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Schur's Lemma and Character Orthogonality

Statement

(Schur's Lemma) If V,WV, W are irreducible complex representations of GG and f:V→Wf: V \to W is a GG-equivariant linear map, then either f=0f = 0 or ff is an isomorphism; if V=WV = W, then f=λIf = \lambda I for some scalar λ∈C\lambda \in \mathbb{C}. (Character orthogonality) Consequently, for irreducible characters χi,χj\chi_i, \chi_j of a finite group GG, ⟨χi,χj⟩=δij\langle \chi_i, \chi_j \rangle = \delta_{ij}, where ⟨χi,χj⟩=1∣G∣∑g∈Gχi(g)χj(g)‾\langle \chi_i, \chi_j \rangle = \dfrac{1}{|G|}\sum_{g \in G} \chi_i(g)\overline{\chi_j(g)}.

Why is it true?

Schur's Lemma says irreducible representations are as rigid as possible: the only maps between them that respect the group action are either zero or invertible, and self-maps are just scalars. This rigidity is exactly what forces the orthogonality relation, which in turn gives an extremely practical tool — a dot-product test on a finite table of numbers (the character table) that instantly tells you which representations are irreducible and how any representation decomposes.

Proof sketch

Step 1 (Schur's Lemma, kernel and image). Let f:V→Wf: V \to W be GG-equivariant, i.e. f(ρV(g)v)=ρW(g)f(v)f(\rho_V(g)v) = \rho_W(g)f(v) for all g,vg,v. Then ker⁡f⊆V\ker f \subseteq V is a GG-invariant subspace (if f(v)=0f(v)=0 then f(ρV(g)v)=ρW(g)f(v)=0f(\rho_V(g)v) = \rho_W(g)f(v) = 0), and since VV is irreducible, ker⁡f\ker f is either 00 or all of VV.

Step 2 (conclude f=0f=0 or ff injective, then surjective). If ker⁡f=V\ker f = V, then f=0f = 0. Otherwise ker⁡f=0\ker f = 0, so ff is injective; the image f(V)⊆Wf(V) \subseteq W is also GG-invariant (by equivariance), and since WW is irreducible and f(V)≠0f(V) \ne 0 (as f≠0f\ne0), f(V)=Wf(V) = W, making ff bijective, hence an isomorphism.

Step 3 (V=WV=W forces f=λIf=\lambda I). Since C\mathbb{C} is algebraically closed, ff has an eigenvalue λ\lambda with eigenspace Eλ=ker⁡(f−λI)≠0E_\lambda = \ker(f-\lambda I) \ne 0. Because ff is GG-equivariant, so is f−λIf - \lambda I, so EλE_\lambda is a nonzero GG-invariant subspace of the irreducible VV, forcing Eλ=VE_\lambda = V; hence f=λIf = \lambda I.

Step 4 (orthogonality from averaging). Fix bases and let f:Vj→Vif: V_j \to V_i be an arbitrary linear map; form the equivariant map fˉ=1∣G∣∑gρi(g)fρj(g)−1\bar f = \dfrac{1}{|G|}\sum_{g} \rho_i(g) f \rho_j(g)^{-1} exactly as in Maschke's theorem. By Steps 1–3, fˉ=0\bar f = 0 if Vi≇VjV_i \not\cong V_j, and fˉ=λI\bar f = \lambda I (with λ\lambda computable via trace) if Vi=VjV_i = V_j. Choosing ff to be elementary matrix units and comparing matrix entries of fˉ\bar f on both sides of this identity yields, after summing over the diagonal to extract traces, exactly 1∣G∣∑g∈Gχi(g)χj(g)‾=δij\dfrac{1}{|G|}\sum_{g \in G} \chi_i(g)\overline{\chi_j(g)} = \delta_{ij}.

Topics that use this theorem

Step-by-step proofs

No step-by-step proof yet for this theorem.

References

  1. Jean-Pierre Serre (1977). Linear Representations of Finite Groups
  2. William Fulton, Joe Harris (1991). Representation Theory: A First Course
  3. Dennis Gaitsgory, Sam Raskin, et al. (2024). The Proof of the Geometric Langlands Conjecture · arXiv:2405.03599
  4. Gordon D. James (1978). The Representation Theory of the Symmetric Groups