Unit 1: Polynomial & Rational Functions
Polynomial End Behavior & Zeros
Predicting end behavior and complex zeros from a polynomial's structure.
Prerequisites
- Rates of Change
Reading Infinity from a Polynomial's Highest Term
You just saw that a polynomial's degree can be read straight off a difference table. Before reading on: for a huge value of x, like x = 1,000,000, which term of a polynomial actually controls the output — every term equally, or mostly just one?
Definition — End Behavior
Here's why the leading term wins: compare xⁿ to a lower-degree term like xᵏ (k < n) by their ratio, xⁿ/xᵏ = xⁿ⁻ᵏ. As x grows without bound, that ratio itself grows without bound, since n − k > 0 — meaning the leading term becomes arbitrarily many times larger than any single lower term, not just slightly larger. Once one term dominates that completely, the sum of all the lower-degree terms can't change which way the polynomial is headed.
| Degree | Leading coefficient | As x → −∞ | As x → +∞ |
|---|---|---|---|
| Even | Positive | f(x) → +∞ | f(x) → +∞ |
| Even | Negative | f(x) → −∞ | f(x) → −∞ |
| Odd | Positive | f(x) → −∞ | f(x) → +∞ |
| Odd | Negative | f(x) → +∞ | f(x) → −∞ |
Worked Example — Predicting End Behavior
Degree also caps how many zeros a polynomial can have — but not every zero has to be a real number you can plot. The Fundamental Theorem of Algebra guarantees a degree-n polynomial has exactly n zeros, counted with multiplicity, among the complex numbers. And because this course only works with real coefficients, any non-real zero can't appear alone: substituting a + bi into f and conjugating both sides of f(a + bi) = 0 shows that a − bi must satisfy the equation too, since conjugation distributes cleanly over a sum of real-coefficient terms. Non-real zeros always arrive in conjugate pairs.
Worked Example — Counting Real and Complex Zeros
Function Explorer
Transform: g(x) = a·f(b(x − h)) + k
Composition
Analysis (of the transformed function, in view)
- y-intercept
- (0, 0)
- x-intercepts
- (-9.42, 0), (-6.28, 0), (-3.14, 0), (0, 0), (3.14, 0), (6.28, 0), (9.42, 0)
- Extrema
- local min at (-7.85, -1); local max at (-4.71, 1); local min at (-1.57, -1); local max at (1.57, 1); local min at (4.71, -1); local max at (7.85, 1)
- Inflection points
- (-9.42, 0), (-6.28, 0), (-3.14, 0), (0, 0), (3.14, 0), (6.28, 0), (9.42, 0)
- Vertical asymptotes
- none found in view
- Horizontal asymptotes
- none found
- Domain
- all real numbers in view
- Range (estimated)
- approximately [-1, 1]
Tip
Common Mistakes
Reading end behavior off the term with the largest coefficient instead of the term with the largest degree.
Size of the coefficient never matters for end behavior — only degree does. −2x³ eventually overwhelms 1000x² no matter how much bigger 1000 looks, once x is large enough.
Assuming a degree-4 polynomial always has 4 real zeros, since its graph is quartic-shaped.
Degree only bounds the total zero count (real and complex combined). Some or all of those zeros can be non-real, in which case the graph crosses the x-axis fewer than 4 times.
Key Takeaways
- A polynomial's end behavior is controlled entirely by its leading term, since the leading term overwhelms every lower-degree term for large |x|.
- Even/odd degree combined with the leading coefficient's sign gives one of four end-behavior patterns.
- A degree-n polynomial has exactly n zeros counting multiplicity, but some may be non-real — and non-real zeros always come in conjugate pairs.
Summary
Degree and leading coefficient predict a polynomial's long-run behavior and bound its zero count. Rational functions — polynomials divided by polynomials — inherit this thinking but add a new wrinkle: what happens where the denominator hits zero.
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