Limits and Continuity
00 · Symbol Glossary
The set of all real numbers — every number on the number line: negative, zero, positive, decimals, irrationals like . The double-struck style distinguishes it from an ordinary letter . Every function and limit in this chapter operates on real numbers.
A rule that assigns exactly one output to each input . Read "f of x." The letter names the function; is the input variable. means "evaluate at ."
The value that gets arbitrarily close to as gets arbitrarily close to — without necessarily ever equaling . This is the central object of the chapter. Read aloud: "the limit as x approaches a of f of x."
An arrow meaning "gets arbitrarily close to, without necessarily reaching." means moves toward from either or both sides, never required to land exactly on .
The right-hand limit: approaches only through values greater than . The superscript marks "from above."
The left-hand limit: approaches only through values less than . The superscript marks "from below."
Greek lowercase epsilon. In the formal definition of a limit, is an arbitrarily small positive number that measures how close must be to the limit value. Chosen first, by whoever is testing the limit.
Greek lowercase delta. A positive number measuring how close must be to to guarantee lands within of the limit. Chosen second, in response to , and typically depends on it.
Quantifiers borrowed from formal logic. reads "for every positive , no matter how small." reads "there exists some positive ." Together they build the precise limit definition in Section 02.
The distance between and on the number line, always non-negative. means " is within of ."
Not real numbers — symbols describing unbounded growth. means grows without bound as ; it does not mean the limit exists as a number. means grows without bound.
Shorthand written when a limit fails to settle on a single finite value — the left- and right-hand limits disagree, or the function oscillates, or it grows without bound.
01 · The Idea of a Limit
Suppose . Plug in directly and you get — undefined. But look at what happens as gets close to without touching it: at , ; at , ; at , . The outputs are closing in on from both sides, even though itself is undefined.
That closing-in value is the limit. A limit describes the trend of a function near a point, independent of whether the function is even defined at that point.
We write
if gets arbitrarily close to the number whenever gets sufficiently close to , from either side, with .
— the limit value, a single real number (when the limit exists).
— the behavior at is irrelevant; only the behavior near matters.
For a well-behaved function like , the limit as is found by simply plugging in:
The came from ; the final from . This works because is a polynomial — polynomials have no gaps, jumps, or holes anywhere, so the limit always equals the direct evaluation.
For and : substituting gives .
Why it breaks: is an indeterminate form — it does not mean the limit is , or , or undefined outright. It means direct substitution gives no information and a different method is required.
Correct approach: factor first. , so for : . Since the limit only cares about near , not at , the cancellation is valid, and — matching the numerical trend from above.
Consequence: whenever substitution yields , algebraic simplification (factoring, rationalizing) must be tried before concluding anything.
02 · The Formal – Definition
The informal phrase "gets arbitrarily close" needs a precise meaning to be usable in proofs. The formal definition pins it down with two tolerances: how close the output must be (), and how close the input must be to guarantee it ().
means:
Read left to right: "for every tolerance someone hands you, you can find a tolerance such that whenever is within of (but not equal to ), is guaranteed to land within of ."
— strictly positive, meaning ; the point itself is excluded.
For a straight line, the limit is visually obvious. The formal definition matters because it is the only tool precise enough to handle functions where intuition fails — oscillating functions, piecewise functions, and rigorous proofs of the limit laws used constantly from here on.
03 · One-Sided Limits and Existence
A limit is a single statement about behavior from both directions at once. Sometimes the trend from the left disagrees with the trend from the right — in that case, the two-sided limit does not exist, even though each one-sided limit exists individually.
— the value approaches as approaches using only values less than .
— the value approaches using only values greater than .
The two-sided limit exists if and only if both one-sided limits exist and agree.
Let .
From the left: (values just below all give output ).
From the right: (values just above all give output ).
Since , does not exist. This is a jump discontinuity — revisited in Section 05.
For , a student might reason: " is defined, so the limit at is ."
Why it breaks: the limit only cares about values near , not the value assigned at . As from either side, , since the definition only kicks in exactly at , a single point that the approaching values never touch.
Correct value: .
Consequence: the limit and the function value at a point are two separate quantities. They coincide for continuous functions (Section 05) but can disagree elsewhere, as here.
04 · Limit Laws and Computing Limits
Once a few basic limits are known, complicated limits can be built up algebraically rather than re-proving epsilon-delta every time.
Suppose and , both finite. Then:
— any constant (real number), not depending on .
05 · Continuity
A function is continuous at a point if its graph has no hole, jump, or break there — you could trace it through that point without lifting a pen. This intuition is formalized by tying together the limit and the function value.
is continuous at if all three conditions hold:
If is continuous at every point of an interval, it is continuous on that interval.
at : (defined). (exists). Both equal . All three conditions hold — continuous at .
Removable: the limit exists but disagrees with (or is missing from) — a single-point hole, as in Section 03's example. Jump: the one-sided limits exist but disagree, as in the step function above. Infinite: near , typically from a zero denominator — covered next.
For at : is undefined (division by ). Checking the trend: as , is a tiny positive number, so . As , is a tiny negative number, so .
Why it breaks: the one-sided trends do not approach a finite number — they grow without bound in opposite directions. Neither nor is a real number, so condition 2 of continuity fails outright, and the two-sided limit does not exist.
Consequence: has an infinite discontinuity at , marked graphically by a vertical asymptote — the curve never crosses the vertical line and shoots off toward on either side of it.
06 · The Intermediate Value Theorem
Continuity has a powerful consequence: a continuous function cannot skip over values. If it starts below a target height and ends above it, it must cross that height somewhere in between.
If is continuous on the closed interval , and is any number between and , then there exists at least one such that .
— the closed interval from to , including both endpoints.
Let . This is a polynomial, so it is continuous everywhere. Compute and .
Since is continuous on and lies between and , the IVT guarantees some with — a root of exists in that interval, even without solving for it exactly. This is the theoretical justification behind numerical root-finding methods used throughout applied mathematics.
Let on , with and . A student might claim: " is between and , so by the IVT some gives ."
Why it breaks: is not continuous on — it has an infinite discontinuity at (Section 05), so the hypothesis of the IVT is not satisfied.
Correct conclusion: in fact has no solution at all — the numerator can never equal . The IVT's guarantee simply does not apply here.
Consequence: always verify continuity on the entire interval before invoking the IVT — checking only the endpoints is not sufficient.
07 · Exercises
Try direct substitution first. If it gives , factor the numerator and cancel the common factor with the denominator.
Direct substitution gives , indeterminate. Factor: , so for : . Then .
Evaluate . Show the indeterminate form and the factoring step explicitly.
Compute the left-hand and right-hand limits separately by plugging into each piece of the definition, then compare.
. Left: . Right: . Both equal , so . But , so the limit exists yet is not continuous at (a removable discontinuity).
For , find and determine whether is continuous at .
Use the formal definition: simplify down to an inequality in , then read off in terms of .
Need . Choose . Check with : . At : , and . ✓
Using the epsilon-delta definition, find in terms of to prove . Verify numerically with .
Identify what kind of expression sits in the denominator near the point in question, and check the one-sided trends separately.
. At : for , this simplifies to , which is defined and finite at (value ) — so is a removable discontinuity (a hole), not infinite. At : the simplified form blows up as , giving from the right and from the left — an infinite discontinuity.
For , classify the discontinuities at and at as removable, jump, or infinite. Justify each with the appropriate limit computation.
Confirm is continuous on the whole interval, evaluate both endpoints, and check whether lies between them.
is a polynomial, hence continuous everywhere, including on . . . Since is not between and , the IVT as stated does not directly guarantee a root on using these endpoints — check instead: and , and lies between and , so by the IVT there is a root in .
Show that has a root somewhere in the interval using the Intermediate Value Theorem.
A quoted price feed that "jumps" between two levels with no intermediate value is the discrete analogue of a function with a jump discontinuity.
Model the fee schedule as where is trade size. Left-hand limit at : . Right-hand limit: . Since , the two one-sided limits disagree — the fee function has a jump discontinuity at : a trade of costs more in fees than a trade of , a discontinuous (and exploitable) jump in the schedule.
A trading fee schedule charges on trade sizes under dollars and on trade sizes at or above dollars. Model this as a piecewise function of trade size , and show it has a jump discontinuity at by computing both one-sided limits there.
08 · Chapter Summary
| Concept | Formula / Rule |
|---|---|
| Limit (informal) | as , |
| Limit (formal) | |
| One-sided limits | exists left limit = right limit |
| Limit laws | Sum, product, quotient limits combine from known limits |
| Indeterminate form | : substitution fails; factor or simplify first |
| Continuity at | defined, limit exists, and they're equal |
| Removable discontinuity | Limit exists but (or undefined) |
| Jump discontinuity | One-sided limits exist but disagree |
| Infinite discontinuity | One-sided limit(s) are ; vertical asymptote |
| IVT | Continuous on hits every value between and |
Next: Chapter 02 — Derivatives: Definition and Rules, where the limit machinery built here is used to define the instantaneous rate of change.