Hilbert Space Tensor Products
A tensor product of bounded operators extends uniquely from product vectors to the completed composite Hilbert space. An unbounded local observable requires a domain that includes more than finite sums of product vectors. These two extension problems must be distinguished. The canonical Tensor Products of Hilbert Spaces article supplies the composition rule and coordinate conventions; this page supplies the operator estimates behind that rule.
Helpful background. Algebraic Tensor Products and Completion constructs the space. Bounded Operators and The Unbounded Spectral Theorem supply the two operator settings.
Bounded tensor operators extend continuously
Section titled “Bounded tensor operators extend continuously”Let and be bounded. On algebraic tensors define
Bilinearity makes this well-defined. To prove boundedness, first take an orthonormal expansion in the unchanged factor. A finite algebraic tensor can be written with orthonormal , giving
The analogous estimate holds for . Their composition yields
Density therefore gives a unique bounded extension to the Hilbert completion. Testing unit simple tensors whose factors approach the respective norm suprema proves the exact identity
No norm-attaining vector is needed: approximating sequences suffice.
Adjoint, composition, and limiting operations
Section titled “Adjoint, composition, and limiting operations”Testing inner products on simple tensors and extending by continuity gives
Compatible bounded compositions satisfy . Hence local bounded operators and commute on the whole space. If the local factors are unitaries or orthogonal projections, their tensor product has the same property.
Strong convergence also passes through tensor products under the appropriate uniform bounds. Suppose and strongly. The uniform boundedness principle gives bounded norm sequences. On a simple tensor,
which tends to zero. Density and the uniform operator-norm bounds extend convergence to every composite vector. The same argument without uniform bounds would not justify that last step.
In particular, increasing finite-rank projections and give strongly. They approximate each state vector, although their operator-norm distance from the identity remains one whenever a nonzero subspace is omitted.
A local unbounded observable has a larger domain
Section titled “A local unbounded observable has a larger domain”Let be self-adjoint on and assume the second factor is separable with basis . Write
The self-adjoint realization of has domain
and acts by . This is the closure of the operator initially defined on . Truncating the second-factor expansion approximates both the vector and its image in norm, proving that algebraic domain is a core.
Equivalently its spectral projections are . The spectral-integrability description proves that the domain does not depend on the chosen second-factor basis.
Two self-adjoint observables on different factors strongly commute because their spectral projections commute. This statement remains valid even if neither algebraic product is defined on every vector. The joint calculus supplies their self-adjoint sums and functions with the corresponding maximal domains.
Spin components make the domain concrete
Section titled “Spin components make the domain concrete”For a spin- particle, is the space of two-component wavefunctions . Position acts on both components:
Spin is bounded and has no additional domain restriction. This distinction is physical: adding a finite internal factor does not make spatial position bounded.
Adding an infinite spectator can also destroy compactness. If is compact and is an infinite orthonormal family, choose with . The images of the bounded sequence have no convergent subsequence. Thus is not compact. A compact subsystem operator need not be compact on the total system.
Exercises
Section titled “Exercises”- If both and are compact, show that is compact.
Solution
Choose finite-rank norm approximations and . Their tensor products are finite rank, and the tensor norm identity gives . Compact operators are norm closed.
- For on , does belong to ?
Solution
It is a Hilbert-space vector because . Its image would have coefficients , so the proposed image has infinite squared norm. It is outside the operator domain. Normalization alone does not guarantee a finite local second moment.
References
Section titled “References”- Dereziński, Jan, and Christian Gérard, Mathematics of Quantization and Quantum Fields, Cambridge University Press, 2013, Chapter 3 — tensor products of spaces and operators. Publisher.
- Hall, Brian C., Quantum Theory for Mathematicians, Graduate Texts in Mathematics 267, Springer, 2013 — tensor products and unbounded observables. Publisher.
- Reed, Michael, and Barry Simon, Methods of Modern Mathematical Physics, Volume I: Functional Analysis, revised and enlarged edition, Academic Press, 1980 — closed operators, tensor products, and spectral domains.