End behavior: what happens at infinity
Pull back to the widest possible view. As , what dominates a polynomial? The leading term — because the highest power of grows faster than every lower power and simply murders the rest. (This is an informal version of a limit argument; the rigorous version is in calculus, but the conclusion is available now and you should use it without hesitation.)
So for large , the polynomial behaves like . That's it. Two numbers control the far-left and far-right tails: the leading coefficient and the degree .
The four possible end behaviors:
| Degree | Leading coeff | ||
|---|---|---|---|
| even | positive () | ||
| even | negative () | ||
| odd | positive () | ||
| odd | negative () |
Mnemonic, if you need one: even-degree polynomials have "matching" tails (both up or both down); odd-degree have "opposite" tails. The sign of sets which way. This is not a rule to memorize — it follows from what does when is even (always positive if , regardless of the sign of ) versus odd ( has the sign of ).
Zeros, roots, and x-intercepts
A zero of is a value with . Equivalently, it's an -intercept of the graph. These are the same thing. The word "root" means the same thing. Three names for one concept — get used to it, mathematicians have absolutely no shame and have never once in history agreed on a single piece of terminology.
A degree- polynomial has at most real roots. Here's why: if are distinct roots, then divides (we'll prove this via the Factor Theorem below). That product is degree , and a degree- polynomial divides a degree- polynomial only if . So : at most roots.
The Factor Theorem
Theorem. is a zero of the polynomial if and only if is a factor of .
Proof sketch. Divide by using polynomial long division. You get: where is the quotient (a polynomial of degree ) and is the remainder (a constant, since the divisor has degree 1). Now evaluate at : So the remainder .
If : the remainder is , so divides evenly. Factor found. If divides : then , so .
Both directions done. The Factor Theorem is just the Remainder Theorem applied to the case .
This is your main tool for factoring higher-degree polynomials: test potential roots, and each confirmed root hands you a factor. It's free money. The proof cost us nothing. Use it shamelessly.
Multiplicity: crossing vs bouncing
When you write a polynomial in factored form, a factor might repeat: The zero has multiplicity 3; the zero has multiplicity 2.
What does multiplicity do to the graph at a root?
- Odd multiplicity: the graph crosses the -axis at that root. It passes through like a line through a point.
- Even multiplicity: the graph bounces off the -axis (is tangent to it). It touches and turns back.
Why? Near with multiplicity , the function looks like for some nonzero constant . If is odd, changes sign as passes through , so changes sign — it crosses. If is even, is always non-negative (or non-positive), so doesn't change sign — it bounces. The graph touches the axis, thinks about crossing, and turns back like a coward. That's even multiplicity.
Drag the function grapher and watch this in action:
Sketching from factored form
Given , you can sketch a rough graph:
- End behavior: use and .
- Zeros: mark each on the -axis; cross (odd ) or bounce (even ).
- Between zeros: the function maintains a sign (it can't change sign without passing through a zero). Check one test point in each interval.
- Connect: draw a smooth curve consistent with all constraints.
This isn't a substitute for plotting software; it's a sanity-check machine. If your sketch says the function goes to on the left but your end-behavior analysis says , you've made an error somewhere. Catch it early — before it shows up on an exam and makes you feel like shit.