Different Versions of a Plane in R^3 (The Plane, The Plane)

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SUMMARY

The discussion focuses on the mathematical representation of planes in R^3, specifically through two common forms: the equation ax + by + cz = d and the basis representation {v1, v2}. Techniques such as Gaussian elimination are employed to convert between these forms. The cross-product of basis vectors is highlighted as a method to derive the normal vector (a, b, c) for the plane equation. Additionally, the conversation delves into the complexities of a rotating system of planes, emphasizing the significance of tangent spaces and coordinate systems in the analysis.

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  • Understanding of vector spaces and linear independence
  • Familiarity with Gaussian elimination techniques
  • Knowledge of cross-product operations in vector mathematics
  • Basic concepts of affine and vector spaces
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  • Study the derivation of the plane equation from basis vectors using cross products
  • Explore the implications of tangent spaces in rotating coordinate systems
  • Learn about affine transformations and their relationship to vector spaces
  • Investigate advanced applications of plane distributions in differential geometry
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Different "Versions" of a Plane in R^3 (The Plane!, The Plane!)

Hi, All:

The two most common expressions , AFAIK, for describing a plane in ## R^3 ## are:

i) Writing the plane in the form : ax+by+cz=d

ii) Giving a basis {v1, v2} for the plane.

I know how to produce a basis to go from version i) to version ii) -- basically by using techniques of Gaussian elimination . I know of a method to produce a plane from a pair of basis elements, but I can't see how it works ; we do a cross-product of the basis vectors. I thought this cross-product would just produce a vector normal to the given {v1 , v2} , but somehow it generates an equation of the type in i). Does anyone understand why/how this formula works, or know some other nice way to go from version ii), i.e., from a basis, to the form in i)?
 
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First of all, what you did is not completely accurate. In (ii), you should have a basis and a point on the plane.

Anyway, for your question. You should know that the first equation can be written as

[tex](a,b,c)\cdot (x,y,z) = d[/tex]

Now, to find a basis for the plane, you need to find two linearly independent points on the plane going through the origin and parallel to the original plane. This yields the equation

[tex](a,b,c)\cdot (x,y,z) = 0[/tex]

So, if you are given a basis, then you are given two points whose dot product with ##(a,b,c)## is ##0##. So it is perpendicular to ##(a,b,c)##. To find a vector orthogonal to the basis vectors is usually done with the cross product. So the cross product gives one possibility of ##(a,b,c)##. To determine ##d##, you need to use the point on the plane.
 
Ah, yeah, sorry I forgot to include the most important part; clearly, like you said, the method for obtaining a basis from the equation of the plane can be reversed to get the equation of the plane from a pair of basis vectors; that I get. It comes down to going from affine space to vector space (going thru the origin or not) and back.

BUT**I forgot to say that I'm dealing here with a rotating system of planes (a.k.a, moving frame), i.e., a "plane distribution" , i.e., an assignment of planes at each point --at each tangent space, actually--in coordinates $$ (r, \theta, z)$$ and this coordinate system rotates about the XY-plane, so that, at a fixed point $$(x_0,y_0,z_0)$$:

1)The vector $$\partial /\partial z $$ : has a fixed direction pointing upwards.

2)The vector $$\partial /\partial r $$ : is in the direction of the line from $$(0,0,z_0) $$ to $$(x_0,y_0,z_0)$$, i.e., $$ \partial /\partial r $$ is in the plane $$z=z_0$$.

3)The vector $$ \partial/ \partial \theta $$ is in the $$z=z_0 $$ -plane also, and it is perpendicular to

$$ \partial / \partial r $$ in that plane.

So we have some moving frames here, which I think changes the layout.
 
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