Limits of Functions
The limit of a function at a point is an epsilon–delta condition pinning one value L as the target of f(x) as x approaches c, mirroring the sequence definition with distance replacing index. It is stated only at cluster points of the domain, is unique when it exists, and reduces to sequential limits through the Heine criterion.
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Sequences let approach a target through a discrete list
The limit of a function poses the same question for a continuous variable: as
ranges over a set and moves toward a point , does settle on one
value ? The definition is the sequence definition with past index
replaced by within distance of ,
and almost everything about
functional limits is recovered by turning the continuous approach back into
sequences.
Two points need care before the definition works. First, can only approach if actually has points arbitrarily near ; otherwise the condition is vacuous. Second, the value is irrelevant — need not even be defined at , and when it is, can differ from . A limit describes near while ignoring itself.
Cluster points
A cluster point need not belong to . The word isolates exactly the points at
which approach within
is possible.
- The set has the single cluster point , which is not in the set.
- The cluster points of are all of ; the endpoints are cluster points not contained in the open interval.
- Every real number is a cluster point of , by density of the rationals.
- The set has cluster-point set ; the isolated point is not a cluster point.
- has no cluster points in : around any real, only finitely many integers lie within distance .
The definition ties directly to convergent sequences.
The epsilon–delta definition
Read as a target tolerance on the output and as the input
window that achieves it. The clause (the ) is what
lets the limit ignore the value at . Geometrically, for every horizontal band
of half-height around , there is a vertical strip of half-width
around in which the graph stays inside the band.
Capping at first bounds the slope factor ; the remaining factor of then finishes the estimate. The same two-stage choice recurs throughout – arguments with a nonconstant slope.
Uniqueness
The cluster-point hypothesis is what supplies the point ; without it every would satisfy the definition vacuously.
The sequential (Heine) criterion
The Heine criterion converts functional limits into sequential limits, so the algebra of sequence limits transfers directly.
The quantifier ranges over every sequence. To prove a limit fails it is enough to produce one bad sequence, or two sequences whose images converge to different values.
The algebra of limits
Feeding the Heine criterion into the sequence limit laws produces the function limit laws with no new work. Let be a cluster point of and suppose and exist.4
- Order. If on , then .
- Bounds. If on , then .
- Squeeze. If near and , then exists and equals the common value.
- Sum, difference, product. The limit of and of is the sum, difference, and product of the limits.
- Quotient. If and on , then .
- Absolute value. .
The computation above is an instance of the squeeze law: , with both envelopes tending to .
| Property | Sequence version | Function version |
|---|---|---|
| Sum | ||
| Product | ||
| Squeeze | trapped between equal limits | trapped between equal limits |
| Transfer tool | — | Heine: |
One-sided limits
Restricting the domain to one side of gives limits that can exist even when the two-sided limit does not.
The two-sided limit exists exactly when both one-sided limits exist and agree, since .
Restrictions and locality
The limit depends only on near . If agrees with on some punctured window , then is a cluster point of iff it is one of , and . One-sided limits are the standard case where is a genuine one-sided slice, so the two-sided limit can fail to exist while a restricted limit exists.
Continuity is the condition : the limit exists at and equals the function's value there.
Footnotes
- Lebl, Basic Analysis I, §3.1 — Cluster points: Definition 3.1.1 and Proposition 3.1.2 (sequential characterization). ↩ ↩2
- Lebl, Basic Analysis I, §3.1 — Definition 3.1.3 (epsilon–delta limit) and Proposition 3.1.4 (uniqueness). ↩ ↩2
- Lebl, Basic Analysis I, §3.1 — Lemma 3.1.7, the sequential characterization of the functional limit. ↩
- Lebl, Basic Analysis I, §3.1 — Corollaries 3.1.9–3.1.13 (order, bounds, squeeze, sum/product/quotient, absolute value). ↩
- Lebl, Basic Analysis I, §3.1 — Definition 3.1.16 and Proposition 3.1.17 (one-sided limits). ↩
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