Prove l^p strict subspace of c0

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In summary, the conversation discusses showing that lp(T;F) is a strict subspace of c0(T;F) for each p \in [1,∞) and whether there exists a function f \in c0(T;F) that is not in lp(T;F) for every p \in [1,∞). The speaker attempts to use the comparison test and differentiation to find a function that satisfies this condition, ultimately settling on f(t) = \frac{1}{ln(|t| + 1)} if t ≠ 0 and 0 if t = 0. However, they still struggle to prove that this function is not in lp(T;F) for every p \in [1
  • #1
looserlama
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Homework Statement



For F [itex]\in[/itex] {R,C} and for an infinitie discrete time-domain T, show that lp(T;F) is a strict subspace of c0(T;F) for each p [itex]\in[/itex] [1,∞). Does there exist f [itex]\in[/itex] c0(T;F) such that f [itex]\notin[/itex] lp(T;F) for every p [itex]\in[/itex] [1,∞)

Homework Equations



Well we know from class that lp(T;F) = {f [itex]\in[/itex] FT | Ʃ |f(t)|p < ∞} for p [itex]\in[/itex] [1,∞) and c0(T;F) = {f [itex]\in[/itex] FT | [itex]\forall[/itex]ε [itex]\in[/itex] R>0, [itex]\exists[/itex] a finite set S [itex]\subseteq[/itex] T such that {t [itex]\in[/itex] T | |f(t)| > ε} [itex]\subseteq[/itex] S} ([itex]\Leftrightarrow[/itex] t [itex]\rightarrow[/itex] ±∞ [itex]\Rightarrow[/itex] f(t) [itex]\rightarrow[/itex] 0) are both vector spaces.

The Attempt at a Solution



Well as I said above, we know that both lp(T;F) and c0(T;F) are vector spaces, so to show that one is a subspace of the other it is sufficient to show that one is a subset of the other.

So,
Let f [itex]\in[/itex] lp(T;F) [itex]\Rightarrow[/itex] Ʃ|f(t)|p < ∞
Therefore lim as |t|[itex]\rightarrow[/itex]∞ of |f(t)|p = 0 [itex]\Rightarrow[/itex] lim as |t|[itex]\rightarrow[/itex]∞ of |f(t)| = 0 [itex]\Rightarrow[/itex] f [itex]\in[/itex] c0(T;F)

Therefore lp(T;F) [itex]\subseteq[/itex] c0(T;F).

Now this is the hard part, showing that it is a strict subset.

This is what I though of:

Define f [itex]\in[/itex] FT by f(t) = [itex]\frac{1}{t1/p}[/itex] if t ≠ 0 and 0 if t = 0.

Clearly f [itex]\in[/itex] c0(T;F) as it's limit goes to 0.

And it's easy to show that f is not in any lp(T;F) for any specific p [itex]\in[/itex] [1,∞).

But to properly do this problem I need to find a function that's not in lp(T;F) for every p [itex]\in[/itex] [1,∞).

i.e., my problem is, I have to chose a p first, then this works, but whatever p I chose, f will not be in it's space, but it will be in the p+1 space. So it doesn't work for for every p, only a specific p.

So pretty much I can't think of a function that would be in c0 but not in lp for EVERY p [itex]\in[/itex] [1,∞).

Any help would be awesome!
 
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  • #2
Think about using logarithms.
 
  • #3
Ok.

That makes sense as ln(t) increase much slower than t.

So this is what I was thinking:

Let f(t) = [itex]\frac{1}{ln(|t| + 1)}[/itex] if t ≠ 0 and 0 if t = 0.

So clearly lim as |t|→∞ of f(t) = 0, so it is in c0.

But then showing it isn't in lp for every p is a bit harder.

This is how I tried:

Basically I wanted to use the comparison test to show Ʃ|[itex]\frac{1}{ln(|1| + 1)}[/itex]|p = Ʃ1/|ln(|t| + 1)|p≤ Ʃ[itex]\frac{1}{|t|}[/itex] and since that diverges [itex]\Rightarrow[/itex] Ʃ|f(t)|p diverges.

The problem is showing that [itex]\exists[/itex] N [itex]\in[/itex] T such that [itex]\forall[/itex] t ≥ N |ln(|t| + 1)|p ≤ |t|.

I tried differentiating both sides but it ends up giving p|ln(|t| + 1)|p - 1 ≤ |t| +1 which is essentially the same thing as before.

It makes sense to me as ln(t) increases much slower than t, and we can always find an N for which ln(t)p will be less than t for any t ≥ N. But I don't know how to show that.

I also thought of using the ratio or root test, but that seems like it wouldn't work very well...

Any thoughts?
 

What is meant by "Prove l^p strict subspace of c0"?

The statement "Prove l^p strict subspace of c0" means to provide a mathematical proof that the space of p-power summable sequences (l^p) is a strict subspace of the space of sequences that converge to 0 (c0).

What is a strict subspace?

A strict subspace is a subset of a vector space that is also a vector space, but with a smaller dimension than the original vector space.

What is l^p and c0?

In functional analysis, l^p is the space of all sequences of real or complex numbers whose p-power series converges, while c0 is the space of sequences that converge to 0.

What is the significance of proving l^p strict subspace of c0?

Proving that l^p is a strict subspace of c0 is significant because it demonstrates that the space of p-power summable sequences is a smaller vector space than the space of sequences that converge to 0. This has important implications in functional analysis and other areas of mathematics.

How is the proof of l^p strict subspace of c0 typically approached?

The proof of l^p strict subspace of c0 typically involves showing that l^p is a subset of c0 and has a smaller dimension. This can be done through a variety of mathematical techniques, including linear algebra and analysis.

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