Minimization problem using partial derivatives

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Homework Help Overview

The discussion revolves around a minimization problem involving partial derivatives, specifically optimizing a distance equation with three variables. Participants explore the implications of using substitutions and different approaches to the problem.

Discussion Character

  • Exploratory, Conceptual clarification, Mathematical reasoning

Approaches and Questions Raised

  • Participants discuss minimizing a distance function defined as \(f(x,y,z)=x^2+y^2+z^2\) and question the validity of critical points derived from this function. Some suggest using polar coordinates and Lagrange multipliers as alternative methods.

Discussion Status

The discussion includes various interpretations of the problem, with some participants expressing uncertainty about their reasoning and others providing guidance on the method to be used. There is no explicit consensus on the correct approach or outcome.

Contextual Notes

Participants note the importance of referencing the surface in question when deriving critical points and express confusion regarding the relationship between the distance function and the surface being analyzed.

Leo Liu
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Homework Statement
.
Relevant Equations
.
1613524274511.png

a) ONLY
The common way to solve this problem is minimizing the two-variable equation after using the substitution ##z^2=1/(xy)##. Yet I wondered if it is possible to optimize the distance equation with three varibles. So I wrote the following equations:
Distance:
$$f(x,y,z)=s^2=x^2+y^2+z^2$$
$$\begin{cases}f_x=2x\\ f_y=2y\\ f_z=2z\end{cases}\implies (0,0,0) \text{ is a critical point}$$
But the graph of ##xyz^2## says otherwise. Why?
1613525166653.png

Thank you.
 
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f(x,y,z)=f(x,y)=x^2+y^2+\frac{1}{xy}

Another approach is using polar coordinates. As for a)
r^3\ \sin^2\theta \cos^2\theta\cos\phi \sin\phi=1
 
Last edited:
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Leo Liu said:
Homework Statement:: .
Relevant Equations:: .

View attachment 278155
a) ONLY
The common way to solve this problem is minimizing the two-variable equation after using the substitution ##z^2=1/(xy)##. Yet I wondered if it is possible to optimize the distance equation with three varibles. So I wrote the following equations:
Distance:
$$f(x,y,z)=s^2=x^2+y^2+z^2$$
$$\begin{cases}f_x=2x\\ f_y=2y\\ f_z=2z\end{cases}\implies (0,0,0) \text{ is a critical point}$$
But the graph of ##xyz^2## says otherwise. Why?
View attachment 278157
Thank you.

Realise it's just wrong thinking - you got your fx etc. from the s2 equation with no reference at all to what the surface you are asked about is. By that criterion the distance from the origin to every surface would be 0 !

So you need to go back to your textbook to recall what the method is.

For surface a) I get this distance to be 2√2 but I can have got it wrong too.
 
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epenguin said:
Realise it's just wrong thinking - you got your fx etc. from the s2 equation with no reference at all to what the surface you are asked about is. By that criterion the distance from the origin to every surface would be 0 !

So you need to go back to your textbook to recall what the method is.

For surface a) I get this distance to be 2√2 but I can have got it wrong too.
Wolfram says ##2\sqrt{2}## is correct.

https://www.wolframalpha.com/widgets/view.jsp?id=895957d708a52242400f57757f81e627
 
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This looks like a problem that can be done using Lagrange multipliers: Minimize ## x^2+y^2+z^2## subject to the constraint of belonging to the respective surface.
 

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