MATLAB Solving equations problem

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感情败类 2021-01-25 17:32

I want to solve these equations using MATLAB and I am sure there is a non zero solution. The equations are:

0.7071*x            + 0.7071*z = x 
  -0.5*x +         


        
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  •  醉话见心
    2021-01-25 18:01

    You're looking for a non-trivial solution v to A*v=v with v=[x;y;z] and...

    A =
       0.70710678118655                  0   0.70710678118655
      -0.50000000000000   0.70710678118655   0.50000000000000
      -0.50000000000000  -0.70710678118655   0.50000000000000
    

    You can transform this into (A-I)v=0 where I is the 3x3 identity matrix. What you have to do to find a nontrivial solution is checking the null space of A-I:

    >> null(A-eye(3))
    
    ans =
    
       0.67859834454585
      -0.67859834454585
       0.28108463771482
    

    So, you have a onedimensional nullspace. Otherwise you'd see more than one column. Every linear combination of the columns is a point in this null space that A-I maps to the null vector. So, every multiple of this vector is a solution to your problem.

    Actually, your matrix A is a rotation matrix of the first kind because det(A)=1 and A'*A=identity. So it has an eigenvalue of 1 with the rotation axis as corresponding eigenvector. The vector I computed above is the normalized rotation axis.

    Note: For this I replaced your 0.7071 with sqrt(0.5). If rounding errors are a concern but you know in advance that there has to be a nontrivial solution the best bet is to do a singular value decomposition of A-I and pick the right most right singular vector:

    >> [u,s,v] = svd(A-eye(3));
    >> v(:,end)
    
    ans =
    
       0.67859834454585
      -0.67859834454585
       0.28108463771482
    

    This way you can calculate a vector v that minimizes |A*v-v| under the constraint that |v|=1 where |.| is the Euclidean norm.

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