In mathematics, a sequence of functions {f_{n}} from a set S to a metric space M is said to be uniformly Cauchy if: Another way of saying this is that as, where the uniform distance d_u between two functions is defined by

Convergence criteria

A sequence of functions {fn} from S to M is pointwise Cauchy if, for each x ∈ S, the sequence {fn(x)} is a Cauchy sequence in M. This is a weaker condition than being uniformly Cauchy. In general a sequence can be pointwise Cauchy and not pointwise convergent, or it can be uniformly Cauchy and not uniformly convergent. Nevertheless, if the metric space M is complete, then any pointwise Cauchy sequence converges pointwise to a function from S to M. Similarly, any uniformly Cauchy sequence will tend uniformly to such a function. The uniform Cauchy property is frequently used when the S is not just a set, but a topological space, and M is a complete metric space. The following theorem holds:

Generalization to uniform spaces

A sequence of functions {f_{n}} from a set S to a uniform space U is said to be uniformly Cauchy if: