Section 1A

Review

AP PRECALCULUS — UNIT 1A · POLYNOMIAL & RATIONAL FUNCTIONS

Unit 1A — REVIEW

Notes — Six Big Ideas in One Place

💡 What this review covers

This document consolidates the six core ideas of Unit 1A:

  • Topic 1.1 — Change in Tandem
  • Topic 1.2 — Rates of Change
  • Topic 1.3 — Rates of Change in Linear and Quadratic Functions
  • Topic 1.4 — Polynomial Functions and Rates of Change
  • Topic 1.5A — Polynomial Functions and Complex Zeros
  • Topic 1.5B — Even and Odd Polynomials
  • Topic 1.6 — Polynomial Functions and End Behavior

Use it as a cumulative reference. Each section restates the essential ideas in compact form, then highlights the key skills and the warnings most students need to remember on exam day.

The six concepts of Unit 1A at a glance — each will resurface throughout the rest of the course.

1. Change in Tandem (Topic 1.1)

A function pairs every input with exactly one output. Two related quantities are said to vary in tandem when they change together according to such a function.

  • Increasing on (a, b): outputs grow as inputs grow.
  • Decreasing on (a, b): outputs shrink as inputs grow.
  • Concave up: graph smiles; the rate of change is increasing.
  • Concave down: graph frowns; the rate of change is decreasing.
  • Inflection point: where concavity changes.
  • Zeros: the inputs where f(x) = 0; x-intercepts on the graph.

2. Rates of Change (Topic 1.2)

💡 Two flavors of rate

• Average rate of change (AROC) on [a, b] = ( f(b) − f(a) ) / ( b − a ) = slope of the secant line.

• Instantaneous rate of change (IROC) at x = c is approximated by AROC on tiny intervals containing c.

AROC has units of (output units)/(input units). The sign of AROC tells you whether the quantity grew (+), shrank (−), or returned to its starting value (0) over the interval.

3. Rates of Change in Linear and Quadratic Functions (Topic 1.3)

Function type

AROC behavior

Difference table signature

Linear (degree 1)

Constant on every interval

1st differences constant

Quadratic (degree 2)

AROCs themselves are linear

2nd differences constant

Cubic (degree 3)

2nd differences are linear

3rd differences constant

Polynomial of degree n

n − 1 layers of structure

n-th differences constant

Concavity and AROCs:

  • AROCs increasing across consecutive equal-length intervals → graph is concave up.
  • AROCs decreasing across consecutive equal-length intervals → graph is concave down.

4. Polynomial Functions and Rates of Change (Topic 1.4)

A polynomial of degree n has form aₙxⁿ + … + a₀ with aₙ ≠ 0.

  • Local maximum/minimum: a peak/valley relative to nearby inputs.
  • Global maximum/minimum: the largest/smallest value of f on its entire domain.
  • Between any two distinct real zeros, there must be a local extremum.
  • Even-degree polynomials always have a global max or global min (based on sign of leading coefficient).
  • Inflection points are where concavity changes — equivalently, where the rate of change shifts from increasing to decreasing or vice versa.

5. Polynomial Functions and Complex Zeros (Topic 1.5A)

💡 The Fundamental Theorem of Algebra

A polynomial of degree n has exactly n complex zeros, counting multiplicity. Some may be real; non-real complex zeros of real-coefficient polynomials always come in conjugate pairs (if a + bi is a zero, so is a − bi).

Multiplicity at a real zero

Graph behaviour

Sign change?

1 (or any odd m)

Crosses through the x-axis

Yes

2 (or any even m)

Touches the x-axis and bounces

No

3, 5, 7, … (odd, ≥ 3)

Crosses with flattening

Yes

4, 6, 8, … (even, ≥ 4)

Bounces with stronger flattening

No

To determine the degree of a polynomial that fits a table of values at equally spaced inputs: take repeated differences. The order at which they first become constant is the degree.

6. Even and Odd Polynomials (Topic 1.5B)

  • Even function: f(−x) = f(x); graph is symmetric across the y-axis.
  • Odd function: f(−x) = −f(x); graph is symmetric about the origin.
  • A polynomial is even ⇔ all of its terms have even exponents.
  • A polynomial is odd ⇔ all of its terms have odd exponents.
  • Mixed exponents ⇒ neither even nor odd.

⚠️ Don't conflate ‘even degree’ with ‘even function’

Degree refers to the highest exponent. Even/odd function refers to symmetry. p(x) = x² + x has even degree but is neither even nor odd.

7. Polynomial Functions and End Behavior (Topic 1.6)

💡 Leading-term dominance

For large |x|, p(x) behaves like its leading term aₙxⁿ. The end behavior is fully determined by:

  • The parity of the degree (even or odd)
  • The sign of the leading coefficient

Degree

Leading coeff

x → ∞

x → −∞

Memory cue

Even

Positive

+∞

+∞

Both ends UP

Even

Negative

−∞

−∞

Both ends DOWN

Odd

Positive

+∞

−∞

DOWN-left, UP-right

Odd

Negative

−∞

+∞

UP-left, DOWN-right

8. The Big Picture — A Diagnostic Routine

If you are handed a polynomial graph or formula on the AP exam, walk through this checklist:

  • Step 1: Identify the degree (count zeros + multiplicities, or read from the formula) and the sign of the leading coefficient.
  • Step 2: Predict end behavior using the four-cases table.
  • Step 3: Locate all real zeros — note their multiplicities (touch vs cross).
  • Step 4: Identify intervals of increase/decrease and any local extrema.
  • Step 5: Identify intervals of concave up/concave down and any inflection points.
  • Step 6: Check for symmetry (even/odd) — if you spot it, use it to halve your work.

9. Vocabulary Quick-Reference

Term

Meaning

Zero / root

An input where p(x) = 0

Multiplicity

How many times (x − a) appears as a factor

Local extremum

A peak/valley relative to nearby inputs

Global extremum

Largest/smallest value over the entire domain

Inflection point

A point where the graph changes concavity

AROC

Average rate of change = slope of secant line

IROC

Instantaneous rate of change at one point

Even function

f(−x) = f(x); y-axis symmetry

Odd function

f(−x) = −f(x); origin symmetry

End behavior

What p does as x → ±∞

Leading term

aₙxⁿ — the term with the highest exponent

Conjugate root

Pair (a + bi, a − bi) of non-real zeros

10. What Comes Next

Unit 1A focuses on polynomial functions. The next half of Unit 1 (1B) extends these ideas to rational functions — quotients of polynomials — bringing in vertical asymptotes, horizontal asymptotes, holes, and the connection between zeros of numerator and denominator. Most of the techniques you have learned (sign analysis, end behavior, multiplicity) carry directly into Unit 1B.

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