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The coefficient matrix contains a parameter \(\alpha\). In each of these problems: (a) Determine the eigervalues in terms of \(\alpha\). (b) Find the critical value or values of \(\alpha\) where the qualitative nature of the phase portrait for the system changes. (c) Draw a phase portrait for a value of \(\alpha\) slightly below, and for another value slightly above, each crititical value. $$ \mathbf{x}^{\prime}=\left(\begin{array}{ll}{\frac{5}{4}} & {\frac{2}{4}} \\\ {\alpha} & {\frac{5}{4}}\end{array}\right) \mathbf{x} $$

Short Answer

Expert verified
Answer: The critical value of \(\alpha\) is \(\frac{9}{8}\).

Step by step solution

01

Find Eigenvalues

First, let's find the eigenvalues of the coefficient matrix: $$ \left(\begin{array}{ll}\frac{5}{4}-\lambda & \frac{2}{4} \\ \alpha & \frac{5}{4} - \lambda \end{array}\right) $$ Calculate the determinant and set it equal to zero: $$ \begin{aligned} \text{det}\left(\begin{array}{ll}\frac{5}{4}-\lambda & \frac{2}{4} \\ \alpha & \frac{5}{4} - \lambda \end{array}\right) &= \left(\frac{5}{4}-\lambda\right)\left(\frac{5}{4} - \lambda \right) - \left(\frac{2}{4}\right)\alpha \\ &= \frac{25}{16} - 2\frac{5}{4}\lambda + \lambda^2-\frac{1}{2}\alpha = 0 \end{aligned} $$ Now we have the characteristic equation in terms of \(\alpha\) and \(\lambda\): $$ \lambda^2 - \frac{5}{2}\lambda + \frac{25}{16} - \frac{1}{2}\alpha = 0 $$
02

Find Critical Values of \(\alpha\)

The critical values of \(\alpha\) are when we switch between having real and complex eigenvalues. This happens when the discriminant of the characteristic equation changes its sign. The discriminant, \(D\), is given by: $$ D = b^2 - 4ac $$ For our characteristic equation, the discriminant is: $$ D = \left(-\frac{5}{2}\right)^2 - 4\left(\frac{25}{16} - \frac{1}{2}\alpha\right) $$ Solve for when \(D = 0\) to find the critical values of \(\alpha\): $$ \frac{25}{4} - 4\left(\frac{25}{16} - \frac{1}{2}\alpha\right) = 0 $$ Rearranging, we get $$ \alpha = \frac{9}{8} $$
03

Analyze Phase Portraits for Different Values of \(\alpha\)

Now, we will analyze the phase portrait for values of \(\alpha\) slightly below and above its critical value. - When \(\alpha < \frac{9}{8}\), we have real eigenvalues since the discriminant \(D>0\). The system will have either an unstable or stable focus/node, depending on the signs of the eigenvalues. - When \(\alpha = \frac{9}{8}\), we have a double eigenvalue and the system is degenerate. - When \(\alpha > \frac{9}{8}\), we have complex eigenvalues since the discriminant \(D<0\). The system will have either an unstable or stable spiral, depending on the signs of the eigenvalues. Now, the student can draw phase portraits for each case, illustrating the different behavior of the system for different values of \(\alpha\).

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Most popular questions from this chapter

Let \(\Phi(t)\) denote the fundamental matrix satisfying \(\Phi^{\prime}=A \Phi, \Phi(0)=L\) In the text we also denoted this matrix by \(\exp (A t)\), In this problem we show that \(\Phi\) does indeed have the principal algebraic properties associated with the exponential function. (a) Show that \(\Phi(t) \Phi(s)=\Phi(t+s) ;\) that is, \(\exp (\hat{\mathbf{A}} t) \exp (\mathbf{A} s)=\exp [\mathbf{A}(t+s)]\) Hint: Show that if \(s\) is fixed and \(t\) is variable, then both \(\Phi(t) \Phi(s)\) and \(\Phi(t+s)\) satisfy the initial value problem \(\mathbf{Z}^{\prime}=\mathbf{A} \mathbf{Z}, \mathbf{Z}(0)=\mathbf{\Phi}(s)\) (b) Show that \(\Phi(t) \Phi(-t)=\mathbf{I}\); that is, exp(At) \(\exp [\mathbf{A}(-t)]=\mathbf{1}\). Then show that \(\Phi(-t)=\) \(\mathbf{\Phi}^{-1}(t) .\) (c) Show that \(\mathbf{\Phi}(t-s)=\mathbf{\Phi}(t) \mathbf{\Phi}^{-1}(s)\)

In each of Problems 9 and 10 find the solution of the given initial value problem. Describe the behavior of the solution as \(t \rightarrow \infty\). $$ \mathbf{x}^{\prime}=\left(\begin{array}{ll}{1} & {-5} \\ {1} & {-3}\end{array}\right) \mathbf{x}, \quad \mathbf{x}(0)=\left(\begin{array}{l}{1} \\ {1}\end{array}\right) $$

Show that if \(\lambda_{1}\) and \(\lambda_{2}\) are eigenvalues of a Hermitian matrix \(\mathbf{A},\) and if \(\lambda_{1} \neq \lambda_{2},\) then the corresponding eigenvectors \(\mathbf{x}^{(1)}\) and \(\mathbf{x}^{(2)}\) are orthogonal. Hint: Use the results of Problems 31 and 32 to show that \(\left(\lambda_{1}-\lambda_{2}\right)\left(\mathbf{x}^{(1)}, \mathbf{x}^{(1)}\right)=0\)

Express the general solution of the given system of equations in terms of real-valued functions. In each of Problems 1 through 6 also draw a direction field, sketch a few of the trajectories, and describe the behavior of the solutions as \(t \rightarrow \infty\). $$ \mathbf{x}^{\prime}=\left(\begin{array}{ll}{1} & {-1} \\ {5} & {-3}\end{array}\right) \mathbf{x} $$

Solve the given initial value problem. Describe the behavior of the solution as \(t \rightarrow \infty\). $$ \mathbf{x}^{\prime}=\left(\begin{array}{rrr}{0} & {0} & {-1} \\ {2} & {0} & {0} \\ {-1} & {2} & {4}\end{array}\right) \mathbf{x}, \quad \mathbf{x}(0)=\left(\begin{array}{l}{7} \\ {5} \\ {5}\end{array}\right) $$

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