Suppose x'(t) = Ax(t) where A =

Advanced Engineering Mathematics
10th Edition
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Author:Erwin Kreyszig
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Chapter2: Second-order Linear Odes
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4. Suppose \( x'(t) = Ax(t) \) where \( A = \begin{pmatrix} a & b \\ c & d \end{pmatrix} \), \( a, b, c, d \in \mathbb{R} \) and \( x(t) = \begin{pmatrix} x_1(t) \\ x_2(t) \end{pmatrix} \). Use the definition of linear independence to justify each of the following. Recall that if \( v \in \mathbb{R}^n = \vec{0} \), then each component of \( v \) must equal 0.

(a) Suppose the eigenvalues of \( A \) are distinct and real-valued. Show that the terms in the solution \( x(t) \) are linearly independent.

(b) Suppose there is only one eigenvalue of \( A \). Show that the terms in the solution \( x(t) \) are linearly independent. (Hint: There are two cases here - one case when there are two linearly independent eigenvectors associated with that eigenvalue and the second case is when we cannot find two linearly independent eigenvalues.)

(c) Suppose the eigenvalues of \( A \) are complex conjugates. Show that the terms in the solution \( x(t) \) are linearly independent.
Transcribed Image Text:4. Suppose \( x'(t) = Ax(t) \) where \( A = \begin{pmatrix} a & b \\ c & d \end{pmatrix} \), \( a, b, c, d \in \mathbb{R} \) and \( x(t) = \begin{pmatrix} x_1(t) \\ x_2(t) \end{pmatrix} \). Use the definition of linear independence to justify each of the following. Recall that if \( v \in \mathbb{R}^n = \vec{0} \), then each component of \( v \) must equal 0. (a) Suppose the eigenvalues of \( A \) are distinct and real-valued. Show that the terms in the solution \( x(t) \) are linearly independent. (b) Suppose there is only one eigenvalue of \( A \). Show that the terms in the solution \( x(t) \) are linearly independent. (Hint: There are two cases here - one case when there are two linearly independent eigenvectors associated with that eigenvalue and the second case is when we cannot find two linearly independent eigenvalues.) (c) Suppose the eigenvalues of \( A \) are complex conjugates. Show that the terms in the solution \( x(t) \) are linearly independent.
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