Continuity and Differentiability
"You can't differentiate a function that isn't continuous. But a continuous function isn't always differentiable."
1. Chapter Overview
This chapter formalises the concepts of CONTINUITY (a function is continuous at a point if limit = function value: lim(x→a) f(x) = f(a)) and DIFFERENTIABILITY (the derivative EXISTS at a point). It introduces POWERFUL differentiation techniques: chain rule, implicit differentiation, logarithmic differentiation, parametric forms, and second-order derivatives. Rolle's Theorem and the Mean Value Theorem provide the theoretical foundation.
2. Continuity
- A function f is CONTINUOUS at x = a if: lim(x→a⁻) f(x) = lim(x→a⁺) f(x) = f(a)
- 'You can draw the graph without lifting your pen.'
- Algebra of continuous functions: sum, difference, product, quotient (where denominator ≠ 0) of continuous functions are continuous.
- Every polynomial, trigonometric, exponential, and logarithmic function is continuous on its domain.
3. Differentiability
- f is DIFFERENTIABLE at x = a if the limit lim(h→0) [f(a+h) — f(a)]/h EXISTS (both left and right must be equal)
- Relationship: Differentiability ⇒ Continuity. BUT Continuity ⇏ Differentiability. 'Every differentiable function is continuous. But a continuous function may not be differentiable — e.g., |x| at x = 0 (the "corner").'
4. Differentiation Techniques
Chain Rule
If y = f(u) and u = g(x): dy/dx = (dy/du) × (du/dx). 'Differentiate the outer function, multiply by the derivative of the inner function.'
Implicit Differentiation
When the relationship between x and y is given IMPLICITLY (f(x,y) = 0): differentiate both sides w.r.t. x, treating y as a function of x. Solve for dy/dx.
Logarithmic Differentiation
Take LOG of both sides. Useful when: function is of the form [f(x)]ᵍ⁽ˣ⁾, product/quotient of many terms. Simplify first, then differentiate.
Parametric Forms
x = f(t), y = g(t). dy/dx = (dy/dt) / (dx/dt).
Second-Order Derivatives
d²y/dx² = d/dx (dy/dx). 'The derivative of the derivative.'
5. Rolle's Theorem and Mean Value Theorem (MVT)
Rolle's Theorem
If f is: (a) continuous on [a,b], (b) differentiable on (a,b), (c) f(a) = f(b) → there exists at least one c ∈ (a,b) such that f'(c) = 0. 'The derivative is zero somewhere between two points with equal function values.'
Mean Value Theorem (MVT)
If f is: (a) continuous on [a,b], (b) differentiable on (a,b) → there exists at least one c ∈ (a,b) such that f'(c) = [f(b) — f(a)]/(b — a). 'The instantaneous rate of change equals the average rate of change — somewhere.'
6. Exam Focus
- Continuity — definition. Algebra of continuous functions.
- Differentiability — definition. Continuity vs. differentiability.
- Chain rule. Implicit. Logarithmic. Parametric differentiation.
- Second-order derivatives.
- Rolle's Theorem and MVT — conditions and statement.
7. Conclusion
Continuity and differentiability are the FOUNDATIONS on which all of calculus rests:
- CONTINUITY: No sudden jumps. The graph holds together.
- DIFFERENTIABILITY: No sharp corners. The slope exists and is well-behaved.
- TECHNIQUES: Chain rule, implicit, logarithmic, parametric — powerful tools for any function.
- THEOREMS: Rolle's and MVT — 'somewhere between the start and the end, the derivative hits the average.'
'Calculus is the study of change. Continuity and differentiability are the conditions under which change can be analysed.'
