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Hypercube
Hypercube
from Wikipedia
In the following perspective projections, cube is 3-cube and tesseract is 4-cube.

In geometry, a hypercube is an n-dimensional analogue of a square (n = 2) and a cube (n = 3); the special case for n = 4 is known as a tesseract. It is a closed, compact, convex figure whose 1-skeleton consists of groups of opposite parallel line segments aligned in each of the space's dimensions, perpendicular to each other and of the same length. A unit hypercube's longest diagonal in n dimensions is equal to .

An n-dimensional hypercube is more commonly referred to as an n-cube or sometimes as an n-dimensional cube.[1][2] The term measure polytope (originally from Elte, 1912)[3] is also used, notably in the work of H. S. M. Coxeter who also labels the hypercubes the γn polytopes.[4]

The hypercube is the special case of a hyperrectangle (also called an n-orthotope).

A unit hypercube is a hypercube whose side has length one unit. Often, the hypercube whose corners (or vertices) are the 2n points in Rn with each coordinate equal to 0 or 1 is called the unit hypercube.

Construction

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By the number of dimensions

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An animation showing how to create a tesseract from a point.

A hypercube can be defined by increasing the numbers of dimensions of a shape:

0 – A point is a hypercube of dimension zero.
1 – If one moves this point one unit length, it will sweep out a line segment, which is a unit hypercube of dimension one.
2 – If one moves this line segment its length in a perpendicular direction from itself; it sweeps out a 2-dimensional square.
3 – If one moves the square one unit length in the direction perpendicular to the plane it lies on, it will generate a 3-dimensional cube.
4 – If one moves the cube one unit length into the fourth dimension, it generates a 4-dimensional unit hypercube (a unit tesseract).

This can be generalized to any number of dimensions. This process of sweeping out volumes can be formalized mathematically as a Minkowski sum: the d-dimensional hypercube is the Minkowski sum of d mutually perpendicular unit-length line segments, and is therefore an example of a zonotope.

The 1-skeleton of a hypercube is a hypercube graph.

Vertex coordinates

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Projection of a rotating tesseract.

A unit hypercube of dimension is the convex hull of all the points whose Cartesian coordinates are each equal to either or . These points are its vertices. The hypercube with these coordinates is also the cartesian product of copies of the unit interval . Another unit hypercube, centered at the origin of the ambient space, can be obtained from this one by a translation. It is the convex hull of the points whose vectors of Cartesian coordinates are

Here the symbol means that each coordinate is either equal to or to . This unit hypercube is also the cartesian product . Any unit hypercube has an edge length of and an -dimensional volume of .

The -dimensional hypercube obtained as the convex hull of the points with coordinates or, equivalently as the Cartesian product is also often considered due to the simpler form of its vertex coordinates. Its edge length is , and its -dimensional volume is .

Faces

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Every hypercube admits, as its faces, hypercubes of a lower dimension contained in its boundary. A hypercube of dimension admits facets, or faces of dimension : a (-dimensional) line segment has endpoints; a (-dimensional) square has sides or edges; a -dimensional cube has square faces; a (-dimensional) tesseract has three-dimensional cubes as its facets. The number of vertices of a hypercube of dimension is (a usual, -dimensional cube has vertices, for instance).[5]

The number of the -dimensional hypercubes (just referred to as -cubes from here on) contained in the boundary of an -cube is

,[6]     where and denotes the factorial of .

For example, the boundary of a -cube () contains cubes (-cubes), squares (-cubes), line segments (-cubes) and vertices (-cubes). This identity can be proven by a simple combinatorial argument: for each of the vertices of the hypercube, there are ways to choose a collection of edges incident to that vertex. Each of these collections defines one of the -dimensional faces incident to the considered vertex. Doing this for all the vertices of the hypercube, each of the -dimensional faces of the hypercube is counted times since it has that many vertices, and we need to divide by this number.

The number of facets of the hypercube can be used to compute the -dimensional volume of its boundary: that volume is times the volume of a -dimensional hypercube; that is, where is the length of the edges of the hypercube.

These numbers can also be generated by the linear recurrence relation.

,     with , and when , , or .

For example, extending a square via its 4 vertices adds one extra line segment (edge) per vertex. Adding the opposite square to form a cube provides line segments.

The extended f-vector for an n-cube can also be computed by expanding (concisely, (2,1)n), and reading off the coefficients of the resulting polynomial. For example, the elements of a tesseract is (2,1)4 = (4,4,1)2 = (16,32,24,8,1).

Number of -dimensional faces of a -dimensional hypercube (sequence A038207 in the OEIS)
m 0 1 2 3 4 5 6 7 8 9 10
n n-cube Names Schläfli
Coxeter
Vertex
0-face
Edge
1-face
Face
2-face
Cell
3-face

4-face

5-face

6-face

7-face

8-face

9-face

10-face
0 0-cube Point
Monon
( )

1
1 1-cube Line segment
Dion[7]
{}

2 1
2 2-cube Square
Tetragon
{4}

4 4 1
3 3-cube Cube
Hexahedron
{4,3}

8 12 6 1
4 4-cube Tesseract
Octachoron
{4,3,3}

16 32 24 8 1
5 5-cube Penteract
Deca-5-tope
{4,3,3,3}

32 80 80 40 10 1
6 6-cube Hexeract
Dodeca-6-tope
{4,3,3,3,3}

64 192 240 160 60 12 1
7 7-cube Hepteract
Tetradeca-7-tope
{4,3,3,3,3,3}

128 448 672 560 280 84 14 1
8 8-cube Octeract
Hexadeca-8-tope
{4,3,3,3,3,3,3}

256 1024 1792 1792 1120 448 112 16 1
9 9-cube Enneract
Octadeca-9-tope
{4,3,3,3,3,3,3,3}

512 2304 4608 5376 4032 2016 672 144 18 1
10 10-cube Dekeract
Icosa-10-tope
{4,3,3,3,3,3,3,3,3}

1024 5120 11520 15360 13440 8064 3360 960 180 20 1

Graphs

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An n-cube can be projected inside a regular 2n-gonal polygon by a skew orthogonal projection, shown here from the line segment to the 15-cube.

Petrie polygon Orthographic projections

Line segment

Square

Cube

Tesseract

5-cube

6-cube

7-cube

8-cube

9-cube

10-cube

11-cube

12-cube

13-cube

14-cube

15-cube
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The hypercubes are one of the few families of regular polytopes that are represented in any number of dimensions.[8]

The hypercube family is one of three regular polytope families, labeled by Coxeter as γn. The other two are the hypercube dual family, the cross-polytopes, labeled as βn, and the simplices, labeled as αn. A fourth family, the infinite tessellations of hypercubes, is labeled as δn.

Another related family of semiregular and uniform polytopes is the demihypercubes, which are constructed from hypercubes with alternate vertices deleted and simplex facets added in the gaps, labeled as n.

n-cubes can be combined with their duals (the cross-polytopes) to form compound polytopes:

Relation to (n−1)-simplices

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The graph of the n-hypercube's edges is isomorphic to the Hasse diagram of the (n−1)-simplex's face lattice. This can be seen by orienting the n-hypercube so that two opposite vertices lie vertically, corresponding to the (n−1)-simplex itself and the null polytope, respectively. Each vertex connected to the top vertex then uniquely maps to one of the (n−1)-simplex's facets (n−2 faces), and each vertex connected to those vertices maps to one of the simplex's n−3 faces, and so forth, and the vertices connected to the bottom vertex map to the simplex's vertices.

This relation may be used to generate the face lattice of an (n−1)-simplex efficiently, since face lattice enumeration algorithms applicable to general polytopes are more computationally expensive.

Generalized hypercubes

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Regular complex polytopes can be defined in complex Hilbert space called generalized hypercubes, γp
n
= p{4}2{3}...2{3}2, or ... Real solutions exist with p = 2, i.e. γ2
n
= γn = 2{4}2{3}...2{3}2 = {4,3,..,3}. For p > 2, they exist in . The facets are generalized (n−1)-cube and the vertex figure are regular simplexes.

The regular polygon perimeter seen in these orthogonal projections is called a Petrie polygon. The generalized squares (n = 2) are shown with edges outlined as red and blue alternating color p-edges, while the higher n-cubes are drawn with black outlined p-edges.

The number of m-face elements in a p-generalized n-cube are: . This is pn vertices and pn facets.[9]

Generalized hypercubes
p=2 p=3 p=4 p=5 p=6 p=7 p=8

γ2
2
= {4} =
4 vertices

γ3
2
=
9 vertices

γ4
2
=
16 vertices

γ5
2
=
25 vertices

γ6
2
=
36 vertices

γ7
2
=
49 vertices

γ8
2
=
64 vertices

γ2
3
= {4,3} =
8 vertices

γ3
3
=
27 vertices

γ4
3
=
64 vertices

γ5
3
=
125 vertices

γ6
3
=
216 vertices

γ7
3
=
343 vertices

γ8
3
=
512 vertices

γ2
4
= {4,3,3}
=
16 vertices

γ3
4
=
81 vertices

γ4
4
=
256 vertices

γ5
4
=
625 vertices

γ6
4
=
1296 vertices

γ7
4
=
2401 vertices

γ8
4
=
4096 vertices

γ2
5
= {4,3,3,3}
=
32 vertices

γ3
5
=
243 vertices

γ4
5
=
1024 vertices

γ5
5
=
3125 vertices

γ6
5
=
7776 vertices
γ7
5
=
16,807 vertices
γ8
5
=
32,768 vertices

γ2
6
= {4,3,3,3,3}
=
64 vertices

γ3
6
=
729 vertices

γ4
6
=
4096 vertices

γ5
6
=
15,625 vertices
γ6
6
=
46,656 vertices
γ7
6
=
117,649 vertices
γ8
6
=
262,144 vertices

γ2
7
= {4,3,3,3,3,3}
=
128 vertices

γ3
7
=
2187 vertices
γ4
7
=
16,384 vertices
γ5
7
=
78,125 vertices
γ6
7
=
279,936 vertices
γ7
7
=
823,543 vertices
γ8
7
=
2,097,152 vertices

γ2
8
= {4,3,3,3,3,3,3}
=
256 vertices

γ3
8
=
6561 vertices
γ4
8
=
65,536 vertices
γ5
8
=
390,625 vertices
γ6
8
=
1,679,616 vertices
γ7
8
=
5,764,801 vertices
γ8
8
=
16,777,216 vertices

Relation to exponentiation

[edit]

Any positive integer raised to another positive integer power will yield a third integer, with this third integer being a specific type of figurate number corresponding to an n-cube with a number of dimensions corresponding to the exponential. For example, the exponent 2 will yield a square number or "perfect square", which can be arranged into a square shape with a side length corresponding to that of the base. Similarly, the exponent 3 will yield a perfect cube, an integer which can be arranged into a cube shape with a side length of the base. As a result, the act of raising a number to 2 or 3 is more commonly referred to as "squaring" and "cubing", respectively. However, the names of higher-order hypercubes do not appear to be in common use for higher powers.

See also

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Notes

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References

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Revisions and contributorsEdit on WikipediaRead on Wikipedia
from Grokipedia
A hypercube, also known as an n-cube, is an n-dimensional analogue of the square (2-cube) and cube (3-cube), defined geometrically as the set of all points (x1,x2,,xn)(x_1, x_2, \dots, x_n) in n-dimensional Euclidean space Rn\mathbb{R}^n such that 0xi10 \leq x_i \leq 1 for each coordinate i=1,2,,ni = 1, 2, \dots, n. This construction represents the unit hypercube, which can also be viewed as the Cartesian product of nn unit line segments [0,1][0,1], making it a convex polytope with regular properties that extend those of lower-dimensional cubes. The vertices of an n-dimensional hypercube are the 2n2^n points where each coordinate is either 0 or 1, corresponding to the corners of the figure; for example, the 1-cube is a line segment with 2 vertices, the 2-cube is a square with 4 vertices, and the 3-cube is a cube with 8 vertices. The combinatorial structure of hypercubes is highly symmetric: an n-cube has n2n1n \cdot 2^{n-1} edges, as each of the 2n2^n vertices connects to exactly nn others differing in one coordinate. More generally, the number of k-dimensional faces (or k-cubes) in an n-cube is given by the formula (nk)2nk\binom{n}{k} 2^{n-k}, which counts the ways to choose kk dimensions to vary while fixing the others at 0 or 1. The boundary of an n-cube consists of 2n2n facets, each an (n-1)-dimensional . A notable example is the 4-dimensional hypercube, called a tesseract, which has 16 vertices, 32 edges, 24 square faces, and 8 cubic cells. Tesseracts and higher-dimensional hypercubes are challenging to visualize directly but can be projected into lower dimensions, often appearing as nested or intersecting cubes. These polytopes are fundamental in convex geometry and topology, serving as models for studying higher-dimensional spaces and their symmetries.

Fundamentals

Definition

A hypercube, also known as an n-cube, is the n-dimensional analog of a square in two dimensions and a in three dimensions. It is a embedded in n-dimensional Rn\mathbb{R}^n, formed as the of its vertices, which are all points with coordinates in the set {0,1}n\{0,1\}^n. This structure generalizes the familiar lower-dimensional cases, such as the square as the 2-cube. The edges of a hypercube connect pairs of vertices that differ in exactly one coordinate, corresponding to a of 1 between their binary representations. In , the hypercube is often denoted as QnQ_n, where the vertices represent binary strings of length n, and edges represent single-bit flips. To understand the hypercube, prerequisite concepts include polytopes, dimensions, and convexity. A is a bounded geometric figure in n-dimensional space defined by the intersection of half-spaces, generalizing polygons and polyhedra to higher dimensions. The n refers to the number of independent coordinates needed to specify points in the ambient space Rn\mathbb{R}^n. Convexity ensures that the line segment joining any two points within the hypercube lies entirely within it, making it a .

Low-Dimensional Examples

The concept of a hypercube begins with its lowest-dimensional manifestations, providing intuition for higher dimensions. The 0-cube, or zeroth-dimensional hypercube, is simply a single point with no extent in any direction, possessing 1 vertex and no edges or faces. Progressing to the 1-cube, this takes the form of a connecting two vertices at its endpoints, featuring 2 vertices and 1 edge, with no faces. In two dimensions, the 2-cube appears as , which has 4 vertices, 4 edges, and 1 square face consisting of the square itself. The familiar 3-cube, or , extends this to three dimensions with 8 vertices, 12 edges, 6 square faces, and 1 cubic cell that encloses the volume. Each of these builds upon the previous by introducing a new direction, effectively duplicating the lower-dimensional figure and connecting corresponding elements with edges or higher facets. The 4-cube, known as the , further generalizes this pattern in four dimensions, comprising 16 vertices, 32 edges, 24 square faces, 8 cubic cells, and 1 tesseractic cell. To visualize the in three-dimensional space, projections such as the are employed, where one cubic cell is represented as an outer cube, and the remaining seven cells are projected inward as smaller cubes connected by edges, preserving the topological structure. This progression illustrates how each additional dimension duplicates the (n-1)-cube and links the copies along the new axis, fostering an intuitive grasp of hypercubic geometry.

Construction

Coordinate Representation

The vertices of an n-dimensional hypercube are represented as the set of all 2n2^n points in Rn\mathbb{R}^n with coordinates (x1,x2,,xn)(x_1, x_2, \dots, x_n), where each xi{0,1}x_i \in \{0, 1\}. This binary coordinate system embeds the hypercube directly in Euclidean space, with adjacent vertices connected by edges when their coordinate vectors differ in exactly one position. The standard edge in this representation is 1, as the between adjacent vertices vv and ww satisfies vw2=(10)2=1\|v - w\|_2 = \sqrt{(1-0)^2} = 1
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