Learning goals and relative-domain limits
Prove intermediate values from the supremum property, use sequence criteria correctly, and extend a uniformly continuous function to a closure. If and is an accumulation point of , the relative-domain limit as , , means: every has a such that , implies . The function need not be defined at .
Theorem: the sequence criterion for limits
That limit equals if and only if every sequence converging to has .
Proof. Given the limit definition, eventually lies within the chosen , so its outputs lie within . Conversely, if the limit definition fails, some allows for each a point with and . This sequence converges to but its outputs do not converge to , contradicting the stated criterion. It is important that the criterion tests every sequence, not just convenient examples.
Theorem: intermediate value property
If is continuous on , , and , some satisfies .
Proof. Let , nonempty and bounded above. Put . Continuity at and ensure points of to the right of , so . Continuity at and exclude a final interval near from , so . For every , the supremum criterion supplies with . Continuity yields . If , continuity makes at points slightly to the right of still in , contradicting upper boundedness by . Hence . Reversing the endpoints or considering endpoint equality gives the other cases.
Uniform continuity extends to the closure
Let be uniformly continuous. Then there is a unique continuous extension , and this extension is uniformly continuous.
Proof. For , choose with . This sequence is Cauchy. Uniform continuity makes Cauchy: after choosing its one for a target output tolerance, sufficiently late pairs of are within that . Real completeness gives a limit. If is another choice, then , so uniform continuity gives . The limit is therefore independent of the approximating sequence; define it to be . A constant approximating sequence at proves it extends .
To prove uniform continuity, fix and choose for with output tolerance . If and , choose sequences in . For all sufficiently large , , so . Passing to limits gives , uniformly in . Finally any continuous extension must have these same sequence limits, proving uniqueness. For , the closure and extension are empty and the statement is vacuous.
Worked examples
A removable missing endpoint. On , is Lipschitz since . The theorem supplies the unique continuous extension to , with values zero and one at the missing endpoints.
Why ordinary continuity is insufficient. The function is continuous on but has no finite continuous extension at zero. Pairs and for become arbitrarily close while output differences equal , so it is not uniformly continuous. The theorem does not apply. Completeness of the target also matters: rational approximations can be Cauchy without converging to a rational number.
Graded practice
- Foundation. Use the intermediate value theorem to show has a solution in , then prove uniqueness.
- Core. Show that a uniformly continuous function sends every Cauchy sequence in its domain to a Cauchy sequence.
- Core. Give a continuous function on with no continuous extension to because of oscillation rather than unboundedness.
- Proof. If two continuous functions on agree on , prove they agree everywhere. Does agreement on the integers suffice?
Full solutions
- The polynomial takes values and at the endpoints and is continuous, so an intermediate zero exists. If , then , so the function is strictly increasing and has at most one zero.
- Given , choose a uniform for the function. The Cauchy input sequence has every pair of sufficiently late terms within , hence their outputs differ by less than . This is exactly the output Cauchy condition.
- Take . Sequences and tend to zero but have outputs and . Thus no endpoint limit exists despite boundedness.
- For any real , rational density gives a sequence . Continuity gives . The integers are not dense: and agree at every integer but not at .
Summary and term definitions
An accumulation point is approached by other domain points. A closure adds all limit points. A continuous extension fills missing values without breaking continuity. Uniform continuity controls pairs across the whole domain and thereby preserves Cauchy behavior; target completeness supplies the limits needed to fill the closure. Intermediate values follow from completeness plus continuity, not from a graph's appearance.