Finding Minimum Values with Lagrange Multipliers

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Homework Help Overview

The discussion revolves around minimizing the function x² + y² subject to the constraint 4x² + 3y² = 12, utilizing Lagrange multipliers. Participants explore the implications of their calculations and the conditions under which minimum values can be found.

Discussion Character

  • Exploratory, Assumption checking, Problem interpretation

Approaches and Questions Raised

  • Participants discuss the setup of the Lagrange multiplier equations and the assumptions made regarding the values of x and y. Questions arise about the validity of certain values of λ and their implications on finding minimum points.

Discussion Status

The conversation reflects an ongoing exploration of potential solutions, with participants questioning the correctness of their assumptions and calculations. Some guidance has been offered regarding the need to reassess the values of λ and the conditions under which the constraint is satisfied.

Contextual Notes

There is a noted constraint that some proposed points do not satisfy the original equation, leading to further investigation into the conditions required for valid solutions. Participants are also considering additional questions related to other optimization problems.

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Homework Statement


Minimise = x2 + y2 subject to C(x,y) = 4x2 + 3y2 = 12.


Homework Equations





The Attempt at a Solution


I let h(x,y) = x2 + y2 + [tex]\lambda[/tex](4x2 + 3y2 - 12).
I got hx = 2x + 8[tex]\lambda[/tex]x = 0, hy = 2y + 6[tex]\lambda[/tex]y = 0, but here I get 2 values of [tex]\lambda[/tex], [tex]\lambda[/tex] = -1/4 & -1/3. So I don't get a min/max value.
 
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When you solve each equation for [tex]\lambda[/tex], you're making an assumption about the values of x and/or y. Perhaps one of these assumptions is wrong.
 
How about, for example, lambda=(-1/4) and y=0. Doesn't that satisfy both equations?
 
So a min/max point is (0,0). How do I get the other 3.
 
(0,0) doesn't satisfy the constraint. Try again.
 
I think I got it. 4 points: (0,2),(0,-2),([tex]\sqrt{3}[/tex],0),(-[tex]\sqrt{3}[/tex],0). When it asks to minimise do I just find the 2 min values.
 
Yup.
 
Cheers.
I have anther question.
How do I find the point(s) on the surface z2 + xy = 1 that lie closest to the origin.
Is it let h(x,y,z) = x2 + y2 + z2 + [tex]\lambda[/tex](z2 + xy - 1) then find the partial derivatives & equate to 0 & the rest.
 
Yup.
 
  • #10
I get [tex]\lambda[/tex] = 0 so the point is (0,0,0) which is the origin but that can't be right?
 
  • #11
No, that point doesn't satisfy the constraint, so the multiplier can't be 0.

Look at the z equation. Assume z isn't 0. What does λ have to be? Then use that value to solve for x and y. Then solve for z.

Now assume z=0. To satisfy the constraint, neither x nor y can vanish. For what values of λ will the x and y equations have non-zero solutions?
 
  • #12
Oops. I got my hz wrong. [tex]\lambda[/tex] = -1. So y = 2x & x = 2y. So we get z2 + 2x3 = 1 therefore z = [tex]\pm[/tex] (1-2x2)1/2. I get (0,0,1) & (0,0 -1). I actually get 4 more points making 6 in total.
 
Last edited:
  • #13
I think this is wrong.
 
  • #14
Why?
 

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