When you finish this section, you should be able to:
In this section, we solve first-order linear differential equations and Bernoulli differential equations. These differential equations occur in the study of free fall with air resistance, flow rates in mixtures, and logistic equations.
1078
We use integrating factors to solve first-order linear differential equations. Recall that a first-order differential equation is linear if it can be written in the form \[\bbox[5px, border:1px solid black, #F9F7ED]{\bbox[#FAF8ED,5pt] {\dfrac{dy}{dx}+P(x)\,y=Q(x)}} \tag{1} \]
where the functions \(P\) and \(Q\) are continuous on their domains.
For example, the differential equation \[ \frac{dy}{dx}-\frac{3}{x}y=x^{2} \]
is a first-order linear differential equation.
In the differential equation (1), either \(Q( x) =0\) or \(Q( x) \neq 0\). If \(Q( x) =0\), then \(\dfrac{dy}{dx}+P( x) y=0\), and the differential equation is separable: \[\bbox[5px, border:1px solid black, #F9F7ED]{\bbox[#FAF8ED,5pt] {\dfrac{dy}{y}+P(x)\,dx=0}} \]
The general solution of this differential equation is \[\bbox[5px, border:1px solid black, #F9F7ED]{\bbox[#FAF8ED,5pt] {\ln \left\vert y\right\vert + \int \!P(x)\,dx=C}} \]
Problem 5.
If \(Q(x)\neq 0\), we solve (1) by multiplying by the integrating factor \[\bbox[5px, border:1px solid black, #F9F7ED]{\bbox[#FAF8ED,5pt]{ e^{\int P(x)\,dx} = \exp\left[\int P(x)\,dx\right] }} \] \[ \begin{eqnarray*} \dfrac{dy}{dx}+P(x)\,y &=&Q(x) \qquad\qquad\quad {\color{#0066A7}{\hbox{Equation (1)}, Q(x) \neq 0.}} \\ \frac{dy}{dx}e^{\int \!P(x)\,dx}+P(x)ye^{\int \!P(x)\,dx} &=&Q(x)e^{\int \!P(x)\,dx} \qquad {\color{#0066A7}{\hbox{Multiply (1) by exp }\left[\int \!P(x)\,dx\right].}} \end{eqnarray*} \]
The left side of this equation equals \(\dfrac{d}{dx}\!\left( y\cdot e^{\int \!P(x)\,dx}\right) \), so \[ \begin{equation*} \frac{d}{dx}\!\left( y\cdot e^{\int \!P(x)\,dx}\right) =Q(x)e^{\int \!P(x)\,dx} \end{equation*} \]
Now we integrate to obtain \[ \begin{equation*} {y\cdot e^{\int \!P(x)\,dx}=\int Q(x)e^{\int \!P(x)\,dx}dx+C} \tag{2} \end{equation*} \]
The general solution of the differential equation \(\dfrac{dy}{dx} +P(x)\,y=Q(x)\), \(Q( x) \neq 0\), is found by finding the integrals in (2) and solving for \(y\).
Find the general solution of the first-order linear differential equation \[ \frac{dy}{dx}+\frac{x}{x^{2}+1}y=\dfrac{x^{3}}{1+x^{2}} \]
Solution Compare the differential equation to (1). Since \(P(x)= \dfrac{x}{x^{2}+1}\), the integrating factor is \[ \begin{equation*} e^{\int \!P( x)\,dx} = \exp\; \left[{\int {\frac{x}{x^{2}+1}}\,dx}\right]= \exp \left[{\frac{1}{2} \ln ( x^{2}+1) }\right] = \exp\; \Big[{\ln ( x^{2}+1) ^{1/2}}\Big]= \sqrt{x^{2}+1} \end{equation*} \]
1079
Now we multiply the differential equation by \(\sqrt{x^{2}+1}\) and obtain \[ \begin{equation*} \sqrt{x^{2}+1}\,\frac{dy}{dx}+\dfrac{x}{\sqrt{x^{2}+1}}y=\dfrac{x^{3}}{\sqrt{ x^{2}+1}} \end{equation*} \]
The left side of the above equation is the derivative of \(\sqrt{x^{2}+1}\,y\), so we can write \[ \begin{equation*} \dfrac{d}{dx}\big( \sqrt{x^{2}+1}\,y\big) =\dfrac{x^{3}}{\sqrt{x^{2}+1}} \end{equation*} \]
Integrating both sides, we find \[ \begin{eqnarray*} \sqrt{x^{2}+1}\,y &=&\int \dfrac{x^{3}}{\sqrt{x^{2}+1}}\,dx \underset{\color{#0066A7}{\textrm{Let} \,u\,=\,x^{2}+1,\,du\,=\,2x\,dx}}{\underset{\color{#0066A7}\uparrow }{=}} \dfrac{1}{2}\int \dfrac{ \left( u-1\right) }{\sqrt{u}}\,du=\dfrac{1}{2}\int \big( {u^{1/2}}- {u^{-1/2}}\big)\,du \\ &=&\dfrac{1}{2}\left( \dfrac{u^{3/2}}{\dfrac{3}{2}}-\dfrac{u^{1/2}}{\dfrac{1 }{2}}\right) +C=\dfrac{( x^{2}+1) ^{3/2}}{3}-(x^{2}+1)^{1/2}+C \\ y &=&\dfrac{x^{2}+1}{3}-1+\dfrac{C}{\sqrt{x^{2}+1}}\qquad\color{#0066A7}{{\hbox{Solve for }y.}} \end{eqnarray*} \]
and we have the general solution to the differential equation.
Problem 9.
Free Fall with Air Resistance
In Chapter 4, we saw that if air resistance is ignored, then the position \(s=s(t)\) at time \(t\) of an object with mass \(m\) in free fall obeys the equation \[ \begin{equation*} ma=-mg \end{equation*} \]
where \(a=\dfrac{d^{2}s}{dt^{2}}\) and \(g\) is the acceleration due to gravity.
A more realistic model of the motion of an object in free fall accounts for the effect of air resistance. A common assumption is that air resistance exerts a force proportional to the speed \(v\) of the object and opposite to the motion of the object. With this assumption, the motion of an object of mass \(m\) in free fall is described by the differential equation \[\bbox[5px, border:1px solid black, #F9F7ED]{\bbox[#FAF8ED,5pt] {m\dfrac{d^{2}s}{dt^{2}}=-mg-kv}} \]
where \(k>0\) is the constant of proportionality and depends on the particular object and certain air properties. For example, a sheet of paper has a much larger constant of proportionality than a solid lead ball has. Since \(v= \dfrac{ds}{dt}\), the second-order differential equation becomes \[ \begin{equation*} m\frac{dv}{dt}=-mg-kv \end{equation*} \] \[\bbox[5px, border:1px solid black, #F9F7ED]{\bbox[#FAF8ED,5pt] {\dfrac{dv}{dt}+\dfrac{k}{m}v=-g}} \]
1080
This is a first-order linear differential equation. To solve the differential equation, we multiply both sides by the integrating factor \(\exp \left[{\int {\dfrac{k}{m}\,dt}}\right]= \exp \left[{{\dfrac{k}{m}t}}\right]= e^{kt/m}\). \[ \begin{eqnarray*} e^{{{kt/m}}}\dfrac{dv}{dt}+e^{{{kt/m}}}\frac{k}{m} v &=&-g e^{{{kt/m}}} \\[4pt] \dfrac{d}{dt}\left[v e^{{{kt/m}}}\right] &=&-ge^{{{kt/m}}} \\ ve^{{{kt/m}}} &=&-g\int e^{{{kt/m}}}\, dt =-\dfrac{mg }{k}e^{{{kt/m}}}+C \quad\qquad\;\; \color{#0066A7}{\hbox{Integrate both sides.}} \\ v &=&\dfrac{-\dfrac{mg}{k}e^{{{kt/m}}}+C}{e^{{{kt/m}}}}=-\dfrac{mg}{k}+Ce^{{{-kt/m}}}\qquad\color{#0066A7}{\hbox{Solve for }v}. \end{eqnarray*} \]
The general solution is \[ \begin{equation*} v(t)=-\frac{mg}{k}+Ce^{{{-kt/m}}} \end{equation*} \]
If the object has initial velocity \(v_{0}\), then \[ \begin{equation*} v_{0}=v( 0) =-\frac{mg}{k}+C,\qquad\hbox{so}\qquad C=v_{0}+\dfrac{ mg}{k} \end{equation*} \]
Then \[ \begin{equation*} \bbox[5px, border:1px solid black, #F9F7ED]{\bbox[#FAF8ED,5pt] {v(t)=-\dfrac{mg}{k}+\left( v_{0}+\dfrac{mg}{k}\right) e^{-kt/m}}} \tag{3} \end{equation*} \]
Notice that \(\lim\limits_{t\rightarrow \infty }v(t)=-\dfrac{mg}{k}\). That is, the limiting velocity of a freely falling object depends only on the mass of the body and the constant of proportionality \(k\).
A parachuter and his parachute together weigh \(192 {\rm lb}\). At the instant the parachute opens, he is falling at 150 feet per second (ft/s). Suppose the air resistance exerts a force of 200 lb when the parachuter’s speed is 20 ft/s.
Solution (a) In the U.S. customary system of units, length is measured in feet, weight in pounds, time in seconds, and \(g\approx 32\;\rm{ft}/\rm{s}^{2}\). The mass \(m\) of the parachuter and his parachute obeys \(mg=\hbox{weight}=192\;\rm{lb}\).
Remember that with falling objects, the positive direction is up, so \(v_0 = v(0) =-150\;\rm{ft}/\!\rm{s}\).
Since the air resistance is \(200\;\rm{lb}\) when the speed is \(20\;\rm{ft}/\rm{s}\), \[ \begin{eqnarray*} 200& =&k\cdot 20\qquad\color{#0066A7}{{F=kv}; \hbox{force is proportional to speed.}} \\ k& =&10 \end{eqnarray*} \]
From (3), the velocity of the parachuter at time \(t\) after the parachute opens is \[ \begin{eqnarray*} v(t) &=&-\frac{mg}{k}+\left( v_{0}+\frac{mg}{k}\right) e^{{{-kt/m}}} \\ v(t) &=&-\frac{192}{10}+\left( -150+\frac{192}{10}\right) e^{{{-10t/6}}}\qquad\color{#0066A7}{{v}_{0}=-150; mg=192; g=32; k=10.} \\ v(t) &=&-19.2-130.8e^{{{-5t/3}}} \end{eqnarray*} \]
1081
After \(3\) seconds, the parachuter’s velocity is \[ \begin{equation*} v(3)=-19.2-130.8e^{-5}\approx -20.081\;\rm{ft}/\!\rm{s} (13.692 \;\rm{mi}/\!\rm{h}) \end{equation*} \]
(b) The limiting velocity is \(\lim\limits_{t\rightarrow \infty }v(t)=-\dfrac{mg}{k}=-19.2\;\rm{ft}/\rm{s} (13.091\;\rm{mi}/\rm{h} )\).
Problem 47.
Flow Rate in Mixtures
A large tank contains \(81\;\rm{gal}\) of brine in which \(20\;\rm{lb}\) of salt are dissolved. Brine containing \(3\;\rm{lb}\) of dissolved salt per gallon runs into the tank at the rate of \(5\;\rm{gal}/\rm{min}\). The mixture, kept uniform by stirring, drains from the tank at the rate of \(2 \;\rm{gal}/\rm{min}\). How much salt is in the tank at the end of \(37 \;\rm{min}\)? See Figure 6.
Solution Let \(y(t)\) be the amount of salt in the tank at time \(t\) . The rate of change \(\dfrac{dy}{dt}\) of salt in the tank at time \(t\) is the rate at which salt enters the tank minus the rate at which salt leaves the tank. Salt enters the tank at the rate of \(\left( 3\;\rm{lb}/\rm{gal}\right) \left(5\;\rm{gal}/\rm{min}\right) =15\;\rm{lb}/\rm{min}\).
To find the rate at which the salt exits the tank, we first need to find the concentration of salt in pounds per gallon at time \(t\). \[ \begin{equation*} \hbox{Concentration}=\dfrac{\hbox{amount of salt}}{\hbox{number of gallons}}= \frac{y(t)}{81+(5-2)t}=\dfrac{y( t) }{81+3t}\;\rm{lb}/\rm{gal} \end{equation*} \]
Then the rate at which the salt exits the tank is \[ \begin{equation*} \left( \dfrac{y( t) }{81+3t}\;\rm{lb}/\rm{gal}\right) \left( 2 \;\rm{gal}/\rm{min}\right) =\dfrac{2y( t) }{81+3t}\;\rm{lb}/\rm{min} \end{equation*} \]
The mixture problem is modeled by the differential equation \[ \begin{eqnarray*} \dfrac{dy}{dt}=\hbox{rate in }-\hbox{rate out}&=&15-\frac{2y( t) }{ 81+3t}\\ \dfrac{dy}{dt}+\frac{2}{3( 27+t) }y&=&15 \end{eqnarray*} \]
This is a first-order linear differential equation. We use the integrating factor: \[ \begin{eqnarray*} e^{\int \!P( t)\,dt}&=&\exp \!\left[ \int \!\dfrac{2}{3( 27+t) } dt\right] =\exp \!\left[ \dfrac{2}{3}\ln ( 27+t) \right]\\ &=&\exp\,[ \ln ( 27+t) ^{2/3}] =(27+t)^{2/3} \end{eqnarray*} \]
We multiply the differential equation by the integrating factor to obtain \[ \begin{eqnarray*} (27+t)^{2/3}\dfrac{dy}{dt}+\dfrac{2y}{3( 27+t) ^{1/3}} &=&15(27+t)^{2/3} \\ \frac{d}{dt}[y(t)(27+t)^{2/3}] &=&15(27+t)^{2/3} \end{eqnarray*} \]
Now we integrate both sides with respect to \(t\).
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Next we use the initial condition that \(y( 0) =20\;\rm{lb}\). Then \[ \begin{eqnarray*} y( 0) &=&20=9(27)+C(27)^{-2/3}\\ -223 &=&\dfrac{C}{9} \\ C &=&-2007 \end{eqnarray*} \]
The amount of salt \(y( t) \) in the brine at time \(t\) min is \[ \begin{equation*} y(t)=9(27+t)-2007(27+t)^{-2/3} \end{equation*} \]
The amount of salt in the tank at the end of \(37\;\rm{min}\) is \[ y(37)=9(27+37)-2007(27+37)^{-2/3}\approx 451\;\rm{lb} \]
Problem 49.
The equation \[ \begin{equation*} \bbox[5px, border:1px solid black, #F9F7ED]{\bbox[#FAF8ED,5pt] {\dfrac{dy}{dx}+P(x)y=Q(x)y^{n}\qquad n\neq 0\quad n\neq 1}} \tag{4} \end{equation*} \]
where \(P\) and \(Q\) are functions of \(x\) only, is called a Bernoulli equation, named for Jakob Bernoulli who studied it in 1695.
Jakob (or James) Bernoulli (1654–1705) was a Swiss mathematician. Jakob was one of eight family members, in three generations of Bernoullis, who made major contributions to mathematics and physics.
If we multiply both sides of (3) by \(y^{-n}\) and make a judicious substitution, we obtain a first-order linear differential equation. First, we multiply (3) by \(y^{-n}\): \[ \begin{equation*} y^{-n}\frac{dy}{dx}+P(x)y^{-n+1}=Q(x) \tag{5} \end{equation*} \]
Now we use the substitution \(v=v( x) =y^{-n+1}\). Then \(\dfrac{dv}{ dx}=(1-n)y^{-n}\dfrac{dy}{dx}\). Since \(n\neq 0\) and \(n\neq 1\), we can write \(y^{-n}\dfrac{dy}{dx}=\dfrac{1}{1-n}\dfrac{dv}{dx}\). Then (4) becomes \[ \begin{eqnarray*} \frac{1}{1-n}\frac{dv}{dx}+P(x)v &=&Q(x) \\ \frac{dv}{dx}+(1-n)P(x)v &=&(1-n)Q(x) \qquad \color{#0066A7}{\hbox{Multiply by }1-n.} \end{eqnarray*} \]
This is a first-order linear differential equation in \(v=v( x) \).
We use the following steps to solve a Bernoulli equation:
\[ \dfrac{dy}{dx}+P(x)y=Q(x)y^{n}\qquad n\neq 0\quad n\neq 1 \]
Step 1 Multiply both sides of the equation by \(y^{-n}\). [This isolates \(Q( x) \) on the right.]
Step 2 Let \(v=v( x) =y^{-n+1}\). Then \(\dfrac{dv}{dx}=(1-n)y^{-n}\dfrac{dy}{dx}\).
Step 3 Substitute \(v\) and \(\dfrac{1}{1-n}\dfrac{dv}{dx}\) into \(y^{-n}\dfrac{dy}{dx}+ P(x)y^{-n+1} =Q(x)\).
Step 4 Find the general solution of the resulting first-order linear differential equation.
Step 5 Rewrite the general solution in terms of the original variables \(x\) and \(y\).
1083
Find the general solution of the differential equation \[ \begin{equation*} \frac{dy}{dx}=4y+2e^{x}y^{1/2} \end{equation*} \]
Solution We begin by writing the equation in the form of (3): \[ \begin{equation*} \frac{dy}{dx}-4y=2e^{x}y^{1/2} \end{equation*} \]
This is a Bernoulli differential equation with \(P(x)=-4\), \(Q(x)=2e^{x}\), and \(n=\dfrac{1}{2}\). Then we follow the steps for solving a Bernoulli equation.
Step 1 Multiply the differential equation by \(y^{-1/2}\) to obtain \[ \begin{equation*} y^{-1/2}\frac{dy}{dx}-4y^{1/2}=2e^{x} \end{equation*} \]
Step 2 Let \(v=v( x) =y^{1/2}\). Then \(\dfrac{dv}{dx}= \dfrac{1}{2}y^{-1/2}\dfrac{dy}{dx}\).
Step 3 Substitute \(v\) and \(\dfrac{dv}{dx}\) into \(y^{-1/2}\dfrac{dy }{dx}-4y^{1/2}=2e^{x}\). \[ \begin{eqnarray*} 2\dfrac{dv}{dx}-4v& =&2e^{x} \\ \dfrac{dv}{dx}-2v& =&e^{x} \end{eqnarray*} \]
This is a first-order linear differential equation in \(x\) and \(v\).
Step 4 Multiply the differential equation by the integrating factor \(e^{\int -2\,dx}=e^{-2x}\). \[ \begin{eqnarray*} e^{-2x}\dfrac{dv}{dx}-2e^{-2x}v& =&e^{-x} \\ \dfrac{d}{dx}(e^{-2x}v)& =&e^{-x} \\ e^{-2x}v& =&\int e^{-x}dx=-e^{-x}+C\quad C > 0 \\ v& =&Ce^{2x}-e^{x} \end{eqnarray*} \]
Step 5 Using \(v=y^{1/2}\), we write the solution in terms of \(x\) and \(y\). \[ \begin{eqnarray*} y^{1/2}& =&Ce^{2x}-e^{x} \\ y& =&(Ce^{2x}-e^{x})^{2} \end{eqnarray*} \]
Since \(e^{-2x} v + e^{-x} > 0\), then \(C > 0\).
Problem 25.
Logistic Growth
In the mid-nineteenth century, the Belgian mathematical biologist Pierre F. Verhulst (1804–1849) used the differential equation \[\bbox[5px, border:1px solid black, #F9F7ED]{\bbox[#FAF8ED,5pt] {\dfrac{dy}{dt}=ky(M-y)}} \]
where \(k\) and \(M\) are positive constants, to predict the human population of various countries. Verhulst referred to the model as logistic growth. Because of this, the equation is known as the logistic differential equation and its solutions are called logistic functions.
1084
Rewrite the differential equation as \[\bbox[5px, border:1px solid black, #F9F7ED]{\bbox[#FAF8ED,5pt] {\dfrac{dy}{dt}=kMy-ky^{2}}} \]
where the first term on the right side, \(kMy\), is a growth term and the second term, \(-ky^{2}\), is an “inhibition” or “competition” term that impedes growth.
The logistic differential equation \(\dfrac{dy}{dt}=kMy-ky^{2}\) is a Bernoulli differential equation: \[ \begin{equation*} \dfrac{dy}{dt}-kMy=-ky^{2} \end{equation*} \]
where \(P( t) =-kM\), \(Q( t) =-k\), and \(n=2\). To solve it, we follow the steps for solving a Bernoulli equation.
Step 1 Multiply by \(y^{-n}=y^{-2}\). \[ \begin{equation*} y^{-2}\dfrac{dy}{dt}+( -kM) y^{-1}=-k \end{equation*} \]
Step 2 Let \(v=y^{-1}\). Then \(\dfrac{dv}{dt}=-y^{-2}\dfrac{dy}{dt}\).
Step 3 Substitute \(v\) and \(\dfrac{dv}{dt}\) into \(y^{-2}\dfrac{dy}{dt} -kMy^{-1}=-k\). \[ \begin{eqnarray*} -\dfrac{dv}{dt} -kM v &=&-k \\ \dfrac{dv}{dt}+kMv &=&k \end{eqnarray*} \]
Step 4 Multiply by the integrating factor \(e^{\int \!P( t)\,dt}=e^{\int kM\,dt}=e^{{kMt}}\). \[ \begin{eqnarray*} e^{{kMt}}\dfrac{dv}{dt}+e^{{kMt}}kMv &=&ke^{{kMt}}\\ \dfrac{d}{dt} [e^{{kMt}}v] &=&ke^{{kMt}} \\ e^{{kMt}}v &=&k\int e^{{kMt}}dt=\dfrac{1}{M}e^{{kMt}}+C \end{eqnarray*} \]
Step 5 Using \(v=y^{-1}\), we rewrite the solution in terms of \(y\). \[ \begin{eqnarray*} e^{{kMt}}\dfrac{1}{y} &=&\dfrac{1}{M}e^{{kMt}}+C\qquad \color{#0066A7}{v=y^{-1} =\tfrac{1}{y}} \\ y(t) &=&\dfrac{e^{{kMt}}}{\dfrac{1}{M}e^{{kMt}}+C}=\frac{ Me^{{kMt}}}{e^{{kMt}}+MC}=\dfrac{M}{1+MCe^{-{kMt}} } \end{eqnarray*} \]
If we assume that the initial condition is \(y(0)=R\), \(\ 0\leq R<M\), then \(R= \dfrac{M}{1+MC}\) or \(C=\dfrac{M-R}{RM}\) and \[\bbox[5px, border:1px solid black, #F9F7ED]{\bbox[#FAF8ED,5pt] {y(t)=\dfrac{RM}{R+(M-R)e^{-kMt}}}} \tag{6} \]
Equation (5) is called a logistic function.
The graph of a logistic equation has a distinct “s” shape. See Figure 7. Since \(\lim\limits_{t\rightarrow \infty }y(t)=M\), \(M\) is called the carrying capacity of the logistic function.
Logistic equations have various applications:
1085
Daniel Bernoulli (1700–1782) was the nephew of Jakob Bernoulli and son of mathematician Daniel Bernoulli. Daniel, the son, was a medical doctor and a mathematician who did much work with Leonhard Euler (1707–1783). In 1760 Daniel Bernoulli used what is now called the logistic equation to study the spread of smallpox.
An influenza epidemic is spreading throughout a population of \(50,000\) people at a rate that is proportional to the product of the number of infected people and the number of noninfected people. Suppose that \(100\) people were infected initially and \(1000\) were infected after \(10\) days.
Solution (a) If \(y=y( t) \) is the number of people infected at time \(t\), then \[ \begin{equation*} \dfrac{dy}{dt}=ky( 50,000-y) \tag{7} \end{equation*} \]
where \(k\) is the constant of proportionality. As given in equation (5), the solution is \[ \begin{eqnarray*} y(t)&=&\frac{100(50,000)}{100+(50,000-100) e^{-50,000kt}}\qquad \color{#0066A7}{R=100,\quad M=50,000}\\ &=&\frac{100(50,000)}{100+49,900e^{-50,000kt}} =\frac{50,000}{1+499e^{-50,000kt}} \end{eqnarray*} \]
We find \(k\) from the boundary condition \(y(10)=1000\). Then \[ \begin{eqnarray*} 1000& =&\frac{50,000}{1+499e^{-500,000k}} \\ 499e^{-500,000k}& =&49 \\ -500,000k& =&\ln \left( \frac{49}{499}\right) \\ k& \approx &0.00000464=4.64 \times 10^{-6} \end{eqnarray*} \]
1086
So, \[ \begin{equation*} y(t)=\frac{50,000}{1+499e^{-0.232t}} \end{equation*} \]
Half the population is infected when \(y(t)=25,000\). \[ \begin{eqnarray*} 25,000& =&\dfrac{50,000}{1+499e^{-0.232t}} \\ 1+499e^{-0.232t}& =&2 \\ e^{-0.232t}& =&\frac{1}{499} \\ t& =&\frac{\ln \dfrac{1}{499}}{-0.232}\approx 27 \hbox{days} \end{eqnarray*} \]
Half the population is infected in approximately \(27\) days.
(b) The time \(t\) we seek is the inflection point of \(y=y( t) \). We need to find \(t\) so that \(y^{\prime \prime} ( t) =0\). \[ \begin{eqnarray*} y^{\prime} ( t) &=&ky( 50,000-y) =k( 50,000y-y^{2})\qquad \color{#0066A7}{{(6)}} \\ y^{\prime \prime} &=&k( 50,000y^{\prime} -2yy^{\prime} ) =0 \\ 2y &=&50,000 \\ y &=&25,000 \end{eqnarray*} \]
From (a), \(y=25,000\) when \(t=27\). That is, on Day \(27\), the rate of infection stops increasing and begins to decrease.
Problem 51.