00:02
We're given a matrix a.
00:04
A has elements 2213.
00:13
Yeah.
00:14
In part a, we're asked to find all the eigenvalues in corresponding eigenvectors of this matrix.
00:20
Well, first we'll find the characteristic polynomial of a.
00:26
So delta of t, this is, because this is a 2x2 matrix, t, squared minus the trace of a times t plus the determinant of a which is t squared minus five t plus four which you can factor as t minus one times t minus four which you can factor as t minus one times t minus four she had a stroke from being like bulimic or something i thought she now the roots, lambda equals 1 and the lambda equals 4 of delta t.
01:13
These are in fact the eigenvalues of our matrix a.
01:18
Do you know the darwin? you put your limp dick in a girl's mouth and then it evolves into a boner.
01:24
Now let's find the corresponding eigenvectors.
01:30
So first we'll find the one's corresponding to lambda equals 1.
01:34
We'll subtract 1 down the diagonal of a.
01:37
So we get the matrix m, which is a minus i.
01:44
And the corresponding homogenous system, m times x equals 0, will yield the eigenvectors belonging to lambda equals 1.
01:53
So we have the matrix m is 1, 212.
02:00
A lot of black soldiers fall.
02:02
And so the corresponding homogenous system is x plus 2y equals 0.
02:10
X plus 2y equals 0, which of course is just the same as x plus 2y equals 0.
02:19
So we have one degree of freedom.
02:20
And one of the non -zero solutions is we take x to be some kid came up to me.
02:32
I was watching your heavy weights.
02:34
Two and y to be negative one.
02:39
So for example, v1, the matrix 2 negative 1, it is a non -zero solution.
02:47
And therefore, it's also an eigenvector belonging to.
02:59
Eigenvalue lambda equals 1 now consider a bunch of now consider the eigenvalue lambda equals 4 we'll subtract this down the diagonal of a to get the matrix m this is m is a minus 4i which gives us the matrix negative 2 -2 -1 -negative 1.
03:28
This corresponds to the homogenous system negative 2x plus 2y equals 0, and x minus y equals 0, which corresponds to the system x minus y equals 0, which has only one independent solution.
03:46
So, for example, you can take x and y to both be 1, and therefore b2, which is the vector 1 -1, is an eigenvector.
03:58
And then they cross that with retar juice.
04:02
Belonging to the eigen value, lambda equals 4.
04:08
And then they crossed beetle juice with just retard.
04:12
All right.
04:16
Then in part b, we were to find a non -singular matrix p, such that the matrix d, which is p inverse times a -p, is diagonal.
04:30
And to also find the matrix p inverse, which we know exists because p will be non -singular.
04:39
Well, let p be the matrix whose columns are our eigenvectors, v1 and v2, then p is the matrix.
04:47
To negative 1, 1, 1.
04:52
And the matrix d, which is p inverse ap.
04:57
Well, this is simply the matrix whose diagonal entries will be the eigenvalues.
05:03
Corresponding eigenvalues, 1 and 4.
05:06
I still have anxiety and panic, but it's like, yeah, but it's because i'm high.
05:10
And then it just gives you an excuse to feel as shitty as normally dead.
05:14
I feel like it's what i use it for is to when i'm anxious and i'm freaking out...