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Mathematics is a core subject in the Bachelor of Business Economics (BBE) curriculum. A strong understanding of functions and their properties forms the foundation for economics, statistics, finance, and business analytics. Unit 1, Chapter 3 of BBE Mathematics introduces students to polynomial functions, power functions, exponential functions, quadratic functions, and the remainder theorem—all essential tools for analyzing quantitative relationships in business and economics.
This comprehensive 1200-word guide explains each topic in a clear, exam-oriented way, helping students revise effectively and strengthen conceptual understanding.
Polynomial functions are fundamental to understanding relationships between variables. They are used in economics to model revenue, cost, and profit functions.
A polynomial function is a function of the form:
P(x) = a₀ + a₁x + a₂x² + ... + anxⁿ
Where:
a₀, a₁, …, an are constants (coefficients)
n is a non-negative integer, known as the degree of the polynomial
Linear Polynomial – Degree 1 → P(x) = ax + b
Quadratic Polynomial – Degree 2 → P(x) = ax² + bx + c
Cubic Polynomial – Degree 3 → P(x) = ax³ + bx² + cx + d
Quartic & Higher Degree Polynomials → Degree ≥ 4
Degree determines the shape of the graph
Leading coefficient affects the end behaviour of the graph
Polynomials are continuous and differentiable
Cost functions: C(x) = ax² + bx + c
Revenue functions: R(x) = px – qx²
Profit functions: π(x) = R(x) – C(x)
A quadratic function is a specific type of polynomial function of degree 2.
f(x) = ax² + bx + c, a ≠ 0
Vertex: Turning point of the parabola
Axis of symmetry: x = –b / 2a
Direction: Opens upwards if a > 0; downwards if a < 0
Roots/Zeros: Solve ax² + bx + c = 0 using factorization, completing square, or quadratic formula
Parabolic curve
Minimum or maximum at the vertex
Intercepts with x-axis (real roots) and y-axis (constant term c)
Maximizing profit or utility functions
Cost and revenue analysis with quadratic behaviour
Modeling diminishing returns
Power functions are widely used to model growth, elasticity, and scale effects.
A power function is a function of the form:
f(x) = k · x^n
Where:
k is a constant
n is the exponent (positive, negative, or fractional)
Direct Proportionality (n = 1): Linear growth → f(x) = kx
Quadratic Growth (n = 2): f(x) = kx²
Cubic and Higher Growth (n > 2): Accelerating growth
Fractional/Negative Powers: Represent diminishing returns or decay
Production functions (Cobb-Douglas type)
Economies of scale
Demand elasticity analysis
Exponential functions are important for modeling growth and decay in business and economics.
An exponential function has the form:
f(x) = a · b^x, a ≠ 0, b > 0, b ≠ 1
Where:
a is the initial value
b is the base, representing growth (>1) or decay (<1)
Continuous and smooth
Rapid increase if b > 1 (growth)
Rapid decrease if 0 < b < 1 (decay)
Never touches x-axis (asymptotic behaviour)
Compound interest
Population growth
Depreciation of assets
Exponential decay in inventory or pricing models
The remainder theorem is a useful tool for dividing polynomials quickly. It simplifies polynomial calculations without full division.
If a polynomial P(x) is divided by (x – a), the remainder is P(a).
P(x) ÷ (x – a) = Q(x) + R
Where R = P(a)
If P(x) = x³ – 4x² + 5x – 2, divide by (x – 1):
Remainder = P(1) = 1 – 4 + 5 – 2 = 0
Hence, (x – 1) is a factor
Quick factorization
Root finding in polynomial equations
Simplifying economic models using polynomials
| Function Type | General Form | Graph Shape | Applications |
|---|---|---|---|
| Polynomial | a₀ + a₁x + … + anxⁿ | Smooth curve | Cost, revenue, profit |
| Quadratic | ax² + bx + c | Parabola | Profit max/min, cost analysis |
| Power | k·xⁿ | Curve, depending on n | Production functions, scaling |
| Exponential | a·b^x | Exponential growth/decay | Population, compounding, depreciation |
Graphical understanding complements algebraic knowledge. By plotting these functions, students can visualize behaviour and trends in business and economics.
Understanding Chapter 3 is essential for:
Economics: Analyzing cost, revenue, profit, and demand
Finance: Compound interest, depreciation, growth models
Business Analytics: Trend modelling using polynomial and exponential functions
Quantitative Methods: Preparing for statistics and econometrics
These concepts form the building blocks for future quantitative courses in BBE, enabling students to translate mathematical theory into real-world business applications.
Chapter 3 of BBE Mathematics (Unit 1) introduces students to key functional forms and polynomial tools that are widely used in economics and business. From polynomials and quadratics to power and exponential functions, and the remainder theorem, mastering these concepts strengthens analytical thinking and problem-solving skills.
With this chapter’s notes, DU BBE students from Maharaja Agrasen College can:
Visualize and graph functions
Apply polynomial and exponential models to business problems
Solve complex equations efficiently using the remainder theorem
By combining conceptual clarity, graphical understanding, and practical applications, these notes provide a strong foundation for success in BBE mathematics and related subjects.
BBE Notes Business Notes DU Notes Mathematics Unit 1 Polynomial Functions Power Functions Exponential Functions Quadratic Function Remainder Theorem BBE Maths Chapter 3
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