Finding a point on a surface which is closest to given point

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Homework Help Overview

The problem involves finding the point on the surface defined by the equation z² = xy + y + 3 that is closest to the point (1, 2, 0). The discussion centers around methods for determining this closest point, particularly focusing on the use of Lagrange multipliers.

Discussion Character

  • Exploratory, Mathematical reasoning, Assumption checking

Approaches and Questions Raised

  • Participants discuss the application of Lagrange multipliers as a method to find the closest point on the surface. There are questions regarding the validity of different approaches and the reasoning behind the method used. Some participants express curiosity about the method itself, indicating a desire to understand the underlying concepts.

Discussion Status

There is an ongoing exploration of the Lagrange multipliers method, with participants sharing their attempts and results. Some express confidence in their findings, while others are seeking clarification and deeper understanding of the method. The discussion reflects a mix of confirmed results and inquiries into the reasoning behind the calculations.

Contextual Notes

Participants note that the problem involves multiple variables and equations, leading to a system that may not have a unique solution. There is also mention of the assumptions regarding the relationship between the distance and the surface, particularly the perpendicularity condition.

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Homework Statement


Find the point on the surface z2 = xy + y + 3 which is closest to the point (1,2,0)

Homework Equations

The Attempt at a Solution


upload_2015-11-6_0-31-57.png

Can someone check my work?
 
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I used a slightly different method, "Lagrange Multipliers", and got the same answer so it looks good!
 
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HallsofIvy said:
I used a slightly different method, "Lagrange Multipliers", and got the same answer so it looks good!
curious to see which way is method, I haven't learned that yet.
 
Last edited:
The "Lagrange Mulltipliers" method uses the fact that the shortest distance from a point to a surface is always perpendicular to the surface. So a vector in the direction of the line of shortest distance is parallel to a vector perpendicular to the surface. Given the function D(x, y, z)= (x- 1)^2+ (y- 2)^2+ z^2, The vector -(Dx i+ Dyj+ Dzk)= -(2(x- 1)i+ 2(y- 2)j+ 2zk) points along the line of fastest decrease of distance. We can write the surface as G(x, y, z)= xy+ y+ 3- z^2= 0 which has gradient vector nabla G= yi+ (x+ 1)j- 2zk perpendicular to the surface. So those two vectors must be parallel which means one is a multiple of the other: -(2(x- 1)+ 2(y- 2)+ 2z= lambda (yi+ (x+ 1)j- 2zk) where lambda is the "Lagrange Multiplier".

Setting the same component equal we have the three equations, -2x+ 2= lambda y, -2y+ 4= lambda (x+ 1), and -2z= -2 lambda z. That is three equations in four unknowns, but we also have the equation of the surface, z^2= xy+ y+ 3. From -2z= -2 lambda z, we must have either z= 0 or lambda= 1. The first two equations, with lambda= 1, become -2x+ 2= y and -2y+ 4= x+ 1. With y= -2x+ 2, -2y+ 4= -2(-2x+ 2)+ 4= 4x- 4+ 4= 4x= x+ 1 so 3x= 1, x= 1/3. Then y= -2x+ 2= -2(1/3)+3= -2/3+ 6/3= 4/3. From that z^2= (1/3)(4/3)+ 4/3+ 3= 4/9+ 12/9+ 27/9= 43/9. So z= +/- sqrt(43)/3.

(One can show that z= 0, which is the same as saying xy+ y+ 3= 0, cannot give a minimum distance.)
 

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