00:01
So in this question we're told that v is an eigenvector for the matrix a with eigenvalue 4.
00:05
So let me just recall what this means, and this means that a times v is equal to 4 times the vector v.
00:12
And we're asked to explain why v then is an eigenvalue for this matrix here, and what is an eigenvector for this matrix here, and what is the eigenvalue? so the reason first is that, okay, it's an eigenvalue, a eigenvector for a, so also for 2a.
00:26
Then everything is an eigenvalue for the identity.
00:28
Right, it's just identity applied to the vector.
00:31
It's always itself with eigenvalue 1.
00:35
And then for a squared, it's the same.
00:38
The composition of matrices, you keep the eigenvalues, right? but let's just make the calculation one by one.
00:44
So a squared applied to v.
00:46
Let's see what we would get.
00:47
So this is a of a times v.
00:50
Okay, so now a times v is 4v...