Equation of a Plane in R^n , n>3

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SUMMARY

The equation of a plane in R^n for n>3 cannot be defined using a single equation due to the inability to establish a normal vector. Instead, a 2-dimensional plane in n-dimensional space requires n-2 numerical equations, as it is represented by the intersection of hyperplanes defined by linearly independent normal vectors. A hyperplane in R^n is defined as a vector subspace of co-dimension 1, represented by the equation ∑_{i=1}^n a_ix_i = constant. Thus, understanding planes in higher dimensions necessitates a grasp of linear algebra concepts such as rank and dimensionality.

PREREQUISITES
  • Linear algebra concepts, particularly rank and dimensionality
  • Understanding of hyperplanes in vector spaces
  • Familiarity with embedding of lower-dimensional spaces in higher dimensions
  • Knowledge of numerical equations and their role in defining geometric objects
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  • Study the properties of hyperplanes in R^n and their equations
  • Explore the concept of linear maps and their rank in linear algebra
  • Research the embedding of R^2 in higher-dimensional spaces
  • Learn about the intersection of hyperplanes and their geometric implications
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Mathematicians, students of linear algebra, and anyone interested in advanced geometric concepts in higher-dimensional spaces.

WWGD
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Hi,

Just curious: what is the equation of a plane in R^n for n>3 ?

We cannot define a normal vector for n>3 , so, what do we do? I thought

of working with flat, embedded copies of R^2 . In terms of linear algebra,

I guess we could see a plane in R^n as any image of a linear map with

rank=2. In terms of geometry, maybe we need a "flat" embedding of R^2

(I am not clear how to make the term 'flat' here more precise) in R^n.

Anyone know?

Thanks.
 
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WWGD said:
Hi,

Just curious: what is the equation of a plane in R^n for n>3 ?

We cannot define a normal vector for n>3 , so, what do we do? I thought

of working with flat, embedded copies of R^2 . In terms of linear algebra,

I guess we could see a plane in R^n as any image of a linear map with

rank=2. In terms of geometry, maybe we need a "flat" embedding of R^2

(I am not clear how to make the term 'flat' here more precise) in R^n.

Anyone know?

Thanks.
In terms of \mathbb{R}^n, then for \boldsymbol{x} = [x_1,x_2,\ldots,x_n]^\text{T}\in\mathbb{R}^n and non-zero scalars a_n the sub-space

\text{const.} = \sum_{i=1}^n a_ix_i

is a hyperplane of \mathbb{R}^n. In actuality, the definition of a hyperplane is more compact: A hyperplane of any vector space is any vector subspace of co-dimension 1.
 
Thganks, but I was thinking of a 2-d plane living in R^n with n higher than 2.

would that still be defined as a1.x1+a2.x2+a3.x3+0x4+...+0.xn=constant?
 
No. It cannot be done with a single equation like that. To identify an m-dimensional object in n-dimensional space requires n- m numerical equations. That is why Hootenanny was able to give a single equation for a hyper-plane (codimension 1 so dimension n- 1). To determine a 2 dimensional plane in n dimensional space would require n- 2 numerical equations.
 
It would have n-2 linearly independent normal vectors. Take the intersection of the hyperplanes passing through a given point, each with one of the normal vectors.
 

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