• IntroductionSimplex
  • History
  • Elements
  • Symmetric graphs of regular simplices
  • Standard simplexExamplesIncreasing coordinatesProjection onto the standard simplexCorner of cube
  • Cartesian coordinates for a regular n-dimensional simplex in Rn
  • Geometric propertiesVolumeDihedral angles of the regular n-simplexSimplices with an "orthogonal corner"Relation to the (n + 1)-hypercubeTopologyProbabilityAitchison geometryCompounds
  • Algebraic topology
  • Algebraic geometry
  • Applications
  • See also
  • Notes
  • References
cover image

Simplex

Multi-dimensional generalization of triangle / From Wikipedia, the free encyclopedia

Dear Wikiwand AI, let's keep it short by simply answering these key questions:

Can you list the top facts and stats about Simplex?

Summarize this article for a 10 year old

SHOW ALL QUESTIONS
For other uses, see Simplex (disambiguation).

In geometry, a simplex (plural: simplexes or simplices) is a generalization of the notion of a triangle or tetrahedron to arbitrary dimensions. The simplex is so-named because it represents the simplest possible polytope in any given dimension. For example,

  • a 0-dimensional simplex is a point,
  • a 1-dimensional simplex is a line segment,
  • a 2-dimensional simplex is a triangle,
  • a 3-dimensional simplex is a tetrahedron, and
  • a 4-dimensional simplex is a 5-cell.
The four simplexes that can be fully represented in 3D space.
The four simplexes that can be fully represented in 3D space.

Specifically, a k-simplex is a k-dimensional polytope that is the convex hull of its k + 1 vertices. More formally, suppose the k + 1 points u 0 , … , u k {\displaystyle u_{0},\dots ,u_{k}} {\displaystyle u_{0},\dots ,u_{k}} are affinely independent, which means that the k vectors u 1 − u 0 , … , u k − u 0 {\displaystyle u_{1}-u_{0},\dots ,u_{k}-u_{0}} {\displaystyle u_{1}-u_{0},\dots ,u_{k}-u_{0}} are linearly independent. Then, the simplex determined by them is the set of points

C = { θ 0 u 0 + ⋯ + θ k u k   |   ∑ i = 0 k θ i = 1  and  θ i ≥ 0  for  i = 0 , … , k } . {\displaystyle C=\left\{\theta _{0}u_{0}+\dots +\theta _{k}u_{k}~{\Bigg |}~\sum _{i=0}^{k}\theta _{i}=1{\mbox{ and }}\theta _{i}\geq 0{\mbox{ for }}i=0,\dots ,k\right\}.}
{\displaystyle C=\left\{\theta _{0}u_{0}+\dots +\theta _{k}u_{k}~{\Bigg |}~\sum _{i=0}^{k}\theta _{i}=1{\mbox{ and }}\theta _{i}\geq 0{\mbox{ for }}i=0,\dots ,k\right\}.}

A regular simplex[1] is a simplex that is also a regular polytope. A regular k-simplex may be constructed from a regular (k − 1)-simplex by connecting a new vertex to all original vertices by the common edge length.

The standard simplex or probability simplex[2] is the (k − 1)-dimensional simplex whose vertices are the k standard unit vectors in R k {\displaystyle \mathbf {R} ^{k}} {\displaystyle \mathbf {R} ^{k}}, or in other words

{ x ∈ R k : x 0 + ⋯ + x k − 1 = 1 , x i ≥ 0  for  i = 0 , … , k − 1 } . {\displaystyle \left\{x\in \mathbf {R} ^{k}:x_{0}+\dots +x_{k-1}=1,x_{i}\geq 0{\text{ for }}i=0,\dots ,k-1\right\}.}
{\displaystyle \left\{x\in \mathbf {R} ^{k}:x_{0}+\dots +x_{k-1}=1,x_{i}\geq 0{\text{ for }}i=0,\dots ,k-1\right\}.}

In topology and combinatorics, it is common to "glue together" simplices to form a simplicial complex. The associated combinatorial structure is called an abstract simplicial complex, in which context the word "simplex" simply means any finite set of vertices.

HomeAbout usFAQPressSite mapTerms of servicePrivacy policy