Tensor product of Hilbert spaces

{{Short description|Tensor product space endowed with a special inner product}}In mathematics, and in particular functional analysis, the tensor product of Hilbert spaces is a way to extend the tensor product construction so that the result of taking a tensor product of two Hilbert spaces is another Hilbert space. Roughly speaking, the tensor product is the metric space completion of the ordinary tensor product. This is an example of a topological tensor product. The tensor product allows Hilbert spaces to be collected into a symmetric monoidal category.B. Coecke and E. O. Paquette, Categories for the practising physicist, in: New Structures for Physics, B. Coecke (ed.), Springer Lecture Notes in Physics, 2009. [https://arxiv.org/abs/0905.3010 arXiv:0905.3010]

Definition

Since Hilbert spaces have inner products, one would like to introduce an inner product, and thereby a topology, on the tensor product that arises naturally from the inner products on the factors. Let H_1 and H_2 be two Hilbert spaces with inner products \langle\cdot, \cdot\rangle_1 and \langle\cdot, \cdot\rangle_2, respectively. Construct the tensor product of H_1 and H_2 as vector spaces as explained in the article on tensor products. We can turn this vector space tensor product into an inner product space by defining

\left\langle\phi_1 \otimes \phi_2, \psi_1 \otimes \psi_2\right\rangle = \left\langle\phi_1, \psi_1\right\rangle_1 \, \left\langle\phi_2, \psi_2\right\rangle_2 \quad \mbox{for all } \phi_1,\psi_1 \in H_1 \mbox{ and } \phi_2,\psi_2 \in H_2

and extending by linearity. That this inner product is the natural one is justified by the identification of scalar-valued bilinear maps on H_1 \times H_2 and linear functionals on their vector space tensor product. Finally, take the completion under this inner product. The resulting Hilbert space is the tensor product of H_1 and H_2.

=Explicit construction=

The tensor product can also be defined without appealing to the metric space completion. If H_1 and H_2 are two Hilbert spaces, one associates to every simple tensor product x_1 \otimes x_2 the rank one operator from H_1^* to H_2 that maps a given x^*\in H^*_1 as

x^* \mapsto x^*(x_1) \, x_2.

This extends to a linear identification between H_1 \otimes H_2 and the space of finite rank operators from H_1^* to H_2. The finite rank operators are embedded in the Hilbert space HS(H_1^*, H_2) of Hilbert–Schmidt operators from H_1^* to H_2. The scalar product in HS(H_1^*, H_2) is given by

\langle T_1, T_2 \rangle = \sum_n \left \langle T_1 e_n^*, T_2 e_n^* \right \rangle,

where \left(e_n^*\right) is an arbitrary orthonormal basis of H_1^*.

Under the preceding identification, one can define the Hilbertian tensor product of H_1 and H_2, that is isometrically and linearly isomorphic to HS(H_1^*, H_2).

=Universal property=

The Hilbert tensor product H_1 \otimes H_2 is characterized by the following universal property {{harv|Kadison|Ringrose|1997|loc=Theorem 2.6.4}}:

{{math theorem | There is a weakly Hilbert–Schmidt mapping p : H_1 \times H_2 \to H_1 \otimes H_2 such that, given any weakly Hilbert–Schmidt mapping L : H_1 \times H_2 \to K to a Hilbert space K, there is a unique bounded operator T : H_1 \otimes H_2 \to K such that L = T p.}}

A weakly Hilbert-Schmidt mapping L : H_1 \times H_2 \to K is defined as a bilinear map for which a real number d exists, such that

\sum_{i,j=1}^\infty \bigl| \left\langle L(e_i, f_j), u \right \rangle\bigr|^2 \leq d^2\,\|u\|^2

for all u \in K and one (hence all) orthonormal bases e_1, e_2, \ldots of H_1 and f_1, f_2, \ldots of H_2.

As with any universal property, this characterizes the tensor product H uniquely, up to isomorphism. The same universal property, with obvious modifications, also applies for the tensor product of any finite number of Hilbert spaces. It is essentially the same universal property shared by all definitions of tensor products, irrespective of the spaces being tensored: this implies that any space with a tensor product is a symmetric monoidal category, and Hilbert spaces are a particular example thereof.

=Infinite tensor products=

Two different definitions have historically been proposed for the tensor product of an arbitrary-sized collection \{H_n\}_{n\in N} of Hilbert spaces. Von Neumann's traditional definition simply takes the "obvious" tensor product: to compute \bigotimes_n{H_n}, first collect all simple tensors of the form \bigotimes_{n\in N}{e_n} such that \prod_{n\in N}{\|e_n\|}<\infty. The latter describes a pre-inner product through the polarization identity, so take the closed span of such simple tensors modulo that inner product's isotropy subspaces. This definition is almost never separable, in part because, in physical applications, "most" of the space describes impossible states. Modern authors typically use instead a definition due to Guichardet: to compute \bigotimes_n{H_n}, first select a unit vector v_n\in H_n in each Hilbert space, and then collect all simple tensors of the form \bigotimes_{n\in N}{e_n}, in which only finitely-many e_n are not v_n. Then take the L^2 completion of these simple tensors.Nik Weaver (8 March 2020). [https://mathoverflow.net/revisions/354457/4 Answer] to [https://mathoverflow.net/posts/354418/revisions Result of continuum tensor product of Hilbert spaces]. MathOverflow. StackExchange.Bratteli, O. and Robinson, D: Operator Algebras and Quantum Statistical Mechanics v.1, 2nd ed., page 144. Springer-Verlag, 2002.

=Operator algebras=

Let \mathfrak{A}_i be the von Neumann algebra of bounded operators on H_i for i=1,2. Then the von Neumann tensor product of the von Neumann algebras is the strong completion of the set of all finite linear combinations of simple tensor products A_1\otimes A_2 where A_i \in \mathfrak{A}_i for i = 1, 2. This is exactly equal to the von Neumann algebra of bounded operators of H_1\otimes H_2. Unlike for Hilbert spaces, one may take infinite tensor products of von Neumann algebras, and for that matter C*-algebras of operators, without defining reference states. This is one advantage of the "algebraic" method in quantum statistical mechanics.

Properties

If H_1 and H_2 have orthonormal bases \left\{\phi_k\right\} and \left\{\psi_l\right\}, respectively, then \left\{\phi_k \otimes \psi_l\right\} is an orthonormal basis for H_1\otimes H_2. In particular, the Hilbert dimension of the tensor product is the product (as cardinal numbers) of the Hilbert dimensions.

Examples and applications

The following examples show how tensor products arise naturally.

Given two measure spaces X and Y, with measures \mu and \nu respectively, one may look at L^2(X \times Y), the space of functions on X \times Y that are square integrable with respect to the product measure \mu\times\nu. If f is a square integrable function on X, and g is a square integrable function on Y, then we can define a function h on X\times Y by h(x, y) = f(x) g(y). The definition of the product measure ensures that all functions of this form are square integrable, so this defines a bilinear mapping L^2(X) \times L^2(Y) \to L^2(X\times Y). Linear combinations of functions of the form f(x) g(y) are also in L^2(X \times Y). It turns out that the set of linear combinations is in fact dense in L^2(X \times Y), if L^2(X) and L^2(Y) are separable.{{cite book|at=p. 100, ex. 3.|title=Elements of the theory of functions and functional analysis|volume=2: Measure, the Lebesgue integral, and Hilbert space|first1=A. N.|last1=Kolmogorov|author-link1=Andrei Kolmogorov|first2=S. V.|last2=Fomin|author-link2=Sergei Fomin|orig-date=1960|translator-first1=Hyman|translator-last1=Kamel|translator-first2=Horace|translator-last2=Komm|publisher=Graylock|location=Albany, NY|year=1961|lccn=57-4134}} This shows that L^2(X) \otimes L^2(Y) is isomorphic to L^2(X \times Y), and it also explains why we need to take the completion in the construction of the Hilbert space tensor product.

Similarly, we can show that L^2(X;H), denoting the space of square integrable functions X \to H, is isomorphic to L^2(X) \otimes H if this space is separable. The isomorphism maps f(x) \otimes \phi \in L^2(X)\otimes H to f(x) \phi \in L^2(X;H). We can combine this with the previous example and conclude that L^2(X) \otimes L^2(Y) and L^2(X \times Y) are both isomorphic to L^2\left(X; L^2(Y)\right).

Tensor products of Hilbert spaces arise often in quantum mechanics. If some particle is described by the Hilbert space H_1, and another particle is described by H_2, then the system consisting of both particles is described by the tensor product of H_1 and H_2. For example, the state space of a quantum harmonic oscillator is L^2(\R), so the state space of two oscillators is L^2(\R) \otimes L^2(\R), which is isomorphic to L^2\left(\R^2\right). Therefore, the two-particle system is described by wave functions of the form \psi\left(x_1, x_2\right). A more intricate example is provided by the Fock spaces, which describe a variable number of particles.

References

{{reflist}}

Bibliography

  • {{Cite book | last1=Kadison | first1=Richard V. |author1link = Richard Kadison| last2=Ringrose | first2=John R. |author2link = John Robert Ringrose| title=Fundamentals of the theory of operator algebras. Vol. I | publisher=American Mathematical Society | location=Providence, R.I. | series=Graduate Studies in Mathematics | isbn=978-0-8218-0819-1 | mr= 1468229 | year=1997 | volume=15}}.
  • {{Cite book | last1=Weidmann | first1=Joachim | title=Linear operators in Hilbert spaces | publisher=Springer-Verlag | location=Berlin, New York | series=Graduate Texts in Mathematics | isbn=978-0-387-90427-6 |mr=566954 | year=1980 | volume=68}}.

{{Hilbert space}}

{{Topological tensor products and nuclear spaces}}

{{Functional analysis}}

Category:Functional analysis

Category:Hilbert spaces

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Category:Operator theory

Category:Topological tensor products