System of Differential equations with a singular coefficient matrix, help?

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Discussion Overview

The discussion revolves around solving a system of differential equations characterized by a singular coefficient matrix. Participants explore methods for finding solutions, including the use of eigenvalues and eigenvectors, matrix exponentials, and alternative approaches to handle the non-diagonalizable nature of the matrix.

Discussion Character

  • Technical explanation
  • Mathematical reasoning
  • Homework-related

Main Points Raised

  • One participant describes their attempt to use undetermined coefficients to solve the system but feels they are missing something, specifically regarding the eigenvector and the completeness of their solution.
  • Another participant suggests that the matrix A is not diagonalizable and proposes using Jordan form and matrix exponentials to find the fundamental solution of the system.
  • A different approach is mentioned, where one participant rewrites the system of equations to find independent solutions without relying on Jordan form.
  • One participant realizes that they need to create a new vector U instead of just using the eigenvector V to find a complete solution.
  • Another participant emphasizes the importance of initial conditions in determining the coefficients of the solution.

Areas of Agreement / Disagreement

Participants express various methods for approaching the problem, indicating that there is no consensus on a single solution method. Multiple competing views on how to handle the singular coefficient matrix and the associated solutions remain present.

Contextual Notes

Some participants note the potential need for initial conditions to solve for coefficients in the solution, but the discussion does not resolve the implications of these conditions or how they integrate with the proposed methods.

Who May Find This Useful

Students and practitioners interested in differential equations, particularly those dealing with systems characterized by singular matrices and seeking various methods for solution approaches.

aeroegnr
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I tried using undetermined coefficients to solve this problem, but I know that I am missing something and i cannot find any reference material on this. If you help me, thank you.

The homogeneous equation for the system is:

y' = A*y

where y = [tex]\left[ \begin{array}{c} y_1 \\ y_2 \end{array} \right][/tex]

and A = [tex]\left[ \begin{array}{cc} -2 & 1 \\ -1 & 0 \end{array} \right][/tex]

I end up with only one eigenvector of course, and I'm trying to use a solution that ends up as C1*V*[tex]e^t[/tex] + c2*V*[tex]t*e^t[/tex] where V is the only eigenvector of A, but that is not a complete solution.

What am I missing?
 
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I suppose there is a general way to solve this type of linear constant coefficient differential equations.

I suppose you mean A is not diagonalisable? But A can always be reduced to a matrix in Jordan form. Do you know what is "matrix exponential"? The "fundamental solution" of the system is given by exp(tA). (The fundamental solution is a matrix whose columns are solutions of the system and linearly independent.) When A is reduced to a matrix in Jordan form, the "matrix exponential" is readily computable. So I think that is the solution you want?

And I think there is a way to solve this without using Jordan form? your equation reads
y1'=-2*y1+y2
y2'=-y1
That is
y1''=-2*y1'+y2'=-2*y1'-y1
which is readily solvable. From this you might obtain two independent solutions. Plug them into the other equation to obtain the solution to the system.
 
Last edited:
I found out what the problem was, I had to create a new vector U instead of just using V.

Thanks Wong, but I'm taking an advanced math class where they are teaching us how to use linear algebraic methods to solve differential equations.
 
aeroegnr said:
I tried using undetermined coefficients to solve this problem, but I know that I am missing something and i cannot find any reference material on this. If you help me, thank you.

The homogeneous equation for the system is:

y' = A*y

where y = [tex]\left[ \begin{array}{c} y_1 \\ y_2 \end{array} \right][/tex]

and A = [tex]\left[ \begin{array}{cc} -2 & 1 \\ -1 & 0 \end{array} \right][/tex]

I end up with only one eigenvector of course, and I'm trying to use a solution that ends up as C1*V*[tex]e^t[/tex] + c2*V*[tex]t*e^t[/tex] where V is the only eigenvector of A, but that is not a complete solution.

What am I missing?

Initial conditions perhaps?
 
eJavier said:
Initial conditions perhaps?

initital condition only solve for coefficient of the Y solution. like his c1, c2

first find ur eigenvalues then find ur eigenvectors and use that egeinvector in the Y solution.
 

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