Techniques of differentiation
Learn one idea at a time
Choose a unit. Each has worked examples and practice.
Understand limits and derivatives
Connect limiting behaviour with the derivative from first principles.
Differentiate products and composites
Identify the outer and inner operations before choosing a rule.
Differentiate standard functions
Retain inner factors, radian assumptions and logarithm domains.
Differentiate implicit relations and variable powers
Keep the local branch and collect the derivative terms.
Use principal inverse-trigonometric ranges
Derive and apply inverse-trigonometric derivatives with their range conditions.
Evaluate a derivative at a point
Use the source calculator procedure after identifying the function and input.
By the end, you can
- Interpret a derivative as local rate of change
- Use product, quotient and chain rules
- Differentiate implicit relations without losing y dependence
6 focused units · about 25 minutes for the full chapter. Allow extra time for practice.
The central idea
The derivative is the limit of a difference quotient. The chain rule tracks nested dependence: . For implicit equations, y depends on x, so differentiating a y-term introduces . Limits describe approaching a point even when the value there is separately defined.
Limits and continuity
If f(x) approaches L as x approaches a, write . For , the limit as x approaches 2 is 4.
A limit can exist where the function is undefined. In radians, is undefined at zero but has limit 1 there; its graph has a missing point at . Continuity at a requires a defined value and . The notes’ classroom continuity assumption applies on the interval under consideration, not at excluded inputs.
Approach from both sides
For the source function , the two printed value lists approach from opposite sides:
| x from the left | f(x) | x from the right | f(x) |
|---|---|---|---|
| 1.0 | 2.000000 | 3.0 | 8.000000 |
| 1.5 | 2.750000 | 2.5 | 5.750000 |
| 1.8 | 3.440000 | 2.2 | 4.640000 |
| 1.9 | 3.710000 | 2.1 | 4.310000 |
| 1.95 | 3.852500 | 2.05 | 4.152500 |
| 1.99 | 3.970100 | 2.01 | 4.030100 |
| 1.995 | 3.985025 | 2.005 | 4.015025 |
| 1.999 | 3.997001 | 2.001 | 4.003001 |
Both lists approach 4. Limits underpin calculus, including tangent gradients. The derivative is itself a function: it maps an input x to the gradient of the original function’s tangent at that input, wherever that derivative exists.
A secant approaches a tangent
For and , the secant gradient is , for . If its limit exists as , that limit is the tangent gradient . The source uses instead of h and calls the tangent AB. Continuity alone does not guarantee a derivative; the finite limit must exist.
The source’s page 5 QR code points to an exploration of the limiting process. This preserves the original resource pointer; the external activity is not claimed as reviewed. Appendix Examples A–C on PDF 17–20 are included below with their first-principles working and calculator-limit qualifications.
Worked example
For , . For , implicit differentiation gives , hence where y is nonzero.
Treating y as a constant in an implicit equation gives the wrong tangent gradient.
Check your understanding
Differentiate .
by the chain rule.
Practice questions
45 examples and practice questions, in 8 sections.
More practice
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