Limits & Continuity

The concept that makes calculus possible — understanding what happens as we approach, not just arrive.

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The Intuition Behind Limits

A limit describes the value that a function approaches as its input approaches a particular value. We don't care what happens at the point — only what happens near it.

lim (x→c) f(x) = L
"As x gets closer and closer to c, f(x) gets closer and closer to L"

Example: lim (x→2) (x² − 4)/(x − 2)

Direct substitution gives 0/0 (indeterminate!)

Factor: (x−2)(x+2)/(x−2) = x + 2 (for x ≠ 2)

lim (x→2) (x + 2) = 4

The function isn't defined at x = 2, but the limit exists. This is the key insight of calculus.

Computing Limits

1. Direct Substitution

If f is continuous at c (no holes, jumps, or asymptotes), then lim(x→c) f(x) = f(c). All polynomials are continuous everywhere, so you can always plug in directly.

2. Algebraic Simplification

Factor, cancel, rationalize — use factoring techniques to eliminate the 0/0 form.

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3. L'Hôpital's Rule (Preview)

If lim f(x)/g(x) gives 0/0 or ∞/∞, then lim f(x)/g(x) = lim f'(x)/g'(x). This requires derivatives, covered in the next lesson.

4. Squeeze Theorem

If g(x) ≤ f(x) ≤ h(x) near c, and lim g(x) = lim h(x) = L, then lim f(x) = L.

Famous Example: lim (x→0) sin(x)/x = 1

This cannot be proved by algebra alone — it requires the Squeeze Theorem with geometric arguments from the unit circle. This limit is the foundation of all of trigonometric calculus.

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One-Sided Limits

Sometimes the limit depends on which direction you approach from:

lim (x→c⁺) f(x) = limit from the right
lim (x→c⁻) f(x) = limit from the left

The two-sided limit exists only if both one-sided limits exist and are equal. One-sided limits are essential for understanding piecewise functions and step functions in probability.

Limits at Infinity

What happens to f(x) as x → ∞? This determines the end behavior of functions and the existence of horizontal asymptotes.

Key results:
lim (x→∞) 1/xⁿ = 0   (for n > 0)
lim (x→∞) eˣ = ∞
lim (x→∞) e⁻ˣ = 0
lim (x→∞) ln(x) = ∞ (but grows slower than any positive power of x)

For rational functions P(x)/Q(x), compare the degrees of P and Q — a technique from polynomial analysis. This idea extends to improper integrals and probability distributions.

Continuity

A function f is continuous at x = c if three conditions hold:

  1. f(c) is defined
  2. lim (x→c) f(x) exists
  3. lim (x→c) f(x) = f(c)
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The Intermediate Value Theorem (IVT)

If f is continuous on [a, b] and N is between f(a) and f(b), then there exists some c in (a, b) where f(c) = N. This guarantees that equations have solutions and is used in numerical methods for differential equations.

Continuity connects deeply to topology in geometry. A continuous function is one that "preserves nearness" — nearby inputs map to nearby outputs. This intuition leads to coordinate geometry and abstract topology.

The Epsilon-Delta Definition (Advanced)

The rigorous definition of a limit, formalized by Weierstrass in the 19th century:

lim (x→c) f(x) = L means:
For every ε > 0, there exists δ > 0 such that
if 0 < |x − c| < δ, then |f(x) − L| < ε

In plain English: no matter how small a tolerance ε you demand for the output, I can find a tolerance δ for the input that guarantees the output is within ε of L.

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This definition doesn't use the word "approach" — it's purely about inequalities and existence of numbers. This level of rigor resolved centuries of confusion about infinitesimals and made calculus logically watertight. It's a beautiful example of how number theory and analysis interact with calculus.
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