Draw Trajectories for Autonomous DE: Where to Begin?

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    Trajectories
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Discussion Overview

The discussion revolves around how to draw trajectories for an autonomous differential equation (DE) given a specific matrix. Participants explore the computation of the matrix exponential \( e^{tA} \) and the implications of initial conditions on the trajectories.

Discussion Character

  • Exploratory, Technical explanation, Debate/contested, Mathematical reasoning

Main Points Raised

  • One participant inquires about the starting point for drawing trajectories for an autonomous DE, specifically referencing the matrix \( A \).
  • Another participant suggests computing \( e^{tA} \) and using an initial condition \( \mathbf{x}_{0} \) to find the solution to the DE.
  • A participant presents their calculations, including eigenvalues and eigenvectors, and expresses confusion about how to visualize the trajectories.
  • Some participants challenge the calculations of eigenvalues and eigenvectors, asserting that for a diagonal matrix, the eigenvalues are the diagonal entries and provide the correct eigenvectors.
  • There is a discussion about the lack of an initial condition, with one participant suggesting to use an arbitrary initial condition for further calculations.

Areas of Agreement / Disagreement

Participants generally disagree on the calculations of eigenvalues and eigenvectors, with some asserting corrections to earlier claims. The discussion remains unresolved regarding the visualization of trajectories.

Contextual Notes

Limitations include the absence of a specified initial condition and potential errors in the calculations of eigenvalues and eigenvectors that have not been fully resolved.

onie mti
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when you are asked to draw a trajectory for a an autonomous DE, where does one begin
eg
given the matrix A=
1 0
0 -1


they say find e^tA then draw the trajectories. I know how to find e^tA but i cannot draw
 
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Well, go ahead and compute $e^{t \mathbf{A}}$. You'll have some initial condition $\mathbf{x}_{0}$. Your solution to the DE $ \dot{ \mathbf{x}}=A \mathbf{x}$ is then $e^{t \mathbf{A}} \mathbf{x}_{0}$. Go ahead and perform the matrix multiplication $e^{t \mathbf{A}} \mathbf{x}_{0}$ and see what you get.
 
Ackbach said:
Well, go ahead and compute $e^{t \mathbf{A}}$. You'll have some initial condition $\mathbf{x}_{0}$. Your solution to the DE $ \dot{ \mathbf{x}}=A \mathbf{x}$ is then $e^{t \mathbf{A}} \mathbf{x}_{0}$. Go ahead and perform the matrix multiplication $e^{t \mathbf{A}} \mathbf{x}_{0}$ and see what you get.

My eigenvalues were 2 and 1
Eigenvector associated with λ_1=2 is ■(0@1) and
λ_1= Is ■(1@0)
Where x(t) = c(1)e^(2t) ■(0@1) + c(2)e^t ■(1@0)

Now solving for e^tA
x_1(0)= ■(1@0) = c(1)e^2t ■(0@1) + c(2) e^t ■(1@0)
Where c(1)= 0 and c(2)= 1

Then for x_2(0), c(1)= 1 and c(2) = 0
Such that, x_1(t)= c(2) ■(1@0)
x_2(t) = e^2t ■(0@1)
Therefore e^tA is: ■(c(2) ■(1@0) @e^2t ■(0@1))
I still do not understand how to do the trajectories
 
Hmm. You might want to check your calculations. With a diagonal matrix, the eigenvalues are simply the values on the diagonal. In this case, you get $\lambda= \pm 1$; the eigenvector for $\lambda=1$ is $\begin{bmatrix}1 \\ 0 \end{bmatrix}$, and the eigenvector corresponding to $\lambda=-1$ is $\begin{bmatrix}0 \\ 1 \end{bmatrix}$. As the matrix is already diagonal, you can exponentiate it fairly easily:
$$e^{t \mathbf{A}}= \begin{bmatrix} e^{t} &0 \\ 0 &e^{-t} \end{bmatrix}.$$
What is your initial condition?
 
Ackbach said:
Hmm. You might want to check your calculations. With a diagonal matrix, the eigenvalues are simply the values on the diagonal. In this case, you get $\lambda= \pm 1$; the eigenvector for $\lambda=1$ is $\begin{bmatrix}1 \\ 0 \end{bmatrix}$, and the eigenvector corresponding to $\lambda=-1$ is $\begin{bmatrix}0 \\ 1 \end{bmatrix}$. As the matrix is already diagonal, you can exponentiate it fairly easily:
$$e^{t \mathbf{A}}= \begin{bmatrix} e^{t} &0 \\ 0 &e^{-t} \end{bmatrix}.$$
What is your initial condition?

I was not given any initial condition
 
onie mti said:
I was not given any initial condition

Ok, that's fine. Let's call the initial condition something arbitrary, then: $\begin{bmatrix}x_0 \\ y_0 \end{bmatrix}$. What is the full solution to the DE?
 

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