DE L ’U NIVERSITÉ DE C LERMONT -F ERRAND 2 Série Probabilités et applications
M. B INKOWSKA
B. K AMINSKI
Classification des automorphismes ergodiques et finitaires
Annales scientifiques de l’Université de Clermont-Ferrand 2, tome 78, sérieProbabilités et applications, no2 (1984), p. 25-37
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CLASSIFICATION DES AUTOMORPHISMES
ERGODIQUES
ET FINITAIRESM. BINKOWSKA et B. KAMINSKI
Dans ce
travail,
nous montrons quechaque système dynamique
ergodique
et finitaired’entropie
finie estisomorphe
ausystème
produit
formé d’une rotation et un schéma de Bernoul 1 i .CLASSIFICATION OF ERGODIC FINITARY SHIFTS
M. BINKOWSKA and B. KAMINSKI
~
Introduction
Adler,
Shields andSmorodinsky
have. shown in[1]
thatevery irreducible finite state Karkov shift is
isomorphic
to adirect
product
of, a rotation and a Bernoulli shift.In this paper we extend result tc a wider class of
shifts,
the so calledfinitary shifts.
These shifts are in- ducedby finitary processes
definedby
Heller in[41..-
He hasproved
that these processes include Markov chains and also func-tionals
of Markov chains. It isgiven
in(41
anexample
of aprocess,
which isfinitary
and is ’nov a functional ui a Markovchain. ~ ~ - . -
Robertson in.
[5]
has shown that everymixing
end finita-ry process is a
K,process.
The first author of this paper has
proved
in[2]
thatin fact every weak
mixing
andfinitary
process is weak Bernoulli.Thus
every weakmixing
andfinitary
shift isisomorphic
to a Bernoulli shift.Using the Heller and Robertson
representations
of sto-chastic processes /
cf.[4] ~~ ~
we theergodic
ii--nitary
shifts with the finiteentropy
up to§1. Preliminaries
Let
(I, $, /1)
be cLebesgue probability
m hean
authomcrphism
of(Y~~)
with the finiteentropy
andU T
bethe
unitary operator
defined onL 2 (X,,U)
Iby
the formulaLet Q = be a finite measurable
partition
ofX. The
pair ~T, Q~
will be called a process.Now we recall the notion of a
finitary
processgiven by
Hellerin [41
Let
Ay be
the free associativealgebra,
over the field R of realnumbers, generated by
I. we denote the linearfunctional on
,A.1
defined as follows. ’means the
empty
sequence inA-.
The
pair
said to be the Hellerrepresentation
of theprocess (T,Q).
Let
y,
be thelargest
leftideal
contained in the kernelof
PIO
It is easy to check that-
The process
(T,Q)is
said tc befinitary
if the vector space1/Nj
is finite-dimensional over R.We s ay that T i g a
finitary shift
if there e xi sts a ge-nerator Q
such that the process(T,Q)
isfinitary.
Now we the
concept
of aspectral representation
of a process
(T,C)
G.efi ned Robertsonin [6] .
A
triple iefl)
is said to spectralrepresentation
of(T,Q)
if(a)
H is acomplex
Hilbert space,.
(b)
e E If andIiell
=1,
(c)
for everyJCJ, E ieJ W.
is a contraction onH,
(d)
-.W*Te =e
whereWT
=(d) WTe
’ -.I.,,Te=-
e whereWT= ZiET wi t
A
spectril representation (H, e, {Wi, iGI 1) is
called areduced spectral representation,
orshortly
RSR of(T,Q),
ifthe linear
subspaces
aredense in H..-
we
shall
use in thesequel
aspecial
RSR of(T, Q),
called
by
us a standardRSR. of (T,14).
constructedby Robertson
in
[6j
in thefollowing
manner.Let U i
be the contraction on definedby
tne for-mula
r:Á =- i1 ...i
weput Ua=
U ... U ( n and for .. 1.... n
- i1... in ?
Ua
means theidentity operator.
’The
following equalities
are validLet
V~
andVT
be restrictions ofU~
andUT respectively
to
L~(j)
and let H~L~ ~(~(3~0 L2(p»)
where for closedsubpaces
..
It is
proved in [6]
that H= Sp
;:clear
thatW C4
= whereTTH
is theorthogonal projection
of onto H.
_
’
It is shown
in C6-1
that thetriple
isa RSR of
(T,Q) .
-°
§2. Algebraic properties
offinitary
shifts’
be a process, Q
=( Bi, ieI}
andc
bethe,
Let
(T,Q)
be a process,Q Bit ieI}
andAc
bethe
free associative
algebra.over
the field C ofcomplex numbers, generated by
I.’
We denote
by P Ithe complex
linear functional-defined by
the formulaIt is easy to check that the
largest
left idealNc
con-tained in the kernel of
Pj has
the formHence we obtain at once the
following
Remark. A
process isfinitary
iff the vector spa-ce is finite-dimensional over C.
.
Now,
let be a RSR of(T,Q)
and letH~ =
.
~c ~
Lemma 1.
The vector spaces andH I
areisomorphic.
Proof. Let
L~
=. It is clear thatLI
isthe linear
subalgebra
of thealgebra
of all linearoperators
of H. Medenote by
themapping
defined onIoo by
theformula
cpeco
~ thenlinearly
extended onAI.
It is an easy matter to see
q homomorphisni
ofAl
onto
L~.
Now we define a
mapping
f":b
It
is,
ofcouxse a homomorphism
of ontoHi 0
We shall show thatNcI =
ker f.From the
property (e)
of(H,e, I})
followsSince y
is ahomomo rphisa
we haveNow, by (f)
thesubspace
;: dense in H and so"This
equality
and the fact that IAc
f Iimply
the vectorspaces, and
HI are isomorphic,
whatcompletes
theproof.
Since every
finite-dimensional subspace
of a linear normed space is closed we have’at once thefollowing
.Corollary 1.
Thefollowing
conditions areequivalent
(i)
aprocess (T,Q)
isfinitary,
(ii)
for every RSR(H., e 1, (T,Q)
holdsdim
I! 00
,’
(iii)
there exists a RSR(H,e, {Wip (T,Q)
withdim Hc3 .
Corollary 2.A process is
finitary
iff thereexists a
spectral representa.tion (H~e~
dim Hco.Proof. In view of
Corollary
1it
isenough
to proveonly
thesufficiency.
,
Let a
spectral representation
of(T,Q)
with dim
H 00 .
1ie shall show that for any FcSRof
(T,Q)
holds dim H whereHsp
First
we shall prove thatThe first
equality implies
for every
je 00
-’ .for every
.Since and are
representa-
tions of the same
process
we have =e e
Thus we obtain ..
The fact that
Hf er
reducedimplies
theequality
let
lg t Hf
bethe mapping
defined as follows.For every
put
= thenif
islinearly
extended on H.From
the
above remark follows that themapping Y is
well defined. Since
v
is onto we obtain dimE >
dimHI> dim HI.
Now our
assumption implies
dim and so dimUsing
again Corollary
1 we obtain the desired result.Now,
letYEB be
such that TY = Y and 0.I"e consider the
dynamical system (y,
where
2y
=~y
andTy
=T
For apartition
Q of X we
put.Qy
=Q (’B Y .
Theorem 1. If T is
finitary
thenTy
isfinitary.
Proof. Let
Q
={Bi, ieI}
be a finitegenerator
for Tsuch
that theprocess is finitary
and(H,1,
the standard RSR of
(T,Q).
Theassumption
andCorollary
1yields dim Hoo.
SinceQy
is agenerator
forTy
it isenough
to provethat the process
( Ty, Qy)
isfinitary.
For we
put
and -Fly
=(H,~.)~).
Of courseWe assert
that.the triple liy y I
a spec-representation
of(Ty,Qy),
i.e. it satisfies theproperties
(a) - (e).
The
properties (a)
and(c)
are trivial. Since TY = Y wehave
U TXY = 7wy .
It followsfrom-lemma (5.1)
of[6]
that- and so It is clear that
y - 1
and thus (b) is ful-filled.
Theequality
TY = Y and the factthat X YE H C L2 imply
and
Where E denote. the
conditionalexpectation operator.
Hence(d)
is satisfied. It remains to prove .
e~ .
Let c4 =i1i2...i E
! ~ 2 n1~
.we have
easy
computation and , the equality
TY - Ygive
The
equalities (1)
and(2) imply
and so is a
spectral representation with
dimHyc)o Using Corollary
2 we obtain the resultsTheorem 2. If T is
finitary
thenTni s finitary, n>1.
Proof. Let Q a finite
generator
for T such that the process(T,Q)
isfinitary
andn>
1 be anarbitrary
na-n-1 -
tural numbers The
partition Qn
=V k=0 T-k Q
kis of
course,, agenerator
forT n
We shall, show that the process(Tn’ Qn) ’s
fi-nitary*
..Let
and(l£P*) be -the
Hellerrepresentations
of(T.9) respectively.It is’
clear that~=- Ajn~
We de-fine a map as follows. For every
we
put
and then we
*
extend
q on A linearly. It
is easy to see thatT
is aninj’ee-
tion. and
,T,o t hT c A and
gfic #be
the idealscorresponding
to p LetNI C AI
and the idealscorresponding
toP I
*
and
P respectively.
We shall check that .Let
nEI oo. Suppose
thelenght of rq
is k .Then we may write k
::. qn+l
wherec.1
arenonnegative integers
Thus where
~=
i . Letex.
be such that
Since u
isT-inva.riant, T i 8
ho-momorphism
and obtainby (3)
This means that and so
To prove the converse inclusion, let us suppose and
E*=y-1(E).
itis enough
to check that’*C- N’
LetUsing
the samearguments
as above and the factthat EE N I
wehave
the
equality (4)
isproved.
*Now we shall show that "-he vector space
A/N* is isomorphic
to
a subspace
of;IN,
* *
AI/NI
be a map which to a cosetCe] rA/N*
assigns
the coset From(4)
follows thatimplies [1(*;.:-)I= I,e. § is
welldefined. O is, of
course,a
homomorphism. Using again (4)
and the fact that(p
is one-to-onewe see
that ~
is-,one-to-one. HenceSince T
finitary
we have dim and thus dim’:,e, the process
(etqn)
isfinitary.
§3. Isomorphism
theoremLemma 2. If T is
finitary
then the number ofeigenvalues
of
U T
is finite.Proof. Let T be
finitary, fBigiGII
be a finite gene-rator
for T such that theprocess (T,Q)
isfinitary
and.
(H,1,.
be thestandard
RSR of(T,Q). Corollary
1implies
dim
Hoo
and so the set ofeigenvalues
of thecontraction WT
isfinite.
By
theorem(5.2)
ofevery eigenvalue h
of with=1 is an
eigenvalue
ofUT*
Thus the number ofeigenvalues
of
UT
is finite and the lemma is provedCorollary 5. Every totally ergodic finitary
shift isweak
mixing.
°
Proof* It is
enough
to show that 1 is theonly eigen-
value of
UT .
Let us suppose , on thecontrary ,
that thereexists which is also an
eigenvalue
of Since T is to-.
tally ergodic
the numbersn
n E Z form an infinite subset ofthe set of all
eigenvalues
ofUT.
But this is a contradiction to lemma 2.Since every weak
mixing finitary shift
isisomorphic
to a Bernoulli shift
(cf. ~2~
we have at oncethe following
. corollary 4.
Every totally ergodic finitary
shift isisomorphic
to a Bernoulli shift.~
-Definition.
We say that anautomorphism
T admits an-stack if there exists a set such that
,
.
n-1 i
. - .are
disjoint
a.e.We shall need in the
sequel
thefollowing
’
-Lemma 3. a T
admits a n-stack iff the nth roots ofunity
are proper values ofUTe -
Now,
let T be anergodic finitary
shift and let d =d(T)
denote
the number ofeigenvalues
ofU,.
. If p. is. a natural
number,
thenZ
denote the addi-ti ve- group of
integers
mod pequipped
with the measurem
1 p
ned
by
m(i)
= .. ,0
ip--1.
Let 0 =- 0 be the rotation. 011: Zned
by m i * (i)
Let be the rotation on:Z P
defined by
the p .Theorem 5. If T is an
ergodic finita.ry
shift withthen T is:
isomorphic to f d x P
wherej@
is a Bernoulli shift.Proof.
Theergodicity
of Timplies
the set ofeigenva-
lues ofUT
is acyclic
group of rank d. Thus. from lemma3
follows that T admits a
d-StD.c1,
i.e. there exists a setsuch
that aredisjoint d-I i Y - X
a.e.It is clear that
T d Y ::
Y. Let =T~ y .
The ergodicity
of Timplies Ty is ergodic.
Weshall
show thatt
infact, Ty
istotally ergodic.
Let us suppose, on the
contrary, that TdY
is not to-tally ergodic.
Hence there exists anatural
numberk>Z 2
andam
eigenvalue l=1
ofU T d
such thatl k =-l.
From lemma 3y
applied
to Y andTi
follows that there exists a setBCY
such
that(TdY)i
B= T id B,
aredisjoint
andT B =
id Y a.e. Hence(TiB, 0 i kd -1 )
is a kd-stack.-Appl-ying again,
lemma3:
.we that kdth roots ofunity
areeigenvalues
ofUT . But this,
in view of theinequality k>/ 2p
is
impossible.
Thus.5b£
istotally ergodic.
Since T
is -finitary,
theorem 2implies Td
is also fi-nitary~ Using.
theorem 1 toT
we see thatTi
isfinitary.
Combining
this with the fact thatTi
istotally ersodic
andusing Corollary
4 we concludeT£
is.isomorphic
to a Bernoullishift.
Now, proceeding
in tnp same way as in theproof
ofTheorem 2 we obtain the desired result.
_
From. theorem
3 easily
followsCorollary 5*
Twoergodic finitary
shifts are isomor-phic iff they
have the same number ofeigenvalues
and the sameentropy.
References
[1] R.L.Adler, P.Shields, M.Smorodinsky,"
Irreducible Markovshifts", Ann. Math. Statist.,1972,vol.43,No 3,1027-1029.
[2] M. Binkowska, "
Weakmixing finitary
shifts areBernoulli",
(to appear in Bull. Ac. Pol. : Math.)
[3] J.R.Blum, N.Friedman,"
Oncommuting
transformations androots", Proc.Amer. Eath. Soc., vol 17,
No6, 1966, 1370-1374.
[4] A. Heller
" On stochastic processes derived from Markovchains", Ann.Math.Statist.36 (1965),1286-1291.
[5] J.B. Robertson,"
Themixing properties of certain
processesrelated
to Markovchains", Math. Syst. Theory
vol7, No 1,
(1973),
39-43.[6] J.B.Robertson,
" Aspectral representation
of the statesof a measure
preserving transformation" ,
Z.Wahr.verw.Geb.27, 185-194 (1973).
M. BINKOWSKA and B. KAMINSKI Institute of Mathematics
Nicholas Copernicus
University Chopina
12/1887-100 TORUN Poland
Requ en Janvier 1984