Proving ||u||_d = 0 and u=0 in Metric Spaces

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Discussion Overview

The discussion revolves around proving the equivalence of two statements in the context of metric spaces: that the norm $$||u||_d$$ equals zero if and only if the function $$u$$ is identically zero. The scope includes theoretical exploration of properties of functions defined on metric spaces, particularly those in the set $$AE_0(X)$$.

Discussion Character

  • Exploratory, Technical explanation, Debate/contested

Main Points Raised

  • One participant notes the challenge of proving that $$||u||_d = 0$$ implies $$u=0$$, expressing uncertainty about the implications of the sum $$\sum_{k=1}^n |a_k| d(x_k, y_k)$$ being zero.
  • Another participant suggests that the set of tuples $$\{(a_{k},x_{k},y_{k}) \ : \ u=\displaystyle\sum_{k=1}^{n}a_{k}m_{x_{k},y_{k}}\}$$ is finite, implying that the infimum is reached, and that the norm being zero suggests all terms must be zero.
  • A later reply raises a concern about multiple representations of the function $$u$$, using an example where $$u$$ can be expressed in different ways, which complicates the proof that $$||u||_d$$ cannot be decreased through such representations.

Areas of Agreement / Disagreement

Participants express differing views on the implications of the norm being zero and the nature of the representations of $$u$$. There is no consensus on how to formally prove the equivalence of the two statements.

Contextual Notes

Participants acknowledge the complexity of the problem, with some noting that the existence of multiple representations of $$u$$ may affect the proof. There are also concerns about the assumptions regarding the finiteness of certain sets and the implications of the metric space structure.

Linux
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Let $$(X, d)$$ be a metric space, $$AE_0(X) = \{ u : X \rightarrow \mathbb{R} \ : \ u^{-1} (\mathbb{R} \setminus \{0 \} ) \ \ \text{is finite}, \ \sum_{x \in X} u(x)=0 \}$$,

for $$x,y \in X, \ x \neq y, \ m_{xy} \in AE_0(X), \ \ m_{xy} (x)=1, \ m_{xy}(y)=-1, \ m_{xy}(z)=0$$ for $$z \neq x, y$$ and $$m_{xx} \equiv 0$$

for $$u \in AE_0(X), \ ||u||_d = \inf \{ \sum_{k=1}^n |a_k| d(x_k, y_k) \ : \ u= \sum_{k=1}^n a_km_{x_k, y_k}, a_k \in \mathbb{R}, x_k, y_k \in X, n \ge 1 \}$$

How to prove that $$||u||_d = 0 \ \iff \ u=0$$?

I know it is not so obvious that then all terms in the sum $$\sum_{k=1}^n |a_k| d(x_k, y_k)$$ must be zero.

Could you help me out a bit?

Thank you.
 
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Linux said:
Let $$(X, d)$$ be a metric space, $$AE_0(X) = \{ u : X \rightarrow \mathbb{R} \ : \ u^{-1} (\mathbb{R} \setminus \{0 \} ) \ \ \text{is finite}, \ \sum_{x \in X} u(x)=0 \}$$,

for $$x,y \in X, \ x \neq y, \ m_{xy} \in AE_0(X), \ \ m_{xy} (x)=1, \ m_{xy}(y)=-1, \ m_{xy}(z)=0$$ for $$z \neq x, y$$ and $$m_{xx} \equiv 0$$

for $$u \in AE_0(X), \ ||u||_d = \inf \{ \sum_{k=1}^n |a_k| d(x_k, y_k) \ : \ u= \sum_{k=1}^n a_km_{x_k, y_k}, a_k \in \mathbb{R}, x_k, y_k \in X, n \ge 1 \}$$

How to prove that $$||u||_d = 0 \ \iff \ u=0$$?

I know it is not so obvious that then all terms in the sum $$\sum_{k=1}^n |a_k| d(x_k, y_k)$$ must be zero.

Could you help me out a bit?

Thank you.
Hi Linux, and welcome to MHB!

The problem of showing that $\|u\|_d = 0$ implies $u=0$ seems difficult, and I have not been able to solve it. See http://mathhelpboards.com/analysis-50/could-you-check-my-solution-13108.html.
 
Hi,

I have not much time so I may be wrong but doing it fast I think that the set $\{(a_{k},x_{k},y_{k}) \ : \ u=\displaystyle\sum_{k=1}^{n}a_{k}m_{x_{k},y_{k}}\}$ is finite, so the infimum is always reched (i.e., it's a minimum) and your norm is given by series of positive terms, si the minimum being zero implies that all terms are zero.

I will think on it with caution later.
 
Fallen Angel said:
I have not much time so I may be wrong but doing it fast I think that the set $\{(a_{k},x_{k},y_{k}) \ : \ u=\displaystyle\sum_{k=1}^{n}a_{k}m_{x_{k},y_{k}}\}$ is finite, so the infimum is always reached (i.e., it's a minimum) and your norm is given by series of positive terms, so the minimum being zero implies that all terms are zero.
The problem is that there may be different representations of $u$ using points other than those at which $u$ is nonzero.

Suppose for example that the underlying metric space is the real line, and that $u = m_{0,1}$ (so that $u(0) = 1$, $u(1) = -1$ and $u$ is zero at all other points). Then $u$ can also be expressed as $u = m_{0,1/2} + m_{1/2,1}$, or as $$u = \sum_{k=0}^{999}m_{k/1000,(k+1)/1000}.$$ It is intuitively clear that $\|u\|_d$ cannot be decreased by such procedures, but a formal proof seems very elusive.
 

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