equation \( y' = \sqrt{y} \) equal to zero: \( \sqrt{y} = 0 \). This occurs when \( y = 0 \).
02

Determine Stability

Check the stability by analyzing the derivative with respect to the dependent variable. In this case, since \( \sqrt{y} \) must be calculated for \( y > 0 \),\( y = 0 \) is considered a boundary equilibrium. Since \( \sqrt{y} \) is always positive for \( y > 0 \), this indicates that \( y \) increases near \( y = 0 \) and is therefore unstable.
03

Construct the Phase Line

On a phase line with values of \( y \), put a point at 0. For \( y > 0 \), the derivative \( y' = \sqrt{y} > 0 \), indicating that all solutions are increasing. Place arrows pointing upwards, representing increment, to the right of 0.
04

Identify Signs of \( y' \) and \( y'' \)

\( y' = \sqrt{y} \) is positive as long as \( y > 0 \). Now, find \( y'' = \frac{d}{dy}(\sqrt{y})\), which becomes \( y'' = \frac{1}{2\sqrt{y}} \), which is also positive for \( y > 0 \). This suggests the graph is concave up.
05

Sketch Several Solution Curves

If plotting the solutions, note that for any initial \( y(0) = c > 0 \), solutions move upward and curve upwards like \( \sqrt{y} \). Solutions start at some \( y_0 > 0 \) and increase at a decreasing rate, moving away from the \( y = 0 \).

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Key Concepts

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

Equilibrium Values
In the study of differential equations, equilibrium values represent points where the system remains unchanged over time. For our exercise, we start by setting the derivative equation to zero: \( y' = \sqrt{y} = 0 \). This calculation helps us find the equilibrium value. By solving this equation, we discover that the equilibrium value is \( y = 0 \). It's crucial to recognize that this equilibrium is actually a boundary case due to the constraint \( y > 0 \). Therefore, we must consider it carefully when analyzing the system's behavior. Equilibrium points like \( y = 0 \) represent where the system might potentially settle, although, in this circumstance, it is considered more of a threshold or beginning point, since any positive \( y \) means the system moves away from this value.
Stability Analysis
Stability analysis involves determining whether small deviations from an equilibrium point will decay or amplify over time. For the given differential equation \( y' = \sqrt{y} \), we can assess stability by observing the behavior of \( \sqrt{y} \) as \( y \) approaches 0. Given that \( \sqrt{y} \) is always positive for \( y > 0 \), any initial positive value of \( y \) will lead to \( y \) increasing. This behavior indicates instability at \( y = 0 \), because the system moves away when slightly perturbed. In layman's terms, if you start even a tiny bit away from zero, \( y \) will grow, confirming that \( y = 0 \) is indeed an unstable point.
Phase Line
A phase line offers a simple method to visually represent the behavior of a differential equation's solutions across different values of \( y \). To create a phase line, mark the equilibrium point \( y = 0 \) on a number line. Then, analyze the sign of the derivative \( y' \) for regions around this point. For our example, since \( y' = \sqrt{y} > 0 \) for \( y > 0 \), we place arrows pointing upwards along the phase line to the right of zero, indicating that solutions are increasing. This graphic representation highlights that as soon as \( y \) is positive, the solution trends upward along the phase line, visually confirming the instability at the equilibrium point.
Solution Curves
Solution curves graphically represent how solutions of a differential equation change over time for various initial conditions. To sketch them for the equation \( y' = \sqrt{y} \), start by considering initial conditions where \( y(0) = c > 0 \). Each initial condition corresponds to a different solution curve that starts at \( c \) and moves upwards. Since we've already established that both \( y' \) and \( y'' \) are positive when \( y > 0 \), we know that the solution curves not only rise but curve upward as well. This concave upward trajectory reflects the fact that the rate of increase accelerates. These curves depict how the solutions spread out from the initial condition and keep growing indefinitely, moving further away from the degenerate equilibrium at \( y = 0 \). Remember, each curve represents the "path" through which the system evolves with time, based on its starting point.

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Most popular questions from this chapter

Write an equivalent first-order differential equation and initial condition for \(y .\) \(y=\int_{1}^{x} \frac{1}{t} d t\)

Use Euler's method to calculate the first three approximations to the given initial value problem for the specified increment size. Calculate the exact solution and investigate the accuracy of your approximations. Round your results to four decimal places. \(y^{\prime}=2 x y+2 y, \quad y(0)=3, \quad d x=0.2\)

Use a CAS to explore graphically each of the differential equations. Perform the following steps to help with your explorations. a. Plot a slope field for the differential equation in the given \(x y\)-window. b. Find the general solution of the differential equation using your CAS DE solver. c. Graph the solutions for the values of the arbitrary constant \(C=-2,-1,0,1,2\) superimposed on your slope field plot. d. Find and graph the solution that satisfies the specified initial condition over the interval \([0, b].\) e. Find the Euler numerical approximation to the solution of the initial value problem with 4 subintervals of the \(x\)-interval and plot the Euler approximation superimposed on the graph produced in part (d). f. Repeat part (e) for \(8,16,\) and 32 subintervals. Plot these three Euler approximations superimposed on the graph from part (e). g. Find the error \((y\) (exact) \(-y\) (Euler)) at the specified point \(x=b\) for each of your four Euler approximations. Discuss the improvement in the percentage error. \(y^{\prime}=x+y, \quad y(0)=-7 / 10 ; \quad-4 \leq x \leq 4, \quad-4 \leq y \leq 4;\) \(b=1\)

In 1925 Lotka and Volterra introduced the predator-prey equations, a system of equations that models the populations of two species, one of which preys on the other. Let \(x(t)\) represent the number of rabbits living in a region at time \(t,\) and \(y(t)\) the number of foxes in the same region. As time passes, the number of rabbits increases at a rate proportional to their population, and decreases at a rate proportional to the number of encounters between rabbits and foxes. The foxes, which compete for food, increase in number at a rate proportional to the number of encounters with rabbits but decrease at a rate proportional to the number of foxes. The number of encounters between rabbits and foxes is assumed to be proportional to the product of the two populations. These assumptions lead to the autonomous system $$ \begin{array}{l}{\frac{d x}{d t}=(a-b y) x} \\ {\frac{d y}{d t}=(-c+d x) y}\end{array} $$ where \(a, b, c, d\) are positive constants. The values of these constants vary according to the specific situation being modeled. We can study the nature of the population changes without setting these constants to specific values. What happens to the rabbit population if there are no foxes present?

In 1925 Lotka and Volterra introduced the predator-prey equations, a system of equations that models the populations of two species, one of which preys on the other. Let \(x(t)\) represent the number of rabbits living in a region at time \(t,\) and \(y(t)\) the number of foxes in the same region. As time passes, the number of rabbits increases at a rate proportional to their population, and decreases at a rate proportional to the number of encounters between rabbits and foxes. The foxes, which compete for food, increase in number at a rate proportional to the number of encounters with rabbits but decrease at a rate proportional to the number of foxes. The number of encounters between rabbits and foxes is assumed to be proportional to the product of the two populations. These assumptions lead to the autonomous system $$ \begin{array}{l}{\frac{d x}{d t}=(a-b y) x} \\ {\frac{d y}{d t}=(-c+d x) y}\end{array} $$ where \(a, b, c, d\) are positive constants. The values of these constants vary according to the specific situation being modeled. We can study the nature of the population changes without setting these constants to specific values. What happens to the fox population if there are no rabbits present?

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