A NNALES DE L ’I. H. P., SECTION C
R OGER J. M ETZGER
Sinai-Ruelle-Bowen measures for contracting Lorenz maps and flows
Annales de l’I. H. P., section C, tome 17, n
o2 (2000), p. 247-276
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Sinai-Ruelle-Bowen
measuresfor contracting
Lorenz maps and flows
Roger J. METZGER1
Instituto de Matematica y Ciencias Afines - IMCA, Jr. Ancash 536, Casa de las Trece Monedas, Lima 1, Peru
Manuscript received 11 March 1999
© 2000 Editions scientifiques rights
ABSTRACT. - We consider a
large
class of one-dimensional mapsarising
from thecontracting
Lorenz attractors for three dimensional flows: theeigenvalues ~,2 ~,1
0~,3
of the flow at thesingularity satisfy ~,1
+~,3
0(instead
of~,1
+~.3
> 0 as in the classicalgeometric
Lorenz
models).
Such flows were studiedby
A. Rovella who showed that non-uniformexpansiveness
is apersistent
form of behavior(positive Lebesgue
measure sets ofparameters). Using mainly expansiveness,
weprove the existence of
absolutely
continuous measures invariant under these maps, and from this fact we are able to construct Sinai-Ruelle- Bowen measures for theoriginal
flows thatgenerate
them. © 2000Editions scientifiques
et médicales Elsevier SASRESUME. - Nous considerons une classe
importante
de transformations uni-dimensionellesprovenant
d’ attracteurs de Lorenz contractants des flots en dimension 3 : les valeurs propres~.2 ~,1
0~,3
du flot aupoint singulier
satisfont~,1
+~,3
0(au
lieu de~,1
+~,3
>0,
commedans les modeles
geometriques
de Lorenzstandards).
Ces flots ont eteetudies par A. Rovella
qui
a montre que1’ expansion
non-uniforme a uncomportament persistant (ensembles
deparametres
de mesurepositive).
En utilisant cette
expansion non-uniform,
nous demonstrons 1’ existence1 E-mail: [email protected].
248 R.J. METZGER / Ann. Inst. Henri Poincare 17 (2000) 247-276
de mesures invariantes par ces transformations
qui
sont absolutement continues. De cefait,
nous deduisons 1’ existence de mesures SRB pour le flotsqui
les induisent. © 2000Editions scientifiques
et médicales Elsevier SAS1. INTRODUCTION
Sinai-Ruelle-Bowen measures, SRB or
physical
measures, are thosemeasures for what the Birkhoff averages converge to a constant for a
large Lebesgue
set. Moreprecisely:
iff :
M ~ M is a transformation on a manifoldM,
we call anf -invariant
measure p an SRB measure if there exists apositive Lebesgue
measure set ofpoints x
E M such thatand the set is called
(ergodic)
basin of attraction of ~~.For a flow
ft :
M -~ M the definition isLorenz flows are related to the
system
studied in[8],
as a truncation ofa Navier-Stokes
equation.
Guckenheimer and Williams[3]
introduceda
geometric
model calledexpanding
Lorenz attractor, in whichthey
suppose that the
eingenvalues ~,2 ~,1
i 0~,3
at thesingularity
of theflow
satisfy
theexpanding
condition~,1
+~,3
> 0. In[ 11 ],
theexpanding
conditions is
replaced by
thecontracting
one~,1
+~.3
0. Thegeneral assumptions
used to construct thegeometric models,
alsopermit
thereduction of the 3-dimensional
problem,
first to a 2-dimensional Poincare section and then to a one-dimensional map. These maps are also called Lorenz-like.We will prove the existence of a
unique
andergodic absolutely
continuous invariant measure
(a.c.i.m.)
for certain one-dimensional Lorenz-like maps(Theorem A).
Afterthis,
we will relate these results tothe case of flows and construct an SRB measure in this case too. Since the a.c.i.m. found for the one-dimensional case is
unique,
the SRB measureconstructed for the flow is also
unique.
We will use four
properties
of the one-dimensional Lorenz-like maps studiedby [11].
Moreprecisely.
Let I C[-1, 1 ]
be acompact
interval andf :
I ~ I be a map such thatf (I )
C I with adiscontinuity
at theorigin.
Setcf
=fk (x) for k >
0.So,
we willrequire f
tosatisfy
conditions
(AO)-(A3)
below.(AO)
Outside theorigen f
is of classC3
and withnegative
Schwarzianderivative,
and also satisfiesfor some constants
K 2
and s with s > 1.(Al)
>~,~ ,
forsome ~.~
>1,
and forn >
1.(A2)
> e-an some a smallenough,
and alln >
1.(A3)
For any interval J C I there exists a numbern (J)
> 0 such thatI*
Cf n (J) ( f
istopologically mixing
onI*
=cl ]).
Rovella in
[11]
showed the existence of a oneparameter family
of maps which exhibit conditions(AO)-(A2)
in a set ofparameters
ofpositive Lebesgue
measure. For aslightly
smaller class of maps it is also true that conditions(Al)
and(A2) implies
condition(A3).
This fact isproved
inLemma A. We work here with such a continuous
family
of maps, but thearguments,
and then theconclusions,
remains valid for alarger
class ofmaps with
negative
Schwarzian derivative and with a finite number ofnon
degenerate
criticalpoints.
It is clear from our definitions that if ~c is an
absolutely
continuousinvariant measure for
f
andergodic
then it is an SRB measure.Now,
wecan state our main theorem.
THEOREM 1.1
(Theorem A). -
Under conditions(AO)-(A3), f
ad-mits an
absolutely
continuous invariantprobability
measure. This mea-sure is
unique
andergodic.
The basic
strategy
is to reduce the non-uniformhyperbolicity
of thedynamics
of our maps to that ofpiecewise uniformly expanding
maps.That is what conditions
(A1)-(A2)
arefor,
which express a kind ofexpansiveness.
Condition(A3)
is usedprincipally
for theuniqueness.
The
techniques
used here resemble that of Viana[14]. Frequently,
wewill refer to this work for
proofs
that do not needmajor
modifications.The main difference in our
aproach
comes from the fact that our map is not continuous and also has two critical orbits. We overcome theprob-
lem
defining
the tower tokeep
track of bothorbits, resulting
in a towerextension with two blocks. It is also
possible
to work with maps that250 R.J. METZGER / Ann. Inst. Henri Poincare 17 (2000) 247-276
have more discontinuities or
singularities
ifthey
haveproperties
similarto
(AO)-(A3).
SRB measures were first
proved
to exist for Anosovsystems [13]
andthen for
general uniformly hyperbolic diffeomorphisms [12]
and flows[1].
For thesesystems
there arefinitely
many SRB measures ~c 1, ... , and their basin of attractions coverLebesgue
almost all thephase
space M.Moreover, they
arestochastically
stable(see
Kifer[5,6]).
The sameis true for the
expanding
Lorenz attractor asproved
inChapter
4 of[6].
We shall show that the
contracting
Lorenz atrractor is alsostochastically
stable in a
forthcoming
work. Here is to bepointed
aut that J. Palisconjectured
that everydynamical system
can beapproximated by
anotherhaving only finitely
many attractors,supporting physical
measures thatdescribe the time average of
Lebesgue
almost allpoints,
and that the statisticalproperties
of this measures are stable under small randomperturbations,
see[9,15].
In that sense ourpresent
and next works can be seen as a contribution to, or at least as anexample of,
Palisconjecture.
Theorem A is
proved
in Sections 2through
5. In Section 6 we will establish some results ondecay
of correlations. This is made tocomplete
the
description
of thedynamics
of the one dimensional mapf.
In the lastsection,
we will concluderelating
this result to thecontracting
Lorenzattractor.
2. SETTINGS
For our constructions and
proofs
we need several constants, let us fix them here.First,
suppose that the constant a in(A2)
has been taken smallenough
so that~~/S.
In order to construct the towerextension,
we fix~8
G( (s
+sal(s - 1)),
and £ > 1.Up
to herethese constants are
enough
for thedefinitions,
but we will need other constants to establish theexpanding
behavior of our tower extension. Let p > e" such that >Àp,
and also let 1 oro and 0~ ~o ~
where ao E
( 1, ~,)
and80
is much less than a. These constants aregiven by
Lemma 3.1 later on this section.Our next
step
is the definition of the tower extension(cf. [14]).
Themain feature of the tower is that it transforms our map
f,
which is notuniformly expansive,
to amap /
that isuniformly expansive.
Forthis,
set
Bo
= I andBt
=[ck - e-f3k, ct
+ for eachk >
1. We letEk
=Bk
x(k }
and set I =Ek )
UEk )
UEo.
Note that thecritical
point
0 is not contained inj5~
for1,
since(A2) implies
>
>We want to define
f : I -~ I
to be a tower extension in the sense of[14]. But,
since our initial map has adiscontinuity,
we should establish that apoint (x, 0)
which isready
to ’climb a level’ should go up to levelE 1
if x >0,
and to levelE 1
if x 0.The
precise expression for f’ (x, k)
is thefollowing:
Typically,
apoint (x, 0)
moves around in theground
levelEo
for awhile until it hits
(0, 03B4)
x{ o }
or(-03B4, 0)
x{ o }
at sometime m
0. Thenit starts
climbing
the tower in thefollowing
waywhere E
E~
iff m (x )
0 and EEj
iffm(x) > o.
Unless
f m (x)
coincides with the criticalpoint 0,
theinteger n
is finiteand in the next iterate the orbit falls back to the
ground level,
thatis, (x, 0) = (x) ~ 0).
Observe that we must haven > H ~
for some
integer H (~ ) >
1 which can be madearbitrarily large by choosing 8
smallenough.
Now we define the
cocycle First,
we setwo(x, 0)
= 1 for everyx E
Bo.
Given anypoint (x, k)
EEk , k > 1,
there are twopossibilities:
(1)
Thereexists z with [
~ such that/~(z, 0) = (x, k),
in whichcase we define
It’s easy to see that if z exist then it is
unique,
and has the additionalproperty that z
0 if(x, k)
EE:
and z > 0 if(x, k)
EEk .
(2)
There is nosuch z,
in which case wesimply
setk)
= 0.For each
k >
1 we shall denoteWk
={x
Ewo(x, k)
>0}
andWo
={x E Bo : 0)
>0} (i.e., Wo
=Bo).
252 R.J. METZGER / Ann. Inst. Henri Poincare 17 (2000) 247-276
Note that every
We
is an interval whose closure contains We also writeNow,
we associate to 03C90 the Borel measure mo = 03C90m where m is theLebesgue
measureon /.
Moreover if we denote( . ~
the metric in1
inducedby
the standard metric inI,
we can associate to c~o the Riemannianmetric [[ . II
(x,k) =wo(x, k) I
It results from the definition that c~o and mo are both
supported
on thesubset W.
Reflecting
the fact thatpoints
inIBW are
transient for/,
andplay
no role as far asasymptotic
behavior is concerned. Let us note that certainpoints
in theground
level are alsotransient, specifically, /(W)
does not intersect
{ ( f ( - b ) ,
U(ct, f ( ~ ) ) }
x{ 0 } .
In order to seethis,
if there exist(x, k)
E W such thatthen
f (x)
E( f (-S), cl)
U(cl , f (~)),
and in that case we must havex E
(-03B4, 03B4)
if 03B4 > 0 is smallenough
so thatc2 f(-03B4) cl
andcl
f(8)
In order to have/(x, k)
EEo
we must have k + 1 >/7(~).
Assume that
so that
then,
since x EBk
n( - ~ , ~ ) ,
the intervalBk
must be contained in(-(16K1)-l~~s-1~, (16K1)-l~~S-1>)~{0~,
and we haveso
1 / 16
for every y EBk .
On the other
hand,
from the fact thate~
2 we havewhich means that
f (x, k)
Econtradicting
the choice of(x, k).
Now,
for anypoint (y, l)
such that/(y, l)
EW,
we setClearly, g ( y, l )
> 0 with this definition.Moreover,
when(y, l )
EW, 1 /g ( y, l )
is the Jacobianof /
at(y, l),
withrespect
to themetric [[ . [ (or equivalently,
withrespect
to the measuremo).
Now, given
a measurable function:1 -~
M we defineNow we define the B V-norm of ~p as
and BY =
{~p : I ~ II~:
With thisdefinition,
it is clear that B V is a Banach space.Finally,
wedescribe
the transfer operatorLo
associated to/.
Givencp E B V and
(x, k)
EW,
we setObserve that
for k
= 0 there may beinfinitely
many terms. Then weextend to
/BW by asking
that it be constant on each connected component of foreach k >
1.More
precisely,
let akbk
be theendpoints
of the interval thenwe define
This definition is made so that and sup
( are
not affectedif we restrict ourselves to W. The variation of over
Et-
coincides254 R.J. METZGER Ann. Inst. Henri Poincare 17 (2000) 247-276
with the variation of over
wt
and a similar fact is true for thesupremum of Of course the same holds
for ~ £003C6 dmo
because mois
supported
on W. Inparticular,
theduality
relationwhenever the
integrals
make sense, is not affectedby
this convention.Clearly, LO
is anonnegative operator,
in the sense that it mapsnonnegative
functions tononnegative
functions.So,
relation(1)
alsoimplies
thatLO
is notincreasing
withrespect
to the that is3. EXPANSION LEMMAS
In this section we state two
key
lemmas on theexpanding
behavior of certain iterates of the mapf. They
are formulate in the same form as[14],
becausethey
are also true for the maps we areconsidering
here.LEMMA 3.1
(Vi 5.2). -
There are constants ao >1,
b > 0 and~o
> 0such that
for
any 0~ ~o
there isc (~ )
> 0 suchthat, given
any x E I(1) i.f x~ .f (x)~ ... , (-~~ ~)
then( f n)’(x) >
(2) if in addition, f n (x)
E(-~, ~)
then( f n)’(x) >
Proof -
It wasproved
in other formby
A. Rovella in[11],
see Lemma1, 1.1,
1.2 and theirproofs,
in the mentioned article. DNow,
we take the constant 8 in the definition of the tower,satisfying 0 ~ ~o,
and fix a E(l, ~o],
and we haveLEMMA
3.2(Vi 5.3). -
There is a constant C > 0 such thatfor
any(i) if (z) - for
every 1 then(ii) if
inaddition, (z) -
thenwhere M =
K2.
And similar results hold
ifz
E(0, ~) (z) - c~ ~
Proof -
Let usproof part (i).
First of all note thatso we
only
have toget
a uniform bound forNow, f
hasnegative
Schwarzian derivativein Bj
since0 fj B~ _ [c~ - cj
+ and aslong
asf ~ (z)
EB J
we have thatThen from condition
(AO)
we obtain:. The
right
side is boundedprovided
that~B
> a(remember
we havechosen
(s/(s - l))of
>~8
>((s
+1 )/s)a,
so~B
>a).
This provespart (i).
Now,
to provepart (ii),
first observe that the first claim in(ii)
is a directconsequence of
part (i)
and(Al).
The second one can be obtained asfollows. Let z and k be as in the statement, then
We can estimate the value
of Izl
from theinequality
256 R.J. METZGER / Ann. Inst. Henri Poincare 17 (2000) 247-276
!
for
some §
E( f ( z ) ,
from the Mean Value Theorem. Forthis §
thereexists y
satisfying
the conditions inpart (i)
and such thatf (y) _ ~ .
Thelast
inequality
is due to(AO).
So theinequality
above is a consequence of the Mean Value Theorem andpart (i).
Rewriting
theequation,
it stands that:Combining
this lastinequality
with(2)
we obtainSince
,8 (s/(s - l))a
and~,~~5 ~
e-a >~,p
we haveleading
towhere M =
K2.
This end the
proof
of Lemma 3.2. DWe denote
by
thepartition
ofI
intomonotonicity
intervals offor n > 1,
and characterized in thefollowing
way: Forevery k > 1,
setLet be the two connected
components
of thatis, points
inUk
are sentby f
to an upper level of the tower, whereaspoints
in U are
mapped
down to theground
levelEo.
For k = 0 weset
Then we set
Now,
for any n >1,
we set to be the n th iterateby / of ~ ~ 1 ~ ,
thatis,
for each 0 i
n.From now on, we will
always
assume that every ~ E haspositive length. Moreover,
the intersectionof ~
with W is eitherempty
or an interval withpositive length.
Note that in order to have this it suffices thatthe /-orbits
ofpoints
be
two-by-two disjoint injective
sequences on7B
which canalways
beobtained
by slightly modifying ~6
and a if necessary(so
as to avoid acountable set of relations
involving
these twoconstants).
It follows from our definitions that if
(jc,~)
et/~
nW, ~ ~ 1,
andz e
(-~, ~)B{0}
such that/~(z, 0)
=(x , ~),
thenThe same is true if
(x, 0)
E(-~, ~) = Uo
UUo .
On the other
hand,
if(x, k)
is inDk
nW , k > 1,
and z as before( Dk
here means some of the or then
The last
inequality
is consequence of Lemma 3.2.Observe
that k > H(8),
whereH(8)
is the minimumheight
fromwhich orbits in
(-~, S)
x{o}
can fall down toEo (see
Section 5.3 in[14~).
We suppose that 8 is
small,
soH(8)
islarge
andimplies (C/M) p-k
1 /~,
1.Therefore, g (x, k)
1 in all the situationsabove,
which express theuniformly expanding
character of/,
because1 /g
acts as theJacobian
of / respect
to m o .258 R.J. METZGER / Ann. Inst. Henri Poincare 17 (2000) 247-276
We shall also need the iterated version
gn
of g, which is definedby
for
every £ = (x, k)
such that/~ (~)
E W for 1~ i
n.The
following
three lemmas will be stated withoutproofs
becausethey
are similar to the
corresponding
lemmas in[ 14] .
LEMMA 3.3
(Vi 5.4). -
(1)
Let y E be suchthat f’ (y )
CEo for
every n. ThenMoreover, var03B3g(n) 2 supy
(2)
Let y C r~ CW for
some r~ E and let0 C
lmin{k,
n -1 }
be such that
,f’(y)
Cfor 0
i l andf (y)
CE0 for l
i n.Then
Moreover,
2sup03B3 g(n).
(3)
Let y C r~ n Wfor
some r~ E and let 1 > 0 such thatf l (y)
EEl+i for 0 ~
i n then _ ~,-n on y.LEMMA 3.4
(Vi 5.5). -
There is C > 0and, for
each n >1,
there isC
(n)
> 0 such thatfor
every ~p E B V and every interval ACEo,
LEMMA 3.5
(Vi 5.6). -
Given any or E(1, a )
there .is C > 0 such that:for any function
cp E BVand for all
n ~ 1 .4. THE MIXING PROPERTY
We establish
(A3)
in order to make clear that amixing property
is needed to showuniqueness
of the measure and stochasticstability.
However,
in ourpresent setting,
this can be chosen to be a consequence of(Al)
and(A2)
asexplained
below.In
[11]
it isproved
that a one-parameterfamily
of mapssatisfying
condition(AO)
amongothers,
has apositive Lebesgue
measuresubset E C
[0, 2)
such that for all a EE, fa
satisfies(Al)
and(A2)
with0 G E as a
point
ofdensity.
This subset can be chosen tosatisfy (A3), i.e.,
the
following
is true.LEMMA 4.1
(Lemma A). - In a
smallenough neighborhood of
thedensity point, iffsatisfies (A 1 )
and(A2)
then itsatisfies (A3).
This makes our construction more relevant since it shows that that conditions
(A1)-(A3)
are satisfied for alarge
set offunctions,
say, for maps in apositive Lebesgue
measure set in a oneparameter family
ofmaps.
Lemma A seems Lemma 2.1 in
[ 16]
so we needproperties
similar toPI and P2 of
[16]. Property
PI is the same as Lemma 3.1 andProperty
P2 is the contain of Lemma 4.2. To show P2 we need some
previous
definition that will be use
only
for theproof
of Lemma A.Let
Im = em)
for m >0,
letIm = - I_m
for m0,
andDEFINITION. - Let
p(m)
be thelargest integer
p such thatand
for j
=1,
..., p and x EIm . ’
The time interval
1,
...,p (m )
is called the boundperiod for Im .
LEMMA 4.2. - For each
~m ~
>Op(m)
has thefollowing properties.
(a)
There is a constantC1 (a, ,8)
such that: ,(i)
260 R.J. METZGER / Ann. Inst. Henri Poincare 17 (2000) 247-276
where K =
(~
+ +s)/(,B
+log 4).
where p =
p (m ) and for
x EIm .
Proof - Suppose
y E[cl , (for
y E theproof
issimilar).
The
proofs
ofparts (a)
and(c)
are easy consequence of Lemma 3.1. Sowe
only
have to prove(b).
For x E
Im
wehave, assuming m >
0 to fixideas,
for some y E
f (x)]
C[-1,
so,So we have the
following
bound for p,that
is,
If m is large enough
we canwrite,
For the other
inequality,
from the definition of p, there must exists a z EIm
such thatSupposing
thatf’ C 4,
weobtain,
so
which
implies
thatProof of Lemma
A. - In[ 16],
it was used the fact that the fixedpoint
ofthe map
f
in I has densepre-images.
We do not have this fixedpoint
forf
but we have one forf 2 (i.e.,
we have twoperiodic points
ofperiod two). Now,
observe that ourfamily
of maps can be chose so that wehave this fixed
point
forf z
with densepreimages,
asrequired
in thearguments
of[16].
This is due to the fact that thefamily (and
also thepositive Lebesgue
measure setsatisfying (Al)
and(A2))
has as apoint
ofdensity
a map which isconjugated
to the transformation x ~ 2x modZ.So the conclusion remains valid. D
5. ABSOLUTELY CONTINUOUS INVARIANT MEASURES Before
going
into theproofs
of our mainresults,
we need thefollowing
lemma
262 R.J. METZGER / Ann. Inst. Henri Poincare 17 (2000) 247-276
LEMMA 5.1
(Vi 5.7). -
The measure mo = 03C90m is afinite
measureon I.
Proof -
It is clear thatmo (Eo)
=m (Eo)
=m (I )
is finite.Moreover,
for
each k >
1where z E
( - ~ , ~ )
isuniquely
definedby 0) = (x, k ) .
Wechange variables z
=fk(x),
and weget
where
Yk = {z
E(-8,0): f k(z)
E andYk
={z
E(o, ~): f k(z)
EWk } .
Next,
we observe thatwhere the third
inequality
is a consequence of(AO)
and(Al). Replacing above,
andrecalling
that we have chosen >ea Àp
we obtain thatfor
every ~ ~
1. Since we chose p > 1 the claim follows immedi-ately.
DTHEOREM 5.1.- The maps
/
andf
haveabsolutely
continuousinvariant measures
/lo
and ~orespectively.
Proof -
Theproof
of this theorem is contained in[14].
DThe
arguments
in[14]
assure that~o
has aunique
fixedpoint
~o in BV. This function is thedensity
of/lo
withrespect
to mo. Weonly
make a remark on the fact that we are
using
thearguments
that provethe existence of the measures. We are left to prove that ~co is
unique
inthe space of
f -invariant probability
measuresabsolutely
continuous withrespect
toLebesgue.
To provethis,
we first observe that the measure ~co haspositive Lyapunov exponents
for a.e. x in l.THEOREM 5.2. - The measure po is
ergodic
and it is theunique f
invariantprobability
measureabsolutely
continuous with respect toLebesgue.
Proof -
Since 0 haspositive Lyapunov exponents
a.e. and satisfies(A3),
we can use a theorem due toLedrappier [7]
in the form ofpart (3)
of
Proposition
3.3 in[ 16]
to assert that po is measuretheoretically mixing
and so it is
ergodic.
We claim that ~co is
equivalent
to theLebesgue
measure m onI*
=[cl , cl ].
This can be seen asfollows;
since ~o has BoundedVariation, and ~03C60 dm0
=1,
there is some intervaly G W,
such that> 0 so the
density
of~co
withrespect
to the usuallength
isbounded away from zero on y, as a consequence,
d 0/dm
> 0.On the other
hand, (A3)
ensures that =I*
for someN >
1.Therefore
which
implies
our claim.Now,
let v be anyf -invariant probability
measure which isabsolutely
continuous with
respect
toLebesgue
measure. It is easy to see that thesupport
of v must be contained inI*,
and so v « isequivalent
tom on
I* ).
It follows that v = ~co becauseergodic
measures are minimal for the absolutecontinuity
relation. That provesuniqueness.
Now, joining
Theorem 5.1 and5.2,
Theorem A isproved.
DFinishing
this section we prove aproperty
of thesupport
of the function SetLEMMA 5.2
(Vi 5.9). -
Thedensity
~posatisfies
(1)
>0;
(2) inf(03C60|W±k)
>0, for
everyk >
l.Proof - Let
yl C W be an interval such that > 0.By
the
topological mixing assumption (A3),
there exists 0 such that264 R.J. METZGER / Ann. Inst. Henri Poincare 17 (2000) 247-276
=
I*
-cl ].
Inparticular, (yl))
contains the fixed
points
off 2, namely
pi 1 and p2 with pi 1 > p2 .Moreover,
up toslightly modifying ~8
if necessary, we may suppose thatno
endpoint
of levelsEt, for k >
1projects
down to pi, nor p2. Then there exists an open interval y2 C such that contains pl .Clearly
must contain pifor every n >
0.Now,
suppose thatct
forevery k >
1 and for i =1,
2. If this is not true, wesimply replace
=1, 2} by
anotherperiodic
orbit notintersecting ( - ~ , ~ ) ,
and the
argument proceeds along
the same lines. Now we havethat,
there exists some finite time
n2 > 0
such thatf Zn2 (~ )
=(pi, 0),
where~
E Y2 satisfies~c (~ )
= pi.Up
to anotherarbitrarily
small modification offJ,
we may suppose that the orbitof £
does not passtrough
any of theboundary points
of themonotonicity
intervals in~~1~ .
Thereforef 2~2 (~ (Y2))
contains some openneighborhood
y3 of(pl , 0)
inEo.
Letn 3 >
0 be the minimum time such thatf 2n3 (~z (Y3 ) )
intersects( - 8 , ~ ) .
Hence
Set al
=f([8, pl ] x f ~~) _ [.f (~) ~ p2]
x so c~l c wheren = n 1 --~
2n 2 ~- 2n 3 .
Now,
with similararguments
we can set a2 =f ([p2, -8]
xf 0~) _
[ pl , f (-~)]
x with theproperty
that o-2 C with m =n +
2m 2
+2m 3 ,
for some m 2 and m 3 . Set also a3 =( p2 , p 1 )
and notethat
f(al U a2)
contains a3.Now,
since ~po is a fixedpoint
for the transferoperator
associatedto
f ,
we have that > 0implies
that >0,
thus> 0 for i =
1, 2, 3,
andpart (1)
followsimmediately.
Moreover, given ( y , k )
E1,
and z E( - ~ , S )
such thatwhich proves
part (2).
This last relation also
yields
another usefulconclusion, namely
and so
leading
toNote that Lemma 5.2
implies
thatWs
C supp 03C60 and from thissupp
03C60 =Ws,
since 03C60 =£n03C60 implies
that 03C60 isidentically
zero onIBfn(I)
forevery n >
1 and discussion on p. 6implies
thatU~ ~ fn(I)
cWs .
D6. DECAY OF CORRELATIONS
In this section we prove that the measures
~co
and that we havejust constructed,
are exact, and so, alsomixing,
for thecorresponding dynamical systems j
andf, respectively,
in the same lines as stated inProposition
5.13 of[14].
As a consequence, the transferoperator Lo
isquasi-compact
and bothsystems (/,
and( f,
haveexponential decay
of correlations incorresponding
spaces of functions with bounded variation. Thisproposition
alsoprovides
anotherproof
of theergodicity
of po
(besides implying
that~co
is alsoergodic).
We are notgoing
toprove the
equivalent
ofProposition
5.13 of[14],
because it follows thesame
arguments, provided
that we prove someprevious
lemmas. Beforeproving
theselemmas,
let us make some conventions that will be usedthroughout
this section. Setand also denote
by ak
the set ofboundary points
of the elements of thepartition
Moreprecisely
266 R.J. METZGER Ann. Inst. Henri Poincare 17 (2000) 247-276
and for
each k >
1Therefore
ak
can beexpressed
as followsObserve that each
1,
contains at mosteight points.
Now, for n 1, N
1and ~
e let be the sequencegiven by
/’ (~)
c for each I ~ 0.Let r > 0 be fixed and define
Q(n, N)
to be the subset of intervals such that:(i) !~’)! ~
N +(n -
for0 ~’
~. ’(ii) /~ (9~)
isdisjoint
from for every0 ~ ~
n .LEMMA 6.1
(Vi 5.10). -
Given ~ > 0 there existsN 0,
suchthat for
1 the set
Q(n, N) satisfies the following properties:
(1) for
every ~ ~Q(n, N),
we havefn(~)
~ GEk;
(2)
the0-measure of the
unionof the intervals ~ ~ Q(n, N) is at
most ~.
Proof -
The statement of this lemma is notexactly
the same as Lemma5.10 of
[14],
but it isequivalent.
Theproof
comesalong
the samearguments.
DLEMMA 6.2
(Vi 5.11). -
1 and s2 > 0 there exists ~1 > 0for I,
anyinterval ~
eQ(n , N),
and any borel c ~,Proof -
Most of theproof
is based on the same ideas as Lemmas 3.1and 3.2. The main new
ingredient
is to use condition(i)
+(n - i)T
in the definition ofQ(n, N), taking
T smallenough,
e.g., tlog ~,p/log
8.Suppose that ~
CEo
and CEo.
In this case we prove thatjn
has
uniformly
bounded distortion on ~(depending
onN,
but not on nor
yy).
Let us consider the sequence of iterates0 ~
~i ~i + /7i ~2... ~ defined
by
(a)
GEo
for0 j
b’1,for 03BDi + pi 7 03BDi+1
and 1i
r -
1,
andfor 03BDr
+ prj
n.(b)
G if/~)
G(-~0)
and G if03BDi (~)
G(0, 03B4), for 03BDi j 03BDi
+ and 1i r,
Let y = G I and x , y G I .
We first consider
0 ~ ~ Suppose x
y, sincef
hasnegative
Schwarzian derivative in y and from condition
(AO),
we havewhere xj
=fj(x),
and yj =fj(y).
But
(-~, ~) gives 1 /8
andfor some z E
f ~ (Y ),
whichimplies bcro 1 ~ I f ~ (Y ) ~ ] using
Lemma
3.1,
and leads toSimilar
arguments
showThus
268 R.J. METZGER / Ann. Inst. Henri Poincare 17 (2000) 247-276
And for the same reasons we have
for every 1
~ i
r -1,
and alsoNow, let j
= vi and denoteAi
=(y), 0). Thus,
Next,
weconsider 03BDi j 03BDi
+ pi . We areassuming
that C(-~, 0), therefore,
in this case we haveLet us see that the terms in the the sum are bounded
by ( y ) / 0 i .
Infact,
we havefor some z E y, more
precisely
z E[x, y],
as a consequence of the Mean Value Theorem.Now, the
Chain Rule and condition(AO) imply
On the other
hand,
for this z we haveThus we can write
Now, since vi j v~
+ pi , and z E[x, y]
C yTherefore
since E °
That is
since f3
> a.Interchanging
the roles of x and y in the abovearguments,
we haveThus, joining
all theparts,
we obtainof course
f n ( y )
const, thusfor each 1
~
i ~ r -1,
and from Lemmas 3.1 and 3.2.2.Now,
sincefpi(f03BDi ( y ) )
CD p -
we havewhich
implies (assuming
thatf’ 4)
270 R.J. METZGER Ann. Inst. Henri Poincare 17 (2000) 247-276
This last relation leads to
Now,
condition(i)
in the definition ofQ(n, N) implies pi =
N +
(n - vi -
N +(n - Vi)
and since we have chosen i =log 03BB03C1/log
8 ande03B2 03BB1/s c 2,
we obtainReplacing
in(9)
we conclude thatfn
has bounded distortion on yIn
equivalent
terms, has bounded distortion on ~ as we had claimed.In
particular,
in this case we may take ~l =(~2/m (I )) exp(-Kl ),
where1~1
> 0 denotes theright
hand term in(10).
Now,
theremaining
cases can be treatedeasily. If ~
.is not containedin
Eo
then we define(po
+1 ) >
1 to be the first iterate for whichThen,
wemodify
the first condition in(a)
to CEo
for po + 1
j Therefore,
the sumcan be estimated in
just
the same way as(6).
For
the sum over0 j
po it is used asimpler
version of(8),
sinceC if
k (o)
>0,
and ifk(O) 0,
and fork (o)
= 0we have to choose between