Chapter 2: Problem 27
\(\frac{d y}{d x}=\frac{y^{2}+1}{x+2}\)
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Chapter 2: Problem 27
\(\frac{d y}{d x}=\frac{y^{2}+1}{x+2}\)
These are the key concepts you need to understand to accurately answer the question.
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(Pollution) Under normal atmospheric conditions, the density of soot particles \(N(t)\) satisfies the differential equation $$ \frac{d N}{d t}=-k_{c} N^{2}+k_{d} N, $$ where \(k_{c}\), called the coagulation constant, is a constant that relates to how well particles stick together; and \(k_{d}\), called the dissociation constant, is a constant that relates to how well particles fall apart. Both of these constants depend on temperature, pressure, particle size, and other external forces. \({ }^{3}\) (a) Find a general solution of this Bernoulli equation. (b) Find the solution that satisfies the initial condition \(N(0)=N_{0} \cdot\left(N_{0}>0\right)\) The following table lists typical values of \(k_{c}\) and \(k_{d}\). \begin{tabular}{l|l} \hline\(k_{c}\) & \(k_{d}\) \\ \hline 163 & 5 \\ 125 & 26 \\ 95 & 57 \\ 49 & 85 \\ 300 & 26 \\ \hline \end{tabular} (c) For each pair of values in the previous table, sketch the graph of \(N(t)\) if \(N(0)=N_{0}\) for \(N_{0}=0.01,0.05,0.1,0.5\), \(0.75,1,1.5\), and 2. Regardless of the ini-tial condition \(N(0)=N_{0}\), what do you notice in each case? Do pollution levels seem to be more sensitive to \(k_{c}\) or \(k_{d}\) ? Does your result make sense? Why? (d) Show that if \(k_{d}>0, \lim _{t \rightarrow \infty} N(t)=\) \(k_{d} / k_{c}\). Why is the assumption that \(k_{d}>\) 0 reasonable? (e) For each pair in the table, calculate \(\lim _{t \rightarrow \infty} N(t)=k_{d} / k_{c}\). Which situation results in the highest pollution levels? How could the situation be changed?
\(y\left(2 e^{t}+4 t\right) d t+3\left(e^{t}+t^{2}\right) d y=0\)
Show that if the differential equation \(d y / d t\) \(=f(t, y)\) is homogeneous, the equation can be written as \(d y / d t=F(y / t)\). (Hint: Let \(x=\) \(1 / t .)\)
(Integrating Factors) If the differential equation \(M(t, y) d t+N(t, y), d y=\) 0 is not exact, multiplying it by an appropriate function \(\mu(t, y)\) sometimes yields an exact equation. To find \(\mu(t, y)\), we use the fact that if the equation \(\mu(t, y) M(t, y) d t+\mu(t, y) N(t, y) d y\) \(=0\) is exact \((\mu M)_{y}=(\mu N)_{t}\). (a) Use the product rule to show that \(\mu\) must satisfy the differential equation \(\mu_{y} M-\mu_{t} N+\left(M_{y}-N_{t}\right) \mu=0\). (b) Use this equation to show that if \(\mu=\) \(\mu(t), \mu\) satisfies the differential equation \(\frac{d \mu}{d t}=\frac{M_{y}-N_{t}}{N} \mu, \quad\) where \(\quad \frac{M_{y}-N_{t}}{N}\) is a function of \(y\) only. (c) Show that if \(\mu=\mu(t)\), $$ \begin{aligned} \mu(t)=& \exp \left(\int \frac { 1 } { N ( t , y ) } \left[\frac{\partial M(t, y)}{\partial y}\right.\right.\\\ &\left.\left.-\frac{\partial N(t, y)}{\partial t}\right] d t\right) \end{aligned} $$ (d) If \(\mu=\mu(y)\), find a differential equation that \(\mu\) must satisfy and a restriction on \(\left(N_{t}-M_{y}\right) / M\). Show that $$ \begin{aligned} \mu(y)=& \exp \left(\int \frac { 1 } { M ( t , y ) } \left[\frac{\partial N(t, y)}{\partial t}\right.\right.\\\ &\left.\left.-\frac{\partial M(t, y)}{\partial y}\right] d y\right) \end{aligned} $$
\(y d t-(3 \sqrt{t y}+t) d y=0\)
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