§ 4. Some classes of operators in hilbertian spaces
Throughout this paragraph, lE denotes the identity mapping of a hilbertian space E. The composition v∘u of two linear mappings will usually be denoted by vu or v.u.
1. Adjoint
Proposition 1
— Let E and F be two hilbertian spaces. For every mapping u∈L(E;F), there exists a unique mapping u∗∈L(F;E) such that
⟨u(x)∣y⟩F=⟨x∣u∗(y)⟩E
for all x∈E and all y∈F. The mapping u↦u∗ from L(E,F) into L(F;E) is bijective, isometric and semi-linear (with respect to the automorphism ξ↦ξ of K).
Let S(E,F) be the space of all continuous sesquilinear forms on E×F, endowed with the norm
∥Φ∥=∥x∥≤1,∥y∥≤1sup∣Φ(x,y)∣.
We define the space S(F,E) similarly. We defined (V, p. 16, cor. 2) a Banach space isomorphism from L(E;F) onto S(F,E), denoted by u↦Φu and characterized by
Φu(y,x)=⟨y∣u(x)⟩F(x∈E, y∈F).
In an analogous way we define an isomorphism from L(F,E) onto S(E,F). Finally we define a mapping Φ↦Φ∗ from S(F,E) onto S(E,F) by
Φ∗(x,y)=Φ(y,x)(x∈E, y∈F).
This mapping is bijective, semi-linear and isometric. But formula (1) translates as Φu∗=(Φu)∗, hence the proposition.
Definition 1
— Let E and F be two hilbertian spaces. For every continuous linear mapping u:E→F, the continuous linear mapping from F into E defined by formula (1) is called the adjoint of u and is denoted by u∗.
We have
(u+v)∗(λu)∗(u∗)∗(1E)∗(wu)∗=u∗+v∗=λu∗=u=1E=u∗w∗;
in all these formulas, u and v belong to L(E;F), λ is in K, and w in L(F;G) where G is a hilbertian space. Formulas (5) and (6) mean that u↦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)⟩, and this proves that u is the adjoint of u∗. Finally, with the notations of (9), we have, for all z∈G
⟨w(u(x))∣z⟩=⟨u(x)∣w∗(z)⟩=⟨x∣u∗(w∗(z))⟩,
hence u∗w∗ is the adjoint of wu.
Let u:E→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∗ is bijective and bicontinuous and that
(10)
(u−1)∗=(u∗)−1.
Proposition 2
For every u∈L(E;F), we have
(11)
∥u∗u∥=∥uu∗∥=∥u∥2=∥u∗∥2.
By prop. 1, ∥u∗∥=∥u∥, hence ∥u∗u∥≤∥u∗∥⋅∥u∥≤∥u∥2. On the other hand,
∥u∥2=∥x∥≤1sup∥u(x)∥2=∥x∥≤1sup⟨u(x)∣u(x)⟩=∥x∥≤1sup⟨x∣u∗u(x)⟩≤∥u∗u∥,
hence ∥u∗u∥=∥u∥2. Replacing u by u∗, we get ∥uu∗∥=∥u∗∥2, hence (11) follows since ∥u∥=∥u∗∥.
Let E1,...,En and F1,...,Fn be hilbertian spaces, and for every integer i between 1 and n, let ui be a continuous linear mapping from Ei into Fi. Then
(12)
(u1⊗^2...⊗^2un)∗=u1∗⊗^2...⊗^2un∗.
Let v be the continuous linear mapping u1⊗^2...⊗^2un from
E=E1⊗^2...⊗^2EnintoF=F1⊗^2...⊗^2Fn
and w the continuous linear mapping u1∗⊗^2...⊗^2un∗ from F into E. It is enough to prove the equality ⟨y∣v(x)⟩=⟨w(y)∣x⟩ for x∈E and y∈F. By linearity and continuity, we reduce to the case when x and y have the following form
x=x1⊗...⊗xn,y=y1⊗...⊗yn
with xi∈Ei and yi∈Fi for 1≤i≤n. From the definition of scalar product in a tensor product (V, p. 27, formula (6)), we then get
⟨y∣v(x)⟩=i=1∏n⟨yi∣ui(xi)⟩=i=1∏n⟨ui∗(yi)∣xi⟩=⟨w(y)∣x⟩.
This proves our assertion.
Let E and F be two hilbertian spaces, u∈L(E;F) and n a positive integer. If we put u1=...=un=u in formula (12) we obtain the result that the continuous linear mapping T^n(u∗) from T^n(F) into T^n(E) is the adjoint of the continuous linear mapping T^n(u) from T^n(E) into T^n(F). The formulas
S^n(u)∗=S^n(u∗),Λ^n(u)∗=Λ^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) (V, p. 30, formula (15)) and in Λ^n(E) (V, p. 33, formula (26)).
Proposition 3
— Let E and F be two hilbertian spaces and u∈L(E;F). The following conditions are equivalent :
(i) u is a topological vector space isomorphism, with an inverse equal to u∗; (ii) u is surjective and u∗u=1E; (iii) u is injective and uu∗=1F; (iv) u is an isomorphism of normed spaces; (v) u is a hilbertian space isomorphism.
Condition (1) means that we have u∗u=1E and uu∗=1F. 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=1E is equivalent to
1 See P. A. M. Dirac, Quantum Mechanics, Oxford University Press, New York, 1935.
⟨x∣u∗u(y)⟩=⟨x∣y⟩, that is, to ⟨u(x)∣u(y)⟩=⟨x∣y⟩ for all x,y in E, and evidently implies that u is injective; this proves the equivalence of (ii) and (v).
An automorphism of the hilbertian space E is also called a unitary operator, that is, an operator u∈L(E) satisfying uu∗=u∗u=1E.
2. Partially isometric linear mappings
Definition 2
Let E and F be two hilbertian spaces and u∈L(E;F). The orthogonal of the kernel of u in E is said to be the initial subspace of u and the closure of the image of u in F is called the final subspace of u. The orthoprojector from E (resp. F) onto the initial (resp. final) subspace of u is called the initial (resp. final) orthoprojector of u.
Let P be the initial subspace of u. Since E is the direct sum of P and of the kernel of u, we have u(P)=u(E).
Proposition 4
(i) *The initial (resp. final) subspace of u∗ is equal to the final (resp. initial) subspace of u.
(ii) Suppose that E=F. Let M be a closed vector subspace of E and M∘ its orthogonal. The relations u(M)⊂M and u∗(M∘)⊂M∘ are equivalent.
Let Q=u(E) be the final subspace of u. The orthogonal Q∘ of Q in F consists of all vectors y such that ⟨u(x)∣y⟩=0 for all x∈E; this is equivalent to : ⟨x∣u∗(y)⟩=0 for all x∈E, or to u∗(y)=0. Hence we have Q∘=Keru∗, and Q is the initial subspace of u∗. Since u is the adjoint of u∗, the final subspace of u∗ is also the initial subspace of u. This proves (i).
The relation u(M)⊂M implies that u(M) is orthogonal to M∘, and the relation u∗(M∘)⊂M∘ implies that u∗(M∘) is orthogonal to M. But we have ⟨u(x)∣y⟩=⟨u∗(y)∣x⟩ for all x∈M and y∈M∘; 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 E and F be two hilbertian spaces. A mapping u∈L(E;F) is* said to be partially isometric if ∥u(x)∥=∥x∥ for all x belonging to the initial subspace of u.
Let u∈L(E;F) and let N be its kernel and I its image. To say that u is partially isometric is the same as saying that the linear mapping u~:E/N→I deduced from u is isometric (V, p. 13). Then the subspace I of F is complete, hence closed, and is the final subspace of u. Consequently, u induces a hilbertian space isomorphism from the initial subspace of u onto its final subspace.
Proposition 5
Let u∈L(E;F), let P be its initial subspace and Q be the final subspace. Let p (resp. q) denote the initial (resp. final) orthoprojector of u. Assume that u is partially isometric.
(i) The mapping u∗∈L(F;E) is partially isometric, with initial subspace Q and final subspace P. The isomorphism from P onto Q induced by u is then the inverse of the isomorphism from Q onto P induced by u∗.
(ii) We have u∗u=p and uu∗=q.
On account of prop. 4 (i), assertion (i) is a consequence of (ii).
We now prove (ii). Since P contains the image of u∗, the mapping u∗u maps E into P. Let x∈E and y∈P, then
⟨u∗u(x)∣y⟩=⟨u(x)∣u(y)⟩.
If x belongs to P, then ⟨u(x)∣u(y)⟩=⟨x∣y⟩ by the definition of a partially isometric mapping; if x belongs to the kernel N of u, then u(x)=0, hence ⟨u(x)∣u(y)⟩=0 and ⟨x∣y⟩=0 since N and P are orthogonal. Since E=P⊕N, we have ⟨u∗u(x)−x∣y⟩=0 in all the cases, and so u∗u is the orthoprojector p from E onto P. That uu∗=q follows by interchanging u and u∗ in the above.
Proposition 6
For every u∈L(E;F), the following conditions are equivalent :
(i) u is partially isometric ; (ii) u∗ is partially isometric ; (iii) u∗u is an orthoprojector ; (iv) uu∗ is an orthoprojector ; (v) *uu∗u=u;∗ (vi) *u∗uu∗=u∗.∗
By prop. 5, (i) is equivalent to (ii).
(i) ⇒ (v) : Suppose u is partially isometric. Then u∗u is the initial orthoprojector of u by prop. 5. Hence for every x∈E, u∗u(x)−x belongs to the kernel of u, that is, uu∗u(x)=u(x).
(v) ⇒ (iii) : Suppose that uu∗u=u and let p=u∗u; then p=p∗ and p2=p. Let M (resp. N) be the image (resp. the kernel) of p. For x∈M and y∈N, we have ⟨x∣y⟩=⟨p(x)∣y⟩=⟨x∣p∗(y)⟩=⟨x∣p(y)⟩=0. Since M and N are orthogonal, p is the orthoprojector from E onto M.
(iii) ⇒ (i) : Suppose p=u∗u is an orthoprojector with image M and kernel N.
For all x∈E, we have
∥u(x)∥2=⟨u∗u(x)∣x⟩=⟨p(x)∣x⟩. Hence
u(x)=0 for
x∈N and
∥u(x)∥=∥x∥ for
x∈M, and so
u is partially isometric with kernel
N and initial subspace
M.
We have proved the equivalence of (i), (iii) and (v). Replacing u by u∗, we can deduce the equivalence of (ii), (iv) and (vi). This proves prop. 6.
3. Normal endomorphisms
Definition 4
Let E be a hilbertian space and u∈L(E). We say that u is normal if it commutes with its adjoint u∗.
For example, every automorphism u of the hilbertian space E is normal since we have uu∗=u∗u=1E.
Proposition 7
For u∈L(E) to be normal, it is necessary and sufficient that ∥u(x)∥=∥u∗(x)∥ for all x∈E.
We define a hermitian form Φ on E by
Φ(x,y)=⟨uu∗(x)∣y⟩−⟨u∗u(x)∣y⟩. For
u to be normal, it is necessary and sufficient that
Φ=0. By the polarization formulas (V, p. 2), this is equivalent to
Φ(x,x)=0 for all
x∈E. The proposition now follows since
Φ(x,x)=∥u∗(x)∥2−∥u(x)∥2.
Proposition 8
Suppose that u∈L(E) is normal. Let N be the kernel of u and M the orthogonal of N in E; let m and n be two positive integers such that m+n≥1. Then N is the kernel of um(u∗)n and M is both the initial and the final subspace of um(u∗)n. In particular, M is both the initial and the final subspace of u and of u∗, and is stable under u and u∗.
Prop. 7 shows that u and u∗ have the same kernel N. By prop. 4, (ii) of V, p. 41, the subspace M of E is stable under u and u∗ since this is so for N=M∘, since M∩N={0}, the endomorphisms of M induced by u and u∗ are injective. Let v=um(u∗)n; the preceding argument shows that the restriction of v to M (resp. N) is injective (resp. null), hence N is the kernel of v. Consequently, M=N∘ is the initial subspace of v. By prop. 4, (i) of V, p. 41, the final subspace of v is equal to the initial subspace of v∗. But v∗=un(u∗)m and so the initial subspace of v∗ is equal to M by the preceding.
Corollary
Let λ∈K. The following subspaces of E are equal : a) the eigen subspace of u relative to λ; b) the eigen subspace of u∗ relative to λ;
c) the primary subspace of u relative to λ (in other words, by LIE, VII, § 1, No. 1, the set of all vectors x of E for which there exists an integer n⩾0 such that (u−λ.1E)n(x)=0); d) the primary subspace of u∗ relative to λ.
It is clear that w=u−λ.1E is a normal endomorphism of E, hence the endomorphisms w,w∗=u∗−λ.1E,wn and (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). We say that u is hermitian if u∗=u.
Let H(E) denote the set of all hermitian elements of L(E); this is a vector subspace of the vector space L(E)[R] over R which is deduced from L(E) by restricting the scalars.
To each u∈L(E), we associated (V, p. 16, cor. 2) a sesquilinear form Φu:(x,y)↦⟨x∣u(y)⟩ on E×E. We have
Φu∗(x,y)=Φu(y,x)(x,y in E);
consequently, u is hermitian if and only if the form Φu is hermitian. When K is C, it is enough to assume that Φu(x,x)=⟨x∣u(x)⟩ is real for all x∈E (V, p. 2, Remark).
Let u∈L(E). We have seen (V, p. 16, cor. 2) that the norm of u can be calculated by the formula
∥u∥=∥x∥⩽1,∥y∥⩽1sup∣Φu(x,y)∣.
When u is hermitian, we have the following result :
Proposition 9
For every hermitian endomorphism u of* E, *we have
∥u∥=∥x∥⩽1sup∣⟨x∣u(x)⟩∣.
Put Φ=Φu and c=sup∥x∥⩽1∣Φ(x,x)∣, then evidently c⩽∥u∥. Let x,y be in E such that ∥x∥⩽1,∥y∥⩽1. Then
Φ(x+y,x+y)=Φ(x,x)+Φ(y,y)+2ℜΦ(x,y), hence
4ℜΦ(x,y)=Φ(x+y,x+y)−Φ(x−y,x−y); but
∣Φ(t,t)∣⩽c∥t∥2 for all
t∈E, thus
4∣ℜΦ(x,y)∣⩽c(∥x+y∥2+∥x−y∥2)=2c(∥x∥2+∥y∥2)⩽4c. Let
a=Φ(x,y); there exists a complex number
λ with absolute value 1 such that
λa = |a|. Replacing y by λy in the preceding inequality, we get ∣Φ(x,y)∣≤c. By (15), ∥u∥≤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). Then there exists a unique pair (h1,h2) of hermitian endomorphisms of E, such that u=h1+ih2. In order that u is normal, it is necessary and sufficient that h1 and h2 commute.
For, the relation « u=h1+ih2, h1∗=h1, h2∗=h2 » is equivalent to
« h1=21(u+u∗) and h2=2i(u∗−u) ».
In addition, we have h1h2−h2h1=2i(uu∗−u∗u). This proves prop. 10.
Proposition 11
— Let p∈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∗.
Suppose p2=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 for all x, y in E. This latter relation is equivalent to p=p∗p, and implies that p∗=(p∗p)∗=p∗p=p; conversely if p∗=p, we have p=p2=p∗p.
5. Positive endomorphisms
Definition 6
— Let E be a hilbertian space and u∈L(E). We say that u is positive, and write u≥0, if u is hermitian and if ⟨x∣u(x)⟩≥0 for all x∈E.
When K is equal to C, the relation
⟨x∣u(x)⟩≥0for all x∈E
implies that u is hermitian (V, p. 2, Remark), hence positive.
Let L+(E) denote the set of all positive elements of L(E); this is a proper pointed convex cone in the real vector space L(E)[R] underlying L(E). In order that u is positive, it is necessary and sufficient that the sesquilinear form Φu on E×E associated with u is positive hermitian. Given u and v in L(E), the relation u−v≥0 can also be written as u≥v or v≤u; this is an order relation on L(E)[R] compatible with its real vector space structure.
Proposition 12
— Let u be a hermitian (resp. positive) element of L(E) and let v be a continuous linear mapping from E into a hilbertian space F. Then vuv∗ is a hermitian (resp. positive) element of L(F).
For, we have (vuv∗)∗=v∗∗u∗v∗=vuv∗. On the other hand, if u≥0, we have
⟨y∣vuv∗(y)⟩=⟨v∗(y)∣u(v∗(y))⟩≥0
for all y∈F, hence vuv∗≥0.
Prop. 12 shows, in particular, that vv∗ is positive for all v∈L(E;F). Since, in particular, an orthoprojector p satisfies p=p2=pp∗, it is positive.
Proposition 13
— *Let H(E) be the set of all continuous hermitian endomorphisms of the hilbertian space E. Let F be a non-empty, directed increasing and bounded subset of H(E).
(i) The set F has an upper bound u0 in H(E); we have
⟨x∣u0(x)⟩=u∈Fsup⟨x∣u(x)⟩for allx∈E.
(ii) The filter of sections of F converges to u0 in the space L(E) endowed with the topology of simple convergence.
Let Σ be the filter of sections of F; for every u∈H(E), let Φu be the continuous hermitian form on E defined by
Φu(x,y)=⟨x∣u(y)⟩. Let
Ψu(x)=Φu(x,x) for
u∈H(E) and
x∈E. By the polarization formulas (V, p. 2), we have
(19)4Φu(x,y)(20)4Φu(x,y)=Ψu(x+y)−Ψu(x−y)=Ψu(x+y)−Ψu(x−y)−iΨu(x+iy)+iΨu(x−iy)if K=Rif K=C.
For every x∈E, the mapping u↦Ψu(x) from into R is increasing and bounded, hence has a limit with respect to Σ. By the preceding formulas, the limit
u,ΣlimΦu(x,y)=Φ(x,y) exists for every pair
(x,y) of elements of
E. It is clear that
Φ is a hermitian form on
E. If
v1∈F and
v2 is a bound of
F, the hermitian forms
f1=Φ−Φv1 and
f2=Φv2−Φ are positive; there exists a real number
M≥0 such that
f1(x,x)+f2(x,x)=Φv2−v1(x,x)≤M∥x∥2, hence
f1(x,x)≤M∥x∥2,f2(x,x)≤M∥x∥2(x∈E); consequently the semi-norms
x↦fi(x,x)1/2 are continuous on
E. Since
f2−f1=Φv2+Φv1−2Φ, we conclude that
x↦Φ(x,x) is a continuous function on
E, and by formulas (19) and (20), that
Φ is continuous on
E×E. Therefore there exists (V, p. 16, cor. 2) an element
u0 of
H(E) such that
Φ=Φu0. Formula (18) is evidently satisfied, hence
u0 is the upper bound of
F in
H(E). This proves (i).
We have, by construction
u,Σlim⟨x∣(u0−u)(x)⟩=0for all x∈E. Let
v1∈F; given a
u∈F such that
u≥v1, let
v=u0−u. If we apply the Cauchy-Schwarz inequality to the positive hermitian form
Φv on
E, 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)⟩, since
∥v∥≤∥u0−v1∥ by V, p. 44, prop. 9. Then by (21) we get
limu,Σ∥(u0−u)(x)∥=0 for all
x∈E; which proves assertion (ii).
In particular, prop. 13 can be applied to the case of an increasing and bounded sequence (un)n∈N of elements of H(E). Then there exists an element v of H(E) characterized by
⟨x∣v(x)⟩=n→∞lim⟨x∣un(x)⟩=n∈Nsup⟨x∣un(x)⟩(x∈E), and we have
v(x)=limn→∞un(x) for all
x∈E. Moreover,
v is the upper bound of the set of the
un in
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∗, for a in E and b in F, denote the continuous linear mapping x↦b⟨a∣x⟩ from E into F.
Lemma 1
There exists an isomorphism θ from the vector space F⊗E′ onto the space Lf(E;F) of all finite rank continuous linear mappings from E into F, characterized by θ(b⊗a∗)=ba∗ for a∈E,b∈F.
By A, II, § 4, No. 2, there exists an injective linear mapping θ from F⊗E′ into L(E;F) and only one such, which transforms b⊗a′ into the linear mapping x↦ba′(x) for a′∈E′,b∈F. Evidently θ(b⊗a∗)=ba∗, and the image of θ is contained in Lf(E;F). However, let u∈Lf(E;F) and let (e1,...,en) be an orthonormal basis of the image of u in F. Let fi=u∗(ei) for 1≤i≤n. For every x∈E, we have
u(x)=i=1∑n⟨ei∣u(x)⟩⋅ei=i=1∑n⟨fi∣x⟩⋅ei,
hence u=∑i=1neifi∗=θ(∑i=1nei⊗fi∗). Therefore the image of θ is equal to Lf(E;F).
We shall henceforth assume that E=F, and we set Lf(E)=Lf(E;E). By lemma 1, there exists a unique linear form τ on Lf(E), such that τ(θ(a⊗a′))=a′(a) for a∈E,a′∈E′; in other words, we have
(22)
τ(ba∗)=⟨a∣b⟩for a,b in E.
When E is finite dimensional, we have Lf(E)=L(E) and τ(u) is the trace of the endomorphism u of E (A, II, § 4, No. 3).
Lemma 2
Let (ei)i∈I be an orthonormal basis of E. Then
τ(u)=i∈I∑⟨ei∣u(ei)⟩
for all u∈Lf(E).
It is enough to consider the case when u=ba∗ with a,b in E. Then
⟨ei∣u(ei)⟩=ei∗b⋅a∗ei=⟨ei∣a⟩⟨ei∣b⟩
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 the set of all finite rank orthoprojectors on E. Then for every orthonormal basis (ei)i∈I of E, we have (in R+) the equality
i∈I∑⟨ei∣u(ei)⟩=p∈Fsupτ(pup).
For every finite subset J of I, put pJ=∑i∈Jeiei∗; this is the orthoprojector from E onto the vector subspace generated by the vectors ei, where i ranges over J. We have
pJupJ=i∈J,j∈J∑⟨ei∣u(ej)⟩eiej∗, hence
τ(pJupJ)=∑i∈J⟨ei∣u(ei)⟩. Since
pJ∈F,
i∈J∑⟨ei∣u(ei)⟩≤p∈Fsupτ(pup); and so we conclude that
i∈I∑⟨ei∣u(ei)⟩=Jsupi∈J∑⟨ei∣u(ei)⟩≤p∈Fsupτ(pup).
Let v be a finite rank continuous and positive endomorphism of E and let p∈F. By th. 2 of V, p. 23 there exists an orthonormal basis (fα)α∈A of E and a finite subset B of A such that (fα)α∈B is an orthonormal basis of the image of p. Then we have p=∑α∈Bfαfα∗, and so, as above, the relation τ(pvp)=∑α∈B⟨fα∣v(fα)⟩. By lemma 2 (V, p. 48) we have τ(v)=∑α∈A⟨fα∣v(fα)⟩, which gives the formula
α∈B∑⟨fα∣v(fα)⟩≤τ(v). Applying this inequality to the case where
v=pJ.upJ and where J is a finite subset of I, we get
α∈B∑⟨pJ(fα)∣upJ(fα)⟩≤i∈J∑⟨ei∣u(ei)⟩. For every
x∈E, we have
pJ(x)=∑i∈J⟨ei∣x⟩ei, and so
x=limJpJ(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)⟩, 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)=p∈Fsupτ(pup) *(upper bound in
R+), where
F is the set of all finite rank orthoprojectors on E. We say that
Tr(u) is the trace of u.
Let p be the orthoprojector from E onto a finite dimensional vector subspace of E, and let (x1,...,xm) be an orthonormal basis of F. We have established the relation
τ(pup)=i=1∑m⟨xi∣u(xi)⟩. Consequently, we can define the trace by the formula Tr(u)=x1,...,xmsupi=1∑m⟨xi∣u(xi)⟩, where (x1,...,xm) ranges over the set of all finite orthonormal sequences of vectors of E.
By lemma 3 (V, p. 48), we have
Tr(u)=i∈I∑⟨ei∣u(ei)⟩ for every orthonormal basis (ei)i∈I of E. From this, we deduce Tr(u+v)=Tr(u)+Tr(v) Tr(λu)=λ⋅Tr(u) for all continuous and positive endomorphisms u and v of E and for every real number λ≥0 (we make the convention 0.(+∞)=0 in (27)). Let ϕ be an isomorphism from E onto a hilbertian space F; since ϕ transforms every orthonormal basis of E into an orthonormal basis of F, we get from (25) that Tr(ϕuϕ−1)=Tr(u).
Let (uα)α∈A be a non-empty directed increasing and bounded family of continuous and positive endomorphisms of E; let u=supαuα, then ⟨x∣u(x)⟩=supα⟨x∣uα(x)⟩ for all x∈E (V, p. 46, prop. 13). We have Tr(u)=supJ⊂I∑i∈J⟨ei∣u(ei)⟩, where J ranges over all finite subsets of I, hence
Tr(u)=αsupTr(uα)foru=αsupuα.
Let pF be the orthoprojector from E onto the hilbertian subspace F; there exists an orthonormal basis (ei)i∈I of E and a subset J of I, such that (ei)i∈J is an orthonormal basis of F. We have Tr(pFupF)=∑i∈J⟨ei∣u(ei)⟩. This formula has two consequences : firstly, we have Tr(pFupF)≤Tr(u); secondly, taking u=1E, we get
Tr(pF)={dimF+∞if F is finite dimensionalif not.
Definition 8
— Let E be a complex hilbertian space. We write L1(E) for the vector subspace of 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), again denoted by Tr, and satisfying the relation Tr(u)=∑i∈I⟨ei∣u(ei)⟩ for all u in L1(E) and for every orthonormal basis (ei)i∈I of E. For every u∈L1(E), we have u∗∈L1(E) and Tr(u∗)=Tr(u). Formula (28) of V, p. 50 extends to the case where u belongs to L1(E). Let F be a hilbertian subspace of E; by formula (30), the orthoprojector pF belongs to L1(E) if and only if F is finite dimensional. For every a and b in E, we have 4ab∗=∑ε4=1ε(a+εb)(a+εb)∗ and cc∗ is a positive operator with finite trace for all c∈E; consequently, if u is a finite rank, continuous endomorphism of E, then u∈L1(E) and Tr(u)=τ(u).
Let E be a real hilbertian space, and let E(c) be its complexification (V, p. 5). We identify E with a subset of E(c). Then L(E) can be identified with a real vector subspace of L(E(c)) consisting of all continuous linear mappings u from E(c) into E(c) such that u(E)⊂E. In this case we write L1(E)=L(E)∩L1(E(c)). For every u∈L1(E), the trace Tr(u) is real and is equal to Tr(u∗). Formulas (25) and (28) are again valid, Lf(E)⊂L1(E) and Tr(u)=τ(u) for all u∈Lf(E). Finally, a closed vector subspace F of E is finite dimensional if and only if pF belongs to L1(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) consists of all nuclear mappings from E into E, then E is a real or complex hilbertian space. \*
Proposition 14
— Let E1,...,En be hilbertian spaces, E=E1⊗^2...⊗^2En, and ui a continuous endomorphism of Ei for 1≤i≤n. If u1,...,un are positive, then so is u=u1⊗^2...⊗^2un, and
Tr(u)=i=1∏nTr(ui).
If ui∈L1(Ei) for all 1≤i≤n, then u∈L1(E) and formula (31) is again valid in this case.
Proceeding by induction on n, we immediately reduce to the case n=2.
For i=1,2, we define a sesquilinear form Φi on Ei by the formula Φi(x,y)=⟨x∣ui(y)⟩ for x,y in Ei. If u1 and u2 are positive, the forms Φ1 and Φ2 are hermitian and positive. By prop. 1 of V, p. 25 there exists a positive hermitian form Φ on the vector space E1⊗E2 such that
Φ(x1⊗x2,y1⊗y2)=Φ1(x1,y1)⋅Φ2(x2,y2)
for x1,y1 in E1 and x2,y2 in E2. We verify immediately the relation Φ(z,t)=⟨z∣u(t)⟩ for z and t in E1⊗E2. Since Φ is positive, we have ⟨z∣u(z)⟩≥0 for all z in E1⊗E2. Since u is continuous and E1⊗E2 is dense in the hilbertian space E=E1⊗^2E2, we conclude that u is a continuous and positive endomorphism of E.
Let (ei)i∈I be an orthonormal basis of E1 and (fj)j∈J an orthonormal basis of E2; then the family (ei⊗fj)i∈I,j∈J is an orthonormal basis of E 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).
In particular, if u1 and u2 are positive endomorphisms with finite trace, then so is u. By linearity, we deduce that u belongs to L1(E) when K=C and that the ui belong to L1(Ei) for i=1,2; formula (31) extends to this case by linearity. Finally, the case when K=R and the ui∈L1(Ei) reduces to the complex case by extension of the scalars.
7. Hilbert-Schmidt mappings
Definition 9
Let E and F be two hilbertian spaces. A continuous linear mapping u from E into F is called a Hilbert-Schmidt mapping if the trace of the positive endomorphism u∗u of E is finite. The set of all Hilbert-Schmidt mappings from E into F is denoted by L2(E,F).
When E=F, we write L2(E) for L2(E;E).
For every u∈L(E,F), let ∥u∥2=Tr(u∗u)1/2, so that u belongs to L2(E;F) if and only if ∥u∥2 is finite. By the definition of the trace, we get
∥u∥22=x1,…,xmsupi=1∑m∥u(xi)∥2
where (x1,…,xm) range over the set of finite orthonormal sequences in E. In particular, taking m=1 in formula (32), we have
∥u∥≤∥u∥2(u∈L(E;F)).
Let (ei)i∈I be an orthonormal basis of E and (fj)j∈J an orthonormal basis of F. 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.
Since ∣⟨fj∣u(ei)⟩∣=∣⟨ei∣u∗(fj)⟩∣, formula (34) implies that
∥u∗∥2=∥u∥; hence, the adjoint of a Hilbert-Schmidt mapping is a Hilbert-Schmidt mapping. Let E1,F1 be hilbertian spaces and v:E1→E,w:F→F1 continuous linear mappings. From (32), we deduce immediately that ∥wu∥2≤∥w∥.∥u∥2. By (35), (36) and the relation uv=(v∗u∗)∗, we get ∥uv∥2≤∥u∥2∥v∥. In particular, if u belongs to L2(E,F) then wuv belongs to L2(E1,F1).
Theorem 1
Let E and F be two hilbertian spaces.* (i) The set L2(E,F) is a vector subspace of L(E;F) and u↦∥u∥2 is a hilbertian norm (V, p. 6) on L2(E;F). (ii) *The isomorphism θ from F⊗E′ onto Lf(E;F) characterized by θ(y⊗x∗)=yx∗ extends to an isomorphism θ^ from F⊗2E′ onto L2(E;F). In particular, Lf(E;F) is dense in L2(E;F).
Let (ei)i∈I (resp. (fj)j∈J) be an orthonormal basis of E (resp. F). For every u∈L(E;F), let Λ(u) be the matrix of u with respect to chosen orthonormal bases for E and F (V, p. 22). Let ∥a∥2 denote the norm of an element a of the hilbertian space ℓ2(J×I). By formula (34), Λ is a mapping from L2(E;F) into ℓ2(J×I) such that ∥Λ(u)∥2=∥u∥; it is clear that Λ is injective. To prove (i), it is enough to prove that Λ is surjective. Let a=(aji) be an element of ℓ2(J×I); by Cauchy-Schwarz inequality, we have
∣j,i∑ηjajiξi∣2≤j,i∑∣aji∣2j,i∑∣ηjξi∣2=∥a∥22∥ξ∥2∥η∥2 for every
ξ=(ξi) in
ℓ2(I) and
η=(ηj) in
ℓ2(J). Then there exists a continuous sesquilinear form
Φ on
F×E such that
Φ(y,x)=∑j,iηjajiξi for
x=∑iξiei in
E and
y=∑jηjfj in
F. Let
u∈L(E;F) be such that
Φ(y,x)=⟨y∣u(x)⟩ (V, p. 16, cor. 2). We get
aji=Φ(fj,ei)=⟨fj∣u(ei)⟩fori∈I,j∈J, hence
a=Λ(u).
Since Λ is a hilbertian space isomorphism from L2(E;F) onto ℓ2(J×I) and since (fj⊗ei∗) is an orthonormal basis of F⊗2E′, there exists an isomorphism θ^ from F⊗2E′ onto L2(E;F) such that
⟨fj∣θ^(t)ei⟩=⟨fj⊗ei∗∣t⟩
for every i∈I, j∈I and t∈F⊗2E′. In particular, for t=y⊗x∗, we find
⟨fj∣θ^(y⊗x∗)ei⟩=⟨fj⊗ei∗∣y⊗x∗⟩=⟨fj∣y⟩⟨x∣ei⟩=⟨fj∣yx∗ei⟩ hence
θ^(y⊗x∗)=yx∗. 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 u from ℓ2(I) into ℓ2(J) be a Hilbert-Schmidt mapping, it is necessary and sufficient that there exists a matrix (aji) in ℓ2(J×I) such that u(ξ)j=∑i∈Iajiξi for all ξ=(ξi) in ℓ2(I).
Example 2
\* Let X and Y be two Hausdorff topological spaces, endowed respectively with positive measures μ and ν. We can show that the Hilbert-Schmidt mappings from L2(X) into L2(Y) correspond bijectively to classes of square integrable functions on Y×X; to the class of a function N∈L2(Y×X,ν⊗μ) corresponds the mapping uN given by
(uNf)(y)=∫XN(y,x)f(x)dμ(x) for
ν-almost all
y∈Y and
f∈L2(X,μ). We have
∥uN∥22=∫X∫Y∣N(y,x)∣2dμ(x)dν(y).
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 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)∥2 for all x∈B. Finally let P denote the set of all vectors x in E satisfying the following property ;
(H) For every y∈E orthogonal to x, the element u(y) of E is orthogonal to u(x).
Lemma 4
The function Q:B→R is continuous.
Let (fj)j∈J be an orthonormal basis of F. Put λj=∥u∗(fj)∥2 for all j∈J. Since u belongs to L2(E;F) we have u∗∈L2(F;E), hence ∑jλj<+∞. Further, we have
Q(x)=∥u(x)∥2=j∑∣⟨u∗(fj)∣x⟩∣2 by Parseval’s formula (V, p. 22) and the definition of the adjoint (V, p. 38). For every
x∈B,
∣⟨u∗(fj)∣x⟩∣2≤λj 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 E1 be a closed vector subspace of E, stable under u∗u. If E1={0}, then there exists a vector of norm 1 in E1∩P.
Since B is weakly compact, so is the weakly closed subspace B∩E1 of B. Hence there exists (GT, IV, § 6, No. 1, th. 1) a point x0 in B∩E1 such that Q(x0)≥Q(x) for all x∈B∩E1. If Q(x0)=0, we have Q(x)=0 and so u(x)=0 for all x∈B∩E1. Thus E1⊂P and lemma 5 follows in this case.
Suppose now that Q(x0)>0, then x0=0. Since the vector ∥x0∥−1⋅x0 belongs to B∩E1, we have
Q(x0)≥Q(∥x0∥−1⋅x0)=Q(x0)/∥x0∥2 i.e. ∥x0∥=1. We shall prove that
x0 belongs to P; let
y∈E be orthogonal to
x0. It is enough to prove that
u(y) is orthogonal to
u(x0). But since
y is the sum of a vector of
E1 and a vector orthogonal to
E1, and both orthogonal to
x0 (since
x0∈E1), it is enough to consider the following two cases :
a) y is orthogonal to E1: since E1 is stable under u∗u, u∗u(x0)∈E1, hence 0=⟨y∣u∗u(x0)⟩=⟨u(y)∣u(x0)⟩.
b) y belongs to E1: for all t∈R, the vector x(t)=(x0+ty)/∥x0+ty∥ belongs to B∩E1. We have 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. In view of the definition of
x0, we have
Q(x(0))≥Q(x(t)) for all real
t, hence
dtdQ(x(t)) is zero for
t=0. But
f(0)=∥u(x0)∥2,
g(0)=1,
f′(0)=2ℜ⟨u(x0)∣u(y)⟩,
g′(0)=0. Since
dtdQ(x(t))=g(t)2f′(t)g(t)−f(t)g′(t), we conclude that
f′(0)=0, that is,
ℜ⟨u(x0)∣u(y)⟩=0. When
K=R,
u(x0) is orthogonal to
u(y), when
K=C, the vector
iy belongs to
E1 and is orthogonal to
x0, hence
I⟨u(x0)∣u(y)⟩=−ℜ⟨u(x0)∣u(iy)⟩=0, and finally
u(x0) is orthogonal to
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 S which is maximal among the orthonormal subsets of E contained in P. Let E1 be the set of all vectors orthogonal to S. Let y∈E1; if x∈S, the vectors x and y are orthogonal, and since S⊂P, we conclude that u(x) and u(y) are orthogonal; then
⟨x∣u∗u(y)⟩=⟨u(x)∣u(y)⟩=0 and
u∗u(y) is orthogonal to
S. Hence
E1 is stable under
u∗u. If we had
E1={0}, there would exist a vector
x of norm 1 in
E1∩P (lemma 5) and
S∪{x} would be an orthonormal subset of
E contained in
P. This would contradict the maximal character of
S. Hence
E1={0} and
S is an orthonormal basis of
E. Q.E.D.
Corollary 1
— *Let v be a continuous, positive endomorphism with finite trace of the hilbertian space E. There exists an orthonormal basis (ei)i∈I of E and a summable family of positive real numbers (λi)i∈I such that v(ei)=λiei for all i∈I.
Let Φ(x,y)=⟨x∣v(y)⟩ for x,y in E. Then Φ is a positive hermitian form on E. There exists (V, p. 8, corollary) a hilbertian space F and a continuous linear mapping u from E into F such that Φ(x,y)=⟨u(x)∣u(y)⟩ for x,y in E. In other words, we have v=u∗u. By virtue of def. 9 (V, p. 52), u is a Hilbert-Schmidt mapping from E into F. By th. 2, there exists an orthonormal basis (ei)i∈I of E such that the vectors u(ei) are two by two orthogonal. Let i∈I; for every j=i in I, we have
⟨ej∣v(ei)⟩=⟨u(ej)∣u(ei)⟩=0
hence v(ei) is proportional to ei and is of the form λiei, where λi=⟨ei∣v(ei)⟩; then
λi⩾0andi∈I∑λi=Tr(v)<+∞.
Corollary 2
Let E be a hilbertian space. Then L1(E)⊂L2(E).
The real case reduces to the complex case by the extension of scalars; we can therefore assume that K=C.
Since L2(E) is a vector subspace of L(E), it is enough to prove that every continuous and positive endomorphism v of E with finite trace belongs to L2(E). With the notations of cor. 1, we have
i∈I∑∥v(ei)∥2=i∈I∑λi2≤(i∑λi)2<+∞.
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=w2 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 into the vector ∑iλi1/2ξiei.
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 and (x,y)↦⟨x∣y⟩H on E×E, characterized by
Q(x)=⟨x∣x⟩Q,H(x)=⟨x∣x⟩H
for all x∈E.
We call the trace of Q with respect to H, and write Tr(Q/H), a real positive number, finite or not, defined as follows :
a) If there exists x∈E with H(x)=0 and Q(x)=0, we put Tr(Q/H)=+∞.
b) Otherwise, Tr(Q/H) is the upper bound of the set of all numbers of the form ∑i=1mQ(xi) where (x1,...,xm) range over the set of finite sequences of elements of E such that ⟨xi∣xj⟩H=δij (Kronecker’s symbol).
Proposition 15
Suppose that there exists a real hilbertian space structure on E such that H(x)=∥x∥2 for all x∈E. For Tr(Q/H) to be finite, it is necessary and sufficient that there exists a continuous and positive endomorphism u of E with finite trace, such that Q(x)=⟨x∣u(x)⟩ for all x∈E; this endomorphism u is unique, and we have
Tr(u)=Tr(Q/H)=i∈I∑Q(ei)
for every orthonormal bases (ei)i∈I of E.
Suppose that Tr(Q/H) is finite. For every x∈E of norm 1, we have H(x)=1, hence Q(x)≤Tr(Q/H). Therefore, Q(x)≤Tr(Q/H)⋅∥x∥2 for all x∈E, and
∣⟨x∣y⟩Q∣≤Q(x)1/2Q(y)1/2≤Tr(Q/H)⋅∥x∥⋅∥y∥
by the Cauchy-Schwarz inequality. Consequently, the bilinear form (x,y)↦⟨x∣y⟩Q on E×E is continuous. There exists (V, p. 16, cor. 2) a mapping u∈L(E) such that ⟨x∣y⟩Q=⟨x∣u(y)⟩. We have ⟨x∣y⟩Q=⟨y∣x⟩Q for x,y in E, hence u is hermitian; and ⟨x∣u(x)⟩=Q(x)≥0, hence u is positive.
Conversely, let u be a continuous and positive endomorphism of E such that Q(x)=⟨x∣u(x)⟩ for all x∈E. Then
⟨x∣u(y)⟩=21(Q(x+y)−Q(x)−Q(y))=⟨x∣y⟩Q,
which gives the uniqueness of u. By formula (24') (V, p. 50), we get
Tr(u)=x1,…,xmsupi=1∑m⟨xi∣u(xi)⟩=x1,…,xmsupi=1∑mQ(xi),
where (x1,…,xm) range over the set of all finite orthonormal sequences of elements of E. By the definition of Tr(Q/H), we get Tr(u)=Tr(Q/H). Finally, for every orthonormal basis (ei)i∈I of E, we have Tr(u)=∑i∈I⟨ei∣u(ei)⟩ by formula (25) of V, p. 50, hence Tr(u)=∑i∈IQ(ei).
Exercises
See the exercises for § 4.