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

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SUMMARY

The discussion centers on proving that in a metric space $(X, d)$, the condition $||u||_d = 0$ is equivalent to $u = 0$ for functions $u$ in the set $AE_0(X)$. The participants highlight that $AE_0(X)$ consists of functions whose non-zero values are finite and sum to zero. A key point raised is that if the infimum of the series representing the norm is zero, then all terms must also be zero, leading to the conclusion that $u$ must be the zero function. However, the challenge lies in the potential for multiple representations of $u$, complicating the proof.

PREREQUISITES
  • Understanding of metric spaces, specifically the properties of $(X, d)$.
  • Familiarity with the concept of the set $AE_0(X)$ and its definition.
  • Knowledge of norms in functional analysis, particularly $||u||_d$.
  • Basic grasp of series and summation in mathematical analysis.
NEXT STEPS
  • Study the properties of metric spaces and their implications on function behavior.
  • Explore the concept of infimum and minimum in the context of series and norms.
  • Investigate the uniqueness of representations of functions in $AE_0(X)$.
  • Learn about the implications of finite support in functions and their norms.
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Mathematicians, particularly those specializing in functional analysis and metric space theory, as well as students seeking to understand the relationship between norms and function properties in analysis.

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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