Fundamental Matrix of \(\mathbf{A}\) - Find the Solution

In summary, there are several methods that can be used to find the fundamental matrix for a given matrix \(\mathbf{A}\). However, if these methods do not work, you can try using the Jordan canonical form, numerical methods, or software to find an approximate solution. Keep exploring and experimenting to find a solution that works for your specific problem.
  • #1
Dustinsfl
2,281
5
Given
\[
\mathbf{A} =
\begin{bmatrix}
0 & 1 & 0\\
0 & 0 & 1\\
0 & -5 & -4
\end{bmatrix}
\]
find the fundamental matrix.

If I had real eigenvectors, I could simply do
\[
e^{\mathbf{A}t} = \mathbf{S}e^{\mathbf{D}t}\mathbf{S}^{-1},
\]
but I have complex eigenvalues and eigenvectors.

Also, if the \(\mathbf{A}^n\) shows a pattern, I could do say, for example, \(\mathbf{A}^n = \begin{bmatrix} 2^n & 1\\ 3^n & 0\end{bmatrix}\), but when I look at \(A^n\), I have
\begin{align}
\mathbf{A}^2 &= \begin{bmatrix}
0 & 0 & 1\\
0 & -5 & -4\\
0 & 20 & 11
\end{bmatrix}\\
\mathbf{A}^3 &= \begin{bmatrix}
0 & -5 & -4\\
0 & 20 & 11\\
0 & -55 & -24
\end{bmatrix}\\
\mathbf{A}^4 &= \begin{bmatrix}
0 & 20 & 11\\
0 & -55 & -24\\
0 & 120 & 41
\end{bmatrix}
\end{align}

So for the methods I know, I can't find the fundamental matrix. What can I do?
 
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  • #2


I understand your frustration in not being able to find a clear pattern or solution for the fundamental matrix. However, there are a few things you can try to find a solution.

Firstly, you can try using the Jordan canonical form of the matrix \(\mathbf{A}\) instead of the diagonal form. This may help in finding a pattern for \(\mathbf{A}^n\) and ultimately the fundamental matrix.

Secondly, you can try using numerical methods such as power series or Taylor series approximations to find an approximate solution for the fundamental matrix. This may not give an exact solution, but it can be a good starting point for further analysis.

Lastly, you can also try using software such as MATLAB or Mathematica to find the fundamental matrix numerically. These software have built-in functions for solving differential equations and finding fundamental matrices.

In conclusion, while the methods you know may not be applicable in this case, there are still other approaches you can try to find a solution for the fundamental matrix. Keep exploring and experimenting, and you may find a solution that works for your specific problem.
 

FAQ: Fundamental Matrix of \(\mathbf{A}\) - Find the Solution

What is the fundamental matrix of A?

The fundamental matrix of A is a mathematical concept used in linear algebra to represent the set of all solutions to a system of linear equations. It is typically denoted as F and is defined as the inverse of the coefficient matrix A. In other words, F is the matrix that when multiplied by A yields the identity matrix.

How is the fundamental matrix of A calculated?

The fundamental matrix of A can be calculated using various methods, such as row reduction, Gaussian elimination, or Cramer's rule. Each method involves manipulating the coefficients of the linear equations to reduce the system to an equivalent system with a simpler form. The end result is a matrix that represents the set of all solutions to the original system of equations.

Why is the fundamental matrix of A important?

The fundamental matrix of A is important because it provides a way to find the solution to a system of linear equations. By representing the set of solutions as a matrix, it allows for efficient and accurate computation of the solution. Additionally, the fundamental matrix can be used to determine properties of the system, such as whether it has a unique solution or infinitely many solutions.

Can the fundamental matrix of A be used for non-linear systems?

No, the fundamental matrix of A is only applicable to linear systems. Non-linear systems involve equations with variables raised to powers other than 1, and therefore cannot be manipulated using the methods used to calculate the fundamental matrix. Non-linear systems require different techniques, such as substitution or iteration, to find the solution.

Is the fundamental matrix of A unique?

Yes, the fundamental matrix of A is unique for a given system of linear equations. This is because it is defined as the inverse of the coefficient matrix A, and the inverse of a matrix is unique. However, it is possible for different systems of equations to have the same fundamental matrix, as long as the coefficient matrices are equal.

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