Unit 1 - Precalc
Unit 1
1.1
VLT (Vertical Line Test) will not always work to determine if a graph is a function or not! (also in AP Testing tips toggle)
When graphing, don't connect plotted points since you don’t know if it’s straight/curved/else. (also in AP Testing tips toggle)
rate of change is a graph of a function’s slope, but rate of change and slope are NOT interchangeable words
rate of change increasing means the function is concave up, since the slope is constantly increasing
DON’T abbreviate “rate of change”
function → positive , means function is above the x-axis
function → increasing , means function has a positive slope/going up
function → positive ≠ function → increasing
characteristics of rate of change
roc positive = f(x) increasing
roc negative = f(x) decreasing
roc increasing = f(x) concave up
roc decreasing = f(x) concave down
roc positive and increasing: f(x) increasing and concave up ╯
roc negative and increasing: f(x) decreasing and concave up ╰
roc positive and decreasing: f(x) increasing and concave down ╭
roc negative and decreasing: f(x) decreasing and concave down ╮
justifying behaviors of graphs (roc rules)
always use rate of change!
increasing f(x) ↗
rate of change is positive
decreasing f(x) ↘
rate of change is negative
concave up (positive parabola) ∪
The rate of change is increasing
the function’s rate of change is increasing over consecutive equal length intervals so the function is concave up
concave down (negative parabola) ∩
The rate of change is decreasing
the function’s rate of change is decreasing over consecutive equal length intervals so the function is concave down
quadratic
over consecutive equal-length input-value intervals of size , there is a constant second difference in output values of
linear
rate of change is constant
over consecutive equal-length input-value intervals of size , there is a constant difference in output values of
1.2
average rate of change
solve by
find the given interval
find the point associated with the endpoints of that interval
use slope formula to find the average rate of change between those two points
instantaneous rate of change
same thing as finding the rate of change of a function at a given point
we only approximate the rate of change at a point because we are not at calculus level yet
find by using the average rate of change over small intervals (eg. [1,2] or [1,1.001] or [0.999,1] )
1.3
tangent = intersecting in only one spot (touches)
secant = intersecting in 2 or more distinct spots
a tangent line can represent the rate of change at one point
a secant line can represent the average rate of change of a larger interval, where the line intersects the function
roc for linear functions
if f(x) is linear, the rate of change is a constant, horizontal line
f(x) =↗
roc = →
justify by…
the function is linear because the rate of change is constant
over consecutive equal-length input-value intervals of size , there is a constant difference in output values of _.
roc for quadratic functions
if f(x) is quadratic, the rate of change is an increasing/decreasing line
f(x) = ∪
roc = ↗
or
f(x) = ∩
roc = ↘
justify quadratics by…
over consecutive equal-length input-value intervals of size , there is a constant second difference in output values of
when the roc graph looks like a parabola, f(x) is cubic
find the roc / slope / degree / concavity with a chart of points
with the x and y values, subtracting each number by the one above it
divide the y/x. this is the slope / roc
use the roc rules to find what type of function it is
to find the degree, keep subtracting the y-values until all the results are equal (could work the first time)
the number of rounds it takes to get all the subtracted y-values equal, is the degree.
1.4
polynomial functions
degree is a positive integer
leading coefficient is a real number
types of extrema
relative/local extrema
where the polynomial switches between increasing and decreasing or has an endpoint
local max/min
absolute/global extrema
the local extrema with the greatest/least y values
absolute max/min
notated with:
local max/min at x=___(x-values)
absolute max/min = _(y-value) at x=(x-value)
extrema/end behavior on polynomials
even degree→same end behaviors on both sides
odd degree→opposite end behaviors
2 zeroes→must be at least 1 local max/min between them
even degree→must have a global max/min
points of inflection
is when a function changes between concave up to concave down
at this point, the rate of change of changes between increasing to decreasing
is an extrema in the roc graph
located in the middle of two neighboring extrema
in interval notation, when asking for increasing/decreasing part of a function, it is [] unless otherwise noted
in interval notation, when asking for when it is concave up/down, it is () unless otherwise noted
1.5
if a polynomial has a degree n > 0, it will have a total of n zeroes or roots (may be nonreal)
x-intercepts are only real zeroes! zeroes and roots can be nonreal!
if (r,0) is an x-intercept, then r is a root of the polynomial f(x) and r is a solution of the equation f(x)=0
these are different!
remainder theorem
when we divide one polynomial (the dividend) by another (the divisor), we obtain a quotient polynomial and a remainder
(quotient)(divisor)+remainder=dividend
when f(x) is divided by (x-c), then the remainder is f(c)
factor theorem
if the divisor is (x-c) and the remainder is f(c),
then if f(c)=0, x-c is a factor
if x-c is a factor, then f(c)=0
multiplicity
if (x-a) is repeated n times, the corresponding zero has a multiplicity of n
odd multiplicity→polynomial passes through the axis at the point of the zero
multiplicity of 1→goes through like a line
multiplicity > 1→goes through changing concavity
even multiplicity→polynomial touches the axis at the point of the zero
nonreal roots come in pairs!
if a-bi is a root, a+bi is also a root!
f(x)=p(x+q)(x+r)(x+s),
pqr*s = c (y-intercept)
f(x)>0 asks when f(x) is above the x-axis
f(x)<0 asks when f(x) is below the x-axis
f(x)=0 asks when f(x) is on the x-axis
to solve nonlinear inequalities, you can use a sign chart or find the zeroes and visualize the graph
symmetry
even functions are symmetric over the y-axis (when they aren’t shifted)
f(-x)=f(x)
(x,y)=(-x,y)
eg.
odd functions are symmetric about the origin (when they aren’t shifted)
f(-x)=-f(x)
(x,y)=(-x,-y)
eg.
you can find if a function has an odd or even degree by finding f(-x) and seeing if they are equal to f(x) (even) or -f(x) (odd). if they don’t match, they are probably shifted
y=0 is the only function that is both even and odd
1.6
end behavior
describes how a function behaves as it moves infinitely to the right and left
what happens to the y-values as x increases or decreases without bound
justified by writing:
As the x-values increases/decreases without bound, the y-values of f(x) increase/decrease without bound.
notated in limit notation:

right side:
leading coefficient is positive (+) →end behavior goes up/increases
leading coefficient is negative (-) → end behavior goes down/decreases
left side:
degree is even → same as the right side
degree is odd → opposite of the right side