Finding Constants for Linear Dependence in 3D Vectors

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In summary, the vectors are linearly dependent when the constants needed to show dependency are determined by Gaussian elimination.
  • #1
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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  • #2
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.
 
  • #3
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.
 
  • #4
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
 
  • #5
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.
 

FAQ: Finding Constants for Linear Dependence in 3D Vectors

What is the definition of "Linear Dependent Question"?

Linear dependent questions refer to a set of questions that are formulated in a way that the answer to one question is dependent on the answer to the previous question. This means that the answer to one question provides information or context for the next question.

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It depends on the research goal and context. Linear dependent questions can be effective in certain situations, such as when conducting structured interviews or surveys. However, they may not be suitable for all research designs and may limit the range of responses from participants.

What are some examples of linear dependent questions?

An example of a linear dependent question could be "Do you drink coffee in the morning?" followed by "How many cups of coffee do you typically drink in the morning?" The answer to the first question provides context for the second question and helps to narrow down the response.

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To ensure that linear dependent questions are effective, researchers should carefully plan and structure their questions in a logical order. They should also consider the potential bias that may arise from the linear dependent format and try to minimize it. Pilot testing can also help to identify any issues with the questions and make necessary revisions.

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