Finding a Fundamental Matrix for the System

In summary, the system x'(t)=Ax(t) has two eigenvectors, v1=[1 0 2] and v2=[1 4 0], with eigenvalue λ=1. The matrix A does not have a third linearly independent eigenvector and therefore cannot be diagonalized. The concept of a fundamental matrix is unclear in this context.
  • #1
sndoyle1
6
0

Homework Statement


Find a fundamental matrix for the system x'(t)=Ax(t); where
5 -3 -2
A = 8 -5 -4
-4 3 3

The second part of the question is to find eAt

Homework Equations



I know that you have to find the 3 eigenvectors and then the 'general solution' without putting the constants into the fundamental matrix. I'm having a super hard time finding the last eigen vector.

The Attempt at a Solution



I found the eigenvalues to be (λ-1)3 and when I completed for the first λ=1 I found that v1=[1 4 0] and v2= [1 0 2]. I tried to generalize to find v3 by using (A-λI)v3=v2 but I keep getting an invalid system.

Any help would be great.
 
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  • #2
sndoyle1 said:

Homework Statement


Find a fundamental matrix for the system x'(t)=Ax(t); where
5 -3 -2
A = 8 -5 -4
-4 3 3

The second part of the question is to find eAt

Homework Equations



I know that you have to find the 3 eigenvectors and then the 'general solution' without putting the constants into the fundamental matrix. I'm having a super hard time finding the last eigen vector.

The Attempt at a Solution



I found the eigenvalues to be (λ-1)3
No, the eigenvalue is λ = 1.
sndoyle1 said:
and when I completed for the first λ=1 I found that v1=[1 4 0] and v2= [1 0 2].
You made a mistake in v1 - it isn't an eigenvector. You can check this by verifying that Av1 ≠ 1v1.

Your other eigenvector is correct.
sndoyle1 said:
I tried to generalize to find v3 by using (A-λI)v3=v2 but I keep getting an invalid system.

Any help would be great.
 
  • #3
And your matrix doesn't have three linearly independent eigenvectors. It only has two. If it had three it would be the identity matrix since it would be diagonalizable. I'm not sure what you mean by the 'fundamental matrix'. Can you define it?
 

FAQ: Finding a Fundamental Matrix for the System

What is a fundamental matrix for a system?

A fundamental matrix for a system is a matrix that contains information about the solutions to a system of linear differential equations. It is used to find a general solution to the system and can also be used to find specific solutions for different initial conditions.

How is a fundamental matrix calculated?

A fundamental matrix is calculated by finding the eigenvalues and eigenvectors of the coefficient matrix of the system. These eigenvalues and eigenvectors are then used to construct the fundamental matrix, which is typically written as a matrix exponential.

Why is a fundamental matrix useful?

A fundamental matrix is useful because it provides a general solution to a system of linear differential equations, which can be used to find specific solutions for different initial conditions. It also allows for the analysis and prediction of the behavior of the system over time.

Can a fundamental matrix be used for nonlinear systems?

No, a fundamental matrix can only be used for linear systems. Nonlinear systems do not have a unique fundamental matrix and require different methods of analysis.

How is a fundamental matrix related to the concept of stability?

A fundamental matrix is closely related to stability in a system. It can be used to determine the stability of the system by analyzing the eigenvalues of the matrix. If all eigenvalues have negative real parts, the system is stable; if any eigenvalue has a positive real part, the system is unstable.

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