Dictionary order and least upper bound property

In summary, the proof shows that every nonempty subset of [0,1] x [0,1] in the dictionary order has a least upper bound, thus demonstrating that the set [0,1] x [0,1] has the least upper bound property. This is proven by considering different forms of subsets and showing that there exists a least upper bound for each case.
  • #1
Samuelb88
162
0

Homework Statement


Does [itex][0,1] \times [0,1][/itex] in the dictionary order have the least upper bound property?

Homework Equations


Dictionary Order. (on [itex]\mathbb{R}^2[/itex]) Let [itex]x , y \in \mathbb{R}^2[/itex] such that [itex]x=(x_1 , x_2)[/itex] and [itex]y = (y_1 , y_2)[/itex]. We say that [itex]x < y[/itex] if [itex]x_1 < y_1[/itex], or if [itex]x_1 = y_1[/itex] and [itex]x_2 < y_2[/itex].

Def'n. An ordered set [itex]A[/itex] is said to have the least upper bound property if every nonempty subset [itex]A_0 \subseteq A[/itex] that is bounded has a least upper bound.

Assume that the real line has the least upper bound property.

The Attempt at a Solution



I'm not sure if I am proving this correctly. Here's my proof.

I want to show that every subset [itex]A_0 \subseteq [0,1] \times [0,1][/itex] that is nonempty and bounded has the lub property. Suppose that [itex]\mathbb{R}[/itex] has the lub property. Let [itex]A_0[/itex] be an nonempty subset of [itex][0,1] \times [0,1][/itex]. Since [itex][0,1] \times [0,1][/itex] is bounded, it follows that every subset of [itex][0,1] \times [0,1][/itex] is bounded. We will consider two forms of [itex]A_0[/itex], that is, when either [itex]A_0 = [i,j] \times [k, \ell][/itex], or [itex]A_0 = (i,j) \times (k, \ell)[/itex], where [itex]0 \leq i, j, k, \ell \leq 1[/itex].

If [itex]A_0 = [i,j] \times [k, \ell][/itex], then [itex]\forall x \in A_0[/itex], we can always find a least upper bound, say [itex]y[/itex] by letting [itex]y=x[/itex]. So that case is settled.

Instead, suppose that [itex]A_0 = (i,j) \times (k, \ell)[/itex]. Then [itex]\forall x \in A_0[/itex], we can still always find a least upper bound which we will again call [itex]y[/itex] such that [itex]y = (y_1 , y_2)[/itex] by letting [itex]y_1 = j[/itex] and [itex]y_2 = k[/itex].

In a similar manner, we can show that subsets that have both closed and open ends (e.g. [itex](i,j] \times (k, \ell][/itex]) always have a least upper bound.

Therefore I have shown that every subset of [itex][0,1] \times [0,1][/itex] that is nonempty and bounded has the lub property and therefore the set [itex][0,1] \times [0,1][/itex] has the lub property.

How does this look?
 
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  • #2
Hi Samuelb88! :smile:

But you're only proving it for open and closed squares

what about open and closed triangles, and more complicated regions?
 
  • #3
Okay, given [itex]A_0[/itex] [itex]\exists i, j, k, \ell \in \mathbb{N}[/itex] such that [itex]A_0 \subseteq [i,j] \times [k,\ell][/itex]. In words, I'm claiming that there exists a box with dimensions [itex]|j-i|[/itex] and [itex]|\ell - k|[/itex] such that the region of [itex]A_0[/itex] lies entirely inside the box. Would this help? I'm not allowed to use the concept of a border of a region so I'm not sure how to explain how we can fit the box about either an open or closed region so that the border of the box coincides with the "border" of the region (By "border" of the region, I mean the line that encloses it, whether it be dashed (open region) or solid (closed region)).

What if I let [itex]b \in [i,j] \times [k,\ell][/itex] such that [itex]b = (k,\ell)[/itex]. Then [itex]b[/itex] is an upperbound in the dictionary order for the region of [itex]A_0[/itex]. Now look at the set of all such upper bounds of the region [itex]A_0[/itex], that is, [itex]\{ b \in [i,j] \times [k,\ell] : \forall x \in A_0 \, \, x \leq b\}[/itex]. Denote this set of upper bounds by [itex]U_{A_0}[/itex]. Now in [itex]U_{A_0}[/itex] there will be a an element, say [itex]b_0[/itex], such that [itex]b_0 \leq b[/itex] [itex]\forall b \in [i,j] \times [k,\ell][/itex] in the dictionary order. Basically I want to let [itex]b_0 = \min(U_{A_0})[/itex], but I am not sure if I'm using the min function correctly. At any rate, this [itex]b_0[/itex] is the lub of the set [itex]A_0[/itex]. Therefore (since [itex]A_0[/itex] was arbitrary) each subset of [itex][0,1] \times [0,1][/itex] has the lub property in the dictionary order and therefore by our proposition stated in my original post, [itex][0,1] \times [0,1][/itex] has the lub property in the dictionary order.
 
Last edited:
  • #4
Samuelb88 said:
Okay, given [itex]A_0[/itex] [itex]\exists i, j, k, \ell \in \mathbb{N}[/itex] such that [itex]A_0 \subseteq [i,j] \times [k,\ell][/itex]. In words, I'm claiming that there exists a box with dimensions [itex]|j-i|[/itex] and [itex]|\ell - k|[/itex] such that the region of [itex]A_0[/itex] lies entirely inside the box. Would this help? I'm not allowed to use the concept of a border of a region so I'm not sure how to explain how we can fit the box about either an open or closed region so that the border of the box coincides with the "border" of the region (By "border" of the region, I mean the line that encloses it, whether it be dashed (open region) or solid (closed region)).

Well, of course such a box exists, take

[tex][i,j]\times[k,l]=[0,1]\times [0,1][/tex]

but that won't help us.

Given a set A0. Can you prove that

[tex]\{x~\vert~\exists y:~(x,y)\in A_0\}[/tex]

has an upper bound? I.e., when you project the set onto the x-axis, does it have an upper bound then?
 
  • #5
micromass,

If I am understanding your question correctly, then [itex]x=1[/itex] is one such upper bound for the set [itex]\{ x : \exists y : (x,y) \in A_0 \}[/itex], which I will denote as [itex]U_{A_0}[/itex]. So then can I look at the set of all upper bounds of [itex]U_{A_0}[/itex] and take the [itex]\min(U_{A_0})[/itex] to show that it has a least upper bound?
 
  • #6
Samuelb88 said:
micromass,

If I am understanding your question correctly, then [itex]x=1[/itex] is one such upper bound for the set [itex]\{ x : \exists y : (x,y) \in A_0 \}[/itex], which I will denote as [itex]U_{A_0}[/itex]. So then can I look at the set of all upper bounds of [itex]U_{A_0}[/itex] and take the [itex]\min(U_{A_0})[/itex] to show that it has a least upper bound?

Indeed, so [itex]U_{A_0}[/itex] has a least upper bound [itex]x_0[/itex]. Can you use this to find an upper bound of [itex]A_0[/itex]?? Maybe look at [itex]\{y~\vert~(x_0,y)\in A_0\}[/itex].
 
  • #7
Okay, letting [itex]x_0[/itex] be the least upper bound of [itex]U_{A_0}[/itex]. I can play the same game with the set [itex]V = \{ y : (x_0 , y) \in A_0 \}[/itex]. I know that one such upper bound of the set [itex]V[/itex] is [itex]y=1[/itex]. Thus looking at the set of all upper bounds of [itex]V[/itex], I will again take the minimum of that set and have found an upper bound, say [itex]y_0[/itex]. Thus I have found an upper bound of [itex]A_0[/itex], that is [itex](x_0 , y_0)[/itex].
 
  • #8
Samuelb88 said:
Okay, letting [itex]x_0[/itex] be the least upper bound of [itex]U_{A_0}[/itex]. I can play the same game with the set [itex]V = \{ y : (x_0 , y) \in A_0 \}[/itex]. I know that one such upper bound of the set [itex]V[/itex] is [itex]y=1[/itex]. Thus looking at the set of all upper bounds of [itex]V[/itex], I will again take the minimum of that set and have found an upper bound, say [itex]y_0[/itex]. Thus I have found an upper bound of [itex]A_0[/itex], that is [itex](x_0 , y_0)[/itex].

And can you show that [itex](x_0,y_0)[/itex] is the least upper bound?
 
  • #9
Well it seems to me from our construction of [itex]x_0[/itex] and [itex]y_0[/itex] that [itex](x_0,y_0)[/itex] is the least upper bound of [itex]A_0[/itex] is it not?
 
  • #10
Samuelb88 said:
Well it seems to me from our construction of [itex]x_0[/itex] and [itex]y_0[/itex] that [itex](x_0,y_0)[/itex] is the least upper bound of [itex]A_0[/itex] is it not?

Well, if it's obvious to you, then the proof is finished! :smile:
 
  • #11
Great! Thanks, micromass! Always appreciated. :)
 

1. What is dictionary order?

Dictionary order is a method of ordering or sorting words or phrases based on the alphabetical order of their letters. It follows the same principles as a traditional dictionary, where words with the same first letter are grouped together and then sorted based on the second letter, and so on.

2. How is dictionary order different from numerical order?

While dictionary order uses the alphabetical order of letters, numerical order uses the numerical value of digits. This means that in dictionary order, "10" would come before "2" because "1" comes before "2" in the alphabet, while in numerical order, "2" would come before "10" because it has a lower numerical value.

3. What is the least upper bound property in dictionary order?

The least upper bound property in dictionary order states that for any non-empty set of words, there will always be a word that is greater than or equal to all the other words in the set. In other words, there is always a "highest" word in the set.

4. How does the least upper bound property relate to ordering words?

The least upper bound property ensures that there will always be a way to order words in dictionary order, even if there are an infinite number of words. This allows for a consistent and well-defined method of sorting words and helps avoid ambiguity.

5. Can words in dictionary order have the same rank or position?

Yes, words in dictionary order can have the same rank or position if they have the same letters. For example, in a dictionary, the words "apple" and "apricot" would have the same rank because they both start with "ap". In this case, the alphabetical order of the remaining letters would determine their final position in the dictionary order.

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