The Timpson Lyceum · Calculus 1 (2024)
Definition of Limits & One-Sided Limits - Lecture 5 (Calculus 1)
Overview
This lecture replaces the intuitive "what the function gets close to" idea of a limit with the precise epsilon–delta (–) definition, the foundational definition of calculus. Because continuity, derivatives, and integrals are all built on limits, mastering this definition is essential. After motivating the definition with an interval "game," we work through several – proofs (including the limit of a sum), then introduce one-sided (left-hand and right-hand) limits and the theorem connecting them to two-sided limits. The lecture closes with the squeeze (sandwich) theorem and its use to evaluate trigonometric limits like .
Key Concepts
The interval "game" (intuition). Given , a point , and a target output , the goal is: for any chosen tolerance around , find an interval around whose image lands entirely inside that tolerance. You only need to find an interval that works — not the largest one. The output tolerance is ; the input radius is .
Precise definition of a limit. Let be defined on an open interval around , except possibly at itself. We say provided that for every there exists a such that for all ,
- Why (a difference). The absolute value of a difference is the distance between two numbers; we want the output to stay within of .
- Why . The strict lower bound excludes . A limit never cares about the value (or even existence) of at — only about behavior arbitrarily close to . This is why a function can have a hole at and still have a limit there.
- is not . "" means being true forces ; it does not mean and are equal.
How an – proof works. You are given an arbitrary and must produce a (expressed in terms of ) that makes the implication hold. There is no single "right" — infinitely many work, since any smaller also works. The standard method:
- Scratch work (find ): start from , substitute , and algebraically solve until you isolate . The bound on that emerges is your .
- The proof (verify ): declare your , assume , and show the chain of implications runs forward to . The logic flows so the input bound implies the output bound.
The trick for nonlinear . When simplifying produces an extra variable factor (e.g. ), you cannot bound until you first restrict . Set . The "" pre-bounds to a finite interval, giving a numeric upper bound on the troublesome factor; the -expression then forces .
Triangle inequality. . This is the key tool for proving the limit of a sum: group as and bound each piece by .
One-sided limits. A one-sided limit approaches from only one direction.
- Right-hand limit: if for every there is a such that (uses only points to the right of ).
- Left-hand limit: uses (points to the left).
- The definitions are identical to the two-sided one except the input condition restricts the side; is still excluded.
Existence theorem. The two-sided limit exists and equals if and only if both one-sided limits exist and agree: If the one-sided limits differ (e.g. a jump), no two-sided limit exists. At a domain endpoint (e.g. at , or at ), one side is undefined, so only a one-sided limit can exist.
Limits need not exist. A function defined "nicely" can still fail to have a limit: oscillates faster and faster as , never settling on one value, so does not exist.
Squeeze (Sandwich) Theorem. If near and , then . Using the unit-circle area comparison (the sector area being for radius ) gives, after simplifying, the central trig limit:
Companion trig limits. Built from the result above and the limit laws (the limit of a product/constant multiple distributes), e.g. , , and .
Worked Example
Prove that .
Here , , . Given any , work backward from to find , then state the forward proof.
Rule (what must be shown): .
Since for every the choice forces , the limit is .
Summary
- The precise definition: means for every there is a with — the input bound guarantees the output bound .
- In a proof you are handed and must construct a (in terms of ); any sufficiently small works, so there is no unique answer.
- For nonlinear functions, use to first bound the extra variable factor, and use the triangle inequality to prove the limit of a sum (split the error into pieces).
- One-sided limits restrict the approach to (right) or (left); the two-sided limit exists iff both one-sided limits exist and are equal.
- A limit need not exist (e.g. at ), and at domain endpoints only a one-sided limit is meaningful.
- The Squeeze Theorem traps between two functions with a common limit; it yields , the foundation for the other trigonometric limits.