How Do Constraints Affect Finding Stationary Points and Global Extrema?

  • MHB
  • Thread starter Pulty
  • Start date
  • Tags
    Points
In summary: Sorry, I had a typo. In the case of the function you are working with, there is only one global maximum and one global minimum on the circular portion of the boundary. Can you find them?
  • #1
Pulty
12
0
The function g is defined by g(x,y) = 3 + x^3 - x^2 - y^2 on the domain D given by points in the xy-plane satisfying x^2 + y^2 <=1 and x >= 0.

So I need to find and classify the stationary points of g, and find the global extreme points of g in D.

Do I start with taking partial derivatives and how do the constraints affect the problem?

Thanks
 
Physics news on Phys.org
  • #2
First, you want to find any critical points of $g$ in the interior of $D$. So, solve the system:

\(\displaystyle g_x(x,y)=0\)

\(\displaystyle g_y(x,y)=0\)

And discard any points not in the interior. What do you find?
 
  • #3
Taking the partials i get;

gx(x,y) = 3x^2 - 2x = 0

solving this I get x = 0, or x = 2/3

gy(x,y) = -2y = 0

solving this I get y = 0

The only point that falls in the domain is (2/3, 0)
 
  • #4
Yes, the origin is on the boundary, not within $D$. So, use the second partials test on your interior critical point to determine its nature. :)
 
  • #5
second partials:

gxx(x,y) = 6x - 2

gxy(x,y) = 0

gyy(x,y) = -2

gxx(x,y)gyy(x,y) - [gxy(x,y)]^2 = (2)(-2) - (0)^2 = -4

So the stationary point is a saddle point?

What does finding the global extreme points of g in D mean exactly?

Thanks!
 
  • #6
I agree, the interior critical point is not an extremum. What we are trying to do is find the global extrema for $g$ where $(x,y)$ satisfy the given constraints.

So, now let's look at the left boundary, which is $x=0$ where $-1\le y\le1$. We have:

\(\displaystyle g(0,y)=3-y^2\)

This is a function in one variable only, and so we use the techniques we learned in Calculus I to find the extrema. What are the extrema here, and what are their nature? Recall functions in one variable with a restricted domain must also be checked on the boundaries.
 
  • #7
Do i take the derivative of the single variable function and solve it at 0?

y=0?
 
  • #8
Pulty said:
Do i take the derivative of the single variable function and solve it at 0?

y=0?

Yes, and don't forget the boundaries $y=\pm1$.

Next, you will want to look at the circular portion of the boundary, and to make things easier we can use parametric equations:

\(\displaystyle x=\cos(t)\)

\(\displaystyle y=\sin(t)\)

\(\displaystyle -\frac{\pi}{2}<t<\frac{\pi}{2}\)

And so we can write $g$ as a function of one variable, $t$. What do you get?
 
  • #9
So what I've done so far is:

g(x,y) = 3 + x^3 - x^2 - y^2

x^2+y^2 <= 1, x>=0

gx(x,y) = 3x^2 - 2x = x(3x - 2) = 0

x = 0, or x = 2/3

gy(x,y) = -2y = 0

y = 0

(2/3, 0) interior: saddle point using second partials

x [0, 1], y [-1, 1]

(0, 0) boundary: 3
(1, 0) boundary: 3
(0, -1) boundary: 2 - Min
(0, 1) boundary: 2 - Min

Boundary of S consists of the circle x^2 + y^2 = 1

around boundary: 3 + x^3 (?)

(0, 0): 3 + 0^3 = 3
(1, 0): 3 + 1^3 = 4 - Max

Not sure if this works or I am completely lost.

Thanks
 
  • #10
On the circular portion of the boundary, we may write:

\(\displaystyle g(t)=3+\cos^3(t)-\cos^2(t)-\sin^2(t)=2+\cos^3(t)\)

We don't need to worry about the boundaries of $t$ because we already covered those points when we explored the linear portion of the boundary.

So, we need to set $g'(t)=0$, and solve for $t$ in the given range to find the critical values. What do you find?
 
  • #11
g'(t) = -3sin(x) cos^2(x) = 0

x = 0 in the given range?
 
  • #12
Pulty said:
g'(t) = -3sin(x) cos^2(x) = 0

x = 0 in the given range?

Replace $x$ with $t$ and that's correct. So, using our parametrizations, to which point does this correspond?
 
  • #13
is that just substituting t = 0 back into the function g(t)

g(t) = 2
 
  • #14
Pulty said:
is that just substituting t = 0 back into the function g(t)

g(t) = 2

No, recall we used:

\(\displaystyle x=\cos(t)\)

\(\displaystyle y=\sin(t)\)

in order to express $g$ as a function in one variable along the circular portion of the boundary.

edit: Belay that...yes you can use $t=0$ in $g(t)$...sorry for the confusion. Either way works, though. But $g(0)\ne2$.
 
  • #15
so,

x = cos(t) = cos(0) = 1
y = sin(t) = sin(0) = 0

(1.0) for the boundary?
 
  • #16
Pulty said:
so,

x = cos(t) = cos(0) = 1
y = sin(t) = sin(0) = 0

(1.0) for the boundary?

Yes, $(x,y)=(1,0)$ is a critical point on the circular boundary, so what are you global max and min?
 
  • #17
So the circular boundary:

g(1,0) = 3

linear boundary:

g(0,0) = 3 (?)
g(0,-1) = 2 (?)
g(0, 1) = 2 (?)

Interior

(2/3, 0) = saddle

Can there be this many points with the same values and still be extrema?
 
  • #18
Pulty said:
So the circular boundary:

g(1,0) = 3

linear boundary:

g(0,0) = 3 (?)
g(0,-1) = 2 (?)
g(0, 1) = 2 (?)

Interior

(2/3, 0) = saddle

Can there be this many points with the same values and still be extrema?

Yes, for example consider the 2D function $y=\sin(x)$...it has an infinite number of relative extrema, however it has only one 1 global minimum and one global maximum. We choose the smallest value from all the critical points as the global minimum and the largest as the global maximum. In the case of the problem you are working on, this means we may write:

\(\displaystyle g_{\min}=2\)

\(\displaystyle g_{\max}=3\)
 

FAQ: How Do Constraints Affect Finding Stationary Points and Global Extrema?

What is a stationary point?

A stationary point is a point on a graph where the slope or gradient is zero. This means that the tangent line at that point is horizontal, and the function is neither increasing nor decreasing at that point.

Why is it important to classify stationary points?

Classifying stationary points allows us to determine the nature of the point, whether it is a maximum, minimum, or a saddle point. This information is useful in understanding the behaviour of a function and can help us find the optimal solutions in optimization problems.

How do you classify a stationary point?

To classify a stationary point, we can use the second derivative test. If the second derivative at the point is positive, it is a minimum point. If the second derivative is negative, it is a maximum point. If the second derivative is zero, further analysis may be required to determine the nature of the point.

What is the difference between a maximum and a minimum point?

A maximum point is the highest point on a graph, while a minimum point is the lowest point. In other words, a maximum point is the peak of a function while a minimum point is the bottom. Both types of points have a slope of zero, but a maximum point has a decreasing slope while a minimum point has an increasing slope.

Can a stationary point be neither a maximum nor a minimum?

Yes, a stationary point can also be a saddle point. A saddle point is a point where the tangent line is horizontal, but it is neither a maximum nor a minimum point. The graph of a saddle point resembles a saddle, hence the name.

Similar threads

Replies
1
Views
1K
Replies
1
Views
2K
Replies
1
Views
1K
Replies
9
Views
2K
Replies
10
Views
3K
Replies
1
Views
1K
Replies
4
Views
2K
Replies
5
Views
2K
Back
Top