Mathematica problem, nontrivial solution for matrix equation Ax=0

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The discussion centers on obtaining non-trivial solutions for the matrix equation Ax=0, specifically in the context of calculating eigenvectors using the equation (M - a_1*I)x = 0. A non-trivial solution exists if matrix A is not one-to-one, which is equivalent to having a determinant of 0 and 0 as an eigenvalue. To find eigenvalues, one must solve the equation det(A - λI) = 0, where λ represents the eigenvalue. If λ is indeed an eigenvalue, the equation Ax = λx will yield non-trivial solutions, indicating dependent equations among the components of x.

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Uncle_John
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Hey, how can i get a non trivial solution from matrix equation Ax=0

more precisely, i want to calculate eigenvectors : (M- a_1*I)x = 0, i keep getting x=0.
 
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The equation Ax= 0 has a non-trivial solution if and only if A is not one-to-one. That is the same as saying that its determant is 0 and that it has 0 as an eigenvalue. The standard way to find an eigenvalue, \lambda for matrix A is to solve the equation det(A- \lambda I)= 0. If A is an n by n matrix, that will be a polynomial equation of degree n and so has n solutions (not necessarily all distinct, not necessarily real).

IF \lambda really is an eigenvalue, then Ax= \lambda x or <br /> Ax- \lambda x= (A- \lambda I)x= 0 has, by definition of "eigenvalue", a non-trivial solution. That is, some of the equations you get by looking at individual components will be dependent. Note that x= 0 always will be a solution, just not the only one.

Perhaps if you posted a specific example, we could point out errors. The most obvious one, if you "keep getting x=0", is that what you think is an eigenvalue really isn't!
 

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