Chapter 6: Application of Derivatives
A derivative is more than a slope , it is a measure of instantaneous rate of change. In this chapter the derivative becomes a tool for solving practical problems: finding the steepest slope of a hill, the fastest growth rate of an investment, the dimensions of a box that uses the least material. We will translate each problem into a function , differentiate, and use the sign or vanishing of to extract the desired information.
The chapter has three branches. The rate-of-change branch uses derivatives directly: if depends on and depends on time, then . The tangents/normals branch reads geometric information from . The optimisation branch , the heaviest in board examinations , finds extrema by setting and classifying the critical points using .
For JEE, the same techniques become subtler. Problems often involve a parameter, asking for ranges where a function is increasing, or for the largest possible value of a complicated expression. The first-derivative test and the second-derivative test become indispensable. So does sign analysis: drawing a number line, marking the critical points, and checking the sign of in each interval.
Approximation by differentials , using , is a small but useful section. It allows quick estimates of square roots and trigonometric values without a calculator, and previews the deeper Taylor's theorem from higher mathematics.
The chapter has practical importance beyond examinations. Physics, economics, biology , every quantitative science uses optimisation. The derivative is the universal tool.
What's inside
- Rate of change , derivatives as rates.
- Increasing and decreasing functions , monotonicity test.
- Tangents and normals , line equations from the derivative.
- Approximation , using differentials.
- Maxima and minima , first and second derivative tests.
- Applied optimisation , modelling real problems.
Key results / Formula card
| Concept | Formula |
|---|---|
| Rate of change | |
| Increasing on | on (strict if ) |
| Decreasing on | on |
| Tangent slope at | |
| Normal slope | |
| Tangent equation | |
| Approximation | |
| Critical point | or undefined |
| 1st derivative test | sign change of at |
| 2nd derivative test | ⇒ min, ⇒ max |
How to read this chapter
Master the first-derivative test, then the second. Practise translating word problems into functions of a single variable. The optimisation section repays repeated practice , most board questions on this chapter are optimisation problems in disguise.