Lecture 17 Flashcards
Optimization, graphing, concavity, first and second derivative test; applied optimization
1
Q
how do you find the critical points of a function?
A
- take the derivative
- set the derivative equal to zero
- factors and solve for x values
- plug the x values into the original function to create points
2
Q
how do you find the inflection points of a function?
A
- take the first derivative
- take the second derivative
- set the second derivative equal to zero
- solve for the x values in the second derivative
3
Q
how can you tell what the critical points are from a graph?
A
look where the slope is zero, where a perfect horizontal line can be drawn
4
Q
how do you find the global max’s and min’s on a closed interval?
A
- find the derivaitve
- set the derivative equal to zero
- factor and solve for the x values
- plug the critical values and the endpoints into the original function
-the highest y value produced will be the global max and the lowest will be the global min
5
Q
is division likely to represent increasing or decreasing?
A
decreasing
6
Q
is multiplication likely to represent increasing or decreasing?
A
increasing
7
Q
how can you solve any optimization problem?
A
- draw a diagram
- create the wanted equation and constraint equation
- isolate one variable and plug the answer into the other equation
- find the derivative of the function created
- isolate and solve for a variable
- use the value of the variable and an equation to solve for the other variable