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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.

13. \(A = \left( {\begin{aligned}{ {20}{c}}4&{ - 3}\\6&{ - 2}\end{aligned}} \right)\)

Short Answer

Expert verified

The requiredcomplex solution is:

\(x(t) = {c_1}\left( {\begin{aligned}{ {20}{c}}{1 + i}\\2\end{aligned}} \right){e^{(1 + 3i)t}} + {c_2}\left( {\begin{aligned}{ {20}{c}}{1 - i}\\2\end{aligned}} \right){e^{(1 - 3i)t}}\)

And, the real general solution of is:

\(y(t) = {c_1}\left( {\begin{aligned}{ {20}{c}}{\cos 3t - \sin 3t}\\{2\cos 3t}\end{aligned}} \right){e^t} + {c_2}\left( {\begin{aligned}{ {20}{c}}{\cos 3t + \sin 3t}\\{2\sin 3t}\end{aligned}} \right){e^t}\)

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,\(A = \left( {\begin{aligned}{ {20}{l}}4&{ - 3}\\6&{ - 2}\end{aligned}} \right)\).

For eigenvalues, we have:

\(\begin{aligned}{c}\det \left( {x{I_2} - A} \right) = 0\\(4 - x)( - 2 - x) + 18 = 0\\{x^2} - 2x + 12 = 0\\{x_1} = 1 + 3i,{\rm{ }}{x_2} = 1 - 3i\end{aligned}\)

03

Find eigenvectors for both eigenvalues

Now, forthe eigenvalue\(1 + 3i\), we have:

\(\left( {\begin{aligned}{ {20}{c}}{3 - 3i}&{ - 3}\\6&{ - 3 - 3i}\end{aligned}} \right)\left( {\begin{aligned}{ {20}{l}}{{x_1}}\\{{x_2}}\end{aligned}} \right) = \left( {\begin{aligned}{ {20}{l}}0\\0\end{aligned}} \right)\)

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

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

Similarly,forthe eigenvalue\(1 - 3i\), we have:

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

Using both eigenvectors, we have:

\(\begin{aligned}{c}x(t) = {c_1}{v_1}{e^{{\lambda _1}t}} + {c_2}{v_2}{e^{{\lambda _2}t}}\\ = {c_1}\left( {\begin{aligned}{ {20}{c}}{1 + i}\\2\end{aligned}} \right){e^{(1 + 3i)t}} + {c_2}\left( {\begin{aligned}{ {20}{c}}{1 - i}\\2\end{aligned}} \right){e^{(1 - 3i)t}}\end{aligned}\)

Hence, this is the required solution.

04

Find the real general solution

Now, the real general solution will be given as:

\(\begin{aligned}{c}x(t) = {c_1}\left( {\begin{aligned}{ {20}{c}}{1 + i}\\2\end{aligned}} \right){e^{(1 + 3i)t}} + {c_2}\left( {\begin{aligned}{ {20}{c}}{1 - i}\\2\end{aligned}} \right){e^{(1 - 3i)t}}\\ = {c_1}\left( {\begin{aligned}{ {20}{c}}{1 + i}\\2\end{aligned}} \right)(\cos 3t + i\sin 3t){e^t} + {c_2}\left( {\begin{aligned}{ {20}{c}}{1 - i}\\2\end{aligned}} \right)(\cos 3t - i\sin 3t){e^t}\\ = {c_1}\left( {\begin{aligned}{ {20}{c}}{\cos 3t - \sin 3t}\\{2\cos 3t}\end{aligned}} \right){e^t} + {c_2}\left( {\begin{aligned}{ {20}{c}}{\cos 3t + \sin 3t}\\{2\sin 3t}\end{aligned}} \right){e^t}\end{aligned}\)

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

\(y(t) = {c_1}\left( {\begin{aligned}{ {20}{c}}{\cos 3t - \sin 3t}\\{2\cos 3t}\end{aligned}} \right){e^t} + {c_2}\left( {\begin{aligned}{ {20}{c}}{\cos 3t + \sin 3t}\\{2\sin 3t}\end{aligned}} \right){e^t}\), 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

Question: Find the characteristic polynomial and the eigenvalues of the matrices in Exercises 1-8.

2. \(\left[ {\begin{array}{*{20}{c}}5&3\\3&5\end{array}} \right]\)

Mark each statement as True or False. Justify each answer.

a. If \(A\) is invertible and 1 is an eigenvalue for \(A\), then \(1\) is also an eigenvalue of \({A^{ - 1}}\)

b. If \(A\) is row equivalent to the identity matrix \(I\), then \(A\) is diagonalizable.

c. If \(A\) contains a row or column of zeros, then 0 is an eigenvalue of \(A\)

d. Each eigenvalue of \(A\) is also an eigenvalue of \({A^2}\).

e. Each eigenvector of \(A\) is also an eigenvector of \({A^2}\)

f. Each eigenvector of an invertible matrix \(A\) is also an eigenvector of \({A^{ - 1}}\)

g. Eigenvalues must be nonzero scalars.

h. Eigenvectors must be nonzero vectors.

i. Two eigenvectors corresponding to the same eigenvalue are always linearly dependent.

j. Similar matrices always have exactly the same eigenvalues.

k. Similar matrices always have exactly the same eigenvectors.

I. The sum of two eigenvectors of a matrix \(A\) is also an eigenvector of \(A\).

m. The eigenvalues of an upper triangular matrix \(A\) are exactly the nonzero entries on the diagonal of \(A\).

n. The matrices \(A\) and \({A^T}\) have the same eigenvalues, counting multiplicities.

o. If a \(5 \times 5\) matrix \(A\) has fewer than 5 distinct eigenvalues, then \(A\) is not diagonalizable.

p. There exists a \(2 \times 2\) matrix that has no eigenvectors in \({A^2}\)

q. If \(A\) is diagonalizable, then the columns of \(A\) are linearly independent.

r. A nonzero vector cannot correspond to two different eigenvalues of \(A\).

s. A (square) matrix \(A\) is invertible if and only if there is a coordinate system in which the transformation \({\bf{x}} \mapsto A{\bf{x}}\) is represented by a diagonal matrix.

t. If each vector \({{\bf{e}}_j}\) in the standard basis for \({A^n}\) is an eigenvector of \(A\), then \(A\) is a diagonal matrix.

u. If \(A\) is similar to a diagonalizable matrix \(B\), then \(A\) is also diagonalizable.

v. If \(A\) and \(B\) are invertible \(n \times n\) matrices, then \(AB\)is similar to \ (BA\ )

w. An \(n \times n\) matrix with \(n\) linearly independent eigenvectors is invertible.

x. If \(A\) is an \(n \times n\) diagonalizable matrix, then each vector in \({A^n}\) can be written as a linear combination of eigenvectors of \(A\).

For the Matrices A find real closed formulas for the trajectory x(t+1)=Ax(t)wherex(0)=[01]A=[2-332]

Question: In Exercises 21 and 22, \(A\) and \(B\) are \(n \times n\) matrices. Mark each statement True or False. Justify each answer.

  1. If \(A\) is \(3 \times 3\), with columns \({{\rm{a}}_1}\), \({{\rm{a}}_2}\), and \({{\rm{a}}_3}\), then \(\det A\) equals the volume of the parallelepiped determined by \({{\rm{a}}_1}\), \({{\rm{a}}_2}\), and \({{\rm{a}}_3}\).
  2. \(\det {A^T} = \left( { - 1} \right)\det A\).
  3. The multiplicity of a root \(r\) of the characteristic equation of \(A\) is called the algebraic multiplicity of \(r\) as an eigenvalue of \(A\).
  4. A row replacement operation on \(A\) does not change the eigenvalues.

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 \({\mathbb{R}^4}\).
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