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extreme value theorem
if a function is continuous from [a,b], then there must be an abs. max and an abs. min
critical points
the points where f’(x) DNE or =0.
these are where max/mins will occur
how to find abs max/min
find critical points of f(x)
plug crit point x’s into f(x)
include the endpoints as x values
whichever gives you the smallest y-value is the min, and largest is the max
local extremes vs absolute extremes
locals don’t include domain endpoints
absolutes do
the first derivative test
how we find where a function is increasing/decreasing
also how we find local mins/maxes
not every critical point is a min/max
find crit points
divide into intervals based on crit points
find where f‘ is positive or negative by using test values
use first derivative test for local max/mins
concavity
the function is concave up if it looks like a smiley face, concave down if looks like frowny face
f(x) is concave up if f’’(x) > 0
f(x) is concave down if f’’(x) < 0
critical point vs inflection point
crit points: refers to the point where the function may change its direction and f’ = 0 or undefined
inflection points: refers to the point wher concavity may change, and f’’ = 0 or undefined
second derivative test
if f’(c) = 0 and f’’(c) < 0, then f has a local max at x = c
if f(c) = 0 and f’’(c) > 0 then f has a local min at x = c
Note: a critical point that is also an inflection point is neither a local max or min
how to do optimization problems
draw a diagram
determine the quantity that must be min/maxed
introduce a “master equation” that includes the special quantity
write another equation that involves the variables of the master equation (and likely something given to you by the question)
rewrite the second equation to isolate one of the variables, then substitute it into the master equation
simplify, then find the abs max/min (derive, and then solve for the variable, then use it to find the other one)
graphs of f’(x)
just remember what it represents. like fully write out “f’(x) = slope of f(x)” and then what a value of 0 would mean.
linear approximation formula
Estimate = f(a) + f‘(a) • (x-a)
(first term of taylor series)
x = is the value they give you
a = is a nearby “nice value”
f = is the function x was plugged into (sin0.1 = sinx, x = 0.1, a = 0)