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$f:\mathbb{R}\longrightarrow\mathbb{R}:x\mapsto x^2$

This function is continuous as we all know.

Since for every point in the domain, we will always be able to draw a $\delta\epsilon-$rectangle, for every $\epsilon$ which captures every point of $f(x)$ if it captures $x$.

As i first started looking on continuouity I thought it exists to help clearify weither a curve has "holes". Or points where the curve diverges. It made sense to me, but then I thought what does it mean to be pointwise continuous?

$h:\lbrace 1,2,3 \rbrace\longrightarrow\mathbb{R}:x\mapsto x^2$ is this function also continuous? Why shouldnt it be? I mean if i can pointwise look at a curve and take all the points out of the domain where it is uncontinuous, the curve will be continuous. But I could also take alot of points where the function is continuous out of the domain and it should stay continuous. Even if I leave the function only with a set of ,for example, 3 elements in the domain. Is this correct?

And if yes, what is the advantage of stating a function like $h$ is still continuous, if it has nothing left to do with curves.

So why do we need this property? Shouldnt it also has some value for $h$ to be continuous?

I know this question is really basic, and stupid, but it really interests me to understand what "pointwise-continuity really means for a function. Thank you

  • There's a comment in baby rudin before the statement of theorem 4.6 (principles of mathematical analysis) that addresses this. If $p$ is an isolated point of $E$, then every function which has $E$ as its domain is continuous at $p$. No matter what $\epsilon$ you choose, we can pick a $\delta$ so that the only point for which $|x-p|<\delta$ must be $x=p$. So then $|f(x)-f(p)|0<\epsilon$. – dmh Jun 16 '20 at 22:55
  • hmm my question was, why this is a usefull concept. – CoffeeArabica Jun 17 '20 at 06:18

3 Answers3

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The standard definition of continuity has the following convenient property:

If $f \colon X \to Y$ is continuous and $A$ is a subset of $X$ then the restriction of $f$ to $A$ is continuous.

This remains true no matter how bizarre $A$ is - $X$ could be $\mathbb{R}$ and $A$ could be the Cantor set, or a non-measurable set, or a finite set as in your example.

So I suggest tweaking your intuition about continuity. The normal intuition is something like "I can draw the graph without lifting my pencil", but this intuition falls apart if you can't even draw the domain of the function without lifting your pencil! Instead, try to think of continuity as something like "$f$ is continuous if it respects the local structure of its domain" If the domain doesn't have much local structure, e.g. if it's a discrete set, then this isn't saying very much - but that's the domain's fault, not $f$'s.

Paul Siegel
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You're right that continuity is a property of each point of the domain. Usually when we say a function $f$ is continuous, we just want to say it is continuous on all its points.

In the $\epsilon-\delta$ definition of continuity you mentioned, the domain and range of a function are taken into account. A function $f : \{1,2,3\} \rightarrow \mathbb{R}$ will always be continuous under that definition. For instance, to show its continuity in $f(1)$, just take $\delta = \frac{1}{2}$ for any $\epsilon > 0$ and all points within distance $\frac{1}{2}$ of 1 in the domain (which is just 1) will fall within distance $\epsilon$ in the range.

The example above shows that yes, you can remove enough parts of the domain to make a function continuous. This does not necessarily imply the original function is continuous on the bigger domain.

MBW
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  • Thank you :) yes this is actually the point where i stood and thought: well when I wildly throw the definition on this map, I get that the map is indeed continuous, but I did not only wanted to apply the defintion and be satisfied, I wanted to know why it make sense to come from a Intuition concerning curves and applieng it on only points – CoffeeArabica Jun 07 '20 at 09:28
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So, we need to be careful. Continuity is first and foremost a topological term. In the category of topological spaces, continuous maps are the morphisms and topological spaces the corresponding objects.

That means, in order to be able to talk about continuity, we need to make sure the spaces we are talking about are in fact topological spaces.

The definition of continuity in the language of topological spaces is the following:

Let $X,Y$ be topological spaces with topologies $\mathcal{T}_X$ and $\mathcal{T}_Y$ respectively. A map $f:X\to Y$ is continuous, if for every open set $V\subset Y$ in $\mathcal{T}_Y$, the set $f^{-1}(V) \subset X$ is open in $\mathcal{T}_X$.

So you notice, continuity does not "come out of thin air", but is dependend on the given topological structure the corresponding sets admit.

Given your example of $\{1,2,3\}$ we can actually define a topology $\mathcal{T}$ on it by declaring its open sets to be $\{1,2,3\}, \varnothing, \{1\}, \{2\},\{3\}$. and any union of these elements. To sum it up we get

$$\mathcal{T} = \{\{1,2,3\}, \varnothing, \{1\}, \{2\},\{3\},\{1,2\},\{1,3\},\{2,3\}\}$$

Now we can actually use this topology $\mathcal{T}$ on $\{1,2,3\}$ together with your map $f:\{1,2,3\}\to \mathbb{R}$ to induce a topology on $\mathbb{R}$ (called the final topology) via

$$\mathcal{T}_\mathbb{R} = \{ U \subset \mathbb{R} \mid f^{-1}(U) \in \mathcal{T}\}$$

What we are doing here is, we define the open subsets of $\mathbb{R}$ exactly to be those subsets, for which $f^{-1}(U)$ is an element of $\mathcal{T}$, i.e. of the given topology on $\{1,2,3\}$.

Now how do the open sets of $\mathbb{R}$ with respect to $\mathcal{T}_\mathbb{R}$ look like?

Considering that we have $$f\colon \{1,2,3\} \mapsto \mathbb{R},\ x \mapsto x^2$$

we get $$\mathcal{T}_\mathbb{R} =\{ \mathbb{R}, \varnothing,\{1\},\{4\},\{9\},\{1,4\},\{1,9\},\{4,9\},\{1,4,9\} \}$$

Now by construction, your map $f$ is actually continuous on $\{1,2,3\}$! That's simply because we build the topology on $\mathbb{R}$ in exactly the way that the preimage of $f$ for every declared open subset of $\mathbb{R}$ is an open subset of $\{1,2,3\}$.

Now you can't possibly draw your function $f$ in the same way you would expect it to look like as if we had a function $f:\mathbb{R} \to \mathbb{R}$.

But any visualization is fine, as long as it reflects what's actually happening, namely the preimage of every open subset in $\mathcal{T_\mathbb{R}}$ is an element of $\mathcal{T}$.

Do not hesitate to ask questions, if you have any.

Zest
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  • First of all, thank you for this answer! Its great to hear that my concern arent that "stupid" since I am currently at the start of Analysis and despite from hearing it now and then I actually dont know what Topology exactly is. Simply because Ill learn about it in 2 years. (4th/5th semester) Despite that Im still curious to get atleast some insight what continuity on an abstract level really means :) thats why I looked up some of the words you were using to make sense of your answer. Now some little additional questions: why is $\lbrace 1,2,3 \rbrace$ an open set? – CoffeeArabica Jun 07 '20 at 09:19
  • if I would have choosen my map to be $f:\lbrace 0,2,3 \rbrace \longrightarrow \mathbb{R}:x \mapsto \ln(x)$ it wouldnt have worked since we cannot put $0$ into the logarithmic function, so somewhere in the system youve shown this wouldnt work for the map I choosen in this comment. because for example $\lbrace 0 \rbrace$ would map onto $\lbrace \rbrace$? – CoffeeArabica Jun 07 '20 at 09:22
  • For your first question: one key property of any topology is that the whole space (on which the topology is defined) is always declared to be open. You might want to look up the definition of a topology in order to take it from there. This is btw one of the reasons, $\mathbb{R}$ is open (with respect to its chosen topology).

    To your second question: $x\mapsto \ln(x)$ is not a well defined function on ${0,2,3}$. It might help to check the definition of a function, that is, for every $x$ in the domain, there is a $f(x) = y$ in the codomain.

    – Zest Jun 07 '20 at 09:26
  • Probably should mention that the fundamental definition of continuity in a topological space is "preimages of open sets are open", which I find a little easier than bringing in category theory as well. Additionally, this gives the intuition that under the discrete topology, everything is continuous, simply because every point is separated by its own neighbourhood, so you can't ever have nontrivial $\delta$ to test with. – obscurans Jun 07 '20 at 09:36
  • well, i did mention the definition of continuity in a topological space. In fact, i was using the term "preimage" in a previous version but removed it eventually. But i agree, phrasing the definition as "preimages of open sets are open" is probably the best way to keeping it in mind. – Zest Jun 07 '20 at 09:41
  • So a topology of an finite set $X$ is the $\mathcal{P}(X)$ (Powerset)? – CoffeeArabica Jun 07 '20 at 09:42
  • It happens to be the case in this particular scenario (because i the declared the open sets as such) , but in general, the topology on a finite set $X$ does not need to be the discrete topology, i.e. $\mathcal{P}(X)$. Here is a very good overview about topologies on finite sets: https://en.wikipedia.org/wiki/Finite_topological_space – Zest Jun 07 '20 at 09:48
  • Okey for now take topology aside, or my questions will never end haha :D ehm "a function is exactly continuous on $X$ if and only if the preimages of any open set $X$ is also open" this is actually a lemma in my textbook on analysis (im using harro heuser for self study till my first semester starts) which hits your quintessence. I just didnt made enough sense out of it – CoffeeArabica Jun 07 '20 at 09:52
  • I think I s still think to much about curves when learning about analysis – CoffeeArabica Jun 07 '20 at 09:53
  • That's perfectly fine since it visualizes exactly what happens for real valued functions. Reminding the (topological) definition as "preimages of open sets are open" might eventually maybe help you understanding, where the $\varepsilon-\delta$ definition in metric spaces originates from. But don't let yourself getting too confused with topology yet. There will be plenty of it sooner or later. – Zest Jun 07 '20 at 09:57
  • It is sometimes mysterious when you have no bigger picture on maths yet :) And asking a certain question might result in infinitly more questions. Hard to not lose track when stumbling over all these questions :) So its best to for now only think about the $\delta\epsilon$-neighbourhoods? – CoffeeArabica Jun 07 '20 at 10:06
  • I think that's reasonable, yes. – Zest Jun 07 '20 at 10:09