Jordan D. Webster describes how any transformation on R^n has an associated matrix which gives T(x)=Ax for all vectors x. He also describes the ideas of a Transformation being one to one and being onto.
Nice videos Jordan, I'm learning freely from your resources. GOD bless you. I have a question about an example 21:12 How we multiplied [4 -2 3] with [1 0] I'm stuck on it, please help. Thanks!
Hi, When you are multiplying these are 3 by 2 matrices. I did not write the first column since those numbers would have been multiplied times 0. So the matrix is [4 , x // -2 , y // 3 , z] where the x, y, and z could be anything. (We find out what those numbers have to be using the second multiplication)
I cant stop myself appreciating your teaching, and efforts you took in creating this masterpiece, Thank you
you actually took a over an hour explaining this so clearly and concisely. Thank you so much for doing this, and helping us. WOWWW
Thank you so much! Best explanation so far online and really helped me.
This is how a teach video should be done, simple and straightfoward
thank you so so much for making this awesome video... my professor taught this for 2 hours straight but i didnt understand a single thing
Same
You just saved me bro. Thank you
This is excellent, thank you so much.
Thanks for d lesson
Thank you
Nice videos Jordan, I'm learning freely from your resources. GOD bless you.
I have a question about an example 21:12
How we multiplied
[4
-2
3]
with
[1
0]
I'm stuck on it, please help.
Thanks!
Hi, When you are multiplying these are 3 by 2 matrices. I did not write the first column since those numbers would have been multiplied times 0. So the matrix is [4 , x // -2 , y // 3 , z] where the x, y, and z could be anything. (We find out what those numbers have to be using the second multiplication)
@@jordanwebster3272 I was just confused how those vectors were multiplied. Thanks for explaining it.
can you make your notes avail to download?