Simple maximum/minimum application (temperature in a circular plate)

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Homework Help Overview

The problem involves a circular plate defined by the equation x² + y² ≤ 1, with a temperature function T(x,y) = x² - x + 2y². The task is to identify the hottest and coldest points on the plate.

Discussion Character

  • Exploratory, Assumption checking

Approaches and Questions Raised

  • The original poster attempts to find critical points by setting the partial derivatives of the temperature function to zero. They identify (1/2, 0) as a critical point and analyze its nature using the second derivative test.
  • Some participants question the origin of the maxima points mentioned in the book, specifically (-1/2, √3/2) and (-1/2, -√3/2), and discuss the need to consider the boundary of the circular region separately.
  • Others suggest methods for addressing the boundary, including the use of Lagrange multipliers or substituting variables to simplify the problem.

Discussion Status

The discussion is ongoing, with participants exploring different approaches to handle the boundary conditions of the problem. There is recognition of the need to treat the boundary separately, but no consensus has been reached on the specific methods to apply.

Contextual Notes

Participants note that the problem may not have been fully addressed in the original homework materials, leading to confusion about how to approach the boundary conditions.

U.Renko
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Homework Statement


I have a circular plate made of some metal and it is shaped like the equation [itex]x^2 + y^2 \leqslant 1[/itex]

The temperature at any given point in this plate is given by the function [itex]T(x,y) = x^2 -x+2y^2[/itex]

I'm supposed to find the hottest and the coldest points.

Homework Equations


If B^2 -AC < 0 and A < 0 ; C < 0 Then the point is a local maximum

If B^2 -AC < 0 and A > 0 ; C > 0 Then the point is a local minimum

The Attempt at a Solution


first I try looking for critical points

[itex]\frac{\partial T}{\partial x} = 2x - 1 [/itex]

[itex]\frac{\partial T}{\partial y} = 4y[/itex]

the critical points are when the partial derivatives are equal to zero, so:

2x-1 = 0 → 2x = 1 → x = 1/2
4y = 0 → y = 0
so the point (1/2 , 0) is a critical point.


next is seeing if it's a minimum or maximum.

[itex]A = \frac{\partial^2 T}{\partial x^2} = 2[/itex]

[itex]B = \frac{\partial^2 T}{\partial x \partial y } = 0[/itex]

[itex]C = \frac{\partial^2 T}{\partial y} = 2[/itex]

since B^2 - AC < 0 and A > 0 ; C > 0
The point is local minimum.

So far ok

the answer in the book is
[itex](\tfrac{1}{2}, 0)[/itex]
is a minimum, which I did find
and
[itex](-\tfrac{1}{2},\tfrac{\sqrt{3}}{2}) , (-\tfrac{1}{2},-\tfrac{\sqrt{3}}{2})[/itex] are maxima


Now, my question is.

Where did the two maxima points come from?
 
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U.Renko said:

Homework Statement


I have a circular plate made of some metal and it is shaped like the equation [itex]x^2 + y^2 \leqslant 1[/itex]

The temperature at any given point in this plate is given by the function [itex]T(x,y) = x^2 -x+2y^2[/itex]

I'm supposed to find the hottest and the coldest points.

Homework Equations


If B^2 -AC < 0 and A < 0 ; C < 0 Then the point is a local maximum

If B^2 -AC < 0 and A > 0 ; C > 0 Then the point is a local minimum

The Attempt at a Solution


first I try looking for critical points

[itex]\frac{\partial T}{\partial x} = 2x - 1 [/itex]

[itex]\frac{\partial T}{\partial y} = 4y[/itex]

the critical points are when the partial derivatives are equal to zero, so:

2x-1 = 0 → 2x = 1 → x = 1/2
4y = 0 → y = 0
so the point (1/2 , 0) is a critical point.


next is seeing if it's a minimum or maximum.

[itex]A = \frac{\partial^2 T}{\partial x^2} = 2[/itex]

[itex]B = \frac{\partial^2 T}{\partial x \partial y } = 0[/itex]

[itex]C = \frac{\partial^2 T}{\partial y} = 2[/itex]

since B^2 - AC < 0 and A > 0 ; C > 0
The point is local minimum.

So far ok

the answer in the book is
[itex](\tfrac{1}{2}, 0)[/itex]
is a minimum, which I did find
and
[itex](-\tfrac{1}{2},\tfrac{\sqrt{3}}{2}) , (-\tfrac{1}{2},-\tfrac{\sqrt{3}}{2})[/itex] are maxima


Now, my question is.

Where did the two maxima points come from?


Those points are on the boundary of the set, x^2+y^2=1. They don't need to be critical points of T(x,y). You need to treat the boundary separately. Do you know how?
 
Dick said:
You need to treat the boundary separately. Do you know how?


probably not
I guess the book hasn't mentioned this.
or maybe it did by some other name...
 
U.Renko said:

Homework Statement


I have a circular plate made of some metal and it is shaped like the equation [itex]x^2 + y^2 \leqslant 1[/itex]

The temperature at any given point in this plate is given by the function [itex]T(x,y) = x^2 -x+2y^2[/itex]

I'm supposed to find the hottest and the coldest points.

Homework Equations


If B^2 -AC < 0 and A < 0 ; C < 0 Then the point is a local maximum

If B^2 -AC < 0 and A > 0 ; C > 0 Then the point is a local minimum

The Attempt at a Solution


first I try looking for critical points

[itex]\frac{\partial T}{\partial x} = 2x - 1 [/itex]

[itex]\frac{\partial T}{\partial y} = 4y[/itex]

the critical points are when the partial derivatives are equal to zero, so:

2x-1 = 0 → 2x = 1 → x = 1/2
4y = 0 → y = 0
so the point (1/2 , 0) is a critical point.


next is seeing if it's a minimum or maximum.

[itex]A = \frac{\partial^2 T}{\partial x^2} = 2[/itex]

[itex]B = \frac{\partial^2 T}{\partial x \partial y } = 0[/itex]

[itex]C = \frac{\partial^2 T}{\partial y} = 2[/itex]

since B^2 - AC < 0 and A > 0 ; C > 0
The point is local minimum.

So far ok

the answer in the book is
[itex](\tfrac{1}{2}, 0)[/itex]
is a minimum, which I did find
and
[itex](-\tfrac{1}{2},\tfrac{\sqrt{3}}{2}) , (-\tfrac{1}{2},-\tfrac{\sqrt{3}}{2})[/itex] are maxima


Now, my question is.

Where did the two maxima points come from?


They are on the boundary x^2 + y^2 = 1, and at such points the derivatives of T do not need to vanish. In fact, you should look at the *constrained* problem max T(x,y), subject to x^2 + y^2 = 1. You can do this either by using a Lagrange multiplier method, or else by using the constraint to eliminate one of the two variables. For example, suppose we eliminate y by writing y^2 = 1-x^2. Plug that into T and get a simple one-dimensional problem, which you solve by setting the derivative to zero. (We can do that because we no longer have a constraint now.) That will give you x = -1/2; then y^2 = 3/4 will give you two y-values.

Note: in general, be VERY careful about setting derivatives to zero when you have inequality constraints, because sometimes you fail to get the solution that way. The simplest example is max or min x, subject to 0 <= x <= 1. The min is at x = 0 and the max is at x = 1, but the derivative is nonzero at both those points!

RGV
 

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