How Polynomials Behave

A polynomial looks like this:
Polynomial expression 2x^4 plus 6x minus 5
example of a polynomial

Continuous and Smooth

There are two main things about the graphs of Polynomials:

The graphs of polynomials are continuous, which is a special term with an exact definition in calculus, but here we'll use this simplified definition:

Pencil drawing an uninterrupted smooth curve on paperwe can draw it without lifting our pen from the paper

The graphs of polynomials are also smooth. No sharp "corners" or "cusps"

Smooth polynomial curve contrasted with a curve having a sharp corner
Rollercoaster track curving smoothly through hills and loops

Example: Rollercoaster

Imagine you're riding a rollercoaster: the ups and downs of the track can be modeled by a polynomial equation.

And (you hope) there are no sharp changes.

How the Curves Behave

Let's graph some polynomials to see what happens ...

... and let's start with the simplest form:

f(x) = xn

Which actually does interesting things:

Even power curves y=x^2, x^4, and x^6 flattening near zero and steepening above 1

Even values of "n" behave the same:

  • Always above (or equal to) 0
  • Always go through (0,0), (1,1) and (-1,1)
  • Larger values of n flatten out near 0, and rise more sharply above the x-axis

Odd power curves y=x^3, x^5, and x^7 passing through quadrant 3 to quadrant 1

Odd values of "n" behave the same:

  • Always go from negative x and y to positive x and y
  • Always go through (0,0), (1,1) and (−1,−1)
  • Larger values of n flatten out near 0, and fall/rise more sharply from the x-axis

Power Function of Degree n

Next, by including a multiplier of a we get what's called a "Power Function":

f(x) = axn
f(x) equals a times x to the "power" (ie exponent) n

The a changes it this way:

Example: f(x) = ax2
a = 2, 1, ½, −1

Parabolas of y=ax^2 scaled by a equals 2, 1, 1/2, and -1
Example: f(x) = ax3
a = 2, 1, ½, −1

Cubic curves of y=ax^3 scaled by a equals 2, 1, 1/2, and -1
See it here (try the sliders):
images/function-graph.js?fn0=a*x^2&fn1=b*x^3&xmin=-5.294&xmax=5.259&ymin=-1.447&ymax=4.553&vara=1|-2|2&varb=1|-2|2

We can use that knowledge when sketching some polynomials:

Example: Make a Sketch of y=1−2x7

Start with the simplest "odd power" graph of x3, and gradually turn it into 1−2x7

  • We know how x3 looks,
  • x7 is similar, but flatter near zero, and steeper elsewhere,
  • Squash it to get 2x7,
  • Flip it to get −2x7, and
  • Raise it by 1 to get 1−2x7

Like this:

Five-step transformation from y=x^3 to y=1-2x^7 by flattening, stretching, flipping, and shifting

So by doing this step-by-step we can get a good result.

Turning Points

A Turning Point is an x-value where a local maximum or local minimum happens:

Cubic curve with turning points labeled at the local maximum crest and local minimum trough

How many turning points does a polynomial have?

Never more than the Degree minus 1

The Degree of a Polynomial with one variable is the largest exponent of that variable.

Polynomial 4x^3 minus 5x^2 plus 3 with the exponent 3 identified as the degree

Example: a polynomial of Degree 4 will have 3 turning points or less

Quartic curve y=x^4-2x^2+x with 3 turning points   Quartic curve y=x^4-2x with 1 turning point
x4−2x2+x
has 3 turning points
  x4−2x
has only 1 turning point

The most is 3, but there can be less.

We may not know where they are, but at least we know the most there can be!

Also: turning points change in pairs, because if the curve turns away, it has to turn back. So a degree 4 polynomial can have 1 or 3 turning points, but never 2.

What Happens at the Ends

And when we move far from zero:

then the graph starts to resemble the graph of y = axn where axn is the term with the highest degree.

Example: f(x) = 3x3−4x2+x

Far left or right, the graph will look like 3x3

Curves of 3x^3-4x^2+x and 3x^3 showing different paths near the origin   Zoomed-out view where 3x^3-4x^2+x and 3x^3 merge into the same end behavior
Near Zero, they are
different
  Far From Zero, they
become similar

This makes sense, because when x is large, then x3 is much greater than x2 and so on

This is officially called the "End Behavior Model".

Summary

486, 487, 488, 4020, 1128, 4022, 1129, 2404, 2405, 4021