Finding Constants for Linear Dependence in 3D Vectors

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Discussion Overview

The discussion revolves around the determination of constants that demonstrate the linear dependence of three vectors in 3D space. Participants explore methods for finding these constants, particularly focusing on the use of Gaussian elimination and the formulation of equations from the vectors.

Discussion Character

  • Mathematical reasoning
  • Homework-related

Main Points Raised

  • One participant presents a set of vectors and states they are linearly dependent, questioning how to find the constants that confirm this.
  • Another participant suggests starting with the equation xA + yB + zC = 0 to derive a system of equations, implying that Gaussian elimination could be a valid method.
  • A participant expresses confusion over the elimination process and the resulting equations, indicating difficulty in arriving at the expected constants.
  • Another participant corrects the initial equations provided, offering the correct system to use for Gaussian elimination.
  • A later reply acknowledges the error in the initial equations and expresses relief at having the correct starting point, indicating a learning moment in the process.

Areas of Agreement / Disagreement

Participants do not reach a consensus on the initial approach to the problem, as there is confusion regarding the formulation of the equations. However, there is agreement on the use of Gaussian elimination once the correct equations are established.

Contextual Notes

There are limitations in the initial understanding of the problem, particularly regarding the formulation of the equations needed for Gaussian elimination. The discussion reflects a learning process with corrections made along the way.

bryanosaurus
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Going through a mathematical physics book in the section about vector spaces, in the section showing how to prove vectors are linearly dependent their example is:

Two vectors in 3-d space:

A = i + 2j -1.5k
B = i + j - 2k
C = i - j - 3k

are linearly dependent as we can write down

2A - 3B + C = 0

I understand the concept of linear dependence, and why the answer makes sense (non-zero constants exist) but my question is how they determined the constants needed to show the vectors are dependent. My first thought was Gaussian elimination but I don't think that's correct.

Any help would be appreciated.
 
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You're right in suspecting Gaussian elimination as one way to find them, but can you figure out why?
Start with xA + yB + zC = 0 where x, y, and z are the unknown constants and try and solve for them. You should find a system of three equations in three unknowns.

Also, welcome to PF.
 
Thank you. So I get something like this (eliminating x):

x + 2y - 1.5z = 0
-y - .5z = 0
-3y - 1.5z = 0

I can't remember how to solve a set of equations like this where they are all set to zero.
I thought the process was once a variable is eliminated, to solve for say cy = z
then set z=t and try to plug back to find x. When I do this, I do not come up with 2, -3, 1 or any multiples of them.
 
Your starting equations should have been:
x + y + z = 0
2x + y - z = 0
-1.5x - 2y - 3z = 0

From this, put it into a matrix and use Gaussian elimination. If you don't know what I'm talking about, you should start from the beginning of linear alg.
Here's some notes for a introduction to linear algebra class for reference.
http://tutorial.math.lamar.edu/Classes/LinAlg/LinAlg.aspx
 
Vid said:
Your starting equations should have been:
x + y + z = 0
2x + y - z = 0
-1.5x - 2y - 3z = 0

I know how to use Gaussian, but when I originally worked it out I had put the starting equations in wrong. That's why in the OP I thought I was wrong for using that method. Now that you posted the correct starting equations, I see my error. Thanks a lot, I sure wasted a lot of time getting hung up on a simple problem haha.
 

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