Limits and Continuity/Continuity on Metric Spaces

Lesson 4.5965 words

Continuity on Metric Spaces

The epsilon–delta definition used only distances, so continuity transfers to maps between metric spaces by replacing absolute values with the two metrics. In this generality continuity still admits a sequential form, preserves compactness and connectedness, is uniform on a compact domain, and reads topologically as preimages of open sets being open, the formulation that defines homeomorphisms.

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Nothing in the definition of continuity used the arithmetic of ; it used only the distances between inputs and between outputs. Replace those absolute values with a metric on the domain and a metric on the codomain, and the theory of real limits and continuity acquires a general form. The abstraction covers functions of several variables, maps between function spaces, and operators on sequences under one definition.

Continuity between metric spaces

Read it as before: every output ball of radius around is reached by some input ball of radius around . On with the standard metric this reduces to the old definition. The sequential characterization carries over unchanged.

Continuity as a ball condition: for the epsilon-ball around f(c) in Y, some delta-ball around c in X maps entirely inside it.
The saddle xy over x-squared plus y-squared: constant along each ray through the origin at a value set by the ray's slope, so approaching along different lines gives different limits and joint continuity fails.

Compactness and the extreme value theorem

The proof that a continuous function attains its extremes on used only that is compact. In a metric space the same argument, via sequential compactness, gives the general statement.

The statement about closed bounded intervals is the special case .

Continuity likewise preserves connectedness: the image of a connected space under a continuous map is connected. This is the general intermediate value theorem: if is connected and is continuous, takes every value between any two of its values.

A continuous map carries a compact set to a compact set and a connected set to a connected set; both structural properties survive the arrow.

The topological characterization

The formulation that generalizes most cleanly drops and and speaks only of open sets.

Local topological continuity: for any open U around f(c), the preimage contains an open neighborhood W of c that f maps into U.

Uniform continuity and homeomorphisms

The definition of uniform continuity transfers the same way.

As on the line, Lipschitz maps (those with ) are uniformly continuous, with .

The open-set formulation also defines the maps that identify two metric spaces topologically.

A continuous bijection need not have a continuous inverse in general, but compactness forces it: a continuous bijection from a compact space to a metric space is automatically a homeomorphism, since it carries closed (hence compact) sets to compact, hence closed, sets, so preimages under of closed sets are closed. Homeomorphisms preserve every property defined purely from the open sets, compactness and connectedness among them.

Two settings on the real line fall outside this metric picture: limits as the variable runs off to , and the control that monotonicity imposes on where a function may be discontinuous. Both use the order of , which a general metric space lacks.

Footnotes

  1. Lebl, Basic Analysis I, §7.5 — Definition 7.5.1 and Proposition 7.5.2 (continuity between metric spaces and its sequential characterization). 2
  2. Lebl, Basic Analysis I, §7.5 — Lemma 7.5.5 (continuous image of a compact set) and Theorem 7.5.6 (extreme value theorem on a compact metric space). 2
  3. Lebl, Basic Analysis I, §7.5 — Lemma 7.5.7, Theorem 7.5.8, and Example 7.5.9 (topological characterization of continuity; zero sets closed). 2
  4. Lebl, Basic Analysis I, §7.5 — Definition 7.5.10, Theorem 7.5.11 (continuity on a compact space is uniform), and Example 7.5.13 (Lipschitz maps). 2

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