While arguing our case that the category of finite-dimensional Hilbert spaces is better than the category
of finite sets, we found ourselves obliged to address the question: is
enriched over itself?
We did not answer this question in Lecture 7, but we did show that is enriched over the category
of finite-dimensional Banach spaces. More precisely, we proved that every linear transformation
is a Lipschitz function with respect to the Hilbert norms on
and
and we defined the operator norm on
to be the Lipschitz constant
of
The fact that is a Banach space under operator norm is important and we will return to this often. However, we posed a problem in Lecture 7 whose solution rules out the possibility that the operator norm on
is induced by a scalar product. Thus, we cannot hope to promote
from a Banach space to a Hilbert space by means of polarization.
On the other hand, the main tool we used in Lecture 7, namely the existence of an explicit basis of
associated to any given pair of orthonormal bases
and
can be utilized to define a scalar product
on
simply by declaring
of
to be orthonormal. This is a general fact: any vector space basis can be used to define a scalar product in which it is orthonormal. Translating this into an explicit formula in the present case of interest, we get
The corresponding norm is
So, we have constructed a scalar product on
Definition 8.1. For any two orthonormal bases and
the corresponding scalar product
is called the Frobenius scalar product on
According to Definition 8.1, there are many Frobenius scalar products on — one for every choice of Cartesian coordinate systems in the source and target spaces. Our objective is to show that all of these are in fact the same sesquilinear form on
This means that we may speak of the Frobenius scalar product on
, and that this scalar product is intrinsically geometric.
It is in fact very easy to see that has no dependence on
Proposition 8.2. For any we have
Proof: We calculate
and this is
Showing that the Frobenius scalar product on
has no dependence on the Cartesian coordinate system
is more challenging. To do so, we will use an argument which is inductive in the dimension of
The base case, where
is essentially the finite-dimensional Riesz representation theorem. The induction step motivates the introduction of orthogonal decompositions and direct sums of Hilbert spaces.
For the rest of this Lecture, let and
be a pair of Hilbert spaces with fixed orthonormal bases
and
and denote by
the corresponding Frobenius scalar product on
For the rest of this lecture we focus on the case where is one-dimensional. This means that our specified orthonormal basis of
is a singleton set
containing a unit vector
Thus,
and
Because the target space
is one-dimensional, there are only
elementary transformations in
namely
Let us generalize the elementary transformations to a broader class of linear transformations in defined as follows.
Definition 8.2. For every vector the corresponding covector
is the linear transformation defined by
It is useful to view the assignment as defining a function
This function is called the Riesz mapping, and it injects into
. That the Riesz mapping is injective follows from the fact that
forces
The Riesz mapping is not linear but antilinear,
Like linearity, antilinearity implies that the image of in
is a vector subspace – the space of covectors.
We claim that that the space of covectors is all of i.e. that the Riesz mapping is surjective. Indeed, let
be an arbitrary transformation. Then, for each
we have
for some
Thus, for any
we have
In order to show that is in fact a covector, consider the vector
defined by
Then, we have
This completes the proof of the finite-dimensional Riesz representation theorem.
Theorem 8.3. The Riesz mapping is an antilinear bijection
Note that the injectivity of the Riesz mapping was proved without any reference to the finite-dimensionality of However, our surjectivity argument did make use of the finite-dimensionality of
Let us also remark that, typically, Definition 8.2 and Theorem 8.3. are stated as theorems about the relationship between
and its dual space
Note that
where
may be any complex number of modulus one: the orthonormal bases of
are exactly singleton sets containing a point on the unit circle. The standard definition of covectors is made assuming that we take
as the basis of
According to Theorem 8.3, the vector space is precisely the space of covectors
Thus, we may define a scalar product on
by
Let us call this the Riesz scalar product on It is defined solely in terms of the scalar product in
and therefore is canonical and geometric, independent of a choice of basis in
. On the other hand, since
the Riesz scalar product
on
coincides with the Frobenius scalar product
on
This proves that the Frobenius scalar product is independent of coordinates in the case of a one-dimensional target space.