Analysis, Part II: Continuous Functions on Metric Spaces
September 12th, 2017
Definition: A function $f: X\rightarrow Y$ is continuous at $x_0$ if for every $\epsilon > 0$, there exists a $\delta > 0$ so that:
$$ d(x, x_0) < \delta \implies d(f(x), f(x_0)) < \epsilon $$
Theorem
The following are equivalent:
- $f$ is continuous at $x_0$.
- If $x_n \rightarrow x_0$, then $f(x_n) \rightarrow f(x_0)$.
- For every open set $V \subset Y$ containing $f(x_0)$, there is an open set $U \subset X$ containing $x_0$ so that $f(U) \subset V$.
We can generalize this statement for functions which are everywhere continuous:
Theorem
The following are equivalent:
- $f$ is continuous.
- If $x_n \rightarrow x_0$, then $f(x_n) \rightarrow f(x_0)$.
- Whenever $V$ is an open set in $Y$, $f^{-1}(V)$ is open in $X$.
- Whenever $F$ is a closed set in $Y$, $f^{-1}(F)$ is closed in $X$.
This tells us that the topology definition of open sets is exactly the same as the definition on metric spaces (used for calculus). Without a metric, we still have the definition about open sets.
As expected, compositions of continuous functions are continuous; addition, substraction, multiplication, max, and min are all continuous.
Also as expected, we can take direct sumss of functions. $f\oplus g$ is continuous at a point iff $f,g$ are both continuous at $x_0$.
Continuity and Compactness
Continuous functions interact well with compact sets in the following way.
Theorem
The image of a compact set under a continuous function is compact.
So continuity preserves compactness. The following property of compact sets is important.
Proposition
Let $f$ be a continuous function on a compact set. Then, $f$ is bounded, and it attains its maximum (and minimum) somewhere within the compact set.
A more useful generalization of continuity is uniform continuity ā the key in this definition is that it does NOT depend on $x$.
Definition: $f$ is uniformly continuous if for every $\epsilon > 0$ there exists a $\delta > 0$ so that:
$$ d(x, y) < \delta \implies d(f(x), f(y)) < \epsilon $$
For any choice of $x,y$.
And on a compact domain these two notions are equivalent!
Theorem
Let $X$ be compact. Then $f: X \rightarrow Y$ is continuous iff it is uniformly continuous.
Connectedness
Definition: $X$ is disconnected if there exist disjoint non-empty open sets $V,W$ so that $X=V\cup W$. $X$ is connected if it is nonempty and not disconnected.
Note that in this definition, $V, W$ are relatively open with respect to $X$. If there exists a larger space $X \subset Y$, To say that $V$ is open relatively with respect to $X$ is to say that $V = X \cap Vā$ for some open set $Vā \subset Y$. So this means that the definition of connectedness is intrinsic and does not depend on the ambient space.
Corollary
$X$ is connected iff the only clopen sets are $X$ itself and the empty set.
On the real line, the connected sets are precisely intervals.
Finally, continuity preserves connectedness just like it does compactness.
Theorem
Let $f: X\rightarrow Y$ be a continuous map. Let $E \subset X$ be connected. Then $f(E)$ is connected.
The simple reason why is from the definition; we can directly map back a disjoint union of open sets to a disjoint union of open sets.
As a direct corollary, we get the Intermediate Value Theorem.
Corollary
Let $f: X \rightarrow \mathbb{R}$ be continuous. Let $E$ be connected in $X$, with $a,b \in E$. If $y\in (f(a), f(b))$, then there exists $c\in E$ so that $f(c)=y$.
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