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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

Question: Construct a random integer-valued \(4 \times 4\) matrix \(A\).

  1. Reduce \(A\) to echelon form \(U\) with no row scaling, and use \(U\) in formula (1) (before Example 2) to compute \(\det A\). (If \(A\) happens to be singular, start over with a new random matrix.)
  2. Compute the eigenvalues of \(A\) and the product of these eigenvalues (as accurately as possible).
  3. List the matrix \(A\), and, to four decimal places, list the pivots in \(U\) and the eigenvalues of \(A\). Compute \(\det A\) with your matrix program, and compare it with the products you found in (a) and (b).

Suppose \(A = PD{P^{ - 1}}\), where \(P\) is \(2 \times 2\) and \(D = \left( {\begin{array}{*{20}{l}}2&0\\0&7\end{array}} \right)\)

a. Let \(B = 5I - 3A + {A^2}\). Show that \(B\) is diagonalizable by finding a suitable factorization of \(B\).

b. Given \(p\left( t \right)\) and \(p\left( A \right)\) as in Exercise 5 , show that \(p\left( A \right)\) is diagonalizable.

Question: In Exercises \({\bf{5}}\) and \({\bf{6}}\), the matrix \(A\) is factored in the form \(PD{P^{ - {\bf{1}}}}\). Use the Diagonalization Theorem to find the eigenvalues of \(A\) and a basis for each eigenspace.

6. \(\left( {\begin{array}{*{20}{c}}{\bf{4}}&{\bf{0}}&{{\bf{ - 2}}}\\{\bf{2}}&{\bf{5}}&{\bf{4}}\\{\bf{0}}&{\bf{0}}&{\bf{5}}\end{array}} \right){\bf{ = }}\left( {\begin{array}{*{20}{c}}{{\bf{ - 2}}}&{\bf{0}}&{{\bf{ - 1}}}\\{\bf{0}}&{\bf{1}}&{\bf{2}}\\{\bf{1}}&{\bf{0}}&{\bf{0}}\end{array}} \right)\left( {\begin{array}{*{20}{c}}{\bf{5}}&{\bf{0}}&{\bf{0}}\\{\bf{0}}&{\bf{5}}&{\bf{0}}\\{\bf{0}}&{\bf{0}}&4\end{array}} \right)\left( {\begin{array}{*{20}{c}}{\bf{0}}&{\bf{0}}&{\bf{1}}\\{\bf{2}}&{\bf{1}}&{\bf{4}}\\{{\bf{ - 1}}}&{\bf{0}}&{{\bf{ - 2}}}\end{array}} \right)\)

Question: Is \(\lambda = 2\) an eigenvalue of \(\left( {\begin{array}{*{20}{c}}3&2\\3&8\end{array}} \right)\)? Why or why not?

Let \(J\) be the \(n \times n\) matrix of all \({\bf{1}}\)’s and consider \(A = \left( {a - b} \right)I + bJ\) that is,

\(A = \left( {\begin{aligned}{*{20}{c}}a&b&b&{...}&b\\b&a&b&{...}&b\\b&b&a&{...}&b\\:&:&:&:&:\\b&b&b&{...}&a\end{aligned}} \right)\)

Use the results of Exercise \({\bf{16}}\) in the Supplementary Exercises for Chapter \({\bf{3}}\) to show that the eigenvalues of \(A\) are \(a - b\) and \(a + \left( {n - {\bf{1}}} \right)b\). What are the multiplicities of these eigenvalues?

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