For equal irreducible group representations, the intertwining identity and the complex Schur's lemma give . Conjugation preserves trace, so
Since , we obtain
The preceding intertwining identity makes a homomorphism between the corresponding simple modules. By Schur's lemma, a nonzero such homomorphism would be an isomorphism. The representations are inequivalent, so this is impossible. Therefore
For , right-multiplying by gives
Make the bijective substitution , so . The sum becomes . Hence
Thus is an intertwining operator from the second group representation to the first. This is the Schur averaging of rectangular matrices construction.
In the finite-dimensional setting of the preceding part, let be a simple module. Each action map is an -module endomorphism because is commutative. The complex Schur's lemma makes every such action a scalar. Therefore every linear subspace of is an submodule; simplicity forces
Equivalently, a simple module over a commutative ring is a quotient by a maximal ideal, and a finite-dimensional field extension of is just .
The finite-dimensional context matters. If the clause is read as allowing an arbitrary commutative complex algebra, the unrestricted assertion is false: is simple as a module over itself and is infinite-dimensional over . This is simple module of a finite-dimensional commutative complex algebra. Thus the one-dimensional conclusion uses the finite-dimensional algebra context, or an alternative hypothesis such as finite dimensionality of the simple module.
For a finite-dimensional algebra, every simple module is finite-dimensional: choose ; simplicity makes , , surjective, so .
The general Schur's lemma says that a homomorphism between simple modules over any unital ring is either zero or an isomorphism. Indeed, is a submodule of and is a submodule of . If , simplicity gives and . In particular, is a division ring.
For a complex algebra and a finite-dimensional simple module , the stronger conclusion is
For , the fundamental theorem of algebra gives an eigenvalue . The endomorphism has nonzero kernel, so the general Schur's lemma forces it to be zero. Consequently a homomorphism between two such simple modules is zero if they are nonisomorphic, and their homomorphism space is one-dimensional if they are isomorphic.
With the same factors, if , then
has no negative power and extends holomorphically across . Thus its apparent singularity is a removable singularity, with extension value
For the extended quotient has a zero of order ; for the extension is nonzero.
By the finite-order zero factorizations,
with holomorphic near . Shrinking the disk if necessary, continuity ensures never vanishes there, so is holomorphic and nonzero at . Consequently
If , the exponent is , with a holomorphic nonvanishing factor. Hence
A zero of order at means that is holomorphic near and
Equivalently its Taylor series starts with the nonzero coefficient of , so
Unlike a pole, a zero is a regular point of the function itself; its reciprocal has a pole of the corresponding order.
A pole of order at has finitely many negative powers in its Laurent series, the lowest being exactly :
Equivalently,
Thus has a holomorphic extension with nonzero value at , whereas multiplying by any smaller power does not remove the singularity.
A removable singularity is an isolated singularity for which the function on the punctured disk extends to a holomorphic function on the full disk, by assigning or correcting its value at . In Laurent series terms,
The remaining power series defines the extension with value at . Conversely, a holomorphic extension has a Taylor series there, so uniqueness of the Laurent series forces all negative coefficients to vanish.
An isolated singularity at means that is holomorphic in some punctured disk , while itself is an excluded point or a point where the given function is not holomorphic. There are no other singularities arbitrarily close to . By Laurent's theorem, the function has a unique Laurent series on that punctured disk:
The negative-power terms form its principal part of a Laurent series.
Set . Direct multiplication gives
with . If were diagonalisable, then subtracting the identity in the same basis would diagonalise . A diagonal matrix whose cube is zero has every diagonal entry zero and is itself zero. Similarity would then imply , a contradiction. Hence
This proves failure directly; merely observing that it is not self-adjoint would not suffice, because non-self-adjoint matrices can still be diagonalisable.
The finite-dimensional spectral theorem says that a self-adjoint operator on a complex inner-product space has an orthonormal basis of eigenvectors and all its eigenvalues are real. Equivalently, its matrix is unitarily diagonalisable with real diagonal entries.
For , the matrix is equal to its conjugate transpose:
Thus it represents a self-adjoint operator for the standard inner product on . The theorem applies directly, proving
The adjoint operator is characterized by
For each fixed , the map is a linear functional. Part (i) gives a representing vector, which we define to be . Hence such a map exists on every vector of . Part (b) proves that this constructed map is linear.
Use the convention that the inner product is linear in its first argument, as required by the displayed representation of a linear functional. Choose an orthonormal basis , for instance by Gram-Schmidt orthogonalization. Define
For , conjugate linearity in the second argument gives
Thus
The representation is unique as well: if two vectors represent the same functional, their difference is orthogonal to every vector and therefore to itself, so it is zero.
If , then , so is singular. By the rank-nullity theorem it has a nonzero kernel vector . Thus
This is exactly the definition of an eigenvalue. Here lies in the scalar field: for the stated real vector space it is real. A nonreal root instead gives an eigenvalue of the complexified operator, by the same argument over .
To prove the sum is direct, suppose with . Fix and apply the polynomial in the linear operator
Every with is killed by one factor. On , each factor is multiplication by , giving
The scalar coefficient is nonzero because the eigenvalues are distinct. Thus for every , proving
In particular, choosing a basis in each eigenspace yields a linearly independent combined list.
A pole of order means with holomorphic near zero and . Equivalently, the principal part is finite and starts with , while for . In particular is the exact order, not merely an upper bound.
A removable singularity means that has a holomorphic extension to the full disk, assigning a finite value at zero. Equivalently its Laurent series has no negative-power terms. One direction follows by the Taylor expansion of the extension; the other by the convergent nonnegative-power series. Thus is the coefficient criterion.

Pinned article: Introduction to the OurBigBook Project

Welcome to the OurBigBook Project! Our goal is to create the perfect publishing platform for STEM subjects, and get university-level students to write the best free STEM tutorials ever.
Everyone is welcome to create an account and play with the site: ourbigbook.com/go/register. We belive that students themselves can write amazing tutorials, but teachers are welcome too. You can write about anything you want, it doesn't have to be STEM or even educational. Silly test content is very welcome and you won't be penalized in any way. Just keep it legal!
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    Figure 1.
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    Figure 5. . You can also edit articles on the Web editor without installing anything locally.
    Video 3.
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