In solid geometry, a face is a flat surface (a planar region) that forms part of the boundary of a solid object;^[1] a three-dimensional solid bounded exclusively by faces is a polyhedron. A face can be finite like a polygon or circle, or infinite like a half-plane or plane.^[2]

In more technical treatments of the geometry of polyhedra and higher-dimensional polytopes, the term is also used to mean an element of any dimension of a more general polytope (in any number of dimensions).^[3]

In elementary geometry, a face is a polygon^{[note 1]} on the boundary of a polyhedron.^[3][4] Other names for a polygonal face include polyhedron side and Euclidean plane tile.

For example, any of the six squares that bound a cube is a face of the cube. Sometimes "face" is also used to refer to the 2-dimensional features of a 4-polytope. With this meaning, the 4-dimensional tesseract has 24 square faces, each sharing two of 8 cubic cells.

Regular examples by Schläfli symbol

Polyhedron	Star polyhedron	Euclidean tiling	Hyperbolic tiling	4-polytope
{4,3}	{5/2,5}	{4,4}	{4,5}	{4,3,3}
The cube has 3 square faces per vertex.	The small stellated dodecahedron has 5 pentagrammic faces per vertex.	The square tiling in the Euclidean plane has 4 square faces per vertex.	The order-5 square tiling has 5 square faces per vertex.	The tesseract has 3 square faces per edge.

Any convex polyhedron's surface has Euler characteristic

${\displaystyle V-E+F=2,}$

where V is the number of vertices, E is the number of edges, and F is the number of faces. This equation is known as Euler's polyhedron formula. Thus the number of faces is 2 more than the excess of the number of edges over the number of vertices. For example, a cube has 12 edges and 8 vertices, and hence 6 faces.

In higher-dimensional geometry, the faces of a polytope are features of all dimensions.^[3][5][6] A face of dimension k is called a k-face. For example, the polygonal faces of an ordinary polyhedron are 2-faces. In set theory, the set of faces of a polytope includes the polytope itself and the empty set, where the empty set is for consistency given a "dimension" of −1. For any n-polytope (n-dimensional polytope), −1 ≤ k ≤ n.

For example, with this meaning, the faces of a cube comprise the cube itself (3-face), its (square) facets (2-faces), its (line segment) edges (1-faces), its (point) vertices (0-faces), and the empty set.

In some areas of mathematics, such as polyhedral combinatorics, a polytope is by definition convex. Formally, a face of a polytope P is the intersection of P with any closed halfspace whose boundary is disjoint from the interior of P.^[7] From this definition it follows that the set of faces of a polytope includes the polytope itself and the empty set.^[5][6]

In other areas of mathematics, such as the theories of abstract polytopes and star polytopes, the requirement for convexity is relaxed. Abstract theory still requires that the set of faces include the polytope itself and the empty set.

An n-dimensional simplex (line segment (n = 1), triangle (n = 2), tetrahedron (n = 3), etc.), defined by n + 1 vertices, has a face for each subset of the vertices, from the empty set up through the set of all vertices. In particular, there are 2^{n + 1} faces in total. The number of them that are k-faces, for k ∈ {−1, 0, ..., n}, is the binomial coefficient ${\displaystyle {\binom {n+1}{k+1}}}$.

There are specific names for k-faces depending on the value of k and, in some cases, how close k is to the dimensionality n of the polytope.

Vertex is the common name for a 0-face.

Edge is the common name for a 1-face.

The use of face in a context where a specific k is meant for a k-face but is not explicitly specified is commonly a 2-face.

A cell is a polyhedral element (3-face) of a 4-dimensional polytope or 3-dimensional tessellation, or higher. Cells are facets for 4-polytopes and 3-honeycombs.

Examples:

Regular examples by Schläfli symbol

4-polytopes		3-honeycombs
{4,3,3}	{5,3,3}	{4,3,4}	{5,3,4}
The tesseract has 3 cubic cells (3-faces) per edge.	The 120-cell has 3 dodecahedral cells (3-faces) per edge.	The cubic honeycomb fills Euclidean 3-space with cubes, with 4 cells (3-faces) per edge.	The order-4 dodecahedral honeycomb fills 3-dimensional hyperbolic space with dodecahedra, 4 cells (3-faces) per edge.

In higher-dimensional geometry, the facets (also called hyperfaces)^[8] of a n-polytope are the (n − 1)-faces (faces of dimension one less than the polytope itself).^[9] A polytope is bounded by its facets.

For example:

• The facets of a line segment are its 0-faces or vertices.
• The facets of a polygon are its 1-faces or edges.
• The facets of a polyhedron or plane tiling are its 2-faces.
• The facets of a 4D polytope or 3-honeycomb are its 3-faces or cells.
• The facets of a 5D polytope or 4-honeycomb are its 4-faces.

In related terminology, the (n − 2)-faces of an n-polytope are called ridges (also subfacets).^[10] A ridge is seen as the boundary between exactly two facets of a polytope or honeycomb.

For example:

• The ridges of a 2D polygon or 1D tiling are its 0-faces or vertices.
• The ridges of a 3D polyhedron or plane tiling are its 1-faces or edges.
• The ridges of a 4D polytope or 3-honeycomb are its 2-faces or simply faces.
• The ridges of a 5D polytope or 4-honeycomb are its 3-faces or cells.

The (n − 3)-faces of an n-polytope are called peaks. A peak contains a rotational axis of facets and ridges in a regular polytope or honeycomb.

For example:

• The peaks of a 3D polyhedron or plane tiling are its 0-faces or vertices.
• The peaks of a 4D polytope or 3-honeycomb are its 1-faces or edges.
• The peaks of a 5D polytope or 4-honeycomb are its 2-faces or simply faces.

Let ${\displaystyle C\subseteq V}$, where ${\displaystyle V}$ is a vector space.

A face or extreme set of ${\displaystyle C}$ is a set ${\displaystyle F\subseteq C}$ such that ${\displaystyle x,y\in C}$ and ${\displaystyle 0<\theta <1}$ and ${\displaystyle \theta x+(1-\theta )y\in F}$ implies that ${\displaystyle x,y\in F}$.^[11] That is, if a point ${\displaystyle p\in F}$ lies strictly between some points ${\displaystyle x,y\in C}$, then ${\displaystyle x,y\in F}$.

An extreme point of ${\displaystyle C}$ is a point ${\displaystyle p\in C}$ such that ${\displaystyle \{p\}}$ is a face of ${\displaystyle C}$.^[11] That is, if ${\displaystyle p}$ lies between some points ${\displaystyle x,y\in C}$, then ${\displaystyle x=y=p}$.

An exposed face of ${\displaystyle C}$ is the subset of points of ${\displaystyle C}$ where a linear functional achieves its minimum on ${\displaystyle C}$. Thus, if ${\displaystyle f}$ is a linear functional on ${\displaystyle V}$ and ${\displaystyle \alpha =\inf\{fc\ \colon c\in C\}>-\infty }$, then ${\displaystyle \{c\in C\ \colon fc=\alpha \}}$ is an exposed face of ${\displaystyle C}$.

An exposed point of ${\displaystyle C}$ is a point ${\displaystyle p\in C}$ such that ${\displaystyle \{p\}}$ is an exposed face of ${\displaystyle C}$. That is, ${\displaystyle fp>fc}$ for all ${\displaystyle c\in C\setminus \{p\}}$.

Some authors do not include ${\displaystyle C}$ and/or ${\displaystyle \varnothing }$ among the (exposed) faces. Some authors require ${\displaystyle F}$ and/or ${\displaystyle C}$ to be convex (else the boundary of a disc is a face of the disc, as well as any subset of the boundary) or closed. Some authors require the functional ${\displaystyle f}$ to be continuous in a given vector topology.

The union of extreme sets of a set ${\displaystyle C}$ is an extreme set of ${\displaystyle C}$.

An exposed face is a face. An exposed face of ${\displaystyle C}$ is convex if ${\displaystyle C}$ is convex.

If ${\displaystyle F}$ is a face of ${\displaystyle C\subseteq V}$, then ${\displaystyle E\subseteq F}$ is a face of ${\displaystyle F}$ if and only if ${\displaystyle E}$ is a face of ${\displaystyle C}$.

• Face lattice

• Narici, Lawrence; Beckenstein, Edward (2011). Topological Vector Spaces. Pure and applied mathematics (Second ed.). Boca Raton, FL: CRC Press. ISBN 978-1584888666. OCLC 144216834.

• Weisstein, Eric W. "Face". MathWorld.
• Weisstein, Eric W. "Facet". MathWorld.
• Weisstein, Eric W. "Side". MathWorld.