We begin with some basic facts about Hilbert spaces, which are not commonly seen in the theory of Bergman spaces. Let \(V\) be a complex vector space. We define the (algebraic) tensor product vector space \(V\otimes V\) as the quotient vector space \(^U/_W\) of some vector spaces \(U\) and \(W\). Here \(U\) is the vector space generated by all pairs \((\alpha ,\beta )\in V\times V\) as finite formal linear combinations with complex coefficients and \(W\) is the space generated in the same way by all elements of the following types
$$\begin{aligned}&(\alpha +\beta ,\gamma )-(\alpha ,\gamma )-(\beta ,\gamma );\\&(\alpha ,\beta +\gamma )-(\alpha ,\beta )-(\alpha ,\gamma );\\&(a\alpha ,\beta )-a(\alpha ,\beta );\\&(\alpha ,a\beta )-a(\alpha ,\beta ), \end{aligned}$$
where \(\alpha ,\beta ,\gamma \in V, a\in \mathbb{C } \). Clearly \(W\) is a subspace of \(U\). The tensor product \(\alpha \otimes \beta \), which is a equivalence class, can be interpreted as the affine space \((\alpha ,\beta )+W\). Now the wedge (or exterior) product \(V\wedge V\) is defined as the quotient vector space \(^{V\otimes V}/_S\), where \(S\subset V\otimes V\) is the vector space generated by all elements of the type \(\alpha \otimes \alpha \), where \(\alpha \in V\). Again \(\alpha \wedge \beta \) is a equivalence class, which can be interpreted as the affine space \(\alpha \otimes \beta +S\subset V\otimes V\).
Let \(H\) be a separable Hilbert space, carrying the inner product \(\langle \cdot ,\cdot \rangle _{H}\). Now \(H\wedge H\) makes sense at least as a vector space. This vector space \(H\wedge H\) consists of all finite sums of the type \(\sum _{i=1}^{m}a_{i}\alpha _{i}\wedge \beta _{i}\), where \(a_{i}\in \mathbb{C }, \alpha _{i},\beta _{i}\in H,m\in \mathbb{N }\). We endow this space with an inner product defined as follows. For elements of the type \(\alpha \wedge \beta \) and \(\gamma \wedge \delta \), where \(\alpha ,\beta ,\gamma ,\delta \in H\)
$$\begin{aligned} \langle \alpha \wedge \beta ,\gamma \wedge \delta \rangle _{H\wedge H}:=\det \left( \begin{array}{c@{\quad }c} \langle \alpha ,\gamma \rangle _{H}&{}\langle \alpha ,\delta \rangle _{H}\\ \langle \beta ,\gamma \rangle _{H}&{}\langle \beta ,\delta \rangle _{H} \end{array}\right) . \end{aligned}$$
(12)
After defining the inner product on such vectors we extend it on the whole vector space \(H\wedge H\) by linearity. Now we perform the completion of \(H\wedge H\) with respect to \(\langle \cdot ,\cdot \rangle _{H\wedge H}\), that is we allow not only finite but also countable combinations \(\sum _{i=1}^{\infty }a_{i}\alpha _{i}\wedge \beta _{i}\), obeying the natural restriction that \(\sum _{i=1}^{\infty }|a_{i}|^2<\infty \). By abusing notation, we agree to call this completion also \(H\wedge H\). The inner product also extends to the completed vector space and again by abusing notation we call the extension \(\langle \cdot ,\cdot \rangle _{H\wedge H}\). Now it is easy to see that \((H\wedge H, \langle \cdot ,\cdot \rangle _{H\wedge H})\) is a Hilbert space. It is also easy to see that this Hilbert space is separable.
Likewise if we take \(n+1\) copies of a Hilbert space \(F\), we can define the Hilbert space \((F\wedge \cdots \wedge F, \langle \cdot ,\cdot \rangle _{F\wedge \cdots \wedge F})\), which is the completion of the vector space \(F\wedge \cdots \wedge F\) with respect to the inner product, which is the linear extension of
$$\begin{aligned} \langle \alpha _{0}\wedge \cdots \wedge \alpha _{n},\beta _{0}\wedge \cdots \wedge \beta _{n}\rangle _{F\wedge \cdots \wedge F}:=\det \left( \begin{array}{ccc} \langle \alpha _{0},\beta _{0}\rangle _{F}&{}\cdots &{}\langle \alpha _{0},\beta _{n}\rangle _{F}\\ \vdots &{}\ddots &{}\vdots \\ \langle \alpha _{n},\beta _{0}\rangle _{F}&{}\cdots &{}\langle \alpha _{n},\beta _{n}\rangle _{F} \end{array}\right) . \end{aligned}$$
(13)
It is a matter of algebraic manipulations to see that the continuous dual space of \(F\wedge \cdots \wedge F\) satisfies
$$\begin{aligned} \left( F\wedge \cdots \wedge F\right) ^{\prime }\cong F^{\prime }\wedge \cdots \wedge F^{\prime }. \end{aligned}$$
(14)
A proof of this fact can be found in [4].
A element \(\alpha \in F\wedge \cdots \wedge F\) which can be represented as \(\alpha =\alpha _{0}\wedge \alpha _{1}\wedge \cdots \wedge \alpha _{n}\), for some \( \alpha _{i}\in F, i=0,\dots ,n\) will be called decomposable (the terms pure, monomial, simple and completely reducible are also frequent in the literature). Clearly not all elements of \(F\wedge \cdots \wedge F\) are decomposable. There is a criterion for determining whether a nonzero vector is decomposable or not, known as Plücker (or Plücker-Grassmann) conditions. To introduce it we need more notation. Let \(J\) be a \(s\)- tuple of natural numbers \(j_{1}\!<\!{\cdots }\!<\! j_{s}\). We denote by \(e_{J}\) the vector \(e_{j_{1}}\wedge \dots \wedge e_{j_{s}}\), where \(e_{j}\) is a fixed orthonormal basis of a separable Hilbert space \(E\). Clearly \(e_{J}\in E\wedge \dots \wedge E\), where the exterior product is taken \(s\) times, and moreover the vectors \(e_{J}\), for all possible \(s\)-tuples \(J\) of pairwise distinct natural numbers, form a orthonormal basis of \(E\wedge \dots \wedge E\). We can therefore expand a vector \(\alpha \in E\wedge \dots \wedge E\) as \(\alpha =\sum _{J}a_{J}e_{J}\), where \(a_{J}=\langle \alpha ,e_{J}\rangle _{E\wedge \dots \wedge E}\in \mathbb{C }\). Now a nonzero vector \(\alpha \) is decomposable if and only if for all \(I\subset \mathbb{N }^{s-1}\) and for all \(L\subset \mathbb{N }^{s+1}\), both \(I\) and \(L\) without recurring elements, such that \(I\cap L=\emptyset \), the following equality holds
$$\begin{aligned} \sum _{i\in L}\rho _{I,L,i}a_{I\cup \{i\}}a_{L\setminus \{i\}}=0, \end{aligned}$$
(15)
where \(\rho _{I,L,i}=1\) if \(\sharp \{ j\in L: j< i\}\equiv \sharp \{ j\in I: j< i\} \quad (\text{ mod } 2)\) and \(\rho _{ I,L,i}=-1\) otherwise. Also in the index notation \(a_{I\cup \{i\}}\) (respectively \(a_{L{\setminus } \{i\}}\)) it should be clarified that the elements of the sets \(I\cup \{i\}\) (respectively \(L{\setminus } \{i\}\)) are ordered in a increasing fashion. For a proof see [16], Chapter 22. Actually in [16] only the finite-dimensional case is considered, however, one should take the continuous dual space instead of the algebraic dual space and the argument goes mutatis-mutandis.
Lemma 1
If a sequence \(\lbrace \alpha _{i}\rbrace _{i=1}^{\infty }\) of unit vectors in \(F\wedge \cdots \wedge F\) has a limit \(\alpha \in F\wedge \cdots \wedge F\) in the norm topology and moreover each \(\alpha _{i}\) is of the form \(b_{i}\alpha _{i0}\wedge _{ }\alpha _{i1}\wedge \cdots \wedge \alpha _{in}\), where \(b_{i}\in \mathbb{C },\alpha _{ij} \in F, j=0,\dots ,n, i=1,\dots \), then also \(\alpha \) is a unit vector of the form \(b\alpha _{0}\wedge _{ }\alpha _{1}\wedge _{}\cdots \wedge \alpha _{n}\), for some \(b\in \mathbb{C },\alpha _{j} \in F,j=0,\dots ,n\) (that is the limit is a decomposable vector).
First observe that it is not true in general that if a sequence \(f_{s}\wedge g_{s}, f_{s},g_{s}\in E\), for some Hilbert space \(E\), has a limit in \(E\wedge E\) then necessarily \(f_{s}\) and \(g_{s}\) both have limits in \(E\) and the simplest counterexample is just \(f_{s}=sf, g_{s}=\frac{1}{s}g\) , for some fixed \( f,g\in E\).
Proof
We expand the elements of the sequence, as well as the limit, into
$$\begin{aligned} \alpha _{i}=\sum _{J}a_{J}^{i}e_{J}, \alpha = \sum _{J}a_{J}e_{J}. \end{aligned}$$
Since \(\Vert \alpha _{i}-\alpha \Vert _{F\wedge \cdots \wedge F}\rightarrow 0\), it follows that \(|a_{J}^{i}-a_{J}|\rightarrow 0\). By the assumption and the Plücker relations (15) we have
$$\begin{aligned} \sum _{s\in L}\rho _{I,L,s}a_{I\cup \{s\}}^{i}a_{L\setminus \{s\}}^{i}=0, \end{aligned}$$
for all subsets \(I\subset \mathbb{N }^{n},L\subset \mathbb{N }^{n+2}\), without repetitions, such that \(I\cap L=\emptyset \). Now it is obvious that also
$$\begin{aligned} \sum _{s\in L}\rho _{I,L,s}a_{I\cup \{s\}}a_{L\setminus \{s\}}=0. \end{aligned}$$
For more on these items one should consult [4], Chapter 5, §3,4, where tensor and exterior products of Hilbert spaces are explicitly considered, [3], Chapter 3, for more results but in a more abstract algebraic setting and also [16], Chapter 22, where the concepts of decomposable vectors and tests for decomposability are very clearly presented, however, only in finite dimensions.