Find the general solution of dX/dt = AX(t) for the given 3x3 matrix A.

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Homework Help Overview

The discussion revolves around finding the general solution of the differential equation dX/dt = AX(t) for a specified 3x3 matrix A. The original poster presents the problem with an initial condition and outlines their understanding of the matrix exponential and the need to find a Jordan form due to A's non-diagonalizability.

Discussion Character

  • Exploratory, Mathematical reasoning, Assumption checking

Approaches and Questions Raised

  • Participants discuss the use of matrix exponentials and Jordan forms, with one suggesting an alternative approach using eigenvalues and eigenvectors. Questions arise about calculating the matrix exponential for a Jordan matrix and the implications of using different methods.

Discussion Status

Some participants express uncertainty about the best approach, with one acknowledging that using matrix exponentials may not be the easiest method. Others provide insights into the calculations involved with the Jordan form and matrix exponentials, indicating a productive exchange of ideas without reaching a consensus.

Contextual Notes

The original poster notes the dimensions of the eigenspaces and the non-diagonalizability of matrix A, which influences the discussion on the appropriate methods to solve the problem.

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Homework Statement



Find the general solution of dX/dt = AX(t) with the initial condition X(0) = (a1,a2,a3), where A = [0 1 0, 0 0 1, -1 1 1]. (Here, a comma signifies the end of a row).

Homework Equations



The exponential of A is e^A = ∑A^k/k! from k = 0 to k = ∞.
The solution of dX/dt = AX(t) is given by X(t) = e^(tA)*X(0).


The Attempt at a Solution



I know that the first thing I have to is either find the diagonal matrix similar to A if A is diagonalizable, or a Jordan form of A (which is an upper triangular matrix) if A is not diagonalizable. Since the only eigenvalues of
A are -1 and 1 and the dimensions of both eigenspaces are 1, A is not diagonalizable. So I find the Jordan form of A: (Q^-1)AQ = [-1 0 0, 0 1 1, 0 0 1] where Q = [1 1 0, -1 1 1, 1 1 2]and Q^-1 = [1/4 -1/2 1/4,
3/4 1/2 -1/4, -1/2 0 1/2].

Now I'm stuck. I know how to find the solution if A is diagonalizable, because then we have
(Q^-1)AQ = B for some diagonal matrix B so A = QB(Q^-1) and e^tA = Q(e^tB)(Q^-1), and since B is diagonal e^tB is easy to calculate. But how do I calculate e^tB if B is only a Jordan matrix (hence upper triangular), not diagonal?

Any help would be much appreciated : )
 
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I, personally, wouldn't use the exponential form.

Your equation is of the form dX/dt= AX and there exist a matrix, p, such that
p^{-1}Ap= \begin{bmatrix}-1 & 0 & 0 \\ 0 & 1 & 1 \\ 0 & 0 & 1\end{bmatrix}

Since p is a constant matrix we can multiply both sides of the equation by p^{-1} to get d(p^{-1}X)/dt= p^{-1}AX= p^{-1}A(pp^{-1})X= (p^{-1}Ap)(p^{-1}X). Now, if we let Y= p^{-1}X, that becomes
\frac{d\begin{bmatrix}y_1\\ y_2\\ y_3\end{bmatrix}}{dt}= \begin{bmatrix}-1 & 0 & 0\\ 0 & 1 & 1 \\ 0 & 0 & 1\end{bmatrix}\begin{bmatrix}y_1 \\ y_2 \\ y_3\end{bmatrix}
which can be written as the three equations
\frac{dy_1}{dt}= -y_1
\frac{dy_2}{dt}= y_2+ y_3
\frac{dy_3}{dt}= y_3

The first and third equations are easy to solve and, once you know y_3 the second equation is easy to solve. Of course, once you have found Y, X= pY.

But, yes, you could do it by finding a matrix exponential. Use the Taylor's series:
e^{Bt}= I+ Bt+ (B/2)t^2+ (B/6)t^3+ ...
Now, look at the powers of B:
B^2= \begin{bmatrix}1 & 0 & 0 \\ 0 & 1 & 2 \\ 0 & 0 & 1\end{bmatrix}
B^3= \begin{bmatrix}-1 & 0 & 0 \\ 0 & 1 & 3 \\ 0 & 0 & 1\end{bmatrix}
B^4= \begin{bmatrix}1 & 0 & 0 \\ 0 & 1 & 4\\ 0 & 0 & 1\end{bmatrix}
etc. Get the idea?
 
Hello,

Thank you very much for your help. I see now that using matrix exponentials is not the easiest way to solve this problem.

Thanks again! : )
 
But using the eigenvalues and eigenvectors is!

And the matrix exponential is not all that difficult. As I tried to indicate, for
B= \begin{bmatrix}-1 & 0 & 0 \\ 0 & 1 & 1 \\ 0 & 0 & 1\end{bmatrix}
B^n= \begin{bmatrix}(-1)^n & 0 & 0 \\ 0 & 1 & n \\ 0 & 0 & 1\end{bmatrix}

So
(Bt)^n= \begin{bmatrix}(-t)^n & 0 & 0 \\ 0 & t^n & nt^n \\ 0 & 0 & t^n\end{bmatrix}
\frac{(Bt)^n}{n!}= \begin{bmatrix}\frac{(-t)^n}{n!} & 0 & 0 \\ 0 & \frac{t^n}{n!} & \frac{nt^n}{n!} \\ 0 & 0 & \frac{t^n}{n!}\end{bmatrix}
= \begin{bmatrix}\frac{(-t)^n}{n!} & 0 & 0 \\ 0 & \frac{t^n}{n!} & \frac{t^{n-1}}{(n-1)!}t \\ 0 & 0 & \frac{t^n}{n!}\end{bmatrix}

so that
e^{Bt}= \sum \frac{(BT)^n}{n!}= \begin{bmatrix}\sum\frac{(-t)^n}{n!} & 0 & 0 \\ 0 & \sum\frac{t^n}{n!} & \sum\frac{t^{n-1}}{(n-1)!}t \\ 0 & 0 & \sum\frac{t^n}{n!}\end{bmatrix}

Note that we can take a factor of t out of that "odd" sum and that
\sum_{n=1}^\infty \frac{t^{n-1}}{(n-1)!}
is the same as
\sum_{i= 0}^\infty \frac{t^i}{i!}= e^t
by taking i= n-1.

That is,
e^{Bt}= \begin{bmatrix}e^{-t} & 0 & 0 \\ 0 & e^t & te^t \\ 0 & 0 & e^t\end{bmatrix}
 

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