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Continuous Map if Both Are Given the Corresponding Inductive Limit Topology Stackexchange

Following what we did for real analysis, we have the following definition of limits.

Definition of Limits. Let X, Y be topological spaces and a\in X. If  f : X-{a} → Y is a function, then we write \lim_{x\to a} f(x) = b \in Y if the function:

g:X\to Y,\ g(x) = \begin{cases} f(x), &\text{if } x\ne a, \\ b, &\text{if }x=a.\end{cases}

is continuous at x=a. In words, we say that f(x) approaches b as x approaches a.

Definition of Convergence. If X is a topological space, a sequence of elements x_n \in X is said to converge to a if the function f :N* – {∞} → X, f(n) = xn, approaches a as n approaches ∞. A sequence which has a limit is called aconvergent sequence.

[ Refer here for the definition ofN*. ]

sequence_in_topo

We shall show that this convergence is consistent with our earlier definition of convergence.

Proposition. Let (X, d) be a metric space. Then a sequence x_n\in X converges to a (in the above definition) if and only if:

  • for any ε>0, there exists N such that whenever n>N, d(x_n, a) < \epsilon.

Proof.

  • Suppose x_n\in\mathbf{R} converges to a.  Given any ε>0, N(a, ε) is an open ball containinga. By definition, if g:N* → X is defined by g(n)=xn , forn=1, 2, 3, … andg(∞)=a, theng is continuous at ∞. Thus U:=g^{-1}(N(a,\epsilon)) contains an open subset ofN* containing ∞. SoU contains someUN = {N,N+1,N+2, … } and n>N\implies n\in U\implies x_n=g(n)\in N(a,\epsilon).
  • Conversely, assume the condition in the proposition holds; let's prove thatg is continuous at ∞. Now any open subset V\subseteq X containinga must contain an open ball N(a,\epsilon) \subseteq V for some ε>0. Then there existsN such that whenevern>N, d(x_n, a)<\epsilon \implies x_n \in N(a,\epsilon). Thus g^{-1}(V) contains the setUN +1 = {N+1,N+2,N+3, …, ∞} which is an open subset containing ∞. ♦

In addition toN*, let's consider the extended real line\overline{\mathbf{R}} = \mathbf{R}\cup \{-\infty, \infty\}. Again we should think of the infinities as dummy symbols. Its topology is defined via the basis:

Then all prior limits can be expressed via the extended real line. For example:

Proposition.

Proof.

We'll prove (LHS) → (RHS) and leave the converse to the reader.

Let's prove the first statement. Suppose LHS holds; we need to show g:\mathbf{N}^* \to \overline{\mathbf{R}} which takes n\mapsto x_n, \infty\mapsto \infty is continuous at ∞. Indeed, any open subset of \overline{\mathbf{R}} containing ∞ must contain some (L, ∞]. By classical definition, there existsN such that whenevern>N, we havexn >L. Then g^{-1}((L,\infty]) contains U_{N+1}\cup\{\infty\}, an open set containing ∞.

For the second statement, again assume LHS holds. Let g:\overline{\mathbf{R}} \to \mathbf{R} be the function which takes realx tof(x) and ∞ toL; our job is to prove continuity ofg at ∞. LetV be an open subset ofR containingL, which contains (L-ε,L+ε) for some ε>0. By classical definition, there existsM such that wheneverx>M,f(x) lies in (L-ε,L+ε) and henceV. Thus, (M,\infty] \subseteq f^{-1}(V) is an open subset of \overline{\mathbf{R}} containing ∞, andg is continuous at ∞. ♦

The point we're trying to say is this.

Summary. The various multi-case definitions of limits and convergence can all be subsumed under a single definition by considering various topological spaces.

blue-linBasic Properties of Limits

The following is basic.

Proposition. Let f : X-{a} → Y be a function where \lim_{x\to a} f(x) = b. If g : Y → Z is continuous at b, then gf : X-{a} → Z satisfies \lim_{x\to a} gf(x) = g(b).

Proof.

Define h:X\to Y and i:X\to Z via:

h(x)=\begin{cases} f(x), &\text{if } x\ne a,\\ b, &\text{if }x=a,\end{cases} andi(x) = \begin{cases} gf(x), &\text{if } x\ne a,\\ g(b), &\text{if }x=a.\end{cases}

From the condition, we know thath is continuous at a. Since g is continuous atb=h(a),i =gh is also continuous at a. ♦

Corollary. If x_n \to a in the topological space X, and f : X → Y is continuous, then f(x_n)\to f(a) in Y.

Proof

Since x_n\to a, the function g:\mathbf{N}^* \to X which takes n\mapsto x_n has a limit \lim_{n\to\infty} g(n) = a. By the previous proposition, we get \lim_{n\to\infty} f(g(n)) = f(a) and so f(x_n)\to f(a). ♦

Next we shall approach the basic question: is the limit \lim_{x\to a} f(x) unique? Phrased in such generality, the answer is no, as we saw counter-examples even for the case whereX is a subset ofR.

So let's first consider sequences.

Theorem. Let X be a topological space. Assume:

Then every sequence x_n \in X has at most one limit in X.  A topological space satisfying the above property is said to beHausdorff.

hausdorff

Thus, the Hausdorff property is a sufficient condition for unique convergence, but it's known that the condition is not necessary.

Proof.

Supposea,b are distinct limits of (x_n). Pick open subsetsU,V such that a\in U, b\in V, U\cap V=\emptyset. Then there existsM,N such that (i) whenevern>M, we have x_n \in U, (ii) whenevern>N, we have x_n\in V. The two statements clearly contradict. ♦

One obvious source of Hausdorff topological spaces is via metric spaces, i.e. metric spaces are Hausdorff. Indeed, ifx,y are distinct points in a metric spaceX, then letting ε=d(x,y)/2 > 0, we have N(x,\epsilon) \cap N(y,\epsilon) = \emptyset, for ifz satisfiesd(x,z) < ε andd(y,z) < ε, thend(x,y) ≤d(x,z) +d(z,y) < 2ε = d(x,y), which is absurd. In particular, any convergent sequence in a metric space has a unique limit.

For uniqueness of general limits, obviously we have to care about the domain spaceX.

Theorem. Let f : X-{a} → Y be a map of topological spaces. Assume the following.

  • Y is Hausdorff.
  • The singleton set {a} is not open in X.

Then there's at most one limit for \lim_{x\to a} f(x).

Proof.

Suppose b,c\in Y are distinct limits. Hence the functions g_1, g_2:X\to Y,

g_1(x) = \begin{cases} f(x), &\text{if } x\ne a,\\ b, &\text{if }x=a\end{cases} and g_2(x)=\begin{cases} f(x), &\text{if }x\ne a,\\ c &\text{if }x=a\end{cases}

are continuous. Pick open subsetsU andV ofY, such that b\in U, c\in V and U\cap V=\emptyset. Now g_1^{-1}(U) = f^{-1}(U)\cup\{a\} must contain an open subset which containsa. Same for g_2^{-1}(V) = f^{-1}(V) \cup\{a\}. But since f^{-1}(U)\cap f^{-1}(V) = f^{-1}(U\cap V)=\emptyset, the intersection of these two open subsets is {a}, which contradicts the second condition. ♦

Note: it's easy to find a counter-example when {a} is open inX. In an earlier article, we saw the following:

kindacontinuous

Here X=(-\infty, -1)\cup \{0\}\cup (1, \infty) andf :X-{0} →R is defined byf(x)=x. But because {0} is an open subset ofX,f(0) can take any value without violating its continuity.

flinchumstren1944.blogspot.com

Source: https://mathstrek.blog/2013/02/02/topology-limits-and-convergence/

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