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anonymous
 3 years ago
how do you find out if a vector is linearly dependent or not?
anonymous
 3 years ago
how do you find out if a vector is linearly dependent or not?

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anonymous
 3 years ago
Best ResponseYou've already chosen the best response.0so for vectors v1,v2,v3,v4,........vn there exists scalars s1,s2,s3,s4......sn such that s1*v1 +s2*v2+ s3*v3 +.......................................sn*vn=0 then vectors v1,v2 ..... vn are linearly independent if each of s1,s22,s3...sn is 0 and linearly dependent if at least one of s1,s22,s3...sn is not 0

anonymous
 3 years ago
Best ResponseYou've already chosen the best response.0soo if my vectors are [0 2 3], [0 0 8], and [1 3 1], they would be independent?

KingGeorge
 3 years ago
Best ResponseYou've already chosen the best response.1I believe those would be independent. Suppose that there are some scalars \(c_1,c_2\in\mathbb{R}\) such that \[c_1\cdot[0,2,3]+c_2[0,0,8]=[1,3,1]\]So\[[0,2c_1,3c_1]+[0,0,8c_2]=[1,3,1]\]However, \(0+0=0\neq1\) for any choice of \(c_1\) and \(c_2\). You can make similar arguments to show that \([0,2,3]\) and \([0,0,8]\) are similarly independent. This would show that all three are linearly independent.

anonymous
 3 years ago
Best ResponseYou've already chosen the best response.0woahhh that makes so much sense! [: thank you :) can you make that argument all the time?

KingGeorge
 3 years ago
Best ResponseYou've already chosen the best response.1You can try to make that argument. If you're working in \(\mathbb{R}\) or the complex numbers, it's usually fairly straightforward (at least in what you will be expected to do). An alternative method, which works particularly well when you have 3 or 2dimensional vectors, is to put them in a matrix. \[\begin{bmatrix}1&3&1\\0&2&3\\0&0&8\end{bmatrix}\]If you can rowreduce to this form, they're linearly independent.

KingGeorge
 3 years ago
Best ResponseYou've already chosen the best response.1Another thing to watch for, is the dimension of the vector space. If you have an \(n\) dimensional vector space, and \(m\) vectors, where \(m>n\), then your vectors are not linearly independent.
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