How Does Calculus Determine the Minimum Distance from a Point to a Plane?

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SUMMARY

The discussion focuses on determining the minimum distance from the origin to the plane defined by the equation x + y + z = 1. The distance squared, D², is expressed as D² = x² + y² + (x + y - 1)². Participants emphasize the use of partial derivatives to find the critical points that yield the minimum distance. The method involves setting the partial derivatives to zero and verifying the nature of the critical points to confirm that the distance is genuinely minimal.

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  • Understanding of calculus, specifically partial derivatives
  • Familiarity with the concept of distance in three-dimensional space
  • Knowledge of Euclidean geometry and inner products
  • Ability to manipulate algebraic equations involving multiple variables
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  • Learn about critical points and their classification using the second derivative test
  • Explore the concept of Euclidean inner products in vector spaces
  • Investigate optimization techniques for functions of several variables
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Homework Statement


Show that the distance D from the origin of any point (x , y , z) lying on the plane x + y + z= 1 satisfies
D^2 + x^2 + y^2 +(x + y -1)^2 .
By considering partial derivatives, find the point that is closest to the origin. Prove that this distance is genuinely minimal.

Homework Equations





The Attempt at a Solution


I did the first part. Knowing Distance is D^2 = x^2 + y^2 + z^2 then by re-arranging x + y + z =1 to -z = x + y - 1.
z^2 = (-z)^2 = (x + y - 1)^2
D^2 = x^2 + y^2 + (x + y - 1)^2
Not sure how to do the next part. How does considering partial derivatives help me find a point closest to the origin?
Any help would be great.
 
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misterau said:

Homework Statement


Show that the distance D from the origin of any point (x , y , z) lying on the plane x + y + z= 1 satisfies
D^2 + x^2 + y^2 +(x + y -1)^2 .
Shouldn't this be an equation? Namely, D^2 = x^2 + y^2 +(x + y -1)^2.

misterau said:
By considering partial derivatives, find the point that is closest to the origin. Prove that this distance is genuinely minimal.

Homework Equations





The Attempt at a Solution


I did the first part. Knowing Distance is D^2 = x^2 + y^2 + z^2 then by re-arranging x + y + z =1 to -z = x + y - 1.
z^2 = (-z)^2 = (x + y - 1)^2
D^2 = x^2 + y^2 + (x + y - 1)^2
Not sure how to do the next part. How does considering partial derivatives help me find a point closest to the origin?
Any help would be great.

You have D2 as a function of x and y. You're looking for the smallest value of D2 from the origin to the plane. You can use partial derivatives to find the minimum point in a way analogous to finding the minimum value of a function of one variable (i.e., finding the derivative, and setting it to zero to get the critical points, and then checking with the second derivative to see if you have a local maximum or local minimum).
 
misterau said:

Homework Statement


Show that the distance D from the origin of any point (x , y , z) lying on the plane x + y + z= 1 satisfies
D^2 + x^2 + y^2 +(x + y -1)^2 .
By considering partial derivatives, find the point that is closest to the origin. Prove that this distance is genuinely minimal.

Homework Equations





The Attempt at a Solution


I did the first part. Knowing Distance is D^2 = x^2 + y^2 + z^2 then by re-arranging x + y + z =1 to -z = x + y - 1.
z^2 = (-z)^2 = (x + y - 1)^2
D^2 = x^2 + y^2 + (x + y - 1)^2
Not sure how to do the next part. How does considering partial derivatives help me find a point closest to the origin?
Any help would be great.

The distance from a plane P to the origin is equal to a.x + b.y + c.z = d where <a,b,c> is
a normal vector and d is the distance to the origin.

We do this through the notion of a Euclidean Inner Product. Basically what happens here is
that in three dimensional geometry we express the inner product in the form of
<a,b> = |a||b|cos(a,b) where |a| is the length vector of a and |b| is the lebgth vector of
b. cos(a,b) is the cosine of the angle between a and b is denoted in that way.
 

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