Linear Independence: Is the set LI?

In summary: I'm sorry hgfalling, but are you referring to "the statement" in the OP or in post #3 ? I can't tell if you posted during or after I replied :smile:I meant the original post (ie, "pairwise LI implies the union is LI")
  • #1
Saladsamurai
3,020
7

Homework Statement



Give that u and v are LI and that u and w are LI and that v and w are LI, is the set {u,v,w} LI ? Prove or disprove.

The Attempt at a Solution



I know that this can be done by providing a counterexample. But I wanted to know if there is a way to prove it generally? That is, without guessing and checking to see if a counterexample works?

And if not, is there a smart way to guess? That is, is there a way to narrow the scope of my guessing? I am thinking that letting u, v, w be vectors with lots of 0's and 1's would help, but I am not sure why.

Any thoughts? Just looking to improve my approach to these.
 
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  • #2
I would think about what if the vectors are in a 2 dimensional space like R2?
 
  • #3
LCKurtz said:
I would think about what if the vectors are in a 2 dimensional space like R2?

Hmmm ... how about:

u = (0,1)
v = (1,0)
w = (1,1)

Then u and v are LI, u and w are LI, v and w are LI, but u + v = w so {u,v,w} are LD.

Is that what you were thinking?
 
  • #4
You might consider trying to prove that the statement is true and see what kind of problems you run into. Or consider what kinds of cool things you could prove if that were true?

It's hard to say how to guess about these things; it's not that easy to do them systematically, and really not that fruitful in terms of developing your mathematical intuition. You want to be able to look at this problem and just jump to "oh, u,v,u+v."
 
  • #5
hgfalling said:
You might consider trying to prove that the statement is true and see what kind of problems you run into. Or consider what kinds of cool things you could prove if that were true?

It's hard to say how to guess about these things; it's not that easy to do them systematically, and really not that fruitful in terms of developing your mathematical intuition. You want to be able to look at this problem and just jump to "oh, u,v,u+v."

I'm sorry hgfalling, but are you referring to "the statement" in the OP or in post #3 ? I can't tell if you posted during or after I replied :smile:
 
  • #6
I meant the original post (ie, "pairwise LI implies the union is LI")
 
  • #7
Saladsamurai said:
Hmmm ... how about:

u = (0,1)
v = (1,0)
w = (1,1)

Then u and v are LI, u and w are LI, v and w are LI, but u + v = w so {u,v,w} are LD.

Is that what you were thinking?

That's the idea, but I was thinking a bit more generally. If you already know that a 2 dimensional space has a maximal linear independent set of 2 vectors, there isn't much left to do.
 
  • #8
LCKurtz said:
That's the idea, but I was thinking a bit more generally. If you already know that a 2 dimensional space has a maximal linear independent set of 2 vectors, there isn't much left to do.

Hi LCKurtz :smile: But I don't already know this :redface: Sounds kind of "mathy" to me. I don't know that I would just know that unless I actually read somewhere explicitly.
 

FAQ: Linear Independence: Is the set LI?

What is linear independence?

Linear independence is a concept in linear algebra that refers to a set of vectors that cannot be expressed as a linear combination of other vectors in the same set. In other words, the vectors in a linearly independent set are not redundant or dependent on each other.

How can I determine if a set is linearly independent?

A set of vectors is linearly independent if and only if the only solution to the equation c1v1 + c2v2 + ... + cnvn = 0 is c1 = c2 = ... = cn = 0, where v1, v2, ..., vn are the vectors in the set and c1, c2, ..., cn are constants.

Can a set be partially linearly independent?

No, a set is either linearly independent or linearly dependent. A set cannot be partially linearly independent because the concept of linear independence applies to the entire set of vectors, not just a subset.

How does linear independence relate to the dimension of a vector space?

The dimension of a vector space is equal to the number of linearly independent vectors that span the space. In other words, the dimension of a vector space is the maximum number of linearly independent vectors that can be chosen from that space.

What is the significance of linear independence in mathematics and science?

Linear independence is an important concept in many areas of mathematics and science, including linear algebra, physics, and computer science. It allows us to identify and work with a minimal set of vectors that can represent a larger set of data or properties. Additionally, linear independence is a fundamental concept in the study of vector spaces, which are used to model and solve many real-world problems.

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