Applications to Representation Theory
Tensor products play a central role in representation theory, allowing construction of new representations from old. This connects abstract algebra to geometry and physics.
If and are representations of group (i.e., homomorphisms and ), then becomes a representation via:
This construction is fundamental: it allows building complex representations from simple ones.
In quantum mechanics, spin states form representations of . Two spin- particles (each with 2-dimensional state space) combine via tensor product:
This decomposes into spin-0 (singlet) and spin-1 (triplet):
The Clebsch-Gordan coefficients describe this decomposition.
For irreducible representations and of finite group :
If : If :
The tensor product generally decomposes into irreducibles:
where are irreducible representations and are multiplicities (Clebsch-Gordan series).
For , the standard representation is . Tensor powers decompose:
- : homogeneous polynomials of degree (irreducible)
- : alternating forms (irreducible for )
These generate all polynomial representations via tensor products and decompositions.
The category of representations of with tensor product forms a tensor category (monoidal category):
- Associativity:
- Unit object: trivial representation
- Braiding: commutativity constraint
This structure governs how representations combine and interact.
Tensor products of representations are ubiquitous in physics: combining particles (quantum mechanics), adding angular momenta, and constructing field theories. In mathematics, they enable induction/restriction functors, Frobenius reciprocity, and character theory. The decomposition of tensor products into irreducibles (Clebsch-Gordan theory) is computationally crucial in quantum chemistry and particle physics.