00:01
The orthogonal projection of v onto the subspace span by the given vectors, let's call them w1 and w2.
00:14
So the projection of v onto capital v is the projection of v onto w1 plus the projection of v onto w2.
00:30
Okay, so that's going to be v dot w1 over the length of w1 squared.
00:36
The direction w1 plus v dotted with w2 over the length of w2 squared in the direction w2.
00:47
Okay, so the dot product is the sum of the product of corresponding core components.
00:54
So 2 times 2 is 4, 7 times negative 2 is negative 14, negative 15 times 1 is negative 15, negative 7 times negative 3 is 21.
01:07
The length of w1 squared is just the sum of squares of components.
01:12
So it's going to be 4, 4, 1, and 9.
01:19
All right, v.
01:21
W2, that's going to be 2 times 4, 8, 7 times negative 4 is negative 28, negative 15 times negative 16, 15, 240, and then 7 times 0 0.
01:45
Okay, and then the squares of the components can be 16, 16, and 256.
01:54
And then 0.
02:00
Also we have going to be 4 minus 14, minus 15 plus 21, divided by 4 plus 1 plus 9.
02:18
So we have negative 2 9s, 1 plus, and then the second guy we're going to have 8 minus 28 plus 240 divided by 16, 16, and 256...