Alphabeta Math
LemmaStatement: Literature-sourcedProof: AI-adaptedPipeline-generated
How statement and proof provenance work

The first chip identifies the source of the statement or construction; the second identifies the source of its local proof or verification.

  • Literature-sourced: the exact statement appears in a cited source; only wording and notation differ.
  • AI-adapted: a semantically identical restatement of literature-sourced material, modulo indexing, notation, and boundary cases adopted by the library.
  • AI-generated: a genuinely novel statement formulated by AI, with no source for the claim itself.

These labels describe origin, not correctness: citations and verification chips remain separate evidence.

Direct sums and tensor products of finite-dimensional unitary representations

Statement

Let K be a topological group and let π1,π2 be finite-dimensional continuous unitary representations of K on complex Hilbert spaces V1,V2, of dimensions d1,d2.

  1. The direct sum π1⊕π2 on V1⊕V2 is a continuous unitary representation of dimension d1+d2, and c(v1,v2),(w1,w2)π1⊕π2=cv1,w1π1+cv2,w2π2 for all vectors.
  2. The tensor product π1⊗π2 on the algebraic tensor product V1⊗CV2 with the action of The tensor product of two complex representations carries a unique inner product with ⟨v1⊗v2,w1⊗w2⟩=⟨v1,w1⟩V1⟨v2,w2⟩V2 on elementary tensors (Universal property of the tensor product for balanced maps into abelian groups), making it a finite-dimensional Hilbert space of dimension d1d2 on which π1⊗π2 is a continuous unitary representation, and cv1⊗v2,w1⊗w2π1⊗π2=cv1,w1π1 cv2,w2π2.
  3. The trivial one-dimensional representation 1K is a continuous unitary representation with constant matrix coefficient 1; and for every finite-dimensional continuous unitary π on V with an orthonormal basis e1,…,ed, the linear operators defined in this basis by ⟨σ(k)ei,ej⟩=⟨π(k)ei,ej⟩‾ form a continuous finite-dimensional unitary representation σ of K, and cv,wπ‾=cJv,Jwσ for all v,w∈V, where J(∑iaiei)=∑iai‾ei. In particular the complex conjugate of a matrix coefficient of a finite-dimensional continuous unitary representation is again such a coefficient, so the operations above make the representative functions an algebra closed under conjugation.

Facts & Assumptions

[F1]

Matrix coefficients are cv,wπ(k)=⟨π(k)v,w⟩, linear in v and conjugate-linear in w, and a strongly continuous unitary representation is a homomorphism k↦π(k) into the bijective linear isometries of the Hilbert space whose orbit maps k↦π(k)v are norm-continuous. (Matrix coefficient of a unitary representation, Strongly continuous unitary representations, invariant linear subspaces and intertwiners)

[F2]

Every finite-dimensional complex inner product space has an orthonormal basis, and every vector is the sum v=∑i⟨v,ei⟩ei over such a basis. (Every finite-dimensional real or complex inner product space has an orthonormal basis)

[F3]

The length ∥u∥=⟨u,u⟩ induced by an inner product satisfies ∥u+v∥≤∥u∥+∥v∥ and ∥λu∥=∣λ∣ ∥u∥. (The induced length is a norm)

[F4]

The tensor product representation acts by k⋅(v⊗w)=(π1(k)v)⊗(π2(k)w) on elementary tensors, and this action is well defined by the universal property of the tensor product. (The tensor product of two complex representations, Universal property of the tensor product for balanced maps into abelian groups)

[F5]

A finite-dimensional vector space has a basis of dim⁡V vectors, and the dimension is the unique size of a finite basis. (Finite-dimensional vector space, and its dimension dim⁡FV; infinite-dimensional means having no finite basis)

[F6]

Complex conjugation satisfies zw‾=z‾ w‾ and z+w‾=z‾+w‾, and ∣z∣2=zz‾. (Conjugation is an involutive real-field automorphism, zz‾=∣z∣2, and modulus is definite, multiplicative, and subadditive)

[F7]

A bijective linear isometry from a finite-dimensional complex inner product space to itself is a unitary operator. (Linear isometries, and orthogonal or unitary operators on finite-dimensional inner product spaces)

Proof

Given: A topological group K, finite-dimensional continuous unitary representations π1,π2 of K on V1,V2 with dim⁡Vi=di, and the direct sum and tensor product constructions.

1.1F1F5F7

On V1⊕V2 with the inner product ⟨(v1,v2),(w1,w2)⟩=⟨v1,w1⟩+⟨v2,w2⟩ define (π1⊕π2)(k)(v1,v2)=(π1(k)v1,π2(k)v2); the group law holds componentwise, and ∥(π1⊕π2)(k)(v1,v2)∥2=∥π1(k)v1∥2+∥π2(k)v2∥2=∥(v1,v2)∥2 shows that each operator is an isometry, bijective with inverse (π1⊕π2)(k−1), hence unitary by [F7], while strong continuity follows from ∥(π1⊕π2)(k)(v1,v2)−(π1⊕π2)(k0)(v1,v2)∥2=∥π1(k)v1−π1(k0)v1∥2+∥π2(k)v2−π2(k0)v2∥2→0. The disjoint union of bases of V1 and V2 is a basis of V1⊕V2, so the dimension is d1+d2 by [F5], and expanding the inner product gives c(v1,v2),(w1,w2)π1⊕π2(k)=⟨π1(k)v1,w1⟩+⟨π2(k)v2,w2⟩=cv1,w1π1(k)+cv2,w2π2(k) for all vectors and all k, which is (1).

1.2F2F4F5

Fix orthonormal bases (ei)i≤d1 of V1 and (fj)j≤d2 of V2 [F2]; the elementary tensors ei⊗fj span V1⊗V2 because v⊗w=∑i,j⟨v,ei⟩⟨w,fj⟩ ei⊗fj by the expansion of v and w, and they are linearly independent because a relation ∑i,jλijei⊗fj=0 returns λi0j0=0 when one applies the linear functional induced by the bilinear form (v,w)↦⟨v,ei0⟩⟨w,fj0⟩ through [F4]; hence they form a basis and dim⁡(V1⊗V2)=d1d2 by [F5]. Declaring this basis orthonormal makes V1⊗V2 a finite-dimensional complex Hilbert space, and the same expansions give ⟨v⊗w,v′⊗w′⟩=∑i,j⟨v,ei⟩⟨w,fj⟩⟨v′,ei⟩⟨w′,fj⟩‾=⟨v,v′⟩⟨w,w′⟩ for all elementary tensors, so such an inner product exists and is unique with this property because the elementary tensors span.

2.1F1F3F4F7step 1.2

Because π1(k) and π2(k) are unitary, the elementary-tensor formula of step 1.2 and the action [F4] give ⟨(π1⊗π2)(k)(v⊗w),(π1⊗π2)(k)(v′⊗w′)⟩=⟨π1(k)v,π1(k)v′⟩⟨π2(k)w,π2(k)w′⟩=⟨v,v′⟩⟨w,w′⟩=⟨v⊗w,v′⊗w′⟩ for all elementary tensors; both sides are sesquilinear and the elementary tensors span, so the identity holds on all of V1⊗V2, each (π1⊗π2)(k) is a bijective linear isometry, hence unitary by [F7], and cv⊗w,v′⊗w′π1⊗π2(k)=cv,v′π1(k)cw,w′π2(k) on elementary tensors. For finite expansions u=∑aαava⊗wa and u′=∑bβbvb′⊗wb′, sesquilinearity instead gives cu,u′π1⊗π2(k)=∑a,bαaβb‾ cva,vb′π1(k)cwa,wb′π2(k), a finite sum of products. For strong continuity write u=∑aca va⊗wa as a finite sum; then [F3] gives ∥(π1⊗π2)(k)u−(π1⊗π2)(k0)u∥≤∑a∣ca∣(∥π1(k)va∥ ∥π2(k)wa−π2(k0)wa∥+∥π1(k)va−π1(k0)va∥ ∥π2(k0)wa∥)→0 as k→k0, using ∥x⊗y∥=∥x∥ ∥y∥ from step 1.2 and the strong continuity of π1 and π2; hence π1⊗π2 is strongly continuous, which completes (2).

3.1F1F2F3F6F7∎

The trivial representation 1K(k)z=z on C is a continuous unitary representation whose matrix coefficient at the unit vector 1 is the constant function 1. Now let π be finite-dimensional continuous unitary on V with orthonormal basis e1,…,ed, and let σ(k) be the linear operator whose matrix in this basis is the entrywise conjugate of that of π(k), that is ⟨σ(k)ei,ej⟩=⟨π(k)ei,ej⟩‾ for all i,j; then σ(k)=Jπ(k)J, where J(∑iaiei)=∑iai‾ei and J2=I, so σ(kh)=Jπ(k)π(h)J=(Jπ(k)J)(Jπ(h)J)=σ(k)σ(h), so σ is a homomorphism, and σ(k) is unitary because its matrix is the conjugate of the unitary matrix of π(k); each matrix entry k↦⟨σ(k)ei,ej⟩ is continuous as the conjugate of a continuous function, so σ is strongly continuous, since ∥(σ(k)−σ(k0))x∥≤∑i∣xi∣ ∥(σ(k)−σ(k0))ei∥→0 for x=∑ixiei by [F3]; expanding coefficients in the basis gives cv,wπ(k)‾=∑i,j⟨v,ei⟩⟨w,ej⟩‾⟨π(k)ei,ej⟩‾=∑i,j⟨v,ei⟩‾⟨w,ej⟩⟨π(k)ei,ej⟩‾=⟨σ(k)Jv,Jw⟩=cJv,Jwσ(k) for all v,w∈V and all k; this proves (3).

Depends on

Used by

Dependency tree · two levels

49 results within two dependency steps of this one, each drawn at its shortest distance from it. An arrow runs from a result to what uses it, so the chart reads left to right and ends at this result, which carries a heavier outline. Every node is a link to that result. Click elsewhere on the chart to enlarge it.

Sources