Question #47f8c

1 Answer
Feb 21, 2018

False

Explanation:

For a statement to be false, a single counterexample is enough. The identity matrix does satisfy #A^2=A# - but its only eigenvalues are 1. On the other hand any square null matrix satisfies this equation as well - but its only eigenvalues are 0.

Of course, if #A^2 =A# and #x# is an eigenvector of #A# belonging to eigenvalue #lambda #, then

#A^2x=Ax implies lambda^2x=lambda x implies lambda^2 = lambda#
this means that the only possible values of an eigenvalue is given by 0 or 1 - but this does not imply that both values have to be available for every matrix that obeys #A^2=A#