Business Mathematics IUnit 28 min read
Algebraic Functions & Equations: Types, Graphs & Business Uses
Unit 2 of Business Mathematics I covers algebraic functions (polynomial, rational, exponential, logarithmic), their graphs, solving linear/quadratic equations, and applications in demand-supply, cost-revenue, and optimization problems—essential for TU/PU exams and real-world business modeling.
TAKEAWAYS:
- Functions map inputs to outputs: linear (), quadratic (), and exponential () have distinct graphs and business uses (e.g., depreciation, growth).
- Equations solve for unknowns: linear (), quadratic (), and simultaneous equations model equilibrium points in markets (e.g., ).
- Graphs visualize relationships: demand curves slope downward, supply curves upward; intersections show market-clearing prices.
- Applications include profit maximization (marginal revenue = marginal cost), loan amortization (arithmetic sequences), and production functions (Cobb-Douglas).
- Exam focus: Solve equations, sketch graphs, and interpret real-world scenarios (e.g., "If Daraz’s revenue is , find the quantity that maximizes profit").
- Common pitfalls: Misidentifying function types (e.g., confusing with ), incorrect domain/range, and algebraic errors in solving.
1. Algebraic Functions: Types and Graphs
Functions describe relationships between variables. In business, they model costs, revenues, demands, and supplies.
1.1 Linear Functions
Definition: , where is the slope and is the y-intercept. Graph: Straight line with slope . Business Use:
- Cost functions: (fixed + variable costs).
- Revenue functions: (price × quantity).
- Break-even analysis: → .
Worked Example 1: Demand Function Daraz’s demand for a product is . Sketch the graph and find the quantity demanded when . Solution:
- When , .
- Graph: Line from to , passing through .
1.2 Quadratic Functions
Definition: (parabola). Graph: U-shaped (if ) or inverted (if ). Business Use:
- Profit functions: .
- Optimization: Vertex gives max/min (e.g., max profit).
Worked Example 2: Profit Maximization Pathao’s profit function is . Find the quantity that maximizes profit. Solution:
- Vertex formula: .
- Max profit: .
1.3 Rational and Exponential Functions
| Type | Form | Graph | Business Use |
|---|---|---|---|
| Rational | Vertical asymptotes at | Cost per unit: | |
| Exponential | Growth/decay curves | Depreciation: |
Worked Example 3: Depreciation (Exponential) Ncell’s equipment depreciates at 10% annually. If initial value is Rs 500,000, find its value after 3 years. Solution:
- Formula: .
- After 3 years: .
2. Solving Equations
Equations solve for unknowns in business scenarios.
2.1 Linear Equations
Method: Isolate . Example: Solve . Solution: .
2.2 Quadratic Equations
Methods:
- Factoring: → → .
- Quadratic formula: .
- Completing the square: .
Worked Example 4: Break-Even Quantity eSewa’s cost is and revenue . Find break-even quantities. Solution:
- Set : → → .
2.3 Simultaneous Equations
Method: Substitution or elimination. Example: Solve and (market equilibrium).
Solution:
- Equate : .
- Solve for , then .
3. Applications in Business
3.1 Demand and Supply Functions
- Demand: (downward slope).
- Supply: (upward slope).
- Equilibrium: → solve for and .
Worked Example 5: NTC’s Tariff Adjustment NTC’s demand and supply for electricity are and . Find equilibrium price and quantity. Solution:
- Set : → → .
- .
3.2 Profit Maximization
Rule: Set Marginal Revenue (MR) = Marginal Cost (MC). Example: If and , find optimal . Solution:
- → → .
4. Common Mistakes and How to Avoid Them
| Mistake | Correct Approach |
|---|---|
| Misidentifying function type | Check for exponents (linear vs. quadratic). |
| Incorrect graph scaling | Label axes clearly (e.g., vs. ). |
| Algebraic errors | Double-check each step (e.g., → ). |
| Ignoring units | Always include units (e.g., Rs, units). |
## In the Real World
Khalti’s Transaction Fees
- Idea: Linear function for fee calculation.
- How: Fee = → .
- Graph: Straight line through origin with slope .
Daraz’s Order Fulfillment Queue
- Idea: Rational function for processing time.
- How: Time per order = (more orders → faster per-unit processing).
- Example: If Daraz processes 500 orders/day, time per order = hours.
NEPSE Stock Prices
- Idea: Exponential growth/decay for stock trends.
- How: (e.g., a stock growing at 5% annually).
- Example: If a stock starts at Rs 1000 and grows at 5%, after 2 years: .
## Exam Tip
- Graphs: Always label axes, plot key points, and shade regions (e.g., profit > 0).
- Equations: Show all steps—examiners deduct for skipped algebra.
- Business Context: Relate answers to real scenarios (e.g., "This equilibrium price ensures no surplus/shortage").
- Units: Include units in final answers (e.g., "Rs 500 per unit").
- Common Questions:
- Sketch graphs for demand/supply.
- Solve for equilibrium in markets.
- Find max/min using calculus (vertex formula or derivatives).
- Past Exam Patterns:
- 30%: Solving equations (linear/quadratic).
- 40%: Graph interpretation (equilibrium, optimization).
- 30%: Real-world applications (profit, cost, demand).
Visual Summary:
mindmap
root((Algebraic Functions & Equations))
Types
Linear
Quadratic
Rational
Exponential
Graphs
Demand (↓ slope)
Supply (↑ slope)
Profit (↑ then ↓)
Applications
Break-even
Optimization
Market Equilibrium
Exam Focus
Solve & Graph
Interpret Business ScenariosBased on the TU BBA syllabus for Business Mathematics I (MTH202), unit 2.
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