Prove the product of two Hausdorff spaces is Hausdorff

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Homework Help Overview

The discussion revolves around proving that the product of two Hausdorff spaces is also Hausdorff. The original poster presents an attempt to construct a proof based on the properties of distinct points in the spaces involved.

Discussion Character

  • Exploratory, Conceptual clarification, Mathematical reasoning

Approaches and Questions Raised

  • The original poster attempts to demonstrate the Hausdorff property by constructing neighborhoods for distinct points in the product space. Some participants question the assumptions made regarding the nature of the spaces, suggesting a misunderstanding of the Hausdorff definition.

Discussion Status

The discussion has evolved with the original poster reflecting on their approach and acknowledging potential errors in their reasoning. Another participant has pointed out the need for clarity regarding the definition of Hausdorff spaces. The original poster expresses intent to reconsider their proof based on this feedback.

Contextual Notes

There is an indication that the original poster may have assumed a structure for the spaces that does not align with the general definition of Hausdorff spaces, leading to confusion in their proof attempt.

sa1988
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Homework Statement



Prove the product of two Hausdorff spaces is Hausdorff

Homework Equations

The Attempt at a Solution



For ##X##, ##Y## Hausdorff spaces, need to find ##s, t \in X \times Y## where neighbourhoods ##S, T## of ##s## and ##t## are disjoint.

Firstly, by the definition of the Hausdorff property, ##\exists \ x_1, x_2 \in X## whose neighbourhoods ##U_1## and ##U_2## are such that ##U_1 \cap U_2 = \emptyset##,

and the same can be said for some ##y_1, y_2 \in Y##.

The product ##X \times Y## must therefore contain points ##(x_1, y_1), (x_2, y_2)## made of these elements, whose neighbourhoods are the sets:

##T = \{ (x_1 - \delta , x_1 + \delta), (y_1 - \delta , y_1 + \delta) \}## with ##0 < \delta < min(x_1,y_1)##

and

##S = \{ (x_1 - \epsilon , x_2 + \epsilon), (y_2 - \epsilon, y_2 + \epsilon) \}## with ##0 < \epsilon < min(x_2, y_2)##

Now by original construction, ##x_1 \not= x_2## and ##y_1 \not= y_2##, so it can be said that ##x_1 < x_2## and ##y_1 < y_2## without loss of generality.

and by the original condition for the Hausdorff spaces ##X## and ##Y##, the points ##x_1##, ##x_2##, ##y_1##, and ##y_2## all have open and separate neighbourhoods in their respective spaces, so there must exist ##\delta## and ##\epsilon## such that

##x_1 + \delta < x_2 - \epsilon##
and
##y_1 + \delta < y_2 - \epsilon##

which means there are two points ##t = (x_1, y_1)## and ##s = (x_2, y_2) ## in ##X \times Y## such that

##(x_1 + \delta , y_1 + \delta) < (x_2 - \epsilon , y_2 - \epsilon)##

meaning ##t < s \ \forall \ s, t## under the above construction,

whose neighbourhoods ##T## and ##S## cannot intersect.

Hence the product of two Hausdorff spaces is Hausdorff.Well... that's my effort. Not sure how solid it is though. Feels like I invoked a circular argument along the way...

Thanks.
 
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A Hausdorff space means every pair of distinct points have disjoint neighbourhoods. And, they are general topological spaces, where you appear to have assumed they are well-ordered metric spaces.
 
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Bummer, yeah I did. I thought Hausdorff meant there was just one or 'some' pairs of distinct points that could be found, rather than every pair being distinct by definition.

I'll have a rethink. Cheers.
 
Answers have come out for the exercise sheet I was working on.

The proof I was trying to get to is surprisingly simple. Just thought I'd add it here for closure to this thread, and for my own practice. Learning through repetition, heh.

Suppose ##X## and ##Y## Hausdorff spaces.

For ##x_1, \ x_2## distinct in ##X##, there exists ##U_1, \ U_2 \subset X## where ##U_1 \cap U_2 = \emptyset##

Now make the sets ##V_1 = U_1 \times Y##
and ## V_2 = U_2 \times Y##

where ##V_1, \ V_2## are any two sets in ##X \times Y## which are distinct by construction via the usage of ##x_1## and ##x_2##.

Then ##V_1 \cap V_2 = (U_1 \cap U_2) \times Y = \emptyset \times Y = \emptyset##

Hence ##X \times Y## is Hausdorff.
 

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