Cauchy-continuous function

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In mathematics, a Cauchy-continuous, or Cauchy-regular, function is a special kind of continuous function between metric spaces (or more general spaces). Cauchy-continuous functions have the useful property that they can always be (uniquely) extended to the Cauchy completion of their domain.

1 Definition
2 Properties
3 Examples and non-examples
4 Generalisations
5 References

[edit] Definition

Let X and Y be metric spaces, and let f be a function from X to Y. Then f is Cauchy-continuous if and only if, given any Cauchy sequence (x₁, x₂, …) in X, the sequence (f(x₁), f(x₂), …) is a Cauchy sequence in Y.

[edit] Properties

Every uniformly continuous function is also Cauchy-continuous, and any Cauchy-continuous function is continuous. Conversely, if X is a complete space, then every continuous function on X is Cauchy-continuous too. More generally, even if X is not complete, as long as Y is complete, then any Cauchy-continuous function from X to Y can be extended to a function defined on the Cauchy completion of X; this extension is necessarily unique.

[edit] Examples and non-examples

Since the real line ℝ is complete, the Cauchy-continuous functions on ℝ are the same as the continuous ones. On the subspace ℚ of rational numbers, however, matters are different. For example, define a two-valued function so that f(x) is 0 when x² is less than 2 but 1 when x² is greater than 2. (Note that x² is never equal to 2 for any rational number x.) This function is continuous on ℚ but not Cauchy-continuous, since it can't be extended to ℝ. On the other hand, any uniformly continuous function on ℚ must be Cauchy-continuous. For a non-uniform example on ℚ, let f(x) be 2^x; this is not uniformly continuous (on all of ℚ), but it is Cauchy-continuous.

A Cauchy sequence (y₁, y₂, …) in Y can be identified with a Cauchy-continuous function from {1, 1/2, 1/3, …} to Y, defined by f(1/n) = y_n. If Y is complete, then this can be extended to {1, 1/2, 1/3, …, 0}; f(0) will be the limit of the Cauchy sequence.

[edit] Generalisations

Cauchy continuity makes sense in situations more general than metric spaces, but then one must move from sequences to nets (or equivalently filters). The definition above applies, as long as the Cauchy sequence (x₁, x₂, …) is replaced with an arbitrary Cauchy net. Equivalently, a function f is Cauchy-continuous if and only if, given any Cauchy filter F on X, then f(F) is a Cauchy filter on Y. This definition agrees with the above on metric spaces, but it also works for uniform spaces and, most generally, for Cauchy spaces.

Any directed set A may be made into a Cauchy space. Then given any space Y, the Cauchy nets in Y indexed by A are the same as the Cauchy-continuous functions from A to Y. If Y is complete, then the extension of the function to A ∪ {∞} will give the value of the limit of the net. (This generalises the example of sequences above, where 0 is to be interpreted as 1/∞.)