International
Tables for Crystallography Volume D Physical properties of crystals Edited by A. Authier © International Union of Crystallography 2013 
International Tables for Crystallography (2013). Vol. D, ch. 1.2, pp. 3546
Section 1.2.2. Point groups^{a}Institute for Theoretical Physics, University of Nijmegen, 6524 ED Nijmegen, The Netherlands 
The crystallographic point groups are treated in Volume A of International Tables for Crystallography (2005). Here we just give a brief summary of some important notions. To maintain generality, we consider the case of ndimensional point groups.
Point groups in n dimensions are subgroups of the orthogonal group O(n) in n dimensions. By definition they leave a point, the origin, invariant. They are of importance in physics because physical laws are invariant under such transformations. In this case n = 1, 2 or 3. For crystallography, the crystallographic point groups are the most relevant ones. A crystallographic point group is a subgroup of O(n) that leaves an ndimensional lattice invariant. A lattice is a collection of pointswhere the n vectors form a basis of ndimensional space. In other words, the points of the lattice can be obtained by the action of translationson the lattice origin . These translations form a lattice translation group in ndimensional space, i.e. a discrete subgroup of the group of all translations T(n) in n dimensions, generated by n linearly independent translations.
Because a crystallographic point group leaves a lattice of points invariant, (a) it is a finite group of linear transformations and (b) on a basis of the lattice it is represented by integer matrices. On the other hand, as will be shown in Section 1.2.2.2, there is for every finite group of matrices an invariant scalar product, i.e. a positive definite metric tensor left invariant by the group. If one uses this metric tensor for the definition of the scalar product, the matrices represent orthogonal transformations. Moreover, when the matrices are integer, the group of matrices can be considered to be a crystallographic point group. In this sense, every finite group of integer matrices is a crystallographic point group. Consider as an example the group of matriceswhich leaves invariant the metric tensorThe lattice points go over into lattice points and the transformation leaves the scalar product of two such vectors the same if the scalar product of the two vectors and is defined asAfter a basis transformation,the metric tensor is in standard form (see Section 1.1.2.2 ):This means that with respect to the basis , the three transformations become orthogonal matrices.
To be able to give a list of all crystallographic point groups in n dimensions it is necessary to state which point groups should be considered as different. Two point groups belong to the same geometric crystal class if they are conjugated subgroups of O(n). This means that and belong to the same class if there is an element such that , which implies that there are two orthonormal bases in the vector space related by an orthogonal transformation R such that the matrices of K for one basis are the same as those for on the second basis.
In onedimensional space, there are only two different point groups, the first consisting of the identity, the second of the numbers . These groups are isomorphic to and , respectively, where is the cyclic group of integers modulo m (also denoted by ). Both are crystallographic because their `matrices' are the integers .
In twodimensional space, the orthogonal group O(2) is the union of the subgroup SO(2), consisting of all orthogonal transformations with determinant , and the coset O(2)\SO(2), consisting of all orthogonal transformations with determinant . The group SO(2) is Abelian, and therefore all its subgroups are Abelian. The finite ones are the rotation groups denoted by n (). Every element of O(2)\SO(2) is of order two, and corresponds to a mirror line. Therefore, all the other finite point groups are (n even) or (n odd). The rotation groups are isomorphic with the cyclic groups and the others with the dihedral groups . Only the groups 1, 2, 3, 4, 6, m, , , and leave a lattice invariant and are crystallographic.
The isomorphism class of a group can be given by its generators and defining relations. For example, the elements of the group 4mm can be written as products (with generally more than two factors) of the two matriceswhich satisfy the relations , and every group whose elements are products of two generating elements with the same and not more independent relations is isomorphic. One calls the relations the defining relations. The set of generators and defining relations is not unique. In an extreme case, one can consider all elements of the group as generators, and the product rules as the defining relations.
For the twodimensional groups, the generators and defining relations are
The determination of all finite point groups in threedimensional space is more involved. A derivation can, for example, be found in Janssen (1973). The group O(3) is again the union of SO(3) and O(3)\SO(3), and in fact the direct product of SO(3) and the group generated by the inversion . One may distinguish between three different classes of finite point groups:
The list of threedimensional finite point groups is given in Table 1.2.6.1. All isomorphism classes of twodimensional point groups occur in three dimensions as well. The isomorphism classes occurring here for the first time are:The crystallographic groups among them are given in Table 1.2.6.2.
As stated in Section 1.2.1, elements of point groups act on physical properties (like tensorial properties) and on wave functions as linear operators. These linear operators therefore generally act in a different space than the threedimensional configuration space. We denote this new space by V and consider a mapping D from the point group K to the group of nonsingular linear operators in V that satisfiesIn other words D is a homomorphism from K to the group of nonsingular linear transformations on the vector space V. Such a homomorphism is called a representation of K in V. Here we only consider finitedimensional representations.
With respect to a basis () the linear transformations are given by matrices . The mapping from K to the group of nonsingular matrices GL() (for a real vector space V) or GL() (if V is complex) is called an ndimensional matrix representation of K.
If one chooses another basis for V connected to the former one by a nonsingular matrix S, the same group of operators is represented by another matrix group , which is related to by S according to (). Two such matrix representations are called equivalent. On the other hand, two such equivalent matrix representations can be considered to describe two different groups of linear operators [ and ] on the same basis. Then there is a nonsingular linear operator T such that (). In this case, the representations and are also called equivalent.
It may happen that a representation in V leaves a subspace W of V invariant. This means that for every vector and every element one has . Suppose that this subspace is of dimension . Then one can choose m basis vectors for V inside the invariant subspace. With respect to this basis, the corresponding matrix representation has elementswhere the matrices form an mdimensional matrix representation of K. In this situation, the representations and are called reducible. If there is no proper invariant subspace the representation is irreducible. If the representation is a direct sum of subspaces, each carrying an irreducible representation, the representation is called fully reducible or decomposable. In the latter case, a basis in V can be chosen such that the matrices are direct sums of matrices such that the form an irreducible matrix representation. If in (1.2.2.4) is zero and and form irreducible matrix representations, is fully reducible. For finite groups, each reducible representation is fully reducible. That means that if is reducible, there is a matrix S such thatIn this way one may proceed until all matrix representations are irreducible, i.e. do not have invariant subspaces. Then each representation can be written as a direct sumwhere the representations are all nonequivalent and the multiplicities are the numbers of times each irreducible representation occurs. The nonequivalent irreducible representations for which the multiplicity is not zero are the irreducible components of .
We first discuss two special representations. The simplest representation in onedimensional space is obtained by assigning the number 1 to all elements of K. Obviously this is a representation, called the identity or trivial representation. Another is the regular representation. To obtain this, one numbers the elements of K from 1 to the order N of the group (). For a given there is a onetoone mapping from K to itself defined by . Consider the matrix , which has in the ith column zeros except on line j, where the entry is unity. The matrix then has as only entries 0 or 1 and satisfiesThese matrices form a representation, the regular representation of K of dimension N, as one sees from
A representation in a real vector space that leaves a positive definite metric invariant can be considered on an orthonormal basis for that metric. Then the matrices satisfy[^{T} denotes transposition of the matrix: ] and the representation is orthogonal. If V is a complex vector space with positive definite metric invariant under the representation, the latter gives on an orthonormal basis matrices satisfying[ denotes Hermitian conjugation: ] and the representation is unitary. A real representation of a finite group is always equivalent with an orthogonal one, a complex representation of a finite group is always equivalent with a unitary one. As a proof of the latter statement, consider the standard Hermitian metric on V: . Then the positive definite formis invariant under the representation. To show this, take an arbitrary element . ThenWith respect to an orthonormal basis for this metric , the matrices corresponding to are unitary. The complex representation can be put into this unitary form by a basis transformation. For a real representation, the argument is fully analogous, and one obtains an orthogonal transformation.
From two representations, in and in , one can construct the sum and product representations. The sum representation acts in the direct sum space , which has elements () with and . The representation is defined byThe matrices are of dimension .
The product representation acts in the tensor space, which is the space spanned by the vectors (; ). The dimension of the tensor space is the product of the dimensions of both spaces. The action is given byFor bases () for and () for , a basis for the tensor product of spaces is given byand with respect to this basis the representation of K is given by matricesAs an example of these operations, consider
If two representations and are equivalent, there is an operator S such thatThis relation may also hold between sets of operators that are not necessarily representations. Such an operator S is called an intertwining operator. With this concept we can formulate a theorem that strictly speaking does not deal with representations but with intertwining operators: Schur's lemma.
Proposition. Let M and N be two sets of nonsingular linear transformations in spaces V (dimension n) and W (dimension m), respectively. Suppose that both sets are irreducible (the only invariant subspaces are the full space and the origin). Let S be a linear transformation from V to W such that . Then either S is the null operator or S is nonsingular and .
Proof: Consider the image of V under S: . That means that for all . This implies that . Therefore, is an invariant subspace of W under N. Because N is irreducible, either or . In the first case, S is the null operator. In the second case, notice that the kernel of S, the subspace of V mapped on the null vector of W, is an invariant subspace of V under M: if then . Again, because of the irreducibility, either is the whole of V, and then S is again the null operator, or . In the latter case, S is a onetoone mapping and therefore nonsingular. Therefore, either S is the null operator or it is an isomorphism between the vector spaces V and W, which are then both of dimension n. With respect to bases in the two spaces, the operator S corresponds to a nonsingular matrix and .
This is a very fundamental theorem. Consequences of the theorem are:
Suppose a group K acts linearly on a ddimensional space V: for any one hasFor a basis in V this gives a matrix group viaThe matrix group is a matrix representation of the group K.
Consider now a linear function f on V. Becausethe function is completely determined by its value on the basis vectors . A second point is that these linear functions form a vector space because for two functions and the function is a well defined linear function. The vector space is called the dual space and is denoted by . A basis for this space is given by functions such thatbecause any linear function f can be written as a linear combination of these vectors with as coefficients the value of f on the basis vectors :Therefore, the space also has d dimensions. If V has in addition a nonsingular scalar product, there is for each linear function f a vector such thatand the vectors corresponding to the basis functions above satisfyThe vectors (with ) form the reciprocal basis (see also Section 1.1.2.4 ).
The transformation properties of the vectors in dual (or reciprocal) space can be derived from those of the vectors in V if one putsThenfrom which follows the relationThe matrices form also a representation of K, the contragredient representation. In general, the latter is not equivalent with the former. The elements of the space are dual vectors.
One can generalize the procedure that gave the dual space, and this leads to a more abstract definition of a tensor. Consider a bilinear function on V.Again, such bilinear functions form a vector space of dimension . Any function is fixed by its value on the pairs of basis vectors, and these values are the coefficients of the function on a basisOne hasAnalogously to the former case, one can determine the transformation properties of the elements of the tensor space :The space carries the product representation of the contragredient representation with itself.
That this is really the same concept of tensor as usually used in physics can be seen from the example of the dielectric tensor . For an electric field , the energy is given by and this is a bilinear function .
The most general situation occurs if one considers all multilinear functions of p vectors and q dual vectors. The functionis linear in each of its arguments. Again, the function is determined by its value on the basis vectors of V and of . The ()linear functions form a vector space with basis vectors given byThe dimensional space carries a representation of the group K:Therefore, the space of () tensors carries a representation which is the tensor product of the pth tensor power of and the qth tensor power of the contragredient representation .
If the () tensor ) is symmetric in its arguments, the space of such tensors carries the symmetrized tensor product of the representation with itself. Similarly the (anti)symmetric () tensors form a space that carries the symmetrized, respectively antisymmetrized, tensor product of with itself. This can be generalized to () tensors with all kinds of symmetry. One can have a () tensor that is symmetric in all its four arguments. Such tensors form a space that not only carries a representation of K, but one of the symmetric group (the permutation group on four letters) as well. We shall come back to such symmetric tensors in Section 1.2.2.7.
Important consequences from symmetry for physical systems are related to orthogonality relations. The vanishing of matrix elements is one example. Consider two irreducible representations and of dimensions and , respectively. Then take an arbitrary matrix M and construct with this a new matrix S:For this matrix one hasBecause and are supposed to be irreducible, it follows from Schur's lemma that either and are not equivalent and S is the null matrix, or they are equivalent. If they are not equivalent one hasBecause we have taken an arbitrary matrix M, this implies thatwhenever and are not equivalent.
When the two irreducible representations are equivalent we assume them to be identical. Then S commutes with all matrices of an irreducible representation and is thus a multiple of the identity (in case one considers complex representations). Its trace is then if the dimension of the representation is denoted by d, but on the other hand it isTherefore,HenceThis leads to the following proposition.
Proposition. If and are irreducible complex representations of the finite group K one haswhere is zero if the representations are not equivalent, unity if they are identical and undefined if they are equivalent but not identical.
For unitary representations the orthogonality relations can be written asAccording to Section 1.2.2.2 for finite groups K, there is always an equivalent unitary representation.
Two equivalent representations of a group K are conjugate subgroups in the group of nonsingular linear transformations. Corresponding matrices therefore have the same invariants. It is a remarkable fact that one of these invariants suffices for characterizing the equivalence class of a representation, namely the trace. The character of an element in a representation is the trace . It is a complex function on the group: for every there is a complex number .
The character only depends on the conjugacy class: if two elements R and belong to the same class there is an element such that . Hence . Notice that for the identity element one has the ddimensional unit matrix and . For the same reason, the character for two equivalent representations is the same.
From the orthogonality relations for the matrix elements of two irreducible representations follow those for characters.
Proposition. For two irreducible complex representations of a finite group K, one hasHere one can use the Kronecker delta because characters of equivalent representations are equal, even if they are not identical.
The character of the sum of two representations is the sum of the characters. More generally, the character of the sum of irreducible representations , each with multiplicity , isThis gives a formula for the multiplicity of an irreducible component:
From the expression for the multiplicities follows:
Proposition. The representations and are equivalent if and only if their characters are the same: . Two equivalent representations obviously have the same character. Nonequivalent irreducible representations have different characters because of the orthogonality relations and the multiplicities and irreducible components are uniquely determined by the formula (1.2.2.30).
Because the character is constant on a conjugacy class, (1.2.2.30) can also be written aswhere denotes the ith conjugacy class () and the number of its elements.
Proof: For a representation that is equivalent to the sum of irreducible representations with multiplicities one hasIf the representation is irreducible, there is exactly one value of for which , whereas all other multiplicities vanish. If the representation is reducible, .
Proposition. (Burnside's theorem.) The sum of the squares of the dimensions of all nonequivalent irreducible representations is equal to the order of the group.
Proof: Consider the regular representation. The value of its character in an element R is given by the number of elements for which . Therefore,The multiplicity formula (1.2.2.30) then givesEach irreducible representation occurs in the regular representation with a multiplicity equal to its dimension. Therefore,
Proposition. The number of nonequivalent irreducible representations of a finite group K is equal to the number of its conjugacy classes.
Proof: Take from each equivalence class of irreducible representations of K one unitary representative . The matrix elements are complex functions on the group. The number of these functions is the sum over of and that is equal to the order of the group according to Burnside's theorem. The number of independent functions on K is, of course, also equal to the order N of the group. If one considers the usual scalar product of functions on the group,the scalar product of two of the N functions isaccording to the orthogonality relations. This means that the N functions indeed form an orthogonal basis in the space of all functions on the group. In particular, consider a function that is constant on conjugacy classes. This function can be expanded in the basis functions.This implies that every class function can be written as a linear combination of the character functions. Therefore, the number of such character functions must be equal to or larger than the number of conjugacy classes. On the other hand, the number of dimensions of the space of class functions is k, the number of conjugacy classes. For the scalar product in this space given bythe character functions are orthogonal:There are at most k mutually orthogonal functions, and consequently the number of nonequivalent irreducible characters is exactly equal to the number of conjugacy classes.
As additional result one has the following proposition.
Proposition. The functions with and form an orthogonal basis in the space of complex functions on the group K. The characters form an orthogonal basis for the space of all class functions.
The characters of a group K can be combined into a square matrix, the character table, with entries . Besides the orthogonality relations mentioned above, there are also relations connected with class multiplication constants. Consider the conjugacy classes of the group K. Formally one can introduce the sum of all elements of a class:It can be proven that the multiplication of two such class sums is the sum of class sums, where such a class sum may occur more than once:The coefficients are called the class multiplication constants. The elements of the character table then have the following properties.
As an example, consider the permutation group on three letters . It consists of six permutations. It is a group that is isomorphic with the point group 32. The character table is a array, because there are three conjugacy classes (, ), and consequently three irreducible representations (, ) (see Table 1.2.2.1).

The two onedimensional representations are equal to their character. A representative representation for the third character is generated by matricesand the group of matrices is equivalent to an orthogonal group with generatorsThe character table is in agreement with the class multiplication table
For the irreducible representations of the point groups, it is necessary to know something about the structure of these groups. Since the representations of isomorphic groups are the same, one can restrict oneself to representatives of the isomorphism classes. In the following, we give a brief description of the structure of the point groups in spaces up to three dimensions. The character tables are given in Section 1.2.6. For the infinite series of groups ( and ), the crystallographic members are given explicitly separately.
In general, if K and H are finite groups with irreducible representations and , the outer tensor product acts on the tensor product of representation spaces as With the irreducibility criterion, one checks that this is an irreducible representation of . Moreover, is equivalent with if and only if and . This means that one obtains all nonequivalent irreducible representations of from the outer tensor products of the irreducible representations of K and H. If the group H is , there are two irreducible representations of , both onedimensional. That means that the tensor product simplifies to a normal product. If and is the trivial representation, one has from (1.2.2.38)The letters g and u come from the German gerade (even) and ungerade (odd). They indicate the sign of the operator associated with the generator A of : for g representations, for u representations. The number of nonequivalent irreducible representations of is twice that of K.
Schur's lemma and the orthogonality relations and theorems derived above are formulated for complex representations and are, generally, not valid for integer or real representations. Nevertheless, many physical properties can be described using representation theory, but being real quantities they sometimes require a slightly different treatment. Here we shall discuss the relation between the complex representations and physical or real representations. Consider a real matrix representation . If it is reducible over complex numbers, it can be fully reduced. When is an irreducible component itself real? A first condition is clearly that its character is real. This is, however, not sufficient. A real representation can by a complex basis transformation be put into a complex form and such a transformation does not change the character. Therefore, a better question is: which complex irreducible representations can be brought into real form? Consider a complex irreducible representation with a real character. Then it is equivalent with its complex conjugate via a matrix S:Here one has to distinguish two different cases. To make the distinction between the two cases one has the following:
Proposition. Suppose that is a complex irreducible representation with real character, and S a matrix intertwining and its complex conjugate. Then S satisfies either or . In the former case, there exists a basis transformation that brings into real form, in the latter case there is no such basis transformation.
Proposition. If is a complex irreducible representation with real character , the latter satisfies If the righthand side is , the representation can be put into real form, if it is it cannot. (Proofs are given in Section 1.2.5.5.)
Consequently, a complex irreducible representation is equivalent with a real one if and . If that is not the case, a real representation containing as irreducible component is the matrix representationThe basis transformation is given by The dimension of the physically irreducible representation is 2d, if d is the dimension of the complex irreducible representation . In summary, there are three types of irreducible representation:
Examples of the three cases:
All complex irreducible representations of the finite point groups in up to three dimensions with real character can be put into a real form. This is not true for higher dimensions, as we have seen in the example of the quaternion group.
When are linear vector spaces, one may construct tensor products of these spaces. There are many examples in physics where this notion plays a role. Take the example of a particle with spin. The wave function of the particle has two components, one in the usual threedimensional space and one in spin space. The proper way to describe this situation is via the tensor product. In normal space, a basis is formed by spherical harmonics , in spin space by the states . Spin–orbit interaction then plays in the dimensional space with basis . Another example is a physical tensor, e.g. the dielectric tensor of rank 2. It is a symmetric tensor that transforms under orthogonal transformations exactly like a symmetric bivector with components , where and () are the components of vectors and . A basis for the space of symmetric bivectors is given by the six vectors () (). The space of symmetric rank 2 tensors has the same transformation properties.
A basis for the tensor space is given by , where ; ; ; . Therefore the dimension of the tensor product is the product of the dimensions of the spaces (see also Section 1.1.3.1.2 ). The tensor space consists of all linear combinations with real or complex coefficients of the basis vectors. In the summation one has the multilinear property In many cases in practice, the spaces are all identical and then the dimension of the tensor product is simply .
The tensor product of n identical spaces carries in an obvious way a representation of the permutation group of n elements. A permutation of n elements is always the product of pair exchanges. The action of the permutation (12), that interchanges spaces 1 and 2, is given by Two subspaces are then of particular interest, that of the tensors that are invariant under all elements of and those that get a minus sign under pair exchanges. These spaces are the spaces of fully symmetric and antisymmetric tensors, respectively.
If the spaces carry a representation of a finite group K, the tensor product space carries the product representation. The matrix of the tensor representation is the tensor product of the matrices . In general, this representation is reducible, even if the representations are irreducible. The special case of has already been discussed in Section 1.2.2.3.
From the definition of the action of on vectors in the tensor product space, it is easily seen that the character of R in the tensor product representation is the product of the characters of R in the representations :The reduction in irreducible components then occurs with the multiplicity formula.If the tensor product representation is a real representation, the physically irreducible components can be found by first determining the complex irreducible components, and then combining with their complex conjugates the components that cannot be brought into real form.
The tensor product of the representation space V with itself has a basis (). The permutation (12) transforms this into . This action of the permutation becomes diagonal if one takes as basis (, spanning the space ) and (, spanning the space ). If one considers the action of K, one has with respect to the first basis if V carries the representation with character . With respect to the second basis, one sees that the character of the permutation is given by . The action of the element on the second basis is This implies that both and are invariant under R. The character in the subspace is for the symmetric subspace and for the antisymmetric one. Consequently one has
For , the tensor product space does not carry just a symmetric and an antisymmetric subspace, but also higherdimensional representations of the permutation group . The derivation of the character of the fully symmetric and fully antisymmetric subspaces remains rather similar. The formulae for the character of the representation of K carried by the fully symmetric () and fully antisymmetric (−) subspace, respectively, for are From this follows immediately the dimension of the two subspaces:These expressions are based on Young diagrams. The procedure will be exemplified for the case of . In the expression for occur the partitions of n in groups of integers: . Each partition corresponds with a Young diagram with as many rows as there are terms in the sum, and in each row the corresponding number of boxes. The total number of boxes is n. Each partition corresponds with a term such that . Here is the number of boxes in the first row etc. The prefactor then is the number of possible permutations compatible with the partition. For example, the partition allows the permutationsThe sign of all these permutations is even: they are the product of an even number of pair interchanges. The prefactor for the term is then .
It is useful to consider a more general type of representation, one that gives only a homomorphism from a group to linear transformations up to a factor. In quantum mechanics, the relevance of such representations is a consequence of the freedom of the phase of the wave function, but they also occur in classical physics. In particular, we shall need this generalized concept for the determination of representations of crystallographic space groups.
A projective representation of a group K is a mapping from K to the group of nonsingular linear transformations of a vector space V such that where is a nonzero real or complex number. The name stems from the fact that the mapping is a homomorphism if one identifies linear transformations that differ by a factor. Then one looks at the transformations of the lines through the origin, and these form a projective space. Other names are multiplier or ray representations. The mapping from to the real or complex numbers is called the factor system of the projective representation. An ordinary representation is a projective representation with a trivial factor system that has only the value unity. A projective representation that can be identified with is one with for some real or complex function u on the group. It gives the same transformations of projective space. The projective representations and are called associated. Their factor systems are related by as one can check easily. Two factor systems that are related in this way are also called associated.
Not every mapping complex numbers can be considered as a factor system. There is the following proposition:
Proposition. A mapping from to the complex numbers can occur as factor system for a projective representation if and only if one has
If one has two mappings and satisfying this relation, the product also satisfies the relation. Therefore, factor systems form an Abelian multiplicative group. A subgroup is formed by all factor systems that are associated with the trivial one: for some function u on the group. These form another Abelian group and the factor group consists of all essentially different factor systems. This factor group is called Schur's multiplicator group.
A projective representation is called reducible if there is a proper invariant subspace. It is fully reducible if there is a basis on which the representation matrices form the direct sum of two representations. This is exactly as for ordinary representations. Equivalence of projective representations is slightly more subtle. Two projective representations are called associated if their factor systems are associated. They are weakly equivalent if there is a complex function on the group and a nonsingular linear transformation S such that This implies that their factor systems are associated. Two projective representations are strongly equivalent if their factor systems are identical and there exists a nonsingular linear transformation S such that . Therefore, strong equivalence implies weak equivalence, which in turn implies association. The reason for this distinction will soon become clear.
For projective representations with identical factor systems there exist orthogonality relations for matrix elements and for characters. It is important to notice that for projective representations the character is generally not a class function, because one can multiply every operator with a separate constant.
Proposition. For given factor system there is a finite number r of strong equivalence classes of irreducible projective representations. The dimensions of the nonequivalent irreducible representations satisfy
Proposition. For two irreducible projective matrix representations with the same factor system, the following holds:
Notice that, in general, for projective representations ! Every projective representation of a finite group is strongly equivalent with a unitary representation, for which one has and for the characters
For projective representations with the same factor system, one can construct the sum representation, which still has the same factor system: . On the other hand, a reducible projective representation can be decomposed into irreducible components with the same factor system and multiplicities as follows directly from the orthogonality conditions.
Projective representations of a group K may be constructed from the ordinary representations of a larger group R. Suppose that R has a subgroup A in the centre, which means that all its elements commute with all elements of R. Suppose furthermore that the factor group is isomorphic with K. Therefore, the order of R is the product of the orders of A and K. Because K is the factor group, each element of R corresponds to a unique element of K and the elements of the subgroup A correspond to the unit element in K. Then consider an irreducible representation D of R. For two elements and of R there are elements and in K. Define linear operators . Then corresponds to up to an element . This means Because a commutes with all elements of R, the operator commutes with all the operators of the irreducible representation . From Schur's lemma it follows that it is a multiple of the unit operator. Moreover, this multiple depends on and : . Therefore, an irreducible representation of R gives a projective representation of K. It has been shown by Schur that one obtains all projective representations of K, i.e. one representative from each strong equivalence class for each class of nonassociated factor systems, in the way presented if one takes for the group A the multiplicator group. The way to find all projective representations of K is then: determine the multiplicator group, determine R, determine the ordinary irreducible representations of R. We shall not go into detail, but only present a way to characterize projective representations (Janssen, 1973).
First we consider an example, the group , isomorphic to . It can be shown that the multiplicator group is the group of two elements. Therefore, the representation group R has eight elements and one can show that it is isomorphic to or to the quaternion group (in general there is not a unique R). The character table of is given in Table 1.2.2.2.

The centre is generated by . If the elements of the factor group are e, a, b and , then E and correspond to e, A and to a, B and to b, and and to . Because is represented by the unit element for the four onedimensional representations, each element of the factor group corresponds to a unique element of the representation. can be chosen to be or , but because for the onedimensional representations these are equal. Therefore, the onedimensional representations of have a trivial factor system. For the twodimensional representation one may choose It is easily checked that this forms a projective representation with a nontrivial factor system. One can characterize the projective representation starting from the defining relations . One has , , . It is easily seen that one cannot achieve a trivial factor system by multiplication of the P matrices by suitably chosen factors. Therefore, the factor system is not associated with the trivial one either. This is the general situation. The ordinary representations of R can be partitioned into groups, each group corresponding with one class of associated factor systems, and within each group one finds representatives of each strong equivalence class. For the example above, there is only one such class for the nontrivial factor system as one sees from .
The general procedure then is to characterize a factor system with expressions stemming from defining relations for the group K. Defining relations are expressions (words) in the generators that fix the isomorphism class of the group. They are of the form if the are the generators. For a projective representation the corresponding product is a multiple of the identity operator. The defining relations are not unique for a group. Therefore, there is arbitrariness here. The complex numbers that correspond to the defining relations may be changed by multiplying the operators by factors . This changes the factor system to an associated one. If in a table the factor systems are given by the numbers , one can identify the class of a given factor system by calculating the corresponding words and solving the problem of finding the table values by taking into account additional factors . For example, the factor system that gives the values of for above is associated with one that gives , if one multiplies by i.
Threedimensional rotation point groups are subgroups of SO(3). In quantum mechanics, rotations act according to some representation of SO(3). Because wave functions can be multiplied by an arbitrary phase factor, in principle projective representations play a role here. The projective representations of SO(3) can be obtained from the ordinary representations of the representation group, which is SU(2), the group of all matrices For example, in spin space for a particle with spin ½, a rotation over along the z axis acts according to and in general the representation for a rotation over along an axis is where is a vector with the three Pauli spin matrices as components. Because the matrices for become , the representation has a nontrivial factor system. As a representation of SU(2), however, it is an ordinary representation.
To each rotation correspond two elements . To a point group corresponds a subset of SU(2) which is in fact a subgroup, because . This group is the double group . It contains both E and , which are both mapped to the unit element of SO(3) under the homomorphism SU(2) SO(3). Because commute with all elements of , this group is an invariant subgroup and the factor group is isomorphic to K. Therefore, every representation of K is a representation of , but in general there are other representations as well, the extra representations. Notice that the double group of K does not only depend on the isomorphism class of K, but also on the geometric class, because the realization as subgroup of O(3) comes in.
As an example, we take the group . The two generators and correspond, respectively, to the matrices These matrices generate a group of order eight, which can also be presented by This group is isomorphic with , a group with five irreducible representations: four onedimensional and one twodimensional. The former are the four ordinary representations of because both E and are represented by the unit matrix. The twodimensional representation has and is, therefore, not an ordinary representation for 222. It is an extra representation for the double group , or a projective representation of 222. Choosing one element from SU(2) for each generator of 222 one obtains The factor system fixed in this way is not associated to a trivial one (otherwise the irreducible representation could not be twodimensional). The extra representation of the double group corresponds to a nontrivial projective representation of the point group itself.
To construct the character table of the double group, it is worthwhile to note that the elements of mapped on one class of K form two classes, except when the class in K consists of 180° rotations and there exists for one element of this class another 180° rotation in K with its axis perpendicular to that of the former element. The example above illustrates this: there are four classes in and five classes in . The identity in K corresponds to in , and these form two classes. The other pairs , and are mapped each on one class. This is, however, not the most general case. only belong to the same class if there is an element such that . If one brings into diagonal form, one sees that this is only possible if the diagonal elements are , i.e. when the rotation angle of R is . In this case one has thenwhich is a twofold rotation with axis perpendicular to the z axis. Therefore, in general, if a class in K of 180° rotations does not exist or if there is not a perpendicular 180° rotation, the class in K corresponds to two classes in .
As a second example, we consider the group of order six. It is generated by a threefold rotation along the z axis and a twofold rotation perpendicular to the first one. Corresponding elements of SU(2) are The group generated by these elements is of order 12 with six classes: E, , (), (), () and (), which are mapped on the three classes of . Therefore, there are six irreducible representations for : four onedimensional ones and two twodimensional ones. Two onedimensional and one twodimensional representations are the ordinary representations of K, the other ones are extra representations and have . As projective representations of , they are associated with ordinary representations: for the onedimensional ones this is obvious; for the twodimensional one, generated by A and B, one can find an associated one , such that and, consequently, this representation has a trivial factor system. This shows that, although 32^{d} has three extra representations, there are no nontrivial projective representations.
The characters for the double point groups are given in Table 1.2.6.7.
References
International Tables for Crystallography (2005). Vol. A. SpaceGroup Symmetry, edited by Th. Hahn. Heidelberg: Springer.Janssen, T. (1973). Crystallographic Groups. Amsterdam: NorthHolland.