Bourbaki

§ 4. Some classes of operators in hilbertian spaces

Throughout this paragraph, lEl_E denotes the identity mapping of a hilbertian space E. The composition v∘uv \circ u of two linear mappings will usually be denoted by vuvu or v.uv.u.

1. Adjoint

Proposition 1

— Let E and F be two hilbertian spaces. For every mapping u∈L(E;F)u \in \mathscr{L}(E; F), there exists a unique mapping u∗∈L(F;E)u^* \in \mathscr{L}(F; E) such that

⟨u(x)∣y⟩F=⟨x∣u∗(y)⟩E \langle u(x)|y \rangle_F = \langle x|u^*(y) \rangle_E

for all x∈Ex \in E and all y∈Fy \in F. The mapping u↦u∗u \mapsto u^* from L(E,F)\mathscr{L}(E, F) into L(F;E)\mathscr{L}(F; E) is bijective, isometric and semi-linear (with respect to the automorphism ξ↦ξ‾\xi \mapsto \overline{\xi} of K).

Let S(E,F)\mathscr{S}(E, F) be the space of all continuous sesquilinear forms on E×FE \times F, endowed with the norm

∥Φ∥=sup⁡∥x∥≤1,∥y∥≤1∣Φ(x,y)∣. \| \Phi \| = \sup_{\|x\| \leq 1, \|y\| \leq 1} |\Phi(x, y)| .

We define the space S(F,E)\mathscr{S}(F, E) similarly. We defined (V, p. 16, cor. 2) a Banach space isomorphism from L(E;F)\mathscr{L}(E; F) onto S(F,E)\mathscr{S}(F, E), denoted by u↦Φuu \mapsto \Phi_u and characterized by

Φu(y,x)=⟨y∣u(x)⟩F(x∈E, y∈F). \Phi_u(y, x) = \langle y|u(x) \rangle_F \quad (x \in E, \ y \in F) .

In an analogous way we define an isomorphism from L(F,E)\mathscr{L}(F, E) onto S(E,F)\mathscr{S}(E, F). Finally we define a mapping Φ↦Φ∗\Phi \mapsto \Phi^* from S(F,E)\mathscr{S}(F, E) onto S(E,F)\mathscr{S}(E, F) by

Φ∗(x,y)=Φ(y,x)‾(x∈E, y∈F). \Phi^*(x, y) = \overline{\Phi(y, x)} \quad (x \in E, \ y \in F) .

This mapping is bijective, semi-linear and isometric. But formula (1) translates as Φu∗=(Φu)∗\Phi_{u^*} = (\Phi_u)^*, hence the proposition.

Definition 1

— Let E and F be two hilbertian spaces. For every continuous linear mapping u:E→Fu : E \to F, the continuous linear mapping from F into E defined by formula (1) is called the adjoint of u and is denoted by u∗u^*.

We have

(u+v)∗=u∗+v∗(λu)∗=λ‾u∗(u∗)∗=u(1E)∗=1E(wu)∗=u∗w∗; \begin{align*} (u + v)^* &= u^* + v^* \\ (\lambda u)^* &= \overline{\lambda} u^* \\ (u^*)^* &= u \\ (1_E)^* &= 1_E \\ (wu)^* &= u^* w^* ; \end{align*}

in all these formulas, uu and vv belong to L(E;F)\mathscr{L}(E; F), λ\lambda is in K, and ww in L(F;G)\mathscr{L}(F; G) where G is a hilbertian space. Formulas (5) and (6) mean that u↦u∗u \mapsto u^* is semi-linear. Formula (8) is obvious. To prove (7), we take the conjugate of the two members of (1), which gives ⟨u∗(y)∣x⟩=⟨y∣u(x)⟩\langle u^*(y)|x\rangle = \langle y|u(x)\rangle, and this proves that uu is the adjoint of u∗u^*. Finally, with the notations of (9), we have, for all z∈Gz \in G

⟨w(u(x))∣z⟩=⟨u(x)∣w∗(z)⟩=⟨x∣u∗(w∗(z))⟩, \langle w(u(x))|z\rangle = \langle u(x)|w^*(z)\rangle = \langle x|u^*(w^*(z))\rangle ,

hence u∗w∗u^*w^* is the adjoint of wuwu.

Let u:E→Fu : E \to F be a bijective and continuous linear mapping; then it is also bicontinuous (I, p. 19, cor. 1). From (8) and (9) we immediately deduce that u∗u^* is bijective and bicontinuous and that

(10)

(u−1)∗=(u∗)−1. (u^{-1})^* = (u^*)^{-1} .

Proposition 2

For every u∈L(E;F)u \in \mathscr{L}(E ; F), we have

(11)

∥u∗u∥=∥uu∗∥=∥u∥2=∥u∗∥2. \|u^*u\| = \|uu^*\| = \|u\|^2 = \|u^*\|^2 .

By prop. 1, ∥u∗∥=∥u∥\|u^*\| = \|u\|, hence ∥u∗u∥≤∥u∗∥⋅∥u∥≤∥u∥2\|u^*u\| \leq \|u^*\|\cdot\|u\| \leq \|u\|^2. On the other hand,

∥u∥2=sup⁡∥x∥≤1∥u(x)∥2=sup⁡∥x∥≤1⟨u(x)∣u(x)⟩=sup⁡∥x∥≤1⟨x∣u∗u(x)⟩≤∥u∗u∥, \|u\|^2 = \sup_{\|x\| \leq 1} \|u(x)\|^2 = \sup_{\|x\| \leq 1} \langle u(x)|u(x)\rangle = \sup_{\|x\| \leq 1} \langle x|u^*u(x)\rangle \leq \|u^*u\| ,

hence ∥u∗u∥=∥u∥2\|u^*u\| = \|u\|^2. Replacing uu by u∗u^*, we get ∥uu∗∥=∥u∗∥2\|uu^*\| = \|u^*\|^2, hence (11) follows since ∥u∥=∥u∗∥\|u\| = \|u^*\|.

Let E1,...,EnE_1, ..., E_n and F1,...,FnF_1, ..., F_n be hilbertian spaces, and for every integer ii between 1 and nn, let uiu_i be a continuous linear mapping from EiE_i into FiF_i. Then

(12)

(u1⊗^2...⊗^2un)∗=u1∗⊗^2...⊗^2un∗. (u_1 \hat{\otimes}_2 ... \hat{\otimes}_2 u_n)^* = u_1^* \hat{\otimes}_2 ... \hat{\otimes}_2 u_n^* .

Let vv be the continuous linear mapping u1⊗^2...⊗^2unu_1 \hat{\otimes}_2 ... \hat{\otimes}_2 u_n from

E=E1⊗^2...⊗^2EnintoF=F1⊗^2...⊗^2Fn E = E_1 \hat{\otimes}_2 ... \hat{\otimes}_2 E_n \quad \text{into} \quad F = F_1 \hat{\otimes}_2 ... \hat{\otimes}_2 F_n

and ww the continuous linear mapping u1∗⊗^2...⊗^2un∗u_1^* \hat{\otimes}_2 ... \hat{\otimes}_2 u_n^* from FF into EE. It is enough to prove the equality ⟨y∣v(x)⟩=⟨w(y)∣x⟩\langle y|v(x)\rangle = \langle w(y)|x\rangle for x∈Ex \in E and y∈Fy \in F. By linearity and continuity, we reduce to the case when xx and yy have the following form

x=x1⊗...⊗xn,y=y1⊗...⊗yn x = x_1 \otimes ... \otimes x_n , \quad y = y_1 \otimes ... \otimes y_n

with xi∈Eix_i \in E_i and yi∈Fiy_i \in F_i for 1≤i≤n1 \leq i \leq n. From the definition of scalar product in a tensor product (V, p. 27, formula (6)), we then get

⟨y∣v(x)⟩=∏i=1n⟨yi∣ui(xi)⟩=∏i=1n⟨ui∗(yi)∣xi⟩=⟨w(y)∣x⟩. \langle y|v(x)\rangle = \prod_{i=1}^n \langle y_i|u_i(x_i)\rangle = \prod_{i=1}^n \langle u_i^*(y_i)|x_i\rangle = \langle w(y)|x\rangle .

This proves our assertion.

Let EE and FF be two hilbertian spaces, u∈L(E;F)u \in \mathscr{L}(E ; F) and nn a positive integer. If we put u1=...=un=uu_1 = ... = u_n = u in formula (12) we obtain the result that the continuous linear mapping T^n(u∗)\hat{T}^n(u^*) from T^n(F)\hat{T}^n(F) into T^n(E)\hat{T}^n(E) is the adjoint of the continuous linear mapping T^n(u)\hat{T}^n(u) from T^n(E)\hat{T}^n(E) into T^n(F)\hat{T}^n(F). The formulas

S^n(u)∗=S^n(u∗),Λ^n(u)∗=Λ^n(u∗) \hat{S}^n(u)^* = \hat{S}^n(u^*) , \quad \hat{\Lambda}^n(u)^* = \hat{\Lambda}^n(u^*)

can be established in the same way as formula (12), on account of the definition of the scalar product in S^n(E)\hat{S}^n(E) (V, p. 30, formula (15)) and in Λ^n(E)\hat{\Lambda}^n(E) (V, p. 33, formula (26)).

Remark 1

Suppose the hilbertian space E does not reduce to 0. We identify L(K;E)\mathscr{L}(K;E) with E by the mapping u↦u(1)u \mapsto u(1); in other words, the vector x of E is identified with the mapping λ↦λ.x\lambda \mapsto \lambda.x from K into E. Then the adjoint of x is the mapping x∗:E→Kx^*:E \to K given by x∗(y)=⟨x∣y⟩x^*(y) = \langle x|y \rangle. In other words, x↦x∗x \mapsto x^* is the canonical semi-linear mapping from E onto its dual (V, p. 15).

Similarly, we identify the number λ∈K\lambda \in K with the endomorphism λ.1E\lambda.1_E of E. Then λ∗\lambda^* is precisely the conjugate of λ\lambda.

With these identifications, we can define a product t1...tnt_1 ... t_n where each tit_i is, either a number in K, or a vector in E, or a linear form belonging to E', or an element of L(E)\mathscr{L}(E), provided that there are never two consecutive factors tit_i and ti+1t_{i+1} of one of the following types : • xy where x, y are both in E, or both in E'; • xA or Ax' with A∈L(E)A \in \mathscr{L}(E), x∈Ex \in E and x′∈E′x' \in E'.

We have the following rules of composition : a) associativity ; b) every element of K commutes with all the other factors ; c) we have (t1...tn)∗=tn∗...t1∗(t_1 ... t_n)^* = t_n^* ... t_1^*; in other words, the adjoint of a product is the product of the adjoints taken in the reverse order. Also t∗∗=tt^{**} = t.

For example, let x, y be in E and let A be in L(E)\mathscr{L}(E). Then x∗yx^*y represents the scalar product ⟨x∣y⟩\langle x|y \rangle and x∗Ayx^*Ay represents the scalar product ⟨x∣Ay⟩\langle x|Ay \rangle. We also have (A∗x)∗=x∗A∗∗=x∗A(A^*x)^* = x^*A^{**} = x^*A, hence (A∗x)∗y=x∗Ay(A^*x)^*y = x^*Ay, which can be interpreted as

⟨A∗x∣y⟩=⟨x∣Ay⟩ \langle A^*x|y \rangle = \langle x|Ay \rangle

in conformity with the definition of the adjoint. We observe that yx∗yx^* is the endomorphism z↦y⟨x∣z⟩z \mapsto y \langle x|z \rangle of E, since yx∗zyx^*z can be interpreted as y(x∗z)y(x^*z) by associativity, or as y.⟨x∣z⟩y.\langle x|z \rangle.

Following Dirac 1^1, in most works of Mathematical Physics, the elements of E are represented by the symbol ∣x⟩|x\rangle, those of E' by ⟨t∣\langle t|. The scalar product is written as ⟨x∣y⟩=⟨x∣.∣y⟩\langle x|y \rangle = \langle x|.|y \rangle and the first rule of interdiction in the products excludes the combinations of the signs ∣| and ∣<|<, for example ∣x⟩∣y⟩|x\rangle|y\rangle.

Proposition 3

— Let E and F be two hilbertian spaces and u∈L(E;F)u \in \mathscr{L}(E;F). The following conditions are equivalent :

(i) uu is a topological vector space isomorphism, with an inverse equal to u∗u^*; (ii) uu is surjective and u∗u=1Eu^*u = 1_E; (iii) uu is injective and uu∗=1Fuu^* = 1_F; (iv) uu is an isomorphism of normed spaces; (v) uu is a hilbertian space isomorphism.

Condition (1) means that we have u∗u=1Eu^*u = 1_E and uu∗=1Fuu^* = 1_F. Hence the equivalence of (i), (ii) and (iii) follows from E, II, § 3, No. 8, prop. 8. We have already seen the equivalence of (iv) and (v) (V, p. 5). Finally, the relation u∗u=1Eu^*u = 1_E is equivalent to

1^1 See P. A. M. Dirac, Quantum Mechanics, Oxford University Press, New York, 1935.

⟨x∣u∗u(y)⟩=⟨x∣y⟩ \langle x|u^*u(y)\rangle = \langle x|y\rangle, that is, to ⟨u(x)∣u(y)⟩=⟨x∣y⟩\langle u(x)|u(y)\rangle = \langle x|y\rangle for all x,yx, y in EE, and evidently implies that uu is injective; this proves the equivalence of (ii) and (v).

An automorphism of the hilbertian space EE is also called a unitary operator, that is, an operator u∈L(E)u \in \mathscr{L}(E) satisfying uu∗=u∗u=1Euu^* = u^*u = 1_E.

Remark 2

— The relation u∗u=1Eu^*u = 1_E does not characterize all the automorphisms of the hilbertian space EE. For example, let E=ℓ2(N)E = \ell^2(\mathbf{N}) and let uu be defined by u(xn)=xn−1u(x_n) = x_{n-1} for n≥1n \geq 1 and u(x)0=0u(x)_0 = 0. We have ∥u(x)∥=∥x∥\|u(x)\| = \|x\| for all x∈Ex \in E, that is, u∗u=1Eu^*u = 1_E, but uu is not surjective.

Remark 3

— The definition (1) of the adjoint u∗u^* can also be written as

⟨y∣u(x)⟩=⟨u∗(y)∣x⟩, \langle y|u(x)\rangle = \langle u^*(y)|x\rangle ,
or, by V, p. 15, as
⟨u(x),y∗⟩=⟨x,(u∗(y))∗⟩. \langle u(x), y^*\rangle = \langle x, (u^*(y))^*\rangle .
But we also have ⟨u(x),y∗⟩=⟨x,tu(y∗)⟩\langle u(x), y^*\rangle = \langle x, {}^t u(y^*)\rangle, hence we can express the adjoint in terms of the transpose,
(u∗(y))∗=tu(y∗). (u^*(y))^* = {}^t u(y^*) .

2. Partially isometric linear mappings

Definition 2

Let EE and FF be two hilbertian spaces and u∈L(E;F)u \in \mathscr{L}(E; F). The orthogonal of the kernel of uu in EE is said to be the initial subspace of uu and the closure of the image of uu in FF is called the final subspace of uu. The orthoprojector from EE (resp. FF) onto the initial (resp. final) subspace of uu is called the initial (resp. final) orthoprojector of uu.

Let PP be the initial subspace of uu. Since EE is the direct sum of PP and of the kernel of uu, we have u(P)=u(E)u(P) = u(E).

Proposition 4

(i) *The initial (resp. final) subspace of u∗u^* is equal to the final (resp. initial) subspace of uu.

(ii) Suppose that E=FE = F. Let MM be a closed vector subspace of EE and M∘M^\circ its orthogonal. The relations u(M)⊂Mu(M) \subset M and u∗(M∘)⊂M∘u^*(M^\circ) \subset M^\circ are equivalent.

Let Q=u(E)‾Q = \overline{u(E)} be the final subspace of uu. The orthogonal Q∘Q^\circ of QQ in FF consists of all vectors yy such that ⟨u(x)∣y⟩=0\langle u(x)|y\rangle = 0 for all x∈Ex \in E; this is equivalent to : ⟨x∣u∗(y)⟩=0\langle x|u^*(y)\rangle = 0 for all x∈Ex \in E, or to u∗(y)=0u^*(y) = 0. Hence we have Q∘=Ker u∗Q^\circ = \mathrm{Ker}\, u^*, and QQ is the initial subspace of u∗u^*. Since uu is the adjoint of u∗u^*, the final subspace of u∗u^* is also the initial subspace of uu. This proves (i).

The relation u(M)⊂Mu(M) \subset M implies that u(M)u(M) is orthogonal to M∘M^\circ, and the relation u∗(M∘)⊂M∘u^*(M^\circ) \subset M^\circ implies that u∗(M∘)u^*(M^\circ) is orthogonal to MM. But we have ⟨u(x)∣y⟩=⟨u∗(y)∣x⟩\langle u(x)|y\rangle = \langle u^*(y)|x\rangle for all x∈Mx \in M and y∈M∘y \in M^\circ; hence (ii) follows.

We remark that prop. 4 can be deduced from the general properties of the transpose (II, p. 51, cor. 2) in view of remark 3, V, p. 41.

Definition 3

Let EE and FF be two hilbertian spaces. A mapping u∈L(E;F)u \in \mathscr{L}(E; F) is* said to be partially isometric if ∥u(x)∥=∥x∥\|u(x)\| = \|x\| for all xx belonging to the initial subspace of uu.

Let u∈L(E;F)u \in \mathscr{L}(E; F) and let NN be its kernel and II its image. To say that uu is partially isometric is the same as saying that the linear mapping u~:E/N→I\tilde{u}: E/N \to I deduced from uu is isometric (V, p. 13). Then the subspace II of FF is complete, hence closed, and is the final subspace of uu. Consequently, uu induces a hilbertian space isomorphism from the initial subspace of uu onto its final subspace.

Proposition 5

Let u∈L(E;F)u \in \mathscr{L}(E; F), let PP be its initial subspace and QQ be the final subspace. Let pp (resp. qq) denote the initial (resp. final) orthoprojector of uu. Assume that uu is partially isometric.

(i) The mapping u∗∈L(F;E)u^* \in \mathscr{L}(F; E) is partially isometric, with initial subspace QQ and final subspace PP. The isomorphism from PP onto QQ induced by uu is then the inverse of the isomorphism from QQ onto PP induced by u∗u^*.

(ii) We have u∗u=pu^*u = p and uu∗=quu^* = q.

On account of prop. 4 (i), assertion (i) is a consequence of (ii).

We now prove (ii). Since PP contains the image of u∗u^*, the mapping u∗uu^*u maps EE into PP. Let x∈Ex \in E and y∈Py \in P, then

⟨u∗u(x)∣y⟩=⟨u(x)∣u(y)⟩. \langle u^*u(x)|y \rangle = \langle u(x)|u(y) \rangle .

If xx belongs to PP, then ⟨u(x)∣u(y)⟩=⟨x∣y⟩\langle u(x)|u(y) \rangle = \langle x|y \rangle by the definition of a partially isometric mapping; if xx belongs to the kernel NN of uu, then u(x)=0u(x) = 0, hence ⟨u(x)∣u(y)⟩=0\langle u(x)|u(y) \rangle = 0 and ⟨x∣y⟩=0\langle x|y \rangle = 0 since NN and PP are orthogonal. Since E=P⊕NE = P \oplus N, we have ⟨u∗u(x)−x∣y⟩=0\langle u^*u(x) - x|y \rangle = 0 in all the cases, and so u∗uu^*u is the orthoprojector pp from EE onto PP. That uu∗=quu^* = q follows by interchanging uu and u∗u^* in the above.

Proposition 6

For every u∈L(E;F)u \in \mathscr{L}(E; F), the following conditions are equivalent :

(i) uu is partially isometric ; (ii) u∗u^* is partially isometric ; (iii) u∗uu^*u is an orthoprojector ; (iv) uu∗uu^* is an orthoprojector ; (v) *uu∗u=u;∗uu^*u = u ;* (vi) *u∗uu∗=u∗.∗u^*uu^* = u^* .*

By prop. 5, (i) is equivalent to (ii).

(i) ⇒\Rightarrow (v) : Suppose uu is partially isometric. Then u∗uu^*u is the initial orthoprojector of uu by prop. 5. Hence for every x∈Ex \in E, u∗u(x)−xu^*u(x) - x belongs to the kernel of uu, that is, uu∗u(x)=u(x)uu^*u(x) = u(x).

(v) ⇒\Rightarrow (iii) : Suppose that uu∗u=uuu^*u = u and let p=u∗up = u^*u; then p=p∗p = p^* and p2=pp^2 = p. Let MM (resp. NN) be the image (resp. the kernel) of pp. For x∈Mx \in M and y∈Ny \in N, we have ⟨x∣y⟩=⟨p(x)∣y⟩=⟨x∣p∗(y)⟩=⟨x∣p(y)⟩=0\langle x|y \rangle = \langle p(x)|y \rangle = \langle x|p^*(y) \rangle = \langle x|p(y) \rangle = 0. Since MM and NN are orthogonal, pp is the orthoprojector from EE onto MM.

(iii) ⇒\Rightarrow (i) : Suppose p=u∗up = u^*u is an orthoprojector with image MM and kernel NN.

For all x∈Ex \in E, we have

∥u(x)∥2=⟨u∗u(x)∣x⟩=⟨p(x)∣x⟩. \|u(x)\|^2 = \langle u^*u(x)|x \rangle = \langle p(x)|x \rangle .
Hence u(x)=0u(x) = 0 for x∈Nx \in N and ∥u(x)∥=∥x∥\|u(x)\| = \|x\| for x∈Mx \in M, and so uu is partially isometric with kernel NN and initial subspace MM.

We have proved the equivalence of (i), (iii) and (v). Replacing uu by u∗u^*, we can deduce the equivalence of (ii), (iv) and (vi). This proves prop. 6.

3. Normal endomorphisms

Definition 4

Let EE be a hilbertian space and u∈L(E)u \in \mathscr{L}(E). We say that uu is normal if it commutes with its adjoint u∗u^*.

For example, every automorphism uu of the hilbertian space EE is normal since we have uu∗=u∗u=1Euu^* = u^*u = 1_E.

Proposition 7

For u∈L(E)u \in \mathscr{L}(E) to be normal, it is necessary and sufficient that ∥u(x)∥=∥u∗(x)∥\|u(x)\| = \|u^*(x)\| for all x∈Ex \in E.

We define a hermitian form Φ\Phi on EE by

Φ(x,y)=⟨uu∗(x)∣y⟩−⟨u∗u(x)∣y⟩. \Phi(x, y) = \langle uu^*(x)|y \rangle - \langle u^*u(x)|y \rangle .
For uu to be normal, it is necessary and sufficient that Φ=0\Phi = 0. By the polarization formulas (V, p. 2), this is equivalent to Φ(x,x)=0\Phi(x, x) = 0 for all x∈Ex \in E. The proposition now follows since
Φ(x,x)=∥u∗(x)∥2−∥u(x)∥2. \Phi(x, x) = \|u^*(x)\|^2 - \|u(x)\|^2 .

Proposition 8

Suppose that u∈L(E)u \in \mathscr{L}(E) is normal. Let NN be the kernel of uu and MM the orthogonal of NN in EE; let mm and nn be two positive integers such that m+n≥1m + n \geq 1. Then NN is the kernel of um(u∗)nu^m(u^*)^n and MM is both the initial and the final subspace of um(u∗)nu^m(u^*)^n. In particular, MM is both the initial and the final subspace of uu and of u∗u^*, and is stable under uu and u∗u^*.

Prop. 7 shows that uu and u∗u^* have the same kernel NN. By prop. 4, (ii) of V, p. 41, the subspace MM of EE is stable under uu and u∗u^* since this is so for N=M∘N = M^\circ, since M∩N={0}M \cap N = \{0\}, the endomorphisms of MM induced by uu and u∗u^* are injective. Let v=um(u∗)nv = u^m(u^*)^n; the preceding argument shows that the restriction of vv to MM (resp. NN) is injective (resp. null), hence NN is the kernel of vv. Consequently, M=N∘M = N^\circ is the initial subspace of vv. By prop. 4, (i) of V, p. 41, the final subspace of vv is equal to the initial subspace of v∗v^*. But v∗=un(u∗)mv^* = u^n(u^*)^m and so the initial subspace of v∗v^* is equal to MM by the preceding.

Corollary

Let λ∈K\lambda \in K. The following subspaces of EE are equal : a) the eigen subspace of uu relative to λ\lambda; b) the eigen subspace of u∗u^* relative to λ‾\overline{\lambda};

c) the primary subspace of u relative to λ\lambda (in other words, by LIE, VII, § 1, No. 1, the set of all vectors xx of E for which there exists an integer n⩾0n \geqslant 0 such that (u−λ.1E)n(x)=0(u - \lambda.1_E)^n(x) = 0); d) the primary subspace of u∗u^* relative to λ‾\overline{\lambda}.

It is clear that w=u−λ.1Ew = u - \lambda.1_E is a normal endomorphism of E, hence the endomorphisms w,w∗=u∗−λ‾.1E,wnw, w^* = u^* - \overline{\lambda}.1_E, w^n and (w∗)n(w^*)^n of E have the same kernel by prop. 8.

4. Hermitian endomorphisms

Definition 5

Let E be a hilbertian space and let* u∈L(E)u \in \mathscr{L}(E). We say that u is hermitian if u∗=uu^* = u.

Let H(E)\mathscr{H}(E) denote the set of all hermitian elements of L(E)\mathscr{L}(E); this is a vector subspace of the vector space L(E)[R]\mathscr{L}(E)_{[\mathbf{R}]} over R\mathbf{R} which is deduced from L(E)\mathscr{L}(E) by restricting the scalars.

To each u∈L(E)u \in \mathscr{L}(E), we associated (V, p. 16, cor. 2) a sesquilinear form Φu:(x,y)↦⟨x∣u(y)⟩\Phi_u : (x, y) \mapsto \langle x|u(y)\rangle on E×EE \times E. We have

Φu∗(x,y)=Φu(y,x)‾(x,y in E); \Phi_{u^*}(x, y) = \overline{\Phi_u(y, x)} \quad (x, y \text{ in } E);

consequently, uu is hermitian if and only if the form Φu\Phi_u is hermitian. When K is C\mathbf{C}, it is enough to assume that Φu(x,x)=⟨x∣u(x)⟩\Phi_u(x, x) = \langle x|u(x)\rangle is real for all x∈Ex \in E (V, p. 2, Remark).

Let u∈L(E)u \in \mathscr{L}(E). We have seen (V, p. 16, cor. 2) that the norm of uu can be calculated by the formula

∥u∥=sup⁡∥x∥⩽1,∥y∥⩽1∣Φu(x,y)∣. \|u\| = \sup_{\|x\| \leqslant 1, \|y\| \leqslant 1} |\Phi_u(x, y)|.

When uu is hermitian, we have the following result :

Proposition 9

For every hermitian endomorphism u of* E, *we have

∥u∥=sup⁡∥x∥⩽1∣⟨x∣u(x)⟩∣. \|u\| = \sup_{\|x\| \leqslant 1} |\langle x|u(x)\rangle|.

Put Φ=Φu\Phi = \Phi_u and c=sup⁡∥x∥⩽1∣Φ(x,x)∣c = \sup_{\|x\| \leqslant 1} |\Phi(x, x)|, then evidently c⩽∥u∥c \leqslant \|u\|. Let x,yx, y be in E such that ∥x∥⩽1,∥y∥⩽1\|x\| \leqslant 1, \|y\| \leqslant 1. Then

Φ(x+y,x+y)=Φ(x,x)+Φ(y,y)+2ℜΦ(x,y), \Phi(x + y, x + y) = \Phi(x, x) + \Phi(y, y) + 2\Re\Phi(x, y),
hence
4ℜΦ(x,y)=Φ(x+y,x+y)−Φ(x−y,x−y); 4\Re\Phi(x, y) = \Phi(x + y, x + y) - \Phi(x - y, x - y);
but ∣Φ(t,t)∣⩽c∥t∥2|\Phi(t, t)| \leqslant c\|t\|^2 for all t∈Et \in E, thus
4∣ℜΦ(x,y)∣⩽c(∥x+y∥2+∥x−y∥2)=2c(∥x∥2+∥y∥2)⩽4c. 4|\Re\Phi(x, y)| \leqslant c(\|x + y\|^2 + \|x - y\|^2) = 2c(\|x\|^2 + \|y\|^2) \leqslant 4c.
Let a=Φ(x,y)a = \Phi(x, y); there exists a complex number λ\lambda with absolute value 1 such that

λa = |a|. Replacing y by λy in the preceding inequality, we get ∣Φ(x,y)∣≤c|\Phi(x, y)| \leq c. By (15), ∥u∥≤c\|u\| \leq c and the proposition follows. Q.E.D.

Evidently every hermitian endomorphism is normal. Conversely :

Proposition 10

— Suppose K is C. Let u∈L(E)u \in \mathscr{L}(E). Then there exists a unique pair (h1,h2)(h_1, h_2) of hermitian endomorphisms of E, such that u=h1+ih2u = h_1 + ih_2. In order that u is normal, it is necessary and sufficient that h1h_1 and h2h_2 commute.

For, the relation « u=h1+ih2, h1∗=h1, h2∗=h2u = h_1 + ih_2,\ h_1^* = h_1,\ h_2^* = h_2 » is equivalent to

« h1=12(u+u∗) and h2=i2(u∗−u) ». \text{« } h_1 = \frac{1}{2}(u + u^*) \text{ and } h_2 = \frac{i}{2}(u^* - u) \text{ »}.

In addition, we have h1h2−h2h1=i2(uu∗−u∗u)h_1 h_2 - h_2 h_1 = \frac{i}{2}(uu^* - u^*u). This proves prop. 10.

Proposition 11

— Let p∈L(E)p \in \mathscr{L}(E). In order that p is the orthoprojector from E onto a closed vector subspace of E, it is necessary and sufficient that p2=p=p∗p^2 = p = p^*.

Suppose p2=pp^2 = p. Let M be the image of p and N its kernel. E is the topological direct sum of M and N. In order that p is an orthoprojector, it is necessary and sufficient that M is orthogonal to N, that is to say that we have ⟨p(x)∣y−p(y)⟩=0\langle p(x)|y - p(y) \rangle = 0 for all x, y in E. This latter relation is equivalent to p=p∗pp = p^*p, and implies that p∗=(p∗p)∗=p∗p=pp^* = (p^*p)^* = p^*p = p; conversely if p∗=pp^* = p, we have p=p2=p∗pp = p^2 = p^*p.

5. Positive endomorphisms

Definition 6

— Let E be a hilbertian space and u∈L(E)u \in \mathscr{L}(E). We say that u is positive, and write u≥0u \geq 0, if u is hermitian and if ⟨x∣u(x)⟩≥0\langle x|u(x) \rangle \geq 0 for all x∈Ex \in E.

When K is equal to C, the relation

⟨x∣u(x)⟩≥0for all x∈E \langle x|u(x) \rangle \geq 0 \quad \text{for all } x \in E

implies that u is hermitian (V, p. 2, Remark), hence positive.

Let L+(E)\mathscr{L}_+(E) denote the set of all positive elements of L(E)\mathscr{L}(E); this is a proper pointed convex cone in the real vector space L(E)[R]\mathscr{L}(E)_{[\mathbf{R}]} underlying L(E)\mathscr{L}(E). In order that u is positive, it is necessary and sufficient that the sesquilinear form Φu\Phi_u on E×EE \times E associated with u is positive hermitian. Given u and v in L(E)\mathscr{L}(E), the relation u−v≥0u - v \geq 0 can also be written as u≥vu \geq v or v≤uv \leq u; this is an order relation on L(E)[R]\mathscr{L}(E)_{[\mathbf{R}]} compatible with its real vector space structure.

Proposition 12

— Let u be a hermitian (resp. positive) element of L(E)\mathscr{L}(E) and let v be a continuous linear mapping from E into a hilbertian space F. Then vuv∗vuv^* is a hermitian (resp. positive) element of L(F)\mathscr{L}(F).

For, we have (vuv∗)∗=v∗∗u∗v∗=vuv∗(vuv^*)^* = v^{**}u^*v^* = vuv^*. On the other hand, if u≥0u \geq 0, we have

⟨y∣vuv∗(y)⟩=⟨v∗(y)∣u(v∗(y))⟩≥0 \langle y|vuv^*(y) \rangle = \langle v^*(y)|u(v^*(y)) \rangle \geq 0

for all y∈Fy \in F, hence vuv∗≥0vuv^* \geq 0.

Prop. 12 shows, in particular, that vv∗vv^* is positive for all v∈L(E;F)v \in \mathscr{L}(E; F). Since, in particular, an orthoprojector pp satisfies p=p2=pp∗p = p^2 = pp^*, it is positive.

Remark 1

For every hermitian uu in L(E)\mathscr{L}(E), put m(u)=inf⁡∥x∥=1⟨x∣u(x)⟩m(u) = \inf_{\|x\|=1} \langle x|u(x)\rangle, M(u)=sup⁡∥x∥=1⟨x∣u(x)⟩M(u) = \sup_{\|x\|=1} \langle x|u(x)\rangle. If EE is not just 0, m(u)m(u) and M(u)M(u) are finite; moreover, M(u)M(u) is the smallest real number λ\lambda such that u≤λ⋅1Eu \leq \lambda \cdot 1_E and m(u)m(u) the largest real number μ\mu such that u≥μ⋅1Eu \geq \mu \cdot 1_E. Clearly we have m(−u)=−M(u)m(-u) = -M(u) and M(−u)=−m(u)M(-u) = -m(u). It is clear that

sup⁡(∣m(u)∣,∣M(u)∣)=sup⁡∥x∥=1∣⟨x∣u(x)⟩∣ \sup(|m(u)|, |M(u)|) = \sup_{\|x\|=1} |\langle x|u(x)\rangle|
and prop. 9 (V, p. 44) implies (for E≠{0}E \neq \{0\}) that
∥u∥=sup⁡(∣m(u)∣,∣M(u)∣). \|u\| = \sup(|m(u)|, |M(u)|).
\* For another proof of this formula when KK is C\mathbf{C}, see prop. 14 of TS, I, § 6, No. 8. \

Remark 2

Let MM and NN be two closed vector subspaces of EE, and pMp_M (resp. pNp_N) the orthoprojector from EE onto MM (resp. NN). Then M⊂NM \subset N if and only if pM≤pNp_M \leq p_N. For, we have pM∗pM=pMp_M^* p_M = p_M, hence

∥pM(x)∥2=⟨pM(x)∣pM(x)⟩=⟨x∣pM∗pM(x)⟩=⟨x∣pM(x)⟩ \|p_M(x)\|^2 = \langle p_M(x)|p_M(x)\rangle = \langle x|p_M^* p_M(x)\rangle = \langle x|p_M(x)\rangle
for all x∈Ex \in E. The relation pM≤pNp_M \leq p_N is therefore equivalent to « ∥pM(x)∥≤∥pN(x)∥\|p_M(x)\| \leq \|p_N(x)\| for all x∈Ex \in E ». If M⊂NM \subset N, we have pM=pMpNp_M = p_M p_N, hence ∥pM(x)∥≤∥pN(x)∥\|p_M(x)\| \leq \|p_N(x)\| since ∥pM∥≤1\|p_M\| \leq 1. Conversely, if ∥pM(x)∥≤∥pN(x)∥\|p_M(x)\| \leq \|p_N(x)\| for all x∈Ex \in E, the kernel of pMp_M contains the kernel of pNp_N, that is, that M∘⊃N∘M^\circ \supset N^\circ, which implies that M⊂NM \subset N.

Proposition 13

— *Let H(E)\mathscr{H}(E) be the set of all continuous hermitian endomorphisms of the hilbertian space EE. Let F\mathscr{F} be a non-empty, directed increasing and bounded subset of H(E)\mathscr{H}(E).

(i) The set F\mathscr{F} has an upper bound u0u_0 in H(E)\mathscr{H}(E); we have

⟨x∣u0(x)⟩=sup⁡u∈F⟨x∣u(x)⟩for allx∈E. \langle x|u_0(x)\rangle = \sup_{u \in \mathscr{F}} \langle x|u(x)\rangle \quad \text{for all} \quad x \in E .

(ii) The filter of sections of F\mathscr{F} converges to u0u_0 in the space L(E)\mathscr{L}(E) endowed with the topology of simple convergence.

Let Σ\Sigma be the filter of sections of F\mathscr{F}; for every u∈H(E)u \in \mathscr{H}(E), let Φu\Phi_u be the continuous hermitian form on EE defined by

Φu(x,y)=⟨x∣u(y)⟩. \Phi_u(x, y) = \langle x|u(y)\rangle .
Let
Ψu(x)=Φu(x,x) \Psi_u(x) = \Phi_u(x, x)
for u∈H(E)u \in \mathscr{H}(E) and x∈Ex \in E. By the polarization formulas (V, p. 2), we have
(19)4Φu(x,y)=Ψu(x+y)−Ψu(x−y)if K=R(20)4Φu(x,y)=Ψu(x+y)−Ψu(x−y)−iΨu(x+iy)+iΨu(x−iy)if K=C. \begin{align*} (19) \quad 4\Phi_u(x, y) &= \Psi_u(x+y) - \Psi_u(x-y) & \text{if } K = \mathbf{R} \\ (20) \quad 4\Phi_u(x, y) &= \Psi_u(x+y) - \Psi_u(x-y) - i\Psi_u(x+iy) + i\Psi_u(x-iy) & \text{if } K = \mathbf{C} . \end{align*}

For every x∈Ex \in E, the mapping u↦Ψu(x)u \mapsto \Psi_u(x) from into R\mathbf{R} is increasing and bounded, hence has a limit with respect to Σ\Sigma. By the preceding formulas, the limit

lim⁡u,ΣΦu(x,y)=Φ(x,y) \lim_{u,\Sigma} \Phi_u(x, y) = \Phi(x, y)
exists for every pair (x,y)(x, y) of elements of EE. It is clear that Φ\Phi is a hermitian form on EE. If v1∈Fv_1 \in \mathscr{F} and v2v_2 is a bound of F\mathscr{F}, the hermitian forms f1=Φ−Φv1f_1 = \Phi - \Phi_{v_1} and f2=Φv2−Φf_2 = \Phi_{v_2} - \Phi are positive; there exists a real number M≥0M \geq 0 such that
f1(x,x)+f2(x,x)=Φv2−v1(x,x)≤M∥x∥2, f_1(x, x) + f_2(x, x) = \Phi_{v_2 - v_1}(x, x) \leq M \|x\|^2,
hence
f1(x,x)≤M∥x∥2,f2(x,x)≤M∥x∥2(x∈E); f_1(x, x) \leq M \|x\|^2, \quad f_2(x, x) \leq M \|x\|^2 \quad (x \in E);
consequently the semi-norms x↦fi(x,x)1/2x \mapsto f_i(x, x)^{1/2} are continuous on EE. Since
f2−f1=Φv2+Φv1−2Φ, f_2 - f_1 = \Phi_{v_2} + \Phi_{v_1} - 2\Phi,
we conclude that x↦Φ(x,x)x \mapsto \Phi(x, x) is a continuous function on EE, and by formulas (19) and (20), that Φ\Phi is continuous on E×EE \times E. Therefore there exists (V, p. 16, cor. 2) an element u0u_0 of H(E)\mathscr{H}(E) such that Φ=Φu0\Phi = \Phi_{u_0}. Formula (18) is evidently satisfied, hence u0u_0 is the upper bound of F\mathscr{F} in H(E)\mathscr{H}(E). This proves (i).

We have, by construction

lim⁡u,Σ⟨x∣(u0−u)(x)⟩=0for all x∈E. \lim_{u,\Sigma} \langle x|(u_0 - u)(x)\rangle = 0 \quad \text{for all } x \in E.
Let v1∈Fv_1 \in \mathscr{F}; given a u∈Fu \in \mathscr{F} such that u≥v1u \geq v_1, let v=u0−uv = u_0 - u. If we apply the Cauchy-Schwarz inequality to the positive hermitian form Φv\Phi_v on EE, we get
∥v(x)∥4=∣Φv(v(x),x)∣2≤Φv(v(x),v(x))⋅Φv(x,x)=⟨v(x)∣v2(x)⟩⟨x∣v(x)⟩≤∥v∥3∥x∥2⟨x∣v(x)⟩≤∥u0−v1∥3∥x∥2⟨x∣v(x)⟩, \begin{align*} \|v(x)\|^4 &= |\Phi_v(v(x), x)|^2 \leq \Phi_v(v(x), v(x)) \cdot \Phi_v(x, x) \\ &= \langle v(x)|v^2(x)\rangle \langle x|v(x)\rangle \leq \|v\|^3 \|x\|^2 \langle x|v(x)\rangle \\ &\leq \|u_0 - v_1\|^3 \|x\|^2 \langle x|v(x)\rangle, \end{align*}
since ∥v∥≤∥u0−v1∥\|v\| \leq \|u_0 - v_1\| by V, p. 44, prop. 9. Then by (21) we get lim⁡u,Σ∥(u0−u)(x)∥=0\lim_{u,\Sigma} \|(u_0 - u)(x)\| = 0 for all x∈Ex \in E; which proves assertion (ii).

In particular, prop. 13 can be applied to the case of an increasing and bounded sequence (un)n∈N(u_n)_{n \in \mathbf{N}} of elements of H(E)\mathscr{H}(E). Then there exists an element vv of H(E)\mathscr{H}(E) characterized by

⟨x∣v(x)⟩=lim⁡n→∞⟨x∣un(x)⟩=sup⁡n∈N⟨x∣un(x)⟩(x∈E), \langle x|v(x)\rangle = \lim_{n \to \infty} \langle x|u_n(x)\rangle = \sup_{n \in \mathbf{N}} \langle x|u_n(x)\rangle \quad (x \in E),
and we have v(x)=lim⁡n→∞un(x)v(x) = \lim_{n \to \infty} u_n(x) for all x∈Ex \in E. Moreover, vv is the upper bound of the set of the unu_n in H(E)\mathscr{H}(E).

6. Trace of an endomorphism

Let E and F be two hilbertian spaces. Conforming to the conventions of V, p. 40, we let ba∗ba^*, for aa in E and bb in F, denote the continuous linear mapping x↦b⟨a∣x⟩x \mapsto b \langle a|x \rangle from E into F.

Lemma 1

There exists an isomorphism θ\theta from the vector space F⊗E′F \otimes E' onto the space Lf(E;F)\mathscr{L}_f(E; F) of all finite rank continuous linear mappings from E into F, characterized by θ(b⊗a∗)=ba∗\theta(b \otimes a^*) = ba^* for a∈E,b∈Fa \in E, b \in F.

By A, II, § 4, No. 2, there exists an injective linear mapping θ\theta from F⊗E′F \otimes E' into L(E;F)\mathscr{L}(E; F) and only one such, which transforms b⊗a′b \otimes a' into the linear mapping x↦ba′(x)x \mapsto ba'(x) for a′∈E′,b∈Fa' \in E', b \in F. Evidently θ(b⊗a∗)=ba∗\theta(b \otimes a^*) = ba^*, and the image of θ\theta is contained in Lf(E;F)\mathscr{L}_f(E; F). However, let u∈Lf(E;F)u \in \mathscr{L}_f(E; F) and let (e1,...,en)(e_1, ..., e_n) be an orthonormal basis of the image of uu in F. Let fi=u∗(ei)f_i = u^*(e_i) for 1≤i≤n1 \leq i \leq n. For every x∈Ex \in E, we have

u(x)=∑i=1n⟨ei∣u(x)⟩⋅ei=∑i=1n⟨fi∣x⟩⋅ei, u(x) = \sum_{i=1}^n \langle e_i|u(x) \rangle \cdot e_i = \sum_{i=1}^n \langle f_i|x \rangle \cdot e_i,

hence u=∑i=1neifi∗=θ(∑i=1nei⊗fi∗)u = \sum_{i=1}^n e_i f_i^* = \theta(\sum_{i=1}^n e_i \otimes f_i^*). Therefore the image of θ\theta is equal to Lf(E;F)\mathscr{L}_f(E; F).

We shall henceforth assume that E=FE = F, and we set Lf(E)=Lf(E;E)\mathscr{L}_f(E) = \mathscr{L}_f(E; E). By lemma 1, there exists a unique linear form τ\tau on Lf(E)\mathscr{L}_f(E), such that τ(θ(a⊗a′))=a′(a)\tau(\theta(a \otimes a')) = a'(a) for a∈E,a′∈E′a \in E, a' \in E'; in other words, we have

(22)

τ(ba∗)=⟨a∣b⟩for a,b in E. \tau(ba^*) = \langle a|b \rangle \quad \text{for } a, b \text{ in } E.

When E is finite dimensional, we have Lf(E)=L(E)\mathscr{L}_f(E) = \mathscr{L}(E) and τ(u)\tau(u) is the trace of the endomorphism uu of E (A, II, § 4, No. 3).

Lemma 2

Let (ei)i∈I(e_i)_{i \in I} be an orthonormal basis of E. Then

τ(u)=∑i∈I⟨ei∣u(ei)⟩ \tau(u) = \sum_{i \in I} \langle e_i|u(e_i) \rangle

for all u∈Lf(E)u \in \mathscr{L}_f(E).

It is enough to consider the case when u=ba∗u = ba^* with a,ba, b in E. Then

⟨ei∣u(ei)⟩=ei∗b⋅a∗ei=⟨ei∣a⟩‾⟨ei∣b⟩ \langle e_i|u(e_i) \rangle = e_i^* b \cdot a^* e_i = \overline{\langle e_i|a \rangle} \langle e_i|b \rangle

and lemma 2 follows from formula (22) and formula (3) of V, p. 22.

Lemma 3

Let u be a continuous and positive endomorphism of E, and F\mathscr{F} the set of all finite rank orthoprojectors on E. Then for every orthonormal basis (ei)i∈I(e_i)_{i \in I} of E, we have (in R+\mathbf{R}_+) the equality

∑i∈I⟨ei∣u(ei)⟩=sup⁡p∈Fτ(pup). \sum_{i \in I} \langle e_i|u(e_i) \rangle = \sup_{p \in \mathscr{F}} \tau(pup).

For every finite subset J of I, put pJ=∑i∈Jeiei∗p_J = \sum_{i \in J} e_i e_i^*; this is the orthoprojector from E onto the vector subspace generated by the vectors eie_i, where i ranges over J. We have

pJupJ=∑i∈J,j∈J⟨ei∣u(ej)⟩eiej∗, p_J u p_J = \sum_{i \in J, j \in J} \langle e_i | u(e_j) \rangle e_i e_j^* ,
hence τ(pJupJ)=∑i∈J⟨ei∣u(ei)⟩\tau(p_J u p_J) = \sum_{i \in J} \langle e_i | u(e_i) \rangle. Since pJ∈Fp_J \in \mathscr{F},
∑i∈J⟨ei∣u(ei)⟩≤sup⁡p∈Fτ(pup); \sum_{i \in J} \langle e_i | u(e_i) \rangle \leq \sup_{p \in \mathscr{F}} \tau(p u p) ;
and so we conclude that
∑i∈I⟨ei∣u(ei)⟩=sup⁡J∑i∈J⟨ei∣u(ei)⟩≤sup⁡p∈Fτ(pup). \sum_{i \in I} \langle e_i | u(e_i) \rangle = \sup_J \sum_{i \in J} \langle e_i | u(e_i) \rangle \leq \sup_{p \in \mathscr{F}} \tau(p u p) .

Let vv be a finite rank continuous and positive endomorphism of E and let p∈Fp \in \mathscr{F}. By th. 2 of V, p. 23 there exists an orthonormal basis (fα)α∈A(f_\alpha)_{\alpha \in A} of E and a finite subset B of A such that (fα)α∈B(f_\alpha)_{\alpha \in B} is an orthonormal basis of the image of p. Then we have p=∑α∈Bfαfα∗p = \sum_{\alpha \in B} f_\alpha f_\alpha^*, and so, as above, the relation τ(pvp)=∑α∈B⟨fα∣v(fα)⟩\tau(p v p) = \sum_{\alpha \in B} \langle f_\alpha | v(f_\alpha) \rangle. By lemma 2 (V, p. 48) we have τ(v)=∑α∈A⟨fα∣v(fα)⟩\tau(v) = \sum_{\alpha \in A} \langle f_\alpha | v(f_\alpha) \rangle, which gives the formula

∑α∈B⟨fα∣v(fα)⟩≤τ(v). \sum_{\alpha \in B} \langle f_\alpha | v(f_\alpha) \rangle \leq \tau(v) .
Applying this inequality to the case where v=pJ.upJv = p_J . u p_J and where J is a finite subset of I, we get
∑α∈B⟨pJ(fα)∣upJ(fα)⟩≤∑i∈J⟨ei∣u(ei)⟩. \sum_{\alpha \in B} \langle p_J(f_\alpha) | u p_J(f_\alpha) \rangle \leq \sum_{i \in J} \langle e_i | u(e_i) \rangle .
For every x∈Ex \in E, we have pJ(x)=∑i∈J⟨ei∣x⟩eip_J(x) = \sum_{i \in J} \langle e_i | x \rangle e_i, and so x=lim⁡JpJ(x)x = \lim_J p_J(x) with respect to the ordered directed set of finite subsets J of I. Passing to the limit over J in (23), we get
τ(pup)=∑α∈B⟨fα∣u(fα)⟩≤∑i∈I⟨ei∣u(ei)⟩, \tau(p u p) = \sum_{\alpha \in B} \langle f_\alpha | u(f_\alpha) \rangle \leq \sum_{i \in I} \langle e_i | u(e_i) \rangle ,
and this completes the proof of lemma 3.

Definition 7

Let u be a continuous and positive endomorphism of the hilbertian space E. Let*

Tr⁡(u)=sup⁡p∈Fτ(pup) \operatorname{Tr}(u) = \sup_{p \in \mathscr{F}} \tau(p u p)
*(upper bound in R‾+\overline{\mathbf{R}}_+), where F\mathscr{F} is the set of all finite rank orthoprojectors on E. We say that Tr⁡(u)\operatorname{Tr}(u) is the trace of u.

Let pp be the orthoprojector from EE onto a finite dimensional vector subspace of EE, and let (x1,...,xm)(x_1, ..., x_m) be an orthonormal basis of FF. We have established the relation

τ(pup)=∑i=1m⟨xi∣u(xi)⟩. \tau(pup) = \sum_{i=1}^m \langle x_i | u(x_i) \rangle.
Consequently, we can define the trace by the formula
Tr(u)=sup⁡x1,...,xm∑i=1m⟨xi∣u(xi)⟩, \text{Tr}(u) = \sup_{x_1, ..., x_m} \sum_{i=1}^m \langle x_i | u(x_i) \rangle,
where (x1,...,xm)(x_1, ..., x_m) ranges over the set of all finite orthonormal sequences of vectors of EE.

By lemma 3 (V, p. 48), we have

Tr(u)=∑i∈I⟨ei∣u(ei)⟩ \text{Tr}(u) = \sum_{i \in I} \langle e_i | u(e_i) \rangle
for every orthonormal basis (ei)i∈I(e_i)_{i \in I} of EE. From this, we deduce
Tr(u+v)=Tr(u)+Tr(v) \text{Tr}(u + v) = \text{Tr}(u) + \text{Tr}(v)
Tr(λu)=λ⋅Tr(u) \text{Tr}(\lambda u) = \lambda \cdot \text{Tr}(u)
for all continuous and positive endomorphisms uu and vv of EE and for every real number λ≥0\lambda \geq 0 (we make the convention 0.(+∞)=00.(+\infty) = 0 in (27)). Let ϕ\phi be an isomorphism from EE onto a hilbertian space FF; since ϕ\phi transforms every orthonormal basis of EE into an orthonormal basis of FF, we get from (25) that
Tr(ϕuϕ−1)=Tr(u). \text{Tr}(\phi u \phi^{-1}) = \text{Tr}(u).

Let (uα)α∈A(u_\alpha)_{\alpha \in A} be a non-empty directed increasing and bounded family of continuous and positive endomorphisms of EE; let u=sup⁡αuαu = \sup_\alpha u_\alpha, then ⟨x∣u(x)⟩=sup⁡α⟨x∣uα(x)⟩\langle x | u(x) \rangle = \sup_\alpha \langle x | u_\alpha(x) \rangle for all x∈Ex \in E (V, p. 46, prop. 13). We have Tr(u)=sup⁡J⊂I∑i∈J⟨ei∣u(ei)⟩\text{Tr}(u) = \sup_{J \subset I} \sum_{i \in J} \langle e_i | u(e_i) \rangle, where JJ ranges over all finite subsets of II, hence

Tr(u)=sup⁡αTr(uα)foru=sup⁡αuα. \text{Tr}(u) = \sup_\alpha \text{Tr}(u_\alpha) \quad \text{for} \quad u = \sup_\alpha u_\alpha.

Let pFp_F be the orthoprojector from EE onto the hilbertian subspace FF; there exists an orthonormal basis (ei)i∈I(e_i)_{i \in I} of EE and a subset JJ of II, such that (ei)i∈J(e_i)_{i \in J} is an orthonormal basis of FF. We have Tr(pFupF)=∑i∈J⟨ei∣u(ei)⟩\text{Tr}(p_F up_F) = \sum_{i \in J} \langle e_i | u(e_i) \rangle. This formula has two consequences : firstly, we have Tr(pFupF)≤Tr(u)\text{Tr}(p_F up_F) \leq \text{Tr}(u); secondly, taking u=1Eu = 1_E, we get

Tr(pF)={dim⁡Fif F is finite dimensional+∞if not. \text{Tr}(p_F) = \begin{cases} \dim F & \text{if } F \text{ is finite dimensional} \\ + \infty & \text{if not}. \end{cases}

Definition 8

— Let E be a complex hilbertian space. We write L1(E)\mathscr{L}^1(E) for the vector subspace of L(E)\mathscr{L}(E) generated by all continuous, positive endomorphisms of E with finite trace.

By formula (25) of V, p. 50, the trace extends to a linear form on L1(E)\mathscr{L}^1(E), again denoted by Tr, and satisfying the relation Tr⁡(u)=∑i∈I⟨ei∣u(ei)⟩\operatorname{Tr}(u) = \sum_{i \in I} \langle e_i | u(e_i) \rangle for all uu in L1(E)\mathscr{L}^1(E) and for every orthonormal basis (ei)i∈I(e_i)_{i \in I} of E. For every u∈L1(E)u \in \mathscr{L}^1(E), we have u∗∈L1(E)u^* \in \mathscr{L}^1(E) and Tr⁡(u∗)=Tr⁡(u)‾\operatorname{Tr}(u^*) = \overline{\operatorname{Tr}(u)}. Formula (28) of V, p. 50 extends to the case where uu belongs to L1(E)\mathscr{L}^1(E). Let F be a hilbertian subspace of E; by formula (30), the orthoprojector pFp_F belongs to L1(E)\mathscr{L}^1(E) if and only if F is finite dimensional. For every aa and bb in E, we have 4ab∗=∑ε4=1ε(a+εb)(a+εb)∗4ab^* = \sum_{\varepsilon^4 = 1} \varepsilon(a + \varepsilon b)(a + \varepsilon b)^* and cc∗cc^* is a positive operator with finite trace for all c∈Ec \in E; consequently, if uu is a finite rank, continuous endomorphism of E, then u∈L1(E)u \in \mathscr{L}^1(E) and Tr⁡(u)=τ(u)\operatorname{Tr}(u) = \tau(u).

Let E be a real hilbertian space, and let E(c)E_{(c)} be its complexification (V, p. 5). We identify E with a subset of E(c)E_{(c)}. Then L(E)\mathscr{L}(E) can be identified with a real vector subspace of L(E(c))\mathscr{L}(E_{(c)}) consisting of all continuous linear mappings uu from E(c)E_{(c)} into E(c)E_{(c)} such that u(E)⊂Eu(E) \subset E. In this case we write L1(E)=L(E)∩L1(E(c))\mathscr{L}^1(E) = \mathscr{L}(E) \cap \mathscr{L}^1(E_{(c)}). For every u∈L1(E)u \in \mathscr{L}^1(E), the trace Tr⁡(u)\operatorname{Tr}(u) is real and is equal to Tr⁡(u∗)\operatorname{Tr}(u^*). Formulas (25) and (28) are again valid, Lf(E)⊂L1(E)\mathscr{L}_f(E) \subset \mathscr{L}^1(E) and Tr⁡(u)=τ(u)\operatorname{Tr}(u) = \tau(u) for all u∈Lf(E)u \in \mathscr{L}_f(E). Finally, a closed vector subspace F of E is finite dimensional if and only if pFp_F belongs to L1(E)\mathscr{L}^1(E).

\* Remark 1. — We shall later define the notion of a nuclear mapping from a Banach space E into a Banach space F. We shall show that when L1(E)\mathscr{L}^1(E) consists of all nuclear mappings from E into E, then E is a real or complex hilbertian space. \*

Proposition 14

— Let E1,...,EnE_1, ..., E_n be hilbertian spaces, E=E1⊗^2...⊗^2EnE = E_1 \hat{\otimes}_2 ... \hat{\otimes}_2 E_n, and uiu_i a continuous endomorphism of EiE_i for 1≤i≤n1 \leq i \leq n. If u1,...,unu_1, ..., u_n are positive, then so is u=u1⊗^2...⊗^2unu = u_1 \hat{\otimes}_2 ... \hat{\otimes}_2 u_n, and

Tr⁡(u)=∏i=1nTr⁡(ui). \operatorname{Tr}(u) = \prod_{i=1}^n \operatorname{Tr}(u_i).

If ui∈L1(Ei)u_i \in \mathscr{L}^1(E_i) for all 1≤i≤n1 \leq i \leq n, then u∈L1(E)u \in \mathscr{L}^1(E) and formula (31) is again valid in this case.

Proceeding by induction on nn, we immediately reduce to the case n=2n = 2.

For i=1,2i = 1, 2, we define a sesquilinear form Φi\Phi_i on EiE_i by the formula Φi(x,y)=⟨x∣ui(y)⟩\Phi_i(x, y) = \langle x | u_i(y) \rangle for x,yx, y in EiE_i. If u1u_1 and u2u_2 are positive, the forms Φ1\Phi_1 and Φ2\Phi_2 are hermitian and positive. By prop. 1 of V, p. 25 there exists a positive hermitian form Φ\Phi on the vector space E1⊗E2E_1 \otimes E_2 such that

Φ(x1⊗x2,y1⊗y2)=Φ1(x1,y1)⋅Φ2(x2,y2) \Phi(x_1 \otimes x_2, y_1 \otimes y_2) = \Phi_1(x_1, y_1) \cdot \Phi_2(x_2, y_2)

for x1,y1x_1, y_1 in E1E_1 and x2,y2x_2, y_2 in E2E_2. We verify immediately the relation Φ(z,t)=⟨z∣u(t)⟩\Phi(z, t) = \langle z | u(t) \rangle for zz and tt in E1⊗E2E_1 \otimes E_2. Since Φ\Phi is positive, we have ⟨z∣u(z)⟩≥0\langle z | u(z) \rangle \geq 0 for all zz in E1⊗E2E_1 \otimes E_2. Since uu is continuous and E1⊗E2E_1 \otimes E_2 is dense in the hilbertian space E=E1⊗^2E2E = E_1 \hat{\otimes}_2 E_2, we conclude that uu is a continuous and positive endomorphism of E.

Let (ei)i∈I(e_i)_{i \in I} be an orthonormal basis of E1E_1 and (fj)j∈J(f_j)_{j \in J} an orthonormal basis of E2E_2; then the family (ei⊗fj)i∈I,j∈J(e_i \otimes f_j)_{i \in I, j \in J} is an orthonormal basis of EE and we have

Tr⁡(u)=∑i∈I∑j∈J⟨ei⊗fj∣u(ei⊗fj)⟩=∑i∈I∑j∈J⟨ei∣u1(ei)⟩⋅⟨fj∣u2(fj)⟩=Tr⁡(u1)⋅Tr⁡(u2). \operatorname{Tr}(u) = \sum_{i \in I} \sum_{j \in J} \langle e_i \otimes f_j | u(e_i \otimes f_j) \rangle \\ = \sum_{i \in I} \sum_{j \in J} \langle e_i | u_1(e_i) \rangle \cdot \langle f_j | u_2(f_j) \rangle \\ = \operatorname{Tr}(u_1) \cdot \operatorname{Tr}(u_2) .

In particular, if u1u_1 and u2u_2 are positive endomorphisms with finite trace, then so is uu. By linearity, we deduce that uu belongs to L1(E)\mathscr{L}^1(E) when K=CK = \mathbf{C} and that the uiu_i belong to L1(Ei)\mathscr{L}^1(E_i) for i=1,2i = 1, 2; formula (31) extends to this case by linearity. Finally, the case when K=RK = \mathbf{R} and the ui∈L1(Ei)u_i \in \mathscr{L}^1(E_i) reduces to the complex case by extension of the scalars.

Remark 2

— Let EE be a hilbertian space, which is the hilbertian sum of a family (Ei)i∈I(E_i)_{i \in I} of hilbertian subspaces. Let uu be an element of L(E)\mathscr{L}(E) such that u(Ei)⊂Eiu(E_i) \subset E_i for all i∈Ii \in I; let uiu_i be the element of L(Ei)\mathscr{L}(E_i) which coincides with uu on EiE_i. Then Tr⁡(u)=∑i∈ITr⁡(ui)\operatorname{Tr}(u) = \sum_{i \in I} \operatorname{Tr}(u_i) when uu is positive, or belongs to L1(E)\mathscr{L}^1(E); this relation follows from formula (25) of V, p. 50 applied to an orthonormal basis of EE which is the union of orthonormal bases of each of the EiE_i.

7. Hilbert-Schmidt mappings

Definition 9

Let EE and FF be two hilbertian spaces. A continuous linear mapping uu from EE into FF is called a Hilbert-Schmidt mapping if the trace of the positive endomorphism u∗uu^*u of EE is finite. The set of all Hilbert-Schmidt mappings from EE into FF is denoted by L2(E,F)\mathscr{L}^2(E, F).

When E=FE = F, we write L2(E)\mathscr{L}^2(E) for L2(E;E)\mathscr{L}^2(E; E).

For every u∈L(E,F)u \in \mathscr{L}(E, F), let ∥u∥2=Tr⁡(u∗u)1/2\|u\|_2 = \operatorname{Tr}(u^*u)^{1/2}, so that uu belongs to L2(E;F)\mathscr{L}^2(E; F) if and only if ∥u∥2\|u\|_2 is finite. By the definition of the trace, we get

∥u∥22=sup⁡x1,…,xm∑i=1m∥u(xi)∥2 \|u\|_2^2 = \sup_{x_1, \ldots, x_m} \sum_{i=1}^m \|u(x_i)\|^2

where (x1,…,xm)(x_1, \ldots, x_m) range over the set of finite orthonormal sequences in EE. In particular, taking m=1m = 1 in formula (32), we have

∥u∥≤∥u∥2(u∈L(E;F)). \|u\| \leq \|u\|_2 \quad (u \in \mathscr{L}(E; F)) .

Let (ei)i∈I(e_i)_{i \in I} be an orthonormal basis of EE and (fj)j∈J(f_j)_{j \in J} an orthonormal basis of FF. By formula (25) of V, p. 50 and the Parseval’s relation (V, p. 22), we have

∥u∥22=∑i∈I∥u(ei)∥2=∑i,j∣⟨fj∣u(ei)⟩∣2. \|u\|_2^2 = \sum_{i \in I} \|u(e_i)\|^2 = \sum_{i,j} |\langle f_j | u(e_i) \rangle|^2 .

Since ∣⟨fj∣u(ei)⟩∣=∣⟨ei∣u∗(fj)⟩∣|\langle f_j|u(e_i)\rangle| = |\langle e_i|u^*(f_j)\rangle|, formula (34) implies that

∥u∗∥2=∥u∥; \|u^*\|_2 = \|u\| ;
hence, the adjoint of a Hilbert-Schmidt mapping is a Hilbert-Schmidt mapping. Let E1,F1E_1, F_1 be hilbertian spaces and v:E1→E,w:F→F1v : E_1 \to E, w : F \to F_1 continuous linear mappings. From (32), we deduce immediately that
∥wu∥2≤∥w∥.∥u∥2. \|wu\|_2 \leq \|w\|.\|u\|_2 .
By (35), (36) and the relation uv=(v∗u∗)∗uv = (v^*u^*)^*, we get
∥uv∥2≤∥u∥2 ∥v∥. \|uv\|_2 \leq \|u\|_2\,\|v\| .
In particular, if uu belongs to L2(E,F)\mathscr{L}^2(E, F) then wuvwuv belongs to L2(E1,F1)\mathscr{L}^2(E_1, F_1).

Theorem 1

Let E and F be two hilbertian spaces.* (i) The set L2(E,F)\mathscr{L}^2(E, F) is a vector subspace of L(E;F)\mathscr{L}(E; F) and u↦∥u∥2u \mapsto \|u\|_2 is a hilbertian norm (V, p. 6) on L2(E;F)\mathscr{L}^2(E; F). (ii) *The isomorphism θ\theta from F⊗E′F \otimes E' onto Lf(E;F)\mathscr{L}_f(E; F) characterized by θ(y⊗x∗)=yx∗\theta(y \otimes x^*) = yx^* extends to an isomorphism θ^\hat{\theta} from F⊗2E′F \otimes_2 E' onto L2(E;F)\mathscr{L}^2(E; F). In particular, Lf(E;F)\mathscr{L}_f(E; F) is dense in L2(E;F)\mathscr{L}^2(E; F).

Let (ei)i∈I(e_i)_{i \in I} (resp. (fj)j∈J(f_j)_{j \in J}) be an orthonormal basis of EE (resp. FF). For every u∈L(E;F)u \in \mathscr{L}(E; F), let Λ(u)\Lambda(u) be the matrix of uu with respect to chosen orthonormal bases for EE and FF (V, p. 22). Let ∥a∥2\|a\|_2 denote the norm of an element aa of the hilbertian space ℓ2(J×I)\ell^2(J \times I). By formula (34), Λ\Lambda is a mapping from L2(E;F)\mathscr{L}^2(E; F) into ℓ2(J×I)\ell^2(J \times I) such that ∥Λ(u)∥2=∥u∥\|\Lambda(u)\|_2 = \|u\|; it is clear that Λ\Lambda is injective. To prove (i), it is enough to prove that Λ\Lambda is surjective. Let a=(aji)a = (a_{ji}) be an element of ℓ2(J×I)\ell^2(J \times I); by Cauchy-Schwarz inequality, we have

∣∑j,iη‾jajiξi∣2≤∑j,i∣aji∣2∑j,i∣η‾jξi∣2=∥a∥22 ∥ξ∥2 ∥η∥2 |\sum_{j,i} \overline{\eta}_j a_{ji} \xi_i|^2 \leq \sum_{j,i} |a_{ji}|^2 \sum_{j,i} |\overline{\eta}_j \xi_i|^2 = \|a\|_2^2\,\|\xi\|^2\,\|\eta\|^2
for every ξ=(ξi)\xi = (\xi_i) in ℓ2(I)\ell^2(I) and η=(ηj)\eta = (\eta_j) in ℓ2(J)\ell^2(J). Then there exists a continuous sesquilinear form Φ\Phi on F×EF \times E such that Φ(y,x)=∑j,iη‾jajiξi\Phi(y, x) = \sum_{j,i} \overline{\eta}_j a_{ji} \xi_i for x=∑iξieix = \sum_i \xi_i e_i in EE and y=∑jηjfjy = \sum_j \eta_j f_j in FF. Let u∈L(E;F)u \in \mathscr{L}(E; F) be such that Φ(y,x)=⟨y∣u(x)⟩\Phi(y, x) = \langle y|u(x)\rangle (V, p. 16, cor. 2). We get
aji=Φ(fj,ei)=⟨fj∣u(ei)⟩fori∈I,j∈J, a_{ji} = \Phi(f_j, e_i) = \langle f_j|u(e_i)\rangle \quad \text{for} \quad i \in I, j \in J ,
hence a=Λ(u)a = \Lambda(u).

Since Λ\Lambda is a hilbertian space isomorphism from L2(E;F)\mathscr{L}^2(E; F) onto ℓ2(J×I)\ell^2(J \times I) and since (fj⊗ei∗)(f_j \otimes e_i^*) is an orthonormal basis of F⊗2E′F \otimes_2 E', there exists an isomorphism θ^\hat{\theta} from F⊗2E′F \otimes_2 E' onto L2(E;F)\mathscr{L}^2(E; F) such that

⟨fj∣θ^(t) ei⟩=⟨fj⊗ei∗∣t⟩ \langle f_j|\hat{\theta}(t)\,e_i\rangle = \langle f_j \otimes e_i^*|t\rangle

for every i∈I, j∈Ii \in I,\ j \in I and t∈F⊗2E′t \in F \otimes_2 E'. In particular, for t=y⊗x∗t = y \otimes x^*, we find

⟨fj∣θ^(y⊗x∗)ei⟩=⟨fj⊗ei∗∣y⊗x∗⟩=⟨fj∣y⟩⟨x∣ei⟩=⟨fj∣yx∗ei⟩ \langle f_j | \hat{\theta}(y \otimes x^*) e_i \rangle = \langle f_j \otimes e_i^* | y \otimes x^* \rangle = \langle f_j | y \rangle \langle x | e_i \rangle = \langle f_j | y x^* e_i \rangle
hence θ^(y⊗x∗)=yx∗\hat{\theta}(y \otimes x^*) = y x^*. This proves (ii). Q.E.D.

Example 1

Let I and J be two sets. By the proof given above, in order that a mapping uu from ℓ2(I)\ell^2(I) into ℓ2(J)\ell^2(J) be a Hilbert-Schmidt mapping, it is necessary and sufficient that there exists a matrix (aji)(a_{ji}) in ℓ2(J×I)\ell^2(J \times I) such that u(ξ)j=∑i∈Iajiξiu(\xi)_j = \sum_{i \in I} a_{ji} \xi_i for all ξ=(ξi)\xi = (\xi_i) in ℓ2(I)\ell^2(I).

Example 2

\* Let X and Y be two Hausdorff topological spaces, endowed respectively with positive measures μ\mu and ν\nu. We can show that the Hilbert-Schmidt mappings from L2(X)\mathscr{L}^2(X) into L2(Y)\mathscr{L}^2(Y) correspond bijectively to classes of square integrable functions on Y×XY \times X; to the class of a function N∈L2(Y×X,ν⊗μ)N \in \mathscr{L}^2(Y \times X, \nu \otimes \mu) corresponds the mapping uNu_N given by

(uNf)(y)=∫XN(y,x)f(x) dμ(x) (u_N f)(y) = \int_X N(y, x) f(x) \, d\mu(x)
for ν\nu-almost all y∈Yy \in Y and f∈L2(X,μ)f \in \mathscr{L}^2(X, \mu). We have
∥uN∥22=∫X∫Y∣N(y,x)∣2 dμ(x) dν(y). \| u_N \|_2^2 = \int_X \int_Y |N(y, x)|^2 \, d\mu(x) \, d\nu(y) .

Remark 1

Suppose K=CK = \mathbf{C}. Let uu and vv be in L2(E;F)\mathscr{L}^2(E; F). We have the relation

4 u∗v=∑ε4=1ε‾(u+εv)∗(u+εv), 4\, u^* v = \sum_{\varepsilon^4 = 1} \overline{\varepsilon}(u + \varepsilon v)^* (u + \varepsilon v),
hence u∗vu^* v belongs to L1(E)\mathscr{L}^1(E). The scalar product in the hilbertian space L2(E;F)\mathscr{L}^2(E; F) is given by
⟨u∣v⟩=Tr⁡(u∗v) \langle u | v \rangle = \operatorname{Tr}(u^* v)
since this formula defines a hermitian form on L2(E;F)\mathscr{L}^2(E; F) and we get ⟨u∣u⟩=∥u∥22\langle u | u \rangle = \| u \|_2^2.

If u∈L2(E;F)u \in \mathscr{L}^2(E; F) and v∈L2(F;E)v \in \mathscr{L}^2(F; E), then vuvu belongs to L1(E)\mathscr{L}^1(E) and uvuv to L1(F)\mathscr{L}^1(F) by the preceding; moreover, we have

Tr⁡(uv)=Tr⁡(vu). \operatorname{Tr}(uv) = \operatorname{Tr}(vu) .
By linearity and continuity, it is enough to verify this formula when u=y1x1∗u = y_1 x_1^* and v=x2y2∗v = x_2 y_2^* (with x1,x2x_1, x_2 in E, y1,y2y_1, y_2 in F); but then uvuv is the mapping y↦y1⟨x1∣x2⟩⟨y2∣y⟩y \mapsto y_1 \langle x_1 | x_2 \rangle \langle y_2 | y \rangle and vuvu the mapping x↦x2⟨y2∣y1⟩⟨x1∣x⟩x \mapsto x_2 \langle y_2 | y_1 \rangle \langle x_1 | x \rangle, and (41) follows from formula (22) of V, p. 48.

Consequently, if u1,u2u_1, u_2 are two elements of L2(E;F)\mathscr{L}^2(E; F), we have, in the hilbertian space L2(F;E)\mathscr{L}^2(F; E),

⟨u1∗∣u2∗⟩=Tr⁡(u1u2∗)=Tr⁡(u2∗u1)=⟨u2∣u1⟩=⟨u1∣u2⟩‾; \langle u_1^* | u_2^* \rangle = \operatorname{Tr}(u_1 u_2^*) = \operatorname{Tr}(u_2^* u_1) = \langle u_2 | u_1 \rangle = \overline{\langle u_1 | u_2 \rangle} ;
in other words, u↦u∗u \mapsto u^* is an isomorphism from the hilbertian space L2(E;F)\mathscr{L}^2(E; F) onto the conjugate (V, p. 6) of the hilbertian space L2(F;E)\mathscr{L}^2(F; E). If we identify this conjugate with the dual of L2(F;E)\mathscr{L}^2(F; E) (V, p. 15), we see that L2(E;F)\mathscr{L}^2(E; F) can be identified with the dual of L2(F;E)\mathscr{L}^2(F; E), the canonical bilinear form (v,u)↦⟨v,u⟩(v, u) \mapsto \langle v, u \rangle being identified with (v,u)↦Tr⁡(vu)(v, u) \mapsto \operatorname{Tr}(vu).

Remark 2

Suppose K=RK = \mathbf{R}. We leave it to the reader to verify that formulas (40) and (41) are again valid, and to show that L2(E;F)\mathscr{L}^2(E; F) can be identified with the dual of L2(F;E)\mathscr{L}^2(F; E) by means of the bilinear form (u,v)↦Tr⁡(uv)(u, v) \mapsto \operatorname{Tr}(uv).

8. Diagonalization of Hilbert-Schmidt mappings

Theorem 2

Let E and F be two hilbertian spaces and u a Hilbert-Schmidt mapping from E into F. There exists an orthonormal basis (ei)i∈I(e_i)_{i \in I} of E which is transformed by u into an orthogonal family in F.

Let B denote the (closed) unit ball of E, with the weakened topology assigned to it; this is a compact space (V, p. 17). We put Q(x)=∥u(x)∥2Q(x) = \|u(x)\|^2 for all x∈Bx \in B. Finally let P denote the set of all vectors x in E satisfying the following property ;

(H) For every y∈Ey \in E orthogonal to x, the element u(y)u(y) of E is orthogonal to u(x)u(x).

Lemma 4

The function Q:B→RQ : B \to \mathbf{R} is continuous.

Let (fj)j∈J(f_j)_{j \in J} be an orthonormal basis of F. Put λj=∥u∗(fj)∥2\lambda_j = \|u^*(f_j)\|^2 for all j∈Jj \in J. Since uu belongs to L2(E;F)\mathscr{L}^2(E; F) we have u∗∈L2(F;E)u^* \in \mathscr{L}^2(F; E), hence ∑jλj<+∞\sum_j \lambda_j < +\infty. Further, we have

Q(x)=∥u(x)∥2=∑j∣⟨u∗(fj)∣x⟩∣2 Q(x) = \|u(x)\|^2 = \sum_j |\langle u^*(f_j)|x \rangle|^2
by Parseval’s formula (V, p. 22) and the definition of the adjoint (V, p. 38). For every x∈Bx \in B, ∣⟨u∗(fj)∣x⟩∣2≤λj|\langle u^*(f_j)|x \rangle|^2 \leq \lambda_j by Cauchy-Schwarz inequality; consequently, the convergence of the sum in formula (43) is uniform on B, hence lemma 4 (GT, X, § 1, No. 6).

Lemma 5

Let E1E_1 be a closed vector subspace of E, stable under u∗uu^*u. If E1≠{0}E_1 \neq \{0\}, then there exists a vector of norm 1 in E1∩PE_1 \cap P.

Since B is weakly compact, so is the weakly closed subspace B∩E1B \cap E_1 of B. Hence there exists (GT, IV, § 6, No. 1, th. 1) a point x0x_0 in B∩E1B \cap E_1 such that Q(x0)≥Q(x)Q(x_0) \geq Q(x) for all x∈B∩E1x \in B \cap E_1. If Q(x0)=0Q(x_0) = 0, we have Q(x)=0Q(x) = 0 and so u(x)=0u(x) = 0 for all x∈B∩E1x \in B \cap E_1. Thus E1⊂PE_1 \subset P and lemma 5 follows in this case.

Suppose now that Q(x0)>0Q(x_0) > 0, then x0≠0x_0 \neq 0. Since the vector ∥x0∥−1⋅x0\|x_0\|^{-1} \cdot x_0 belongs to B∩E1B \cap E_1, we have

Q(x0)≥Q(∥x0∥−1⋅x0)=Q(x0)/∥x0∥2 Q(x_0) \geq Q(\|x_0\|^{-1} \cdot x_0) = Q(x_0)/\|x_0\|^2
i.e. ∥x0∥=1\|x_0\| = 1. We shall prove that x0x_0 belongs to P; let y∈Ey \in E be orthogonal to x0x_0. It is enough to prove that u(y)u(y) is orthogonal to u(x0)u(x_0). But since yy is the sum of a vector of E1E_1 and a vector orthogonal to E1E_1, and both orthogonal to x0x_0 (since x0∈E1x_0 \in E_1), it is enough to consider the following two cases :

a) yy is orthogonal to E1E_1: since E1E_1 is stable under u∗uu^*u, u∗u(x0)∈E1u^*u(x_0) \in E_1, hence 0=⟨y∣u∗u(x0)⟩=⟨u(y)∣u(x0)⟩0 = \langle y|u^*u(x_0)\rangle = \langle u(y)|u(x_0)\rangle.

b) yy belongs to E1E_1: for all t∈Rt \in \mathbf{R}, the vector x(t)=(x0+ty)/∥x0+ty∥x(t) = (x_0 + ty)/\|x_0 + ty\| belongs to B∩E1B \cap E_1. We have Q(xt)=f(t)/g(t)Q(xt) = f(t)/g(t) with

f(t)=∥u(x0)∥2+2tℜ⟨u(x0)∣u(y)⟩+t2∥u(y)∥2g(t)=1+t2∥y∥2. f(t) = \|u(x_0)\|^2 + 2t \Re \langle u(x_0)|u(y)\rangle + t^2 \|u(y)\|^2 \\ g(t) = 1 + t^2 \|y\|^2 .
In view of the definition of x0x_0, we have Q(x(0))≥Q(x(t))Q(x(0)) \geq Q(x(t)) for all real tt, hence ddtQ(x(t))\frac{d}{dt} Q(x(t)) is zero for t=0t = 0. But f(0)=∥u(x0)∥2f(0) = \|u(x_0)\|^2, g(0)=1g(0) = 1, f′(0)=2ℜ⟨u(x0)∣u(y)⟩f'(0) = 2 \Re \langle u(x_0)|u(y)\rangle, g′(0)=0g'(0) = 0. Since
ddtQ(x(t))=f′(t) g(t)−f(t) g′(t)g(t)2, \frac{d}{dt} Q(x(t)) = \frac{f'(t)\,g(t) - f(t)\,g'(t)}{g(t)^2},
we conclude that f′(0)=0f'(0) = 0, that is, ℜ⟨u(x0)∣u(y)⟩=0\Re \langle u(x_0)|u(y)\rangle = 0. When K=RK = \mathbf{R}, u(x0)u(x_0) is orthogonal to u(y)u(y), when K=CK = \mathbf{C}, the vector iyiy belongs to E1E_1 and is orthogonal to x0x_0, hence I⟨u(x0)∣u(y)⟩=−ℜ⟨u(x0)∣u(iy)⟩=0\mathscr{I} \langle u(x_0)|u(y)\rangle = -\Re \langle u(x_0)|u(iy)\rangle = 0, and finally u(x0)u(x_0) is orthogonal to u(y)u(y). This proves lemma 5.

Now we prove th. 2. Applying th. 1 of S, III, § 4, No. 5 we see, as in V, p. 23, that there exists a set SS which is maximal among the orthonormal subsets of EE contained in PP. Let E1E_1 be the set of all vectors orthogonal to SS. Let y∈E1y \in E_1; if x∈Sx \in S, the vectors xx and yy are orthogonal, and since S⊂PS \subset P, we conclude that u(x)u(x) and u(y)u(y) are orthogonal; then

⟨x∣u∗u(y)⟩=⟨u(x)∣u(y)⟩=0 \langle x|u^*u(y)\rangle = \langle u(x)|u(y)\rangle = 0
and u∗u(y)u^*u(y) is orthogonal to SS. Hence E1E_1 is stable under u∗uu^*u. If we had E1≠{0}E_1 \neq \{0\}, there would exist a vector xx of norm 1 in E1∩PE_1 \cap P (lemma 5) and S∪{x}S \cup \{x\} would be an orthonormal subset of EE contained in PP. This would contradict the maximal character of SS. Hence E1={0}E_1 = \{0\} and SS is an orthonormal basis of EE. Q.E.D.

Corollary 1

— *Let vv be a continuous, positive endomorphism with finite trace of the hilbertian space EE. There exists an orthonormal basis (ei)i∈I(e_i)_{i \in I} of EE and a summable family of positive real numbers (λi)i∈I(\lambda_i)_{i \in I} such that v(ei)=λieiv(e_i) = \lambda_i e_i for all i∈Ii \in I.

Let Φ(x,y)=⟨x∣v(y)⟩\Phi(x, y) = \langle x|v(y)\rangle for x,yx, y in EE. Then Φ\Phi is a positive hermitian form on EE. There exists (V, p. 8, corollary) a hilbertian space FF and a continuous linear mapping uu from EE into FF such that Φ(x,y)=⟨u(x)∣u(y)⟩\Phi(x, y) = \langle u(x)|u(y)\rangle for x,yx, y in EE. In other words, we have v=u∗uv = u^*u. By virtue of def. 9 (V, p. 52), uu is a Hilbert-Schmidt mapping from EE into FF. By th. 2, there exists an orthonormal basis (ei)i∈I(e_i)_{i \in I} of EE such that the vectors u(ei)u(e_i) are two by two orthogonal. Let i∈Ii \in I; for every j≠ij \neq i in II, we have

⟨ej∣v(ei)⟩=⟨u(ej)∣u(ei)⟩=0 \langle e_j|v(e_i)\rangle = \langle u(e_j)|u(e_i)\rangle = 0

hence v(ei)v(e_i) is proportional to eie_i and is of the form λiei\lambda_i e_i, where λi=⟨ei∣v(ei)⟩\lambda_i = \langle e_i | v(e_i) \rangle; then

λi⩾0and∑i∈Iλi=Tr⁡(v)<+∞. \lambda_i \geqslant 0 \quad \text{and} \quad \sum_{i \in I} \lambda_i = \operatorname{Tr}(v) < + \infty .

Corollary 2

Let E be a hilbertian space. Then L1(E)⊂L2(E)\mathscr{L}^1(E) \subset \mathscr{L}^2(E).

The real case reduces to the complex case by the extension of scalars; we can therefore assume that K=CK = \mathbf{C}.

Since L2(E)\mathscr{L}^2(E) is a vector subspace of L(E)\mathscr{L}(E), it is enough to prove that every continuous and positive endomorphism vv of E with finite trace belongs to L2(E)\mathscr{L}^2(E). With the notations of cor. 1, we have

∑i∈I∥v(ei)∥2=∑i∈Iλi2≤(∑iλi)2<+∞. \sum_{i \in I} \| v(e_i) \|^2 = \sum_{i \in I} \lambda_i^2 \leq (\sum_i \lambda_i)^2 < + \infty .

Corollary 3

Let v be a continuous positive endomorphism of the hilbertian space E with a finite trace. There exists a positive Hilbert-Schmidt endomorphism w of E such that v=w2v = w^2 and such that v commutes with w.

With the notations of cor. 1, it is enough to consider the endomorphism w which transforms the vector ∑i∈Iξiei\sum_{i \in I} \xi_i e_i into the vector ∑iλi1/2ξiei\sum_i \lambda_i^{1/2} \xi_i e_i.

Remark

— With the notations of th. 2, let J be the set of all i∈Ii \in I such that u(ei)≠0u(e_i) \neq 0. For all i∈Ji \in J, let λi=∥u(ei)∥\lambda_i = \| u(e_i) \| and fi=λi−1u(ei)f_i = \lambda_i^{-1} u(e_i). Then (ei)i∈J(e_i)_{i \in J} (resp. (fi)i∈J(f_i)_{i \in J}) is an orthonormal basis of the initial (resp. final) subspace of u, we have u(ei)=λifiu(e_i) = \lambda_i f_i for all i∈Ji \in J and ∑i∈Jλi2=∥u∥22\sum_{i \in J} \lambda_i^2 = \| u \|_2^2 is finite.

9. Trace of a quadratic form with respect to another

In this section, E will denote a real vector space and Q, H two positive quadratic forms on E. There exist two symmetric bilinear forms (x,y)↦⟨x∣y⟩Q(x, y) \mapsto \langle x | y \rangle_Q and (x,y)↦⟨x∣y⟩H(x, y) \mapsto \langle x | y \rangle_H on E×EE \times E, characterized by

Q(x)=⟨x∣x⟩Q,H(x)=⟨x∣x⟩H Q(x) = \langle x | x \rangle_Q , \quad H(x) = \langle x | x \rangle_H

for all x∈Ex \in E.

We call the trace of Q with respect to H, and write Tr⁡(Q/H)\operatorname{Tr}(Q/H), a real positive number, finite or not, defined as follows :

a) If there exists x∈Ex \in E with H(x)=0H(x) = 0 and Q(x)≠0Q(x) \neq 0, we put Tr⁡(Q/H)=+∞\operatorname{Tr}(Q/H) = + \infty.

b) Otherwise, Tr⁡(Q/H)\operatorname{Tr}(Q/H) is the upper bound of the set of all numbers of the form ∑i=1mQ(xi)\sum_{i=1}^m Q(x_i) where (x1,...,xm)(x_1, ..., x_m) range over the set of finite sequences of elements of E such that ⟨xi∣xj⟩H=δij\langle x_i | x_j \rangle_H = \delta_{ij} (Kronecker’s symbol).

Remark

— 1) For every subspace F of E, let QFQ_F denote the restriction of Q to F and HFH_F that of H. We have Tr⁡(QF/HF)≤Tr⁡(Q/H)\operatorname{Tr}(Q_F/H_F) \leq \operatorname{Tr}(Q/H) and Tr⁡(Q/H)\operatorname{Tr}(Q/H) is the upper bound of the set of all numbers Tr⁡(QF/HF)\operatorname{Tr}(Q_F/H_F) where FF ranges over the family of all finite dimensional vector subspaces of EE.

2) Let E1E_1 be a real vector space, Q1Q_1 and H1H_1 two positive quadratic forms on E1E_1 and π:E→E1\pi : E \to E_1 a surjective linear mapping. If Q=Q1∘πQ = Q_1 \circ \pi and H=H1∘πH = H_1 \circ \pi, then Tr⁡(Q/H)=Tr⁡(Q1/H1)\operatorname{Tr}(Q/H) = \operatorname{Tr}(Q_1/H_1).

Proposition 15

Suppose that there exists a real hilbertian space structure on EE such that H(x)=∥x∥2H(x) = \|x\|^2 for all x∈Ex \in E. For Tr⁡(Q/H)\operatorname{Tr}(Q/H) to be finite, it is necessary and sufficient that there exists a continuous and positive endomorphism uu of EE with finite trace, such that Q(x)=⟨x∣u(x)⟩Q(x) = \langle x|u(x)\rangle for all x∈Ex \in E; this endomorphism uu is unique, and we have

Tr⁡(u)=Tr⁡(Q/H)=∑i∈IQ(ei) \operatorname{Tr}(u) = \operatorname{Tr}(Q/H) = \sum_{i \in I} Q(e_i)

for every orthonormal bases (ei)i∈I(e_i)_{i \in I} of EE.

Suppose that Tr⁡(Q/H)\operatorname{Tr}(Q/H) is finite. For every x∈Ex \in E of norm 1, we have H(x)=1H(x) = 1, hence Q(x)≤Tr⁡(Q/H)Q(x) \leq \operatorname{Tr}(Q/H). Therefore, Q(x)≤Tr⁡(Q/H)⋅∥x∥2Q(x) \leq \operatorname{Tr}(Q/H) \cdot \|x\|^2 for all x∈Ex \in E, and

∣⟨x∣y⟩Q∣≤Q(x)1/2Q(y)1/2≤Tr⁡(Q/H)⋅∥x∥⋅∥y∥ |\langle x|y\rangle_Q| \leq Q(x)^{1/2} Q(y)^{1/2} \leq \operatorname{Tr}(Q/H) \cdot \|x\| \cdot \|y\|

by the Cauchy-Schwarz inequality. Consequently, the bilinear form (x,y)↦⟨x∣y⟩Q(x, y) \mapsto \langle x|y\rangle_Q on E×EE \times E is continuous. There exists (V, p. 16, cor. 2) a mapping u∈L(E)u \in \mathscr{L}(E) such that ⟨x∣y⟩Q=⟨x∣u(y)⟩\langle x|y\rangle_Q = \langle x|u(y)\rangle. We have ⟨x∣y⟩Q=⟨y∣x⟩Q\langle x|y\rangle_Q = \langle y|x\rangle_Q for x,yx, y in EE, hence uu is hermitian; and ⟨x∣u(x)⟩=Q(x)≥0\langle x|u(x)\rangle = Q(x) \geq 0, hence uu is positive.

Conversely, let uu be a continuous and positive endomorphism of EE such that Q(x)=⟨x∣u(x)⟩Q(x) = \langle x|u(x)\rangle for all x∈Ex \in E. Then

⟨x∣u(y)⟩=12(Q(x+y)−Q(x)−Q(y))=⟨x∣y⟩Q, \langle x|u(y)\rangle = \frac{1}{2}(Q(x + y) - Q(x) - Q(y)) = \langle x|y\rangle_Q,

which gives the uniqueness of uu. By formula (24') (V, p. 50), we get

Tr⁡(u)=sup⁡x1,…,xm∑i=1m⟨xi∣u(xi)⟩=sup⁡x1,…,xm∑i=1mQ(xi), \operatorname{Tr}(u) = \sup_{x_1, \ldots, x_m} \sum_{i=1}^m \langle x_i|u(x_i)\rangle = \sup_{x_1, \ldots, x_m} \sum_{i=1}^m Q(x_i),

where (x1,…,xm)(x_1, \ldots, x_m) range over the set of all finite orthonormal sequences of elements of EE. By the definition of Tr⁡(Q/H)\operatorname{Tr}(Q/H), we get Tr⁡(u)=Tr⁡(Q/H)\operatorname{Tr}(u) = \operatorname{Tr}(Q/H). Finally, for every orthonormal basis (ei)i∈I(e_i)_{i \in I} of EE, we have Tr⁡(u)=∑i∈I⟨ei∣u(ei)⟩\operatorname{Tr}(u) = \sum_{i \in I} \langle e_i|u(e_i)\rangle by formula (25) of V, p. 50, hence Tr⁡(u)=∑i∈IQ(ei)\operatorname{Tr}(u) = \sum_{i \in I} Q(e_i).

Remark 3

Let EE and FF be two hilbertian spaces and vv a linear, not necessarily continuous mapping from EE into FF. Let H(x)=∥x∥2H(x) = \|x\|^2 and Q(x)=∥v(x)∥2Q(x) = \|v(x)\|^2 for all x∈Ex \in E. It follows from prop. 15 that vv is a Hilbert-Schmidt mapping if and only if Tr⁡(Q/H)\operatorname{Tr}(Q/H) is finite, and then Tr⁡(Q/H)=∥v∥22\operatorname{Tr}(Q/H) = \|v\|_2^2.

Remark 4

Suppose EE is finite dimensional. When the quadratic form HH is invertible, prop. 15 applies. Let (e1,…,en)(e_1, \ldots, e_n) be a basis of EE. Put qij=⟨ei∣ej⟩Qq_{ij} = \langle e_i|e_j\rangle_Q and hij=⟨ei∣ej⟩Hh_{ij} = \langle e_i|e_j\rangle_H and introduce the matrices q=(qij)q = (q_{ij}) and h=(hij)h = (h_{ij}). Let uu be an endomorphism of EE such that Q(x)=⟨x∣u(x)⟩HQ(x) = \langle x|u(x)\rangle_H for all x∈Ex \in E. We have

⟨x∣y⟩Q=⟨x∣u(y)⟩H(x,y∈E), \langle x|y\rangle_Q = \langle x|u(y)\rangle_H \quad (x, y \in E),

and hence the matrix of uu with respect to the basis (e1,...,en)(e_1, ..., e_n) of E is equal to h−1qh^{-1} q. By prop. 15, we have

Tr(Q/H)=Tr(h−1q)=Tr(qh−1). \text{Tr}(Q/H) = \text{Tr}(h^{-1} q) = \text{Tr}(qh^{-1}) .

If the basis (e1,...,en)(e_1, ..., e_n) is orthonormal for H, then hh is the unit matrix of order nn, and we get

Tr(Q/H)=Tr(q)=∑i=1nQ(ei); \text{Tr}(Q/H) = \text{Tr}(q) = \sum_{i=1}^n Q(e_i) ;

so that we get formula (44) in this case.

Now suppose that the quadratic form H is not invertible. Let N be the kernel of H, and let π\pi be the canonical mapping from E onto E/N. There exists an invertible quadratic form H1H_1 on E/N such that H=H1∘πH = H_1 \circ \pi. Let (e1,...,en)(e_1, ..., e_n) be a sequence of elements of E such that the sequence (π(e1),...,π(em))(\pi(e_1), ..., \pi(e_m)) is a basis of E/N, which is orthonormal for H1H_1. Let (e1,...,en)(e_1, ..., e_n) be a basis of N. Then (e1,...,en)(e_1, ..., e_n) is a basis of E and we have

H(ξ1e1+⋯+ξnen)=ξ12+⋯+ξm2 H(\xi_1 e_1 + \cdots + \xi_n e_n) = \xi_1^2 + \cdots + \xi_m^2

for all real numbers ξ1,...,ξn\xi_1, ..., \xi_n.

Suppose that for all x∈Ex \in E, the relation H(x)=0H(x) = 0 implies Q(x)=0Q(x) = 0; in other words, suppose that there exists a quadratic form Q1Q_1 on E/N such that Q=Q1∘πQ = Q_1 \circ \pi. By remark 2 and prop. 15, we have,

Tr(Q/H)=Q(e1)+⋯+Q(em). \text{Tr}(Q/H) = Q(e_1) + \cdots + Q(e_m) .

Exercises

Exercises

See the exercises for § 4.

Transcribed from the printed volume. Not translated.