Class 12 Maths Application of Derivatives Notes

6.1 Introduction

The derivative of a function gives the rate at which a quantity changes. Beyond slopes of curves, derivatives are used to:

  • Study real-life changes in quantities like velocity, population, or cost
  • Identify where functions increase or decrease
  • Find maximum or minimum values in practical problems

This chapter focuses on applications of derivatives in various scenarios.


6.2 Rate of Change of Quantities

  • The derivative dydx\frac{dy}{dx}dxdy​ gives the instantaneous rate of change of yyy with respect to xxx.
  • Examples:
    • Velocity is the rate of change of displacement: v=dxdtv = \frac{dx}{dt}v=dtdx​
    • Marginal cost is the rate of change of total cost with respect to quantity: MC=dCdqMC = \frac{dC}{dq}MC=dqdC​

Derivatives are a mathematical tool to measure change.


6.3 Increasing and Decreasing Functions

  • Increasing Function: f(x)>0f'(x) > 0f′(x)>0 → the function rises as x increases
  • Decreasing Function: f(x)<0f'(x) < 0f′(x)<0 → the function falls as x increases

Critical points occur where f(x)=0f'(x) = 0f′(x)=0. These points are used to determine maxima, minima, or points of inflection.


6.4 Maxima and Minima

🔹 Local Maximum and Minimum

  • Local Maximum: f(x)f(x)f(x) is larger than values nearby
  • Local Minimum: f(x)f(x)f(x) is smaller than values nearby

🔹 Steps to Find Maxima/Minima

  1. Find the derivative f(x)f'(x)f′(x)
  2. Solve f(x)=0f'(x) = 0f′(x)=0 → critical points
  3. Use second derivative test:
    • f(x)>0f”(x) > 0f′′(x)>0 → Local Minimum
    • f(x)<0f”(x) < 0f′′(x)<0 → Local Maximum
  4. Alternatively, use the first derivative test by checking sign changes of f(x)f'(x)f′(x)

🔹 Real-Life Applications

  • Economics: Maximize profit, minimize cost
  • Physics: Max height of a projectile
  • Engineering: Optimize dimensions for efficiency

✅ Key Points to Remember

  • Derivatives measure rate of change
  • f'(x) > 0 → increasing, f'(x) < 0 → decreasing
  • Critical points (f(x)=0f'(x) = 0f′(x)=0) help find maxima or minima
  • Second derivative test is a reliable method for optimization problems