/*! 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 55 In Problems 55-60 you will need ... [FREE SOLUTION] | 91Ó°ÊÓ

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In Problems 55-60 you will need to solve differential equations by separation of variables. In these problems it will not always be possible to solve explicitly for \(y\) in terms of \(t ;\) instead your solution may take the form of an implicit function relating the two variables. $$ \frac{d y}{d t}=\frac{y^{2}+y}{t-1} \text { where } y(0)=1 $$

Short Answer

Expert verified
The implicit solution is \( \frac{|y|}{|y+1|} = \frac{|t-1|}{2} \).

Step by step solution

01

Separate Variables

Start by rearranging the differential equation to separate the variables, so all terms involving \( y \) are on one side and all terms involving \( t \) are on the other.Given: \( \frac{dy}{dt} = \frac{y^2 + y}{t-1} \).Separate variables to obtain:\[ \frac{dy}{y^2 + y} = \frac{dt}{t-1}. \]
02

Integrate Both Sides

Integrate both sides of the equation:For the left side: \( \int \frac{1}{y^2 + y} \, dy \).For the right side: \( \int \frac{1}{t-1} \, dt \).Right side: \[ \int \frac{1}{t-1} \, dt = \ln |t-1| + C_1 \].Left side requires partial fraction decomposition: \(\frac{1}{y^2 + y} = \frac{1}{y(y+1)} = \frac{A}{y} + \frac{B}{y+1} \).Solving gives \( A = 1 \) and \( B = -1 \). Integrate:\[ \int \left( \frac{1}{y} - \frac{1}{y+1} \right) \, dy = \ln |y| - \ln |y+1| + C_2. \]
03

Combine Results

Combine the integrated results:\[ \ln |y| - \ln |y+1| = \ln |t-1| + C. \]Where \( C = C_1 - C_2 \).
04

Use Initial Condition

Apply the initial condition \( y(0) = 1 \) to find \( C \).Substitute \( y = 1 \) and \( t = 0 \) into the equation:\[ \ln |1| - \ln |1+1| = \ln |0-1| + C. \]Simplifies to \(- \ln 2 = \ln 1 + C \) hence \( C = - \ln 2 \).
05

Solve Implicitly

Substitute \( C \) back into the equation:\[ \ln |y| - \ln |y+1| = \ln |t-1| - \ln 2. \]Rearrange to express implicitly:\[ \frac{|y|}{|y+1|} = \frac{|t-1|}{2}. \]

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Key Concepts

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

Separation of Variables
Differential equations often require techniques to simplify and solve them, and separation of variables is one of the most straightforward and powerful methods. In this technique, the goal is to rearrange the equation so that all terms involving one variable are on one side and those involving another variable are on the other side. This allows each variable by itself to be integrated separately.

In the given exercise, the differential equation is \( \frac{dy}{dt} = \frac{y^2 + y}{t-1} \). We start by separating the variables. The terms involving \( y \) are moved to one side, and those involving \( t \) to the other, leading to:
  • \( \frac{dy}{y^2 + y} = \frac{dt}{t-1} \)
Once separated, each side of the equation can be integrated separately. The beauty of this technique lies in its ability to transform a differential equation into integrable forms, making the problem more approachable.
Implicit Functions
After separation and integration, solutions to some differential equations cannot always be explicitly written as \( y = f(t) \). Instead, they might express a relationship between \( y \) and \( t \) without solving for one variable in terms of the other. These types of solutions are called implicit functions.

In our problem, after integration and applying the initial condition, we reached:
  • \( \ln |y| - \ln |y+1| = \ln |t-1| - \ln 2 \)
This expression doesn't solve for \( y \) explicitly as a function of \( t \). Rather, it indicates a relationship between \( y \) and \( t \). Such implicit solutions are often encountered in scenarios where equations are complex or when variables influence each other in non-linear ways. Implicit forms capture the essence of the solution even without direct separation of the dependent and independent variables.
Initial Conditions
Initial conditions offer specific information that helps narrow down possible solutions of differential equations. They are essential for finding a unique solution from a general solution set. An initial condition specifies the value of the unknown function at a particular point, for example when \( t = 0 \), \( y = 1 \).

In this example, the initial condition is \( y(0) = 1 \). By substituting \( y = 1 \) and \( t = 0 \) into our implicit equation:
  • \( \ln |1| - \ln |1+1| = \ln |0-1| + C \)
Upon simplifying, it helps find the constant \( C \). Initial conditions transform the general solution into one that fits a specific context or scenario, providing the particular solution which is essential in many real-world applications. Without initial conditions, differential equations would have a myriad of possible solutions.

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Most popular questions from this chapter

For Problems \(49-56\) determine whether the equilibrium at \(x=0\) is stable, unstable, or semi-stable. $$ \frac{d x}{d t}=x^{3} $$

Draw the vector field plot of the differential equation. Then, using the given initial conditions, sketch the solutions (i.e., draw a graph showing the dependent variable as a function of the independent variable). \(\frac{d N}{d t}=(N-1)(N+1)(N-4)\) (a) \(N(0)=0\), (b) \(N(0)=2\), (c) \(N(0)=6\), (d) \(N(0)=-2\).

The per capita growth rate of a population of cells varies over the course of a day. Assume that time \(t\) is measured in hours and $$ \frac{d N}{d t}=2\left(1-\cos \frac{2 \pi t}{24}\right) N $$ if \(N(0)=5\), find the number of cells after one day (that is, find \(N(24))\)

For make vector field plots of each of the differential equations. Find any equilibria of each differential equation and use your vector field plot to classify whether each equilibrium is stable or unstable. $$ \frac{d S}{d t}=\frac{1}{S}-\frac{1}{S^{5}}, S>0 $$

In Problems 13 and 14 we assumed that the per colony extinction rate was proportional to \(p .\) This means that the per colony extinction rate goes to 0 for small \(p .\) This may not be realisticsubpopulations may still go extinct even if they are not competing among themselves. One way to model this is to say that the per colony extinction rate is a function \(m(p)\) of \(p\). In Problems 15 and 16 we will assume that \(m(p)=a+b p\) for some constants \(a, b>0 .\) That is, the extinction rate increases with \(p\) because of competition between subpopulations, but \(m(p)\) does not vanish as \(p \rightarrow 0\). Then our model for proportion of occupied sites must be modified to: $$ \frac{d p}{d t}=c p(1-p)-(a+b p) p $$ where \(c, a, b\) are all positive constants. Assuming that the subpopulations obey the differential Equation (8.60) and the coefficients are \(a=1, b=2\), but \(c\) is allowed to take any value: (a) Find the equilibrium values of \(p\) (your answer will depend on the unknown coefficient \(c\) ). (b) What are the conditions on \(c\) for \(p\) to have a nontrivial equilibrium, that is, an equilibrium in which \(p \in(0,1] ?\) (c) Show that if your condition from (b) is met, then the nontrivial equilibrium is also stable.

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