Subspace projection matrix example | Linear Algebra | Khan Academy

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Күн бұрын

Пікірлер: 16
@UnwrittenLines
@UnwrittenLines 14 жыл бұрын
Thanks this helped so much. I can't express my gratitude. Keep up the good work.
@s.gorelski5277
@s.gorelski5277 3 ай бұрын
The basis set for A is not orthogonal here. The dot product of [1 0 0 1] and [0 1 0 1] is one, not zero. So, all those remaining calculations are faulty.
@rbmherbert
@rbmherbert 13 жыл бұрын
this is super helpful- thank you so much!
@saca8811
@saca8811 12 жыл бұрын
what software are u using to write with?
@LuisArosIllanes
@LuisArosIllanes 14 жыл бұрын
thanks, greetings from chile
@eliordadon2938
@eliordadon2938 Жыл бұрын
if X has d+1 columns, why the sum of all the elements in P are equal to d+1? why 0
@ryanjin8343
@ryanjin8343 5 жыл бұрын
What if you try to project R5 onto this subspace? How would you multiply the 1x5 vector by a 4x4 matrix
@bhaskarrao5254
@bhaskarrao5254 5 жыл бұрын
In that case the basis will also be 1x5 and the matrix A will also have no. Of rows = 5.....hence altogether u will get a 5x5 matrice at the end
@randombossgamer1175
@randombossgamer1175 2 жыл бұрын
ty!
@daphnem4882
@daphnem4882 2 жыл бұрын
where do you get matrix A from?
@daphnem4882
@daphnem4882 2 жыл бұрын
like i know he gets it from the span of V but if im working with the subspace x+2y+3z=0, how do i find the columns for A
@RohanShah-k4j
@RohanShah-k4j 10 ай бұрын
How can i do this FASTER?"
@aamailhot
@aamailhot 12 жыл бұрын
this is the foundation of science here...which means boring but useful. deal with it, freshman.
@ABIYSCGSTEGD
@ABIYSCGSTEGD 7 жыл бұрын
This video is #112 in this series. Why is time wasted working out every step of the dot product and matrix multiplication? After 111 videos, don't students know this? This makes this video way longer than it needs to be and takes the focus off the main ideas.
@jeevan288
@jeevan288 6 жыл бұрын
You can skip to the part where he finishes doing it.
@StAchezlesMacs
@StAchezlesMacs 12 жыл бұрын
just technic.. not science..boring..
Linear subspaces | Vectors and spaces | Linear Algebra | Khan Academy
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