Find the points closest to the origin

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Homework Help Overview

The discussion revolves around finding the points on the curve defined by the equation x² + xy + y² = 2 that are closest to the origin, with a focus on methods excluding Lagrange multipliers. The problem is situated within the context of geometry and optimization, specifically involving an ellipse.

Discussion Character

  • Exploratory, Conceptual clarification, Mathematical reasoning, Problem interpretation

Approaches and Questions Raised

  • Participants discuss the completion of the square to analyze the ellipse and express confusion about isolating y in terms of x. There are mentions of using the distance formula and exploring the quadratic nature of the equation in y. Some suggest considering alternative methods such as polar coordinates or constrained optimization.

Discussion Status

The discussion is ongoing, with various methods being proposed and explored. Some participants have provided hints and alternative approaches, while others express uncertainty about the restrictions on using certain techniques like Lagrange multipliers.

Contextual Notes

There is a noted constraint that the original poster wishes to solve the problem without using Lagrange multipliers, which has led to some questioning of this limitation. Additionally, the nature of the problem suggests that it may be part of a larger assignment involving different methods.

NewtonianAlch
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Homework Statement


Find the points x^2 + xy + y^2 = 2 that are closest to the origin.

Homework Equations


Distance Formula

The Attempt at a Solution


I have to first solve this without using Lagrange Multipliers.

This is essentially an ellipse. So I first completed the square:

3/4\,{x}^{2}+ \left( y+1/2\,x \right) ^{2}=2

I was thinking first I should separate x and y, and use that in the distance formula, but I can't seem to isolate y, is my approach wrong?
 
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NewtonianAlch said:

Homework Statement


Find the points x^2 + xy + y^2 that are closest to the origin.
Shouldn't this be an equation?
NewtonianAlch said:

Homework Equations


Distance Formula


The Attempt at a Solution


I have to first solve this without using Lagrange Multipliers.

This is essentially an ellipse. So I first completed the square:

3/4\,{x}^{2}+ \left( y+1/2\,x \right) ^{2}=2
Where did the 2 come from? Are you starting with ##x^2 + xy + y^2 = 2##?
NewtonianAlch said:
I was thinking first I should separate x and y, and use that in the distance formula, but I can't seem to isolate y, is my approach wrong?
 
Mark44 said:
Shouldn't this be an equation?
Where did the 2 come from? Are you starting with ##x^2 + xy + y^2 = 2##?

Yes, sorry. That was silly of me, I edited the original post to correct that error.
 
The equation y2 + xy + x2 - 2 = 0 is quadratic in y, so you can use the Quadratic Formula to solve for y. (You'll get two values with the ±, meaning there are two functions of x.)

Your problem is to find the minimum value of D(x) = √(x2 + y2). Here you will need to substitute for y from the previous work, making D really a function of x alone.

Alternatively, you could find the minimum value of D2(x) = x2 + y2, again making the substitutions for y. Since there are two functions, you'll need to do the work for both of them. I don't know if there is any symmetry you can exploit to save work. The graph is an ellipse, but one that has been rotated.
 
Thanks for that, I will look into it.
 
NewtonianAlch said:

Homework Statement


Find the points x^2 + xy + y^2 = 2 that are closest to the origin.


Homework Equations


Distance Formula


The Attempt at a Solution


I have to first solve this without using Lagrange Multipliers.

This is essentially an ellipse. So I first completed the square:

3/4\,{x}^{2}+ \left( y+1/2\,x \right) ^{2}=2

I was thinking first I should separate x and y, and use that in the distance formula, but I can't seem to isolate y, is my approach wrong?

As an alternative method, you could solve the problem as a constrained optimization, using a Lagrange multiplier approach. You want to minimize f(x,y) = x^2 + y^2 (the square of the distance) subject to g(x,y) = 0, where g(x,y) = x^2 + y^2 + x*y-2.

RGV
 
Ray Vickson said:
As an alternative method, you could solve the problem as a constrained optimization, using a Lagrange multiplier approach.
In post #1 it says
I have to first solve this without using Lagrange Multipliers.

Ray Vickson said:
You want to minimize f(x,y) = x^2 + y^2 (the square of the distance) subject to g(x,y) = 0, where g(x,y) = x^2 + y^2 + x*y-2.
 
Mark44 said:
The equation y2 + xy + x2 - 2 = 0 is quadratic in y, so you can use the Quadratic Formula to solve for y. (You'll get two values with the ±, meaning there are two functions of x.)
Another option is to use polar coordinates. The equation of the ellipse becomes r^2(1+\sin\theta\cos\theta) = 2, where r is the distance from the origin.

And that's a big enough hint at this point.
 
Mark44 said:
In post #1 it says

I missed that remark about no Lagrange multipliers, although I cannot see why anyone would say "you cannot use such-and-such a technique". What's the point of that? However, the OP must live with it.

RGV
 
  • #10
It's probably because the next part of the problem (not shown here) was to solve the same problem, but this time using Lagrange multipliers.
 

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