En análisis matemático una función f(x) se dice que es uniformemente continua si pequeños cambios en el valor de x producen pequeños cambios en el valor de la función (continuidad) y el tamaño de los cambios en f(x) depende solo del tamaño de los cambios en x pero no del valor de x (uniforme).

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In mathematics, a function f is uniformly continuous if, roughly speaking, it is possible to guarantee that f(x) and f(y) be as close to each other as we please by requiring only that x and y are sufficiently close to each other; unlike ordinary continuity, the maximum distance between f(x) and f(y) cannot depend on x and y themselves. For instance, any isometry (distance-preserving map) between metric spaces is uniformly continuous. Every uniformly continuous function between metric spaces is continuous. Uniform continuity, unlike continuity, relies on the ability to compare the sizes of neighbourhoods of distinct points of a given space. In an arbitrary topological space, comparing the sizes of neighborhoods may not be possible. Instead, uniform continuity can be defined on a metric space where such comparisons are possible, or more generally on a uniform space. We have the following chain of inclusions for functions over a compact subset of the real line Continuously differentiable ⊆Lipschitz continuous ⊆ α-Hölder continuous ⊆ uniformly continuous = continuous

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