Lagrange on an Ellipse to find Max/Min Distance

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Homework Help Overview

The discussion revolves around using Lagrange multipliers to maximize or minimize the distance from the origin to a point on an ellipse, with participants exploring the constraints of the ellipse and the formulation of the optimization problem.

Discussion Character

  • Exploratory, Assumption checking, Problem interpretation

Approaches and Questions Raised

  • Participants discuss the appropriateness of maximizing distance squared instead of distance itself. Questions arise regarding the correct formulation of the constraints that define the ellipse and how to combine the equations of the cylinder and plane involved.

Discussion Status

Some participants have attempted to formulate the maximization problem but express uncertainty about the correctness of their equations. Guidance has been offered regarding the simplification of the distance calculation and the need for multiple Lagrange multipliers.

Contextual Notes

There is mention of confusion regarding the combination of equations and the conditions necessary for a point to lie on the ellipse, indicating potential gaps in understanding the geometric setup.

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Homework Statement



Bci0M.png



Homework Equations



Lagrance Multipliers.

The Attempt at a Solution



This is a pretty dumb question, and I feel a little embarassed asking but..

I know how to do the Lagrange part (I think). I'm assuming you maximize/minimize the distance, \sqrt{x^{2} + y^{2} + z^{2}} subject to the constraints of the ellipse.


The part I'm having trouble with is finding the constraints of the ellipse - could someone help point me in the right direction?
 
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YayMathYay said:

Homework Statement



Bci0M.png



Homework Equations



Lagrance Multipliers.

The Attempt at a Solution



This is a pretty dumb question, and I feel a little embarassed asking but..

I know how to do the Lagrange part (I think). I'm assuming you maximize/minimize the distance, \sqrt{x^{2} + y^{2} + z^{2}} subject to the constraints of the ellipse.


The part I'm having trouble with is finding the constraints of the ellipse - could someone help point me in the right direction?

It is a lot easier to maximize or minimize distance-squared; do you see why it is OK to do that? As for the constraints, ask yourself: how can I tell if a given point (x,y,z) is on the ellipse? What are the conditions for that?
 
Ray Vickson said:
It is a lot easier to maximize or minimize distance-squared; do you see why it is OK to do that? As for the constraints, ask yourself: how can I tell if a given point (x,y,z) is on the ellipse? What are the conditions for that?

Ah yes, the thought of it passed my mind, but I didn't think it was viable until you pointed it out - thanks! :)

As for the constraints, I know the equations of the cylinder and the plane that create it.. but when I try to put them together (i.e., x^{2} + y^{2} = x + y + z), it doesn't seem to give me the correct equation. I might just be having a brain fart, but I just don't know what I'm missing or doing incorrectly here :(
 
Just gave it an attempt, and my maximization problem became:Maximize x^{2} + y^{2} + z^{2} subject to x + y - \sqrt{1 - x^{2}} - \sqrt{1 - y^{2}} = 0

Is this correct? If so, do I need to substitute out z in terms of x and y? Because I have a feeling that would make things very complicated..
 
YayMathYay said:
Just gave it an attempt, and my maximization problem became:


Maximize x^{2} + y^{2} + z^{2} subject to x + y - \sqrt{1 - x^{2}} - \sqrt{1 - y^{2}} = 0

Is this correct? If so, do I need to substitute out z in terms of x and y? Because I have a feeling that would make things very complicated..

You wrote two equations, not one, so you need two Lagrange multipliers.
 

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