Equal Distances Between N Points in R^n-1+ | Solving System of Equations

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In summary, there is a theorem stating that in n-dimensional space, n distinct points can be separated in an equal distance as long as the distance is greater than 0. This is easy to prove by taking the standard unit vectors in n-dimensional space. The reference for this theorem is unknown, but it is a simple fact and can be solved by solving a system of equations.
  • #1
julypraise
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Is there a theorem that states that n distinct points in R^n-1 or higher one can be separated in an equal distance as the distance is greater than 0?

We know that 4 distinct points in R^2 cannot be positioned in an equal distance>0 but in R^3 it is possible as a pyramid shape.

If there is such a theorem, could you give me reference?

I've posted this on this area because it seems it is a problem of solving a system of equations.

Cheers
 
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I do not know the reference, but it is a simple fact which is easy to prove:

Take in [itex]\mathbb R^n[/itex] n points (1, 0, ...,0), (0, 1, 0, ..., 0), ... (0, 0, ... , 0, 1) (the standard unit vectors). Then the distance between any 2 points is the same ([itex]\sqrt 2[/itex]). Now take the (n-1) dimensional hyperplane through these points, and you get the points positioned in [itex]\mathbb R^{n-1}[/itex].
 
  • #3


Oh yeah... Thank you indeed!
 

Related to Equal Distances Between N Points in R^n-1+ | Solving System of Equations

1. What is the meaning of "Equal Distances Between N Points in R^n-1+ | Solving System of Equations"?

"Equal Distances Between N Points in R^n-1+ | Solving System of Equations" refers to a mathematical problem where the goal is to find a set of N points in a specific dimensional space (R^n-1+) that are all equidistant from each other. This problem can be solved by formulating and solving a system of equations.

2. Why is this problem important in mathematics and science?

The problem of finding equal distances between N points has applications in various fields such as geometry, physics, and computer science. It can be used to solve optimization problems, design experiments, and analyze data. Additionally, this problem has theoretical importance in the study of symmetry and patterns.

3. What are some common methods for solving this problem?

Some common methods for solving this problem include using geometric constructions, applying algebraic techniques, and using computer algorithms. The specific method used will depend on the dimensionality of the space and the complexity of the system of equations.

4. Are there any real-world applications of this problem?

Yes, there are many real-world applications of this problem. For example, in physics, it can be used to determine the position of multiple particles in a system, in computer science it can be used for data clustering, and in geography it can be used for mapping locations.

5. Are there any limitations to solving this problem?

Yes, there are limitations to solving this problem. One limitation is that the problem becomes increasingly complex as the dimensionality of the space increases. Additionally, there may not always be a solution or the solution may not be unique. Furthermore, finding an exact solution may be computationally intensive and may require approximations.

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