Is a Subset of a Linearly Dependent Set Linearly Dependent?

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Homework Help Overview

The discussion revolves around the concept of linear dependence in the context of linear algebra, specifically questioning whether a subset of a linearly dependent set is itself linearly dependent. Participants explore the implications of this statement and provide various examples and counterexamples.

Discussion Character

  • Conceptual clarification, Assumption checking, Mixed

Approaches and Questions Raised

  • Participants discuss the definition of linear dependence and provide examples, such as the set containing only the zero vector. Some question whether subsets of linearly dependent sets can be independent, while others explore specific cases and definitions.

Discussion Status

The discussion is ongoing, with participants offering different perspectives on the original question. Some have provided examples that challenge the initial assumptions, while others seek clarification on the definitions and implications of linear dependence.

Contextual Notes

There is a noted confusion regarding the terminology used in the question, as well as the distinction between sets of vectors and sets of matrices. Participants are also navigating their understanding of linear algebra concepts as they relate to their coursework.

EvLer
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I HAVE searched the threads before posting this but I didn't find the same question.
Anyway, the question is T-F:

A subset of linearly dependent set is linearly dependent.

I think it is F, because for non-zero linearly dep. set a proof can be constructed so that some matrices can have non-zero coefficient while the other matrices -- a zero coefficient.
But among those that have a zero coeff. (or if a subset is defined as some elements of zero-coeff. subset and non-zero-coeff.) there may not be a linear dependence necessarily.
Is my proof/reasoning correct?

Thanks in advance.
 
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Can you give an example of a linearly dependent set with only one member?
 
Yeah, {0}...
So, I guess, you are leading me to the conclusion that the statement is actually true, but isn't this {0} case kind of a 'special' case?
Not always one is going to have a set with {0} as a subset.
I am just starting a linear algebra course, and if my reasoning is off, how would you suggest looking at problems like this?
Calculus was a lot of fun, and I see Linear Algebra is different in way of approach...
Thanks.
 
Last edited:
Actually you need to figure out whether the question you are asking is about linearly dependent or linearly dependent sets of vectors. (The title and question don't match.)

If the question is about linearly dependent sets of vectors then obviously any non-zero vector by itself is a linearly dependent subset - so it's false.

I can't really follow your reasoning and don't have any comprehension what you mean by "matrix can have a zero coefficient". I would be inclined to say that you may have the right notion, but you need to express it more rigorously and clearly.
 
OK,
question is the same (T-F):

A subset of linearly dependent set is linearly dependent.

The reason I posted it as 'IN'dependent is because I think it is independent, but not sure, hence, question mark.
So...hopefully more clear:

Let's say S = {A1, A2, A3, ..., An} set of matrices M(n, m). An element of C is lin.dep. on S if
C = b1A1 + b2A2 + b3A3 + ... + bnAn. (this is straight out of the book)
And let's say for example, b1 = 0, and b2 = 0 holds for this to be true.

Now, let's say G = {A1, A2} (G is subset of S), I think that it is not necessarily the case that there is V such that V is lin.dep. on G, since b1A1 = 0 and b2A2 = 0 in order to prove C lin.dep. on S (above).
Am I off?

Thanks again.
 
Last edited:
I'm not quite following you.

Let's say we have a set of vectors [itex]V[/itex] then [itex]V[/itex] is saild to be linearly dependent if there is a solution for:
[tex]v_i=\sum_{j\ne i} a_jv_j[/tex]

That is, if one of the vectors in [itex]V[/itex] can be represented as a sum of the others.

Now, consider the following set of vectors [itex]V=\{v_1,v_2=2v_1\}[/itex] where [itex]v_1 \ne \vec{0}[/itex]. Clearly, this is a linearly dependent set of vectors, but [itex]V'=\{v_1\}[/itex] is linearly dependent. Therefore the statement is false.
 
NateTG said:
That is, if one of the vectors in [itex]V[/itex] can be represented as a sum of the others.
Yes!
NateTG said:
Now, consider the following set of vectors [itex]V=\{v_1,v_2=2v_1\}[/itex] where [itex]v_1 \ne \vec{0}[/itex]. Clearly, this is a linearly dependent set of vectors, but [itex]V'=\{v_1\}[/itex] is linearly dependent. Therefore the statement is false.
And that is what I have been trying to say... in a different way...
Thanks a lot.
 
You were thinking correctly with your "special case" before. Any set of vectors containing the 0 vector is dependent. Now, start with an independent set and append 0 to it. That set is dependent because it contains 0. Can you think of a subset that is not dependent?
 
HallsofIvy said:
Any set of vectors containing the 0 vector is dependent. Now, start with an independent set and append 0 to it. That set is dependent because it contains 0. Can you think of a subset that is not dependent?
Yeah, I guess, I can come up with examples. But what I am wondering about is what NateTG said: V'={v1}, v1 != 0 and V' is independent.
So, if a set V = {A, 0}, where A = [5 5 5] matrix, how do I prove that {A} is linearly independent. For {0} I just kind of took it as a given, but I do not know how this is proved.

Thanks again!
 
  • #10
Well, a somewhat better equation that the one I gave would be to say that a non-empty set of vectors [itex]V[/itex] is linearly independent if
[tex]\vec{0}=\sum_{\vec{v}_i \in V} a_i \vec{v_i} \Rightarrow a_i=0 \forall a_i[/tex]
That is, the only linear combination of the vectors in the set that adds up to the zero vector is all of the vectors multiplied by zero.

Then, for your example, you could solve
[0 0 0]=a [5 5 5]
to show that 'a' must be zero.
 

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