Unit 3: Differentiation — Composite, Implicit & Inverse Functions
Implicit Differentiation
Differentiating implicitly defined relations and inverse functions.
Prerequisites
- The Chain Rule
Differentiating Without Solving for y — Including Inverses
Definition — Implicit Differentiation
Worked Example — Differentiating a Circle Implicitly
The same idea applies to a function's inverse. Differentiating f(f⁻¹(x)) = x with the chain rule gives f'(f⁻¹(x)) · (f⁻¹)'(x) = 1, so (f⁻¹)'(x) = 1/f'(f⁻¹(x)) — the reciprocal of f' evaluated at f⁻¹(x), not at x itself.
Worked Example — An Inverse Derivative Without Solving for the Inverse
The same implicit approach derives the inverse trig derivatives: for y = arctan(x), tan(y) = x, so sec²(y)(dy/dx) = 1, and since sec²y = 1 + tan²y = 1 + x², dy/dx = 1/(1 + x²). The analogous approach on sin(y) = x gives arcsin's derivative, 1/√(1 − x²).
Tip
Common Mistakes
Forgetting the chain rule's dy/dx factor when differentiating a y-term, like treating d/dx[y²] as just 2y.
y depends on x, so d/dx[y²] = 2y · (dy/dx) — the same chain rule already used for composite functions of x alone.
Key Takeaways
- Implicit differentiation applies the chain rule to every y-term, producing a dy/dx factor each time.
- (f⁻¹)'(x) = 1/f'(f⁻¹(x)) follows from differentiating f(f⁻¹(x)) = x.
- arctan's and arcsin's derivatives both come from implicitly differentiating their defining equations.
Summary
This closes Unit 3. Unit 4 puts differentiation to work in applied contexts, starting with quantities changing together over time.
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