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Section 2.4

Problem 2

\(\tan\) is discontinuous at odd multiples of \(\frac{\pi}{2}\), since \(\frac{\pi}{2} < \pi < \frac{3\pi}{2}\), the interval is \((\frac{\pi}{2}, \frac{3\pi}{2})\).

Problem 4

Dividing both sides by \(\ln(t)\) yields \begin{equation*} y' + \frac{y}{\ln(t)} = \frac{\cot(t)}{\ln(t)} \end{equation*} for \(\ln(t) \neq 0 \iff t \neq 1\). \(\cot(t)\) forces out \(t\) to be in the range \((0, \pi)\). By finding the intersection of those constraints, we get an interval \((1, \pi)\).

Problem 14

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Based on the direction field and on the differential equation, for \(y_0 < 0\), the slopes eventually become negative, therefore tend to \(-\infty\). If \(y_0=0\), then we get an equilibrium solution. Note that slopes are zero along the curves \(y=0\) and \(ty = 3\).

Problem 16

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Solutions with \(t_{0}<0\) all tend to \(-\infty\). Solutions with initial conditions \(\left(t_{0}, y_{0}\right)\) to the right of the parabola \(t=1+y^{2}\) asymptotically approach the parabola as \(t \rightarrow \infty\). Integral curves with initial conditions above the parabola (and \(\left.y_{0}>0\right)\) also approach the curve. The slopes for solutions with initial conditions below the parabola (and \(\left.y_{0}<0\right)\) are all negative. These solutions tend to \(-\infty\).

Problem 27 [FOR GRADE]

The solution of the initial value problem \begin{equation*} y_1'+2y_1=0, \quad y_1(0) = 1 \end{equation*} is \(y_1(t) = e^{-2t}\). Therefore by approaching to \(1\) from the left side (\(1^-\) notation), we get \(y(1^-) = y_1(1) = e^{-2}\). On the interval \((1, \infty)\), the differential equation is \(y_2'+y_2=0\) with \(y_2(t)=ce^{-t}\). Therefore by approaching \(1\) from the right side (notationally \(1^+\)), we see \(y(1^+)=y_2(1)=ce^{-1}\). Equating both the limits of the function \begin{align*} y(1^-) = y(1^+) \iff c = e^{-1} \end{align*} Therefore the global solution is \begin{equation*} y(t) = \begin{cases} e^{-2t}, \quad 0 \leq t \leq 1\\ e^{-1-t}, \quad t > 1 \end{cases} \end{equation*}

Problem 28

The Eleventh Edition (latest) of the book doesn’t have this problem.

Section 2.6

Problem 3 [FOR GRADE]

They have the form \(M(x,y) + N(x,y) \frac{dy}{dx} = 0\). So \begin{align*} M(x,y) = 3x^2-2xy+2 \quad \text{and} \quad N(x,y) = 6y^2-x^2+3 \end{align*} Then we see \(\frac{\partial M}{\partial y} = -2x\) and \(\frac{\partial N}{\partial x} = -2x\). Therefore, our equation is of exact form. So our solution \(F_x = M \implies F = \int M dx = x^3 - x^2y + 2x + g(y)\). Then \begin{equation*} F_y = -x^2+g'(y) = N \implies g'(y) = 6y^2+3 \implies g(y)=2y^3 + 3y \end{equation*} Finally, \begin{equation*} F = x^3 - x^2y + 2x +2y^3 + 3y = C \end{equation*}

Problem 5

\begin{align*} \frac{dy}{dx} = - \frac{ax-by}{bx-cy} \\ \iff (ax-by)dx + (bx-cy)dy = 0 \end{align*} Now, \(M = ax-by\) and \(N = bx -cy\). See that \begin{align*} M_y = -b \neq N_x = b \end{align*} The differential equation is not exact.

Problem 13

Integrating \(\psi_{y}=N\), while holding \(x\) constant, yields \(\psi(x, y)=\int N(x, y) d y+h(x)\) Taking the partial derivative with respect to \(x, \psi_{x}=\int \frac{\partial}{\partial x} N(x, y) d y+h^{\prime}(x)\) . Now set \(\psi_{x}=M(x, y)\) and therefore \(h^{\prime}(x)=M(x, y)-\int \frac{\partial}{\partial x} N(x,y) dy\). Based on the fact that \(M_{y}=N_{x}\), it follows that \(\frac{\partial}{\partial y}\left[h^{\prime}(x)\right]=0\). Hence the expression for \(h^{\prime}(x)\) can be integrated to obtain \begin{align*} h(x)=\int M(x, y) d x-\int\left[\int \frac{\partial}{\partial x} N(x, y) d y\right] d x \end{align*}

Problem 15 [FOR GRADE]

\begin{align*} M = x^2y^3,\quad \quad N = x(1+y^2)\\ \implies M_y = 3x^2y^2, \quad \quad N_x = 1+y^2 \end{align*} Trivially, not exact. Let \(\mu(x,y) = \frac{1}{xy^3}\), then \begin{align*} M\times\mu = x, \quad \quad N\times\mu = \frac{1+y^2}{y^3} \implies (M\times\mu)_y = 0, \quad \quad (N\times\mu)_x = 0 \end{align*} Now they’re exact!

So then just find that \(F = \frac{x^2}{2} - \frac{1}{2y^2}+\ln(y)\)

Problem 18

\begin{align*} M = 3x^2y+2xy+y^3,\quad \quad N = x^2+y^2\\ \implies M_y = 3x^2+2x+3y^2, \quad \quad N_x = 2x \end{align*} Let us find the integrating factor \begin{align*} \mu(y) &= \exp\left(\int \frac{M_y-N_x}{N} dx\right)\\ &= \exp\left(\int \frac{3x^2+2x+3y^2-2x}{x^2+y^2} dx\right)\\ &= \exp\left(\int 3 dx\right)\\ &= e^{3x} \end{align*} Simply confirm that \(M\mu\) and \(N\mu\) are now exact. Find \(F(x,y) = e^{3x}y(3x^2+y^2) = C\)