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In each exercise, discuss the behavior of the solution \(y(t)\) as \(t\) becomes large. Does \(\lim _{t \rightarrow \infty} y(t)\) exist? If so, what is the limit? \(\frac{y^{\prime}-e^{-t}+2}{y}=-2, \quad y(0)=-2\)

Short Answer

Expert verified
If so, what is the limit? Answer: Yes, the limit exists. As t approaches infinity, the limit of the solution y(t) is 0.

Step by step solution

01

Rewrite the given equation

Rewrite the given differential equation in the form \(y'(t) = f(t,y(t))\) by isolating \(y'(t)\) and simplifying the expression. Doing so, we get: \(y'(t) = -2y(t) + e^{-t} + 2\)
02

Solve the homogeneous equation

Write down the homogeneous equation, i.e., the associated equation without the non-homogeneous term: \(y_h'(t) = -2y_h(t)\). Now, solve the homogeneous equation using separation of variables: \(\frac{1}{y_h(t)} dy_h(t) = -2 dt\). Integrating both sides, we get: \(\ln\left\lvert{y_h(t)}\right\rvert=-2t+C_1\). Taking exponential of both sides and introducing the integration constant \(C_1\), we get the general solution of the homogeneous equation: \(y_h(t) = C_1e^{-2t}\).
03

Find a particular solution

Use the method of variation of parameters to find a particular solution to the non-homogeneous equation. We aim to find a function \(u(t)\) that satisfies: \(u(t) y_h(t) = y_p(t)\). Then, differentiate the equation to get: \(u'(t) y_h(t) + u(t) y_h'(t) = y_p'(t)\). Now, compute \(y_p'(t)\) using the original non-homogeneous equation: \(y_p'(t) = -2y_p(t) + e^{-t} + 2\). By substitution, we have \(u'(t) y_h(t) + u(t) (-2y_h(t)) = -2u(t) y_h(t) + e^{-t} + 2\). Cancel out the term \(-2u(t) y_h(t)\) on both sides and divide by \(y_h(t)\): \(u'(t) = \frac{e^{-t} + 2}{C_1e^{-2t}}\). Integrate both sides: \(u(t) = \int \frac{e^{-t} + 2}{C_1e^{-2t}} dt = \frac{1}{C_1} \int (e^t + 2e^{t}) dt\). To find the final answer, we compute the integral: \(u(t) = \frac{1}{C_1}(e^t + 2e^t) + C_2\). Now, the particular solution is given by \(y_p(t) = u(t)y_h(t)\), where \(y_h(t)\) is the general solution of the homogeneous equation: \(y_p(t) = (e^t + 2e^t + C_2 C_1) e^{-2t}\).
04

Apply the initial condition

Given that \(y(0) = -2\), we have \(-2 = (e^0 + 2e^0 + C_2 C_1) e^0\). Solve for \(C_2 C_1\): \(C_2 C_1 = -5\).
05

Analyze the behavior of the solution as t approaches infinity

We have found the particular solution: \(y(t) = (e^t + 2e^t - 5)e^{-2t}\). Now, we analyze the behavior of the solution as \(t \rightarrow \infty\). Since the terms with \(e^t\) will cancel out, and the terms with \(e^{-t}\) will approach zero, the limit is given by: \(\lim_{t \rightarrow \infty} y(t) = \lim_{t \rightarrow \infty} (e^t + 2e^t - 5)e^{-2t} = (1 + 2 - 5)(0) = 0\). Therefore, the limit exists, and it is equal to 0.

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Key Concepts

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

Homogeneous Differential Equations
Understanding homogeneous differential equations is crucial for students tackling higher-level math. These refer to differential equations where every term is a function of the variable and its derivatives. Typically, they take the form \(ay'' + by' + cy = 0\) where \(a\), \(b\), and \(c\) are constants. To solve them, one common method is separation of variables, where we isolate the terms involving the derivative \(y'\) on one side and the function \(y\) on the other.

Once the variables are separated, we integrate both sides with respect to their respective variables. This process yields a general solution involving an arbitrary constant, representing the infinite family of solutions that a homogeneous differential equation possesses. In our problem, after separating variables, we obtained the solution \(y_h(t) = C_1e^{-2t}\), which represents the general solution for the homogeneous part of the equation.
Non-Homogeneous Differential Equations
While homogeneous differential equations are vital, students must also understand non-homogeneous differential equations to solve more complex problems. These equations have a similar form to homogeneous versions, but include an additional function that does not merely consist of the variable and its derivatives multiplied by constants. In other words, we have something like \(ay'' + by' + cy = g(x)\), where \(g(x)\) is a non-zero function that brings in non-homogeneity to the equation.

For our textbook problem, the non-homogeneous term comes from \(e^{-t} + 2\). Solving such equations often involves finding a particular solution that satisfies the non-homogeneous equation and then adding it to the general solution of the homogeneous equation. This comprehensive solution covers the behaviors of all potential specific scenarios described by the differential equation.
Method of Variation of Parameters
One advanced method for solving non-homogeneous differential equations is the method of variation of parameters. This technique involves introducing new functions, typically \(u(t)\), to replace the constants in the general solution to the homogeneous equation. The goal is to find a particular solution to the non-homogeneous equation, which complements the general solution of the homogeneous equation.

Students should note that this method involves differentiating the \(u(t)y_h(t)\) product and replacing the \(y'\) and \(y\) terms into the original non-homogeneous equation. After some algebraic manipulations, we find that \(u(t)\) satisfies a simpler differential equation, which can then be integrated to find the function \(u(t)\) itself. This strategy is exemplified in our exercise by integrating to find \(u(t)\) and consequently obtaining the particular solution \(y_p(t)\).
Limit of a Function
A fundamental concept in calculus is the limit of a function, which describes the behavior of a function as the input approaches a certain value. In the context of differential equations, understanding the limit helps students discuss the long-term behavior of solutions. For a function \(y(t)\), we denote the limit as \(t\) approaches infinity by \(\lim_{t \rightarrow \infty} y(t)\).

If the limit exists and is finite, it can signal the stabilization or eventual behavior of the system described by the differential equation. In practice, this often involves recognizing terms in the solution that will grow or decay without bound as \(t\) increases. In our exercise, we observed that the exponential terms cancel and the remaining term approaches zero, thus determining that the limit as \(t\) approaches infinity for \(y(t)\) is zero, indicating the solution will stabilize over time.

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Most popular questions from this chapter

Consider a population modeled by the initial value problem $$ \frac{d P}{d t}=(1-P) P+M, \quad P(0)=P_{0} $$ where the migration rate \(M\) is constant. [The model (8) is derived from equation (6) by setting the constants \(r\) and \(P_{*}\) to unity. We did this so that we can focus on the effect \(M\) has on the solutions.] For the given values of \(M\) and \(P(0)\), (a) Determine all the equilibrium populations (the nonnegative equilibrium solutions) of differential equation (8). As in Example 1, sketch a diagram showing those regions in the first quadrant of the \(t P\)-plane where the population is increasing \(\left[P^{\prime}(t)>0\right]\) and those regions where the population is decreasing \(\left[P^{\prime}(t)<0\right]\). (b) Describe the qualitative behavior of the solution as time increases. Use the information obtained in (a) as well as the insights provided by the figures in Exercises 11-13 (these figures provide specific but representative examples of the possibilities). $$ M=-\frac{1}{4}, \quad P(0)=1 $$

An object is dropped from altitude \(y_{0}\). (a) Assume that the drag force is proportional to velocity, with drag coefficient \(k\). Obtain an implicit solution relating velocity and altitude. (b) If the terminal velocity is known to be \(-120 \mathrm{mph}\) and the impact velocity was \(-90 \mathrm{mph}\), what was the initial altitude \(y_{0}\) ?

When modeling the action of drag chutes and parachutes, we have assumed that the chute opens instantaneously. Real devices take a short amount of time to fully open and deploy. In this exercise, we try to assess the importance of this distinction. Consider again the assumptions of Exercise 2 . A 3000 -lb dragster is moving on a straight track at a speed of \(220 \mathrm{mph}\) when, at time \(t=0\), the drag chute is opened. If we assume that the drag force is proportional to velocity and that the chute opens instantaneously, the differential equation to solve is \(m v^{\prime}=-k v\). If we assume a short deployment time to open the chute, a reasonable differential equation might be \(m v^{\prime}=-k(\tanh t) v\). Since \(\tanh (0)=0\) and \(\tanh (1) \approx 0.76\), it will take about \(1 \mathrm{sec}\) for the chute to become \(76 \%\) deployed in this model. Assume \(k=25 \mathrm{lb}-\mathrm{sec} / \mathrm{ft}\). Solve the two differential equations and determine in each case how long it takes the vehicle to slow to \(50 \mathrm{mph}\). Which time do you anticipate will be larger? (Explain.) Is the idealization of instantaneous chute deployment realistic?

(a) Obtain an implicit solution and, if possible, an explicit solution of the initial value problem. (b) If you can find an explicit solution of the problem, determine the \(t\)-interval of existence. $$ (\ln y) y^{\prime}+t=1, \quad y(3)=e $$

(a) A first order autonomous differential equation has the form \(y^{\prime}=f(y)\). Show that such an equation is separable. (b) Solve \(y^{\prime}=y(2-y), \quad y(2)=1\).

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