This paper investigates ergodic theorems for averages of operators in Banach ideals of compact operators on infinite-dimensional Hilbert spaces, establishing conditions for uniform and strong convergence of these averages.
Contribution
It proves uniform convergence of averages for positive Dunford-Schwartz operators on Banach ideals generated by fully symmetric sequence spaces, and characterizes when strong convergence occurs.
Findings
01
Uniform convergence of averages in Banach ideals for positive Dunford-Schwartz operators.
02
Existence of non-converging averages outside compact operators.
03
Strong convergence characterized by separability and non-$l^1$ structure of the sequence space.
Abstract
Let H be an infinite-dimensional Hilbert space, and let B(H) (K(H)) be the C∗-algebra of bounded (respectively, compact) linear operators in H. Let (E,∥⋅∥E) be a fully symmetric sequence space. If {sn(x)}n=1∞ are the singular values of x∈K(H), let CE={x∈K(H):{sn(x)}∈E} with ∥x∥CE=∥{sn(x)}∥E, x∈CE, be the Banach ideal of compact operators generated by E. We show that the averages An(T)(x)=n+11k=0∑nTk(x) converge uniformly in CE for any positive Dunford-Schwartz operator T and x∈CE. Besides, if x∈B(H)∖K(H), there exists a Dunford-Schwartz operator T such that the sequence {An(T)(x)} does not…
φ(m)=χ{mn0}+k=0∑∞(χ{mnk+1,mnk+2,...,mnk+1−1}(m)−χ{mnk+1}(m)) if m∈G;
φ(m)=χ{mn0}+k=0∑∞(χ{mnk+1,mnk+2,...,mnk+1−1}(m)−χ{mnk+1}(m)) if m∈G;
φ(m)=0 if m∈/G.
φ(m)=0 if m∈/G.
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Let H be an infinite-dimensional Hilbert space, and let B(H) (K(H)) be the C∗-algebra of bounded (respectively, compact) linear operators in H. Let (E,∥⋅∥E) be a fully symmetric sequence space. If {sn(x)}n=1∞ are the singular values of x∈K(H), let CE={x∈K(H):{sn(x)}∈E} with ∥x∥CE=∥{sn(x)}∥E, x∈CE, be the Banach ideal of compact operators generated by E. We show that the averages An(T)(x)=n+11k=0∑nTk(x) converge uniformly in CE for any Dunford-Schwartz operator T and x∈CE. Besides, if x∈B(H)∖K(H), there exists a Dunford-Schwartz operator T such that the sequence {An(T)(x)} does not converge uniformly. We also show that the averages An(T) converge strongly in (CE,∥⋅∥CE) if and only if E is separable and E=l1, as sets.
Key words and phrases:
Symmetric sequence space, Banach ideal of compact operators, Dunford-Schwartz operator, individual ergodic theorem, mean ergodic theorem
2010 Mathematics Subject Classification:
46E30, 37A30, 47A35
1. Introduction
Let B(H) be the algebra of bounded linear operators in a Hilbert space H, equipped the uniform norm ∥⋅∥∞. The study of noncommutative individual ergodic theorems in the space of measurable operators affiliated with a semifinite von Neumann algebra
M⊂B(H) equipped with a faithful normal semifinite trace τ was initiated by F. Yeadon. In [23], as a corollary of a noncommutative maximal ergodic inequality in L1=L1(M,τ), the following individual ergodic theorem was established.
Theorem 1.1**.**
Let T:L1→L1 be a positive L1−L∞-contraction. Then for any x∈L1 there exists x∈L1 such that the averages
[TABLE]
converge to x bilaterally almost uniformly (in Egorov’s sense), that is, given ε>0, there exists a projection e∈M such that τ(1−e)<ε and
[TABLE]
where 1 is the unit of M.
The study of individual ergodic theorems beyond L1(M,τ) started much later with another fundamental paper by M. Junge and Q. Xu [14], where, among other results, individual ergodic theorem was extended to the case with a positive Dunford-Schwartz operator acting in the space Lp(M,τ), 1<p<∞. In [4] ([5]), utilizing the approach of [17], an individual ergodic theorem was proved for a positive Dunford-Schwartz operator in a noncommutative Lorentz (respectively, Orlicz) space.
Let H be an infinite-dimensional Hilbert space. Let E⊂c0 be a fully symmetric sequence space. Denote by CE the Banach ideal of compact operators in H associated with E. In Section 3 of the article, we obtain the following individual Dunford-Schwartz-type ergodic theorem.
Theorem 1.2**.**
(i)
Given a Dunford-Schwartz operator T:CE→CE and x∈CE, there exists x∈CE such that
∥An(T)(x)−x∥∞→0 as n→∞;
2. (ii)
if x∈B(H)∖K(H), then there exists a Dunford-Schwartz operator T:B(H)→B(H) such that the averages An(T)(x) do not converge uniformly.
Noncommutative mean ergodic theorem can be stated as follows: if T is an L1−L∞-contraction and 1<p<∞, then the averages An(T) converge strongly in Lp=Lp(M,τ), that is, given x∈Lp, there exists x∈Lp such that ∥An(T)(x)−x∥p→0 as n→∞. If p=1 and τ(1)=∞, this is not true in general. As a consequence, if τ(1)=∞, mean ergodic theorem may not hold in some noncommutative symmetric spaces.
In Yeadon’s paper [24], the following mean ergodic theorem was established.
Theorem 1.3**.**
Let E=(E(M,τ),∥⋅∥E) be a noncommutative fully symmetric space such that
(i)
L1(M,τ)∩M* is dense in E;*
2. (ii)
∥en∥E→0* for any sequence of projections {en}⊂L1(M,τ)∩M with en↓0;*
3. (iii)
∥en∥E/τ(en)→0* for any increasing sequence of projections {en}⊂M, *
0<τ(en)<∞, with
τ(en)→∞.
Then for any x∈E and a positive L1−L∞-contraction T:E→E there exists x∈E such that
∥An(T)(x)−x∥E→0.
In [4], a mean ergodic theorem was established for a noncommutative symmetric space E(M,τ) associated with a fully symmetric function space with nontrivial Boyd indices and order continuous norm.
In Section 4, we give the following criterion for the validity of the mean ergodic theorem in a Banach ideal of compact operators in H.
Theorem 1.4**.**
The following conditions are equivalent:
(i)
For any Dunford-Schwartz operator T:CE→CE the averages An(T) converge strongly in CE;
2. (ii)
(E,∥⋅∥E)* is separable and E=l1, as sets.*
Commutative counterparts of Theorems 1.2 and 1.4 were established in [3].
In the last section of the article, we present applications of Theorems 1.2 and 1.4 to the well-studied Orlicz, Lorentz, and Marcinkiewicz ideals of compact operators.
2. Preliminaries
Let l∞ (respectively, c0) be the Banach lattice of bounded (respectively, converging to zero) sequences {ξn}n=1∞ of complex numbers equipped with the norm ∥{ξn}∥∞=n∈Nsup∣ξn∣, where N is the set of natural numbers. If 2N is the σ-algebra of subsets of N and
μ({n})=1 for each n∈N, then (N,2N,μ) is a σ-finite measure space such that L∞(N,2N,μ)=l∞ and
[TABLE]
where C is the set of complex numbers.
If ξ={ξn}n=1∞∈l∞, then the non-increasing rearrangementξ∗:(0,∞)→(0,∞) of ξ is defined by
[TABLE]
(see, for example, [2, Ch. 2, Definition 1.5]). As such, the non-increasing rearrangement of
a sequence {ξn}n=1∞∈l∞ can be identified with the sequence ξ∗={ξn∗}n=1∞, where
[TABLE]
If {ξn}∈c0, then ξn∗↓0; in this case there exists a bijection π:N→N such that ∣ξπ(n)∣=ξn∗, n∈N.
Hardy-Littlewood-Polya partial order in the space l∞ is defined as follows:
[TABLE]
A non-zero linear subspace E⊂l∞ with a Banach norm ∥⋅∥E is called a symmetric (fully symmetric) sequence space if
[TABLE]
Every fully symmetric sequence space is a symmetric sequence space. The converse is not true in general. At the same time, any separable symmetric sequence space is a fully symmetric space.
If (E,∥⋅∥E) is a symmetric sequence space, then
[TABLE]
Besides, if Eh={{ξn}n=1∞∈E:ξn∈R for each n}, where R is the set of real numbers, then (Eh,∥⋅∥E) is a Banach lattice with respect to the natural partial order
[TABLE]
Immediate examples of fully symmetric sequence spaces are (l∞,∥⋅∥∞) and (c0,∥⋅∥∞) and the Banach lattices
[TABLE]
For any symmetric sequence space (E,∥⋅∥E) the following continuous embeddings hold [2, Ch. 2, § 6, Theorem 6.6]:
[TABLE]
Besides, ∥ξ∥E≤∥ξ∥1 for all ξ∈l1 and ∥ξ∥∞≤∥ξ∥E for all ξ∈E.
If there is ξ∈E∖c0, then ξ∗≥α1 for some α>0, where 1={1,1,...}. Consequently, 1∈E and E=l∞. Therefore, either E⊂c0 or E=l∞.
Now, let (H,(⋅,⋅)) be an infinite-dimensional Hilbert space over C, and let (B(H),∥⋅∥∞) be the C∗-algebra of bounded linear operators in H. Denote by K(H)
(F(H)) the two-sided ideal of compact (respectively, finite rank) linear operators in B(H). It is well known that, for any proper two-sided ideal I⊂B(H), we have F(H)⊂I, and if H is separable, then I⊂K(H) (see, for example, [20, Proposition 2.1]).
At the same time, if H is a non-separable Hilbert space, then there exists a proper two-sided ideal I⊂B(H) such that K(H)⫋I.
Denote Bh(H)={x∈B(H):x=x∗}, B+(H)={x∈B(H):x≥0}, and let
τ:B+(H)→[0,∞] be the canonical trace on B(H), that is,
[TABLE]
where {φj}j∈J is an orthonormal basis in H (see, for example, [21, Ch. 7, E. 7.5]).
Let P(H) be the lattice of projections in H. If 1 is the identity of B(H) and
e∈P(H), we will write e⊥=1−e.
Let x∈B(H), and let {eλ}λ≥0 be the spectral family of projections for the absolute value
∣x∣=(x∗x)1/2 of x, that is, eλ={∣x∣>λ}.
If t>0, then the t-th generalized singular number of x, or the non-increasing rearrangement of x,
is defined as
A non-zero linear subspace X⊂B(H) with a Banach norm ∥⋅∥X is called symmetric (fully symmetric) if the conditions
[TABLE]
(respectively,
[TABLE]
imply that y∈X and ∥y∥X≤∥x∥X.
The spaces (B(H),∥⋅∥∞) and (K(H),∥⋅∥∞) as well as the classical Banach two-sided ideals
[TABLE]
are examples of fully symmetric spaces.
It should be noted that for every symmetric space (X,∥⋅∥X)⊂B(H) and all x∈X, a,b∈B(H),
[TABLE]
Remark 2.1**.**
If X⊂B(H) is a symmetric space and there exists a projection e∈P(H)∩X such that τ(e)=∞, that is, dime(H)=∞, then μt(e)=μt(1)=1 for every t∈(0,∞). Consequently, 1∈X and X=B(H). If X=B(H) and x∈X, then eλ={∣x∣>λ} is a finite-dimensional projection, that is,
dimeλ(H)<∞ for all λ>0. This means that x∈K(H), hence X⊂K(H). Therefore, either X=B(H) or X⊂K(H).
Thus, if H is non-separable, then there exists a proper two-sided ideal I⊂B(H) such that K(H)⫋I and (I,∥⋅∥∞) is a Banach space which is not a symmetric subspace of B(H).
If x∈K(H), then ∣x∣=n=1∑m(x)sn(x)pn (if m(x)=∞, the series converges uniformly),
where {sn(x)}n=1m(x) is the set of singular values of x, that is, the set of eigenvalues of the compact operator ∣x∣ in the decreasing order, and pn is the projection onto the eigenspace corresponding to sn(x). Consequently, the non-increasing rearrangement μt(x) of x∈K(H) can be identified with the sequence {sn(x)}n=1∞, sn(x)↓0 (if m(x)<∞, we set sn(x)=0 for all n>m(x)).
Let (X,∥⋅∥X)⊂K(H) be a symmetric space. Fix an orthonormal basis {φj}j∈J in H and choose a countable subset {φjn}n=1∞. Let pn be the one-dimensional projection on the subspace C⋅φjn⊂H. It is clear that the set
[TABLE]
(the series converges uniformly),
is a symmetric sequence space with respect to the norm ∥ξ∥E(X)=∥xξ∥X. Consequently, each symmetric subspace (X,∥⋅∥X)⊂K(H) uniquely generates a symmetric sequence space (E(X),∥⋅∥E(X))⊂c0. The converse is also true: every symmetric sequence space (E,∥⋅∥E)⊂c0 uniquely generates a symmetric space (CE,∥⋅∥CE)⊂K(H) by the following rule (see, for example, [18, Ch. 3, Section 3.5]):
[TABLE]
In addition,
[TABLE]
We will call the pair (CE,∥⋅∥CE) a Banach ideal of compact operators (cf. [13, Ch. III]). It is known that
(Cp,∥⋅∥p)=(Clp,∥⋅∥Clp) for all 1≤p<∞ and
(K(H),∥⋅∥∞)=(Cc0,∥⋅∥Cc0).
Hardy-Littlewood-Polya partial order in the Banach ideal K(H) is defined by
[TABLE]
We say that a Banach ideal (CE,∥⋅∥CE) is fully symmetric if conditions y∈CE,
x∈K(H), x≺≺y entail that x∈CE and ∥x∥CE≤∥y∥CE. It is clear that (CE,∥⋅∥CE) is a fully symmetric ideal if and only if (E,∥⋅∥E) is a fully symmetric sequence space.
Examples of fully symmetric ideals include (K(H),∥⋅∥∞) as well as the Banach ideals (Cp,∥⋅∥p) for all 1≤p<∞. It is clear that C1⊂CE⊂K(H) for every symmetric sequence space E⊂c0 with ∥x∥CE≤∥x∥1 and ∥y∥∞≤∥y∥CE for all x∈C1 and y∈CE.
We will need the following property of Hardy-Littlewood-Polya partial order.
Proposition 2.1**.**
If x,y,yk∈K(H) are such that yk≺≺x for all k∈N and ∥yk−y∥∞→0 as k→∞, then
y≺≺x.
Proof.
Since yk≺≺x, it follows that ∑n=1msn(yk)≤∑n=1msn(x) for all m,k∈N. By [13, Ch.II, § 2, Sec.3̇, Corollary 2.3], ∣sn(yk)−sn(y)∣≤∥yk−y∥∞→0, hence ∑n=1msn(yk)→∑n=1msn(y) as k→∞ for every m∈N. Therefore
[TABLE]
for all m.
∎
Define
[TABLE]
By [9, Proposition 2.7], Rτ is the closure of C1 in (B(H),∥⋅∥∞), implying that
Rτ=K(H). Therefore t→∞limμt(x)>0 for every x∈B(H)∖K(H); in particular, there exists λ>0 such that τ{∣x∣>λ}=∞.
A linear operator T:B(H)→B(H) is called a Dunford-Schwartz operator if
[TABLE]
In what follows, we will write T∈DS (T∈DS+) to indicate that T is a Dunford-Schwartz operator (respectively, a positive Dunford-Schwartz operator, that is, T∈DS and T(B+(H))⊂B+(H)).
Any fully symmetric sequence space E is an exact interpolation space in the Banach pair (l1,l∞) (see, for example, [15, Ch. II, § 4, Sec. 2]). Therefore, for such E, the fully symmetric ideal CE is an exact interpolation space in the Banach pair (C1,B(H)); see [8, Theorem 2.4]. It then follows that T(CE)⊂CE and ∥T∥CE→CE≤1 for all T∈DS. In particular, T(K(H))⊂K(H) and the restriction of T on K(H) is a linear contraction (also denoted by T). We note that if T∈DS, then
An(T)∈DS; also, T(x)≺≺x and An(T)(x)≺≺x for any x∈K(H) and n.
3. Individual ergodic theorem in fully symmetric ideals of compact operators
Let H, τ:B+(H)→[0,∞], and C1 be as above. Utilizing Theorem 1.1 with M=B(H) and taking into account that τ(e)≥1 for every 0=e∈P(H), we arrive at the following.
Theorem 3.1**.**
Given T∈DS+ and x∈C1, there exists x∈C1 such that
∥An(T)(x)−x∥∞→0 as n→∞.
Theorem 3.1 can be extended to the fully symmetric ideal K(H). In fact, such an extension holds for any T∈DS:
Theorem 3.2**.**
Let T∈DS and x∈K(H). Then there exists x∈K(H) such that ∥An(T)(x)−x∥∞→0 as n→∞.
Proof.
Since T(C2)⊂C2, ∥T∥C2→C2≤1 and the Banach space C2 is reflexive, by the mean ergodic theorem [7, Ch. VIII, § 5, Corollary 4], the sequence {An(T)(x)} converges strongly in C2, that is, for every x∈C2 there exists x∈C2 such that ∥An(T)(x)−x∥2→0. As ∥ξ∥∞≤∥ξ∥2 for all ξ∈l2, it follows that ∥x∥∞≤∥x∥2 for all x∈C2. Consequently,
[TABLE]
Let now x∈K(H) and ε>0. Then there exists xε∈F(H)⊂C2 such that
∥x−xε∥∞<ε/4. Since the sequence An(T)(xε) converges uniformly, there exists N=N(ε) such that
[TABLE]
Therefore,
[TABLE]
for all m,n≥N.
Thus, since the space (K(H),∥⋅∥∞) is complete, there exists x∈K(H) such that
∥An(T)(x)−x∥∞→0.
∎
By virtue of Theorem 3.2, we now derive part (i) of Theorem 1.2, an individual ergodic theorem in fully symmetric ideals of compact operators:
Theorem 3.3**.**
Let CE be a fully symmetric ideal of compact operators, and let T∈DS.
Then, given x∈CE, the averages An(T)(x) converge uniformly to some x∈CE.
Proof.
As CE⊂K(H), it follows from Theorem 3.2 that the sequence
{An(T)(x)} converges uniformly to some x∈K(H), while Proposition 2.1
implies that x≺≺x, hence x∈CE.
∎
The rest of this section is devoted to proving part (ii) of Theorem 1.2: if x∈B(H)∖K(H), then there exists T∈DS such that the sequence {An(T)(x)} does not converge uniformly (Theorem 3.6 below).
We begin with a Dunford-Schwartz operator acting in the Banach space (l∞,∥⋅∥∞), that is, when a linear operator T:l∞→l∞ is such that ∥T(ξ)∥1≤∥ξ∥1 for all ξ∈l1 and ∥T(ξ)∥∞≤∥ξ∥∞ for all ξ∈l∞ (writing T∈DS). In this case, we have a commutative version of Theorem 1.2 (ii) (cf. [6, Theorem 3.3]):
Theorem 3.4**.**
If ξ∈l∞∖c0, then there exists T∈DS such that the averages An(T)(ξ) do not converge coordinate-wise, hence uniformly.
Proof.
Let {ξn}n=1∞∈lh∞∖c0. If ξ=ξ+−ξ−, then either ξ+={(ξ+)n}n=1∞∈lh∞∖c0 or ξ−∈lh∞∖c0, so let us assume the former. In addition, we may assume that n→∞lim((ξ+)∗)n=1. It is clear that the set {n∈N:(ξ+)n≥1} is infinite. In addition, the set
[TABLE]
is also infinite.
Let 1=n0,n1,n2… be an increasing sequence of positive integers. Define the function φ:N→R by
[TABLE]
[TABLE]
Then we have
[TABLE]
[TABLE]
[TABLE]
Let π:N→N be given by
[TABLE]
Define a linear operator T:l∞→l∞ by
[TABLE]
Then, clearly, T∈DS.
Since
[TABLE]
for all k,m∈N, it follows that
[TABLE]
Further, since
[TABLE]
there exists such n2>n1 that
[TABLE]
As
[TABLE]
one can find n3>n2 for which
[TABLE]
Continuing this procedure, we choose n1<n2<n3<… to satisfy the inequalities
[TABLE]
implying that {An(T)(ξ+)m1} is a divergent sequence.
Finally, note that T(ξ−)=0, which implies that
[TABLE]
so, the sequence {An(T)(ξ)} does not converge coordinate-wise, hence uniformly.
If ξ∈l∞∖c0, then
[TABLE]
As shown above, there exists T∈DS such that the sequence {An(T)(Reξ)} does not converge coordinate-wise. Then the sequence {An(T)(ξ)} also does not converge coordinate-wise, hence uniformly.
∎
Now we need a statement on the existence of conditional expectation in a von Neumann algebra B(H) (see, for example, [22]).
Theorem 3.5**.**
Let N be a von Neumann subalgebra in B(H) such that the restriction of the trace τ on N is a semifinite trace. Then there exists a unique linear map U:B(H)→N (conditional expectation on N), having the following properties:
(i)
τ(x)=τ(U(x))* for all x∈C1;*
2. (ii)
U(x)=x* for all x∈N;*
3. (iii)
U∈DS+; moreover, ∥U∥B(H)→B(H)=1 and ∥U∥C1→C1=1.
Assume first that (H,(⋅,⋅)) is a separable infinite-dimensional complex Hilbert space. Fix an orthonormal basis {φn}n∈N in H. Let pn be the one-dimensional projection on the linear subspace C⋅φn⊂H. It is clear that pmpn=0 for all m,n∈N, n=m.
For any ξ={ξn}n=1∞∈l∞ and h=n=1∑∞(h,φn)φn∈H we set
[TABLE]
It is clear that xξ∈B(H) and xξ=(wo)−n=1∑∞ξnpn, where (wo) stands for the weak operator topology. In addition,
[TABLE]
is the smallest commutative von Neumann subalgebra in B(H) containing all projections pn. Besides, the restriction of the trace τ on N is a semifinite trace.
Define the linear map Φ:(N,∥⋅∥∞)→(l∞,∥⋅∥∞) by setting Φ(xξ)=ξ.
Proposition 3.1**.**
Φ* is a positive linear surjective isometry.*
Proof.
By definition of Φ, we have Φ(N)=l∞.
Using [18, Ch. 1, § 1.1, E. 1.1.11], we see that
[TABLE]
that is, Φ is a linear surjective isometry.
Since ξ={ξn}n=1∞≥0 whenever xξ∈N+, the map Φ is positive.
∎
Let (E,∥⋅∥E)⊂c0 be a symmetric sequence space, and let NE=N∩CE. If xξ=n=1∑∞ξnpn∈NE, then {sn(xξ)}n=1∞={ξn∗}∈E, hence {ξn}∈E. In addition,
[TABLE]
Therefore, we have the following.
Proposition 3.2**.**
If (E,∥⋅∥E)⊂c0 is a symmetric sequence space, then the restriction Φ∣NE:(NE,∥⋅∥CE)→(E,∥⋅∥E) is a positive linear surjective isometry (we denote this restriction also by Φ).
Theorem 3.6**.**
If x∈B(H)∖K(H), then there exists T∈DS such that the sequence {An(T)(x)} does not converge uniformly.
Proof.
Assume first that x≥0 and H is separable. Since x∈/K(H), it follows that there exists a spectral projection eλ={x>λ}, λ>0, such that τ(eλ)=∞. Choose an orthonormal basis {φn}n=1∞ in H such that eλ≥pni for some sequence {ni}i=1∞, where pn is the one-dimensional projection on the subspace C⋅φn⊂H.
Let N={xξ∈B(H):ξ={ξn}n=1∞∈l∞} be the smallest commutative von Neumann subalgebra in B(H) containing all projections pn. By virtue of Theorem 3.5, there exists a conditional expectation U:B(H)→N such that
[TABLE]
Consequently, y∈/Rτ and y=xξ∈N, where 0≤ξ={ξn}n=1∞∈l∞∖c0. Besides, by definition of Φ, we have Φ(y)=ξ.
Next, by Theorem 3.4, there exists an operator S:l∞→l∞, S∈DS, such that the sequence {An(S)(ξ)} does not converge uniformly. Consider the operator
[TABLE]
It is clear that T∈DS. As y=U(x)∈N, hence U(y)=y (see Theorem 3.5 (ii)), and
UΦ−1=Φ−1, we have Tk(y)=Φ−1SkΦ(y) for each k∈N.
Since Φ−1 is an isometry and
[TABLE]
for all n∈N, it follows that the sequence {An(T)(y)}n=1∞ does not converge uniformly.
Now, as above, y=U(x)∈N entails Tk(x)=Φ−1SkΦ(y)=Tk(y) for all k∈N. Therefore, we have
[TABLE]
and it follows that the sequence {An(T)(x)}n=1∞ also does not converge uniformly.
Let now H be non-separable, and let 0≤x∈B(H)∖K(H). Since x∈/K(H) it follows that there exists a spectral projection eλ={x>λ}, λ>0, such that τ(eλ)=∞. Choose an orthonormal basis {φj}j∈J in H such that eλ≥pjn for some sequence {jn}n=1∞, where pj is the one-dimensional projection on the subspace C⋅φj⊂H.
If p=n∈Nsuppjn, then H0=p(H) is a separable infinite-dimensional Hilbert subspace in H such that K(H0)=pK(H)p.
Since z=pxp∈B+(H0) and z≥λpeλp≥λp, it follows that z∈B+(H0)∖K(H0). In view of the above, there exists a Dunford-Schwartz operator D0:B(H0)→B(H0) such that the sequence {An(D0)(z)}n=1∞ does not converge uniformly.
It is clear that D(y)=D0(pyp), y∈B(H), is a Dunford-Schwartz operator in B(H) such that Dk(x)=D0k(z) for each k∈N. Then
[TABLE]
and we conclude that the sequence {An(D)(x)}n=1∞ does not converge uniformly.
Further, let x∈B(H)h∖K(H). Then x=x+−x− such that x+,x−∈B+(H) and x+x−=0. It is clear that either x+∈B+(H)∖K(H) or x−∈B+(H)∖K(H). Suppose that x+∈B+(H)∖K(H) and let q=s(x+) be the support of x+. If L=q(H), then, by the above, there exists a Dunford-Schwartz operator S0:B(L)→B(L) such that the sequence {An(S0)(x+)}n=1∞ does not converge uniformly. Consider the operator S:B(H)→B(H) given by S(y)=S0(qyq), y∈B(H). It is clear that S∈DS, S(x)=S0(qxq)=S0(x+), and Sk(x)=S0k(x+) for all k∈N. Consequently, the sequence {An(S)(x)}n=1∞ does not converge uniformly.
Finally, if x∈B(H)∖K(H) is arbitrary, then, repeating the ending of the proof of Theorem 3.4, we obtain that there exists T∈DS such that the sequence {An(T)(x)} does not converge uniformly.
∎
Let X⊂B(H) be a fully symmetric space. We will write X∈(IET) if X satisfies the following individual ergodic theorem: for any x∈X and T∈DS there exists x∈X such that ∥An(T)(x)−x∥∞→0 as n→∞.
Theorems 3.3 and 3.6 yield the following criterion.
Theorem 3.7**.**
Let X⊂B(H) be a fully symmetric space. Then the following conditions are equivalent:
(i)
X∈(IET);
2. (ii)
X⊂K(H).
4. Mean ergodic theorem in fully symmetric ideals of compact operators
In this section, our goal is to prove Theorem 1.4. So, let (E,∥⋅∥E)⊂c0 be a fully symmetric sequence space, and let (CE,∥⋅∥CE) be a fully symmetric ideal generated by (E,∥⋅∥E). We will write CE∈(MET) if the ideal (CE,∥⋅∥CE) satisfies the mean ergodic theorem, that is, if for any x∈CE and T∈DS there exists x∈CE such that ∥An(T)(x)−x∥CE→0 as n→∞,
Proposition 4.1**.**
C1∈/(MET).
Proof.
Let S:l∞→l∞ be the positive Dunford-Schwartz operator defined by
[TABLE]
If ξ={1,0,0,…}∈l1, then
[TABLE]
Consequently, the sequence {An(S)(ξ)} does not converge in the norm ∥⋅∥1.
Let {φj}j∈J be an orthonormal basis in the Hilbert space H, and let {φjn}n=1∞ be a countable subset of {φj}j∈J. Let pn be the one-dimensional projection on the subspace C⋅φjn⊂H, and let p=n∈Nsuppn. It is clear that H0=p(H) is a separable infinite-dimensional Hilbert subspace in H and K(H0)=pK(H)p. Let
[TABLE]
be the smallest commutative von Neumann subalgebra in B(H0) containing the projections pn, n∈N, and let Φ(xξ)={ξn}n=1∞ be the positive linear surjective isometry from (N(H0),∥⋅∥∞) onto (l∞,∥⋅∥∞) given in Proposition 3.1. Finally, let U:B(H0)→N(H0) be the conditional expectation given in Theorem 3.5.
It is clear that
[TABLE]
is a positive Dunford-Schwartz operator. If ξ={1,0,0,…}∈l1 and xξ=Φ−1(ξ), then xξ∈N(H0)∩C1 (see Proposition 3.2), and U(xξ)=xξ (see Theorem 3.5 (ii)). Consequently,
[TABLE]
Now, repeating the proof of Theorem 3.6, we conclude that the averages {An(T)(xξ)} do not converge in the norm ∥⋅∥1, that is, C1∈/(MET).
∎
Here is another sufficient condition for CE∈/(MET):
Proposition 4.2**.**
If (E,∥⋅∥E)⊂c0 is non-separable fully symmetric sequence space, then CE∈/(MET).
Proof.
If (E,∥⋅∥E)⊂c0 is a non-separable fully symmetric sequence space, then there exists ξ={ξn}n=1∞={ξn∗}n=1∞∈E, hence ξn↓0, such that
[TABLE]
Let the operator S∈DS be defined as in the proof of Proposition 4.1. Then Sk(ξ)={k0,0,…,0,ξ1,ξ2,…} and
[TABLE]
where
[TABLE]
and
[TABLE]
Since ξn↓0, given 1≤m≤n+1, we have
[TABLE]
implying that An(S)(ξ)→0 coordinate-wise.
Assume that there exists ξ∈E such that ∥An(S)(ξ)−ξ∥E→0. Then we have
∥An(S)(ξ)−ξ∥∞→0; in particular, An(S)(ξ)→0 coordinate-wise, hence ξ=0.
implying that the sequence {An(S)(ξ)} does not converge in the norm ∥⋅∥E.
Now, if we define the Dunford-Schwartz operator T∈DS as in the proof of Proposition 4.1, then repeating its proof for x=Φ−1(ξ), we conclude that the sequence {An(T)(x)} does not converge in (CE,∥⋅∥CE). This means that CE∈/(MET).
∎
Fix T∈DS. By Theorem 3.2, for every x∈K(H) there exists x∈K(H) such that ∥An(T)(x)−x∥∞→0 as n→∞. Therefore, one can define a linear operator PT:K(H)→K(H) by setting PT(x)=x. Then we have
[TABLE]
Besides, since the unit ball in (C1,∥⋅∥1) is closed in measure topology [9, Proposition 3.3] and ∥An(T)(x)∥1≤∥x∥1 for all x∈C1, it follows that ∥PT(x)∥1≤∥x∥1, x∈C1. Consequently, ∥PT∥C1→C1≤1, and, according to [4, Proposition 1.1], there exists a unique operator P∈DS such that P(x)=PT(x) whenever x∈K(H). In what follows, we denote P by PT.
Lemma 4.1**.**
If T∈DS and x∈K(H), then
[TABLE]
Proof.
We have
[TABLE]
On the other hand,
[TABLE]
implying that
[TABLE]
hence PTT(x)=PT(x).
Now, as ∥An(T)(x)−PT(x)∥∞→0, we have ∥T(An(T)(x))−T(PT(x))∥∞→0 as n→∞, and the result follows.
∎
Corollary 4.1**.**
If T∈DS and x∈K(H), then
[TABLE]
We need the following property of separable symmetric sequence spaces [10, Proposition 2.2].
Proposition 4.3**.**
Let (E,∥⋅∥E) be a separable symmetric sequence space. If CE∋yn≺≺x∈CE for every
n∈N and ∥yn∥∞→0 as n→∞, then ∥yn∥CE→0 as n→∞.
(i) ⇒ (ii): Proposition 4.2 implies that E is separable. If E=l1 as sets, then the norms
∥⋅∥E and ∥⋅∥1 are equivalent [19, Part II, Ch. 6, § 6.1]. Therefore, in view of Proposition 4.1, we would have (CE,∥⋅∥CE)∈/(MET), a contradiction.
(ii) ⇒ (i): Let (E,∥⋅∥E) be separable, E=l1, and let T∈DS.
If x∈CE and y=x−PT(x), then PT(y)=0, which, by Theorem 3.3, implies ∥An(T)(y)∥∞→0. Since E is a separable symmetric sequence space, it follows from Proposition 4.3 that
[TABLE]
Since PT(z)≺≺z for all z∈K(H) (see Section 2) and T∈DS, it follows that An(T)(PT(x))≺≺PT(x)≺≺x, hence An(T)(PT(x))−PT(x)≺≺2x. Next, as An(T)(PT(x))⟶∥⋅∥∞PT(x), Proposition 4.3 entails
5. Ergodic theorems in Orlicz, Lorentz, and Marcinkiewicz ideals of compact operstors
In this section we present applications of Theorems 1.2 and 1.4 to Orlicz, Lorentz and Marcinkiewicz ideals of compact operators.
Let Φ be an Orlicz function, that is, Φ:[0,∞)→[0,∞) is left-continuous, convex, increasing and such that Φ(0)=0 and Φ(u)>0 for some u=0 (see, for example, [11, Ch. 2, § 2.1], [16, Ch. 4]). Let
[TABLE]
be the corresponding Orlicz sequence space, and let
[TABLE]
be the Luxemburg norm in lΦ(N). It is well-known that (lΦ(N),∥⋅∥Φ) is a fully symmetric sequence space.
If Φ(u)>0 for all u=0, then n=1∑∞Φ(a−1)=∞ for each a>0, hence 1={1,1,...}∈/lΦ(N) and lΦ(N)⊂c0. If Φ(u)=0 for all 0≤u<u0, then 1∈lΦ and lΦ(N)=l∞.
It is said that an Orlicz function Φ satisfies (Δ2)-condition at [math] if there exist u0∈(0,∞) and k>0 such that Φ(2u)<kΦ(u) for all 0<u<u0. It is well known that an Orlicz function Φ satisfies (Δ2)-condition at [math] if and only if (lΦ(N),∥⋅∥Φ) is separable; see [11, Ch. 2, § 2.1, Theorem 2.1.17], [16, Ch. 4, Proposition 4.a.4].
We also note that lΦ(N)=l1, as sets, if and only if u→0limsupuΦ(u)>0; see [16, Ch. 4, Proposition 4.a.5], [19, Ch. 16, § 16.2].
If Φ(u)>0 for all u=0, then lΦ(N)⊂c0, and we can define
Let Φ be an Orlicz function such that Φ(u)>0 for all u=0. Then
(i)
CΦ∈(IET);
2. (ii)
(CΦ,∥⋅∥Φ)∈(MET)* if and only if
Φ satisfies (Δ2)-condition at [math] and u→0limuΦ(u)=0.*
Let ψ be a concave function on [0,∞) with ψ(0)=0 and ψ(t)>0 for all t>0, and let
[TABLE]
the corresponding Lorentz sequence space. The pair (Λψ(N),∥⋅∥ψ)
is a fully symmetric sequence space; see, for example, [15, Ch. II, § 5], [19, Part III, Ch. 9, § 9.1]. Besides, if ψ(∞)=∞, then 1∈/Λψ(N) and Λψ(N)⊂c0; if
ψ(∞)<∞, then 1∈Λψ(N) and Λψ(N)=l∞.
It is well known that (Λψ(N),∥⋅∥ψ) is separable if and only if ψ(+0)=0 and ψ(∞)=∞; see, for example, [15, Ch. II, § 5, Lemma 5.1], [19, Ch. 9, § 9.3, Theorem 9.3.1]. It is clear that
t→∞limtψ(t)>0 if and only if the norms ∥⋅∥ψ and ∥⋅∥1 are equivalent on
Λψ(N), that is, if Λψ(N)=l1, as sets.
Let ψ be a concave function on [0,∞) with ψ(0)=0, ψ(t)>0 for all t>0, and let ψ(∞)=∞. Then
(i)
Cψ∈(IET);
2. (ii)
(Cψ,∥⋅∥ψ)∈(MET)* if and only if ψ(+0)=0 and t→∞limtψ(t)=0.*
Let ψ be as above, and let
[TABLE]
the corresponding Marcinkiewicz sequence space. The space (Mψ(N),∥⋅∥Mψ) is a fully symmetric sequence space; see, for example, [15, Ch. II, § 5], [19, Part III, Ch. 9, § 9.1]. In addition,
1∈/Mψ(N) if and only if t→∞limtψ(t)=0 [15, Ch. II, § 5]). Besides, Mψ(N)=l1, as sets, if and only if ψ(∞)<∞.
If ψ(+0)=0, ψ(∞)=∞, and t→+0limtψ(t)=∞, then Mφ is non-separable; see [1], [15, Ch. II § 5, Lemma 5.4].
If t→∞limtψ(t)=0, then Mψ(N)⊂c0, and we define
[TABLE]
Finally, Theorems 1.2 and 1.4 imply the following.
Theorem 5.3**.**
Let ψ be a concave function on [0,∞) with ψ(0)=0, ψ(t)>0 for all t>0,
and let t→∞limtψ(t)=0. Then
(i)
(CMψ∈(IET);
2. (ii)
if either ψ(∞)=∞, ψ(+0)=0, and t→0+limtψ(t)=∞ or ψ(∞)<∞, then
(CMψ,∥⋅∥CMψ)∈/(MET).
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