Equation of a plane determined by three or four points in R4

Click For Summary
SUMMARY

The equation of a plane in $\mathbb{R}^4$ can be determined using either three or four points, depending on whether the plane is a two-dimensional surface or a three-dimensional subspace. For a two-dimensional surface, the plane is expressed in terms of two parameters with 12 linear equations derived from three points. In contrast, a three-dimensional subspace requires four points and is represented using three parameters, resulting in 16 linear equations. The generalized cross product can be utilized to find the normal vector in four dimensions, enabling the formulation of the hyperplane equation.

PREREQUISITES
  • Understanding of parametric equations in higher dimensions
  • Familiarity with linear algebra concepts, including determinants and Gaussian elimination
  • Knowledge of vector operations in $\mathbb{R}^4$
  • Experience with solving systems of linear equations
NEXT STEPS
  • Study the generalized cross product in $\mathbb{R}^4$
  • Learn about hyperplanes and their properties in higher-dimensional spaces
  • Explore applications of Gaussian elimination in solving linear systems
  • Investigate the geometric interpretation of planes and subspaces in $\mathbb{R}^4$
USEFUL FOR

Mathematicians, physicists, and computer scientists working with higher-dimensional geometry, as well as students studying linear algebra and vector calculus.

Rorschach
Messages
10
Reaction score
0
How do you find the equation of a plane in determined by say three or four points in $\mathbb{R}^4$?

In $\mathbb{R}^{3}$ we would use the cross product to find normal vector, but that doesn't apply in $\mathbb{R}^4$.
 
Physics news on Phys.org
Exactly what do you mean by a "plane" in four dimensions? A two dimensional, flat, surface or a three dimensional, flat, subspace?

If you mean a two dimensional surface then it can be determined by three points. Calling the extra dimension "t", we can write the plane as x= Au+ Bv+ C, y= Du+ Ev+ F, z= Gu+ Hv+ I, t= Ju+ Kv+ L. That is, since it is two dimensional it can be written in terms of two parameters and since it is a plane those functions can be taken to be linear. Given three points, [math](x_1, y_1, z_1, t_1)[/math], [math](x_2, y_2, z_2, t_2)[/math] and [math](x_3, y_3, z_3, t_3)[/math], and taking parameters u and v such that the first point corresponds to u= 0, v= 0, the second to u= 1, v= 0, and the third to u= 0. v= 1 we have 12 linear equations
[math]x_1= C[/math]
[math]y_1= F[/math]
[math]z_1= I[/math]
[math]t_1= L[/math]
[math]x_2= A+ C[/math]
[math]y_2= D+ F[/math]
[math]z_2= G+ I[/math]
[math]t_2= J+ L[/math]
[math]x_3= B+ C[/math]
[math]y_3= E+ F[/math]
[math]z_3= H+ I[/math]
[math]t_3= K+ L[/math]
to solve for the 12 coefficients.

If you mean a three dimensional subspace of the four dimensional space you will need four points. A three dimensional subspace will require three parameters. Now we would write, in parametric equations
[math]x= Au+ Bv+ Cw+ D[/math]
[math]y= Eu+ Fv+ Gw+ H[/math]
[math]z= Iu+ Jv+ Kw+ L[/math]
[math]t= Mu+ Nv+ Ow+ P[/math].
Taking the four points to correspond to parameters u= v= w= 0; u= 1, v= w= 0; v= 1, u= w= 0; and w= 1, u= v= 0, we have a total of 16 linear equations to solve for the 16 coefficients.
 
Rorschach said:
How do you find the equation of a plane in determined by say three or four points in $\mathbb{R}^4$?

In $\mathbb{R}^{3}$ we would use the cross product to find normal vector, but that doesn't apply in $\mathbb{R}^4$.

Hi Rorschach,

There is a generalized cross product.
For 4 dimensions it is:
$$\mathbf n = \begin{vmatrix}a_1&a_2&a_3&a_4 \\ b_1&b_2&b_3&b_4 \\ c_1&c_2&c_3&c_4 \\ \mathbf e_1&\mathbf e_2&\mathbf e_3&\mathbf e_4\end{vmatrix} \tag 1$$
where $\mathbf e_i$ are the standard unit vectors, and where $|\cdot|$ denotes the determinant.
The result $\mathbf n$ is a vector that is perpendicular to $\mathbf a, \mathbf b$, and $\mathbf c$.

We can use it to find the equation of a hyperplane, which is a 3D plane in 4 dimensions.More generally, suppose $\mathbf v_1, ..., \mathbf v_k$ are the vectors that span a plane.
Then we can find the normal vectors by solving $\mathbf v_1 \cdot \mathbf n = 0, ..., \mathbf v_k \cdot \mathbf n = 0$.
Or in matrix notation:
$$\begin{bmatrix}\mathbf v_1 & ... & \mathbf v_k\end{bmatrix}^T\mathbf n = 0 \tag 2$$
We can solve it for instance with Gaussian elimination.
 

Similar threads

  • · Replies 19 ·
Replies
19
Views
2K
  • · Replies 5 ·
Replies
5
Views
2K
  • · Replies 17 ·
Replies
17
Views
4K
  • · Replies 8 ·
Replies
8
Views
2K
  • · Replies 26 ·
Replies
26
Views
959
Replies
31
Views
3K
  • · Replies 1 ·
Replies
1
Views
1K
  • · Replies 10 ·
Replies
10
Views
2K
  • · Replies 4 ·
Replies
4
Views
3K
  • · Replies 9 ·
Replies
9
Views
2K