Basis for Subspace: Find & Check LI

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Homework Help Overview

The discussion revolves around finding the basis for the subspace defined by the equation 4x + y - 3z = 0. Participants are exploring the concept of linear independence in the context of the proposed basis vectors.

Discussion Character

  • Conceptual clarification, Mathematical reasoning, Assumption checking

Approaches and Questions Raised

  • Participants discuss the definition of linear independence and how to apply it to the proposed basis vectors. There is confusion about the nature of the subspace and the implications of the zero vector in the context of linear combinations.

Discussion Status

Some participants have provided guidance on how to demonstrate linear independence, while others express uncertainty about the definitions and the implications of the linear expression versus the subspace. The discussion is ongoing, with some participants seeking further clarification on the concepts involved.

Contextual Notes

There is a noted confusion regarding the interpretation of the original problem statement, particularly the importance of the "= 0" in defining the subspace. Additionally, participants are grappling with the implications of the basis vectors and their linear independence.

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Homework Statement



Find the basis for the subspace 4x+y-3z


The Attempt at a Solution



I found that the basis is {[1;-4;0],[0;3;1]}. How do I know if it is linearly independent? I know that the mathematical definition of what LI is but how can it be applied to show in this case?
 
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negation said:

Homework Statement



Find the basis for the subspace 4x+y-3z
That is not a subspace- it is a linear expression! I suspect that you mean "Find a basis for the subspace of R3 of all (x, y, z) satisfying 4x+ y- 3z= 0".
(If you had written "Find a basis for the subspace 4x+ y- 3z= 0" I would have had no problem, interpreting it a short hand for the above. But the "= 0" is important. Also note "a basis" not "the basis". Any vector space or subspace has an infinite number of bases.)

The Attempt at a Solution



I found that the basis is {[1;-4;0],[0;3;1]}. How do I know if it is linearly independent? I know that the mathematical definition of what LI is but how can it be applied to show in this case?
The definition of "u, v are Linearly Independent" is that "if au+ bv= 0 then a= b= 0". Applied here, that would be a[1; -4; 0]+ b[0; 3; 1]= [a; -4a+ 3b; b]= [0; 0; 0] which tells you that a= 0; -4a+ 3b= 0; b= 0. The first and third equations tell you everything you need to know, don't they?
 
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HallsofIvy said:
That is not a subspace- it is a linear expression! I suspect that you mean "Find a basis for the subspace of R3 of all (x, y, z) satisfying 4x+ y- 3z= 0".
(If you had written "Find a basis for the subspace 4x+ y- 3z= 0" I would have had no problem, interpreting it a short hand for the above. But the "= 0" is important. Also note "a basis" not "the basis". Any vector space or subspace has an infinite number of bases.)



The definition of "u, v are Linearly Independent" is that "if au+ bv= 0 then a= b= 0". Applied here, that would be a[1; -4; 0]+ b[0; 3; 1]= [a; -4a+ 3b; b]= [0; 0; 0] which tells you that a= 0; -4a+ 3b= 0; b= 0. The first and third equations tell you everything you need to know, don't they?

How do I know a[1;-4;0]+b[0;3;1] =[0;0;0]? Does it entails from the initial premise that
4x + y - 3z = 0?

secondly, we now know the basis B to be {[1;-4;0],[0;3;1]}

Suppose then [w]B = [-2;4], what then is [w]s?

This is a fairly simple question but the confusion stems from the fact that I am still fuzzy about how I should determine the direction of the change of coordinate of the basis B. From which coordinates to which does the basis b purports the movement to be?
If I know the basis B maps the coordinates from, for instance, a to b then I could set the equation up as [x]a = Bab[x]b
 
HallsofIvy said:
The definition of "u, v are Linearly Independent" is that "if au+ bv= 0 then a= b= 0". Applied here, that would be a[1; -4; 0]+ b[0; 3; 1]= [a; -4a+ 3b; b]= [0; 0; 0] which tells you that a= 0; -4a+ 3b= 0; b= 0. The first and third equations tell you everything you need to know, don't they?

negation said:
How do I know a[1;-4;0]+b[0;3;1] =[0;0;0]?

You are wanting to show those two vectors are linearly independent. What about Hall's explanation don't you understand?
 
LCKurtz said:
You are wanting to show those two vectors are linearly independent. What about Hall's explanation don't you understand?

Hi Kurtz,

That wasn't what I wanted. I read my notes and it says that the basis is linearly independent.
Where did the zero vector came from?
 
negation said:

Homework Statement



Find the basis for the subspace 4x+y-3z


The Attempt at a Solution



I found that the basis is {[1;-4;0],[0;3;1]}. How do I know if it is linearly independent? I know that the mathematical definition of what LI is but how can it be applied to show in this case?

HallsofIvy said:
The definition of "u, v are Linearly Independent" is that "if au+ bv= 0 then a= b= 0". Applied here, that would be a[1; -4; 0]+ b[0; 3; 1]= [a; -4a+ 3b; b]= [0; 0; 0] which tells you that a= 0; -4a+ 3b= 0; b= 0. The first and third equations tell you everything you need to know, don't they?

negation said:
How do I know a[1;-4;0]+b[0;3;1] =[0;0;0]?

LCKurtz said:
You are wanting to show those two vectors are linearly independent. What about Hall's explanation don't you understand?

negation said:
Hi Kurtz,

That wasn't what I wanted. I read my notes and it says that the basis is linearly independent.
Where did the zero vector came from?

But you don't know it is a basis until you show the vectors are linearly independent. And that is what you asked, as quoted in red above. Halls explained how you show that, and his explanation, including the definition of linear independence, shows why you set the linear combination equal to zero.
 
LCKurtz said:
But you don't know it is a basis until you show the vectors are linearly independent. And that is what you asked, as quoted in red above. Halls explained how you show that, and his explanation, including the definition of linear independence, shows why you set the linear combination equal to zero.


I don't know what was I thinking but this part clicked. Thanks.

Second part, anyone?
 

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