System of differential equations involving matrices

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Discussion Overview

The discussion revolves around solving a system of differential equations represented in matrix form, specifically focusing on the matrix $\mathbf{A} = \begin{pmatrix} 9 & 2 \\ 1 & 8 \end{pmatrix}$. Participants are tasked with finding the general solution $\mathbf{y}(t)$ for the system $\frac{d\mathbf{y}}{dt} = \mathbf{Ay}$ and determining a unique solution given initial conditions.

Discussion Character

  • Technical explanation
  • Mathematical reasoning
  • Homework-related

Main Points Raised

  • One participant states that the general solution can be expressed as $\mathbf{y} = ke^{\mathbf{A}t}$, where $k \in \mathbb{R}$, and identifies the eigenvalues of $\mathbf{A}$ as $\lambda = 7, 10$.
  • Another participant suggests that since the eigenvalues are non-zero, the matrix $\mathbf{A}$ can be diagonalized and prompts the original poster to consider how the equations change under a diagonal basis transformation.
  • A further response elaborates on the diagonalization process, proposing a transformation matrix $S$ and detailing how to decouple the equations using this transformation.
  • One participant acknowledges a misunderstanding regarding the problem and expresses gratitude for the clarification provided by others.

Areas of Agreement / Disagreement

Participants do not reach a consensus on the approach to solving the system, as there are differing methods proposed, including diagonalization and the initial expression of the solution. The discussion remains unresolved regarding the specific steps to take next.

Contextual Notes

There are limitations in the discussion regarding the clarity of the transformation process and the specific steps required to derive the equations in the new basis. Some assumptions about the diagonalization process and the properties of the transformation matrix are not fully explored.

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Let $\mathbf{A} = \begin{pmatrix} 9 & 2 \\ 1 & 8 \end{pmatrix}.$ Obtain the general solution $\mathbf{y}(t)$ of the system of differential equations $\displaystyle \frac{d\mathbf{y}}{dt} = \mathbf{Ay}$:

$\begin{cases} \frac{dy_1}{dt} = 9y_1+2y_2 \\ \frac{dy_2}{dt} = y_1+8y_2 \end{cases}$

and find the unique solution satisfying $y_1(0) = 1$ and $y_2(0) = 5$.​

I've found that $\mathbf{y} = ke^{\mathbf{A}t}$, where $k \in \mathbb{R}$. That also eigenvalues of $\mathbf{A}$ are $\lambda = 7,10$. But I do not know how to proceed.
 
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Re: System of ifferential equations involving matrices

Guest said:
Let $\mathbf{A} = \begin{pmatrix} 9 & 2 \\ 1 & 8 \end{pmatrix}.$ Obtain the general solution $\mathbf{y}(t)$ of the system of differential equations $\displaystyle \frac{d\mathbf{y}}{dt} = \mathbf{Ay}$:

$\begin{cases} \frac{dy_1}{dt} = 9y_1+2y_2 \\ \frac{dy_2}{dt} = y_1+8y_2 \end{cases}$

and find the unique solution satisfying $y_1(0) = 1$ and $y_2(0) = 5$.​

I've found that $\mathbf{y} = ke^{\mathbf{A}t}$, where $k \in \mathbb{R}$. That also eigenvalues of $\mathbf{A}$ are $\lambda = 7,10$. But I do not know how to proceed.
Well, you have non-zero eigenvalues for A. That means you can diagonalize it. What happens to your two equations if you change the basis so that A is diagonal?

-Dan
 
Re: System of ifferential equations involving matrices

topsquark said:
Well, you have non-zero eigenvalues for A. That means you can diagonalize it. What happens to your two equations if you change the basis so that A is diagonal?

-Dan
I haven't obtained the two equations yet. They're asking me to show it. I'm at the step where I've $\displaystyle \frac{d\mathbf{y}}{dt} = \mathbf{Ay} \implies \mathbf{y} = ke^{\mathbf{A}t}$.
 
Guest said:
Let $\mathbf{A} = \begin{pmatrix} 9 & 2 \\ 1 & 8 \end{pmatrix}.$ Obtain the general solution $\mathbf{y}(t)$ of the system of differential equations $\displaystyle \frac{d\mathbf{y}}{dt} = \mathbf{Ay}$:

$\begin{cases} \frac{dy_1}{dt} = 9y_1+2y_2 \\ \frac{dy_2}{dt} = y_1+8y_2 \end{cases}$

and find the unique solution satisfying $y_1(0) = 1$ and $y_2(0) = 5$.​
Ignore the y = ke^{At} thing for a moment.

This is the long way around for this level of problem, but it generalizes nicely.

What I want you to do is diagonalize A. You have non-zero eigenvalues, so we can do the following. Find a transformation matrix S to act on you original equations as so:
[math]S \vec{y}' = SA \vec{y} = (S A S^{-1}) (S \vec{y} )[/math]

such that
[math]S A S^{-1} = \left ( \begin{matrix} 7 & 0 \\ 0 & 10 \end{matrix} \right )[/math]

One possibility is [math]S = \left ( \begin{matrix} 1 & -2 \\ 1 & 1 \end{matrix} \right )[/math]

Thus
[math]S \vec{y}' = \left ( \begin{matrix} 7 & 0 \\ 0 & 10 \end{matrix} \right ) S(\vec{y})[/math]

Call [math]S \vec{y} = Y[/math] and thus we also have [math]S \vec{y}' = Y'[/math]

So you need to solve
[math]\left ( \begin{matrix} Y_1' \\ Y_2 ' \end{matrix} \right ) = \left ( \begin{matrix} 7 & 0 \\ 0 & 10 \end{matrix} \right ) \left ( \begin{matrix} Y_1 \\ Y_2 \end{matrix} \right )[/math]

This decouples nicely. Once you have Y_1 and Y_2 then you can solve the simultaneous equations problem to find y_1 and y_2.

-Dan
 
topsquark said:
...
I was actually trying to get the system of equations in the cases, i.e. the one I was supposed solve (I completely misread the problem)! (Rofl)

Thank you. I'll study your post.
 

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