Uniformly Cauchy sequence: Difference between revisions

From testwiki
Jump to navigation Jump to search
imported>Semiring&tropical
Generalization to uniform spaces: The definition given in the original version was a definition of pointwise Cauchy in a metric space, not uniformly Cauchy in a uniform space.
 
(No difference)

Latest revision as of 07:53, 13 December 2024

In mathematics, a sequence of functions {fn} from a set S to a metric space M is said to be uniformly Cauchy if:

  • For all ε>0, there exists N>0 such that for all xS: d(fn(x),fm(x))<ε whenever m,n>N.

Another way of saying this is that du(fn,fm)0 as m,n, where the uniform distance du between two functions is defined by

du(f,g):=supxSd(f(x),g(x)).

Convergence criteria

A sequence of functions {fn} from S to M is pointwise Cauchy if, for each xS, 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:

  • Let S be a topological space and M a complete metric space. Then any uniformly Cauchy sequence of continuous functions fn : SM tends uniformly to a unique continuous function f : SM.

Generalization to uniform spaces

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

  • For any entourange E of U, there exists N>0 such that, for all xS, (fn(x),fm(x))E whenever m,n>N.

See also


Template:Mathanalysis-stub