Answer:
Step-by-step explanation:
It is a result that a matrix is orthogonally diagonalizable if and only if is a symmetric matrix. According with the data you provided the matrix should be
We know that its eigenvalues are , where has multiplicity two.
So if we calculate the corresponding eigenspaces for each eigenvalue we have
,.
With this in mind we can form the matrices that diagonalizes the matrix so.
and
Observe that the rows of are the eigenvectors corresponding to the eigen values.
Now you only need to normalize each row of dividing by its norm, as a row vector.
The matrix you have to obtain is the matrix shown below
50 is 46.82 rounded to the nearest ten
Answer:87.965
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0 right? It's not changing at all.