Minimizing Distance to the Origin

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Homework Help Overview

The problem involves finding the point(s) on the surface defined by the equation z² - 10xy = 10 that are nearest to the origin. The context is rooted in optimization techniques, specifically using Lagrange multipliers to minimize the distance to the origin.

Discussion Character

  • Exploratory, Mathematical reasoning, Assumption checking

Approaches and Questions Raised

  • Participants discuss the use of Lagrange multipliers to minimize the squared distance function. There is an exploration of different values for the Lagrange multiplier λ and the implications of these choices on the solutions. Questions arise regarding the validity of certain assumptions and the correctness of derived relationships between variables.

Discussion Status

The discussion is ongoing, with participants providing corrections and clarifications regarding the original poster's reasoning. Some participants have confirmed the validity of certain solutions while questioning others, indicating a productive exploration of the problem without reaching a definitive consensus.

Contextual Notes

There is a focus on the constraints imposed by the surface equation and the conditions under which the Lagrange multipliers are applied. Participants are also considering the implications of different cases for λ and the resulting relationships between x and y.

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Homework Statement


Find the point(s) on the surface z2 - 10xy = 10 nearest to the origin.

The Attempt at a Solution


I will minimize distance by minimizing distance2. So,

D = x2 + y2 + z2, where z2 - 10xy = 10. By Lagrange multipliers I have,

2x = -10yλ
2y = -10xλ
2z = 2zλ.

By the last equation, clearly either z = 0 or λ = 1 or λ = 0.

I will test λ = 1 first with the condition y ≠ 0 and x ≠ 0. By dividing the first equation by the second equation I have,

x/y = y/x, which implies x = y. But clearly 2x ≠ -10x when x ≠ 0. So I reject λ = 1 with the condition y ≠ 0 and x ≠ 0. I will now test λ = 1 first with the condition y = 0. I have,

2(0) = 10 * x * 1, so clearly x = 0. (Similarly, I could have tested with the condition x = 0 and found y = 0.) By the constraint equation I have z2 - 10(0)(0) = 10, so clearly z = ±√10.

Suppose z = 0. Then x ≠ 0 and y ≠ 0 because, in our constraint equation, -10xy = 10. So clearly xy = -1. I will now divide 2x = -10yλ by 2y = -10xλ and again find x = y. This implies,

x2 = -1 or y2 = -1.

x = i or y = i. I reject these solutions as crazy.

Suppose λ = 0. Then it must follow that y = 0 and x = 0. Again, plugging into our constraint equation gives z = ±√10. Therefore, Lagrange multipliers give the points (0,0,±√10), both of which give distance √10.

However, by inspection, one can see that the points (1,-1,0) and (-1,1,0) also satisfy the constraint and give distance √2.

Ideas where I went wrong?
 
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First, λ = 0 is not a solution from your 3rd equation. (Check it.)

Second, your conclusion x=y is not quite right.
What you have is x^2=y^2, which has 2 solutions: x=y or x=-y.
 
Okay. You're right about λ = 0. My bad.

Let's see if I can actually derive the correct (I presume, unless there is another point closer to the origin that satisfies the restraint) solutions.

So, from x2 = y2 I determine that x = ± y.

02 -10(±y)(y) = 10.
(-/+)y2 = 1
(-/+)y = ± 1
y = (-/+) 1

x = -y, so when y = -1, x = 1. When y = 1, x = -1. Therefore, I also have solutions (±1,(-/+)1,0), both of which give distance √2. Look about right?

Why, however, do (±1,(-/+)1,0) fail to satisfy 2x = -10y*λ and 2y = -10x*λ, when λ = 1?
 
When λ=1, you do not have x,y=±1.

What you do have is x=±y.
And from 2x = -10yλ, it follows (with λ=1) that x=y=0.Btw, your solutions (±1,(-/+)1,0), both of which give distance √2, look right.
 

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