Skip to content
Topos Uranos

Summary

This lesson carries limits to their first structural consequence, continuity, which the following lesson extends to all elementary functions. A function is continuous at a point when its value there is the one announced by the nearby values; with the limits of the preceding lessons, this idea is written as the usual challenge and response, with a single difference: the point itself is no longer excluded. It follows that continuity at an accumulation point amounts to the limit existing and being equal to the value, and that almost all its theorems are inherited from the algebra of limits without any new proof. Discontinuities are classified as removable, jump and essential, and the removable ones are repaired by continuous extension. The only new argument is the one for composition, where continuity does more than the limit: it removes the hypothesis that the theorem on the limit of a composition required, and it allows the limit to be brought inside a continuous function.

Learning objectives

  1. Define continuity at a point, on one side and on an interval, and relate it to the limit.
  2. Classify discontinuities as removable, jump and essential, and extend by continuity a function with a removable discontinuity.
  3. Prove the continuity of sums, products, quotients, roots and compositions of continuous functions, and deduce that of polynomials, rational functions and trigonometric functions.
  4. Compute limits by bringing them inside a continuous function, and study functions that are continuous at a single point or at none.

Definition

In the lesson on the limit of functions of a real variable, the definition deliberately excluded the point aa: the limit describes what happens near aa, not at aa, and the function may not be defined there. Continuity compares both things: what happens nearby and what happens at the point.

DefinitionFunction continuous at a point

Let ff be a function defined on a set AA and aa an element of AA. We say that ff is continuous at aa if for every ε>0\varepsilon > 0 there exists a δ>0\delta > 0 such that every xx in AA that satisfies ∣x−a∣<δ\abs{x - a} < \delta also satisfies ∣f(x)−f(a)∣<ε\abs{f(x) - f(a)} < \varepsilon:

(∀ε>0)(∃δ>0)(∀x∈A)(∣x−a∣<δ→∣f(x)−f(a)∣<ε)(\forall \varepsilon > 0)(\exists \delta > 0)(\forall x \in A)\left(\abs{x - a} < \delta \rightarrow \abs{f(x) - f(a)} < \varepsilon\right)

If ff is not continuous at aa, we say that it is discontinuous at aa. If it is continuous at all the points of a set SS contained in AA, we say that it is continuous on SS; and if it is so on its whole domain, simply that it is continuous.

The definition differs from that of the limit in three respects. The number that the values must approach is not an arbitrary LL, but f(a)f(a); that is why aa must belong to the domain. The response ∣x−a∣<δ\abs{x - a} < \delta does not exclude x=ax = a, although including it costs nothing, because ∣f(a)−f(a)∣=0\abs{f(a) - f(a)} = 0. And aa is not required to be an accumulation point of AA. The negation is obtained as in the lesson on the limit: ff is discontinuous at aa if there exists an ε>0\varepsilon > 0 such that, for every δ>0\delta > 0, there is an xx in AA with ∣x−a∣<δ\abs{x - a} < \delta and ∣f(x)−f(a)∣≥ε\abs{f(x) - f(a)} \geq \varepsilon.

PropositionContinuity and limit

Let ff be a function defined on AA and aa an element of AA. If aa is an accumulation point of AA, then ff is continuous at aa if and only if lim⁡x→af(x)=f(a)\lim_{x \to a} f(x) = f(a). If aa is an isolated point of AA, then ff is continuous at aa. The two definitions ask for the same thing except at the point aa, where continuity holds by itself. In the figure, the band surrounds the value f(a)f(a), which is now a filled dot on the graph; at the end, an isolated point of the domain appears.

Proof

  1. 0<∣x−a∣<δ→∣x−a∣<δ→∣f(x)−f(a)∣<ε0 < \abs{x - a} < \delta \rightarrow \abs{x - a} < \delta \rightarrow \resaltar{\abs{f(x) - f(a)} < \varepsilon}

    If ff is continuous at aa, the response δ\delta to each challenge ε\varepsilon holds in particular for the xx with 0<∣x−a∣<δ0 < \abs{x - a} < \delta: it is a response for the limit, with L=f(a)L = f(a).

  2. x=a→∣f(a)−f(a)∣=0<εx = a \rightarrow \abs{f(a) - f(a)} = \resaltar{0} < \varepsilon

    Conversely, if the limit is f(a)f(a), the response of the limit covers the xx different from aa, and at x=ax = a the condition always holds: it is a response for continuity.

  3. ∣x−a∣<δ∧x∈A→x=a→∣f(x)−f(a)∣=0<ε\abs{x - a} < \delta \wedge x \in A \rightarrow x = a \rightarrow \abs{f(x) - f(a)} = 0 < \varepsilon

    If aa is an isolated point, there exists a δ>0\delta > 0 such that the only element of AA with ∣x−a∣<δ\abs{x - a} < \delta is aa itself. That δ\delta responds to all the challenges at once.

Therefore, at an accumulation point of the domain, continuity consists of three things: that ff be defined at aa, that it have a limit at aa, and that this limit be f(a)f(a). Each one can fail separately, and the classification of discontinuities comes from this. For example, the function that equals 11 at every x≠0x \neq 0 and 00 at x=0x = 0, from the counterexample on composition in the lesson on the algebra of limits, has limit 11 at 00, different from its value: it is discontinuous at 00.