BCA TU, Math II – Unit 3: Application of Differentiation

Differentiation is not just about finding derivatives—it is about applying them to analyze curves, optimize values, and solve real-world problems. This unit focuses on slope, monotonicity, maxima–minima, marginal analysis, and graph sketching.


1. Derivatives and Slope of a Curve

The derivative of a function at a point gives the slope of the tangent line at that point:

m = f'(x)

  • If f'(x) > 0 → slope is positive → curve rises
  • If f'(x) < 0 → slope is negative → curve falls

Example:
For y = x^2,

f'(x) = 2x

  • At x=1, slope = 2 → rising
  • At x=-1, slope = -2 → falling

2. Increasing and Decreasing Functions

  • Increasing Function: f'(x) > 0
  • Decreasing Function: f'(x) < 0

Example:
For f(x) = x^3,
f'(x) = 3x^2 \ge 0
So, the function is always increasing (never decreases).


3. Convexity and Concavity of Curves

The second derivative determines the shape of curves:

  • If f''(x) > 0, curve is convex (concave upward)
  • If f''(x) < 0, curve is concave (concave downward)

Point of Inflexion: Where f''(x) = 0, the curve changes from convex to concave or vice versa.


4. Maximization and Minimization

Extreme values occur at critical points where f'(x) = 0:

  • If f''(x) > 0, point is minimum
  • If f''(x) < 0, point is maximum

Example:

f(x) = x^2 - 4x + 3

f'(x) = 2x - 4 \Rightarrow f'(x) = 0 \text{ at } x=2

f''(x) = 2 > 0 \Rightarrow \text{Minimum at } x=2


5. Differentiation and Marginal Analysis

In economics and business, derivatives are applied in marginal analysis:

  • Marginal Cost (MC): MC = \frac{dC}{dq} (rate of change of cost with respect to output)
  • Marginal Revenue (MR): MR = \frac{dR}{dq}
  • Marginal Profit (MP): MP = MR - MC

Example:
If C(q) = 2q^2 + 3q, then

MC = \frac{dC}{dq} = 4q + 3


6. Price and Output (Competitive Equilibrium)

In competitive markets, equilibrium is reached when:

MR = MC

This condition determines the optimal price and quantity for maximum profit.


7. Curve Sketching Using First and Second Derivatives

Steps to sketch an algebraic function:

  1. Find domain of the function
  2. Compute first derivative → find increasing/decreasing intervals
  3. Compute second derivative → determine concavity
  4. Locate critical points where f'(x) = 0
  5. Find maxima, minima, and inflexion points
  6. Plot key points and sketch the curve

Example:
For f(x) = x^3 - 3x

f'(x) = 3x^2 - 3 \Rightarrow \text{critical points: } x = \pm 1

f''(x) = 6x

At x = 1, f''(1) = 6 > 0 \Rightarrow \text{local minimum}

At x = -1, f''(-1) = -6 < 0 \Rightarrow \text{local maximum}


Key Takeaways

  • Derivatives give the slope of the tangent and indicate the increasing/decreasing nature of functions.
  • First derivative test: finds where a function rises or falls.
  • Second derivative test: determines maxima, minima, and concavity.
  • Applications in business and economics: marginal cost, revenue, and profit.
  • Competitive equilibrium: occurs when MR = MC.
  • Curve sketching requires analysis of both first and second derivatives.

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