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Functional Spaces in Topology 📂Topology

Functional Spaces in Topology

Definition 1

A function space is defined as the product space YXY^{X} for topological spaces XX and YY. YX:=xXY={f  f:XY is a function} Y^{X} : = \prod_{x \in X} Y = \left\{ f \ | \ f : X \to Y \text{ is a function} \right\}

The topology for the function space can be:

  1. For an open set UU in xXx \in X and YY, let S(x,U)={fYX  f(x)U} S (x , U) = \left\{ f \in Y^{X} \ | \ f(x) \in U \right\} The topology generated by the subbasis {S(x,U)  xX,UY}\left\{ S(x,U) \ | \ x \in X , U \subset Y \right\} for YXY^{X} is called the Point-Open Topology.
  2. For a compact set KXK \subset X and an open set UU in YY, let S(K,U)={fYX  f(K)U} S (K , U) = \left\{ f \in Y^{X} \ | \ f(K) \subset U \right\} The topology generated by the subbasis {S(K,U)  KX,UY}\left\{ S(K,U) \ | \ K \subset X , U \subset Y \right\} for YXY^{X} is called the Compact-Open Topology.

Let’s say (Y,d)(Y,d) is a metric space.

  1. For a compact set KXK \subset X and ε>0\varepsilon > 0, let BK(f,ϵ)={gYX  supxK{d(f(x),g(x))}<ε} B_{K} (f, \epsilon) = \left\{ g \in Y^{X} \ \left| \ \sup_{x \in K} \left\{ d(f(x),g(x)) \right\} < \varepsilon \right. \right\} The topology generated by the basis {BK(f,ε)  KX,ε>0}\left\{ B_{K} (f, \varepsilon ) \ | \ K \subset X , \varepsilon > 0 \right\} for YXY^{X} is called the Topology of Compact Convergence.
  2. The uniform metric ρ(f,g):=supxX{min{d(f(x),g(x)),1}} \overline{ \rho } (f,g) : = \sup_{x \in X} \left\{ \min \left\{ d(f(x) , g(x) ) , 1 \right\} \right\} generates the topology for the metric space (YX,ρ)(Y^{X} , \overline{ \rho } ) called the Uniform Topology.

Theorem

  • [1]: The Compact-Open Topology is larger than the Point-Open Topology.
  • [2]: The Topology of Compact Convergence is larger than the Point-Open Topology.
  • [3]: The Uniform Topology is larger than the Compact-Open Topology.
  • [4]: The Uniform Topology is larger than the Topology of Compact Convergence.
  • [5]: If XX is a discrete space, the Topology of Compact Convergence for YXY^{X} is the same as the Point-Open Topology.
  • [6]: If XX is a compact space, the Topology of Compact Convergence for YXY^{X} is the same as the Tychonoff Topology.

Let {fn:XY}\left\{ f_{n} : X \to Y \right\} be a sequence in YXY^{X}, and let the function restricted to the domain KXK \subset X be denoted as fnK:KYf_{n} |_{K} : K \to Y.

  • [7]: If {fn}\left\{ f_{n} \right\} converges to ff in the Point-Open Topology of YXY^{X}, then for every xXx \in X, fn(x) f_{n} (x) converges to f(x)f(x).
  • [8]: If {fn}\left\{ f_{n} \right\} converges to ff in the Topology of Compact Convergence of YXY^{X}, then for every compact KXK \subset X, fnKf_{n} |_{K} uniformly converges to fKf |_{K}.

For a set of continuous functions whose domain is the topological space XX and codomain is the metric space YY, C(X,Y):={fYX  f is continuous} C(X,Y) := \left\{ f \in Y^{X} \ | \ f \text{ is continuous} \right\} and let C(X,Y)C(X,Y) be a subspace of YXY^{X}.

  • [9]: The Compact-Open Topology and the Topology of Compact Convergence for C(X,Y)C(X,Y) are the same.
  • [10]: The Topology of Compact Convergence for C(X,Y)C(X,Y) does not depend on the distance function of YY.
  • [11]: If the sequence {fn}\left\{ f_{n} \right\} of C(X,Y)C(X,Y) converges to fYXf \in Y^{X}, then f:XYf : X \to Y is a continuous function.

Explanation

In particular, C(X,R)C(X, \mathbb{R}) is represented as C(X)C(X), and especially when XX is an interval, that is, when X=(a,b)X=(a,b), X=[a,b]X=[a,b], they are represented as C(a,b)C(a,b), C[a,b]C[a,b], respectively.

[1]~[4]

To summarize, one can say the Point-Open Topology is smaller, and the Uniform Topology is larger.

[7], [8]

It can be useful in demonstrating uniform continuity of functions.

[10], [11]

As a generalization of analysis to general topology, this is very important as a fact.


  1. Munkres. (2000). Topology(2nd Edition): p267. ↩︎