Number of faces Polyhedra may be classified and are often named according to the number of faces. The naming system is based on Classical Greek, and combines a prefix counting the faces with the suffix "hedron", meaning "base" or "seat" and referring to the faces. For example a
tetrahedron is a polyhedron with four faces, a
pentahedron is a polyhedron with five faces, a
hexahedron is a polyhedron with six faces, etc. For a complete list of the Greek numeral prefixes see , in the column for Greek cardinal numbers. The names of tetrahedra, hexahedra, octahedra (eight-sided polyhedra), dodecahedra (twelve-sided polyhedra), and icosahedra (twenty-sided polyhedra) are sometimes used without additional qualification to refer to the
Platonic solids, and sometimes used to refer more generally to polyhedra with the given number of sides without any assumption of symmetry.
Topological classification , a non-orientable self-intersecting polyhedron with four triangular faces (red) and three square faces (yellow). As with a
Möbius strip or
Klein bottle, a continuous path along the surface of this polyhedron can reach the point on the opposite side of the surface from its starting point, making it impossible to separate the surface into an inside and an outside. (Topologically, this polyhedron is a
real projective plane.) Some polyhedra have two distinct sides to their surface. For example, the inside and outside of a convex polyhedron paper model can each be given a different colour (although the inside colour will be hidden from view). These polyhedra are
orientable. The same is true for non-convex polyhedra without self-crossings. Some non-convex self-crossing polyhedra can be coloured in the same way but have regions turned "inside out" so that both colours appear on the outside in different places; these are still considered to be orientable. However, for some other self-crossing polyhedra with simple-polygon faces, such as the
tetrahemihexahedron, it is not possible to colour the two sides of each face with two different colours so that adjacent faces have consistent colours. In this case the polyhedron is said to be non-orientable. For polyhedra with self-crossing faces, it may not be clear what it means for adjacent faces to be consistently coloured, but for these polyhedra it is still possible to determine whether it is orientable or non-orientable by considering a topological
cell complex with the same incidences between its vertices, edges, and faces. A more subtle distinction between polyhedron surfaces is given by their
Euler characteristic, which combines the numbers of vertices V, edges E, and faces F of a polyhedron into a single number \chi defined by the formula :\chi=V-E+F.\ The same formula is also used for the Euler characteristic of other kinds of topological surfaces. It is an invariant of the surface, meaning that when a single surface is subdivided into vertices, edges, and faces in more than one way, the Euler characteristic will be the same for these subdivisions. For a convex polyhedron, or more generally any simply connected polyhedron with the surface of a topological sphere, it always equals 2. For more complicated shapes, the Euler characteristic relates to the number of
toroidal holes, handles or
cross-caps in the surface and will be less than 2. All polyhedra with odd-numbered Euler characteristics are non-orientable. A given figure with even Euler characteristic may or may not be orientable. For example, the one-holed
toroid and the
Klein bottle both have \chi = 0, with the first being orientable and the other not. A notable example is the
Szilassi polyhedron, which geometrically realizes the
Heawood map. A polyhedron with the symmetries of a regular polyhedron and with genus more than one is a
Leonardo polyhedron.
Duality For every convex polyhedron, there exists a dual polyhedron having • faces in place of the original's vertices and vice versa, and • the same number of edges. The dual of a convex polyhedron can be obtained by the process of
polar reciprocation. Dual polyhedra exist in pairs, and the dual of a dual is just the original polyhedron again. Some polyhedra are self-dual, meaning that the dual of the polyhedron is congruent to the original polyhedron. Abstract polyhedra also have duals, obtained by reversing the
partial order defining the polyhedron to obtain its
dual or opposite order. but other polyhedra may not have a plane through these points. For convex polyhedra, and more generally for polyhedra whose vertices are in
convex position, this slice can be chosen as any plane separating the vertex from the other vertices. When the polyhedron has a center of symmetry, it is standard to choose this plane to be perpendicular to the line through the given vertex and the center; with this choice, the shape of the vertex figure is determined up to scaling. When the vertices of a polyhedron are not in convex position, there will not always be a plane separating each vertex from the rest. In this case, it is common instead to slice the polyhedron by a small sphere centered at the vertex. Again, this produces a shape for the vertex figure that is invariant up to scaling. All of these choices lead to vertex figures with the same combinatorial structure, for the polyhedra to which they can be applied, but they may give them different geometric shapes.
Surface area and lines inside polyhedra The
surface area of a polyhedron is the sum of the areas of its faces, for definitions of polyhedra for which the area of a face is well-defined. The
geodesic distance between any two points on the surface of a polyhedron measures the length of the shortest curve that connects the two points, remaining within the surface. By
Alexandrov's uniqueness theorem, every convex polyhedron is uniquely determined by the
metric space of geodesic distances on its surface. However, non-convex polyhedra can have the same surface distances as each other, or the same as certain convex polyhedra. When a line segment connect two vertices that are not in the same face, it forms a
diagonal line of the polyhedron. Not all polyhedra have diagonal lines, as in the family of
pyramids. The
Schönhardt polyhedron has three diagonal lines, all of which lie entirely outside of it, and the
Császár polyhedron has no diagonal lines (rather, every pair of vertices is connected by an edge).
Volume Polyhedral solids have an associated quantity called
volume that measures how much space they occupy. Simple families of solids may have simple formulas for their volumes; for example, the volumes of pyramids, prisms, and
parallelepipeds can easily be expressed in terms of their edge lengths or other coordinates. (See
Volume § Volume formulas for a list that includes many of these formulas.) Volumes of more complicated polyhedra may not have simple formulas. The volumes of such polyhedra may be computed by subdividing the polyhedron into smaller pieces (for example, by
triangulation). For example, the
volume of a Platonic solid can be computed by dividing it into congruent
pyramids, with each pyramid having a face of the polyhedron as its base and the centre of the polyhedron as its apex. In general, it can be derived from the
divergence theorem that the volume of a polyhedral solid is given by \frac{1}{3} \left| \sum_F (Q_F \cdot N_F) \operatorname{area}(F) \right|, where the sum is over faces F of the polyhedron, Q_F is an arbitrary point on face F , N_F is the
unit vector perpendicular to F pointing outside the solid, and the multiplication dot is the
dot product. In higher dimensions, volume computation may be challenging, in part because of the difficulty of listing the faces of a convex polyhedron specified only by its vertices, and there exist specialized
algorithms to determine the volume in these cases.
Dehn invariant In two dimensions, the
Bolyai–Gerwien theorem asserts that any polygon may be transformed into any other polygon of the same area by
cutting it up into finitely many polygonal pieces and rearranging them. The analogous question for polyhedra was the subject of
Hilbert's third problem.
Max Dehn solved this problem by showing that, unlike in the 2-D case, there exist polyhedra of the same volume that cannot be cut into smaller polyhedra and reassembled into each other. To prove this Dehn discovered another value associated with a polyhedron, the
Dehn invariant, such that two polyhedra can only be dissected into each other when they have the same volume and the same Dehn invariant. It was later proven by Sydler that this is the only obstacle to dissection: every two Euclidean polyhedra with the same volumes and Dehn invariants can be cut up and reassembled into each other. The Dehn invariant is not a number, but a
vector in an infinite-dimensional vector space, determined from the lengths and
dihedral angles of a polyhedron's edges. Another of Hilbert's problems,
Hilbert's eighteenth problem, concerns (among other things) polyhedra that
tile space. Every such polyhedron must have Dehn invariant zero. The Dehn invariant has also been connected to
flexible polyhedra by the strong bellows theorem, which states that the Dehn invariant of any flexible polyhedron remains invariant as it flexes.
Net The faces of some polyhedra can be unfolded into an arrangement of non-overlapping
edge-joined polygons in the plane. Such an arrangement is known as a
net of the polyhedron. Nets can be used to construct
polyhedron models from paper or other flexible materials. == Symmetries ==