find the basis of the subspace of R^3 that's spanned by the vectors. v1=(1,0,0) v2=(1,1,0) v3=(2,1,0) v4=(0,-1,0)
now a basis is defined as a spanning set using a minimum of vectors, right?l
right
can you row reduce these? or would that take to long?
into row echelon form?
1 1 2 0 0 1 1-1 0 0 0 0 yeah
I'm confused on that..am i suppose to make the supper triangle all 0's or the lower triangle?
upper*
1 0 0 1 1 0 2 1 0 0 -1 0 1 0 0 0 1 0 1 1 0 0 -1 0 1 0 0 0 1 0 0 1 0 0 -1 0 1 0 0 0 1 0 0 -1 0 1 0 0 0 1 0 0 0 0 100 and 010 if i did the process roght
i dont think i did it right ...
isn't it 4 columns?
wasnt sure, its been awhile, was about to try it 1 1 2 0 0 1 1-1 0 0 0 0
1 0 1 1 0 1 1-1 0 0 0 0 i think this means v1 and v2 we can always check and see
so check for determinant not 0?
let A be the vector span v1 v2 v3 v4 we dont have a square matrix
see if for some vector a,b that av1 + bv2 = v3 and v4
v1=(1,0,0) v2=(1,1,0) v3=(2,1,0) v4=(0,-1,0) 1a +1b = 2 0a +1b = 1, b=1, so a=1 works 0a +0b = 0 1a +1b = 0 0a +1b = -1, b=-1, so a=1 works 0a +0b = 0
so v1 and v2 form a basis for the span since we can find some vector a,b that creates a linear combination of all the vectors present
lol, i just remembered, tht the long version and the echelon version tell us the same thing
1 1 2 0 0 1 1-1 0 0 0 0 to 1 0 1 1 0 1 1-1 0 0 0 0 ^ ^ 1,-1,0 ^ ^ 1,1,0 so the first 2 vectors reduce to a square matrix, and the other 2 reduce to the linear solutions results
ok
i have another question. can i just type in here?
sure
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