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Solving System of Linear Equations with matrix operations

조회 수: 3 (최근 30일)
Robert
Robert 2014년 1월 20일
댓글: Robert 2014년 1월 20일
I have a system of linear equations for a problem that can be generically expressed as Ax = b. Where b and A are both 3x1 matrices. I need to solve for the coefficients of x, given that x is a 3x3 matrix. I am having trouble figuring out how to do so, I have tried the backslash operator but without any luck. Thank you
  댓글 수: 4
Amit
Amit 2014년 1월 20일
You are very clear indeed. However, like I said, you are trying to solve 9 variables using 3 equation. Unless there are some other constrains you did not mentioned, you will get infinite solutions.
In simple ways, you can pick 6 random numbers from real number space, and solve for the rest 3 unknowns in your 3x3 matrix.
Mischa Kim
Mischa Kim 2014년 1월 20일
편집: Mischa Kim 2014년 1월 20일
Careful, indeed. You are most likely working on a specfic set of problems (isotropic, linear, e.g.) for which a set of constraints needs to be satisfied.

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채택된 답변

Mischa Kim
Mischa Kim 2014년 1월 20일
Typically, x = A \ b works well. Make sure b is a column vector. Try:
A = rand(3);
b = [1; 2; 3];
x = A \ b;
  댓글 수: 1
Robert
Robert 2014년 1월 20일
Thank you, however I am trying to solve for the 3 x 3 matrix. The two 3 x 1 matrices are known values.

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추가 답변 (1개)

John D'Errico
John D'Errico 2014년 1월 20일
As has been pointed out, this is impossible to do, at least if you want a unique solution. Time for you to do some reading in linear algebra.
Effectively the problem reduces to wanting to solve for 9 unknowns, but with only 3 pieces of information, so 3 stresses and corresponding strains. Actually, you gain a bit, since we know the matrix must be symmetric. So really there are only 6 unknowns, but even so, this is still insufficient information to learn the complete 3x3 matrix, and to do so uniquely.
Sorry, but merely wanting to do something is not sufficient for it to happen, even if you want it badly enough. Else there would be leagues and leagues of people all having won the lottery.

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