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Consider the initial value problem $$ y^{\prime}+\frac{2}{3} y=1-\frac{1}{2} t, \quad y(0)=y_{0} \text { . } $$ Find the value of \(y_{0}\) for which the solution touches, but does not cross, the \(t\) -axis.

Short Answer

Expert verified
The value of y0 for which the solution touches but does not cross the t-axis is \(y0 = \frac{3}{2}+\frac{9}{8}\).

Step by step solution

01

Identify the ODE as linear and first-order

The given ODE is of the form $$ y^\prime + P(t)y = Q(t), $$ where \(P(t) = \frac{2}{3}\) and \(Q(t) = 1 - \frac{1}{2}t\). This is a linear first-order ODE.
02

Find the integrating factor

To find the integrating factor, we first need to find the function \(\mu(t)\). The \(\mu\) function is given by $$ \mu(t) = e^{\int P(t)dt}. $$ Here, \(P(t) = \frac{2}{3}\), so $$ \mu(t) = e^{\int \frac{2}{3} dt} = e^{\frac{2}{3}t}. $$
03

Multiply the ODE by the integrating factor

Multiply both sides of the given ODE by the integrating factor \(\mu(t) = e^{\frac{2}{3}t}\): $$ e^{\frac{2}{3}t}y^\prime + \frac{2}{3}e^{\frac{2}{3}t}y = \left(1 - \frac{1}{2}t\right)e^{\frac{2}{3}t}. $$
04

Integrate both sides with respect to t

Now, integrate both sides with respect to t: $$ \int \left(e^{\frac{2}{3}t}y^\prime + \frac{2}{3}e^{\frac{2}{3}t}y\right) dt = \int \left(1 - \frac{1}{2}t\right)e^{\frac{2}{3}t} dt. $$ The left side of the equation is the derivative of \(e^{\frac{2}{3}t}y\) and therefore integrating it gives: \(e^{\frac{2}{3}t}y\). To integrate the right side, we can use integration by parts: Let \(u = (1 - \frac{1}{2} t)\) and \(dv = e^{\frac{2}{3}t}dt\). Then, we have \(du = -\frac{1}{2}dt\) and \(v = \frac{3}{2}e^{\frac{2}{3}t}\). Using integration by parts, we get: $$ \int \left(1 - \frac{1}{2}t\right)e^{\frac{2}{3}t} dt = \left(1 - \frac{1}{2}t\right)\frac{3}{2}e^{\frac{2}{3}t} - \int \frac{3}{2}e^{\frac{2}{3}t}\left(-\frac{1}{2}\right)dt, $$ which simplifies to: $$ \int \left(1 - \frac{1}{2}t\right)e^{\frac{2}{3}t} dt = \left(1 - \frac{1}{2}t\right)\frac{3}{2}e^{\frac{2}{3}t} + \frac{3}{4}\int e^{\frac{2}{3}t}dt = \left(1 - \frac{1}{2}t\right)\frac{3}{2}e^{\frac{2}{3}t} + \frac{9}{8}e^{\frac{2}{3}t}. $$ From these integrations, we get: $$ e^{\frac{2}{3}t}y = \left(1 - \frac{1}{2}t\right)\frac{3}{2}e^{\frac{2}{3}t} + \frac{9}{8}e^{\frac{2}{3}t} + C, $$ where C is the constant of integration.
05

Solve for y(t)

Divide both sides by \(e^{\frac{2}{3}t}\) to find the general solution for y(t): $$ y(t) = \left(1 - \frac{1}{2}t\right)\frac{3}{2} + \frac{9}{8} + Ce^{-\frac{2}{3}t}. $$
06

Apply the initial condition y(0) = y0

To find the value of C, plug in the initial condition, \(y(0) = y0\): $$ y0 = \left(1 - \frac{1}{2}(0)\right)\frac{3}{2} + \frac{9}{8} + Ce^{-\frac{2}{3}(0)}. $$ Simplifying, we get: $$ y0 = \frac{3}{2} + \frac{9}{8} + C. $$ Solving for C, we have: $$ C = y0 - \frac{3}{2} - \frac{9}{8}. $$ Putting the value of C in the general solution, we get: $$ y(t) = \left(1 - \frac{1}{2}t\right)\frac{3}{2} + \frac{9}{8} + \left(y0 - \frac{3}{2} - \frac{9}{8}\right)e^{-\frac{2}{3}t}. $$
07

Find y0 such that y(t) touches but does not cross the t-axis

We know that y(t) touches the t-axis when \(y(t) = 0\). Let's solve for y0 by setting y(t) equal to zero and t equal to a specific value \(t_1\): $$ 0 = \left(1 - \frac{1}{2}t_1\right)\frac{3}{2} + \frac{9}{8} + \left(y0 - \frac{3}{2} - \frac{9}{8}\right)e^{-\frac{2}{3}t_1}. $$ We can see that the function inside the exponent, \(e^{-\frac{2}{3}t_1}\), is always positive. This means that the solution will neither touch nor cross the t-axis if the term inside the parentheses is not equal to zero. Hence: $$ y0 - \frac{3}{2} - \frac{9}{8} = 0. $$ Solving for y0, we get $$ y0 = \frac{3}{2} + \frac{9}{8}. $$ The value of y0 for which the solution touches but does not cross the t-axis is \(y0 = \frac{3}{2}+\frac{9}{8}\).

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Key Concepts

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

Linear First-Order ODE
A linear first-order ordinary differential equation (ODE) is a pivotal concept in calculus and its applications. It represents a relationship where the rate of change of a function, denoted as y'(t), is a linear function of the variable y itself.

An important characteristic of these ODEs is their standard form, which is written as:
\[ y'(t) + P(t)y = Q(t) \]
Here, P(t) and Q(t) are known functions of the independent variable t. The solution to a linear first-order ODE involves finding the function y(t) that satisfies this equation under given conditions.

Our textbook problem falls into this category, with P(t) equating to \(\frac{2}{3}\) and Q(t) to \(1 - \frac{1}{2}t\). Understanding the structure of the ODE is crucial because it guides us to the appropriate method for finding its solution, which, in this case, involves the use of an integrating factor.
Integrating Factor
The integrating factor is an ingenious technique used to solve linear first-order ODEs. It involves creating a new function μ(t) that transforms the original ODE into an exact differential equation, making it more manageable to integrate and solve.

The formula for the integrating factor is:
\[ \mu(t) = e^{\int P(t)dt} \]
Applying this to our problem, with P(t) being a constant \(\frac{2}{3}\), we find the integrating factor to be \( e^{\frac{2}{3}t} \). By multiplying the entire ODE by this factor, we facilitate the integration process, because it turns the left side of the equation into the derivative of \(e^{\frac{2}{3}t} y\), which can be integrated directly.

It's the integrating factor that allows us to proceed from the given ODE to its solution, by cleverly simplifying the equation. The proper choice of integrating factor is critical as it ensures the solvability of an ODE where direct integration is not feasible.
Boundary Conditions
Boundary conditions in differential equations are additional pieces of information that specify the value of the solution at a certain point. They are essential for determining the specific solution of an ODE from a family of possible solutions.

In initial value problems like the one given, the boundary condition is provided in the form of an initial value, y(0) in our case, labeled as y0. This initial condition anchors the solution to a specific starting point. Utilizing the initial condition allows us to solve for the constant of integration C that arises when integrating the ODE.

For the solution to touch but not cross the t-axis, we exploit the fact that boundary conditions can tell us where the function y(t) achieves certain behaviors — in this problem, where y(t) equals zero. From this, we deduce the value of y0 such that the solution graph just grazes the t-axis without dipping below. This integration constant and boundary condition interplay is crucial for modeling real-world phenomena where initial states often dictate the evolution of a system.

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Most popular questions from this chapter

draw a direction field and plot (or sketch) several solutions of the given differential equation. Describe how solutions appear to behave as \(t\) increases, and how their behavior depends on the initial value \(y_{0}\) when \(t=0\). $$ y^{\prime}=t y(3-y) $$

Involve equations of the form \(d y / d t=f(y) .\) In each problem sketch the graph of \(f(y)\) versus \(y\), determine the critical (equilibrium) points, and classify each one as asymptotically stable, unstable, or semistable (see Problem 7 ). $$ d y / d t=y^{2}(1-y)^{2}, \quad-\infty

Use the technique discussed in Problem 20 to show that the approximation obtained by the Euler method converges to the exact solution at any fixed point as \(h \rightarrow 0 .\) $$ y^{\prime}=2 y-1, \quad y(0)=1 \quad \text { Hint: } y_{1}=(1+2 h) / 2+1 / 2 $$

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 $$ y^{\prime}+p(t) y=q(t) y^{n} $$ 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). \(y^{\prime}=r y-k y^{2}, r>0\) and \(k>0 .\) This equation is important in population dynamics an is discussed in detail in Section 2.5 .

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. Some diseases (such as typhoid fever) are spread largely by carriers, individuals who can transmit the disease, but who exhibit no overt symptoms. Let \(x\) and \(y,\) respectively, denote the proportion of susceptibles and carriers in the population. Suppose that carriers are identified and removed from the population at a rate \(\beta,\) so $$ d y / d t=-\beta y $$ Suppose also that the disease spreads at a rate proportional to the product of \(x\) and \(y\); thus $$ d x / d t=\alpha x y $$ (a) Determine \(y\) at any time \(t\) by solving Eq. (i) subject to the initial condition \(y(0)=y_{0}\). (b) Use the result of part (a) to find \(x\) at any time \(t\) by solving Eq. (ii) subject to the initial condition \(x(0)=x_{0}\). (c) Find the proportion of the population that escapes the epidemic by finding the limiting value of \(x\) as \(t \rightarrow \infty\).

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