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Precalculus · Unit 1: Polynomial and Rational Functions · 13 min read · Updated 2026-07-21

Polynomial functions and rates of change — AP Precalculus

AP Precalculus · Unit 1: Polynomial and Rational Functions · 13 min read

1. What a Polynomial Function Is ★☆☆☆☆ ⏱ 3 min

Everything in this topic is about **polynomial** functions, so it is worth pinning down exactly what counts as one. A nonconstant polynomial function of $x$ is any function that can be written in the general form below — a sum of terms, each a real number times a whole-number power of $x$.

p(x) = a_n x^n + a_{n-1}x^{n-1} + a_{n-2}x^{n-2} + \cdots + a_2x^2 + a_1x + a_0

Here $n$ is a **positive integer**, each coefficient $a_i$ is a real number, and the leading coefficient $a_n$ is **not zero**. Three names come straight out of this form:

One edge case is worth remembering: a **nonzero constant** function such as $p(x) = 6$ is also a polynomial function, of **degree zero**.

2. Local (Relative) Maximum and Minimum Values ★★☆☆☆ ⏱ 4 min

From Topic 1.2 the **average rate of change** over an interval is the change in output divided by the change in input, and from Topic 1.3 its **sign** tells you the direction: a positive rate means the function is increasing there, a negative rate means it is decreasing. A polynomial's key features sit exactly where that direction changes.

There is a second place a local extreme value can appear. If the polynomial's **domain is restricted** and the endpoint is **included**, that endpoint is a local maximum or minimum as well — the function simply has nowhere further to go on that side.

3. Global (Absolute) Maximum and Minimum Values ★★☆☆☆ ⏱ 3 min

A local extreme value becomes a **global** one when it wins against the whole function, not just its neighbours.

Degree tells you when a global extreme value is guaranteed. A polynomial function of **even degree** always has either a global maximum or a global minimum. For a **quadratic** function, that global maximum or minimum occurs at the **vertex**.

4. What Two Distinct Real Zeros Force ★★☆☆☆ ⏱ 2 min

The real zeros of a polynomial are the input values where its output is $0$ — the inputs where the graph meets the $x$-axis. Knowing two of them tells you something about the shape in between, with no computation at all.

The reason is easy to picture: leaving one zero the graph moves off the $x$-axis, and to arrive at the other zero it has to come back. It cannot do both while only rising, or only falling — somewhere in between it must turn around.

5. Points of Inflection ★★★☆☆ ⏱ 3 min

So far we have used the **sign** of the rate of change. The last characteristic comes from asking a different question about the same numbers: is the rate of change itself getting bigger or smaller?

That is the concavity idea from Topic 1.3. Where the rate of change is **increasing**, the graph is **concave up**; where the rate of change is **decreasing**, the graph is **concave down**. The place where that switches over has a name.

Common Pitfalls

Why: A global maximum must be greater than **all other output values** of the function. Many polynomials, such as $f(x)=x^3-3x$, have local extreme values but no global ones at all because the outputs are unbounded.

Why: At an **included** endpoint of a restricted domain the polynomial has a local maximum or minimum, even though the function never switches direction there.

Why: In $p(x) = 5 - 2x^3 + x$ the first term is $5$, but the leading term is the one with the greatest exponent, $-2x^3$.

Why: That describes a local maximum or minimum. A point of inflection is where the **rate of change** switches from increasing to decreasing or the reverse — the function itself can be increasing on both sides of it.

Why: Two distinct real zeros already force at least one local maximum or minimum strictly between them, because the graph must leave the axis and return to it.

Quick Reference Cheatsheet

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