Calculate the eigenvalues and eigenvectors of a 5-by-5 magic square matrix
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Consider an n × n matrix A and a scalar λ. By
definition λ is an eigenvalue of A if there is a
nonzero vector ~v in Rn such that
A~v = λ~v
λ~v − A~v = ~0
(λIn − A)~v = ~0
An an eigenvector, ~v needs to be a nonzero
vector. By definition of the kernel, that
ker(λIn − A) 6= {~0}.
(That is, there are other vectors in the kernel
besides the zero vector.)
Therefore, the matrix λIn−A is not invertible,
and det(λIn − A)=0.
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