Master the chain rule for composite functions, learn to differentiate inverse functions, implicit equations, parametric curves, and explore higher-order derivatives.
The chain rule is one of the most important rules in calculus. It tells us how to differentiate composite functions—functions built by putting one function inside another.
Let be differentiable at , and be differentiable at with . Then the composite function is differentiable at , and:
In Leibniz notation:
We compute the difference quotient:
When , we can write:
As : the first factor → , the second → .
Find the derivative of .
Let , so .
Find .
Apply chain rule twice:
The chain rule can be expressed in several equivalent ways:
Leibniz Notation
Prime Notation
Operator Notation
Differential Notation
Problem: Differentiate .
Solution:
Let , so .
Problem: Differentiate for .
Solution:
Note: We need , which holds for .
Problem: Differentiate .
Solution:
Write as .
For a composition of three or more functions :
In Leibniz notation with , , :
Problem: Find .
Solution:
Let , , .
Memorize these common patterns to speed up differentiation:
| Function | Derivative |
|---|---|
Problem: Differentiate .
Solution:
Use quotient rule combined with chain rule:
The derivative of requires chain rule:
Substituting:
Problem: Differentiate .
Solution:
Let , so .
Problem: Differentiate .
Solution:
Write as . Apply chain rule:
You need the chain rule when you see:
Problem: Differentiate .
Solution:
Recall .
Problem: If and depends on time, find .
Solution:
Apply chain rule treating as :
This is the foundation for solving related rates problems in applications.
If is differentiable and strictly monotonic on an interval, and , then is differentiable at with:
Derive the formula for .
Let , so with .
We use on .
Let and suppose .
Let , so . As , we have :
Problem: Find .
Solution:
Let , so with .
We use on .
Note: , confirming .
Problem: Find .
Solution:
Let , so with .
Using :
Problem: Differentiate .
Solution:
Using chain rule with :
Problem: If , find .
Solution:
First find such that .
gives (by inspection).
Since , we have .
When is defined implicitly by an equation , we differentiate both sides with respect to , treating as a function of .
Find for the circle .
Differentiating implicitly:
For , find .
First derivative: , so
Second derivative (differentiating again):
Problem: Find if .
Solution:
Differentiating implicitly:
Solving for :
Problem: Find if .
Solution:
Differentiating using chain rule on left side:
Solving for :
Problem: Find the equation of the tangent line to at .
Solution:
Verify point: ✓
Differentiating implicitly:
At :
Tangent line: , i.e., .
For functions of the form or products of many factors, use logarithmic differentiation:
Problem: Differentiate for .
Solution:
Take ln of both sides:
Differentiate implicitly:
Multiply by :
For a curve given by :
For the second derivative:
For the cycloid , find .
For the second derivative, differentiate and divide by :
Since is a function of and is implicitly a function of :
Using (inverse function derivative):
For the second derivative:
Problem: For the ellipse , find and .
Solution:
For the second derivative:
Problem: For , find the tangent line at .
Solution:
At : , .
At : slope = .
Tangent line: , i.e., .
For a curve in polar coordinates , we can convert to parametric form:
Then apply parametric derivative formulas:
Problem: For the cardioid , find at .
Solution:
We have , .
At : , , , .
The nth derivative of is defined recursively:
Notation: or
For the nth derivative of a product:
This generalizes the product rule to arbitrary order.
Find .
By induction on :
Base case: is the product rule: .
Inductive step: Assume true for :
Reindexing and using :
Problem: Find .
Solution:
Using Leibniz formula with , :
For :
Problem: Find .
Solution:
Using Leibniz formula with , :
Using :
| Function | nth Derivative |
|---|---|
| for | |
| () | |
Problem: Find .
Solution:
Write as and differentiate:
Pattern:
The nth differential of is defined as:
Note: This defines , , etc.
Higher derivatives have important physical meanings:
Position:
Describes where an object is at time
Velocity:
Rate of change of position
Acceleration:
Rate of change of velocity
Jerk:
Rate of change of acceleration
Connection: The curvature of a curve involves the second derivative:
Curvature measures how sharply a curve bends. It uses both first and second derivatives!
We classify functions by their differentiability:
Example: Show is but not at .
Solution:
For :
At : and is continuous.
But jumps from to at .
Conclusion: but at .
Many functions have elegant closed-form nth derivatives:
Polynomial :
Shifted power :
Partial fractions:
This module covered essential techniques for differentiating complex functions:
The chain rule allows us to differentiate composite functions, which appear everywhere in applications. Without it, we couldn't differentiate functions like sin(x²), e^(cos x), or ln(1+x²).
Use implicit differentiation when y is not explicitly given as a function of x, such as in equations like x² + y² = 1 or xy + sin(y) = x.
The formula dy/dx = (dy/dt)/(dx/dt) comes from the chain rule: dy/dx = (dy/dt)·(dt/dx) = (dy/dt)/(dx/dt).
No! d²y/dx² is the second derivative (derivative of the derivative), while (dy/dx)² is the square of the first derivative. These are different quantities.
The outer function is applied last. In f(g(x)), f is outer, g is inner. Example: sin(x²) has outer=sin, inner=x². Think about order of operations.
Use it for: (1) y = f(x)^g(x) where both base and exponent contain x, (2) products of many terms, (3) complicated quotients. It converts products to sums.
First find dy/dx = (dy/dt)/(dx/dt). Then d²y/dx² = (d/dt)(dy/dx) ÷ (dx/dt). Don't just differentiate dy/dx directly with respect to t!
Each differentiation brings down a factor of a: (e^(ax))^(n) = a^n · e^(ax). This is because d/dx(e^(ax)) = a·e^(ax).
It's like the binomial theorem: (f·g)^(n) = Σ C(n,k) f^(k) g^(n-k). The binomial coefficients distribute the n derivatives between f and g.
Apply chain rule as usual. Example: d/dx[arctan(2x)] = 1/(1+(2x)²) · 2 = 2/(1+4x²). The inner function derivative multiplies.
Treat y as y(x), apply chain rule
Take ln, differentiate, multiply by y
Work from outside in. Identify the outermost function first, differentiate it, then multiply by the derivative of the inner function.
Always remember to write dy/dx whenever you differentiate a term containing y. Then solve for dy/dx algebraically.
For second derivatives, don't forget to divide by dx/dt again. Common mistake: differentiating dy/dx with respect to t only.
Look for patterns! Many functions have predictable nth derivative formulas. Memorize key patterns for exponentials, trig, and powers.
In the next module, you will learn about the Mean Value Theorems, fundamental results that connect derivatives to function behavior.