Short Notes: Eigendecomposition of a Matrix
A vector
for a scalar value
We can now ‘horizontally’ stack the eigenvectors into a matrix
Multiplying
If we compare Eq.
If we now define a diagonal matrix carrying the eigenvalues
we see that
which is equal to Eq.
One final rearrangement – post-multiplying Eq.
Eq.
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