One set v is a linear combination of u. Prove u is linearly dependent

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The discussion revolves around proving that a set of vectors {u1, ..., us} is linearly dependent if each ui is a linear combination of another set of vectors {v1, ..., vt} with s < t. A participant presents an example to illustrate the proof but struggles with the next steps, questioning whether to solve for coefficients K1, K2, and K3. Others clarify that instead of solving for these coefficients, one should demonstrate the existence of a non-trivial solution to show linear dependence. The conversation also touches on the potential misstatement in the problem, suggesting it should specify s > t instead of s < t, and emphasizes the importance of understanding the concepts of linear combinations and independence.
cbarker1
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Homework Statement
Let ##\{u_1,\ldots,u_s\}##and ##\{v_1,\ldots,v_t\}## be two sets of vectors. If ##s>t## and ##u_i## is a linear combination of ##v_1,\ldots, v_t##, show ##u_1,\ldots,u_s## is linearly dependent
Relevant Equations
Linear combination: c1u1+c2u2+c3u3+...+cnun=0
Linearly dependent is when there is a nontrival solution of the linear combination.
Hi Everybody,

I am having some difficulties on the prove this problem.
I picked a nice example when I was trying to think about the proof.

Let ##s=3## and ##t=2##. Then ##u1=c1v1+c2v2, u2=c3v1+c4v2, u3=c5v1+c6v2##. Then a linear combination of u: ##K1u1+K2u2+K3u3=0##. I grouped both linear combination of u in terms of v:
##K1(c1v1+c2v2)+K2(c3v1+c4v2)+K3(c5v1+c6v2)=0## It implies this system of linear equations for c1,..c6:
(K1c1+c3K2+c5K3)=0
(K1c2+c4K2+K3c6)=0
Here is where I am lost. What should I do next? Solve for K1,K2,K3? or something else.

Will this example help me prove this exercise?

Thanks,
cbarker 1
 
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cbarker1 said:
Let ##s=3## and ##t=2##
This is strange. In the problem statement it says 'If ##s<t## ' ?
 
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What if ##s=1 < 2=t## and ##u_1## is a straight in the plane spanned by ##\{v_1,v_2\}##. Then ##K\cdot u_1=0## implies ##K=0## and ##\{u_1\}## is linear independent.
 
It seems quite obvious that the problem statement is wrongly reproduced and should say ##s>t## instead of ##s<t##.

cbarker1 said:
Homework Statement:: Let ##\{u_1,\ldots,u_s\}##and ##\{v_1,\ldots,v_t\}## be two sets of vectors. If ##s<t## and ##u_i## is a linear combination of ##v_1,\ldots, v_t##, show ##u_1,\ldots,u_s## is linearly dependent
Relevant Equations:: Linear combination: c1u1+c2u2+c3u3+...+cnun=0
Linearly dependent is when there is a nontrival solution of the linear combination.

Solve for K1,K2,K3? or something else.
You do not need to solve for the Ks. What you need to do is to argue that a non-trivial solution exists.

I might have gone down another route, but yours should work fine too once generalised.
 
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I am an typo. I gave the wrong inequality symbol. Sorry
 
Orodruin said:
It seems quite obvious that the problem statement is wrongly reproduced and should say ##s>t## instead of ##s<t##.You do not need to solve for the Ks. What you need to do is to argue that a non-trivial solution exists.

I might have gone down another route, but yours should work fine too once generalised.
What is the other route? I might easier to understand.
 
I mean, it is in essence the same, but you get one constant less. Try to write ##u_s## as a linear combination of the first ##t## ##u_i##. (You can assume that the first ##t## ##u_i## are linearly independent because if they are not then you already know that the ##u_i## are linearly dependent.)
 
Orodruin said:
I mean, it is in essence the same, but you get one constant less. Try to write ##u_s## as a linear combination of the first ##t## ##u_i##. (You can assume that the first ##t## ##u_i## are linearly independent because if they are not then you already know that the ##u_i## are linearly dependent.)

Proof by contradiction, right?
 
cbarker1 said:
Proof by contradiction, right?
If you can use some basic results or theorems about bases and dimensions of linear spaces, then the proof follows without further explicit calculation.
 
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How can I do it without any theorems about bases and dimensions of linear spaces?
 
  • #11
cbarker1 said:
How can I do it without any theorems about bases and dimensions of linear spaces?
By explicit calculations that are similar to those used in the proofs of the relevant theorems.
 
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  • #12
cbarker1 said:
How can I do it without any theorems about bases and dimensions of linear spaces?
Is this problem presented in a vacuum? Aren't there any relevant theorems that can be used and that they expect you to use?
 
  • #13
Yes. My Monday lecture did not spoke about bases or dimensions. But we did take about linear combination and linearly independent sets as well as a vector space.
 
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