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Draw a direction field for the given differential equation and state whether you think that the solutions are converging or diverging. y=(4ty)/(1+y2)

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Step by step solution

01

Understand what is a direction field and the given differential equation

A direction field is a method to visualize solutions to first-order differential equations without actually solving the equation. By representing the slopes of the tangent lines of the solution curves at specific points, we can get an idea of how the solutions behave in the plane. The given differential equation is: y=(4ty)(1+y2) where y denotes the derivative of y with respect to t. Our task is to construct the direction field of this equation and observe the behavior of its solutions.
02

Draw the direction field for the given differential equation

To draw the direction field, we will evaluate the equation at various points (t,y) and plot the respective slopes. The slope of the tangent line at a point (t,y) is given by the value of y at that point. 1. Choose a grid of points (t,y) in the plane. 2. Calculate the slope y at each point according to the differential equation y=(4ty)(1+y2). 3. Plot a small segment of a line with the calculated slope at the corresponding point in the plane. By constructing the above direction field, you will be able to visualize the local behavior of the solutions without solving the given differential equation.
03

Determine if the solutions are converging or diverging

Observe the behavior of the solutions by looking at the direction field. If the lines drawn in the direction field seem to be converging towards a particular point or a specific curve, then the solutions are converging. However, if the lines seem to be spreading away from each other, it indicates that the solutions are diverging. By following the above steps, you will be able to analyze the given differential equation's direction field and deduce whether the solutions are converging or diverging.

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Key Concepts

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

Differential Equation
Differential equations are mathematical equations that involve functions and their derivatives. They play a crucial role in modeling the behavior of complex systems over time. Essentially, a differential equation provides a relationship between a function and its rate of change. This is particularly useful in fields such as physics, engineering, and biology, where understanding how systems evolve is essential. These equations can be challenging to solve directly, but they offer deep insights into the dynamic systems they describe. For example, the simple harmonic motion of a pendulum or the growth rate of a population can be modeled using differential equations.
First-Order Differential Equations
A first-order differential equation is one that involves the first derivative of a function but no higher derivatives. For instance, the differential equation given in this exercise, y=(4ty)(1+y2), is a first-order differential equation because it contains the first derivative y of the function y(t). What makes these types of equations significant is that they often describe rates of change and can be used to predict future behavior of systems based on initial conditions.To solve these equations, one usually needs an initial condition—an information point from which the solution will be determined. Solving first-order differential equations can be straightforward or complex depending on their form, but they are fundamental for understanding linear systems.
Solution Convergence
Solution convergence refers to the behavior of solutions to a differential equation as they evolve over time. Convergence occurs when all the curves in a direction field move toward a single point or settle into a pattern over time. This means that despite variations in initial conditions, solutions stabilize and predictably approach a particular state. In the context of this problem, you analyze the graphical representation of solutions in the direction field. If the field lines seem to funnel towards a trajectory or a fixed point, you are witnessing convergence. Identifying convergence is vital as it indicates stability, which is often a desirable property in systems analysis. It tells you that the system will not tend to wildly differ over time but instead will hone in on a specific behavior.
Visualization of Solutions
Visualizing solutions of differential equations using a direction field can be an intuitive and effective way to gain insights into the behavior of solutions without actually solving the equations analytically. A direction field consists of tiny line segments or arrows plotted on a grid where each arrow shows the slope of the solution curve at a particular point.To create a direction field like the one in the exercise, you:
  • Choose a grid of points across the plane.
  • Calculate the slope y at each point using the differential equation.
  • Draw small arrows that match these slopes at each corresponding grid point.
This graphical representation allows you to "see" how the solutions behave over the plane and make observations about convergence or divergence. It is a powerful tool for predicting long-term behavior and stability of solutions.

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Most popular questions from this chapter

Harvesting a Renewable Resource. Suppose that the population y of a certain species of fish (for example, tuna or halibut) in a given area of the ocean is described by the logistic equation dy/dt=r(1y/K)y. While it is desirable to utilize this source of food, it is intuitively clear that if too many fish are caught, then the fish population may be reduced below a useful level, and possibly even driven to extinction. Problems 20 and 21 explore some of the questions involved in formulating a rational strategy for managing the fishery. In this problem we assume that fish are caught at a constant rate h independent of the size of the fish population. Then y satisfies dy/dt=r(1y/K)yh The assumption of a constant catch rate h may be reasonable when y is large, but becomes less so when y is small. (a) If \(hy_{0}>y_{1},\) then yy2 as t, but that if \(y_{0}r K / 4,\) show that y decreases to zero as l increases regardless of the value of y0. (c) If h=rK/4, show that there is a single cquilibrium point y=K/2 and that this point is semistable (see Problem 7 ). Thus the maximum sustainable yield is hm=rK/4 corresponding to the equilibrium value y=K/2. Observe that hm has the same value as Ym in Problem 20(d). The fishery is considered to be overexploited if y is reduced to a level below K/2.

Epidemics. The use of mathematical methods to study the spread of contagious diseases goes back at least to some work by Daniel Bernoulli in 1760 on smallpox. In more recent years many mathematical models have been proposed and studied for many different diseases. Deal with a few of the simpler models and the conclusions that can be drawn from them. Similar models have also been used to describe the spread of rumors and of consumer products. Suppose that a given population can be divided into two parts: those who have a given disease and can infect others, and those who do not have it but are susceptible. Let x be the proportion of susceptible individuals and y the proportion of infectious individuals; then x+y=1. Assume that the disease spreads by contact between sick and well members of the population, and that the rate of spread dy/dt is proportional to the number of such contacts. Further, assume that members of both groups move about freely among each other, so the number of contacts is proportional to the product of x and y. since x=1y we obtain the initial value problem dy/dt=αy(1y),y(0)=y0 where α is a positive proportionality factor, and y0 is the initial proportion of infectious individuals. (a) Find the equilibrium points for the differential equation (i) and determine whether each is asymptotically stable, semistable, or unstable. (b) Solve the initial value problem (i) and verify that the conclusions you reached in part (a) are correct. Show that y(t)1 as t, which means that ultimately the disease spreads through the entire population.

Show that if (NxMy)/M=Q, where Q is a function of y only, then the differential equation M+Ny=0 has an integrating factor of the form μ(y)=expQ(y)dy

Solve the differential equation (3xy+y2)+(x2+xy)y=0 using the integrating factor μ(x,y)=[xy(2x+y)]1. Verify that the solution is the same as that obtained in Example 4 with a different integrating factor.

Sometimes it is possible to solve a nonlinear equation by making a change of the dependent variable that converts it into a linear equation. The most important such equation has the form y+p(t)y=q(t)yn and is called a Bernoulli equation after Jakob Bernoulli. the given equation is a Bernoulli equation. In each case solve it by using the substitution mentioned in Problem 27(b). y=ryky2,r>0 and k>0. This equation is important in population dynamics an is discussed in detail in Section 2.5 .

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