Navigation: Wiki Home > Skills > The Epsilon-Delta Definition of a Limit
You already know intuitively what $\lim_{x \to a} f(x) = L$ means: as $x$ gets closer to $a$, $f(x)$ gets closer to $L$. But "closer" is vague. How close is close enough? Can we guarantee that $f(x)$ stays within any desired distance of $L$?
The epsilon-delta definition answers this question with mathematical precision. It transforms "closer and closer" into a concrete promise: no matter how tight a tolerance you demand for the output, I can always find a corresponding tolerance for the input that makes it work.
This definition underlies everything in calculus—continuity, derivatives, and integrals all depend on it. Understanding it gives you the power to prove that limits exist rather than just guess from graphs.
| Property | Value |
|---|---|
| Course | MATH161 |
| Chapter.Section | 1.7 |
| Difficulty | Intermediate |
| Time | ~15 minutes |
Definition. We say $\lim_{x \to a} f(x) = L$ if and only if:
$$\forall\, \varepsilon > 0,\ \exists\, \delta > 0 \text{ such that } 0 < \vert x - a\vert < \delta \Rightarrow \vert f(x) - L\vert < \varepsilon$$
Let's unpack each part:
| Symbol | Meaning | Role |
|---|---|---|
| $\varepsilon > 0$ | Any positive tolerance for the output | How close $f(x)$ must be to $L$ |
| $\delta > 0$ | A positive tolerance for the input | How close $x$ must be to $a$ |
| $0 < \|x - a\|$ | $x \neq a$ (but close to $a$) | We don't care about $f(a)$ itself |
| $\|x - a\| < \delta$ | $x$ is within $\delta$ of $a$ | The input condition |
| $\|f(x) - L\| < \varepsilon$ | $f(x)$ is within $\varepsilon$ of $L$ | The output guarantee |
The key insight: For every $\varepsilon$ (no matter how small), there exists a $\delta$ that works. The challenger picks $\varepsilon$; you must find $\delta$.
The definition can be restated using intervals:
$$x \in (a - \delta, a + \delta) \setminus \{a\} \quad\Rightarrow\quad f(x) \in (L - \varepsilon, L + \varepsilon)$$
y
│
L+ε ├───────────────────────────────────── ← upper ε-bound
│ ████████
│ ███ ███
L ├─────────────█──────────────█──────── ← limit value
│ ██ ██
L-ε ├──────────█────────────────────█───── ← lower ε-bound
│ █ █
│ █ █
└────────┼──────────┼──────────┼──────→ x
a-δ a a+δ
◄────────────────────────►
δ-neighborhood of a
Reading the picture: Draw horizontal lines at $y = L + \varepsilon$ and $y = L - \varepsilon$. The definition guarantees you can find a vertical strip (the $\delta$-neighborhood) where the graph stays entirely between the horizontal lines.
The condition $0 < \vert x - a\vert $ means $x \neq a$. This is essential because:
The limit is entirely about what happens near $a$, not at $a$.
Write the epsilon-delta definition for $\lim_{x \to 3} f(x) = 7$ by filling in the specific values.
Convert the following statement to epsilon-delta notation:
"For the limit $\lim_{x \to 2} g(x) = 5$, when $x$ is within 0.1 of 2 (but not equal to 2), $g(x)$ is within 0.03 of 5."
A function $f$ has $\lim_{x \to 4} f(x) = 2$. On a graph:
Consider the function: $$h(x) = \begin{cases} x + 1 & \text{if } x \neq 2 \\ 100 & \text{if } x = 2 \end{cases}$$
The negation of the limit definition can be used to prove a limit does not exist.
Question 1: Which statement best describes what "$\lim_{x \to 5} f(x) = 12$" means?
(B) is correct. The epsilon-delta definition says that for any desired closeness to 12 (any $\varepsilon$), we can guarantee $f(x)$ achieves that closeness by making $x$ sufficiently close to 5 (choosing appropriate $\delta$).
(A) is wrong because $f(5)$ need not equal 12 (or even exist). (C) is wrong because $f(x)$ can equal 12 (the definition doesn't forbid this). (D) is wrong because we need $f(x)$ close to 12 for all $x$ near 5, not just at some point.
Question 2: If $\lim_{x \to a} f(x) = L$, and someone challenges you with $\varepsilon = 0.001$, what are you claiming you can do?
You claim you can find a $\delta > 0$ such that whenever $x$ is within $\delta$ of $a$ (but not equal to $a$), the value $f(x)$ will be within 0.001 of $L$.
The key point: no matter how small the challenger makes $\varepsilon$, you can always find a working $\delta$.
The Epsilon-Delta Game:
Think of epsilon-delta as a challenge-response game:
The smaller the challenger makes $\varepsilon$, the smaller you might need to make $\delta$—but you always have a winning response.
Looking back:
Looking ahead:
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|---|---|---|
| Limit Laws | Skills Index | Epsilon-Delta Proofs: Linear |
Last updated: 2026-01-22