Linear Combination Method: Are These Vectors Non-Coplanar or Independent?

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Homework Help Overview

The discussion revolves around determining whether the given vectors d = [2,-1,-2], e = [1,1,1], and f = [1,-5,8] are non-coplanar or independent using the linear combination method. The context includes concepts from linear algebra, specifically related to vector independence and determinants.

Discussion Character

  • Exploratory, Conceptual clarification, Mathematical reasoning

Approaches and Questions Raised

  • Participants explore various methods to demonstrate vector independence, including the use of Cramer's Rule, determinants, and the definition of linear independence. Questions arise regarding the necessity of specific methods and the interpretation of the linear combination method.

Discussion Status

The discussion is active, with participants providing different perspectives on how to approach the problem. Some suggest using determinants directly, while others question the reliance on Cramer's Rule. There is a sense of collaborative exploration, but no consensus has been reached on a single method.

Contextual Notes

Participants note the importance of understanding the properties of matrices related to linear independence and the implications of using different methods to solve the problem. There is also a mention of a new question regarding perpendicular vectors, indicating a shift in focus within the thread.

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[SOLVED] Linear Combination Method

Homework Statement


Show, using the linear combination method, that the vectors below are non-coplanar or independent. Be complete
d= [2,-1,-2], e=[1,1,1] , and f = [1,-5,8]

Homework Equations


Ok so I'm assuming, I am supposed to use Cramer's Rule here. But the problem is I don't fully understand it.

The Attempt at a Solution

 
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Just find the magnitude of the determinant.
 
Why do you have to use Cramer's rule? There are many ways to do the question. One way, as Shooting star has pointed out, but not fully enough is to treat the three vectors as row vectors in a 3x3 matrix. Now what do you remember of the properties of a matrix whose row vectors are linearly independent?
 
What, exactly do you mean by "the linear combination method"? I would think that it just means to use the definition of "independent"- that the only way a linear combination of the vectors can be 0 is if the coefficients are all 0: Show that
\alpha [2, 1, -2]+ \beta [1, 1, 1]+ \gamma [1, -5, 8]= [0, 0, 0] only if \alpha= \beta= \gamma= 0.
 
Why not take the shortcut and arrange the three vectors as three rows and show that the det not equal to 0? He will be finding the det anyway to solve the eqns, if he uses Kramer's rule.
 
OK, thanks for your input, I think I have it now.
 
New Question... Given that the two vectors u=(2a+b) and v=(4a-3b) are perpendicular and that |a|=3 and |b|=6, then find the angle between a and b.

So I pretty sure i need to set the dot product of u and v = to zero. Then there is probably some sort of way to rearange it, of which I am not sure.
 
Just take the scalar product of u and v, which is zero. You'll get terms containing a^2, b^2 and a.b. So, find cos theta.
 
Thanks for your help.
 

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