Definition of Continuity

Meaning of continuity, the limit-based definition, and simple examples showing smooth behaviour of functions.

1. What Continuity Really Means

A function is said to be continuous at a point if its graph has no break, jump, or hole around that point. When moving along the curve near that point, everything feels smooth and connected.

In personal notes: continuity means the function behaves nicely without sudden surprises.

2. Limit-Based Definition

The formal idea of continuity comes from limits. A function is continuous at a point if the value it approaches from nearby matches the actual value at that point.

2.1. Definition Using Limits

f \text{ is continuous at } x = a \text{ if } \lim_{x \to a} f(x) = f(a).

This means the function's limit and its value match perfectly.

3. Three Conditions for Continuity at a Point

To confirm that a function is continuous at x = a, all three of these must be true:

3.1. 1. The function value exists

f(a) must be defined.

3.2. 2. The limit exists

\( \lim_{x \to a} f(x) \) must exist.

3.3. 3. The limit equals the value

The limit and the actual value at that point must be the same.

\lim_{x \to a} f(x) = f(a)

4. Graphical Understanding

On a graph, continuity at a point means you can draw the curve through that point without lifting your pencil. A tiny zoom around the point shows a smooth, unbroken curve.

5. Examples to Understand Continuity

These examples show how the definition works in simple situations.

5.1. Example 1 — A Continuous Function

Let:

f(x) = x^2

At any point a:

\lim_{x \to a} x^2 = a^2 = f(a)

So the function is continuous everywhere.

5.2. Example 2 — A Function with a Hole

Let:

f(x) = \frac{x^2 - 4}{x - 2}

This simplifies to x + 2 for x ≠ 2. But at x = 2, the original expression is undefined.

So f(2) does not exist, even though the limit as x → 2 is 4. The function is not continuous at x = 2 because the first condition fails.

6. Why This Definition Is Important

Continuity ensures smooth behaviour of functions. The limit-based definition becomes the foundation for defining derivatives and understanding more advanced ideas in calculus.