How do you define unboundedness in Euclidean space?

In summary: This is partially true. If ##(X, \tau)## is a topological vector space, then one naturally defines a set ##A \subseteq X## to be bounded if for every neighborhood ##V## of ##0## there exists a scalar ##\lambda## such that ##A \subseteq \lambda V##. If ##\tau## derives from a norm, this reduces to the familiar definition, but in the general (non-metric) case this definition leads to some interesting properties and the notion of bornology.
  • #1
Eclair_de_XII
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TL;DR Summary
On the real numbers, a set ##D## is bounded iff there exists a positive ##M## such that for all ##y\in D##, ##|y|\leq M##.

On the real numbers, a set ##D## is unbounded iff for all positive ##M##, there is a ##y\in## such that ##|y|>M##.
I read in my textbook Calculus on Manifolds by Spivak that a set ##A\subset \mathbb{R}^n## is bounded iff there is a closed n-rectangle ##D## such that ##A\subset D##. It should be plain that if I wanted to define unboundedness, I should just say something along the lines of: "A set ##A\subset \mathbb{R}^n##is unbounded iff for all n-rectangle ##D##, ##A## is not contained in ##D##.D

So my question is if the following definition of unboundedness is valid: "A set ##A## is unbounded if for all n-rectangles ##D##, there is a ##y\in A## such that there is an open set containing ##y## that is a subset of ##\mathbb{R}^n \cap D^c##".
 
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  • #2
Boundedness is a metric concept, open sets is a topological concept so you shouldn't try to define boundedness via topological properties.

Why don't you take the negation of the definition of boundedness Spivak provides?

Thus, a set ##A## is unbounded if it is not contained in a rectangle.

I.e., for every rectangle ##D## we have that ##A \not\subseteq D##, or equivalently for every rectangle ##D##, there is ##a \in A \setminus D##.

Another fun characteristation of boundedness in this context:

A set ##A## is unbounded if this set contains a sequence of elements ##(a_n)_n## such that ##\Vert a_n \Vert \to \infty##.

On an unrelated note: what is your background on calculus/real analysis? This book my Spivak is hard to read if you don't have the proper background.
 
  • #3
Math_QED said:
Why don't you take the negation of the definition of boundedness Spivak provides?

Thus, a set ##A## is unbounded if it is not contained in a rectangle.

I.e., for every rectangle ##D## we have that##A \not\subseteq D##, or equivalently for every rectangle ##D##, there is ##a \in A \setminus D##.

I guess that would be the most practical option in order to do problems within the book.

Math_QED said:
what is your background on calculus/real analysis?

I took the entire calculus series, an introductory real analysis course, and a vector calculus analysis course. I was told that the latter was the analysis analogue to Calculus III-IV, like how the introductory analysis course was an advanced course elaborating on stuff from Calculus I. The vector analysis course used the book in question, so it's not my first time reading it.

I didn't take the non-introductory analysis course nor the topology course offered at my university during my college career. So I naturally would not have the background necessary to understand why, as you said in the first sentence of your post, I should not attempt to define boundedness with topological properties.
 
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  • #4
"So my question is if the following definition of unboundedness is valid: "A set A is unbounded if for all n-rectangles D, there is a y∈A such that there is an open set containing y that is a subset of Rn∩Dc"."

the answer to your question is "yes".
 
  • #5
Math_QED said:
Boundedness is a metric concept, open sets is a topological concept so you shouldn't try to define boundedness via topological properties.

This is only partially true. If ##(X, \tau)## is a topological vector space, then one naturally defines a set ##A \subseteq X## to be bounded if for every neighborhood ##V## of ##0## there exists a scalar ##\lambda## such that ##A \subseteq \lambda V##. If ##\tau## derives from a norm, this reduces to the familiar definition, but in the general (non-metric) case this definition leads to some interesting properties and the notion of bornology.

(In view of the above, I like Spivak's definition since the general definition is already in there.)
 

1. What is unboundedness in Euclidean space?

Unboundedness in Euclidean space refers to the property of a set or region that has no finite limit or boundary. It means that the set or region extends infinitely in all directions.

2. How is unboundedness different from boundedness?

Boundedness and unboundedness are two opposite properties in Euclidean space. Boundedness refers to a set or region that has a finite limit or boundary, while unboundedness means there is no finite limit or boundary.

3. What is an unbounded set in Euclidean space?

An unbounded set in Euclidean space is a set of points that extends infinitely in all directions. This means that there is no finite limit or boundary to the set, and it can continue infinitely in all directions.

4. How is unboundedness related to infinity?

Unboundedness is closely related to infinity in Euclidean space. An unbounded set or region means that it extends infinitely in all directions, which is a characteristic of infinity.

5. Can a bounded set become unbounded?

No, a bounded set cannot become unbounded. Boundedness and unboundedness are two opposite properties, and a set cannot switch from one to the other. However, a set can be transformed through mathematical operations, which may change its boundedness or unboundedness.

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