B. Maths Business Mathematics

Business MathematicsUnit 89 min read

Derivatives: Rules, Graphs, and Business Applications

Unit 8 of Business Mathematics teaches how to find derivatives using first principles, rules, and applications in business—with step-by-step examples, graphs, and NEB-style questions to master the topic.

TAKEAWAYS:

  • Derivatives measure how fast a function’s output changes with respect to its input (slope of a tangent line).
  • First principles (limit definition) and shortcut rules (power, product, quotient, chain) help compute derivatives quickly.
  • Graphical interpretation: A derivative tells you if a function is increasing/decreasing, concave up/down, or has maxima/minima.
  • Business uses: Derivatives model profit maximization, cost minimization, and revenue optimization.
  • Exam focus: Know how to apply rules to real-world functions (e.g., cost, revenue, profit) and interpret results.

1. What is a Derivative?

A derivative tells us how fast a quantity changes at any point. For example:

  • If represents a company’s profit over time, tells you how fast profit is increasing or decreasing right now.
-3-2-1123-6-4-2246810xyf(x) = x² (Profit function)f'(x) = 2x (Marginal profit)Point A (0,0): f'(0)=0 (horizontal tangent)Point B (1,2): f'(1)=2 (slope=2)Point C (-1,2): f'(-1)=-2 (slope=-2)
Graph showing how f'(x) represents the slope of f(x) at every point (business: profit vs. marginal profit)

Key Idea: The Limit Definition (First Principles)

The derivative of at is: This is the slope of the tangent line at .

11.21.41.61.822.22.42.62.8322.533.544.555.56f(x) = (x²−4)/(x−2)f'(x) = 2x (limit as h→0)Point of discontinuity (hole at x=2)Slope at x=2.5: f'(2.5)=5
First principles: Finding derivative of f(x) = x² at x=2 using limit definition

Example 1: Find for using first principles. Solution: Answer: .


2. Basic Rules of Differentiation

Instead of using first principles every time, we use shortcut rules:

Rule Formula Example
Power Rule
Constant Rule
Constant Multiple
Sum/Difference

Example 2: Differentiate . Solution: Answer: .


3. Product, Quotient, and Chain Rules

For more complex functions, we use:

0.511.522.533.54-15-10-55xyf(x) = x² sin(x)f'(x) = 2x sin(x) + x² cos(x)
Graph of f(x) = x² sin(x) and its derivative f'(x) from Example 3 (Product Rule).

Product Rule

If , then:

Example 3: Differentiate . Solution: Let , . Answer: .

Quotient Rule

If , then:

Example 4: Differentiate . Solution: Let , . Answer: .

Chain Rule

If , then:

Example 5: Differentiate . Solution: Let , . Answer: .


4. Graphical Interpretation of Derivatives

The derivative tells us:

  • Sign of :
    • : Function is increasing.
    • : Function is decreasing.
  • Critical Points: Where or is undefined (possible maxima/minima).
  • Concavity:
    • : Concave up (like a cup ).
    • : Concave down (like a cap ).
-1-0.50.511.522.533.54-5510152025xyf(x) = x³ − 3x² (Profit function)f'(x) = 3x² − 6x (Marginal profit)Critical Point (0,0): f'(0)=0Critical Point (2,-4): f'(2)=0Inflection Point (1,-2): f''(1)=0
Profit function with critical points (max/min) and inflection point (concavity change)

Example 6: Analyze .

  1. Find :
  2. Find critical points:
  3. Determine increasing/decreasing:
    • For : (increasing).
    • For : (decreasing).
    • For : (increasing).
  4. Concavity (find ):
    • when (concave up).
    • when (concave down).

5. Applications in Business

Derivatives help solve real-world problems like:

  1. Profit Maximization: Find where .
  2. Cost Minimization: Find where .
  3. Revenue Optimization: Find where .
0312.5625937.51250x=10800x=201100x=251250x=301100Profit (NPR)
Profit at different production levels (x=25 maximizes profit)
5101520253035404550-1000-5005001000xyP(x) = −2x² + 100x − 1000 (Profit)P'(x) = −4x + 100 (Marginal Profit)Max Profit at x = 25
Profit function P(x) and its derivative P'(x) from Example 7, showing maximum profit at x = 25 units.

Example 7: A company’s profit function is . Find the production level that maximizes profit. Solution:

  1. Find :
  2. Set :
  3. Verify it’s a maximum (second derivative test): Answer: Produce 25 units for maximum profit.

6. Higher-Order Derivatives

The second derivative tells us about concavity and inflection points.

  • If : Concave up.
  • If : Concave down.
  • If : Possible inflection point.

Example 8: Find for . Solution:

  1. First derivative:
  2. Second derivative: Answer: .

Exam Tip

  1. Memorize the rules: Power, product, quotient, and chain rules are must-know.
  2. Practice first principles: NEB often tests this for simple functions.
  3. Graph interpretation: Always sketch the function and its derivative to understand behavior.
  4. Business applications: Know how to find maxima/minima for profit, cost, and revenue functions.
  5. Second derivative test: Use it to confirm maxima/minima in optimization problems.

NEB-Style Questions

Short Answer:

  1. Find the derivative of using the power rule.
  2. Differentiate using the quotient rule.
  3. If , find using the chain rule.

Long Answer: 4. A company’s cost function is . Find the production level that minimizes cost. 5. Given , find:

  • All critical points.
  • Intervals where is increasing/decreasing.
  • Concavity and inflection points.

Graphical Question: 6. Sketch the graph of and its derivative . Label:

  • Where is increasing/decreasing.
  • The critical point and its nature (max/min).

Note: Always show every step in your exam answers. Partial credit is given for correct intermediate steps!

Based on the NEB +2 Management syllabus for Business Mathematics (B. Maths), unit 8.

Discussion

Loading…