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In Exercises 9 and 18,construct the general solution of\(x' = Ax\)involving complex Eigen functions and then obtain the general real solution. Describe the shapes of typical trajectories.

10. \(A = \left( {\begin{aligned}{ {20}{c}}3&1\\{ - 2}&1\end{aligned}} \right)\)

Short Answer

Expert verified

The requiredcomplex solution is:

\(x(t) = {c_1}\left( {\begin{aligned}{ {20}{c}}{(1 + i)}\\{ - 2}\end{aligned}} \right){e^{(2 + i)t}} + {c_2}\left( {\begin{aligned}{ {20}{c}}{(1 - i)}\\{ - 2}\end{aligned}} \right){e^{(2 - i)t}}\)

And, the real general solution of is:

\(y(t) = {c_1}\left( {\begin{aligned}{ {20}{c}}{\cos t - \sin t}\\{ - 2\cos t}\end{aligned}} \right){e^{2t}} + {c_2}\left( {\begin{aligned}{ {20}{c}}{\cos t + \sin t}\\{ - 2\sin t}\end{aligned}} \right){e^{2t}}\)

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

Calculation for eigenvalues

It is given that,\(A = \left( {\begin{aligned}{ {20}{r}}3&1\\{ - 2}&1\end{aligned}} \right)\).

For eigenvalues, we have:

\(\begin{aligned}{c}\det \left( {x{I_2} - A} \right) = 0\\(3 - x)(1 - x) + 2 = 0\\{x^2} - 4x + 3 + 2 = 0\\{x^2} - 4x + 5 = 0\\x = 2 \pm i\end{aligned}\)

03

Find eigenvectors for both eigenvalues

Now, forthe eigenvalue\(2 + i\), we have:

\(\left( {\begin{aligned}{ {20}{c}}{1 - i}&1\\{ - 2}&{ - 1 - i}\end{aligned}} \right)\left( {\begin{aligned}{ {20}{l}}{{x_1}}\\{{x_2}}\end{aligned}} \right) = \left( {\begin{aligned}{ {20}{l}}0\\0\end{aligned}} \right)\)

So,\({x_1} = - \frac{{\left( {1 + i} \right)}}{2}{x_2}\)with\({x_2}\)free.

Taking\({x_2} = 1\), we get, eigenvector:

\({v_1} = \left( {\begin{aligned}{ {20}{c}}{\left( {1 + i} \right)}\\{ - 2}\end{aligned}} \right)\)

Similarly,forthe eigenvalue\(2 - i\), we have:

\(\left( {\begin{aligned}{ {20}{c}}{1 + i}&1\\{ - 2}&{ - 1 + i}\end{aligned}} \right)\left( {\begin{aligned}{ {20}{l}}{{y_1}}\\{{y_2}}\end{aligned}} \right) = \left( {\begin{aligned}{ {20}{l}}0\\0\end{aligned}} \right)\)

So\({y_1} = - \frac{{\left( {1 - i} \right)}}{2}{y_2}\)with\({y_2}\)free.

Taking\({y_2} = 1\), we get:

\({v_2} = \left( {\begin{aligned}{ {20}{c}}{\left( {1 - i} \right)}\\2\end{aligned}} \right)\)

Using both eigenvectors, we have:

\(\begin{aligned}{c}x(t) = {c_1}{v_1}{e^{{\lambda _1}t}} + {c_2}{v_2}{e^{{\lambda _2}t}}\\ = {c_1}\left( {\begin{aligned}{ {20}{c}}{(1 + i)}\\{ - 2}\end{aligned}} \right){e^{(2 + i)t}} + {c_2}\left( {\begin{aligned}{ {20}{c}}{(1 - i)}\\{ - 2}\end{aligned}} \right){e^{(2 - i)t}}\end{aligned}\)

Hence, this is the required solution.

04

Find the real general solution

Now, the real general solution will be given as:

\(\begin{aligned}{c}x(t) = {c_1}\left( {\begin{aligned}{ {20}{c}}{(1 + i)}\\{ - 2}\end{aligned}} \right){e^{(2 + i)t}} + {c_2}\left( {\begin{aligned}{ {20}{c}}{(1 - i)}\\{ - 2}\end{aligned}} \right){e^{(2 - i)t}}\\ = {c_1}\left( {\begin{aligned}{ {20}{c}}{(1 + i)}\\{ - 2}\end{aligned}} \right)(\cos t + i\sin t){e^{2t}} + {c_2}\left( {\begin{aligned}{ {20}{c}}{(1 - i)}\\{ - 2}\end{aligned}} \right)(\cos t - i\sin t){e^{2t}}\\ = {c_1}\left( {\begin{aligned}{ {20}{c}}{\cos t + i\sin t + i\cos t - \sin t}\\{ - 2\cos t - 2i\sin t}\end{aligned}} \right){e^{2t}} + {c_2}\left( {\begin{aligned}{ {20}{c}}{\cos t - i\sin t - i\cos t + \sin t}\\{ - 2\cos t + 2i\sin t}\end{aligned}} \right){e^{2t}}\end{aligned}\)

Hence, the real general solution of\(x' = Ax\)is given by

\(y(t) = {c_1}\left( {\begin{aligned}{ {20}{c}}{\cos t - \sin t}\\{ - 2\cos t}\end{aligned}} \right){e^{2t}} + {c_2}\left( {\begin{aligned}{ {20}{c}}{\cos t + \sin t}\\{ - 2\sin t}\end{aligned}} \right){e^{2t}}\), where\({c_1},{c_2} \in \mathbb{R}\)

Hence, this is the required general real solution. And, the trajectories are spiral as the eigenvalues are complex numbers.

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Most popular questions from this chapter

Consider the growth of a lilac bush. The state of this lilac bush for several years (at year’s end) is shown in the accompanying sketch. Let n(t) be the number of new branches (grown in the year t) and a(t) the number of old branches. In the sketch, the new branches are represented by shorter lines. Each old branch will grow two new branches in the following year. We assume that no branches ever die.

(a) Find the matrix A such that [nt+1at+1]=A[ntat]

(b) Verify that [11]and [2-1] are eigenvectors of A. Find the associated eigenvalues.

(c) Find closed formulas for n(t) and a(t).

Question: Exercises 9-14 require techniques section 3.1. Find the characteristic polynomial of each matrix, using either a cofactor expansion or the special formula for \(3 \times 3\) determinants described prior to Exercise 15-18 in Section 3.1. [Note: Finding the characteristic polynomial of a \(3 \times 3\) matrix is not easy to do with just row operations, because the variable \(\lambda \) is involved.

14. \(\left[ {\begin{array}{*{20}{c}}5&- 2&3\\0&1&0\\6&7&- 2\end{array}} \right]\)

(M)The MATLAB command roots\(\left( p \right)\) computes the roots of the polynomial equation \(p\left( t \right) = {\bf{0}}\). Read a MATLAB manual, and then describe the basic idea behind the algorithm for the roots command.

Question: Diagonalize the matrices in Exercises \({\bf{7--20}}\), if possible. The eigenvalues for Exercises \({\bf{11--16}}\) are as follows:\(\left( {{\bf{11}}} \right)\lambda {\bf{ = 1,2,3}}\); \(\left( {{\bf{12}}} \right)\lambda {\bf{ = 2,8}}\); \(\left( {{\bf{13}}} \right)\lambda {\bf{ = 5,1}}\); \(\left( {{\bf{14}}} \right)\lambda {\bf{ = 5,4}}\); \(\left( {{\bf{15}}} \right)\lambda {\bf{ = 3,1}}\); \(\left( {{\bf{16}}} \right)\lambda {\bf{ = 2,1}}\). For exercise \({\bf{18}}\), one eigenvalue is \(\lambda {\bf{ = 5}}\) and one eigenvector is \(\left( {{\bf{ - 2,}}\;{\bf{1,}}\;{\bf{2}}} \right)\).

12. \(\left( {\begin{array}{*{20}{c}}{\bf{4}}&{\bf{2}}&{\bf{2}}\\{\bf{2}}&{\bf{4}}&{\bf{2}}\\{\bf{2}}&{\bf{2}}&{\bf{4}}\end{array}} \right)\)

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 \(k \to \infty \).

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