Representation of Quaternion Group

is a space -dimensional over and -dimensional over .

Quaternion group is where and . Equivalently, .

Consider the representation . Note that , we have that . Since , we have that and . So there are one-dimensional representations and .

Note that , then . Define and . Then is one-dimensional representation of .

To get two dimensional representation of , consider space of quaternions . Since is a -module where is a -dimensional vector space over , the we have the following matrices (also see Pauli matrices)

Representation of Associative Algebra

Definition

Associative algebra is vector space over with binary bilinear operation . Representation of is a homomorphism satisfying .

Examples.

  • , then any is a trivial representation.
  • For an associative algebra and , is a regular representation of .
  • For a group , we get a group algebra which can be seen as a vector space. Then is a representation.
  • Direct sum of two representation or two -modules: Let and be two -module. Define . Note that this representation is composable.

Definition

Non-zero representation is called indecomposable if it is not isomorphic to a direct sum of two non-zero representations.

Remark. There exists -module which is indecomposable but not irreducible. For example, let . Then is a submodule, but is indecomposable.

Definition

Let and be two -modules, and let be a linear transformation. If the following diagram

for all , then is a homomorphism of -modules and .

Example. , . Then is a field automorphism but not homomorphism of modules.

Schur lemma

Let be two irreducible -modules. If is a homomorphism, then either or is an isomorphism. If is algebraically closed and is finite-dimensional irreducible, then for any there is such that .

Examples.

  • If is a commutative algebra and is a representation, then is a homomorphism by for any . Then by Schur lemma, and each irreducible module has dimension . Therefore, if , then the only irreducible module is and the only indecomposable module is .
  • Let . Define . Then for any polynomial , we have . It is a one-dimensional representation of .
  • If is indecomposable, then in dimension and we have .