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
Answer:
A.
Step-by-step explanation:
If you put the x value of the table and use it in each equation, only one gives the y output on the table.
y=x + 4
5=1 + 4
6=2+4
7=3+4
8=4+4
9=5+4
Answer:
The answer already exists in your question...
That is correct expansion
(X-7)(x-1)
Minimal x values=7,1
Not the same x value
7 is the greater minimal value