Bourbaki

§ 3. Tensor product of hilbertian spaces

1. Tensor product of prehilbertian spaces

Let E1E_1 and E2E_2 be two prehilbertian spaces and let F=E1⊗E2F = E_1 \otimes E_2 be the tensor product of the vector spaces E1E_1 and E2E_2. Let x1∈E1x_1 \in E_1 and x2∈E2x_2 \in E_2; since the mapping (y1,y2)↦⟨x1∣y1⟩⟨x2∣y2⟩(y_1, y_2) \mapsto \langle x_1 | y_1 \rangle \langle x_2 | y_2 \rangle from E1×E2E_1 \times E_2 into K is bilinear, there exists a linear form ϕx1,x2\phi_{x_1, x_2} on E1⊗E2E_1 \otimes E_2 such that

ϕx1,x2(y1⊗y2)=⟨x1∣y1⟩⟨x2∣y2⟩ \phi_{x_1, x_2}(y_1 \otimes y_2) = \langle x_1 | y_1 \rangle \langle x_2 | y_2 \rangle
for y1∈E1y_1 \in E_1 and y2∈E2y_2 \in E_2. Let z∈Fz \in F. The mapping (x1,x2)↦ϕx1,x2(z)‾(x_1, x_2) \mapsto \overline{\phi_{x_1, x_2}(z)} from E1×E2E_1 \times E_2 into K is bilinear; this can be seen by writing zz in the form z=∑i=1nyi,1⊗yi,2z = \sum_{i=1}^n y_{i,1} \otimes y_{i,2} with yi,1∈E1y_{i,1} \in E_1 and yi,2∈E2y_{i,2} \in E_2 for 1≤i≤n1 \leq i \leq n. Then there exists a linear form ψz\psi_z on F=E1⊗E2F = E_1 \otimes E_2 such that
ψz(x1⊗x2)=ϕx1,x2(z)‾(x1∈E1,x2∈E2). \psi_z(x_1 \otimes x_2) = \overline{\phi_{x_1, x_2}(z)} \quad (x_1 \in E_1, x_2 \in E_2).
We put Φ(z,t)=ψz(t)\Phi(z, t) = \psi_z(t) for z,tz, t in F. We see immediately that Φ\Phi is a sesquilinear form on E1⊗E2E_1 \otimes E_2 characterized by
Φ(x1⊗x2,y1⊗y2)=⟨x1∣y1⟩⟨x2∣y2⟩ \Phi(x_1 \otimes x_2, y_1 \otimes y_2) = \langle x_1 | y_1 \rangle \langle x_2 | y_2 \rangle
(cf. A, IX, § 1, No. 11).

Proposition 1

— The sesquilinear form Φ\Phi on E1⊗E2E_1 \otimes E_2 is hermitian and positive, hence assigns the structure of a prehilbertian space to E1⊗E2E_1 \otimes E_2. This space is Hausdorff if E1E_1 and E2E_2 are Hausdorff.

The formula Φ(z,t)=Φ(t,z)‾\Phi(z, t) = \overline{\Phi(t, z)} follows from (3) when z=x1⊗x2z = x_1 \otimes x_2 and t=y1⊗y2t = y_1 \otimes y_2. The general case is obtained by linearity, hence Φ\Phi is hermitian.

Suppose E1E_1 and E2E_2 are Hausdorff; we shall prove that the hermitian form Φ\Phi is positive and separating. Let z=∑i=1nxi⊗yiz = \sum_{i=1}^n x_i \otimes y_i be a non-zero element of F=E1⊗E2F = E_1 \otimes E_2. Let (e1,...,en)(e_1, ..., e_n) be an orthonormal basis of the subspace of E1E_1 generated by x1,...,xnx_1, ..., x_n (V, p. 23, cor. 1). There exist elements f1,...,fmf_1, ..., f_m in E2E_2, not all null, such that z=∑i=1nei⊗fiz = \sum_{i=1}^n e_i \otimes f_i, hence

Φ(z,z)=∑i,j=1mΦ(ei⊗fi,ej⊗fj) \Phi(z, z) = \sum_{i,j=1}^m \Phi(e_i \otimes f_i, e_j \otimes f_j)
=∑i,j⟨ei∣ej⟩⟨fi∣fj⟩=∑i=1m∥fi∥2>0. = \sum_{i,j} \langle e_i | e_j \rangle \langle f_i | f_j \rangle = \sum_{i=1}^m \| f_i \|^2 > 0.

For the general case, we shall now prove that Φ\Phi is positive. Let E~i\tilde{E}_i be the Hausdorff prehilbertian space associated with EiE_i and let πi\pi_i be the canonical mapping from EiE_i onto E~i\tilde{E}_i (i=1,2i = 1, 2). Put π=π1⊗π2\pi = \pi_1 \otimes \pi_2. Let Φ~\tilde{\Phi} be the hermitian form on E~1⊗E~2\tilde{E}_1 \otimes \tilde{E}_2 constructed in the same way as Φ\Phi. We have

Φ(z,t)=Φ(π(z),π(t))(z∈F, t∈F), \Phi(z, t) = \Phi(\pi(z), \pi(t)) \quad (z \in F, \ t \in F),
and since Φ~\tilde{\Phi} is positive, so is Φ\Phi.

The prehilbertian space defined in prop. 1 is called the tensor product of the prehilbertian spaces E1E_1 and E2E_2 and is written as E1⊗E2E_1 \otimes E_2. Henceforth we shall write ⟨z∣t⟩\langle z|t \rangle for Φ(z,t)\Phi(z, t), and therefore by definition

⟨x1⊗x2∣y1⊗y2⟩=⟨x1∣y1⟩⟨x2∣y2⟩; \langle x_1 \otimes x_2 | y_1 \otimes y_2 \rangle = \langle x_1 | y_1 \rangle \langle x_2 | y_2 \rangle;
we shall also write ∥z∥2\|z\|_2 or ∥z∥\|z\| for ⟨z∣z⟩1/2\langle z|z \rangle^{1/2}. From (4), we get
∥x1⊗x2∥2=∥x1∥⋅∥x2∥, \|x_1 \otimes x_2\|_2 = \|x_1\| \cdot \|x_2\|,
then the bilinear mapping (x1,x2)↦x1⊗x2(x_1, x_2) \mapsto x_1 \otimes x_2 from E1×E2E_1 \times E_2 into E1⊗E2E_1 \otimes E_2 is continuous.

For i=1,2i = 1, 2 let FiF_i be a vector subspace of EiE_i, endowed with the induced prehilbertian structure. Then F1⊗F2F_1 \otimes F_2 can be identified with a vector subspace of E1⊗E2E_1 \otimes E_2 (A, II, § 7, No. 7). Formula (4) shows that F1⊗F2F_1 \otimes F_2 with the prehilbertian space structure induced by that of E1⊗2E2E_1 \otimes_2 E_2, is exactly F1⊗2F2F_1 \otimes_2 F_2. We shall henceforth identify F1⊗2F2F_1 \otimes_2 F_2 with a prehilbertian subspace of E1⊗2E2E_1 \otimes_2 E_2.

Proposition 2

For i=1,2i = 1, 2, let EiE_i and FiF_i be two Hausdorff prehilbertian spaces and let ui∈L(Ei;Fi)u_i \in \mathscr{L}(E_i; F_i). The linear mapping u1⊗u2u_1 \otimes u_2 from E1⊗2E2E_1 \otimes_2 E_2 into F1⊗2F2F_1 \otimes_2 F_2 is continuous and we have*

∥u1⊗u2∥=∥u1∥⋅∥u2∥. \|u_1 \otimes u_2\| = \|u_1\| \cdot \|u_2\|.

Consider the positive hermitian form on E1E_1 given by

f(x1,y1)=∥u1∥2⟨x1∣y1⟩−⟨u1(x1)∣u1(y1)⟩. f(x_1, y_1) = \|u_1\|^2 \langle x_1 | y_1 \rangle - \langle u_1(x_1) | u_1(y_1) \rangle.

By prop. 1 (V, p. 25), there exists a positive hermitian form Φ\Phi on E1⊗E2E_1 \otimes E_2 such that

Φ(x1⊗x2,y1⊗y2)=f(x1,y1)⟨x2∣y2⟩= \Phi(x_1 \otimes x_2, y_1 \otimes y_2) = f(x_1, y_1) \langle x_2 | y_2 \rangle =
=∥u1∥2⟨x1⊗x2∣y1⊗y2⟩−⟨(u1⊗1)(x1⊗x2)∣(u1⊗1)(y1⊗y2)⟩ = \|u_1\|^2 \langle x_1 \otimes x_2 | y_1 \otimes y_2 \rangle - \langle (u_1 \otimes 1)(x_1 \otimes x_2) | (u_1 \otimes 1)(y_1 \otimes y_2) \rangle
for x1,y1x_1, y_1 in E1E_1 and x2,y2x_2, y_2 in E2E_2. By linearity we have
Φ(z,t)=∥u1∥2⟨z∣t⟩−⟨(u1⊗1)(z)∣(u1⊗1)(t)⟩ \Phi(z, t) = \|u_1\|^2 \langle z|t \rangle - \langle (u_1 \otimes 1)(z) | (u_1 \otimes 1)(t) \rangle
for z,tz, t in E1⊗E2E_1 \otimes E_2. Since Φ\Phi is positive, we get Φ(z,z)≥0\Phi(z, z) \geq 0, that is, ∥(u1⊗1).z∥2\|(u_1 \otimes 1).z\|_2

≤∥u1∥⋅∥z∥2 for z∈E1⊗2E2, or ∥u1⊗1∥≤∥u1∥. Similarly we prove the inequality ∥1⊗u2∥≤∥u2∥, and since u1⊗u2=(u1⊗1)∘(1⊗u2), we get \leq \|u_1\| \cdot \|z\|_2 \text{ for } z \in E_1 \otimes_2 E_2, \text{ or } \|u_1 \otimes 1\| \leq \|u_1\|. \text{ Similarly we prove the inequality } \|1 \otimes u_2\| \leq \|u_2\|, \text{ and since } u_1 \otimes u_2 = (u_1 \otimes 1) \circ (1 \otimes u_2), \text{ we get}
∥u1⊗u2∥≤∥u1∥⋅∥u2∥. \|u_1 \otimes u_2\| \leq \|u_1\| \cdot \|u_2\|.
On the other hand,
∥u1∥⋅∥u2∥=sup⁡∥x1∥≤1,∥x2∥≤1∥u1(x1)∥⋅∥u2(x2)∥ \|u_1\| \cdot \|u_2\| = \sup_{\|x_1\| \leq 1, \|x_2\| \leq 1} \|u_1(x_1)\| \cdot \|u_2(x_2)\|
=sup⁡∥x1∥≤1,∥x2∥≤1∥(u1⊗u2)(x1⊗x2)∥2≤∥u1⊗u2∥. = \sup_{\|x_1\| \leq 1, \|x_2\| \leq 1} \|(u_1 \otimes u_2)(x_1 \otimes x_2)\|_2 \leq \|u_1 \otimes u_2\|.
This completes the proof of prop. 2. Q.E.D.

Let E1,...,EnE_1, ..., E_n be prehilbertian spaces (n≥2n \geq 2). We define the tensor product E1⊗2...⊗2EnE_1 \otimes_2 ... \otimes_2 E_n (also denoted by ⨂i=1nEi\bigotimes_{i=1}^n E_i) by induction, by

E1⊗2...⊗2En=(E1⊗2...⊗2En−1)⊗2En. E_1 \otimes_2 ... \otimes_2 E_n = (E_1 \otimes_2 ... \otimes_2 E_{n-1}) \otimes_2 E_n.
Hence, by the definition of scalar product, we have
⟨x1⊗...⊗xn∣y1⊗...⊗yn⟩=∏i=1n⟨xi∣yi⟩, \langle x_1 \otimes ... \otimes x_n | y_1 \otimes ... \otimes y_n \rangle = \prod_{i=1}^n \langle x_i | y_i \rangle,
and in particular 1^1
∥x1⊗...⊗xn∥2=∥x1∥⋯∥xn∥, \|x_1 \otimes ... \otimes x_n\|_2 = \|x_1\| \cdots \|x_n\|,
for xi,yix_i, y_i in EiE_i (1≤i≤n1 \leq i \leq n). If the EiE_i are Hausdorff, then so is E1⊗2...⊗2EnE_1 \otimes_2 ... \otimes_2 E_n.

Let F1,...,FnF_1, ..., F_n be prehilbertian spaces and ui∈L(Ei;Fi)u_i \in \mathscr{L}(E_i; F_i) for 1≤i≤n1 \leq i \leq n. By induction on nn, prop. 2 implies that u1⊗...⊗unu_1 \otimes ... \otimes u_n is a continuous linear mapping from E1⊗2...⊗2EnE_1 \otimes_2 ... \otimes_2 E_n into F1⊗2...⊗2FnF_1 \otimes_2 ... \otimes_2 F_n and that

∥u1⊗...⊗un∥=∥u1∥⋯∥un∥. \|u_1 \otimes ... \otimes u_n\| = \|u_1\| \cdots \|u_n\|.
Let σ∈Sn\sigma \in S_n be a permutation of the set {1,2,...,n}\{1, 2, ..., n\}. Because of (6), the linear mapping pσp_\sigma from E1⊗2...⊗2EnE_1 \otimes_2 ... \otimes_2 E_n onto Eσ−1(1)⊗2...⊗2Eσ−1(n)E_{\sigma^{-1}(1)} \otimes_2 ... \otimes_2 E_{\sigma^{-1}(n)} characterized by
pσ(x1⊗...⊗xn)=xσ−1(1)⊗...⊗xσ−1(n) p_\sigma(x_1 \otimes ... \otimes x_n) = x_{\sigma^{-1}(1)} \otimes ... \otimes x_{\sigma^{-1}(n)}
is a prehilbertian space isomorphism ("commutativity of tensor product").

Similarly, consider a partition of {1,2,...,n}\{1, 2, ..., n\} into mm consecutive intervals I1,...,InI_1, ..., I_n with Ik=[ak,ak+1−1]I_k = [a_k, a_{k+1} - 1] for 1≤k≤m1 \leq k \leq m. Put

Fk=⨂i=akak+1−1Ei(1≤k≤m). F_k = \bigotimes_{i=a_k}^{a_{k+1}-1} E_i \quad (1 \leq k \leq m).

1^1 Here again we put ∥z∥2=⟨z∣z⟩1/2\|z\|_2 = \langle z|z \rangle^{1/2} for zz in E1⊗2...⊗2EnE_1 \otimes_2 ... \otimes_2 E_n.

The canonical isomorphism from F1⊗...⊗FmF_1 \otimes ... \otimes F_m onto E1⊗...⊗EnE_1 \otimes ... \otimes E_n which transforms ⨂k=1m⨂i=akak+1−1xi\bigotimes_{k=1}^{m} \bigotimes_{i=a_k}^{a_{k+1}-1} x_i into x1⊗...⊗xnx_1 \otimes ... \otimes x_n (A, II, § 3, No. 9) is a prehilbertian space isomorphism (« associativity of the tensor product »).

2. Hilbertian tensor product of hilbertian spaces

Definition 1

Let E1,...,EnE_1, ..., E_n be hilbertian spaces. The completion of the Hausdorff prehilbertian space E1⊗^2...⊗^2EnE_1 \hat{\otimes}_2 ... \hat{\otimes}_2 E_n is called the hilbertian tensor product of the EiE_i and is denoted by E1⊗^2...⊗^2EnE_1 \hat{\otimes}_2 ... \hat{\otimes}_2 E_n (or ⊗^21≤i≤nEi\hat{\otimes}_{2 \atop 1 \leq i \leq n} E_i).

Let F1,...,FnF_1, ..., F_n be hilbertian spaces and ui∈L(Ei,Fi)u_i \in \mathscr{L}(E_i, F_i) for 1≤i≤n1 \leq i \leq n. The continuous linear mapping u1⊗...⊗unu_1 \otimes ... \otimes u_n then extends to a continuous linear mapping u1⊗^2...⊗^2unu_1 \hat{\otimes}_2 ... \hat{\otimes}_2 u_n from E1⊗^2...⊗^2EnE_1 \hat{\otimes}_2 ... \hat{\otimes}_2 E_n into F1⊗^2...⊗^2FnF_1 \hat{\otimes}_2 ... \hat{\otimes}_2 F_n. We have

∥u1⊗^2...⊗^2un∥=∥u1∥...∥un∥ \|u_1 \hat{\otimes}_2 ... \hat{\otimes}_2 u_n\| = \|u_1\| ... \|u_n\|

by formula (8) of V, p. 27. Moreover, if 1E1_E denotes the identity mapping of any hilbertian space EE, we have

1E1⊗^2...⊗^21En=1EwithE=E1⊗^2...⊗^2En. 1_{E_1} \hat{\otimes}_2 ... \hat{\otimes}_2 1_{E_n} = 1_E \quad \text{with} \quad E = E_1 \hat{\otimes}_2 ... \hat{\otimes}_2 E_n .

Finally, if G1,...,GnG_1, ..., G_n are hilbertian spaces and vi∈L(Fi;Gi)v_i \in \mathscr{L}(F_i; G_i) for 1≤i≤n1 \leq i \leq n, we get

(v1∘u1)⊗^2...⊗^2(vn∘un)=(v1⊗^2...⊗^2vn)∘(u1⊗^2...⊗^2un). (v_1 \circ u_1) \hat{\otimes}_2 ... \hat{\otimes}_2 (v_n \circ u_n) = (v_1 \hat{\otimes}_2 ... \hat{\otimes}_2 v_n) \circ (u_1 \hat{\otimes}_2 ... \hat{\otimes}_2 u_n) .

We leave to the reader the task of formulating the « commutativity » and the « associativity » of the hilbertian tensor product, in analogy with what has been said above for prehilbertian spaces.

Remark

Let E1,...,EnE_1, ..., E_n be Hausdorff prehilbertian spaces, and E^1,...,E^n\hat{E}_1, ..., \hat{E}_n their respective completions. Then E1⊗2...⊗2EnE_1 \otimes_2 ... \otimes_2 E_n is a prehilbertian subspace of E^1⊗2...⊗2E^n\hat{E}_1 \otimes_2 ... \otimes_2 \hat{E}_n. Since the mapping (x1,...,xn)↦x1⊗...⊗xn(x_1, ..., x_n) \mapsto x_1 \otimes ... \otimes x_n from E^1×...×E^n\hat{E}_1 \times ... \times \hat{E}_n into E^1⊗2...⊗2E^n\hat{E}_1 \otimes_2 ... \otimes_2 \hat{E}_n is continuous, E1⊗2...⊗2EnE_1 \otimes_2 ... \otimes_2 E_n is dense in E^1⊗2...⊗2E^n\hat{E}_1 \otimes_2 ... \otimes_2 \hat{E}_n. A fortiori the completion of E1⊗2...⊗2EnE_1 \otimes_2 ... \otimes_2 E_n is precisely the hilbertian space E^1⊗^2...⊗^2E^n\hat{E}_1 \hat{\otimes}_2 ... \hat{\otimes}_2 \hat{E}_n. This completion is sometimes simply written as E1⊗^2...⊗^2EnE_1 \hat{\otimes}_2 ... \hat{\otimes}_2 E_n (or ⊗^21≤i≤nEi\hat{\otimes}_{2 \atop 1 \leq i \leq n} E_i).

Proposition 3

Let E1,...,EnE_1, ..., E_n be hilbertian spaces. Suppose that for 1≤i≤n1 \leq i \leq n the space EiE_i is a hilbertian sum of a family (Ei,α)α∈A(i)(E_{i,\alpha})_{\alpha \in A(i)} of closed vector subspaces. Then E1⊗2...⊗2EnE_1 \otimes_2 ... \otimes_2 E_n is a hilbertian sum of the family of subspaces E1,α1⊗^2...⊗^2En,αnE_{1,\alpha_1} \hat{\otimes}_2 ... \hat{\otimes}_2 E_{n,\alpha_n} with (α1,...,αn)(\alpha_1, ..., \alpha_n) ranging over A(1)×...×A(n)A(1) \times ... \times A(n).

By formula (6) of V, p. 27, the subspaces E1,α1⊗^2...⊗^2En,αnE_{1,\alpha_1} \hat{\otimes}_2 ... \hat{\otimes}_2 E_{n,\alpha_n} of E1⊗^2...⊗^2EnE_1 \hat{\otimes}_2 ... \hat{\otimes}_2 E_n are mutually orthogonal. For every integer ii between 1 and nn, the set ⋃α∈A(i)Ei,α\bigcup_{\alpha \in A(i)} E_{i,\alpha} is total in EiE_i, and the multilinear mapping (x1,...,xn)↦x1⊗...⊗xn(x_1, ..., x_n) \mapsto x_1 \otimes ... \otimes x_n is continuous.

It follows that the union of the subspaces E1,α1⊗^2...⊗^2En,αnE_{1,\alpha_1} \hat{\otimes}_2 ... \hat{\otimes}_2 E_{n,\alpha_n} is total, hence prop. 3.

Corollary 1

— For 1≤i≤n1 \leq i \leq n, let (ei,α)α∈A(i)(e_{i,\alpha})_{\alpha \in A(i)} be an orthonormal basis of EiE_i. Then the family of vectors e1,α1⊗…⊗en,αne_{1,\alpha_1} \otimes \ldots \otimes e_{n,\alpha_n} as (α1,…,αn)(\alpha_1, \ldots, \alpha_n) ranges over A(1)×⋯×A(n)A(1) \times \cdots \times A(n) is an orthonormal basis of E1⊗^2…⊗^2EnE_1 \hat{\otimes}_2 \ldots \hat{\otimes}_2 E_n.

Corollary 2

— Let E1E_1 and E2E_2 be two hilbertian spaces, and (ei)i∈I(e_i)_{i \in I} an orthonormal basis of E1E_1. Let (yi)i∈I(y_i)_{i \in I} be a family of elements of E2E_2, such that ∑i∈I∥yi∥2<+∞\sum_{i \in I} \| y_i \| ^2 < + \infty. Then the family (ei⊗yi)i∈I(e_i \otimes y_i)_{i \in I} is summable in E1⊗^2E2E_1 \hat{\otimes}_2 E_2; moreover, every element of E1⊗E2E_1 \otimes E_2 can be written uniquely in the form ∑i∈Iei⊗yi\sum_{i \in I} e_i \otimes y_i with ∑i∈I∥yi∥2<+∞\sum_{i \in I} \| y_i \| ^2 < + \infty.

Let FiF_i be the line in E1E_1 generated by the eie_i (i∈Ii \in I). Then E1E_1 is the hilbertian sum of the family of subspaces (Fi)i∈I(F_i)_{i \in I}. By prop. 3, the space E1⊗^2E2E_1 \hat{\otimes}_2 E_2 is the hilbertian sum of the family of subspaces (Fi⊗^2E2)i∈I(F_i \hat{\otimes}_2 E_2)_{i \in I}, hence cor. 2 follows.

Example 1

By cor. 1, the space ℓ2(I)⊗^2ℓ2(J)\ell^2(I) \hat{\otimes}_2 \ell^2(J) is canonically isomorphic to ℓ2(I×J)\ell^2(I \times J), the tensor product x⊗yx \otimes y of x=(xi)i∈Ix = (x_i)_{i \in I} and y=(yj)j∈Jy = (y_j)_{j \in J} can be identified with the family (xiyj)i∈I,j∈J(x_i y_j)_{i \in I, j \in J}. Similarly, by cor. 2, ℓ2(I)⊗^2E\ell^2(I) \hat{\otimes}_2 E can be identified with ℓE2(I)\ell^2_E(I), in such a way that we have (xi)i∈I⊗y=(xiy)i∈I(x_i)_{i \in I} \otimes y = (x_i y)_{i \in I} for every yy in the hilbertian space EE.

Example 2

\* Let XX be a Hausdorff topological space, and μ\mu a positive measure on XX. Let EE be a hilbertian space. We can identify L2(X,μ)⊗^2EL^2(X, \mu) \hat{\otimes}_2 E with LE2(X,μ)L^2_E(X, \mu) in a canonical way : if ff is the class of the square integrable scalar function ff on XX, and if aa belongs to EE, then f⊗af \otimes a is the class of the function x↦f(x).ax \mapsto f(x).a with values in EE.

Let YY be a Hausdorff topological space and ν\nu a positive measure on YY. In an analogous manner, we can identify the hilbertian spaces L2(X,μ)⊗^2L2(Y,ν)L^2(X, \mu) \hat{\otimes}_2 L^2(Y, \nu) and L2(X×Y,μ⊗ν)L^2(X \times Y, \mu \otimes \nu); then f⊗gf \otimes g can be identified with the class of the function (x,y)↦f(x)g(y)(x, y) \mapsto f(x)g(y) on X×YX \times Y. \

3. Symmetric hilbertian powers

Let EE be a hilbertian space, and let nn be a positive integer. Let T^n(E)\hat{T}^n(E) or E⊗^nE^{\hat{\otimes} n} denote the tensor product of nn hilbertian spaces each equal to EE. In other words, T^n(E)\hat{T}^n(E) is the completion of the space Tn(E)=E⊗…⊗ET^n(E) = E \otimes \ldots \otimes E (nn factors) for the Hausdorff prehilbertian space structure defined by

⟨x1⊗…⊗xn∣y1⊗…⊗yn⟩=∏i=1n⟨xi∣yi⟩. \langle x_1 \otimes \ldots \otimes x_n | y_1 \otimes \ldots \otimes y_n \rangle = \prod_{i=1}^n \langle x_i | y_i \rangle .

If (ei)i∈I(e_i)_{i \in I} is an orthonormal basis of EE, the family of vectors ei1⊗…⊗eine_{i_1} \otimes \ldots \otimes e_{i_n} for i1,…,ini_1, \ldots, i_n in II, is an orthonormal basis of T^n(E)\hat{T}^n(E) (V, p. 29, cor. 1). We get T^∘(E)=K\hat{T}^\circ(E) = K.

Let σ∈Sn\sigma \in S_n be a permutation of the set {1,2,…,n}\{ 1, 2, \ldots, n \}. By V, p. 27, there exists an automorphism pσp_\sigma of T^n(E)\hat{T}^n(E) characterized by

pσ(x1⊗…⊗xn)=xσ−1(1)⊗…⊗xσ−1(n). p_\sigma(x_1 \otimes \ldots \otimes x_n) = x_{\sigma^{-1}(1)} \otimes \ldots \otimes x_{\sigma^{-1}(n)} .

We have pστ=pσpτp_{\sigma \tau} = p_{\sigma} p_{\tau} for σ,τ\sigma, \tau in Sn\mathfrak{S}_n, and consequently the endomorphism Πn=1n!∑σ∈Snpσ\Pi_n = \frac{1}{n!} \sum_{\sigma \in \mathfrak{S}_n} p_{\sigma} of the vector space T^n(E)\hat{\mathbf{T}}^n(E) is the orthoprojector onto the subspace of all elements left invariant by Sn\mathfrak{S}_n. However (A, III, § 6, No. 3), Πn\Pi_n maps the « algebraic » tensor product Tn(E)\mathbf{T}^n(E) onto the subspace TSn(E)\mathbf{TS}^n(E) of all symmetric tensors of order nn. In other words, the image of Πn\Pi_n is the completion of the space TSn(E)\mathbf{TS}^n(E) endowed with a scalar product induced by that of Tn(E)\mathbf{T}^n(E); this completion will be denoted by TS~n(E)\widetilde{\mathbf{TS}}^n(E).

Let Sn(E)\mathbf{S}^n(E) be the nnth symmetric power of the vector space EE (A, III, § 6, No. 1). The canonical mapping from Tn(E)\mathbf{T}^n(E) onto Sn(E)\mathbf{S}^n(E) defines by restriction an isomorphism λn\lambda_n from TSn(E)\mathbf{TS}^n(E) onto Sn(E)\mathbf{S}^n(E). We verify immediately that the inverse isomorphism is given by

μn(x1…xn)=Πn(x1⊗…⊗xn)=1n!∑σ∈Snxσ−1(1)⊗…⊗xσ−1(n) \mu_n(x_1 \ldots x_n) = \Pi_n(x_1 \otimes \ldots \otimes x_n) = \frac{1}{n!} \sum_{\sigma \in \mathfrak{S}_n} x_{\sigma^{-1}(1)} \otimes \ldots \otimes x_{\sigma^{-1}(n)}

for x1,…,xnx_1, \ldots, x_n in EE.

We define a Hausdorff prehilbertian space structure on Sn(E)\mathbf{S}^n(E) by putting

⟨u∣v⟩=n!⟨μn(u)∣μn(v)⟩. \langle u|v \rangle = n! \langle \mu_n(u)|\mu_n(v) \rangle .

We then have (compare with formula (29) of A, III, § 11, No. 5)

⟨x1…xn∣y1…yn⟩=∑σ∈Sn∏i=1n⟨xi∣yσ(i)⟩, \langle x_1 \ldots x_n|y_1 \ldots y_n \rangle = \sum_{\sigma \in \mathfrak{S}_n} \prod_{i=1}^n \langle x_i|y_{\sigma(i)} \rangle ,

and in particular

⟨xn∣yn⟩=n!⟨x∣y⟩n. \langle x^n|y^n \rangle = n! \langle x|y \rangle^n .

Let S^n(E)\hat{\mathbf{S}}^n(E) denote the completion of the pre-Hilbertian space Sn(E)\mathbf{S}^n(E) and S^(E)\hat{\mathbf{S}}(E) the external hilbertian sum of the hilbertian spaces S^n(E)\hat{\mathbf{S}}^n(E). We can show (V, p. 73, exerc. 1) that the multiplication in the algebra S(E)\mathbf{S}(E) cannot be extended by continuity to S(E)\mathbf{S}(E), unless EE is just 0.

Proposition 4

Let (ei)i∈I(e_i)_{i \in I} be an orthonormal basis of the hilbertian space EE. For every α\alpha in N(I)\mathbf{N}^{(I)}, put

zα=∏i∈Ieiαi/(αi!)1/2. z_{\alpha} = \prod_{i \in I} e_i^{\alpha_i}/(\alpha_i!)^{1/2} .

Then (zα)α∈N(I)(z_{\alpha})_{\alpha \in \mathbf{N}^{(I)}} is an orthonormal basis of S^(E)\hat{\mathbf{S}}(E).

Let E0E_0 be the vector subspace of EE generated by the vectors eie_i for ii ranging over II. Then the zαz_{\alpha} form a basis of the vector space S(E0)\mathbf{S}(E_0) (A, III, § 6, No. 6). But E0E_0 is dense in EE, and the multilinear mapping (x1,…,xn)↦x1…xn(x_1, \ldots, x_n) \mapsto x_1 \ldots x_n from E×⋯×EE \times \cdots \times E into S(E)\mathbf{S}(E) is continuous for all n⩾1n \geqslant 1; hence S(E0)\mathbf{S}(E_0) is dense in S(E)\mathbf{S}(E). It is now enough to prove that the family of the zαz_\alpha is orthonormal. First observe that S^n(E)\hat{S}^n(E) and S^m(E)\hat{S}^m(E) are orthogonal for n≠mn \neq m. Hence it is enough to prove the formula

⟨zα∣zβ⟩={1if α=β0if α≠β \langle z_\alpha | z_\beta \rangle = \left\{ \begin{array}{ll} 1 & \text{if } \alpha = \beta \\ 0 & \text{if } \alpha \neq \beta \end{array} \right.

when ∣α∣=∑i∈Iαi|\alpha| = \sum_{i \in I} \alpha_i and ∣β∣=∑i∈Iβi|\beta| = \sum_{i \in I} \beta_i are equal to the same integer nn.

Consider a partition (Pi)i∈I(P_i)_{i \in I} of the set {1,2,...,n}\{ 1, 2, ..., n \} such that Card Pi=αiP_i = \alpha_i for all i∈Ii \in I. Put xk=eix_k = e_i if kk belongs to PiP_i, then x1...xn=∏i∈Ieiαix_1 ... x_n = \prod_{i \in I} e_i^{\alpha_i}. Similarly we define (Qi)i∈I(Q_i)_{i \in I} and yky_k in such a way that Card Qi=βiQ_i = \beta_i and y1...yn=∏i∈Ieiβiy_1 ... y_n = \prod_{i \in I} e_i^{\beta_i}. Since the eie_i are mutually orthogonal, we have ⟨xk∣yσ(k)⟩=0\langle x_k | y_{\sigma(k)} \rangle = 0 except if there exists an indice i∈Ii \in I such that k∈Pik \in P_i and σ(k)∈Qi\sigma(k) \in Q_i. By formula (15), we then have ⟨x1...xn∣y1...yn⟩=0\langle x_1 ... x_n | y_1 ... y_n \rangle = 0 unless there exists a permutation σ∈Sn\sigma \in \mathfrak{S}_n such that σ(Pi)=Qi\sigma(P_i) = Q_i for all i∈Ii \in I, which implies that α=β\alpha = \beta. Then ⟨zα∣zβ⟩=0\langle z_\alpha | z_\beta \rangle = 0 for α≠β\alpha \neq \beta. The same argument proves that ∥x1...xn∥2\| x_1 ... x_n \| ^2 is equal to the number of the σ∈Sn\sigma \in \mathfrak{S}_n such that σ(Pi)=Pi\sigma(P_i) = P_i for all i∈Ii \in I, hence equal to ∏i∈Iαi!\prod_{i \in I} \alpha_i !. We get ∥zα∥=1\| z_\alpha \| = 1, and the proposition is proved.

Corollary

— *Suppose that the hilbertian space E is the direct sum of the orthogonal subspaces M and N. The canonical isomorphism g from S(M)⊗S(N)S(M) \otimes S(N) onto S(E)S(E) (A, III, § 6, No. 6) extends uniquely to a hilbertian space isomorphism h from S^(M)⊗^2S^(N)\hat{S}(M) \hat{\otimes}_2 \hat{S}(N) onto S^(E)\hat{S}(E).

Let (ei)i∈I(e_i)_{i \in I} (resp. (fj)j∈J(f_j)_{j \in J}) be an orthonormal basis of the hilbertian space M (resp. N) and let M0M_0 (resp. N0N_0) be the vector subspace of E generated by the vectors eie_i (resp. fjf_j). Put E0=M0+N0E_0 = M_0 + N_0 and let g0g_0 be the canonical isomorphism from S(M0)⊗S(N0)S(M_0) \otimes S(N_0) onto S(E0)S(E_0). Put

zα=∏i∈Ieiαi/(αi!)1/2,tβ=∏j∈Jfjβj/(βj!)1/2 z_\alpha = \prod_{i \in I} e_i^{\alpha_i}/(\alpha_i!)^{1/2}, \quad t_\beta = \prod_{j \in J} f_j^{\beta_j}/(\beta_j!)^{1/2}

for α∈N(I)\alpha \in \mathbf{N}^{(I)} and β∈N(J)\beta \in \mathbf{N}^{(J)}. By prop. 4, we have thus defined the orthonormal bases (zα)α∈N(I)(z_\alpha)_{\alpha \in \mathbf{N}^{(I)}} for S^(M)\hat{S}(M), (tβ)β∈N(J)(t_\beta)_{\beta \in \mathbf{N}^{(J)}} for S^(N)\hat{S}(N) and (zαtβ)α∈N(I),β∈N(J)(z_\alpha t_\beta)_{\alpha \in \mathbf{N}^{(I)}, \beta \in \mathbf{N}^{(J)}} for S^(E)\hat{S}(E). Since we have zαtβ=g0(zα⊗tβ)z_\alpha t_\beta = g_0(z_\alpha \otimes t_\beta), and since the elements zα⊗tβz_\alpha \otimes t_\beta form an orthonormal basis of S^(M)⊗^2S^(N)\hat{S}(M) \hat{\otimes}_2 \hat{S}(N) (V, p. 29, cor. 1), we see that g0g_0 extends to a hilbertian space isomorphism h:S^(M)⊗^2S^(N)→S^(E)h : \hat{S}(M) \hat{\otimes}_2 \hat{S}(N) \to \hat{S}(E). By the construction, we have

h(x1...xm⊗y1...yn)=x1...xmy1...yn h(x_1 ... x_m \otimes y_1 ... y_n) = x_1 ... x_m y_1 ... y_n

for all vectors x1,...,xmx_1, ..., x_m in M0M_0 and y1,...,yny_1, ..., y_n in N0N_0. By continuity, the same relation also holds for the vectors x1,...,xnx_1, ..., x_n in M and the vectors y1,...,yny_1, ..., y_n in N; in other words, hh extends gg. The uniqueness of hh is clear.

Let E and F be two hilbertian spaces and u∈L(E;F)u \in \mathscr{L}(E; F). The linear mapping T^n(u)=u⊗^2...⊗^2u\hat{T}^n(u) = u \hat{\otimes}_2 ... \hat{\otimes}_2 u (nn factors) from T^n(E)\hat{T}^n(E) into T^n(F)\hat{T}^n(F) is continuous with norm ∥u∥n\|u\|^n (V, p. 28, formula (10)). Moreover, formulas (13) and (14) of V, p. 30, show that there exists an isomorphism ϕn,E\phi_{n,E} from S^n(E)\hat{S}^n(E) onto the subspace TSn^(E)\widehat{T S^n}(E) of T^n(E)\hat{T}^n(E), and only one, such that

(18)ϕn,E(x1…xn)=1(n!)1/2∑σ∈Snxσ(1)⊗…⊗xσ(n)(x1,...,xn in E). (18) \quad \phi_{n,E}(x_1 \ldots x_n) = \frac{1}{(n!)^{1/2}} \sum_{\sigma \in \mathfrak{S}_n} x_{\sigma(1)} \otimes \ldots \otimes x_{\sigma(n)} \quad (x_1, ..., x_n \text{ in } E) .

Hence there exists a continuous linear mapping S^n(u)\hat{S}^n(u) from S^n(E)\hat{S}^n(E) into S^n(F)\hat{S}^n(F) and only one which makes the following diagram commutative

S^n(E)→ϕn,ET^n(E)↓S^n(u)↓T^n(u)S^n(F)→ϕn,FT^n(F) \begin{array}{ccc} \hat{S}^n(E) & \xrightarrow{\phi_{n,E}} & \hat{T}^n(E) \\ \downarrow \hat{S}^n(u) & & \downarrow \hat{T}^n(u) \\ \hat{S}^n(F) & \xrightarrow{\phi_{n,F}} & \hat{T}^n(F) \end{array}

We now prove the formula

(19)∥S^n(u)∥=∥u∥n. (19) \qquad \| \hat{S}^n(u) \| = \| u \|^{n} .

We clearly have ∥S^n(u)∥≤∥T^n(u)∥=∥u∥n\| \hat{S}^n(u) \| \leq \| \hat{T}^n(u) \| = \| u \|^{n}. Further, for all x∈Ex \in E, we have S^n(u)(xn)=u(x)n,∥xn∥=(n!)1/2∥x∥n\hat{S}^n(u)(x^n) = u(x)^n, \| x^n \| = (n!)^{1/2} \| x \|^{n} and ∥u(x)n∥=(n!)1/2∥u(x)∥n\| u(x)^n \| = (n!)^{1/2} \| u(x) \|^{n}, which gives

∥S^n(u)∥⋅∥x∥n≥∥u(x)∥n; \| \hat{S}^n(u) \| \cdot \| x \|^{n} \geq \| u(x) \|^{n} ;

it follows immediately that ∥S^n(u)∥≥∥u∥n\| \hat{S}^n(u) \| \geq \| u \|^{n}, hence formula (19).

It is clear that we have the formulas

(20)S^n(1E)=1S^n(E) (20) \qquad \hat{S}^n(1_E) = 1_{\hat{S}_n(E)}
(21)S^n(v∘u)=S^n(v)∘S^n(u)forv∈L(F;G). (21) \qquad \hat{S}^n(v \circ u) = \hat{S}^n(v) \circ \hat{S}^n(u) \quad \text{for} \quad v \in \mathscr{L}(F ; G) .

Finally, S^n(u)\hat{S}^n(u) coincides on Sn(E)S^n(E) with the linear mapping Sn(u):Sn(E)→Sn(F)S^n(u) : S^n(E) \to S^n(F) defined in A, III, § 6, No. 2 since it transforms x1...xnx_1 ... x_n into u(x1)...u(xn)u(x_1) ... u(x_n) for every x1,...,xnx_1, ..., x_n in EE.

Example 1

Let d≥1d \geq 1 be an integer and ω\omega a positive function on Rd\mathbf{R}^d, locally integrable with respect to the Lebesgue measure μ\mu. Let EE be the hilbertian space L2(Rd,ω.μ)L^2(\mathbf{R}^d, \omega.\mu), and let S=S(E)S = S(E). Then SS can be identified with the space of all sequences f=(fn)n≥0f = (f_n)_{n \geq 0}, where each fnf_n is a function on (Rd)n(\mathbf{R}^d)^n which is measurable with respect to the Lebesgue measure μ⊗...⊗μ\mu \otimes ... \otimes \mu (nn factors) and invariant under the permutations of the nn factors in (Rd)n(\mathbf{R}^d)^n, and is such that

(22)∥f∥2=∑n=0∞n!∫Rd...∫Rd∣fn(x1,...,xn)∣2ω(x1)...ω(xn)dx1...dxn (22) \qquad \| f \|^{2} = \sum_{n=0}^{\infty} n! \int_{\mathbf{R}^d} ... \int_{\mathbf{R}^d} |f_n(x_1, ..., x_n)|^2 \omega(x_1) ... \omega(x_n) dx_1 ... dx_n

is finite. The norm ∥f∥\| f \| in SS is defined by formula (22). The hilbertian space SS defined above is called the symmetric Fock space corresponding to the weight ω\omega.

Example 2

Let XX be a Hausdorff topological space, μ\mu a positive measure of norm 1 on XX and EE a hilbertian subspace of the real hilbertian space LR2(X,μ)L^2_{\mathbf{R}}(X, \mu). We say that EE is a gaussian space if the following equivalent conditions are satisfied :

a) for all f∈Ef \in E, we have ∫Xeifdμ=exp⁡(−∥f∥2/2);\int_X e^{i f} d\mu = \exp(-\| f \|^{2}/2) ;

b) for all f∈Ef \in E with norm 1, the image of the measure μ\mu under ff is the measure

(2π)−1/2 e−x2/2dx. (2\pi)^{-1/2}\ e^{-x^2/2} dx .
on R\mathbf{R}.

Suppose EE is a gaussian space.* Let f1,...,fnf_1, ..., f_n be functions whose classes fif_i belong to EE. We define a function : f1...fnf_1 ... f_n : on X (called « Wick’s product » of f1,...,fnf_1, ..., f_n) by the formula

(23):f1...fn:=∑0≤2p≤n(−1)p∑σ∈Ip∏i=1p⟨fσ(2i−1)∣fσ(2i)⟩∏j=2p+1nfσ(j), (23)\quad :f_1 ... f_n: = \sum_{0 \leq 2p \leq n} (-1)^p \sum_{\sigma \in I_p} \prod_{i=1}^p \langle f_{\sigma(2i-1)}|f_{\sigma(2i)} \rangle \prod_{j=2p+1}^n f_{\sigma(j)},
where IpI_p is the set of permutations σ\sigma of {1,2,...,n}\{1, 2, ..., n\} such that we have
σ(1)<σ(2),...,σ(2p−1)<σ(2p)σ(1)<σ(3)<...<σ(2p−1)σ(2p+1)<σ(2p+2)<...<σ(n). \begin{align*} &\sigma(1) < \sigma(2), ..., \sigma(2p-1) < \sigma(2p) \\ &\sigma(1) < \sigma(3) < ... < \sigma(2p-1) \\ &\sigma(2p+1) < \sigma(2p+2) < ... < \sigma(n). \end{align*}

Then there exists an isomorphism ϕ\phi from S^(E)\hat{S}(E) onto a hilbertian subspace of LR2(X,μ)L^2_R(X, \mu) which transforms the product f1...fnf_1 ... f_n of f1,...,fnf_1, ..., f_n, calculated in S^(E)\hat{S}(E), into (:f1...fn:)(:f_1 ... f_n:). Suppose that X is a Souslin space and that there exists a countable family (fn)(f_n) of functions whose classes belong to E and which separate the points of X. Then ϕ\phi is an isomorphism from S^(E)\hat{S}(E) onto LR2(X,μ)L^2_R(X, \mu). \

4. Exterior hilbertian powers

Let E be a hilbertian space and nn a positive integer. For every permutation σ∈Sn\sigma \in \mathfrak{S}_n, let εσ\varepsilon_\sigma denote its signature; put an=1n!∑σ∈Snεσpσa_n = \frac{1}{n!} \sum_{\sigma \in \mathfrak{S}_n} \varepsilon_\sigma p_\sigma in L(T^n(E))\mathscr{L}(\hat{T}^n(E)) (V, p. 29).

It is immediate that ana_n is an orthoprojector, whose image An′‾(E)\overline{\mathbf{A}'_n}(E) is the closure in T^n(E)\hat{T}^n(E) of the space An′(E)\mathbf{A}'_n(E) of all antisymmetric tensors of order nn (A, III, § 7, No. 4). There exists an isomorphism πn\pi_n from Λn(E)\Lambda^n(E) onto An′(E)\mathbf{A}'_n(E) which is characterized by

(24)πn(x1∧...∧xn)=an(x1⊗...⊗xn)=1n!∑σ∈Snεσxσ(1)⊗...⊗xσ(n) (24)\quad \pi_n(x_1 \wedge ... \wedge x_n) = a_n(x_1 \otimes ... \otimes x_n) = \frac{1}{n!} \sum_{\sigma \in \mathfrak{S}_n} \varepsilon_\sigma x_{\sigma(1)} \otimes ... \otimes x_{\sigma(n)}
for x1,...,xnx_1, ..., x_n in E. We can now define a Hausdorff prehilbertian space structure on Λn(E)\Lambda^n(E) by putting
(25)⟨u∣v⟩=n!⟨πn(u)∣πn(v)⟩. (25)\quad \langle u|v \rangle = n!\langle \pi_n(u)|\pi_n(v) \rangle .
More explicitely, we have (compare with formula (30) of A, III, § 11, No. 5).
(26)⟨x1∧...∧xn∣y1∧...∧yn⟩=det⁡(⟨xi∣yj′⟩) (26)\quad \langle x_1 \wedge ... \wedge x_n|y_1 \wedge ... \wedge y_n \rangle = \det(\langle x_i|y_j' \rangle)
for all x1,...,xnx_1, ..., x_n and y1,...,yny_1, ..., y_n in E.

Let Λ^n(E)\hat{\Lambda}^n(E) denote the completion of the prehilbertian space Λn(E)\Lambda^n(E), and Λ^(E)\hat{\Lambda}(E) the external hilbertian sum of the hilbertian spaces Λ^n(E)\hat{\Lambda}^n(E).

Example

— With the notations of example 1 of V, p. 32, we can identify the hilbertian space Λ^(E)\hat{\Lambda}(E) with the set of all sequences (fn)n≥0(f_n)_{n \geq 0} of measurable functions for which the number ∥f∥\|f\| defined in (22) is finite, and where each function fnf_n is antisymmetric, that is, satisfies the relation

fn(xσ(1),...,xσ(n))=εσfn(x1,...,xn) f_n(x_{\sigma(1)}, ..., x_{\sigma(n)}) = \varepsilon_\sigma f_n(x_1, ..., x_n)

for every permutation σ∈Sn\sigma \in \mathfrak{S}_n. The hilbertian space Λ^(E)\hat{\Lambda}(E) is called the antisymmetric Fock space corresponding to the weight ω\omega. \

Proposition 5

Let* (ei)i∈I(e_i)_{i \in I} be an orthonormal basis of the hilbertian space E. Endow I with a totally ordered structure. Then the set of all elements ei1∧...∧eine_{i_1} \wedge ... \wedge e_{i_n} for i1<...<ini_1 < ... < i_n is an orthonormal basis of Λ^n(E)\hat{\Lambda}^n(E).

We know (A, III, § 7, No. 8) that the elements in question form a basis of the vector space Λn(E0)\Lambda^n(E_0) where E0E_0 is the vector subspace of E generated by the vectors eie_i. Further, for i1<...<ini_1 < ... < i_n, the matrix of scalar products ⟨eik∣eil⟩\langle e_{i_k}|e_{i_l} \rangle is the unit matrix of order n; by (26), we have ∥ei1∧...∧ein∥=1\|e_{i_1} \wedge ... \wedge e_{i_n}\| = 1. Finally, if (i1,...,in)(i_1, ..., i_n) and (j1,...,jn)(j_1, ..., j_n) are two distinct, strictly increasing sequences of elements of I, then there exists an element jℓj_\ell distinct from i1,...,ini_1, ..., i_n and so we have ⟨eik∣ejℓ⟩=0\langle e_{i_k}|e_{j_\ell} \rangle = 0 for 1≤k≤n1 \leq k \leq n, and by (26), ⟨ei1∧...∧ein∣ej1∧...∧ejn⟩=0\langle e_{i_1} \wedge ... \wedge e_{i_n}|e_{j_1} \wedge ... \wedge e_{j_n} \rangle = 0. In other words, the family of elements ei1∧...∧eine_{i_1} \wedge ... \wedge e_{i_n}, for i1<...<ini_1 < ... < i_n, is orthonormal.

But E0E_0 is dense in E, and the mapping (x1,...,xn)↦x1∧...∧xn(x_1, ..., x_n) \mapsto x_1 \wedge ... \wedge x_n from E×⋯×EE \times \cdots \times E into Λn(E)\Lambda^n(E) is continuous. Consequently, Λn(E0)\Lambda^n(E_0) is dense in Λn(E)\Lambda^n(E), and proposition 5 follows.

Corollary

Suppose that the hilbertian space* E is the direct sum of two orthogonal subspaces M and N. The canonical isomorphism g from Λ(M)⊗Λ(N)\Lambda(M) \otimes \Lambda(N) onto Λ(E)\Lambda(E) (A, III, § 7, No. 7) extends in a unique way to a hilbertian space isomorphism from Λ^(M)⊗^2Λ^(N)\hat{\Lambda}(M) \hat{\otimes}_2 \hat{\Lambda}(N) onto Λ^(E)\hat{\Lambda}(E).

The proof is analogous to that of the corollary of prop. 4 (V, p. 31).

Let E and F be two hilbertian spaces and u∈L(E;F)u \in \mathscr{L}(E; F). We shall show, as in the case of symmetric powers S^n(E)\hat{S}^n(E) (V, p. 32) that the linear mapping Λ^n(u)\hat{\Lambda}^n(u) from Λ^n(E)\hat{\Lambda}^n(E) into Λ^n(F)\hat{\Lambda}^n(F) (A, III, § 7, No. 4) extends to a continuous linear mapping Λ^n(u)\hat{\Lambda}^n(u) from Λ^n(E)\hat{\Lambda}^n(E) into Λ^n(F)\hat{\Lambda}^n(F). We have the relations

Λ^n(1E)=1Λ^n(E),(27) \hat{\Lambda}^n(1_E) = 1_{\hat{\Lambda}^n(E)} , \tag{27}
Λ^n(v∘u)=Λ^n(v)∘Λ^n(u)if v belongs to L(F;G),(28) \hat{\Lambda}^n(v \circ u) = \hat{\Lambda}^n(v) \circ \hat{\Lambda}^n(u) \quad \text{if } v \text{ belongs to } \mathscr{L}(F; G) , \tag{28}
∥Λ^n(u)∥≤∥u∥n.(29) \|\hat{\Lambda}^n(u)\| \leq \|u\|^n . \tag{29}

In general we do not have equality in formula (29) (TS, IV, § 6). Finally, we have an isomorphism ψn=ψn,E\psi_n = \psi_{n,E} from Λ^n(E)\hat{\Lambda}^n(E) onto the subspace A‾n′(E)\overline{\mathbf{A}}'_n(E) of T^n(E)\hat{T}^n(E) defined by

ψn(x1∧...∧xn)=1(n!)1/2∑σ∈Snεσxσ(1)⊗...⊗xσ(n).(30) \psi_n(x_1 \wedge ... \wedge x_n) = \frac{1}{(n!)^{1/2}} \sum_{\sigma \in \mathfrak{S}_n} \varepsilon_\sigma x_{\sigma(1)} \otimes ... \otimes x_{\sigma(n)} . \tag{30}

5. Exterior multiplication

Let E be a hilbertian space. For every integer n⩾0n \geqslant 0, let θn\theta_n be the canonical mapping from Tn(E)T^n(E) onto Λn(E)\Lambda^n(E); then

θn(x1⊗…⊗xn)=x1∧…∧xn \theta_n(x_1 \otimes \ldots \otimes x_n) = x_1 \wedge \ldots \wedge x_n

for x1,…,xnx_1, \ldots, x_n in E. Let pp and qq be two positive integers; on account of formulas (30) and (31) we have

u∧v=θp+q(1(p!)1/2ψp(u)⊗1(q!)1/2ψq(v)) u \wedge v = \theta_{p+q}\left( \frac{1}{(p!)^{1/2}} \psi_p(u) \otimes \frac{1}{(q!)^{1/2}} \psi_q(v) \right)

for u∈Λp(E)u \in \Lambda^p(E) and v∈Λq(E)v \in \Lambda^q(E). Since ∥θn∥≤(n!)1/2\| \theta_n \| \leq (n!)^{1/2}, we get the inequality

∥u∧v∥≤((p+q)!p! q!)1/2∥u∥⋅∥v∥ \| u \wedge v \| \leq \left( \frac{(p+q)!}{p! \ q!} \right)^{1/2} \| u \| \cdot \| v \|

for u∈Λp(E)u \in \Lambda^p(E) and v∈Λq(E)v \in \Lambda^q(E). Consequently, the mapping (u,v)↦u∧v(u, v) \mapsto u \wedge v extends by continuity to a bilinear mapping from Λ^p(E)×Λ^q(E)\hat{\Lambda}^p(E) \times \hat{\Lambda}^q(E) into Λ^p+q(E)\hat{\Lambda}^{p+q}(E), with a norm at most equal to ((p+q)!p! q!)1/2\left( \frac{(p+q)!}{p! \ q!} \right)^{1/2} (cf. V, p. 73, exerc. 2). We again denote this by (u,v)↦u∧v(u, v) \mapsto u \wedge v.

Proposition 6

Let E be a hilbertian space. We have

∥x∧u∥≤∥x∥⋅∥u∥ \| x \wedge u \| \leq \| x \| \cdot \| u \|

for x∈Ex \in E and u∈Λ^(E)u \in \hat{\Lambda}(E).

It is clearly enough to consider the case ∥x∥=1\| x \| = 1.

Let F be the hilbertian subspace of E consisting of all vectors orthogonal to x. Since E is the hilbertian sum of F and the line K.x, it follows from the corollary of V, p. 34 that the mapping (v,w)↦v+x∧w(v, w) \mapsto v + x \wedge w is a hilbertian space isomorphism from Λ^(F)⊕Λ^(F)\hat{\Lambda}(F) \oplus \hat{\Lambda}(F) onto Λ^(E)\hat{\Lambda}(E). If u=v+x∧wu = v + x \wedge w with v,wv, w in Λ^(F)\hat{\Lambda}(F), we have x∧u=x∧vx \wedge u = x \wedge v, hence ∥x∧u∥=∥v∥≤(∥v∥2+∥w∥2)1/2=∥u∥\| x \wedge u \| = \| v \| \leq (\| v \|^2 + \| w \|^2)^{1/2} = \| u \|.

Corollary 1

a)* Let x1,…,xnx_1, \ldots, x_n be elements of the hilbertian space E. *We have

∥x1∧…∧xn∥≤∥x1∥…∥xn∥, \| x_1 \wedge \ldots \wedge x_n \| \leq \| x_1 \| \ldots \| x_n \|,

where equality holds only if one of the xix_i is null, or if the sequence (x1,…,xn)(x_1, \ldots, x_n) is orthogonal.

b) Let x1,…,xn,y1,…,ynx_1, \ldots, x_n, y_1, \ldots, y_n be elements of the hilbertian space E. We have

∣det⁡(⟨xi,yj⟩)∣≤∥x1∥…∥xn∥⋅∥y1∥…∥yn∥; |\det(\langle x_i, y_j \rangle)| \leq \| x_1 \| \ldots \| x_n \| \cdot \| y_1 \| \ldots \| y_n \|;

if the vectors xix_i and yiy_i are non-null; equality holds in (36) if and only if (x1,...,xn)(x_1, ..., x_n) and (y1,...,yn)(y_1, ..., y_n) are each an orthogonal basis of the same vector subspace of E.

The inequality (35) follows from prop. 6 by induction on nn; the inequality (36) can be deduced by applying the Cauchy-Schwarz inequality in Λn(E)\Lambda^n(E) and the formula (26) of V, p. 33.

Suppose that the sequence (x1,...,xn)(x_1, ..., x_n) is orthogonal. Then

∥x1∧...∧xn∥2=det⁡(⟨xi∣xj⟩)=∏i=1n∥xi∥2 \| x_1 \wedge ... \wedge x_n \|^2 = \det(\langle x_i | x_j \rangle) = \prod_{i=1}^n \| x_i \|^2

since ⟨xi∣xj⟩=0\langle x_i | x_j \rangle = 0 for i≠ji \neq j.

Now suppose that the vectors x1,...,xnx_1, ..., x_n are not null and do not form an orthogonal sequence. Since ∥x1∧...∧xn∥\| x_1 \wedge ... \wedge x_n \| depends symmetrically on the vectors x1,...,xnx_1, ..., x_n, we can assume that x1x_1 is not orthogonal to the subspace F of E generated by x2,...,xnx_2, ..., x_n, and that F is not simply 0. We can decompose x1x_1 in the form x1′+yx'_1 + y with y≠0y \neq 0 in F and x1′x'_1 orthogonal to F; then ∥x1′∥<∥x1∥\| x'_1 \| < \| x_1 \|. But

x1∧x2∧...∧xn=x1′∧x2∧...∧xn, x_1 \wedge x_2 \wedge ... \wedge x_n = x'_1 \wedge x_2 \wedge ... \wedge x_n,

and so

∥x1∧...∧xn∥≤∥x1′∥∥x2∥...∥xn∥<∥x1∥∥x2∥...∥xn∥. \begin{align*} \| x_1 \wedge ... \wedge x_n \| &\leq \| x'_1 \| \| x_2 \| ... \| x_n \| \\ &< \| x_1 \| \| x_2 \| ... \| x_n \|. \end{align*}

Suppose that the vectors xix_i and the vectors yiy_i are not null. The equality in relation (36) is equivalent to the conjunction of the equalities

(37)

∣⟨x1∧...∧xn∣y1∧...∧yn⟩∣=∥x1∧...∧xn∥⋅∥y1∧...∧yn∥ |\langle x_1 \wedge ... \wedge x_n | y_1 \wedge ... \wedge y_n \rangle| = \| x_1 \wedge ... \wedge x_n \| \cdot \| y_1 \wedge ... \wedge y_n \|

(38)

∥x1∧...∧xn∥=∥x1∥...∥xn∥,∥y1∧...∧yn∥=∥y1∥...∥yn∥. \| x_1 \wedge ... \wedge x_n \| = \| x_1 \| ... \| x_n \| , \quad \| y_1 \wedge ... \wedge y_n \| = \| y_1 \| ... \| y_n \| .

By the first part of the proof, the equalities (38) imply that each of the sequences (x1,...,xn)(x_1, ..., x_n) and (y1,...,yn)(y_1, ..., y_n) is orthogonal, which in turn implies that x1∧...∧xn≠0x_1 \wedge ... \wedge x_n \neq 0 and that y1∧...∧yn≠0y_1 \wedge ... \wedge y_n \neq 0. Under these conditions, relation (37) implies that there exists a scalar λ≠0\lambda \neq 0 such that y1∧...∧yn=λx1∧...∧xny_1 \wedge ... \wedge y_n = \lambda x_1 \wedge ... \wedge x_n (V, p. 3, Remark 1); in other words, that (x1,...,xn)(x_1, ..., x_n) and (y1,...,yn)(y_1, ..., y_n) are bases of the same vector subspace of E (A, III, § 11, No. 13).

Corollary 2

— Let (aij)1≤i,j≤n(a_{ij})_{1 \leq i,j \leq n} be a hermitian matrix, with complex elements, and with determinant D. Suppose that the inequality

∑i,j=1naijz‾izj≥0 \sum_{i,j=1}^n a_{ij} \overline{z}_i z_j \geq 0

holds for all complex numbers z1,...,znz_1, ..., z_n. Then

0≤D≤a11...ann. 0 \leq D \leq a_{11} ... a_{nn}.

Suppose D is non-null; the equality D=a11...annD = a_{11} ... a_{nn} holds if and only if aij=0a_{ij} = 0 for all i≠ji \neq j.

Let Φ\Phi be the hermitian form on the vector space Cn\mathbf{C}^n given by

Φ(z,z′)=∑i,j=1naijz‾izj′ \Phi(\mathbf{z}, \mathbf{z}') = \sum_{i,j=1}^n a_{ij} \overline{z}_i z'_j

for z=(z1,...,zn)\mathbf{z} = (z_1, ..., z_n) and z′=(z1′,...,zn′)\mathbf{z}' = (z'_1, ..., z'_n) in Cn\mathbf{C}^n. By hypothesis, Φ\Phi is positive.

First assume that Φ\Phi is separating, that is, that D is non-null. If (e1,...,en)(e_1, ..., e_n) is the canonical basis of Cn\mathbf{C}^n, we have Φ(ei,ej)=aij\Phi(e_i, e_j) = a_{ij}, and cor. 2 follows immediately from cor. 1, a) by putting xi=eix_i = e_i.

Since aii=Φ(ei,ei)≥0a_{ii} = \Phi(e_i, e_i) \geq 0, we also have inequality (40) if D=0D = 0.

Corollary 3 (« Hadamard’s inequalities »)

— Let (aij)1≤i,j≤n(a_{ij})_{1 \leq i, j \leq n} be a matrix with complex elements, and with determinant D. Put

ci=(∑j=1n∣aij∣2)1/2for1≤i≤n, c_i = \left( \sum_{j=1}^n |a_{ij}|^2 \right)^{1/2} \quad \text{for} \quad 1 \leq i \leq n,

and m=sup⁡i,j∣aij∣m = \sup_{i,j} |a_{ij}|. Then we have

∣D∣≤c1...cn≤mn⋅nn/2. |D| \leq c_1 ... c_n \leq m^n \cdot n^{n/2}.

If D≠0D \neq 0, in order that ∣D∣=c1...cn|D| = c_1 ... c_n it is necessary and sufficient that the rows yi=(aij)1≤j≤ny_i = (a_{ij})_{1 \leq j \leq n} of the matrix (aij)1≤i,j≤n(a_{ij})_{1 \leq i, j \leq n} are two by two orthogonal vectors.

Let the space Cn\mathbf{C}^n be assigned a scalar product defined by

⟨z∣z′⟩=∑i=1nz‾izi′. \langle \mathbf{z}|\mathbf{z}' \rangle = \sum_{i=1}^n \overline{z}_i z'_i.

Let (x1,...,xn)(\mathbf{x}_1, ..., \mathbf{x}_n) be the canonical basis of Cn\mathbf{C}^n and yi\mathbf{y}_i the vector with components aija_{ij} for 1≤j≤n1 \leq j \leq n. We have ∥xi∥=1\| \mathbf{x}_i \| = 1 and ∥yi∥=ci\| \mathbf{y}_i \| = c_i for 1≤i≤n1 \leq i \leq n; also ⟨xi∣yj⟩=aji\langle \mathbf{x}_i|\mathbf{y}_j \rangle = a_{ji}. The inequality ∣D∣≤c1...cn|D| \leq c_1 ... c_n and the condition of equality are then particular cases of V, p. 35, cor. 1. Obviously we have ci≤m⋅n1/2c_i \leq m \cdot n^{1/2}, hence c1...cn≤mn⋅nn/2c_1 ... c_n \leq m^n \cdot n^{n/2}.

Exercises

See the exercises for § 3.

Transcribed from the printed volume. Not translated.