Tensor products of Hilbert spaces
[18/78%]In Lemma 4.8, show that if is separable, then is a basis for . What if is not separable?
Lemma 4.8: If is a basis for and
for in and in , then is an orthonormal set in . If and are as in Proposition 4.7, then .
Let be a basis for a Hilbert space and be a basis for a Hilbert space . This exercise will show that the tensor product sequence is a basis for the tensor product space (see Appendix B for definitions).
Let and denote the biorthogonal systems and basis constants for , respectively. Order as follows:
\begin{aligned} \mathbb {N} \times \mathbb {N} = & \left\{ (1,1), \\ & (2,1),(2,2),(1,2), \\ & (3,1),(3,2),(3,3),(2,3),(1,3), \\ & (4,1),(4,2),(4,3),(4,4),(3,4),(2,4),(1,4), \\ & \quad \cdots \right\} , \end{aligned}and let denote arranged according to the above ordering of . Let , and denote the partial sum operators associated with , and , respectively.
Show that is exact in , and its biorthogonal system is .
Prove the following relationships among the partial sum operators (where we let and be the zero operators):
Show that for each , and conclude that is a basis for .
Let be Bessel sequences in separable Hilbert spaces , respectively. Show that the tensor product sequence is a Bessel sequence in (see Appendix B for definitions).
Let be Riesz bases for Hilbert spaces , respectively. Show that the tensor product sequence is a Riesz basis for (see Appendix B for definitions).
This exercise gives another way to construct frames for "larger" spaces from "smaller" ones.
Let be frames for Hilbert spaces , respectively. Show that the tensor product sequence is a frame for (see Appendix B for definitions).
Let be measurable subsets of . Show that if is a frame for and is a frame for , then is a frame for .
Complete the proof of Theorem B.10.
Theorem B.10: Let be separable Hilbert spaces.
has rank one if and only if for some not both zero.
has finite rank if and only if for some , , and .
is complete in .
If and , then .
If is an orthonormal basis for and is an orthonormal basis for , then is an orthonormal basis for .
If , then for every .
The book's own text already proves part (e) of Theorem B.10; this exercise asks for the remaining parts.
Let be separable Hilbert spaces. Prove the following facts about tensor products.
.
and .
and .
.
Given and , show that the adjoint of is
Given , show that is compact if and only if is compact.
Let be measurable subsets of , and let and be orthonormal bases for and , respectively. Let denote the tensor product function defined in equation (B.3), and show that the family is an orthonormal basis for .
Let be separable Hilbert spaces. Fix and and prove the following statements.
If and then .
There exists a unique bounded operator such that and for all and . We call the tensor product of and , and write .
.
If and are each topological isomorphisms, then so is .
Specialize to and . In particular, show that if and then there exists a unique operator such that , where and are the functions defined by equation (B.3).
An operator is called a Hilbert–Schmidt operator if the series converges for some Hilbert basis .
Prove that if is a Hilbert--Schmidt operator, then the quantity does not depend on the choice of basis and defines in the space of Hilbert--Schmidt operators a norm which majorizes the usual operator norm.
Prove that the norm is generated by the scalar product , where is any Hilbert basis in .
Prove that every Hilbert--Schmidt operator is compact.
Construct an isomorphism between and the Hilbert tensor product of and .
Prove that every Hilbert--Schmidt operator on is an integral operator with kernel .
Suppose that and are Hilbert spaces, and their Hilbert tensor product. Prove that if and are selfadjoint operators in and , respectively, then the operator , with domain , is essentially selfadjoint in .
Suppose that are finite-dimensional inner product spaces. Prove that there is a unique inner product on such that
for all and in . Note that the equation above implies that
for all .
Suppose that are finite-dimensional inner product spaces and is made into an inner product space using the inner product from Exercise 12. Suppose is an orthonormal basis of for each . Show that the list
is an orthonormal basis of .
Exercise 12: the inner product on is the unique one such that for all and in .
Let
Thus forms an orthonormal basis in . Calculate
and interpret the result.
Given the orthonormal basis
in the vector space . Use this orthonormal basis to find an orthonormal basis in .
An orthonormal basis in is given by
Use this orthonormal basis and the Kronecker product to find an orthonormal basis in .
A basis in the vector space of matrices over is given by the Pauli spin matrices (including the identity matrix) , , , . Use this basis and the Kronecker product to find a basis in the vector space of all matrices over .
Consider the two normalized vectors
in the Hilbert space . Show that the vectors obtained by applying the matrix together with the original ones form an orthonormal basis in .