Non trivial solution to a linear system

Hello,
I am trying to solve a linear system of the form A*x=B with A = K-eigenfreq1(3)*M and B = [0 0 0 0 0]'
K and M are 5x5 matrices and eigenfreq1(3) is just a scalar.
However whenever I use the A\B command to solve the system I get the trivial solution x=[0 0 0 0 0]' and I am told that this solution is not unique. Is there a way to get the other, non trivial, solutions?

4 Comments

out of curiosity, why do you not use the build in function eig ?
[ EigenModes , EigenFreq ] = eig( K , M );
Because whenever I do I get this error message that I dont know how to solve.
If you have encountered that before and can help it would be amazing thanks!
See below for an example. This way you obtain all the natural frequencies and the corresponding modes.
K = rand(5);
M = rand(5);
[ EigenModes , EigenFreq ] = eig( K , M )
EigenModes = 5×5
1.0000 -0.5408 0.3037 0.1309 0.1009 0.1474 -1.0000 -0.7636 -0.7115 -1.0000 -0.7752 -0.5870 -0.5500 -0.6974 0.0851 -0.8842 0.2302 1.0000 1.0000 0.2623 0.6343 0.0215 -0.5822 -0.2689 0.6139
EigenFreq = 5×5
-5.8058 0 0 0 0 0 1.5359 0 0 0 0 0 -0.4406 0 0 0 0 0 -0.0414 0 0 0 0 0 0.1681
EigenFreq = diag( EigenFreq )
EigenFreq = 5×1
-5.8058 1.5359 -0.4406 -0.0414 0.1681

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 Accepted Answer

VBBV
VBBV on 27 Oct 2022
Edited: VBBV on 27 Oct 2022
syms omega2
K = rand(5);
M = rand(5);
eigF = 0.1; % scalar
eqn1 = det(K-omega2*M) == 0;
eigenfreq1=vpasolve(eqn1,omega2)
eigenfreq1 = 
eigenmodes1 = (K-eigF*M)\ones(5,1) %
eigenmodes1 = 5×1
0.2999 1.0135 -0.1678 1.7206 -0.3961

1 Comment

VBBV
VBBV on 27 Oct 2022
Edited: VBBV on 27 Oct 2022
Since input B vector are all zeros, non-trivial solution dont exist. If your input vector are all ones you can get non-trivial solution

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More Answers (1)

Torsten
Torsten on 27 Oct 2022
Edited: Torsten on 27 Oct 2022
However whenever I use the A\B command to solve the system I get the trivial solution x=[0 0 0 0 0]' and I am told that this solution is not unique. Is there a way to get the other, non trivial, solutions?
null(A) gives you a basis for the kernel of A.

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R2022b

Asked:

on 27 Oct 2022

Commented:

on 27 Oct 2022

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