Before you begin
- Functions, domains, interval notation, and difference quotients.
Learning objectives
- Distinguish a limit from evaluation at a point.
- Use one-sided limits to test existence of a two-sided limit.
- Distinguish finite limits, unbounded behavior, and oscillation.
The secant calculation gave a quantity that was undefined at the input we wanted. This is not an unusual defect to patch. It is the reason we need a new concept. We want to describe what outputs do when inputs approach a point through other allowed inputs.
Consider
Factoring shows that at every input in its domain. As approaches , the outputs approach . We write . We have made a statement about values near , although is not defined.
A punctured neighborhood
The informal meaning of a finite limit is that outputs can be made arbitrarily close to by keeping inputs sufficiently close to , while excluding itself. The exclusion matters. A punctured neighborhood has the form . For the two-sided limits used here, our functions are defined throughout some such neighborhood. More general domain-relative limits are possible, but we will state explicitly when an endpoint requires a one-sided approach.
Now define a new function that agrees with for but has . Its limit at is still . Altering one value does not change nearby behavior. On the other hand, altering all values to the right of can change the limit even if the value at stays fixed.
The assertion also does not require to equal near . For , the limit at is , but no nonzero input has output . Nor does it forbid equality: a constant function can equal its limit everywhere.
Left and right must agree
The notation restricts the approach to ; restricts it to . A finite two-sided limit exists exactly when the two finite one-sided limits exist and agree, under the neighborhood assumption above.
For a concrete jump, let when and when . Then
No two-sided finite limit exists at . Choosing , , or cannot repair this disagreement. There is no single output target that describes both sides.
At a domain endpoint, a one-sided question is often the appropriate one. For on , the right-hand limit at is . There is no real-valued graph to its left. We should state the right-hand limit rather than pretend we have checked both sides.
A table is evidence, not a guarantee
For , inputs , , , and give , , , and . The factorization establishes what every permitted nearby input does; the table only illustrates a few inputs. A finite collection of samples cannot rule out a narrow spike or rapid oscillation between sampled points.
For example, has no limit as . Along its values are . Along they are . Both input sequences tend to zero. A common finite limit would force both output sequences toward the same value, which is impossible.
Contrast this with . Its oscillations are trapped in an envelope whose height tends to zero. That function does have limit zero. Oscillation by itself does not settle the question; its amplitude matters.
Infinity describes behavior
Writing means the values eventually exceed any prescribed positive bound as nonzero inputs approach zero. It does not assign a real value called infinity. For , the right-hand behavior is and the left-hand behavior is , so even their unbounded directions disagree.
Limits at infinity concern large inputs instead: . The graph approaches the horizontal axis while never reaching it. A vertical asymptote concerns behavior near a finite input; a horizontal asymptote concerns behavior as inputs become unbounded. They answer different questions.
Exercises
- Let for and . Find the limit at and the function value there.
- Find both one-sided limits of at zero. Does a two-sided limit exist?
- Explain why has no finite real limit at zero.
- Give two functions that have the same limit at but different values at .
- Explain why a graph drawn from 1,000 sample points cannot establish a limit for every function.
- Find two sequences showing that has no limit at zero.
Worked solutions
- The limit is because the nearby formula is ; .
- The left limit is and the right limit is , so no two-sided limit exists.
- Values exceed every real bound near zero. No finite candidate can remain close to those arbitrarily large outputs.
- Use everywhere and except . Both limits are .
- Sampling leaves unexamined inputs. A function can agree at all sampled points but behave differently between them or closer to the target.
- For positive integers , use and . Outputs are and while both sequences approach zero.