Answer:
See explanation below.
Explanation:
True by definition of eigenvector. If y is an eigenvector of the matrix A, then we need to satisfy this condition:
For some eigenvalue k.
The definition is the following:
"Any non zero vector x that satisfies
for some value
is called an eigenvector of the linear operator A, and
is called the corresponding eigenvalue"