Show that a set has no "unique nearest point" property

In summary, a set has no "unique nearest point" property if for at least one point in the space, there are multiple points in the set that are equidistant to it, making it impossible to identify a single closest point. This situation can occur in various contexts, such as in metric spaces or geometric configurations, where the distances between the point and the set members result in ties, demonstrating the absence of uniqueness in the nearest point.
  • #1
psie
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Homework Statement
Let ##c_0## be the real vector space of all real sequences that converge to ##0##. Let ##S## be the subset of ##c_0## consisting of all elements ##(x_n)## such that ##\sum _{n=1}^{\infty }2^{-n}x_n=0##. Show that ##S## is a closed subspace of ##c_0## and that no point of ##c_0\setminus S## has a closest point in ##S##.
Relevant Equations
Linear functionals, kernel, sequence spaces, norms, etc.
From Bridges' Foundations of Real and Abstract Analysis.

I'm given the following hint. Given ##a=(a_n)\in c_0\setminus S##, set ##\alpha=\sum _{n=1}^{\infty }2^{-n}a_n## and show that ##d(a,S)\leq|\alpha|##. Let ##x=(x_n)\in S##, suppose that ##\lVert a-x\rVert\leq|\alpha|##, and obtain a contradiction.

I can show that ##S## is a closed subspace of ##c_0## by considering the linear functional $$\phi : c_0 \to \Bbb{R} : (x_n) \mapsto \sum_{n=1}^\infty \frac{1}{2^n}x_n,$$ and show that it is bounded and hence its kernel is closed, which is ##S##. But I'm stuck at the second part. I do not really understand the hint. I do not know how to show ##d(a,S)\leq|\alpha|##, why we can suppose ##\lVert a-x\rVert\leq|\alpha|## and what would be contradicted. Grateful for any help.
 
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  • #2
What is [itex]d(a,S)[/itex]?
 
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  • #3
pasmith said:
What is [itex]d(a,S)[/itex]?
It is ##d(a,S)=\inf\{\lVert a-x\rVert :x\in S\}##, where the norm is ##\lVert a\rVert=\sup_n |a_n|##.
 
  • #4
If the summation was [itex]\sum_{n=1}^\infty 2^{1-n}x_n[/itex], then we could say that [tex]
b_n = \begin{cases} a_1 - \alpha & n = 1 \\ a_n & n > 1 \end{cases}[/tex] is a member of [itex]S[/itex] which is a distance [itex]|\alpha|[/itex] from [itex]a[/itex]. Unfortunately because the summation is [itex]\sum_{n=1}^\infty 2^{-n}a_n[/itex], we have instead to set [tex]
b_n = \begin{cases} a_1 - 2\alpha & n = 1 \\ a_n & n > 1 \end{cases}[/tex] which is a distance [itex]2|\alpha|[/itex] from [itex]a[/itex].

If there exists an element [itex]x \in S[/itex] which is closest to [itex]a[/itex], then it satisfies [tex]0 < d(a,x) = d(a,S) \leq |\alpha|[/tex] (if the question is correct) because [itex]x \neq a[/itex]. So when looking for such an element it makes no sense to look for one with [itex]d(a,x) > |\alpha|[/itex].
 
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  • #5
pasmith said:
If there exists an element [itex]x \in S[/itex] which is closest to [itex]a[/itex], then it satisfies [tex]0 < d(a,x) = d(a,S) \leq |\alpha|[/tex] (if the question is correct) because [itex]x \neq a[/itex].
I don't understand your claim. Shouldn't it be ##0<d(a,x)=d(a,S)\leq 2|\alpha|##?
 
  • #6
The following article was quite helpful (start reading from "A counterexample in the Banach space ##c_0##"). This treats a similar case as in the exercise above, except they use the summation ##\sum_{n=0}^\infty 2^{-n}x_n##. Does it make any difference if we use ##\sum_{n=1}^\infty 2^{-n}x_n## versus ##\sum_{n=0}^\infty 2^{-n}x_n##?
 
  • #7
psie said:
The following article was quite helpful (start reading from "A counterexample in the Banach space ##c0##"). This treats a similar case as in the exercise above, except they use the summation ##\sum_{n=0}^\infty 2^{-n}x_n##. Does it make any difference if we use ##\sum_{n=1}^\infty 2^{-n}x_n## versus ##\sum_{n=0}^\infty 2^{-n}x_n##?
Certainly no difference in convergence in general, nor convergence to ##0##. A finite set of terms won't make a difference either way.
 
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  • #8
psie said:
I don't understand your claim. Shouldn't it be ##0<d(a,x)=d(a,S)\leq 2|\alpha|##?

By definition, [itex]d(a,x) = 0[/itex] if and only if [itex]a = x[/itex]. Here we know [itex]a \neq x[/itex] since [itex]x \in S[/itex] while [itex]a \notin S[/itex].
 
  • #9
pasmith said:
By definition, [itex]d(a,x) = 0[/itex] if and only if [itex]a = x[/itex]. Here we know [itex]a \neq x[/itex] since [itex]x \in S[/itex] while [itex]a \notin S[/itex].
This explains why ##0<d(a,S)##, but not why ##d(a,S)\leq |\alpha|##. The example you gave with $$b_n = \begin{cases} a_1 - 2\alpha & n = 1 \\ a_n & n > 1, \end{cases}$$ shows that there is an element of ##S## with a distance ##2|\alpha|## from ##a##. So the distance ##d(a,S)## should be at most ##2|\alpha|##. What am I misinterpreting?
 
  • #10
I suspect your ##d##is a distance function, but not a metric. Take, e.g., ##S:=\{(x,0): x \in \mathbb R\}## , i.e., the x-axis , and ##T:=\{(x,y): x,y\ in \mathbb R: xy=1\}##, i.e., the curve ##y=1/x; x>0## Then ##d(S,T)=0##, as the points in ##y=1/x## get indefinitely close to the x-axis as x goes to ##\infty##, so that ##d(S,T)=0##, but ##S\neq T##. Yes, the use of ##d## is confusing, maybe something like ##Dist(x,y)## would be better here.
 
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  • #11
psie said:
This explains why ##0<d(a,S)##, but not why ##d(a,S)\leq |\alpha|##. The example you gave with $$b_n = \begin{cases} a_1 - 2\alpha & n = 1 \\ a_n & n > 1, \end{cases}$$ shows that there is an element of ##S## with a distance ##2|\alpha|## from ##a##. So the distance ##d(a,S)## should be at most ##2|\alpha|##. What am I misinterpreting?

I am assuming that the question is correct in its assertion that [itex]d(a,S) \leq |\alpha|[/itex].
 
  • #12
psie said:
I'm given the following hint. Given ##a=(a_n)\in c_0\setminus S##, set ##\alpha=\sum _{n=1}^{\infty }2^{-n}a_n## and show that ##d(a,S)\leq|\alpha|##. Let ##x=(x_n)\in S##, suppose that ##\lVert a-x\rVert\leq|\alpha|##, and obtain a contradiction.
Let ##a=(a_1,a_2,a_3,...)\in c_0\setminus S## be given and according to the metric

psie said:
It is ##d(a,S)=\inf\{\lVert a-x\rVert :x\in S\}##, where the norm is ##\lVert a\rVert=\sup_n |a_n|##.
We can check that ##\alpha## is finite and estimate range of values it can take
$$\left|\ \alpha \right| ~
= \left| \sum_{n=1}^{\infty} \frac{a_n}{2^n} \right|
\leq \sum_{n=1}^{\infty} \frac{\|a\|}{2^n}
= \|a\| \sum_{n=1}^{\infty} \frac{1}{2^n}
= \|a\|$$

Let ##x=(a_1-\alpha,a_2-\alpha,a_3-\alpha,...)## is given where
$$ \sum_{n=1}^{\infty} \frac{x_n}{2^n}
= \sum_{n=1}^{\infty} \frac{a_n-\alpha}{2^n}
= \sum_{n=1}^{\infty} \frac{a_n}{2^n} - \sum_{n=1}^{\infty} \frac{\alpha}{2^n}
=\alpha-\alpha
=0$$
and
$$d(a,x)
=\| a-x\|=\sup_{n \in \mathbb{N}} |a_n-x_n|
=\sup_{n \in \mathbb{N}} |a_n-a_n+\alpha|
= |\alpha|$$
but ( Edit: ##-\alpha## instead of ##\alpha## in lim ...)
$$\lim_{n \rightarrow +\infty} x_n = -\alpha \neq 0 \Rightarrow x \not\in S $$
Can you do something about ##x \not\in S## ?
 
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  • #13
Bosko said:
We can check that ##\alpha## is finite and estimate range of values it can take
$$\left|\ \alpha \right| ~
= \left| \sum_{n=1}^{\infty} \frac{a_n}{2^n} \right|
\leq \sum_{n=1}^{\infty} \frac{\|a\|}{2^n}
= \|a\| \sum_{n=1}^{\infty} \frac{1}{2^n}
= \|a\|$$
This computation shows ##d(a,S)\leq \lVert a\rVert##, but how does one show ##d(a,S)\leq |\alpha|##?
 
  • #14
psie said:
This computation shows ##d(a,S)\leq \lVert a\rVert##, but how does one show ##d(a,S)\leq |\alpha|##?
TIP:
If ##\sum_{i=1}^{\infty} 1/2^i=1## and ##\sum_{i=n+1}^{\infty} 1/2^i=1/2^n##
how much is
$$\sum_{i=1}^{n} \frac{1}{2^i}=?$$

Can you make array of sequences
##x_1=(a_1-\text{"something"},a_2,a_3,...)##
##x_2=(a_1-\text{"something"},a_2-\text{"something"},a_3,...)##
....
##x_n=(a_1-\text{"something"},a_2-\text{"something"},a_3-\text{"something"},...,a_{n-1}-\text{"something"},a_n-\text{"something"},a_{n+1},...)##
...
so that they belong to ##S## ?

Check #2 post > https://www.physicsforums.com/threa...e-nearest-point-property.1059670/post-7055518
What @pasmith doing ?
 
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  • #15
Bosko said:
TIP:
If ##\sum_{i=1}^{\infty} 1/2^i=1## and ##\sum_{i=n+1}^{\infty} 1/2^i=1/2^n##
how much is
$$\sum_{i=1}^{n} \frac{1}{2^i}=?$$
From
$$\sum_{i=1}^{n} \frac{1}{2^i}=1-\frac{1}{2^n}=\frac{2^n-1}{2^n}$$
it follows
$$\frac{2^n}{2^n-1} \sum_{i=1}^{n} \frac{1}{2^i}=1$$
Multiplying both sides by ##-\alpha## we get
$$- \frac{2^n\alpha}{2^n-1} \sum_{i=1}^{n} \frac{1}{2^i}=-\alpha$$
For n=1 sequence ##x_1## is ##(a_1-2\alpha,a_2,a_3,a_4,...)## and the distance from ##a## to ##x_1## is ##2\alpha##.
For n=2 sequence ##x_2## is ##(a_1-4\alpha/3,a_2-4\alpha/3,a_3,a_4,...)## and the distance from ##a## to ##x_2## is ##4\alpha/3##.
For n=3 sequence ##x_3## is ##(a_1-8\alpha/7,a_2-8\alpha/7,a_3-8\alpha/7,a_4,...)## and the distance from ##a## to ##x_3## is ##8\alpha/7##.
...
The distance from ##a## to ##x_n## is ##2^n\alpha/(2^n-1)##
 
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FAQ: Show that a set has no "unique nearest point" property

What does it mean for a set to have a "unique nearest point" property?

A set has a "unique nearest point" property if, for every point not in the set, there is exactly one point in the set that is closest to it. This means that the distance from the external point to this nearest point is less than the distance to any other point in the set.

Why is it important to show that a set lacks the "unique nearest point" property?

Proving that a set lacks the "unique nearest point" property can have implications in various fields such as optimization, computational geometry, and functional analysis. It can help in understanding the structure of the set and the behavior of functions defined on or near the set.

What is an example of a set that does not have the "unique nearest point" property?

An example of a set that does not have the "unique nearest point" property is the set of all points on the boundary of a circle. For any point inside the circle, there are infinitely many points on the boundary that are equally close to it.

How can you mathematically prove that a set does not have the "unique nearest point" property?

To mathematically prove that a set does not have the "unique nearest point" property, you need to find at least one point outside the set for which there are multiple points in the set that are equidistant from it. This can involve demonstrating that the distance function has multiple minima for that particular point.

What are the implications of a set not having the "unique nearest point" property in practical applications?

In practical applications, the lack of a "unique nearest point" property can complicate algorithms that rely on nearest neighbor searches, such as in machine learning, robotics, and geographic information systems. It may necessitate the development of more sophisticated methods to handle cases where multiple nearest points exist.

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