Differential equation with eigenvector

In summary: That last formula is partially correct. You wrote \begin{pmatrix}f(t) \\g(t) \\h(t)\end{pmatrix} = c_1\begin{pmatrix}1 \\1 \\0\end{pmatrix} + c_2\begin{pmatrix}-1 \\-1 \\1\end{pmatrix}e^t. That is right in principle. The only thing missing is that a $3\times3$ matrix has three eigenvalues. Your matrix $A$ has a third eigenvalue $\lambda=2$. So your general solution to the system of equations should look like \begin{pmatrix
  • #1
Petrus
702
0
Hello MHB,
solve this system of linear differential equation
\(\displaystyle f'=f-g-h\)
\(\displaystyle g'=-f+g-h\)
\(\displaystyle h'=-f+g+h\)
with boundary conditions \(\displaystyle f(0)=1\), \(\displaystyle g(0)=2\) and \(\displaystyle h(0)=0\)
we get that \(\displaystyle \lambda=1\) and \(\displaystyle \lambda=0\)
now for eigenvector or we can call it basis for eigenvector \(\displaystyle \lambda=0\) i get
10h7n1z.jpg

Is that correct?

Regards,
\(\displaystyle |\pi\rangle\)
 
Last edited:
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  • #2
Your third equation should be $x_3=0$. The eigenvector must be a multiple of \(\displaystyle \begin{pmatrix}1\\1\\0\end{pmatrix}.\)
 
  • #3
Opalg said:
Your third equation should be $x_3=0$. The eigenvector must be a multiple of \(\displaystyle \begin{pmatrix}1\\1\\0\end{pmatrix}.\)
I have hard to understand this

Regards,
\(\displaystyle |\pi\rangle\)
 
  • #4
Is this correct?

wikmfa.jpg

Edit:Ops on the first one with \(\displaystyle c_1\) it should be \(\displaystyle e^{0t}\)
So basicly we got \(\displaystyle f(t)=c_1-c_2e^t\), \(\displaystyle g(t)=c_1-c_2e^t\) and \(\displaystyle h(t)=c_2e^t\)
Regards,
\(\displaystyle |\pi\rangle\)
 
Last edited:
  • #5
Fernando Revilla said:
The eigenspace associated to $\lambda=0$ is:
$$\ker (A-0I)\equiv\left \{ \begin{matrix} x_1-x_2-x_3=0\\-x_1+x_2-x_3=0\\-x_1+x_2+x_3=0\end{matrix}\right.\sim \ldots \sim x_3=0$$
Then, all solutions of $\ker (A-0I)$ are
$$\begin{pmatrix}{x_1}\\{x_2}\\{x_3}\end{pmatrix}=\begin{pmatrix}{\alpha}\\{\beta}\\{0}\end{pmatrix}=\alpha \begin{pmatrix}{1}\\{0}\\{0}\end{pmatrix}+\beta \begin{pmatrix}{0}\\{1}\\{0}\end{pmatrix}\;,\quad \alpha,\beta \in \mathbb{R}$$
so, a basis of this eigenspace is $\{(1,0,0)^T,(0,1,0)^T\}.$

- - - Updated - - -
The eigenvector is correct.
Im pretty new with the differential equation with eigenvector. I Dont understand how it works with those boundary conditions. Notice that on the \(\displaystyle c_1\) it should be \(\displaystyle e^{0t}\)
Thanks!
Regards,
\(\displaystyle |\pi\rangle\)
 
  • #6
Petrus said:
Is this correct?

wikmfa.jpg

Edit:Ops on the first one with \(\displaystyle c_1\) it should be \(\displaystyle e^{0t}\)
So basicly we got \(\displaystyle f(t)=c_1-c_2e^t\), \(\displaystyle g(t)=c_1-c_2e^t\) and \(\displaystyle h(t)=c_2e^t\)
Regards,
\(\displaystyle |\pi\rangle\)
That last formula is partially correct. You wrote \(\displaystyle \begin{pmatrix}f(t) \\g(t) \\h(t)\end{pmatrix} = c_1\begin{pmatrix}1 \\1 \\0\end{pmatrix} + c_2\begin{pmatrix}-1 \\-1 \\1\end{pmatrix}e^t\). That is right in principle. The only thing missing is that a $3\times3$ matrix has three eigenvalues. Your matrix $A$ has a third eigenvalue $\lambda=2$. So your general solution to the system of equations should look like \(\displaystyle \begin{pmatrix}f(t) \\g(t) \\h(t)\end{pmatrix} = c_1\begin{pmatrix}1 \\1 \\0\end{pmatrix} + c_2\begin{pmatrix}-1 \\-1 \\1\end{pmatrix}e^t + c_3\begin{pmatrix}* \\* \\*\end{pmatrix}e^{2t}\), where you have to fill in the stars with the third eigenvector.

When you have done that, you can put $t=0$ in that equation. That will give you a set of three linear equations for the constants $c_1,c_2,c_3$ so that the initial conditions are satisfied.
 
  • #7
Hi,
I forgot that \(\displaystyle \lambda=2\)!
5y6ka8.jpg


So we get that \(\displaystyle c_1=\frac{3}{2}\), \(\displaystyle c_2=0\) and \(\displaystyle c_3=\frac{1}{2}\) and that should be correct right?

Regards,
\(\displaystyle |\pi\rangle\)
 

FAQ: Differential equation with eigenvector

What is a differential equation?

A differential equation is a mathematical equation that relates a function with its derivatives. It is commonly used to model various physical phenomena such as motion, growth, and decay.

What is an eigenvector?

An eigenvector is a special vector that, when multiplied by a particular matrix, results in a scalar multiple of itself. It represents the direction in which a linear transformation acts by simply stretching or shrinking the vector.

How are eigenvectors used in differential equations?

Eigenvectors are used in differential equations to find solutions that have a constant rate of change. They help to reduce the complexity of the equation by allowing us to solve for the eigenvalues and eigenvectors instead.

Can differential equations have multiple eigenvectors?

Yes, it is possible for a differential equation to have multiple eigenvectors. This means that there are multiple directions in which the linear transformation acts by simply stretching or shrinking the vector.

What is the significance of eigenvectors in real-world applications of differential equations?

Eigenvectors play a crucial role in real-world applications of differential equations, such as population modeling, chemical reactions, and oscillating systems. They help us to understand the behavior of these systems and make predictions about their future states.

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