What is the limitation of using the discriminant to find global extrema?

In summary, the function has a global max and min at (6,0). But because the discriminant doesn't tell you about global properties, it is just a local max and min.
  • #1
1MileCrash
1,342
41

Homework Statement



I really, really don't understand. My work shows one thing, and a simple look at the function shows another.

f(x,y) = .25x^2 + 5y^7 + 6y^2 - 3x

Find global max and min if they exist.

Homework Equations





The Attempt at a Solution



Took partial derivatives, solved each one for 0.

.5x - 3 = 0 => x = 6
35y^6 + 12y = 0 => y = 0

So a critical point is at (6,0), period.

Discriminant comes out to be

[.5][210y^5 + 12] - 0

Which comes out to be 6, since y = 0.

Therefore the discriminant is > 0, and the partial wrt x is > 0, so a global min occurs at (6,0). Period.



But wait! I submit this answer, and it basically says "nah, forget all that math crap. As y grows without bound, so does the function, so no global max or min."

?

Shouldn't the normal process lead me to that conclusion SOME HOW?
 
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  • #2
The discriminant doesn't tell you anything about whether it is a global max or min. It tells you whether is a local max or min.
 
  • #3
Dick said:
The discriminant doesn't tell you anything about whether it is a global max or min. It tells you whether is a local max or min.

I see...

but, why? and furthermore, local to what region?
 
  • #4
1MileCrash said:
I see...

but, why? and furthermore, local to what region?

Local to the neighborhood of the critical point. And why? Because derivatives tell about the properties of a function near the point where you evaluate them, they don't tell you about what happens far away.
 
  • #5
Dick said:
Local to the neighborhood of the critical point. And why? Because derivatives tell about the properties of a function near the point where you evaluate them, they don't tell you about what happens far away.

That makes sense. What determines the boundaries of the neighborhood of the critical point?
 
  • #6
1MileCrash said:
That makes sense. What determines the boundaries of the neighborhood of the critical point?

It depends on the class of function you are dealing with. In this case it would be the higher derivatives. But that's not even important. The big point is just that the discriminant only tells you about local properties. Let's just say, "some neighborhood".
 
  • #7
Dick said:
It depends on the class of function you are dealing with. In this case it would be the higher derivatives. But that's not even important. The big point is just that the discriminant only tells you about local properties. Let's just say, "some neighborhood".

Got it, thanks a lot!
 

What is a global extremum?

A global extremum, also known as a global maximum or minimum, is the largest or smallest value of a function over its entire domain. It represents the overall highest or lowest point of the function.

How is a global extremum different from a local extremum?

A local extremum is a maximum or minimum value of a function within a specific interval, while a global extremum represents the highest or lowest value of the function over its entire domain. A local extremum may not necessarily be the global extremum.

How can global extrema be found using calculus?

In calculus, the first derivative test and the second derivative test can be used to find global extrema. The first derivative test involves finding critical points where the derivative of the function is equal to zero, and then evaluating the function at these points to determine if they are maximum or minimum values. The second derivative test involves evaluating the second derivative at the critical points to determine if they are points of inflection or maximum or minimum values.

What is the significance of global extrema in real-world applications?

In real-world applications, global extrema represent the optimal value of a function. For example, the global maximum of a profit function would represent the most profit a company can make, while the global minimum of a cost function would represent the lowest cost of production.

Can a function have multiple global extrema?

Yes, a function can have multiple global extrema. These points are known as absolute maximum and minimum points and they are the highest and lowest points of the function, respectively. A function can also have no global extrema if it is unbounded and continues infinitely in one direction.

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