Finding basis and dimension of W = {(a,b,c,0)} where abc are real numbers

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Discussion Overview

The discussion revolves around finding the basis and dimension of the subspace W = {(a,b,c,0)} where a, b, and c are real numbers. Participants explore concepts related to linear independence, spanning sets, and the properties of vector spaces, particularly in the context of R^4 and R^3.

Discussion Character

  • Technical explanation
  • Conceptual clarification
  • Debate/contested
  • Mathematical reasoning

Main Points Raised

  • One participant suggests that the dimension of W could be 4, questioning how to determine a basis.
  • Another participant proposes specific vectors v1=(1,0,0,0), v2=(0,1,0,0), and v3=(0,0,1,0) as candidates to check for spanning and linear independence.
  • It is noted that W is a three-dimensional subspace of R^4, with a representation of vectors in W expressed as linear combinations of the proposed basis vectors.
  • Further discussion includes a question about the basis for a line joining two points in R^3, with clarification that a line must pass through the origin to be a subspace.
  • Participants discuss the method of finding equations for a line given two points and the implications for vector spaces.

Areas of Agreement / Disagreement

There is no consensus on the dimension of W, as one participant suggests it could be 4 while others clarify that it is actually three-dimensional. The discussion about the basis for the line joining two points also reveals uncertainty, particularly regarding the conditions for a line to be a subspace.

Contextual Notes

Participants express various assumptions about linear independence and spanning sets, and there are unresolved questions about the nature of vector spaces and the conditions required for a line to be considered a subspace.

Who May Find This Useful

This discussion may be useful for students and practitioners in mathematics and physics who are exploring concepts of vector spaces, linear algebra, and the properties of subspaces in higher dimensions.

mitch_1211
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With normal vectors i usually check there is the correct number of vectors i.e 3 for R3 2 for R2 etc and then just check for linear independence but reducing the matrix that results from c1v1+c2v2+..cnvn=0 and determining of unique solution or infinite solutions. There are the right number of vectors, so spanning will automatically follow if the vectors are linearly independent.

The dimensions of R3 is 3 right? DimR2=2, DimP3=4?

In this case is the dimension of W = {(a,b,c,0)} where abc are real numbers 4?

Also how would i go about determining a basis?

Thanks!

Mitch
 
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Try the vectors v1=(1,0,0,0), v2=(0,1,0,0) and V3=(0,0,1,0) , see if they span
(they are clearly LI ).
 
That is a three dimensional subspace of R4.

Note we can write (a, b, c, 0)= (a, 0, 0, 0)+ (0, b, 0, 0)+ (0, 0, c, 0)= a(1, 0, 0, 0)+ b(0, 1, 0, 0)+ c(0, 0, 1, 0).
 
Last edited by a moderator:
So, Ivy, what's wrong with my post?
 
I didn't say there was anything wrong. I was just pointing out to mitch_1211 how he could have seen your answer directly from the given information.
 
HallsofIvy said:
Note we can write (a, b, c, 0)= (a, 0, 0, 0)+ (0, b, 0, 0)+ (0, 0, c, 0)= a(1, 0, 0, 0)+ b(0, 1, 0, 0)+ c(0, 0, 1, 0).

Thanks, i figured that what Bacle was referring to. These type of problems are actually quite simple when you realize that the vectors you pull out are the vectors that span the space.

Thanks again to both of you.
 
I actually have one more question,
I have a feeling that the basis for the line joining (3/2 , 2 , 1) and (3 , 4 , 2) is
(3/2 , 2 , 1) but I'm not sure how to show this is the case...
 
If you mean that as a line in R^3, then it must go thru the origin for it to be

a subspace of R^3. Then any vector in the line, e.g., the segment from 0 to P,

for some point P in the line, would be a basis for the line.
 
so the point (3/2,2,1) would be a basis?
 
  • #10
Well, if the line goes thru the origin, then any vector in the line , e.g., the

vector from (0,0,0) to any point would generate the line. Usually we scale

vectors, not points; given a vector v=(a,b,c) thru the origin, then:

(ta,tb,tc) : t in R determines a line thru the origin, and, conversely, any

line thru the origin is ( can be ) determined this way.
 
  • #11
mitch_1211 said:
I actually have one more question,
I have a feeling that the basis for the line joining (3/2 , 2 , 1) and (3 , 4 , 2) is
(3/2 , 2 , 1) but I'm not sure how to show this is the case...
With the (a, b, c) notation, it is difficult to distinguish between vectors and points. Do you mean the line containing the points (3/2, 2, 1) and (3, 4, 2)? The standard method of finding equations for the line given two points is to form the vector from one point to the other: <3- 3/2, 4- 2, 2- 1>= <3/2, 2, 1> and then combining that with one of the points:
x= 3/2t+ 3/2, y= 2t+ 2, z= t+ 1. A difficulty with that is that a line through two given points does NOT in general pass through the origin and so does NOT form a vector space. It happens here that, because (3, 4, 2)= 2(3/3, 2, 1) that this line does pass through the origin so we can use (0, 0, 0) as a given point and write x= 3/2 t+ 0, y= 2t+ 0, z= t+ 0 or <x, y, z>= <3/2t, 2t, t>= <3/2, 2, 1>t.

That is, {<3/2, 2, 1>} spans the subspace. Of course, so does any multiple, like {<3, 4, 2>}
 

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