Is the Set of Functions f[sub k] a Basis for the Vector Space V?

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Homework Help Overview

The discussion revolves around whether the set of functions \( f_k \) forms a basis for the vector space \( V \), defined in terms of functions from a set \( S \) to a field \( F \). The original poster attempts to prove that the set \( B = \{ f_k \} \) spans \( V \) and is linearly independent, but expresses uncertainty regarding the definitions involved.

Discussion Character

  • Conceptual clarification, Assumption checking, Problem interpretation

Approaches and Questions Raised

  • Participants explore the definitions of the vector space \( V \) and question whether it includes only the zero function or functions that are zero for all but finitely many elements. There are attempts to clarify the implications of these definitions on the basis \( B \).

Discussion Status

The discussion is active, with participants questioning the definitions and implications of the vector space \( V \). Some suggest that the original proof needs refinement based on the clarified definition of \( V \). There is no explicit consensus on the correct interpretation yet, but various interpretations are being explored.

Contextual Notes

There is ambiguity regarding the definition of the vector space \( V \), with participants considering multiple interpretations that affect the validity of the basis claim. The lack of clarity in the problem statement is a point of contention.

flyerpower
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Homework Statement


Let S be any non-empty set, F be a field and V={ f : S -> F such that f(x) = 0 } be a vector space over F.
Let f[sub k] (x) : S -> F such that f[sub k] (x) = 1 for k=x, otherwise f[sub k] (x) = 0.

Prove that the set { f [sub k] } with k from S is a basis for the vector space V.

The Attempt at a Solution



I tried to sketch something but i am not sure I'm on the right path.

So, given B={ f [sub k] }, k from S, it is a basis for V if and only if B spans any vector from V and B is linearly independent.

Let g : S -> F be a vector from V, then g(x)=0 and a some scalars from F with i >= 1.

Then B spans g if and only if g = sum ( a * f ).
But g(x) = 0 so 0 = sum ( a * f ), so the vectors f are linearly independent.

So i'd say B is a basis for the vector V, but I'm not sure it's correct because i didn't make use of the definition of the function f.
 
Last edited:
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I am a little confused by your notation. Which is the correct V:
  • V = {f:S → F | f = 0}
  • V = {f:S → F | f(x0) = 0 for some x0 in S}
 
jgens said:
I am a little confused by your notation. Which is the correct V:
  • V = {f:S → F | f = 0}
  • V = {f:S → F | f(x0) = 0 for some x0 in S}

It's not specified, so i guess it's f(x) = 0 for all x in S.
 
I didn't think of this at first, but that seems to be problematic. For {fk} to be a basis, it needs to be a subset of V. But since V contains only the function that is 0 everywhere and fk is not the zero function, this is a contradiction.

Are you sure that's what is meant by V?
 
This is what concerned me too.
Honestly i don't quite understand the definition of V as it doesn't say anything clear about x in f(x), but, actually i think V is defined such that f(x)=0 for a finite number of elements in S.
 
I think I have it figured out. Use V = {f:S → F | f(x) = 0 for all but finitely many x}. Can you show that {fk} are a basis for V?
 
Well, the definition of V doesn't change the situation, the problem is that i don't know the dimension of V, is it finite?
 
The dimension of V does not matter. With this definition of V you can show that {fk} is a basis. And your proof earlier isn't quite right, so you'll need to improve that for this.
 
Ok, thank you, i'll take one more ride :).
 
  • #10
I don't understand why V is the set of all functions such that f(x)=0 for a finite number of S.

For example if S={1,2}, does that mean that a vector in S is (f(1),f(2))? with f(1)=0, f(2)=b, with b in F. Or
f(1)=a, f(2)=b, with a,b in F.

The basis is {(f[sub 1](1),f[sub 1](2)),f[sub 2](1),f[sub 2](2))} = {(1,0),(0,1)}.
But i don't understand why f(x) must be 0 for some arbitrary points in S.
 
  • #11
You are confused because you are not reading things correctly. If you use V = {f:S → F | f(x) = 0 for all but finitely many x} then the {fk} constructed in the posts above are a basis for V.

As for your particular objection, note that if S is finite and f is non-zero everywhere, then f(x) = 0 except at a finite number of points.
 
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  • #12
You're right. I was confused because i thought f and f[sub k] are not the same functions. Now it makes sense, thank you.
 

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