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Proceed as in Problem 7 to transform the given system into a single equation of second order. Then find \(x_{1}\) and \(x_{2}\) that also satisfy the given initial conditions. Finally, sketch the graph of the solution in the \(x_{1} x_{2}\) -plane for \(t \geq 0 .\) \(\begin{array}{ll}{x_{1}^{\prime}=2 x_{2},} & {x_{1}(0)=3} \\\ {x_{2}^{\prime}=-2 x_{1},} & {x_{2}(0)=4}\end{array}\)

Short Answer

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Question: Transform the given system of first-order differential equations into a single second-order differential equation, solve it, and sketch the graph of the solution in the \(x_1x_2\) plane for \(t \geq 0\). System: \(\begin{cases} x_1' = 2x_2 \\ x_2' = -2x_1 \end{cases}\) Initial conditions: \(x_1(0) = 3\) \(x_2(0) = 4\) Provide the forms of \(x_1(t)\) and \(x_2(t)\), and describe the appearance of the graph in the \(x_1x_2\) plane.

Step by step solution

01

Transform the System into a Second-Order Differential Equation

We are given a system of first-order differential equations: $$\begin{cases} x_1' = 2x_2 \\ x_2' = -2x_1 \end{cases}$$ To obtain a single second-order differential equation, we will differentiating one of the initial equations concerning the variable \(x_2\) and eliminate \(x_2\) using the other equation. Differentiate the first equation with respect to time, we get: $$x_1'' = 2x_2'$$ Now, using the second equation, we can substitute \(x_2' = -2x_1\): $$x_1'' = 2(-2x_1)$$ This results in a second-order differential equation: $$x_1'' = -4x_1$$
02

Solve the Second-Order Differential Equation

Now, we'll solve the second-order differential equation. The general solution to this equation is: $$x_1(t) = C_1 \cos{(2t)} + C_2 \sin{(2t)}$$ From the first initial condition \(x_1(0) = 3\), we can find \(C_1\) and \(C_2\): $$x_1(0) = C_1 \cos{(0)} + C_2 \sin{(0)} = 3$$ $$C_1 = 3$$ Now, we need to find \(x_2(t)\). We know that \(x_1' = 2x_2\), and we can find \(x_1'\) by differentiating \(x_1(t)\): $$x_1' = -6\sin{(2t)} + 2C_2\cos{(2t)} = 2x_2$$ So, we get: $$x_2(t) = -3\sin{(2t)} + C_2\cos{(2t)}$$
03

Use Initial Conditions to Find Specific Solutions

We now use the second initial condition \(x_2(0) = 4\) to find \(C_2\): $$x_2(0) = -3\sin{(0)} + C_2\cos{(0)} = 4$$ $$C_2 = 4$$ So our final expressions for \(x_1(t)\) and \(x_2(t)\) are: $$x_1(t) = 3\cos{(2t)} + 4\sin{(2t)}$$ $$x_2(t) = -3\sin{(2t)} + 4\cos{(2t)}$$
04

Sketch the Graph of the Solution

To sketch the graph of the solution in the \(x_1x_2\) plane, we use the parametric equation representation for \(x_1\) and \(x_2\): $$x_1(t) = 3\cos{(2t)} + 4\sin{(2t)}$$ $$x_2(t) = -3\sin{(2t)} + 4\cos{(2t)}$$ The graph will be an ellipse centered around the origin with a horizontal axis length of \(2\cdot3\) and a vertical axis length of \(2\cdot4\). You can plot the parametric equation in software like Desmos, GeoGebra, or Mathematica to see the graph for \(0 \leq t \leq 2\pi\).

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Most popular questions from this chapter

In this problem we indicate how to show that \(\mathbf{u}(t)\) and \(\mathbf{v}(t)\), as given by Eqs. (9), are linearly independent. Let \(r_{1}=\lambda+i \mu\) and \(\bar{r}_{1}=\lambda-i \mu\) be a pair of conjugate eigenvalues of the coefficient matrix \(\mathbf{A}\) of \(\mathrm{Fq}(1)\); let \(\xi^{(1)}=\mathbf{a}+i \mathbf{b}\) and \(\bar{\xi}^{(1)}=\mathbf{a}-i \mathbf{b}\) be the corresponding eigenvectors. Recall that it was stated in Section 7.3 that if \(r_{1} \neq \bar{r}_{1},\) then \(\boldsymbol{\xi}^{(1)}\) and \(\bar{\xi}^{(1)}\) are linearly independent. (a) First we show that a and b are linearly independent. Consider the equation \(c_{1} \mathrm{a}+\) \(c_{2} \mathrm{b}=0 .\) Express a and \(\mathrm{b}\) in terms of \(\xi^{(1)}\) and \(\bar{\xi}^{(1)},\) and then show that \(\left(c_{1}-i c_{2}\right) \xi^{(1)}+\) \(\left(c_{1}+i c_{2}\right) \bar{\xi}^{(1)}=0\) (b) Show that \(c_{1}-i c_{2}=0\) and \(c_{1}+i c_{2}=0\) and then that \(c_{1}=0\) and \(c_{2}=0 .\) Consequently, a and b are linearly independent. (c) To show that \(\mathbf{u}(t)\) and \(\mathbf{v}(t)\) are linearly independent consider the equation \(c_{1} \mathbf{u}\left(t_{0}\right)+\) \(c_{2} \mathbf{v}\left(t_{0}\right)=\mathbf{0}\), where \(t_{0}\) is an arbitrary point. Rewrite this equation in terms of a and \(\mathbf{b}\), and then proceed as in part (b) to show that \(c_{1}=0\) and \(c_{2}=0 .\) Hence \(\mathbf{u}(t)\) and \(\mathbf{v}(t)\) are linearly independent at the arbitrary point \(t_{0}\). Therefore they are linearly independent at every point and on every interval.

Let \(\mathbf{J}=\left(\begin{array}{cc}{\lambda} & {1} \\ {0} & {\lambda}\end{array}\right),\) where \(\lambda\) is an arbitrary real number. (a) Find \(\mathbf{J}^{2}, \mathbf{J}^{3},\) and \(\mathbf{J}^{4}\) (b) Use an inductive argument to show that \(\mathbf{J}^{n}=\left(\begin{array}{cc}{\lambda^{n}} & {n \lambda^{n-1}} \\\ {0} & {\lambda^{n}}\end{array}\right)\) (c) Determine exp(Jt). (d) Use exp(Jt) to solve the initial value problem \(\mathbf{x}^{\prime}=\mathbf{J x}, \mathbf{x}(0)=\mathbf{x}^{0}\)

Verify that the given vector satisfies the given differential equation. \(\mathbf{x}^{\prime}=\left(\begin{array}{rrr}{1} & {1} & {1} \\ {2} & {1} & {-1} \\ {0} & {-1} & {1}\end{array}\right) \mathbf{x}, \quad \mathbf{x}=\left(\begin{array}{r}{6} \\ {-8} \\ {-4}\end{array}\right) e^{-t}+2\left(\begin{array}{r}{0} \\ {1} \\ {-1}\end{array}\right) e^{2 t}\)

Express the general solution of the given system of equations in terms of real-valued functions. In each of Problems 1 through 6 also draw a direction field, sketch a few of the trajectories, and describe the behavior of the solutions as \(t \rightarrow \infty\). $$ \mathbf{x}^{\prime}=\left(\begin{array}{ll}{1} & {-1} \\ {5} & {-3}\end{array}\right) \mathbf{x} $$

The method of successive approximations (see Section \(2.8)\) can also be applied to systems of equations. For example, consider the initial value problem $$ \mathbf{x}^{\prime}=\mathbf{A} \mathbf{x}, \quad \mathbf{x}(0)=\mathbf{x}^{0} $$ where \(\mathbf{A}\) is a constant matrix and \(\mathbf{x}^{0}\) a prescribed vector. (a) Assuming that a solution \(\mathbf{x}=\Phi(t)\) exists, show that it must satisfy the integral equation $$ \Phi(t)=\mathbf{x}^{0}+\int_{0}^{t} \mathbf{A} \phi(s) d s $$ (b) Start with the initial approximation \(\Phi^{(0)}(t)=\mathbf{x}^{0} .\) Substitute this expression for \(\Phi(s)\) in the right side of Eq. (ii) and obtain a new approximation \(\Phi^{(1)}(t) .\) Show that $$ \phi^{(1)}(t)=(1+\mathbf{A} t) \mathbf{x}^{0} $$ (c) Reppeat this process and thereby obtain a sequence of approximations \(\phi^{(0)}, \phi^{(1)}\), \(\phi^{(2)}, \ldots, \phi^{(n)}, \ldots\) Use an inductive argument to show that $$ \phi^{(n)}(t)=\left(1+A t+A^{2} \frac{2}{2 !}+\cdots+A^{x} \frac{r^{2}}{n !}\right) x^{0} $$ (d) Let \(n \rightarrow \infty\) and show that the solution of the initial value problem (i) is $$ \phi(t)=\exp (\mathbf{A} t) \mathbf{x}^{0} $$

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