Chapter 22: Extreme Values
Extreme Values
We have the detailed study of the structure of graphs of functions. Flow are they shaped? What are their key properties?
Definition → Let a function be defined on the domain .
is an ABSOLUTE MAXIMUM if →
for all in
is an ABSOLUTE MINIMUM if →
for all in
We say there are EXTREME VALUES of
EXAMPLE
Find the global min of on
We know thus is the minimum
Example
If possible find the global min/max of on the domain
We have is a minimum.However, is not in the domain and thus, there is no max.
Discuss → Fill in the table with domains for the function
Definition → A function has a LOCAL MAX for all near . has a LOCAL MIN at
f(c) ≤ f(x) for all x near c
"Near" - Means there is a small number t so that -
for minima
OR
for maxima
Discuss → Label the local/global min/max of -
Fact → (The Extreme Value Theorem)
Any continuous function defined on a closed interval has a global maximum and a global minimum.
This fact like the IVT, is not easy to prove. It is tricky and topological.
Fact → If is a local min or max and is defined then
Example - Find the local min/max of
# Find the derivative of
# Find the roots of the derivative
Thus, and may be local max/min
Definition → A point where or is undefined is a CRITICAL POINT of
Algorithm → Find the global min/max of on a finite closed intervals
- Find the critical points of
- Evaluate at all endpoints and critical points
- Take the largest and smallest values
Example
Find the global min/max of on
- or undef
-
3. Thus
is the global min
is the global max.
Example
Find the global min/max of on
-
2.
3. Thus,
is the min
is the max
Example
Find all the critical points of
Thus, OR
Example
Find all critical points of
Thus, has critical points at -
undef
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