2 x 2 Phase Portrait for 2 x 2 Linear System with Real Coefficients. Boyce, p395, Figure 7.5.4a

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The given general solution for some linear system is $ x= c_{2} \mathbf{ x^{(1)} }(t) + c_{2} \mathbf{ x^{(2)} }(t) = c_{1}\ \left(\begin{array}{l} 1\\ \sqrt{2} \end{array}\right)\ e^{-t}+ c_{2} \left(\begin{array}{l} -\sqrt{2}\\ 1 \end{array}\right)\ e^{-4t} \qquad (21) $.

Graphs of the solution (21) for several values of $c_{1}$ and $c_{2}$ are shown in Figure 7. $5.4a$.
The solution $x^{(1)}(t)$ approaches the origin along the line $x_{2}=\sqrt{2}x_{1}$, and the solution $x^{(2)}(t)$ approaches the origin along the line $x_{1}=-\sqrt{2}x_{2}$....

(1) Please explain this last sentence? I know $\color{brown}{ x_2 = \sqrt{2}x_{1} \iff } \begin{bmatrix} x_1\\ x_2 \end{bmatrix} = x_1 \begin{bmatrix} 1 \\ \sqrt{2} \end{bmatrix}$ and $ \color{green} { x_{1}=-\sqrt{2}x_{2} } \iff \begin{bmatrix} x_1\\ x_2 \end{bmatrix} = x_2 \begin{bmatrix} -\sqrt{2} \\ 1 \end{bmatrix}$

As $ t\rightarrow\infty$, the solution $x^{(2)}(t)$ is negligible compared to $x^{(1)}(t)$ .

(2) Why 'negligible'? I know when $k > 0$, $\lim_{t \to \infty} e^{-kt} = 0 $

Thus, unless $c_{1}=0$, the solution (21) approaches the origin tangent to the line $x_{2}=\sqrt{2}x_{1}$.

(3) Please explain this last sentence? I know if $c_1 =0 $ then any solution must be $ c_{2} \mathbf{ x^{(2)} }(t)$

... If the eigenvalues were positive rather than negative, then the trajectories would be similar but traversed in the outward direction.

(4) Please explain this last sentence?

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The first equation tells us (implicitly) $$\mathbf{x}^{(1)}(t)= \begin{pmatrix} 1 \\ \sqrt{2}\end{pmatrix}e^{-t}, \quad \mathbf{x}^{(2)}(t)= \begin{pmatrix} -\sqrt{2}\\ 1\end{pmatrix}e^{-4t}.$$

  1. This means that, starting with $t=0$ and using $e^0 = 1$, we have initial values

    $$\mathbf{x}^{(1)}(0)= \begin{pmatrix} 1 \\ \sqrt{2}\end{pmatrix}, \quad \mathbf{x}^{(2)}(0)= \begin{pmatrix} -\sqrt{2}\\ 1\end{pmatrix}.$$

    As $t$ increases from $0$ towards $\infty$, the factors $e^{-k}$ and $e^{-4k}$ decrease from $1$ to $0$, i.e. the solutions $\mathbf{x}^{(1)}(t)$ and $\mathbf{x}^{(2)}(t)$ run along the red/green line. In view of this, the black arrows are misleadingly positioned.

  2. This argument of Boyce is a bit handwavy here, and my explanation is going to be similarly handwavy - I hope that this makes it more understandable. The idea is that $e^{-4t}$ converges faster to $0$ than $e^{-t}$ does. I would not call it negligible, but the two solutions converge to zero at different rates. One way to see this is to write $c_1 \mathbf{x}^{(1)}(t)+ c_2 \mathbf{x}^{(2)}(t)$ as

    $$e^{-t}\left(c_1\begin{pmatrix} 1 \\ \sqrt{2}\end{pmatrix} + c_2\begin{pmatrix} -\sqrt{2}\\ 1\end{pmatrix}e^{-3t}\right) .$$

    As $t$ increases, the second summand in the brackets goes to $0$, while the first one remains.

  3. Because of this difference in convergence speed, a linear combination of the two solutions gets very close to $\mathbf{x}^{(1)}(t)$, as the part with $\mathbf{x}^{(2)}(t)$ 'converges away'. You can see this behavior in the blue arrows, which are the general solutions of the system. All of them approach the origin along the direction of $\pm \begin{pmatrix} 1 \\ \sqrt{2}\end{pmatrix}$ eventually - the part of $\mathbf{x}^{(2)}(t)$ dimishes away. I am aware that this explanation is similarly handwavy as the original one.

  4. This is lacking context. How are the solutions related to eigenvalues (of which matrix)?