A real function on a metric space is uniformly continuous if for every there is a such that, simultaneously for all , implies . For a continuous function on a finite closed interval , suppose this fails. Then there are and pairs with but . By compactness, some subsequence converges to ; then too. Continuity contradicts the image separation. This proves the Heine-Cantor theorem in this setting. Boundedness of the interval matters: on is a counterexample if “closed interval” includes unbounded intervals.
A function is Lipschitz continuous if some finite satisfies for every pair. Choosing proves uniform continuity.
The first assertion is false. Take , which is bounded and continuous, andThen , , while . This violates uniform continuity.
True. If everywhere, the mean value theorem applied between any two distinct points givesThus is Lipschitz continuous and hence uniformly continuous. No continuity of is needed: differentiability of gives continuity on each finite closed interval and is exactly the hypothesis needed for the mean value theorem there.
True. Define and . The map is Lipschitz continuous with constant one. The restriction of to is uniformly continuous by the Heine-Cantor theorem; its modulus of continuity combined with proves uniform continuity of on all of . For each fixed , once we have . HenceThis pointwise approximation by uniformly continuous functions even gives eventual equality on every fixed bounded interval. It need not give uniform convergence on the whole line, as the bounded counterexample in part (i) already demonstrates.
Articles by others on the same topic
There are currently no matching articles.