Bounded in Norm .... Garling, Section 11.2: Normed Spaces ....

  • Context: Undergrad 
  • Thread starter Thread starter Math Amateur
  • Start date Start date
  • Tags Tags
    Bounded Norm Section
Click For Summary
SUMMARY

The discussion centers on D. J. H. Garling's definition of bounded subsets in normed spaces as presented in his book "A Course in Mathematical Analysis: Volume II: Metric and Topological Spaces, Functions of a Vector Variable." Specifically, it clarifies that a subset B is bounded if and only if the supremum of the norms of its elements is finite, expressed mathematically as sup { ||b|| : b ∈ B } < ∞. The proof involves demonstrating the equivalence between boundedness in terms of the norm and the metric, utilizing inequalities that relate the norm and distance in the vector space.

PREREQUISITES
  • Understanding of normed vector spaces
  • Familiarity with metric spaces and their properties
  • Knowledge of supremum and boundedness concepts
  • Basic mathematical proof techniques
NEXT STEPS
  • Study the definitions and properties of normed vector spaces in detail
  • Learn how to apply the supremum concept in various mathematical contexts
  • Explore the relationship between metrics and norms in vector spaces
  • Review proof techniques in real analysis, focusing on boundedness and convergence
USEFUL FOR

Mathematicians, students of analysis, and anyone interested in understanding the properties of normed and metric spaces, particularly in the context of boundedness and supremum concepts.

Math Amateur
Gold Member
MHB
Messages
3,920
Reaction score
48
TL;DR
The thread concerns the link between Garling's definition of a bounded set and the condition of a set being norm bounded or bounded in norm ...
I am reading D. J. H. Garling's book: "A Course in Mathematical Analysis: Volume II: Metric and Topological Spaces, Functions of a Vector Variable" ... ...

I am focused on Chapter 11: Metric Spaces and Normed Spaces ... ...

I need some help with some remarks by Garling concerning a subset being norm bounded of bounded in norm ...

The particular remarks by Garling read as follows:
Garling - Bounded in Norm notes ... .png

Note that the definition of a bounded set by Garling is included in the following text:
Garling - BoundedSet ... notes ... .png

In the remarks by Garling above we read the following:

" ... ... Then since

##\mid \mid x - y \mid \mid \le \mid \mid x \mid \mid + \mid \mid y \mid \mid## and ##\mid \mid y \mid \mid \le \mid \mid y - x \mid \mid + \mid \mid x \mid \mid##

a subset ##B## is bounded if and only if ##\text{sup} \{ \mid \mid b \mid \mid \ : \ b \in B \} \lt \infty## ... ... ... "Can someone please explain/demonstrate how (given Garling;s definition of a bounded subset) that the statements:

##\mid \mid x - y \mid \mid \le \mid \mid x \mid \mid + \mid \mid y \mid \mid## and ##\mid \mid y \mid \mid \le \mid \mid y - x \mid \mid + \mid \mid x \mid \mid##

lead to the statement that:

a subset ##B## is bounded if and only if ##\text{sup} \{ \mid \mid b \mid \mid \ : \ b \in B \} \lt \infty## ... ... ... ?Hope someone can help ...

Peter
======================================================================================

It may help some readers of the above post to have access to the start of Garling's section on normed spaces in order to familiarize them with Garling's approach and notation ... so I am providing the same ... as follows:
Garling ... Start of Secton 11.2 on Normed Spaces ... .png
Hope that helps ...

Peter
 
Last edited:
Physics news on Phys.org
You have a normed vector space E with norm \|\cdot\|. How is the metric defined in terms of this norm?

What happens if you substitute that into the definition of "bounded"?

There are two implications to prove to show that "bounded" is equivalent to "bounded in norm":
  • \|b\| bounded above implies d(b,b&#039;) bounded above.
  • d(b,b&#039;) bounded above implies \|b\| bounded above.
The remark gives two inequalities. What can you do with them?
 
Hi pasmith ... thanks for your guidance and help ...

I received a proof (by Olinguito) on another website and the proof follows the lines suggested by you ...

Here is the suggested proof ...

##E## is both a metric space and a vector space; the metric and the norm are related by
##d(x,y)\ =\ \|x-y\|##
for ##x,y\in E##.

So if ##B\subset E## is nonempty – say it contains ##c## – and bounded, we have for all ##b\in B##,
##\|b\|\ \le\ \|b-c\|+\|c\|\ \le\ \text{diam}(B)+\|c\|##
##\displaystyle\implies\ \sup_{b\in B}\|b\|<\infty## (since ##\text{diam}(B)<\infty## and ##\|c\|## is a fixed number).

\Conversely, if ##\displaystyle s=\sup_{b\in B}\|b\|<\infty##, then for all ##b,b'\in B##,
##d(b,b')\ =\ \|b-b'\|\ \le\ \|b\|+\|b'\|\ \le\ 2s##
##\implies\ \text{diam}(B)<\infty##Peter
 
  • Like
Likes   Reactions: fresh_42

Similar threads

  • · Replies 5 ·
Replies
5
Views
2K
Replies
2
Views
2K
  • · Replies 9 ·
Replies
9
Views
2K
Replies
2
Views
1K
  • · Replies 2 ·
Replies
2
Views
2K
  • · Replies 4 ·
Replies
4
Views
2K
Replies
2
Views
3K
  • · Replies 2 ·
Replies
2
Views
3K
Replies
3
Views
2K
Replies
6
Views
2K