Exploring the Global Extrema of a Function in the Region R

In summary: I in mine said anything about a minimum.mm... going to infinity and a function has a minimum is two separate thing anyway.. you need it to go to negative infinity then you can't have a global min...common sense it seems.. but r u just confused with what the words mean?
  • #1
CaityAnn
38
0
Does this Fxy have a global Min?

Heres the question:

Consider the function fxy= x+y+9/x+1/y. Determine all the local max min and saddle points. DOes f have any global maximum points in the region R where x,y>0 Explain algebraically.

So I found only one critical point, 3,1 and found it to be a local min.
As for the global part, I said NO, because the function does not have a boundry x and y goto infinity and this function does not the sort of parabolic shape to have a natural global max or min.

Is that right? How could I be more graceful with my answer?

Thanks geniuses :wink:
 
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  • #2
Everyones lookin and noones sayin anything. :D
 
  • #3
Heres the question:

Consider the function fxy= x+y+9/x+1/y. Determine all the local max min and saddle points. DOes f have any global maximum points in the region R where x,y>0 Explain algebraically.

So I found only one critical point, 3,1 and found it to be a local min.
As for the global part, I said NO, because the function does not have a boundry x and y goto infinity and this function does not the sort of parabolic shape to have a natural global max or min.

Is that right? How could I be more graceful with my answer?
 
  • #4
if a function is unbounded from below, it has no global minimum, eg. 1/x has no minimum
 
  • #5
I said, the function does not have any bounds so it does not have a global max.
I graphed the function with my handy dandy computer graphing program and it
looks like it could have a global max in the positive x/y region although a portion of the function does goto infinity.

?
 
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  • #6
Remember to consider BOTH roots of the grad f = 0 equations, because you get quadratics in both df/dx = 0 and df/dy = 0 (partial derivatives obviously), so that gives you 4 local turning points.

You're right about no global min, you can see that by considering large and small y and x values, it's not bounded above or below.
 
  • #7
CaityAnn said:
I said, the function does not have any bounds so it does not have a global max.
I graphed the function with my handy dandy computer graphing program and it
looks like it could have a global max in the positive x/y region although a portion of the function does goto infinity.

?

?? Do you understand what a global maximum is? If any portion of the function goes to infinity, no finite number can be a global maximum!

(Local maximum, possibly)
 
  • #8
AlphaNumeric said:
Remember to consider BOTH roots of the grad f = 0 equations, because you get quadratics in both df/dx = 0 and df/dy = 0 (partial derivatives obviously), so that gives you 4 local turning points.

You're right about no global min, you can see that by considering large and small y and x values, it's not bounded above or below.

Note that it was specified that x,y> 0. The only one of the four critical points in the first quadrant is the one she specified, (3, 1).

By the way, this same question was posted in the "homework" section. Please do not double post! I am going to merge the two threads.
 
  • #9
"If any portion of the function goes to infinity, no finite number can be a global maximum!"

I don't think that's true. X^2 has a global min, even if it does goto infinity.
 
  • #10
if you know some tricks about inequality... this problem can be done without ANY calculus.

by AM-GM (arithmetic mean is greater or equal to geometric mean)

[tex]\frac{a+b}{2}\ge (ab)^{1/2}[/tex]
for a, b>0
with equality iff a=b

then
[tex]x+y+9/x+1/y \ge 2\sqrt{x\cdot 9/x}+2
sqrt{y\cdot 1/y}=7[/tex]

for equality case, x=9/x, y=1/y, x=3, y=1

the minimum is [tex]4\sqrt{3}[/tex].

edit: fixed an embarrassing mistake: the previous inequality is correct but the equality case is impossible.
 
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  • #11
CaityAnn said:
I said, the function does not have any bounds so it does not have a global max.
I graphed the function with my handy dandy computer graphing program and it looks like it could have a global max in the positive x/y region although a portion of the function does goto infinity.

?

CaityAnn said:
"If any portion of the function goes to infinity, no finite number can be a global maximum!"

I don't think that's true. X^2 has a global min, even if it does goto infinity.


?? yes, of course, x2 has a global minimum but neither you in your post, nor I in mine said anything about a minimum.
 
  • #12
mm... going to infinity and a function has a minimum is two separate thing anyway.. you need it to go to negative infinity then you can't have a global min...common sense it seems.. but r u just confused with what the words mean?
 

What is a global minimum?

A global minimum is the lowest possible value of a function or measurement on a global scale. It represents the lowest point of a curve or surface and is the optimal solution for a given problem.

How is a global minimum calculated?

A global minimum is typically calculated using mathematical algorithms and optimization techniques. These methods involve systematically testing different values until the lowest possible value is identified.

Why is it important to describe global minimum?

Describing global minimum is important because it helps us understand the optimal solution for a problem and can guide decision-making in various fields such as economics, engineering, and science. It also allows for comparisons between different scenarios and helps identify areas for improvement.

Can a global minimum change over time?

Yes, a global minimum can change over time as conditions and variables change. For example, in economics, the global minimum for a country's GDP may change as economic policies and market conditions shift.

Are there limitations to describing global minimum?

Yes, there can be limitations to describing global minimum. The accuracy and reliability of the calculation can be affected by the complexity of the problem, the quality of the data, and the chosen optimization method. Additionally, global minimum may not always be achievable due to constraints or limitations within the system.

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