Continuity at a Point

Meaning of continuity at a point using limits, the three required conditions, and simple examples.

1. What Continuity at a Point Means

A function is said to be continuous at a point if its value at that point matches the value it approaches from nearby. In simple notes: the function behaves smoothly around that point without any jump, hole, or sudden change.

2. The Three Conditions for Continuity at x = a

To confirm continuity at a specific point, all three conditions below must be satisfied.

2.1. 1. The Function Value Exists

f(a) must be defined. If the function does not have a value at x = a, continuity fails immediately.

2.2. 2. The Limit Exists

The limit as x approaches a must exist — meaning the left-hand and right-hand limits match.

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

2.3. 3. The Limit Equals the Function Value

This is the most important condition:

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

The ‘approach value’ and the actual value must be the same.

3. Graphical Understanding

On a graph, the function is continuous at x = a if the curve passes smoothly through the point (a, f(a)). No holes, no jumps — just a clean, unbroken path.

4. Example of a Continuous Function at a Point

Consider:

f(x) = x^2

4.1. Check at x = 3

1. f(3) exists → f(3) = 9
2. Limit exists → \( \lim_{x \to 3} x^2 = 9 \)
3. Limit equals value → 9 = 9

So f(x) is continuous at x = 3.

5. Example of a Function Not Continuous at a Point

Let:

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

This simplifies to x + 2 for all x ≠ 2.

5.1. Check at x = 2

1. f(2) does not exist (division by 0)
2. Limit exists → \( \lim_{x \to 2} f(x) = 4 \)
3. Since f(2) doesn't exist, continuity fails.

The graph has a hole at x = 2 → removable discontinuity.

6. Left-Hand and Right-Hand View

For continuity at x = a, both sides must behave consistently:

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

If either one-sided limit differs, the point is discontinuous.

7. Why Continuity at a Point Matters

Understanding continuity at a point helps in analysing smooth behaviour of functions, especially before studying derivatives. It forms the base for understanding more advanced ideas in calculus.