Non trivial solution to a linear system

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Serge El Asmar
Serge El Asmar il 27 Ott 2022
Commentato: Karim il 27 Ott 2022
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 Commenti
Serge El Asmar
Serge El Asmar il 27 Ott 2022
If you have encountered that before and can help it would be amazing thanks!
Karim
Karim il 27 Ott 2022
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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VBBV
VBBV il 27 Ott 2022
Modificato: VBBV il 27 Ott 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 Commento
VBBV
VBBV il 27 Ott 2022
Modificato: VBBV il 27 Ott 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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Più risposte (1)

Torsten
Torsten il 27 Ott 2022
Modificato: Torsten il 27 Ott 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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