Proposition

For a character table,

  • the matrix satisfies , where ;
  • the complex conjugate of a row is a row of the character table by (possible the same);
  • the complex conjugate of a column is also a column by (possible the same);
  • (twisting) the pointwise product of a row starting with with any other row is again a row;
  • the pointwise product of any two rows is a linear combination of rows of the character table with non-negative integer coefficients.

Example. Different groups with the same character table: and .

Frobenius-Schur Indicator

Definition

Frobenius-Schur indicator is defined as , where is an irreducible character.

Remark. For compact group and its irreducible character , define where is Haar measure with in Gordon Liebeck, real representation.

Theorem

Let be an irreducible character. Then

where is called of symmetric (rep. skew-symmetric) type if it has a non-zero symmetric (rep. skew-symmetric) -invariant form.

Definition

We say that is symmetric (rep. skew-symmetric) type if admits non-zero symmetric (rep. skew-symmetric) -invariant bilinear form. A bilinear map is called a bilinear form, and is called

  • -invariant if ;
  • symmetric if ;
  • skew-symmetric if .

Remark. If has character , then is a character of . Then:

  • if is irreducible, then is irreducible as well;
  • is real-valued iff iff is self-dual.

Tensor Square

If is a vector space, then . If is basis of , then is basis of and

Define , then preserves and . Note that (rep. ) is the eigenspace of corresponding to eigenvalue (rep. ). It yields that and . Since , we can check that , and .

If , then

and so

Note that . Hence, if is self-dual, then and one of the following holds:

  • and , which will correspond to symmetric type of ;
  • and , which will correspond to skew-symmetric type of .

Lemma

Let be -module, then

  • ;
  • ;
  • .

\begin{proof} Since is finite, has finite order and so is diagonalizable for all . For a fixed and vector space , we have basis of eigenvectors of such that are corresponding eigenvalues. It follows that

Similarly, there is

and now we finish the proof. \end{proof}

Now we are ready to prove ^df16b3.

\begin{proof} Note that

      by here. \end{proof}

Exercise. Let be vector space, then is a vector space of bilinear forms on Show that . (I think it is easy, with .)

Now consider . Since , we have that is the space of symmetric bilinear forms on and is the space of skew-symmetric bilinear forms on . If is -module, then is also -module as well, by .

If is -invariant, then and so the space of -invariant bilinear form is . Recall that

and it yields that the space of -invariant bilinear form can be decomposed as the space of symmetric -invariant bilinear forms and the space of skew -invariant bilinear forms. In fact, for each , it can be written as where and . The decomposition above coincides with it and we also have names real, complex and quaternionic type for symmetric, complex and skew-symmetric.

Remark. From linear algebra, odd dimensional space cannot have a non-degenerate skew symmetric bilinear form. Hence, if is self-dual and of odd dimension, then is of symmetric type.

Example. Check for characters of and .

  • Note that these two groups have the same character table.
  • When , and and for .
  • When , and and for , where is defined here.

Complexification

Note that -dimensional complex representation is just a complexification of -dimensional real representation.

If is a -module, then is a -module. That is, if is an -basis of , then is a -basis of and usually we write that with .

Observation. if is an irreducible -module, is not always irreducible. For example, is irreducible over but reducible over .

Proposition

If is simple, then it is of symmetric type.