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Let \(A\) be a \(2 \times 2\) matrix with eigenvalues \( - {\bf{3}}\) and \( - {\bf{1}}\), and corresponding eigenvectors \({v_1} = \left( {\begin{aligned}{ {20}{c}}{ - 1}\\1\end{aligned}} \right)\) and \({v_2} = \left( {\begin{aligned}{ {20}{c}}1\\1\end{aligned}} \right)\). Let \(x\left( t \right)\) be the position of a particle at time \(t\). Solve the initial value problem \(x' = Ax\), \(x\left( 0 \right) = \left( {\begin{aligned}{ {20}{c}}{\bf{2}}\\{\bf{3}}\end{aligned}} \right)\).

Short Answer

Expert verified

The required solution is:

\(x(t) = \left( {\begin{aligned}{ {20}{c}}{ - 0.5{e^{ - 3t}} + 2.5{e^{ - t}}}\\{0.5{e^{ - 3t}} + 2.5{e^{ - t}}}\end{aligned}} \right)\)

Step by step solution

01

System of Differential Equations

The general solutionfor any system of differential equations withthe eigenvalues\({\lambda _1}\)and\({\lambda _2}\)with the respective eigenvectors\({v_1}\)and\({v_2}\)is given by:

\(x(t) = {c_1}{v_1}{e^{{\lambda _1}t}} + {c_2}{v_2}{e^{{\lambda _2}t}}\)

Here, \({c_1}\) and \({c_2}\) are the constants from the initial condition.

02

Find the general solution

According to the question;

Consider the eigenvalues of\(A\)be\({\lambda _1} = - 3\)and\({\lambda _2} = - 1\)with respective eigenvectors:

\({v_1} = \left( {\begin{aligned}{ {20}{c}}{ - 1}\\1\end{aligned}} \right)\)and\({v_2} = \left( {\begin{aligned}{ {20}{c}}1\\1\end{aligned}} \right)\)

Then the general solution of the equation\(x' = A{\rm{x}}\)is:

\(\begin{aligned}{c}x(t) = {c_1}{v_1}{e^{{\lambda _1}t}} + {c_2}{v_2}{e^{{\lambda _2}t}}\\ = {c_1}\left( {\begin{aligned}{ {20}{c}}{ - 1}\\1\end{aligned}} \right){e^{ - 3t}} + {c_2}\left( {\begin{aligned}{ {20}{l}}1\\1\end{aligned}} \right){e^{ - t}}\\ = \left( {\begin{aligned}{ {20}{c}}{ - {c_1}{e^{ - 3t}} + {c_2}{e^{ - t}}}\\{{c_1}{e^{ - 3t}} + {c_2}{e^{ - t}}}\end{aligned}} \right)\end{aligned}\)

Substituting the initial condition\(x(0) = \left( {\begin{aligned}{ {20}{l}}2\\3\end{aligned}} \right)\), we get:

\(\left( {\begin{aligned}{ {20}{c}}{ - {c_1} + {c_2}}\\{{c_1} + {c_2}}\end{aligned}} \right) = \left( {\begin{aligned}{ {20}{l}}2\\3\end{aligned}} \right)\)

Solving this system, we have:\({c_1} = 0.5,\;\;\;{c_2} = 2.5\), and the solution is:

\(\begin{aligned}{c}x(t) = 0.5\left( {\begin{aligned}{ {20}{c}}{ - 1}\\1\end{aligned}} \right){e^{ - 3t}} + 2.5\left( {\begin{aligned}{ {20}{l}}1\\1\end{aligned}} \right){e^{ - t}}\\ = \left( {\begin{aligned}{ {20}{c}}{ - 0.5{e^{ - 3t}} + 2.5{e^{ - t}}}\\{0.5{e^{ - 3t}} + 2.5{e^{ - t}}}\end{aligned}} \right)\end{aligned}\)

Hence, this is the required solution.

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Most popular questions from this chapter

Compute the quantities in Exercises 1-8 using the vectors

\({\mathop{\rm u}\nolimits} = \left( {\begin{aligned}{*{20}{c}}{ - 1}\\2\end{aligned}} \right),{\rm{ }}{\mathop{\rm v}\nolimits} = \left( {\begin{aligned}{*{20}{c}}4\\6\end{aligned}} \right),{\rm{ }}{\mathop{\rm w}\nolimits} = \left( {\begin{aligned}{*{20}{c}}3\\{ - 1}\\{ - 5}\end{aligned}} \right),{\rm{ }}{\mathop{\rm x}\nolimits} = \left( {\begin{aligned}{*{20}{c}}6\\{ - 2}\\3\end{aligned}} \right)\)

2. \({\mathop{\rm w}\nolimits} \cdot {\mathop{\rm w}\nolimits} ,{\mathop{\rm x}\nolimits} \cdot {\mathop{\rm w}\nolimits} ,\,\,{\mathop{\rm and}\nolimits} \,\,\frac{{{\mathop{\rm x}\nolimits} \cdot {\mathop{\rm w}\nolimits} }}{{{\mathop{\rm w}\nolimits} \cdot {\mathop{\rm w}\nolimits} }}\)

Exercises 19–23 concern the polynomial \(p\left( t \right) = {a_{\bf{0}}} + {a_{\bf{1}}}t + ... + {a_{n - {\bf{1}}}}{t^{n - {\bf{1}}}} + {t^n}\) and \(n \times n\) matrix \({C_p}\) called the companion matrix of \(p\): \({C_p} = \left( {\begin{aligned}{*{20}{c}}{\bf{0}}&{\bf{1}}&{\bf{0}}&{...}&{\bf{0}}\\{\bf{0}}&{\bf{0}}&{\bf{1}}&{}&{\bf{0}}\\:&{}&{}&{}&:\\{\bf{0}}&{\bf{0}}&{\bf{0}}&{}&{\bf{1}}\\{ - {a_{\bf{0}}}}&{ - {a_{\bf{1}}}}&{ - {a_{\bf{2}}}}&{...}&{ - {a_{n - {\bf{1}}}}}\end{aligned}} \right)\).

19. Write the companion matrix \({C_p}\) for \(p\left( t \right) = {\bf{6}} - {\bf{5}}t + {t^{\bf{2}}}\), and then find the characteristic polynomial of \({C_p}\).

Define\(T:{{\rm P}_3} \to {\mathbb{R}^4}\)by\(T\left( {\bf{p}} \right) = \left( {\begin{aligned}{{\bf{p}}\left( { - 3} \right)}\\{{\bf{p}}\left( { - 1} \right)}\\{{\bf{p}}\left( 1 \right)}\\{{\bf{p}}\left( 3 \right)}\end{aligned}} \right)\).

  1. Show that \(T\) is a linear transformation.
  2. Find the matrix for \(T\) relative to the basis \(\left\{ {1,t,{t^2},{t^3}} \right\}\)for \({{\rm P}_3}\)and the standard basis for \({\mathbb{R}^4}\).

Let \(A = \left( {\begin{aligned}{*{20}{c}}{.4}&{ - .3}\\{.4}&{1.2}\end{aligned}} \right)\). Explain why \({A^k}\) approaches \(\left( {\begin{aligned}{*{20}{c}}{ - .5}&{ - .75}\\1&{1.5}\end{aligned}} \right)\) as \(k \to \infty \).

For the matrix A, find real closed formulas for the trajectoryx(t+1)=Ax¯(t)where x=[01]. Draw a rough sketch

A=[15-27]

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