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	<title>differential equation &#8211; Problems in Mathematics</title>
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		<title>Solving a System of Differential Equation by Finding Eigenvalues and Eigenvectors</title>
		<link>https://yutsumura.com/solving-a-system-of-differential-equation-by-finding-eigenvalues-and-eigenvectors/</link>
				<comments>https://yutsumura.com/solving-a-system-of-differential-equation-by-finding-eigenvalues-and-eigenvectors/#respond</comments>
				<pubDate>Sun, 07 Jan 2018 01:23:51 +0000</pubDate>
		<dc:creator><![CDATA[Yu]]></dc:creator>
				<category><![CDATA[Linear Algebra]]></category>
		<category><![CDATA[differential equation]]></category>
		<category><![CDATA[eigenbasis]]></category>
		<category><![CDATA[eigenvalue]]></category>
		<category><![CDATA[eigenvector]]></category>
		<category><![CDATA[initial value]]></category>
		<category><![CDATA[linear algebra]]></category>
		<category><![CDATA[linear dynamical system]]></category>
		<category><![CDATA[system of differential equations]]></category>

		<guid isPermaLink="false">https://yutsumura.com/?p=6665</guid>
				<description><![CDATA[<p>Consider the system of differential equations \begin{align*} \frac{\mathrm{d} x_1(t)}{\mathrm{d}t} &#038; = 2 x_1(t) -x_2(t) -x_3(t)\\ \frac{\mathrm{d}x_2(t)}{\mathrm{d}t} &#038; = -x_1(t)+2x_2(t) -x_3(t)\\ \frac{\mathrm{d}x_3(t)}{\mathrm{d}t} &#038; = -x_1(t) -x_2(t) +2x_3(t) \end{align*} (a) Express the system in the matrix&#46;&#46;&#46;</p>
<p>The post <a href="https://yutsumura.com/solving-a-system-of-differential-equation-by-finding-eigenvalues-and-eigenvectors/" target="_blank">Solving a System of Differential Equation by Finding Eigenvalues and Eigenvectors</a> first appeared on <a href="https://yutsumura.com/" target="_blank">Problems in Mathematics</a>.</p>]]></description>
								<content:encoded><![CDATA[<h2> Problem 668</h2>
<p>Consider the system of differential equations<br />
\begin{align*}<br />
\frac{\mathrm{d} x_1(t)}{\mathrm{d}t} &#038; = 2 x_1(t) -x_2(t) -x_3(t)\\<br />
\frac{\mathrm{d}x_2(t)}{\mathrm{d}t} &#038; = -x_1(t)+2x_2(t) -x_3(t)\\<br />
\frac{\mathrm{d}x_3(t)}{\mathrm{d}t} &#038; = -x_1(t) -x_2(t) +2x_3(t)<br />
\end{align*}</p>
<p><strong>(a)</strong> Express the system in the matrix form.</p>
<p><strong>(b)</strong> Find the general solution of the system.</p>
<p><strong>(c)</strong> Find the solution of the system with the initial value $x_1=0, x_2=1, x_3=5$.</p>
<p>&nbsp;<br />
<span id="more-6665"></span><br />

<h2>Hint.</h2>
<p>Use the following theorem.</p>
<div style="padding: 16px; border: none 3px #4169e1; border-radius: 10px; background-color: #f0f8ff; margin-top: 30px; margin-bottom: 30px;">
<strong>Theorem</strong>.<br />
		Let $A$ be a diagonalizable $n\times n$ matrix.<br />
	Let $\{\mathbf{v}_1,\dots, \mathbf{v}_n\}$ be an eigenbasis for $A$, with associated eigenvalues $\lambda_1, \dots, \lambda_n$. Then the general solution of the linear dynamical system<br />
	\[\frac{\mathrm{d}\mathbf{x}}{\mathrm{d}t} =A\mathbf{x}\]
	is<br />
	\[\mathbf{x}(t)=c_1 e^{\lambda_1 t}\mathbf{v}_1+\cdots +c_n e^{\lambda_n t}\mathbf{v}_n,\]
	where $c_1, \dots, c_n$ are arbitrary complex numbers.
</div>
<h2>Solution.</h2>
<h3>(a) Express the system in the matrix form.</h3>
<p>Writing<br />
	\[\mathbf{x}=\begin{bmatrix}<br />
  x_1 \\<br />
   x_2 \\<br />
    x_3<br />
  \end{bmatrix} \text{ and } A=\begin{bmatrix}<br />
  2 &#038; -1 &#038; -1 \\<br />
   -1 &#038;2 &#038;-1 \\<br />
   -1 &#038; -1 &#038; 2<br />
\end{bmatrix},\]
the system of differential equations can be written in the matrix form<br />
\[\frac{\mathrm{d}\mathbf{x}}{\mathrm{d}t} =A\mathbf{x}.\]
<h3>(b) Find the general solution of the system.</h3>
<p>The eigenvalues of the matrix $A$ are $0$ and $3$. The eigenspaces are<br />
\[E_0=\Span \left(\,  \begin{bmatrix}<br />
  1 \\<br />
   1 \\<br />
    1<br />
  \end{bmatrix} \,\right) \text{ and } E_3=\Span \left(\,  \begin{bmatrix}<br />
  -1 \\<br />
   1 \\<br />
    0<br />
  \end{bmatrix}, \begin{bmatrix}<br />
  -1 \\<br />
   0 \\<br />
    1<br />
  \end{bmatrix} \,\right).\]
  (See the post &#8220;<a href="https://yutsumura.com/quiz-13-part-1-diagonalize-a-matrix/" rel="noopener" target="_blank">Quiz 13 (Part 1) Diagonalize a Matrix</a>&#8221; for details.)</p>
<hr />
<p>  Thus, the formula in Theorem yields the general solution<br />
 \begin{align*}<br />
\mathbf{x}(t)&#038;=c_1 e^{0t}\begin{bmatrix}<br />
  1 \\<br />
   1 \\<br />
    1<br />
  \end{bmatrix}+c_2e^{3t}\begin{bmatrix}<br />
  -1 \\<br />
   1 \\<br />
    0<br />
  \end{bmatrix}+c_3e^{3t}\begin{bmatrix}<br />
  -1 \\<br />
   0 \\<br />
    1<br />
  \end{bmatrix}\\[6pt]
 &#038;= c_1 \begin{bmatrix}<br />
  1 \\<br />
   1 \\<br />
    1<br />
  \end{bmatrix}+c_2e^{3t}\begin{bmatrix}<br />
  -1 \\<br />
   1 \\<br />
    0<br />
  \end{bmatrix}+c_3e^{3t}\begin{bmatrix}<br />
  -1 \\<br />
   0 \\<br />
    1<br />
  \end{bmatrix}, \tag{*}<br />
\end{align*}<br />
where $c_1, c_2, c_3$ are arbitrary constants.</p>
<p>Equivalently, one may write the solution as a single vector<br />
\[ \mathbf{x}(t)=\begin{bmatrix}<br />
  c_1-e^{3t}(c_2+c_3) \\<br />
   c_1+c_2e^{3t} \\<br />
    c_1+c_3e^{3t}<br />
  \end{bmatrix}.\]
<h3>(c) Find the solution of the system with the initial value $x_1=0, x_2=1, x_3=5$.</h3>
<p>Substituting $t=0$ in the solution (*) obtained in part (b) yields<br />
\[\begin{bmatrix}<br />
  0 \\<br />
   1 \\<br />
    5<br />
  \end{bmatrix}=\mathbf{x}(0)=c_1 \begin{bmatrix}<br />
  1 \\<br />
   1 \\<br />
    1<br />
  \end{bmatrix}+c_2\begin{bmatrix}<br />
  -1 \\<br />
   1 \\<br />
    0<br />
  \end{bmatrix}+c_3\begin{bmatrix}<br />
  -1 \\<br />
   0 \\<br />
    1<br />
  \end{bmatrix}.\]
  Solving this system gives $c_1=2, c_2=-1, c_3=3$.<br />
  Thus, the solution of the system of differential equations with the given initial value is<br />
  \[\mathbf{x}(t)=2\begin{bmatrix}<br />
  1 \\<br />
   1 \\<br />
    1<br />
  \end{bmatrix}-e^{3t}\begin{bmatrix}<br />
  -1 \\<br />
   1 \\<br />
    0<br />
  \end{bmatrix}+3e^{3t}\begin{bmatrix}<br />
  -1 \\<br />
   0 \\<br />
    1<br />
  \end{bmatrix}.\]
  Or equivalently,<br />
  \[\mathbf{x}(t)=\begin{bmatrix}<br />
  2-2e^{3t} \\<br />
   2-e^{3t} \\<br />
    2+3e^{3t}<br />
  \end{bmatrix}.\]
<button class="simplefavorite-button has-count" data-postid="6665" data-siteid="1" data-groupid="1" data-favoritecount="34" style="">Click here if solved <i class="sf-icon-star-empty"></i><span class="simplefavorite-button-count" style="">34</span></button><p>The post <a href="https://yutsumura.com/solving-a-system-of-differential-equation-by-finding-eigenvalues-and-eigenvectors/" target="_blank">Solving a System of Differential Equation by Finding Eigenvalues and Eigenvectors</a> first appeared on <a href="https://yutsumura.com/" target="_blank">Problems in Mathematics</a>.</p>]]></content:encoded>
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		<item>
		<title>Solve the Linear Dynamical System $\frac{\mathrm{d}\mathbf{x}}{\mathrm{d}t} =A\mathbf{x}$ by Diagonalization</title>
		<link>https://yutsumura.com/solve-the-linear-dynamical-system-fracmathrmdmathbfxmathrmdt-amathbfx-by-diagonalization/</link>
				<comments>https://yutsumura.com/solve-the-linear-dynamical-system-fracmathrmdmathbfxmathrmdt-amathbfx-by-diagonalization/#respond</comments>
				<pubDate>Thu, 04 Jan 2018 04:35:03 +0000</pubDate>
		<dc:creator><![CDATA[Yu]]></dc:creator>
				<category><![CDATA[Linear Algebra]]></category>
		<category><![CDATA[diagonalization of a matrix]]></category>
		<category><![CDATA[differential equation]]></category>
		<category><![CDATA[eigenvalue]]></category>
		<category><![CDATA[eigenvector]]></category>
		<category><![CDATA[linear algebra]]></category>
		<category><![CDATA[linear dynamical system]]></category>

		<guid isPermaLink="false">https://yutsumura.com/?p=6659</guid>
				<description><![CDATA[<p>(a) Find all solutions of the linear dynamical system \[\frac{\mathrm{d}\mathbf{x}}{\mathrm{d}t} =\begin{bmatrix} 1 &#038; 0\\ 0&#038; 3 \end{bmatrix}\mathbf{x},\] where $\mathbf{x}(t)=\mathbf{x}=\begin{bmatrix} x_1 \\ x_2 \end{bmatrix}$ is a function of the variable $t$. (b) Solve the linear&#46;&#46;&#46;</p>
<p>The post <a href="https://yutsumura.com/solve-the-linear-dynamical-system-fracmathrmdmathbfxmathrmdt-amathbfx-by-diagonalization/" target="_blank">Solve the Linear Dynamical System $\frac{\mathrm{d}\mathbf{x}}{\mathrm{d}t} =A\mathbf{x}$ by Diagonalization</a> first appeared on <a href="https://yutsumura.com/" target="_blank">Problems in Mathematics</a>.</p>]]></description>
								<content:encoded><![CDATA[<h2> Problem 667</h2>
<p><strong>(a)</strong> Find all solutions of the linear dynamical system<br />
\[\frac{\mathrm{d}\mathbf{x}}{\mathrm{d}t} =\begin{bmatrix}<br />
  1 &#038; 0\\<br />
  0&#038; 3<br />
\end{bmatrix}\mathbf{x},\]
where $\mathbf{x}(t)=\mathbf{x}=\begin{bmatrix}<br />
  x_1 \\<br />
  x_2<br />
\end{bmatrix}$ is a function of the variable $t$.</p>
<p><strong>(b)</strong> Solve the linear dynamical system<br />
\[\frac{\mathrm{d}\mathbf{x}}{\mathrm{d}t}=\begin{bmatrix}<br />
  2 &#038; -1\\<br />
  -1&#038; 2<br />
\end{bmatrix}\mathbf{x}\]
with the initial value $\mathbf{x}(0)=\begin{bmatrix}<br />
  1 \\<br />
  3<br />
\end{bmatrix}$.</p>
<p>&nbsp;<br />
<span id="more-6659"></span><br />

<h2>Solution.</h2>
<h3>(a) Find all solutions of the linear dynamical system $\frac{\mathrm{d}\mathbf{x}}{\mathrm{d}t} =\begin{bmatrix}<br />
  1 &#038; 0\\<br />
  0&#038; 3<br />
\end{bmatrix}\mathbf{x}$</h3>
<p>Note that the given system is<br />
	\[\begin{bmatrix}<br />
  \frac{\mathrm{d}{x_1}}{\mathrm{d} t} \\[6pt]
  \frac{\mathrm{d}{x_2}}<br />
  {\mathrm{d} t}<br />
\end{bmatrix}<br />
=\begin{bmatrix}<br />
  x_1 \\<br />
  3x_2<br />
\end{bmatrix}.\]
Thus, we have two uncoupled differential equations<br />
\begin{align*}<br />
 \frac{\mathrm{d}{x_1}}{\mathrm{d} t} &#038;=x_1 \\[6pt]
  \frac{\mathrm{d}{x_2}}{\mathrm{d} t} &#038;=3x_2.<br />
\end{align*}</p>
<p>The solutions to these differential equations are<br />
\begin{align*}<br />
x_1(t)&#038;=e^t x_1(0)\\<br />
x_2(t)&#038;=e<br />
^{3t} x_2(0).<br />
\end{align*}<br />
Thus we see that<br />
\[\mathbf{x}(t)=\begin{bmatrix}<br />
  e^t x_1(0) \\[6pt]
  e<br />
^{3t} x_2(0)<br />
\end{bmatrix}.\]
<h3>(b) Solve the linear dynamical system $\frac{\mathrm{d}\mathbf{x}}{\mathrm{d}t}=\begin{bmatrix}<br />
  2 &#038; -1\\<br />
  -1&#038; 2<br />
\end{bmatrix}\mathbf{x}$</h3>
<p>Let $A=\begin{bmatrix}<br />
  2 &#038; -1\\<br />
  -1&#038; 2<br />
\end{bmatrix}$.<br />
Then the matrix $A$ has eigenvalues $1, 3$ and corresponding eigenvectors are<br />
\[\begin{bmatrix}<br />
  1 \\<br />
  1<br />
\end{bmatrix} \text{ and } \begin{bmatrix}<br />
  -1 \\<br />
  1<br />
\end{bmatrix},\]
respectively.<br />
(See the post <a href="https://yutsumura.com/diagonalize-a-2-by-2-symmetric-matrix/" rel="noopener" target="_blank">Diagonalize a 2 by 2 Symmetric Matrix</a> for details.)</p>
<p>Thus, if we put $S=\begin{bmatrix}<br />
  1 &#038; -1\\<br />
  1&#038; 1<br />
\end{bmatrix}$, then $A$ is diagonalizable by $S$. That is,<br />
\[S^{-1}AS=D,\]
where<br />
\[D=\begin{bmatrix}<br />
  1 &#038; 0\\<br />
  0&#038; 3<br />
\end{bmatrix}.\]
<hr />
<p>Substituting $A=SDS^{-1}$ into the given system, we have<br />
\begin{align*}<br />
\frac{\mathrm{d}\mathbf{x}}{\mathrm{d}t}&#038;=(SDS^{-1})\mathbf{x}\\[6pt]
\Leftrightarrow \quad S^{-1}\frac{\mathrm{d}\mathbf{x}}{\mathrm{d}t}&#038;=(DS^{-1})\mathbf{x}\\[6pt]
\Leftrightarrow \quad \frac{\mathrm{d}(S^{-1} \mathbf{x})}{\mathrm{d}t}&#038;=(DS^{-1})\mathbf{x}.<br />
\end{align*}</p>
<p>Let $\mathbf{u}(t)=S^{-1}\mathbf{x}$. Then we obtain the system<br />
\[\frac{\mathrm{d}\mathbf{u}}{\mathrm{d}t} =\begin{bmatrix}<br />
  1 &#038; 0\\<br />
  0&#038; 3<br />
\end{bmatrix}\mathbf{u}.\]
We solved this system in part (a) and the general solution is given by<br />
\[\mathbf{u}(t)=\begin{bmatrix}<br />
  e^t u_1(0) \\[6pt]
  e^{3t} u_2(0)<br />
\end{bmatrix}.\]
<p>We determine the values of $u_1(0)$ and $u_2(0)$ using the given initial value $\mathbf{x}(0)=\begin{bmatrix}<br />
  1 \\<br />
  3<br />
\end{bmatrix}$.<br />
We have<br />
\[\begin{bmatrix}<br />
  u_1(0) \\<br />
  u_2(0)<br />
\end{bmatrix}=\mathbf{u}(0)=S^{-1} \mathbf{x}(0)=\frac{1}{2}\begin{bmatrix}<br />
  1 &#038; 1\\<br />
  -1&#038; 1<br />
\end{bmatrix}\begin{bmatrix}<br />
  1 \\<br />
  3<br />
\end{bmatrix}=\begin{bmatrix}<br />
  2 \\<br />
  1<br />
\end{bmatrix}.\]
(Note that $\begin{bmatrix}<br />
  2 \\<br />
  1<br />
\end{bmatrix}$ is the coordinate vector of $\mathbf{x}(0)=\begin{bmatrix}<br />
  1 \\<br />
  3<br />
\end{bmatrix}$ with respect to the eigenbasis $\begin{bmatrix}<br />
  1 \\<br />
  1<br />
\end{bmatrix}, \begin{bmatrix}<br />
  -1 \\<br />
  1<br />
\end{bmatrix}$.)</p>
<p>It follows that the solution of the original system is<br />
\begin{align*}<br />
\mathbf{x}=S\mathbf{u}=\begin{bmatrix}<br />
  1 &#038; -1\\<br />
  1&#038; 1<br />
\end{bmatrix}<br />
\begin{bmatrix}<br />
  2e^t  \\[6pt]
  e^{3t}<br />
\end{bmatrix}<br />
=2e^t\begin{bmatrix}<br />
  1 \\<br />
  1<br />
\end{bmatrix}+ e^{3t}\begin{bmatrix}<br />
  -1 \\<br />
  1<br />
\end{bmatrix}.<br />
\end{align*}</p>
<h3>Another Solution of (b)</h3>
<p>In this solution, we use the following theorem.</p>
<div style="padding: 16px; border: none 3px #4169e1; border-radius: 10px; background-color: #f0f8ff; margin-top: 30px; margin-bottom: 30px;">
<strong>Theorem</strong>. Let $A$ be a diagonalizable $n\times n$ matrix.<br />
Let $\{\mathbf{v}_1,\dots, \mathbf{v}_n\}$ be an eigenbasis for $A$, with associated eigenvalues $\lambda_1, \dots, \lambda_n$. Then the general solution of the linear dynamical system<br />
\[\frac{\mathrm{d}\mathbf{x}}{\mathrm{d}t} =A\mathbf{x}\]
is<br />
\[\mathbf{x}(t)=c_1 e^{\lambda_1 t}\mathbf{v}_1+\cdots +c_n e^{\lambda_n t}\mathbf{v}_n,\]
where $c_1, \dots, c_n$ are arbitrary complex numbers.
</div>
<p>As in the above solution, we know that the matrix $A=\begin{bmatrix}<br />
  2 &#038; -1\\<br />
  -1&#038; 2<br />
\end{bmatrix}$ has eigenvalues $1, 3$ and corresponding eigenvectors are<br />
\[\begin{bmatrix}<br />
  1 \\<br />
  1<br />
\end{bmatrix} \text{ and } \begin{bmatrix}<br />
  -1 \\<br />
  1<br />
\end{bmatrix},\]
respectively.</p>
<p>So the formula in the theorem yields the general solution<br />
\[\mathbf{x}(t)=c_1 e^{t}\begin{bmatrix}<br />
  1 \\<br />
  1<br />
\end{bmatrix}+c_2 e^{3t}\begin{bmatrix}<br />
  -1 \\<br />
  1<br />
\end{bmatrix},\]
where $c_1, c_2$ are constants.</p>
<hr />
<p>Since the initial is $\mathbf{x}(0)=\begin{bmatrix}<br />
  1 \\<br />
  3<br />
\end{bmatrix}$, we have<br />
\begin{align*}<br />
\begin{bmatrix}<br />
  1 \\<br />
  3<br />
\end{bmatrix}=c_1\begin{bmatrix}<br />
  1 \\<br />
  1<br />
\end{bmatrix}+c_2\begin{bmatrix}<br />
  -1 \\<br />
  1<br />
\end{bmatrix}.<br />
\end{align*}<br />
Solving this system, we obtain $c_1=2$ and $c_2=1$.<br />
Thus, the solution of the linear dynamical system with the given initial value is<br />
\[\mathbf{x}(t)=2 e^{t}\begin{bmatrix}<br />
  1 \\<br />
  1<br />
\end{bmatrix}+e^{3t}\begin{bmatrix}<br />
  -1 \\<br />
  1<br />
\end{bmatrix}.\]
<button class="simplefavorite-button has-count" data-postid="6659" data-siteid="1" data-groupid="1" data-favoritecount="18" style="">Click here if solved <i class="sf-icon-star-empty"></i><span class="simplefavorite-button-count" style="">18</span></button><p>The post <a href="https://yutsumura.com/solve-the-linear-dynamical-system-fracmathrmdmathbfxmathrmdt-amathbfx-by-diagonalization/" target="_blank">Solve the Linear Dynamical System $\frac{\mathrm{d}\mathbf{x}}{\mathrm{d}t} =A\mathbf{x}$ by Diagonalization</a> first appeared on <a href="https://yutsumura.com/" target="_blank">Problems in Mathematics</a>.</p>]]></content:encoded>
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