This paper characterizes the conditions under which the Dunford-Schwartz pointwise ergodic theorem holds in quasi-non-atomic infinite measure spaces, linking it to the finiteness of measure of level sets of functions.
Contribution
It provides a necessary and sufficient condition for the validity of the ergodic theorem in certain infinite measure spaces.
Findings
01
Ergodic theorem holds iff measure of {f ≥ λ} is finite for all λ>0
02
Characterizes the validity of the theorem in quasi-non-atomic spaces
03
Links measure properties of functions to ergodic convergence
Abstract
We show that if a σ−finite infinite measure space (Ω,μ) is quasi-non-atomic, then the Dunford-Schwartz pointwise ergodic theorem holds for f∈L1(Ω)+L∞(Ω) if and only if μ{f≥λ}<∞ for all λ>0.
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Full text
validity space
of Dunford-Schwartz pointwise ergodic theorem
VLADIMIR CHILIN
National University of Uzbekistan, Tashkent, Uzbekistan
We show that if a σ−finite infinite measure space (Ω,μ) is quasi-non-atomic,
then the Dunford-Schwartz pointwise ergodic theorem
holds for f∈L1(Ω)+L∞(Ω) if and only ifμ{f≥λ}<∞ for all λ>0.
Let (Ω,A,μ) be a complete measure space.
Denote by L0=L0(Ω) the algebra of equivalence classes of almost everywhere (a.e.)
finite real-valued measurable functions on Ω. Let Lp⊂L0, 1≤p≤∞, be the Lp−space
equipped with the standard norm ∥⋅∥p.
Let T:L1+L∞→L1+L∞ be a Dunford-Schwartz operator (see Definition 2.1).
Dunford-Schwartz theorem on a.e. convergence of the ergodic averages
[TABLE]
for a Dunford-Schwartz operator T acting in the Lp−space, 1≤p<∞, of real valued functions of an
arbitrary measure space was established in [3]; see also [4, Theorem VIII.6.6].
If μ(Ω)=∞, then there is the problem of describing the largest subspace of L1+L∞
for which Dunford-Schwartz theorem is valid.
It can be noticed that the averages An(f) converge a.e. for all f∈Rμ, that is,
when f∈L1+L∞ is such that μ{f≥λ}<∞ for all λ>0 (see, for example, [2]).
We show that if a σ−finite infinite measure space (Ω,μ) has finitely many atoms or its atoms
have equal measures, then
Rμ is the largest subspace of L1+L∞ for which
the convergence takes place: if f∈(L1+L∞)∖Rμ, then there exists a Dunford-Schwartz operator
T such that the sequence {An(T,f)} does not converge a.e. (Theorem 3.4).
As a corollary, we derive that a fully symmetric space
E⊂L1+L∞ of a σ−finite quasi-non-atomic measure space (see Definition 2.3) possesses
the individual ergodic theorem property
(see Definition 2.2) if and only if the characteristic function of Ω does not belong to E. In conclusion, we
outline some (classes of) fully symmetric spaces that do or do not possess the individual ergodic theorem property.
2. Preliminaries
If f∈L1+L∞, then
a non-increasing rearrangement of f is defined as
It is clear that Rμ admits a more direct description:
[TABLE]
Note that if μ(Ω)<∞, then Rμ is simply L1.
Therefore, we will be concerned with infinite measure spaces.
By [6, Ch.II, §4, Lemma 4.4], (Rμ,∥⋅∥L1+L∞) is a symmetric space. In addition,
Rμ is the closure of L1∩L∞ in L1+L∞ (see [6, Ch.II, §3, Section 1]).
Furthermore, it follows from definitions of Rμ and ∥⋅∥L1+L∞ that if
[TABLE]
then g∈Rμ and ∥g∥L1+L∞≤∥f∥L1+L∞. Therefore
(Rμ,∥⋅∥L1+L∞) is a fully symmetric space.
Definition 2.1**.**
A linear operator T:L1+L∞→L1+L∞ is called a Dunford-Schwartz operator if
[TABLE]
In what follows, we will write T∈DS to indicate that T is a Dunford-Schwartz operator. If T is, in addition,
positive, we shall write T∈DS+. It is clear that
[TABLE]
for all T∈DS and T(f)≺≺f for all f∈L1+L∞ [6, Ch.II, §3, Sec.4].
Therefore T(E)⊂E for every fully symmetric space
E and
[TABLE]
(see [6, Ch.II, §4, Sec.2]).
In particular, T(Rμ)⊂Rμ, and the restriction of T on Rμ is a linear contraction.
Definition 2.2**.**
We say that a fully symmetric space E⊂L1(Ω)+L∞(Ω) possesses the
individual ergodic theorem property, writing E∈ IET(Ω), if for every f∈E and T∈DS the averages (1) converge a.e. to some f∈E.
Let χE be the characteristic function of a set E∈A. Denote
1=χΩ. The following fact was noticed in [2, Proposition 2.1].
Proposition 2.1**.**
If μ(Ω)=∞, then a symmetric space E⊂L1+L∞ is contained in
Rμ if and only if 1∈/E.
Here is a Dunford-Schwartz pointwise ergodic theorem in a fully symmetric space E⊂Rμ [2, Theorem 4.3]:
Theorem 2.1**.**
Let (Ω,μ) be an infinite measure space. If E⊂L1+L∞
is a fully symmetric space with 1∈/E, then E∈IET(Ω). In particular, Rμ∈IET(Ω).
Definition 2.3**.**
We say that a measure space (Ω,μ) is quasi-non-atomic
if it has finitely many atoms or its atoms have the same measure.
Our main result is Theorem 3.4 below stating that if a σ−finite measure space (Ω,μ)
is quasi-non-atomic, then
the fully symmetric space Rμ is maximal relative to Dunford-Schwartz pointwise ergodic theorem, that is,
[TABLE]
We will begin with the case when Ω=(0,∞) equipped with Lebesgue measure; see Theorem 3.1.
In order to establish Theorem 3.1 for a quasi-non-atomic measure space, we will need some properties of non-atomic
σ−finite measure spaces.
Let (Ω1,A1,μ1) and (Ω2,A2,μ2) be measure spaces.
A mapping σ:Ω1→Ω2 is said to be a measure-preserving transformation (m.p.t.) if
[TABLE]
If f∈L0(Ω), denote supp(f)={f=0}. The following
property of non-atomic measure spaces can be found in [1, Ch.2, Corollary 7.6].
Theorem 2.2**.**
Let (Ω,μ) be a non-atomic σ−finite measure space. Then, given 0≤f∈Rμ,
there is a surjective m.p.t. σ:supp(f)→supp(μt(f))
such that
[TABLE]
on supp(f).
Let ∇ be a complete Boolean algebra. Denote by Q(∇) the Stone compact of ∇, and let C∞(Q(∇)) be the algebra of continuous functions f:Q(∇)→[−∞,+∞] assuming possibly the
values ±∞ on nowhere dense subsets of Q(∇) [7, 1.4.2]. Let C(Q(∇)) be the Banach algebra of continuous functions f:Q(∇)→R relative to the norm
[TABLE]
We will employ the following extension result.
Theorem 2.3**.**
If φ:∇1→∇2 is an isomorphism of complete Boolean algebras,
then there exists a unique isomorphism Φ:C∞(Q(∇1))→C∞(Q(∇2))
such that Φ(e)=φ(e) for all e∈∇1.
Proof.
Show first that the isomorphism φ extends up to an isomorphism Φ0:C(Q(∇1))→C(Q(∇2)).
Let R(∇1) be the subalgebra of step-elements of the algebra
C∞(Q(∇1)), that is, elements of the form
f=i=1∑kλiei, where ei∈∇1, eiej=0 if i=j,
and λi∈R, i=1,...,k.
It is clear that the subalgebra R(∇1) is dense in the Banach algebra (C(Q(∇1)),∥⋅∥∞).
Put
[TABLE]
Since φ is an isomorphism of Boolean algebras, it follows that Φ0:R(∇1)→R(∇2)
is an isomorphism and an isometry with respect to the norm ∥⋅∥∞. Due to the density of the subalgebra
R(∇i) in the Banach algebra (C(Q(∇i)),∥⋅∥∞), i=1,2,
Φ0 uniquely extends to an isomorphism
Φ0:C(Q(∇1))→C(Q(∇2)). It is clear that Φ0(e)=φ(e) for all e∈∇1.
If f∈C∞(Q(∇1)), then there exists a partition
{ei} of unity 1∇1, such that fei∈C(Q(∇1)) for each i. Since φ is an isomorphism of Boolean algebras,
it follows that {φ(ei)} is a partition of unity 1∇2. Therefore, there is a unique
g∈C∞(Q(∇2)), such that
[TABLE]
If {qj} is another partition of unity 1∇1 such that fqj∈C(Q(∇1)) for all j, then
{pij=eiqj} is also a partition of unity 1∇1 and fpij∈C(Q(∇1)) for any i,j.
If h∈C∞(Q(∇2)) is such that hφ(qj)=Φ0(fqj)φ(qj)
for all j, then
[TABLE]
[TABLE]
for any i,j. Since
[TABLE]
we have h=g. Therefore, we can define the mapping Φ:C∞(Q(∇1))→C∞(Q(∇2))
by Φ(f)=g. Clearly, Φ:C∞(Q(∇1))→C∞(Q(∇2)) is a unique isomorphism
such that Φ(e)=φ(e) for each e∈∇1.
∎
If ∇μ is the complete Boolean algebra of the classes e=[E] of μ−a.e. equal sets in
A, then
[TABLE]
is a strictly positive measure on ∇μ.
The following is a refinement of Theorem 2.3 in the case of measure spaces.
Theorem 2.4**.**
Let (Ωi,μi) be a σ−finite measure space, i=1,2,
and let φ:∇μ1→∇μ2 be an isomorphism such that
[TABLE]
Then there exists a unique isomorphism Φ:L0(Ω1)→L0(Ω2) such that
(1)
Φ(e)=φ(e)* for all e∈∇μ1;*
2. (2)
Φ:L1(Ω1)→L1(Ω2)* and Φ:L∞(Ω1)→L∞(Ω2)
are bijective linear isometries;*
3. (3)
If fn,f∈L0(Ω1) and gn,g∈L0(Ω2), then Φ(fn)→Φ(f) (μ2−a.e.)
if and only if fn→f (μ1−a.e.)
and Φ−1(gn)→Φ−1(g) (μ1−a.e.)
if and only if gn→g (μ2−a.e.).
Proof.
The existence of a unique isomorphism Φ:L0(Ω1)→L0(Ω2) with property (1)
follows directly from Theorem 2.3.
(2) It is clear that Φ is the bijection from the algebra R(∇μ1) of step-elements
in L0(Ω1) onto the algebra R(∇μ2). By (2),
for every f=i=1∑kλiei∈R(∇μ1), we have
[TABLE]
Since the algebra R(∇μi) is dense in (L1(μi),∥⋅∥1),i=1,2, it follows that there exists a bijective linear isometry U from (L1(Ω1),∥⋅∥1) onto (L1(Ω2),∥⋅∥1) such that U(f)=Φ(f) for every f∈R(∇μ1).
If f∈L+1(Ω1), then there exists a sequence {fn}⊂R(∇μ1)
such that 0≤fn↑f. Then we have ∥fn−f∥1→0, which implies that ∥U(fn)−U(f)∥1→0. Therefore Φ(fn)=U(fn)↑U(f). Since Φ:L0(Ω1)→L0(Ω2) is an isomorphism, it follows that Φ(fn)↑Φ(f), and we conclude that Φ(f)=U(f) for every f∈L+1(Ω1).
Now, since L1(Ω1)=L+1(Ω1)−L+1(Ω1), we obtain
Φ(x)=U(x) for all ∈L1(Ω1),
hence Φ:(L1(Ω1),∥⋅∥1)→(L1(Ω2),∥⋅∥1)
is a bijective linear isometry.
If 0≤f∈L+∞(Ω1), we choose a sequence {fn}⊂R(∇μ1) such that
0≤fn↑f and ∥fn−f∥∞→0 and repeat the preceding argument.
(3) Since Φ:L0(Ω1)→L0(Ω2) is an isomorphism, it follows that, given fn,f∈L0(Ω1),
[TABLE]
where fn⟶(o)f is the (o)−convergence, that is, there exist gn,hn∈L0(Ω1)
such that gn≤fn≤hn for all n and gn↑f,hn↓f.
This completes the argument because (o)−convergence and convergence a.e. coincide
(see, for example, [10, Ch.VI, §3]).
∎
We will also need some properties of conditional expectations.
In the case of finite measure the following is known (see, for example, [9, Ch.IV, §IV.3]).
Theorem 2.5**.**
Let (Ω,A,μ) be a finite measure space, and let B be a
σ−subalgebra of A. Then there exists a positive linear contraction
U:L1(Ω,A,μ)→L1(Ω,B,μ) such that
(1)
U(L1(Ω,A,μ))=L1(Ω,B,μ)* and
U(L∞(Ω,A,μ))=L∞(Ω,B,μ);*
2. (2)
U(1)=1* and ∥U(f)∥∞≤∥f∥∞ for all f∈L∞(Ω,A,μ);*
3. (3)
U2=U* and ∫ΩU(f)dμ=∫Ωfdμ for all f∈L1(Ω,A,μ).*
The next theorem is a version of Theorem 2.5 for σ−finite measure.
Theorem 2.6**.**
Let (Ω,A,μ) be a σ−finite measure space, and let B be a
σ−subalgebra of A. Then there exists S∈DS+(Ω,A,μ) such that
(1)
S(L1(Ω,A,μ))=L1(Ω,B,μ)* and S(L∞(Ω,A,μ))=L∞(Ω,B,μ);*
2. (2)
S(1)=1;
3. (3)
S2=S* and ∫ΩS(f)dμ=∫Ωfdμ for all f∈L1(Ω,A,μ).*
Proof.
If μ(Ω)<∞, then Theorem 2.6 follows from Theorem 2.5. So, let μ(Ω)=∞. Then there exists the sequence {Gn}n=1∞⊂B such that μ(Gn)<∞ for all n, Gn∩Gk=∅
if n=k, and ⋃n=1∞Gn=Ω. Let AGn={Gn∩E:E∈A} and
BGn={Gn∩E:E∈B},n∈N. By Theorem 2.5, there exists a conditional expectation
Un:L1(Ω,AGn,μ)→L1(Ω,BGn,μ) satisfying
conditions (i)-(iii) of Theorem 2.5.
Since ∫Ω∣f∣dμ=∑n=1∞∫Gn∣f∣dμ, f∈L1(Ω,A,μ),
the map U:L1(Ω,A,μ)→L1(Ω,B,μ) given by
[TABLE]
is well-defined.
It clear that U is a positive linear ∥⋅∥1−contraction such that
∥U(f)∥∞≤∥f∥∞ for all f∈L1(Ω,A,μ)∩L∞(Ω,A,μ)
and U(g)=g for all g∈L1(Ω,B,μ).
By [2, Theorem 3.1], there is S∈DS+(Ω,A,μ) such that S(f)=U(f) for all
f∈L1(Ω,A,μ); in particular, S(g)=g for all g∈L1(Ω,B,μ).
If 0≤f∈L∞(Ω,A,μ), then 0≤fχGn∈L∞(Ω,AGn,μ) and ∑n=1kfχGn↑f as k→∞. Since, by [2, Theorem 3.1],
S∣L∞(Ω,A,μ) is σ(L∞,L1)−continuous, it follows that
[TABLE]
as k→∞. Besides, for any k we have
[TABLE]
hence S(L∞(Ω,A,μ))=L∞(Ω,B,μ) and ∥S(f)∥∞≤∥f∥∞
if f∈L∞(Ω,A,μ).
From the definition of U and ∫Ω∣f∣dμ=∑n=1∞∫Gn∣f∣dμ,
f∈L1(Ω,A,μ), it follows that S(L1(Ω,A,μ))=L1(Ω,B,μ).
It is also clear that S(1)=1, S2=S, and ∫ΩS(f)dμ=∫Ωfdμ for all f∈L1(Ω,A,μ).
∎
If (Ω,A,μ) be a σ−finite measure space,
E∈A and AE={E∩G:G∈A}, then (E,AE,μ) is also a σ−finite measure space. We will need the next corollary of Theorem 2.6.
Corollary 2.1**.**
Let (Ω,A,μ) be a σ−finite measure space,
and let E∈A. If B is a σ−subalgebra of
AE and T∈DS(E,B,μ), then there exists T∈DS(Ω,A,μ) such that
[TABLE]
for all g∈L1(E,B,μ)+L∞(E,B,μ) and n.
Proof.
By Theorem 2.6, there exists S∈DS+(E,AE,μ) such that
S(L1(E,AE,μ))=L1(E,B,μ), S(L∞(E,AE,μ))=L∞(E,B,μ), and S2=S.
If we define T(f)=T(S(fχE)), f∈L1(Ω,A,μ)+L∞(Ω,A,μ),
then it follows that T∈DS(Ω,A,μ), and T(g)=T(g) and An(T,g)=An(T,g)
for all g∈L1(E,B,μ)+L∞(E,B,μ) and n.
∎
3. Maximality of the space Rμ
Theorem 3.1**.**
Let ν be Lebesgue measure on the interval (0,∞). Then, given f∈(L1(0,∞)+L∞(0,∞))∖Rν, there exists T∈DS such that the averages (1) do not converge a.e., hence Cν=Rν.
Proof.
Let f∈(L1+L∞)∖Rν. If f=f+−f−, then either
f+∈(L1+L∞)∖Rν or f−∈(L1+L∞)∖Rν,
so let us assume the former. Then we have
[TABLE]
which implies that there exist 0<a<b<∞ such that
[TABLE]
If we denote G={a≤f+≤b}, then μ(G)=∞.
Since μ is non-atomic, one can construct a sequence {Gm}m=0∞ of pairwise disjoint subsets of G such that
[TABLE]
Let 0=n0,n1,n2… be an increasing sequence of integers. Define the function φ on (0,∞) by
[TABLE]
Note that φ(t)=0 when t∈(0,∞)∖G.
Next, since μ(Gm)=μ(Gm+1), there exists a measure preserving isomorphism τm:Gm→Gm+1,
m=0,1,2,… ([1, Ch.2, Proposition 7.4]). Therefore, we have a measure preserving isomorphism τ:G→G such that τ(Gm)=Gm+1 for all m. Expand τ to (0,∞) by letting τ(t)=t if t∈(0,∞)∖G.
Let us now define T∈DS(0,∞) as
[TABLE]
Then it follows that
[TABLE]
We have
[TABLE]
Further, since
[TABLE]
there exists such n2 that
[TABLE]
As
[TABLE]
one can find n3 for which
[TABLE]
Continuing this procedure, we choose n1<n2<n3<… to satisfy the inequalities
[TABLE]
for every t∈G0, implying that the sequence {An(f+)(t)} diverges whenever t∈G0.
Finally, note that T(f−)=0, which implies that
[TABLE]
hence the sequence {An(f)(t)} does not converge almost everywhere on (0,∞).
∎
Now we shall extend Theorem 3.1 to the class of σ−finite non-atomic measure spaces:
Theorem 3.2**.**
If (Ω,A,μ) is a non-atomic σ−finite measure space, then Cμ=Rμ.
Proof.
Take f∈(L1(Ω)+L∞(Ω))∖Rμ. We need to show that f∈/Cμ.
Without loss of generality, f≥0 (see the proof of Theorem 3.1).
Assume that t→∞limμt(f)=1:
if t→∞limμt(f)=α>0, then we can take αf instead of f. Then we have
[TABLE]
Assume first that μ(E)=∞, where E={f>1}. In this case the functions f and h=fχE
are equimeasurable, so μt(f)=μt(h). If g=h−χE, then supp(g)=E and, given t>0,
Since μt(g)+1∈(L1(0,∞)+L∞(0,∞))∖Rν, Theorem 3.1 entails
that there is T∈DS(0,∞) such that the sequence
[TABLE]
If B is the σ−algebra of Lebesgue measurable sets in (0,∞), let us denote
[TABLE]
and let φ([σ−1(B)])=[B], B∈B. It is clear that φ:∇σ→∇ν(0,∞)
is an isomorphism of Boolean algebras and ν(φ(p))=μ(p) for all p∈∇σ.
Besides, if B∈B, e=χB, and
e∘σ=χσ−1(B), then χB∘σ=χσ−1(B), hence
[TABLE]
By Theorem 2.4, there exists an isomorphism Φ:L0(E,Aσ,μ)→L0(0,∞) such that
Φ(e)=φ(e) for all e∈∇σ. Show that
[TABLE]
If u=i=1∑kλiei∈R(∇ν(0,∞)), where λi∈R and
ei∈∇ν(0,∞) with eiej=0 for i=j, then
[TABLE]
Let now u∈L+0(0,∞). Then there exists a sequence 0≤un∈R(∇ν(0,∞)) such that un↑u, hence (un∘σ)↑(u∘σ). Since Φ is an isomorphism, it follows that
Φ(un∘σ)↑Φ(u∘σ). Therefore
[TABLE]
If u∈L0(0,∞), then u=u+−u− with u+,u−∈L+0(0,∞), and (5) follows.
Let T=Φ−1TΦ. In view of Theorem 2.4 (2), T∈DS(E,Aσ,μ).
Note that, since σ is a m.p.t. and g=μt(g)∘σ, it follows that f,g,h∈L0(E,Aσ,μ).
Then, utilizing (5), we obtain
[TABLE]
[TABLE]
Combining now (4) with Theorem 2.4 (3), we conclude that the averages An(T,f)
do not converge a.e. on E.
By Corollary 2.1, there exists T∈DS(Ω,A,μ)
such that T(u)=T(u) and An(T,u)=An(T,u)
for all u∈L0(E,Aσ,μ).
Therefore, An(T,f) do not converge a.e. on E, hence f∈/Cμ.
If μ(E)<∞, let E1={f=1}. Then, in view of (3), we have
[TABLE]
In particular, if g1=f⋅χE1−χE1=0, Theorem 2.2 implies that
there exists a surjective m.p.t. σ1:Ω=supp(g1)→(0,∞).
Repeating the argument as in the case μ(E)=∞, we complete the proof.
∎
Next we need a version of Theorem 3.1 for a totally atomic infinite measure space
with the atoms of equal measures.
If (Ω,μ) is such a measure space, then Ω={ωn}n=1∞,
where ωn is an atom with 0<μ(ωn)=μ(ωn+1)<∞ for all n.
In this case, the algebra L0(Ω) is isomorphic to the algebra of sequences of real numbers,
the algebra L∞(Ω) is isomorphic to the algebra
[TABLE]
and the algebra L1(Ω) is isomorphic to the algebra
[TABLE]
As l1⊂l∞, we have l1+l∞=l∞. Note also that if
fk={αn(k)}n=1∞∈l∞ and f={αn}n=1∞∈l∞, then
[TABLE]
Theorem 3.3**.**
If (Ω,μ) is a totally atomic infinite measure space with the atoms of equal measures, then Cμ=Rμ.
Proof.
We need to show that if f={αn}n=1∞∈l∞∖Rμ, then f∈/Cμ.
As in the proof of Theorem 3.2, we may assume that
αn≥0 for every n, and t→∞limμt(f)=1. Identifying Ω={ωn}n=1∞
with N, it is clear that
[TABLE]
Besides, there exists α>1 such that the set
[TABLE]
is infinite.
Let 1=n0,n1,n2… be an increasing sequence of integers. Define the function φ:Ω→R(E,AE,μ) by
[TABLE]
[TABLE]
[TABLE]
Let τ:Ω→Ω be defined as
[TABLE]
Finally, define the linear operator T:l∞→l∞ by
[TABLE]
It is clear that T(l1)⊂l1, ∥T∥l1→l1≤1, and ∥T∥l∞→l∞≤1,
that is, T∈DS(Ω).
We have
[TABLE]
Further, since
[TABLE]
there exists such n2 that
[TABLE]
Repeating remaining steps of the proof of Theorem 3.1, we see that the sequence {An(T,f)(m1)}
does not converge, that is, f∈/Cμ.
∎
Finally, we establish Theorem 3.1 for a quasi-non-atomic measure space:
Theorem 3.4**.**
If an infinite measure space (Ω,A,μ) is quasi-non-atomic,
then Cμ=Rμ.
Proof.
We need to show that if f∈(L1+L∞)∖Rμ, then
f∈/Cμ.
Consider the complete Boolean algebra ∇μ={[E]:E∈A}.
There exists e∈∇μ such that e∇μ is a non-atomic and
(1−e)∇μ is a totally atomic Boolean algebra.
Since t→∞limμt(f)>0 and f=ef+(1−e)f,
it follows from the inequality
Assume that the number of atoms in (Ω,μ) is finite.
Then t→∞limμt((1−e)f)=0, implying that
t→∞limμt(ef)>0, hence
[TABLE]
By Theorem 3.2, there exists T∈DS(e∇μ) such that the averages An(T,ef) do not converge a.e.
Besides, Corollary 2.1 implies that there is T∈DS(Ω,μ) such that
[TABLE]
Next, defining the operator T∈DS(Ω,μ) by
[TABLE]
we obtain
[TABLE]
hence f∈/Cμ.
Let now (Ω,μ) have infinitely many items of the same measure.
Then there exists
e∈∇μ such that either e∇μ={0} is a non-atomic Boolean algebra and (6) holds or
(1−e)∇μ={0} is a totally atomic Boolean algebra with the atoms of equal measures and, with
e⊥=1−e,
[TABLE]
In the first case, we find T and define T∈DS(Ω,μ) as above and conclude that the averages
An(T,f) do not converge μ−a.e., that is, f∈/Cμ.
In the second case, we use Theorem 3.3 and repeat the preceding argument.
∎
4. Applications
Combining Proposition 2.1 with Theorems 2.1 and 3.4, we arrive at the following
characterization of the fully symmetric spaces possessing individual ergodic theorem property.
Theorem 4.1**.**
Let an infinite measure space (Ω,μ) be quasi-non-atomic.
Given a fully symmetric space E⊂L1(Ω)+L∞(Ω), the following conditions are equivalent:
(1)
E∈IET(Ω);
2. (2)
E⊂Rμ;
3. (3)
1∈/E.
To outline the scope of applications of Theorem 4.1, we present some examples of
fully symmetric spaces E such that 1∈/E or 1∈E.
Let Φ be an Orlicz function, that is, Φ:[0,∞)→[0,∞) is left-continuous, convex, increasing function such that Φ(0)=0 and Φ(u)>0 for some u=0 (see, for example [5, Chapter 2, §2.1]). Let
[TABLE]
be the corresponding Orlicz space, and let
[TABLE]
be the Luxemburg norm in LΦ. It is well-known that (LΦ,∥⋅∥Φ)
is a fully symmetric space.
Since μ(Ω)=∞, if Φ(u)>0 for all u=0, then
∫Ω(Φ(a1))dμ=∞ for each
a>0, hence 1∈/LΦ. If Φ(u)=0 for all 0≤u<u0, then 1∈LΦ.
Therefore, Theorem 4.1 implies the following.
Theorem 4.2**.**
Let (Ω,μ) be an infinite measure space, and let Φ be an Orlicz function.
If Φ(u)>0 for all u=0, then (LΦ,∥⋅∥Φ)∈IET(Ω). If (Ω,μ)
is quasi-non-atomic and (LΦ,∥⋅∥Φ)∈IET(Ω),
then Φ(u)>0 for all u=0.
A symmetric space (E,∥⋅∥E) is said to have an order continuous norm if
[TABLE]
If E is a symmetric space with order continuous norm, then
μ{∣f∣>λ}<∞ for all f∈E and λ>0, so E⊂Rμ; in particular, 1∈/E.
Let φ be an increasing concave function on [0,∞) with φ(0)=0 and
φ(t)>0 for some t>0, and let
[TABLE]
the corresponding Lorentz space.
It is well-known that (Λφ,∥⋅∥Λφ)
is a fully symmetric space; in addition, if φ(∞)=∞, then
1∈/Λφ and if φ(∞)<∞, then
1∈Λφ.
Another application of Theorem 4.1 yields the following.
Theorem 4.3**.**
Let (Ω,μ) be an infinite measure space, and let φ be an increasing concave function on [0,∞) with φ(0)=0 and
φ(t)>0 for some t>0. If φ(∞)=∞, then Λφ∈IET(Ω).
If (Ω,μ) is
quasi-non-atomic and Λφ∈IET(Ω), then φ(∞)=∞.
Let E=E(0,∞) be a fully symmetric space. If s>0, let the bounded linear operator
Ds in E be given by Ds(f)(t)=f(t/s),t>0.
The Boyd indexqE is defined as
[TABLE]
It is known that 1≤qE≤∞ [8, Vol.II, Ch.II, §2b, Proposition 2.b.2].
Since ∥Ds∥≤max{1,s} [8, Vol.II, Ch.II, §2b], 1∈E would imply
Ds(1)=1 and ∥Ds∥=1 for all s∈(0,1), hence qE=∞.
Thus, if qE<∞, we have 1∈/E.
Bibliography10
The reference list from the paper itself. Each links out to its DOI / PubMed record.
1[1] C. Bennett, R. Sharpley, Interpolation of Operators , Academic Press Inc. (1988).
2[2] V. Chilin, D. Comez, and S. Litvinov, Pointwise ergodic theorems in symmetric spaces of measurable functions. Ar Xiv:1612.05802 v 1 [math.FA], 17 Dec. 2016, 16 pp.
3[3] N. Dunford, J. T. Schwartz, Convergence almost everywhere of operator averages, J. Rational Mach. Anal. , 5 (1956), 129-178.
4[4] N. Dunford and J. T. Schwartz, Linear Operators, Part I: General Theory , John Willey and Sons (1988).
5[5] G. A. Edgar and L. Sucheston, Stopping Times and Directed Processes , Cambridge University Press (1992).
6[6] S. G. Krein, Ju. I. Petunin, and E. M. Semenov, Interpolation of Linear Operators , Translations of Mathematical Monographs, Amer. Math. Soc. , 54 , 1982.
7[7] A. G. Kusraev, Dominated Operators , Springer Science & Business Media (2013).
8[8] J. Lindenstraus, L. Tsafriri, Classical Banach spaces I-II , Springer-Verlag, Berlin-Heidelberg-New York (1996).