Limit of a Function
BasisPrerequisites
You already know how sequences converge in a metric space — a sequence converges to if its terms eventually land arbitrarily close to . Functions are different: is defined for all real near a point, not just a discrete list of them. The limit of a function captures what value approaches as moves continuously toward a target, without requiring to be defined at that target or to agree with the limiting value there.
The ε–δ definition
Let be a real-valued function defined on some set , and let be a limit point of — meaning every neighborhood of contains a point of other than itself. A real number is the limit of at if for every there exists such that
When this holds, you write
The condition says that is within distance of , but not equal to . The behavior of at itself is irrelevant to the limit — might not even be defined there.
What ε–δ is actually saying
Given a tolerance , you must produce a radius such that whenever is within distance of (and ), the output is within distance of . The smaller you make the tolerance, the tighter the radius may need to be. The limit exists if this challenge can always be met.
The sequential characterization
There is an equivalent formulation in terms of sequences, which is often easier to use in proofs.
Theorem. if and only if for every sequence in with , one has .
Proof.
() Suppose the ε–δ condition holds. Let be any sequence in with . Given , choose from the ε–δ definition. Since , there exists such that for all . Since also , the ε–δ condition gives for all . So .
() Suppose the ε–δ condition fails. Then there exists such that for every there is some with but . Choosing at each step produces a sequence in with but for all , so .
The sequential form is particularly useful for proving a limit does not exist: find two sequences approaching along which tends to different values.
Uniqueness
If the limit of at exists, it is unique. The proof is immediate from the sequential characterization: if and , then for any sequence with , both and , so by uniqueness of sequence limits.
One-sided limits
Sometimes approaches different values depending on the direction of approach. The left-hand limit is
if for every there exists such that implies . The right-hand limit is defined symmetrically.
The two-sided limit exists and equals if and only if both one-sided limits exist and equal .
Computing limits
Polynomials and rational functions
For any polynomial and any :
This follows from and the arithmetic rules for limits proved in Local Properties of Limits. For a rational function with , the quotient rule gives .
When but as well, you may be able to cancel a common factor before taking the limit.
A fundamental trigonometric limit
The standard geometric proof shows for . Since as , the squeeze theorem forces the middle expression to as well.
Summary
- The ε–δ definition: means for every there exists such that implies . The value (or existence) of at itself is irrelevant.
- Sequential characterization: if and only if for every sequence with . Both characterizations are equivalent.
- The two-sided limit exists iff both one-sided limits exist and agree.
- Limits of polynomials and rational functions (with nonzero denominator) equal the function value at the point; the squeeze theorem handles many other cases.