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Continuity and Differentiability

Continuity and differentiability are the gatekeepers of calculus.

Feynman Lens

Start with the simplest version: this lesson is about Continuity and Differentiability. If you can explain the core idea to a friend using everyday language, examples, and one clear reason why it matters, you have moved from memorising to understanding.

Continuity and differentiability are the gatekeepers of calculus. A function is continuous if its graph has no breaks, jumps, or holes; a function is differentiable if we can draw a tangent line at every point—meaning the derivative exists everywhere. This chapter formalizes these intuitive ideas, introduces new classes of powerful functions (exponentials and logarithms), and explores the intricate relationship between continuity and differentiability. Understanding these concepts is essential for the applications of calculus in chapter-06-application-of-derivatives, chapter-07-integrals, and beyond.

Understanding Continuity

Intuitive Definition: A function f is continuous at point x = a if the graph has no break, jump, or hole at a—you could draw it without lifting your pencil.

Formal Definition: f is continuous at x = a if:

  1. f(a) is defined
  2. lim(x→a) f(x) exists
  3. lim(x→a) f(x) = f(a)

In other words, the limit as you approach a equals the function value at a.

Left and right continuity: If lim(x→a⁻) f(x) = f(a), f is left-continuous. If lim(x→a⁺) f(x) = f(a), f is right-continuous. A function is continuous at a if it's both left and right continuous.

Types of Discontinuities

Building from Class 11

In Class 11, you computed derivatives of polynomial and trigonometric functions using the limit definition. This chapter reveals that differentiability requires continuity first: if a function is differentiable at a point, it must be continuous there. The converse is false—continuous functions need not be differentiable (sharp corners, cusps).

Introducing New Functions: Exponential and Logarithmic

Exponential Functions

f(x) = aˣ (where a > 0, a ≠ 1) grows exponentially. The natural exponential f(x) = eˣ is special: its derivative equals itself!

Logarithmic Functions

f(x) = log_a(x) (where a > 0, a ≠ 1) is the inverse of aˣ. The natural logarithm f(x) = ln(x) is particularly important:

Relationship Between e and ln

The exponential and logarithmic functions are inverses:

Understanding Differentiability

Definition: f is differentiable at x = a if the derivative f'(a) = lim(h→0) [f(a+h) - f(a)]/h exists (as a finite number).

Geometric meaning: The function has a well-defined tangent line with slope f'(a) at point (a, f(a)). There are no sharp corners or cusps.

Theorem: If f is differentiable at a, then f is continuous at a. (Differentiability implies continuity, but not vice versa.)

Example of Continuity Without Differentiability

f(x) = |x| is continuous at x = 0 but not differentiable there:

Derivatives of New Functions

Using the chain rule and the derivatives of exponential/logarithmic functions:

Logarithmic differentiation is powerful for products and quotients: If y = (x+1)²(x-2)³, take ln(y) = 2ln(x+1) + 3ln(x-2), then differentiate to find y'.

Connections to Other Topics

Socratic Questions

  1. Consider the function f(x) = |x - 1|. Is it continuous at x = 1? Is it differentiable at x = 1? Why or why not? What does the graph look like at that point?
  1. Explain why every differentiable function must be continuous, but not every continuous function is differentiable. Can you sketch a function that is continuous but has a point where it's not differentiable?
  1. The derivative of eˣ is eˣ itself. Why is this property unique and so important? How does this compare to the derivatives of other exponential functions like 2ˣ?
  1. In logarithmic differentiation, we take ln(y) instead of differentiating y directly. Why is this technique useful for products and quotients? What advantage does it provide?
  1. If a function f is continuous on a closed interval [a, b] and differentiable on the open interval (a, b), what does the Mean Value Theorem guarantee about the derivative somewhere in (a, b)? Why is this powerful?

Term / Concept
Continuity at a point
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f is continuous at x = a iff lim(x→a) f(x) = f(a). Requires f(a) defined, limit exists, and they are equal.
Term / Concept
Differentiability ⇒ Continuity
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If f is differentiable at a, it is continuous at a. The converse is false: |x| is continuous but not differentiable at 0.
Term / Concept
Chain Rule
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d/dx[f(g(x))] = f′(g(x)) · g′(x). Differentiate the outer function at the inner, then multiply by the inner's derivative.
Term / Concept
Derivative of eˣ and ln x
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d/dx[eˣ] = eˣ; d/dx[ln x] = 1/x for x > 0. eˣ is the unique function equal to its own derivative.
Term / Concept
Derivative of aˣ
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d/dx[aˣ] = aˣ · ln a (for a > 0, a ≠ 1). Note: ln a, not 1/ln a.
Term / Concept
Logarithmic Differentiation
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For y = f(x)^g(x) or complicated products, take ln on both sides, then differentiate implicitly. Useful when the base and exponent both depend on x.
Term / Concept
Implicit Differentiation
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For F(x, y) = 0, differentiate term-by-term treating y = y(x) and using chain rule on y, then solve for dy/dx.
Term / Concept
Rolle's Theorem
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If f is continuous on [a, b], differentiable on (a, b), and f(a) = f(b), then ∃ c ∈ (a, b) with f′(c) = 0.
Term / Concept
Mean Value Theorem (MVT)
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If f is continuous on [a, b] and differentiable on (a, b), then ∃ c ∈ (a, b) with f′(c) = (f(b) − f(a))/(b − a).
Term / Concept
Second Derivative
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f″(x) = d/dx[f′(x)]. Measures rate of change of the slope; relates to concavity (positive ⇒ concave up).
Find d/dx[sin(x²)].
  • A cos(x²)
  • B 2x sin(x²)
  • C 2x cos(x²)
  • D cos(2x)
f(x) = |x| at x = 0 is:
  • A Continuous but not differentiable
  • B Differentiable but not continuous
  • C Both continuous and differentiable
  • D Neither continuous nor differentiable
If y = ln(x² + 1), then dy/dx equals:
  • A 1/(x² + 1)
  • B 2x/(x² + 1)
  • C 2x · ln(x² + 1)
  • D 1/(2x)
For f(x) = x³ − 3x on [−2, 2], by Rolle's theorem there exists c ∈ (−2, 2) with f′(c) = 0. Find c.
  • A 0 only
  • B 1 only
  • C ±2
  • D ±1
If y = e^(2x), then d²y/dx² equals:
  • A e^(2x)
  • B 2e^(2x)
  • C 4e^(2x)
  • D 2x · e^(2x)
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