Arun Ram
Department of Mathematics and Statistics
University of Melbourne
Parkville, VIC 3010 Australia
aram@unimelb.edu.au
and
Department of Mathematics
University of Wisconsin, Madison
Madison, WI 53706 USA
ram@math.wisc.edu
Last updates: 8 March 2010
Basic theory
Let be an algebra of matrices. Since all matrices in commute with all elements of Also, Hence
Schur's Lemma. Let and be irreducible representations of of dimensions and If is a matrix such that
then either
and , or
and if then for some
Proof.
determines a inear transformation . Since
for all we have that for all and Thus is an -module homomorphism. and are submodules of and respectively and are therefore equal to either 0 or equal to or respectively. If or then . In the remaining case is a bijection, and thus an isomorphism between and In this case we have that Thus the matrix is square and invertible. Now suppose that and let be an eigenvalue of Then the matrtix is such that The arument preceding shows that is either invertible or 0. But if is an eigenvalue of then Thus
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Suppose that is a completely decomposable representation of an algebra and that where the are nonisomorphic irreducible representations of Schur's lemma shows that the -homomorphisms from to form a vector space The multiplicity of the irreducible representation un is
Suppose that is a completely decomposable representation of an algebra and that where the are nonisomorphic irreducible representations of and let Then If we view elements of as block diagonal matrices with blocks of size for each , then by using Ex 1 and Schur's lemma we get that
Let be an -module and let be an idempotent of Then is a subspace of and the action of on is a projection from to If are orthogonal idempotents of then and are mutually orthogonal subspaces of since if for some then So
Let be an idempotent in and suppose that for every for some constant If is not minimal then where are idempotents such that Then for some constant This implies that giving that either or So is minimal.
Let be a finite dimensional algebra and suppose that is an idempotent of If is not minimal then where and are orthogonal idempotents of If any idempotent in this sum is not minimal we can decompose it into a sum of orthogonal idempotents. We continue this process until we have decomposed as a sum of minimal orthogonal idempotents. At any particular stage in this process is expresed as a sum of orthogonal idempotents, So None of the spaces is 0 since and the spacers are all mutually orthogonal. Thus, since is finite dimensional it will only take a finite number of steps to decompose into minimal idempotents. A partition of unity is a decomposition of 1 into minimal orthogonal idempotents.
Finite dimensional algebras
Let and be two bases of and let and be the associated dual bases with respect to a nondegenerate trace on Then
for some constants and Then
In matrix notation this says that the matrices and
are such that
Then, in the setting of Proposition 2.6,
This shows that the matrix
of proposition 2.6 is independent of the choice of basis.
Let be the algebra of elements of the form where is commutative and defined by is a nondegenerate trace on The regular representation of is not completely decomposable. The subspace is invariant and its complemenetary subspace is not. The trace of the regular representation is given explicitly by and is degenerate. There is no matrix representation of that has trace given by
Suppose is a finite group and that is its group algebra. The the group elements form a basis of So, using 2.7, the trace of the regular representation can be expressed in the form where 1 denotes the identity in and denotes the coefficient of in Since for each is nondegenerate. If we set then is a trace on and is the dual basis to the basis with respect to the trace.
Let be the trace of a faithful realisation of an algebra (ie for each is given by the styandard trace of where is an injective homomorphism ). Let is an ideal of Let Then for all If are the eigenvalues of then for all , where represents the -th power symmetric functions [Mac]. Since the power symmetric functions generate the ring of symmetric functions this means that the elementary symmetric functions for , [Mac] p17, 2.14. Since the characteristic polynomial of can be written in the form we get that But then the Cayley-Hamilton theorem implies that Since is injective we have that So is nilpotent. Let be an ideal of nilpotent elements and suppose that For every element and is nilpotent. This implies that is nilpotent. By noting that a matrix is nilpotent only if in Jordan block form the diagonal contains all zeros we see that Thus So can be defined as the largest ideal of nilpotent elements. Furthermore, since the regular representation of is always faitful, is equal to the set where is the trace of the regular representation of
Let be the basis and the trace of a faithful realisation of an algebra as in Ex3 and let be the Gram matrix with respect to the basis and the trace as given by 2.2 and 2.3. If is another basis of then where is the change of basis matrix from to So the rank of the Gram matrix is independent of the choice of the basis
Choose a basis of ( defined in Ex 3) and extend this basis to a basis of The Gram matrix with respect to this basis is of the form where denotes the Gram matrix on So the rank of the Gram matrix is certainly less than or equal to .
Suppose that the rows of are linearly dependent. Then for some contants not all zero, for all So This implies that This is a contradiction to the construction of the So the rows of are linearly independent.
Thus the rank of the Gram matrix is or equivalently the corank of the Gram matrix of is equal to the dimension of the radical Thus the trace of the regular representation of is nondegenerate iff
Let be an irreducible representation of an arbitrary algebra and let Denote by Note that representation is also an irreducible representation of (
for all
).
We show that is nondegenerate on ie that if , then there exists such that Since is a nonzero matrix there exists some such that Thus So there exists some such that Now is an -invariant subspace of and not 0 since Thus . So there exists some such that This shows that is not nilpotent. So So is nondegenerate on This means that for some But since by Schur's lemma where we see that
Let be a finite dimensional algebra and let denote the regular representation of The set is the same as the set , but we distinguish elements of by writing
A linear transformation of is in the centraliser of if for every element and
Let Then So acts on by right multiplication on Conversely it is easy to see that the action of right multiplication commutes with the action of left mutliplication since for all and So the centraliser algebra of the regular represnetation is the algebra of matrices determined by the action of right multiplication of elements of
Matrix units and characters
If is commutative and semisimple then all irreducible representations of are one dimensional. This is not necessarily true for algebras over fields which are not algebraically closed (since Schur's lemma takes a different form).
If is a ring with identity and denotes matrices with entries in . the ideals of are of the form where is an ideal of
If is a vector space over and is the space of -valued functions on then If is a basis of then the functions determined by for form a basis of If is a semisimple algebra isomorphic to an index set for the irreducible representations of then
and the functions the -th entry of the matrix on form a basis of The are simply the functions for an appropriate set of matrix units of Thi shows that the coordinate functions of the irreducible representations are linearly independent. Since the irreducible characters are also linearly independent.
Let be a semisimple algebra. Virtual characters are elements of the vector space consisting of the -linear span of the irreducible characters of We know that there is a one-to-one correspondence between the minimal central idempotents of and the irreducible characters of Since the minimal central idempotents of form a basis of the center of we ca define a vector space isomorphism by setting for each and extending linearly to all of
Given a nondegenerate trace on with trace vector it is more natural to define by setting Then, for since
If is a semisimple algebra isomorphic to an index set for the irreducible representations of then the right regular representation decomposes as If matrix units are given by (3.7) then So the trace of the regular representation of is given by the trace vector where for each
Let be a semisimple algebra and let be a dual basis to of with respect to the tracde of the regular representation of We can define an inner product on the space of virtual characters, Ex 4, of by The irreducible characters of are orthonormak with respect to this inner product. Nate that are characters of representations and respectively, then, by Ex4 and Theorem 3.9,
If is the character of the irreducible representation of then gives the multiplicity of in the representation as in Section 1, Ex 3.
Let be a semisimple algebra and be a non-degnerate trace on Let be a basis of and for each let denote the element of the dual basis to ith respect to the trace such that For each define By Section 2, Ex 1, the element is independent of the choice of the basis By using a set of matrix units of we get
So By 3.9
Thus the span the center of
Let be a finite group and let . Let be the trace on given by where 1 is the identity in By Ex 5 and Section 2 Ex 3 the trace vector of is given by where is the dimnesion of the irreducible representation of corresponding to
If then the element is a multiple of the sum of the elements of that are conjugate to Let be an index set of the conjugacy classes of and for each , let denote the sum of the elements in the conjugacy class indexed by . The are linearly independent elements of . Furthermore by Ex 7 they span the center of Thus must also be an index set for the irreducible representations of So we see that the irreducible representations of the group algebra of a finite group are indexed by the conjugacy classes.
Let be a finite group and let denote the conjugacy classes of Note that since for any representation of and all characters of are constant on conjugacy classes. Using theorem 3.8,
where is such that is the conjugacy class which contains the inverses of the elements in Define matrices and by and By Ex 8 these matrices are square. In matrix notation the above is but then we also have that or equivalently that
This example gives a generalisation of the preceding example. Let be a semisimple algebra and suppose that is a basis of and that there is a partition of into classes such that if and are in the same classes then for every , The fact that the characters are linearly independent implies that the number of classes must be the same as the number of irreducible characters Thus we can inbox the classes of by the elements of Assume that we have fixed such a correspondence and denote the classses of by
Let be a nondegenerate trace on and let be the Gram matrix with respect to the basis and the trace If let denote the element of the dual basis to , with respect to the trace , such that Let and recall that Then
Collecting by class size gives where denotes the value of the charactwr at elements of the class Now define a matrix with entries and let and be matrices given by and Note that all of these matrices are square. Then the above gives that So or equivalently that
Double centraliser nonsense
Let be a group and let and be two representations of . Define an action of on the vector space by for all and (see also Section 5 Ex 4). In matrix form, the representation is given by setting for each Note, however, that if we extend this action to an action of on then for a general is not equal to and is not equal to
Theorem 4.6 gives that there is a one-to-one correspondence between minimal central idempotents of and characters of irreducible representations of of appearing in the decomposition of . Let be the irreducible characters of and for each set
so that the are the dimensions of the irreducible representations of The Frobenius map is the map
Let be the trace of the action of on the representation By taking traces on each side of the isomorphism in Theorem 4.11 we have that
Let be a nondegenerate trace on , let be a basis of and for each let be the element of the dual bsis to with respect to the trace such that Then, for any the center of since, using 3.8 and 3.9,
If we apply the inverse of the Frobenius map to (4.13) we get Formula 3.13 shows that In the case that is the trace of the regular representation and
Centralisers
Let and be vector spaces. A map is bilinear if for all
The tensor product is given by a vector space and a map such that for every bilinear map there exists a linear map such that the following diagram commutes:
One constructs the tensor product as the vector space of elements with relations for all and The map is given by Using the above universal mapping property one gets easily that the tensor product is unique in the sense that any two tensor products of and are isomorphic.
If is an algebra and is a right -module (a vector space that affords an antirepresentation of ) and is a left -module them one forms the vector space as above except that we require a bilinear map to satisfy the additional condition for all Then the tensor product once again is constructed by using the vector space of elements with the relations above and the additional relation for all
Let be semisimple algebras such that is a subalgebra of Let and be index sets of the irreducible representations of and respectively, and suppose that is a complete set of matrix units of
[Bt] There exists a complete set of matrix units of that is a refinement of the in the sense that for each and each , for some set of .
Proof.
Suppose that . Let be the minimal central idempotent of such that is the minimal ideal corresponding to the block of matrices in
For each and each decompose into minimal orthogonal idempotents of (Section 1, Ex 7), Label each appearing in this sum by the element which indexes the minimal ideal of . Then Now If then the space for all Since and , we know that is not zero for any Furthermore, since the dimension of is each of the spaces is one dimensional.
For each define For each and each let be some element of Then choose such that This defines a complete set of matrix units of
Let be a finite group and let be a subgroup of Let be a set of representatives for the left cosets of in The action of on the cosets of in by left multiplication defines a representation of in This representation is a permutation representation of Let The entries of the matrix are given by where is such that
Let be a representation of Let be a basis of Then the elements where span The fourth relation in 5.1 gives that the set forms a basis of
Let and suppose that where and Then Then
Since characters are constant on conjugacy classes we have that where denotes the conjugacy class of This is an alternate proof of Theorem 5.8 for the special case of inducing from a subgroup of a group to the group
Define to be the subalgebra of the algebra consisting of the span of the elements , Then as algebras.
Let and be representations of Then the restriction of the representation to the algebra is the Kronecker product (Section 4, Ex 1)
of and Since we can view as a representation of
Let and be irreducible representations of such that appears as an irreducible component of the representation . The decomposition of the Kronecker product into irreducible representations of is given by the branching rule for Let and be the centralisers of the representations and respectively. Let be the centraliser of the representation Applying Theorem 5.9 to where and shows that the are also given by the branching rule for