Limits and Continuity/Limits of Functions

Lesson 4.11,071 words

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 .
Zero is the only cluster point of the set 1/n: every window around it, however small, still catches infinitely many of the points, while 2 sits alone.

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.

The graph must enter the shaded epsilon-band and, over the delta-strip around c, never leave it. Shrinking the band forces a narrower strip.

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.

Two sequences x_n and z_n both march to c, but their images land on different heights, so no single L can be the limit and the limit fails to exist.
sin(1/x) swings between 1 and its negative ever faster as x nears 0. The sequence through the peaks and the sequence through the zeros both reach 0 but their images stay apart, so no single L is the limit.

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 .

PropertySequence versionFunction version
Sum
Product
Squeezetrapped between equal limitstrapped between equal limits
Transfer toolHeine:

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 .

At a jump the left approach settles on one height and the right approach on another; because the two disagree, the two-sided limit is undefined.

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

  1. Lebl, Basic Analysis I, §3.1 — Cluster points: Definition 3.1.1 and Proposition 3.1.2 (sequential characterization). 2
  2. Lebl, Basic Analysis I, §3.1 — Definition 3.1.3 (epsilon–delta limit) and Proposition 3.1.4 (uniqueness). 2
  3. Lebl, Basic Analysis I, §3.1 — Lemma 3.1.7, the sequential characterization of the functional limit.
  4. Lebl, Basic Analysis I, §3.1 — Corollaries 3.1.9–3.1.13 (order, bounds, squeeze, sum/product/quotient, absolute value).
  5. Lebl, Basic Analysis I, §3.1 — Definition 3.1.16 and Proposition 3.1.17 (one-sided limits).

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