Introduction to Polynomial Functions
What You’ll Learn
Section titled “What You’ll Learn”In this lesson you’ll learn what polynomial functions are, how to identify their degree and leading coefficient, and understand their basic behavior.
The Concept
Section titled “The Concept”A polynomial function is a function that can be written as a sum of terms, each with a whole-number exponent:
Key terms:
- Degree: the highest power of x with a non-zero coefficient.
- Leading coefficient: the coefficient of the highest-degree term.
- Constant term: the term with no variable.
The diagram shows how the shape of a polynomial changes with its degree. A degree 1 polynomial (blue) is a straight line. A degree 2 polynomial (orange) is a parabola. A degree 3 polynomial (green) has an S-shaped curve. A degree 4 polynomial (purple) can have a W-shape with multiple turns. The degree tells you the maximum number of times the curve can cross the x-axis and how many “turns” it can have.
Classification by degree:
- Degree 0: constant function (e.g., f(x) = 7)
- Degree 1: linear function (e.g., f(x) = 3x − 2)
- Degree 2: quadratic function (e.g., f(x) = x² + 4x − 5)
- Degree 3: cubic function
- Degree 4: quartic function
Worked Example
Section titled “Worked Example”1. Identify the degree and leading coefficient
For f(x) = 4x³ − 2x² + 7x − 9:
- Degree = 3 (the highest power of x)
- Leading coefficient = 4 (the coefficient of x³)
2. Classify a polynomial
For g(x) = 5x⁴ − 3x + 1:
- Degree = 4, so this is a quartic function
- Leading coefficient = 5
3. Write a polynomial from a description
Write a polynomial of degree 2 with leading coefficient 2 and constant term −8.
One example: f(x) = 2x² + 5x − 8. The middle term can be anything. The degree and leading coefficient are what matter.
Real-World Application
Section titled “Real-World Application”Polynomial functions model many real situations:
- Profit functions: often quadratic or cubic based on production volume.
- Population growth or spread of disease (sometimes modeled with higher-degree polynomials).
- Physics: position, velocity, and acceleration relationships.
- Economics: cost, revenue, and demand curves.
- Engineering: beam deflection, fluid flow, and signal processing.
For example, a company’s monthly profit might be modeled as a cubic polynomial based on units produced, advertising spend, and fixed costs.