A NNALI DELLA
S CUOLA N ORMALE S UPERIORE DI P ISA Classe di Scienze
J ÜRGEN P ÖSCHEL
A KAM-theorem for some nonlinear partial differential equations
Annali della Scuola Normale Superiore di Pisa, Classe di Scienze 4
esérie, tome 23, n
o1 (1996), p. 119-148
<http://www.numdam.org/item?id=ASNSP_1996_4_23_1_119_0>
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Article numérisé dans le cadre du programme Numérisation de documents anciens mathématiques
http://www.numdam.org/
for
someNonlinear Partial Differential Equations
JURGEN POSCHEL
Introduction
In this paper a KAM-theorem about the existence of
quasi-periodic
motionsin some infinite dimensional hamiltonian systems is proven. In
[5]
and[8]
thistheorem is
applied
to some nonlinearSchr6dinger
and waveequation
on theinterval
[0, x], respectively,
and we refer to these sources for motivation andbackground.
Here we concern ourselves with the basicKAM-theorem, wliich
is the very foundation of theseapplications.
The first theorem of this kind is due to Eliasson
[2],
whoproved
theexistence of invariant tori of less than maximal dimension in
nearly integrable
hamiltonian systems of finite
degrees
of freedom.Thereafter,
the result was extended to infinitedegrees
of freedomsystems by Wayne [10],
the author[7]
and, independently
of Eliasson’swork, by
Kuksin - see[4]
and the references therein. We refer to[4, 7]
for more historicalremarks,
and to[4]
for furtherapplications.
The relations of thepresent
paper to[4]
and[7]
will be discussed in the last section.1. - Statement of Results
We consider small
perturbations
of an infinite dimensional hamiltonian in theparameter dependent
normal formPervenuto alla Redazione il 28 Ottobre 1994 e in forma definitiva il 18 Febbrario 1995.
on a
phase
spacewhere T n is the usual n-torus with 1 n oo, and is the Hilbert space of all real
(later complex)
sequences W =(WI, w2, ...)
withwhere a > 0 and
p >
0. Thefrequencies w
=(wi , ... , wn)
and Q =(Qi , Q2, ...) depend
on nparameters
(E n c R, n a closed bounded set ofpositive Lebesgue
measure, in a way described below.The hamiltonian
equations
of motion of N arewhere
(Qu)j
=Qjuj. Hence,
foreach ~
E II, there is an invariant n-dimensionaltorus
To
= Tn x{O, 0, O}
withfrequencies w(~),
which has anelliptic
fixedpoint
in its attached uv-space with
frequencies U(~).
Hence?’on
islinearly
stable.The aim is to prove the
persistence
of alarge portion
of thisfamily
oflinearly
stable rotational tori under small
perturbations H
= N + P of the hamiltonian N. To this end thefollowing assumptions
are made.Assumption
A:Nondegeneracy.
Themap ç 1-+ w(~)
is alipeomorphism
between II and its
image,
thatis,
ahomemorphism
which isLipschitz
continuousin both directions.
Moreover,
for allinteger
vectors(l~, l)
C Z’~ x Zoo withand
where ] . I
denotesLebesgue
measure forsets, 111
=Ej I
forinteger
vectors,and
( ~ , ~ )
is the usual scalarproduct.
Assumption
B:Spectral Asymptotics.
There exist d > 1 and 6 d - 1 such that- -
where the dots stand for fixed lower order terms in
j, allowing
alsonegative exponents.
Moreprecisely,
there exists afixed, parameter-independent
sequenceS2
withSZ~ = ~ +...
such that the tailsfij
=Qj - Qj give
rise to aLipschitz
map -
where
tP. is
the space of all real sequences with finitenorm
=sup. IWjljP.
- Note that the coefficient
of jd
canalways
be normalized to oneby rescaling
the time. So there is no loss of
generality by
thisassumption. Also,
there is norestriction on finite numbers of
frequencies.
Assumption
C:Regularity.
Theperturbation
P is realanalytic
in the space coordinates andLipschitz
in the parameters, and foreach £
E n its hamiltonianvector space field
Xp
=(Py, -Px, Pv, -Pu)T
defines nearTo
a realanalytic
mapWe may also assume that
p - p b d - 1 by increasing
6, if necessary.To make this
quantitative
we introducecomplex Ton-neighbourhoods
where ] . I
denotes the sup-norm forcomplex
vectors, andweighted phase
spacenorms
for W =
(X, Y, U, V).
Then we assume thatXp
is realanalytic
inD(s, r)
forsome
positive s,
runiformly in ~
with finite normand that the same holds for its
Lipschitz
semi-norm’ ’ ’
where
Ag,Xp
=Xp(., ~) - Xp(’, ~-),
and where the supremum is taken over n.The main result
decomposes
into twoparts,
ananalytic
and ageometric
one, formulated as Theorem A and
B, respectively.
In the former the existence of invariant tori is stated under theassumption
that a certain set ofdiophantine frequencies
is notempty.
The latter assures that this is indeed the case.To state the main results we assume that
where the
Lipschitz
semi-norms are definedanalogously
tolxpil-. Moreover,
we introduce the notations
where T > n + 1 is fixed later.
Finally,
letTHEOREM A.
Suppose
H = N + Psatisfies assumptions
A, B and C, andwhere 0 a 1 is another parameter, and 1
depends
on n, T and s. Then thereexists a Cantor set
Ila
C II, aLipschitz
continuousfamily of
torusembeddings
(D : ~’~ x Ila - and a
Lipschitz
continuous map c,~* : R7, such thatfor each ~
inIIa
themap (D
restricted to T n X{~}
is a realanalytic embedding of
a rotational torus withfrequencies W*(~) for
the hamiltonian H atç.
Each
embedding
is realanalytic on llmxl ,
and2
uniformly
on that domain and IIa, where(Do
is the trivialembedding
Tn X II -Ton,
and cï-l depends
on the same parameters as ï.Moreover, there exist
Lipschitz
maps Wv andQv
on IIfor
v > 0satisfying
Wo = w,
QO=Q
andsuch that : "
and the union is taken over all v > 0 and
(k, l )
E Z suchthat Ikl > for
v > 1 with a constant
Ko >
1depending only
on n and T.REMARK 1. We will see at the end of Section 4 that around each torus there exists another normal form of the hamiltonian
having
anelliptic
fixedpoint
in the uv-space. Thus all the tori arelinearly
stable.Moreover,
theirfrequencies
arediophantine.
REMARK 2. The role of the
parameter
a is thefollowing.
Inapplications
the size of the
perturbation usually depends
on a smallparameter,
forexample
the size of the
neighbourhood
around anelliptic
fixedpoint.
One then wantsto choose a as another function of this
parameter
in order to obtain useful estimatesfor
See[5, 8]
forexamples.
REMARK 3. Theorem A
only requires
thefrequency map 1---+ w(ç)
to beLipschitz continuous,
but not to be ahomeomorphism
orlipeomorphism.
Thisonly
matters for Theorem B. -We now
verify
that the Cantor setIIa
is notempty,
and that indeedIITBITal I
- 0 as a tends to zero. In the case d = 1, let K be apositive
numbersuch that the
unperturbed frequencies satisfy
uniformly
on fl. Without loss ofgenerality,
we can assume that -6 Kby increasing 6,
if necessary.THEOREM B. Let Wv and
Qv for
v > 0 beLipschitz
maps on IIsatisfying
and
define the
sets as in Theorem Achoosing
T as in(22).
Then thereexists a
finite
subset X C Z and a constant c such thatfor
allsufficiently
small a, where p = diam rl. The constant c and the index setX are monotone
functions of
the domain TI:they
do not increasefor
closedsubsets
of
n. Inparticular, if
8 ~ 0, then Xc I (k, l ) :
0By slightly sharpening
the smallness condition thefrequency
maps of Theorem Asatisfy
theassumptions
of TheoremB,
and we may conclude that the measure of all sets tends to zero.COROLLARY C.
If
in TheoremA,
the constant 1 isreplaced by
a smallerconstant
1 ~ depending
on the set X, thenIn
particular, if
8 ~ 0, then one may takeThe
point
ofchoosing 1
is to make sure thatKo,
so that for(J~, l )
E .x weonly
need to consider the setsR k~ (a),
which are definedin terms of the
unperturbed frequencies. Then
~ 0 as a --+ 0by Assumption
A.In the
applications [5, 8]
theunperturbed frequencies
are in factaffine
functions of the
parameters.
In the case d > 1, as ithappens
in the nonlinearSchr6dinger equation,
we thenimmediately
obtain In the cased = 1,
however,
a appears with theexponent a.
1, and ithappens
that forthe nonlinear wave
equation
the present estimate is not sufficient to conclude that the set of badfrequencies
is smaller than the set of allfrequencies (which
also
depends
on a smallparameter).
Thefollowing
better estimate isrequired,
which we
only
formulate for the case needed.THEOREM D.
Suppose
that in Theorem A theunperturbed frequencies
areaffine functions of
the parameters. Thenfor
allsufficiently
small a, where 7r is any number in 0 7rmin(p -
p,1).
In this case the constant c alsodepends
on ~r and p - p.The rest of the paper consists almost
entirely
of theproofs
of thepreceding results,
whichemploys
the usual Newton type iterationprocedure
to handle smalldivisor
problems.
In Section 2 the relevant linearizedequation
isconsidered,
and in Section 3 one step of the iterative scheme is described. The iteration itself takesplace
in Section4,
and Section 5provides
the estimates of themeasure of the excluded set of
parameters.
In Section 6 some refinement of these measure estimates isundertaken,
and in Section 7 wefinally
observe that the resultsimply
that a certain class of normal forms isstructurally
stable. Thepaper concludes with a few remarks
relating
this paper toprevious work,
inparticular [4]
and[7].
2. - The linearized
equation
The KAM-theorem is proven
by
the usualNewton-type
iterationprocedure,
which involves an infinite sequence of coordinate
changes
and is described insome detail for
example
in[7].
Each coordinatechange C
is obtained as thetime-1-map
of a hamiltonian vectorfieldXF.
Itsgenerating
hamiltonian F as well as some correctionN
to thegiven
normal form N are a solution of the linearizedequation
"which is the
subject
of this section. One then finds that (D takes the hamiltonian H = N + R into H =N+
+R,,
where N+ = N +N
is the new normal form andR+ = 10 {(1 - t)N
+tR, F}
oXtFdt
the new error term.We suppose that in
complex
coordinates z= ~ (u - iv)
and i(u + iv)
we have N =
~w(~), y)
+(~(0, zz-)
andNF2 12-
with coefficients
depending on ~
E II, such thatXR :
~ pa,p is realanalytic
andLipschitz
in~.
The mean value of such a hamiltonian is defined asand is of the same form as N.
LEMMA 1.
Suppose
thatuniformly
on TI,where a > 0 and 1. Then the linearized
equation (F, N~
+N
= R has asolution F,
N
that is normalizedby [F]
= 0,[N]
=N,
andsatisfies
The estimates hold in fact with
101’1’-d -
inplace
of but thisslightly
better result is not needed later.
Concerning
thedependence
on u the aboveestimates are very crude but sufficient for our purposes. Much better estimates have been obtained
by
Russmann - see forexample [9].
PROOF.
Writing expansions
for F and1V analogous
to that for R andusing
the nonresonanceassumptions
one findsby comparison
of coefficients that1V
=[R]
andotherwise,
for all
~,
which is not indicated. With the chosen normalization this solution is alsounique.
For the estimates we
decompose
R =RO + R + R2,
whereRi comprises
all terms
with I q + q ) = j ,
and furthermorewhere the
Rij depend
on x,~,
andR°° depends
in addition on y. With a similardecomposition
of F andN,
the linearizedequation decomposes
intoand it suffices to discuss each term
individually.
In thefollowing
we do thisfor
R
=RIO
andR
=R".
To shortennotation, = 11 - IIa,p.
Consider the term
F’
=Fl°.
We haveR
= and thuswhere
D(s) = s } .
This is ananalytic
map into with a Fourierseries
expansion
whose coefficientsilk satisfy
the usualL’-bound
Each coefficient is a
Lipschitz
map n ~ and thecorresponding
coefficient ofF
isgiven by
By
the small divisorassumptions
wehave a/Ak
and thusIIFkl1
cuniformly
on 11. It follows thatTo control the
Lipschitz
semi-normof .
The small divisor
assumptions give Therefore,
and hence
Summing
up the Fourier series as before we obtainDividing I
andtaking
the supremumover çfç
in II we arrive atConsider now the term
F
=Fll.
Wehave R
=azazR,
henceby
thegeneralized Cauchy inequality
of LemmaA.3,
in the
operator
norm for bounded linearoperators
£a,p ~ £a,p. This isequivalent
to the statement that
8
= is a bounded linear operatorof £2
into itself with operator normIIIRIIID(s)
= where Vi, Wj are certainweights
whoseexplicit
form does not matter here.Expanding R
into its Fourier series with operator valued coefficient wehave,
asbefore, Lk 2nIIIRIIID(s)’
Thecorresponding
coefficient of8k
= isgiven by
while
80,jj
= 0, and the coefficients are absorbedby N.
The small divisorassumptions imply that
since d > 1.Hence, by
Lemma A.1 weobtain uniformly
in II, andsumming
up as
before, 3(Bl1 / a)IIIRIIID(s)’ Going
back to theoperator
normI I - I I
andmultiplying by z
we arrive atThe
Lipschitz
estimate follows the same lines as the one forF.
So wethe small divisor
assumptions imply
We thus obtain
and
This leads to
and
The terms
F1°
andF11
exhibit all the difficulties involved withinfinitely
many
degrees
of freedom. All the othercomponents F2~
admit the sameestimates,
or even better ones. To eachcomponent
of the hamiltonian vectorfieldXF,
at mosteight
such terms arecontributing.
The estimates ofXF
thus follow.The estimates of
XN
follow from the observation thatNy
is the T n -meanvalue of
Ry,
and is thediagonal
of the T n-mean value ofRzz..
For our purposes the estimates of Lemma 1 may be condensed as follows.
For A > 0, define _
Since we will
always
use thesymbol
’A’ in thisrôle,
there should be noconfusion with
exponentiation. Also, I. I;
stands foror I . If.
LEMMA 2. The estimates
of
Lemma 1imply
thatwith some absolute constant a. Moreover,
if
with some constant b > 1
depending
on n and T.3. - The KAM
Step
At the
general
v-th step of the iteration scheme we aregiven
a hamiltonianHv
=Nv
+Pv,
whereNv
=y)
+(Qt.(0? z2)
is a normal form andPv
isa
perturbation
that is realanalytic
onD(sv, rv).
Both areLipschitz
inç,
whichvaries over a closed set
rlv,
on whichIwvl.c
+Mv
andFor the duration of this section we now
drop
the index v and write ’+’for ’v + I’ to
simplify
notation.Thus,
P =Pv, P+ =
and so on.Also,
we write in estimates in order to suppress various
multiplicative
constants,which
depend only
on n and T and could be madeexplicit,
but need not be.Indeed,
theonly dependence
on T entersthrough
the constant b in(4).
To
perform
the next step of the iteration we assume that theperturbation
is so small that we can choose 0 1/
1
and 0 Q s, ~ 1, such thatwhere t = 2T + n + 2 and co is some
sufficiently large
constantdepending only
on n and T. On the other
hand,
for the KAM step we need not assume that thefrequency
map W is ahomeomorphism
orlipeomorphism.
Approximating
P. Weapproximate
Pby
itsTaylor polynomial
R in y, z, z of the form(3).
This amounts tocorresponding approximations
of thepartials Pz, Py, Pz, Pz
which constitute the vectorfieldXp.
Since P isanalytic,
allthese
approximations
aregiven by
certainCauchy integrals,
and the estimatesare the same as in a finite dimensional
setting.
We obtainSolution
of
the linearizedequation.
Since the small divisor estimates(5)
are
supposed
tohold,
we can solve the linearizedequation ~F, N} +.1V
= R withthe
help
of Lemmata 1 and 2.Together
with thepreceding
estimate ofXR
we obtainfor
0 a a/M.
Furthermore we have where on the left we use theoperator
norm’
with I - Ip,r
defined in(1),
definedanalogously.
This followsby
thegeneralized Cauchy
estimate of Lemma A.3 and the observation that everypoint
in
D(s - 2~, r/2)
has atleast I -
to theboundary
ofD(s -
0’,r).
Coordinate
transformation.
Thepreceding
estimates andassumption (6)
imply
thatis small. Hence the flow
4
exists onD(s - 3u, r/4)
t 1 and takesthis domain into
D(s - 2u, r/2),
andby
Lemma A.4 we havefor -1 t 1.
Furthermore, by
thegeneralized Cauchy estimate,
since any
point
inD(s - 4u, r/8) has ) - r -distance greater
thanu /32
to theboundary
ofD(s - 3u, r/4).
The new error term.
Subjecting H
= N+P to thesymplectic
transformation 0 = we obtain the new hamiltonian H = N+ + P+ onD(s - 5~, Tlr),
where N+ = N
+ N
and "with
R(t) = (I -
+ tR.Hence,
the newperturbing
vectorfield isWe will show at the end of this section that for 0 t 1,
We
already
estimatedXp - XR,
so it remains to consider the commutator[XR(t), XF].
To shorten notation we write R forR(t).
On the domain
D(s - 2u, r/2)
wehave, using
p > p,Using
thegeneralized Cauchy
estimate and(7)
we getSimilarly,
on the samedomain,
Finally,
we haveobtain
for any vectorfield Y. So
altogether
wefor 0 A
a/M. Collecting
all terms we then arrive at the estimate0 A
a/M,
for the new error term.The new normal
form.
This is 1rl. The same holds for their
Lipschitz
semi-norms. With-S p - p
we getIn order to bound the small divisors for the new
frequencies
w+ = w + Wand
Q+ =
Q +C2
forI
K, K to be chosenlater,
we observe that hencewith some â where
Ak-
= KAk
and the dotrepresents
some constant.
Using
the bound for the olddivisors,
the new ones thensatisfy
on n with a+ = a - a. In the next section we will make sure that a+ is
positive.
Proof of
estimate(12).
Fix (D =X-’F
and consider = o 1>. Then (D maps U =D(s - 5u,,qr)
into V =D(s - 4u, 2TJr) by
the estimate(9). Hence,
by (11)
and(9).
So we haveAs to the
Lipschitz
semi-norm~we observe
that both (D and Ydepend
onparameters.
Therefore,
It follows that
with W =
D(s - 211, 4?7r), using
thegeneralized Cauchy
estimate and(10), ( 11 ).
by (8)
and(9),
we obtainas we wanted to show.
4. - Iteration and Proof of Theorem A
To iterate the KAM step
infinitely
often we now choose sequences for thepertinent parameters.
Theguiding principle
is to choose ageometric
sequence for u, to minimize the error estimateby
choice of ?7, and tokeep
a and Messentially
constant.Let c 1 be twice the maximum of all
implicit
constants obtainedduring
theKAM step and
depending only
on n and T. For v > 0 setand
where
Furthermore,
andAs initial value fix so that and assume
where co appears in
(6). Finally,
let withITERATIVE LEMMA.
Suppose Hv
=Nv
+Pv
isgiven
onDv
xllv,
whereis a normal
form satisfying
on
flv,
andThen there exists a
Lipschitz family of
realanalytic symplectic
coordinatetransformations Dv+l
xnv
--~Dv
and a closed subsetwhere
such that
for Hv+1
=Hv 0
=Nv+1
+ the sameassumptions
aresatisfied
with v + 1 in
place of
v.PROOF.
By
induction one verifies that Ev for all v > 0.With the definition of Tlv this
implies
So the smallness condition(6)
of the KAM step issatisfied,
and there exists a transformationDV+l
xDv taking Hv
intoNv+1
The new error satisfies the estimateIn view of
(14)
theLipschitz
semi-norm of the newfrequencies
is boundedby -
as
required. Finally,
one verifies that henceSo
by (15)
the small divisor estimates hold for the newfrequencies
withparameter up
to Ikl Kv . Removing
fromIIv
the union of the resonance zonesfor Ikl > Kv
we obtain the parameter domain rlv+l Cflv
with therequired properties..
With
(10), (11)
and(14)
we also obtain thefollowing
estimates.ESTIMATES. For v > 0,
PROOF OF THEOREM A.
Suppose
theassumptions
of Theorem A are sa-tisfied. To
apply
the Iterative Lemma with v = 0, set so = s, ro = r,...,No
= N,Po
= Pand 1
= The smallness condition issatisfied,
because>
The small divisor conditions are satisfied
by setting
IIo l Then the Iterative Lemmaapplies,
and we obtain adecreasing
sequence of domainsDv
xnv
and transformations = o ... oDv
x Dv-1 I for v > 1, such that H o =Hv
+Pv. Moreover,
the estimate(18)
hold.To prove convergence of the we note that the operator
norm I - Ir,s
satisfies We thus obtain
and
for all v > 0.
Also,
where the first factor is
uniformly
bounded in a similar fashion. It follows thatSo the converge
uniformly on n Dv
xnv
=D(s/2)
xIIa
to aLipschitz
continuous
family
of realanalytic
torusembeddings C :
‘~n x IIa ~Pae,
forwhich the estimates of Theorem A hold.
Similarly,
thefrequencies
W, andSZv
convergeuniformly
onna
toLipschitz
continuous limits w* and with estimates as in Theorem A. The embedded tori are invariant rotationaltori,
becausewhence in the
limit, XH
= DC -Xw.
foreach ~
eTIa,
whereXw.
is theconstant vectorfield w* on 71.
It remains to prove the characterization of the set
TIa. By construction,
IIBIIa
is the union of theinductively
defined resonance zones forv > 0
and I
>Kv-i,
where the involvedfrequencies
wv,SZ~
areLipschitz
on and
K-1
1 = 0, 1-1-1 = n.By
LemmaA.2,
each coordinate function ofwv - w on
Hv
has aLipschitz
continuous extension to npreserving minimum,
maximum and
Lipschitz
semi-norm. Since we areusing
the sup-norm for w,doing
this for each component we obtain an extension Wv : R~ of wv with The sameapplies
to It follows thatThe latter are the resonance zones described in Theorem
A,
if wedrop
the ".This
completes
theproof
of Theorem A. ·Actually,
more information may be extracted from thepreceding
construction. On the domain D* x rl,,,, D* =
D(s/2, r/2),
the normal formsNv
converge to N* =(W* ( ~), y ) + (E2. (~), z2)
withfrequencies satisfying
on IIa .
Also,
the transformations (Dv converge to aLipschitz family
of realanalytic, symplectic
coordinate transformationsbecause each ~v is of first order
in y
and second order in z, zonly,
and thecorresponding jets
can be shown to convergeuniformly
onD(s/2)
xIIa
withappropriate
estimates - see[7].
The limitjet
then defines CP.Finally,
one checksthat
(D*XH
=XN. +X~,,
where R* is of order 3 at?’o .
Thatis,
theTaylor
seriesexpansion
of R*only
contains monomials with+
> 3.Thus,
theperturbed
normal form is transformed back into another normal form up to terms ofhigher
order. Inparticular,
thepreserved
invariant tori are alllinearly
stable.
5. - Measure Estimates and Proof of Theorem B
In
estimating
the measure of the resonance zones it is not necessary todistinguish
between the variousperturbations
wv andSZv
of thefrequencies,
since
only
the size of theperturbation
matters.Therefore,
we now write w’ and Q’ for all ofthem,
and we haveSimilarly,
we writeRii
rather thanRkl
for the various resonance zones.Let A =
11 :
12}.
We can fix a > 0 and a constant D > 1 such thatfor 1 c A where For
example,
one may take Q =min(d,
d-9
1 -
ö) )
and D= 2
2but
suchspecific
p choices are notimportant
p here.The
proof
of Theorem Brequires
acouple
of lemmata.LEMMA 3. There exists a
positive
constant,Q depending
on SZ such thaton rI
for
all l E 11,provided
PROOF. Consider the case
= S2i - QJ.,
which is the subtlest. As tothe
unperturbed frequencies, (l, Q) f0
on IIby assumption A,
anduniformly in ~ by assumption
B. Hence there exists a~3
> 0 such that~ (l, S2) ~ >
on II for all lEA. The result for theperturbed frequencies
then follows with
LEMMA 4.
If
and a~3,
thenwith
PROOF. If is not empty, then at some
point ~
in n, and thusby
Lemma 3. ·LEMMA 5.
If ~k~
>8LMlllö,
thenwith and p = diamn.
PROOF. We introduce the
unperturbed frequencies ~
=w(~)
as parametersover the domain A =
w (IZ)
and consider the resonance zonesR k
= in A.Keeping
the old notation for thefrequencies
we then have w = id,for the
perturbed frequencies
as functionsof ~ by (19)
and LM > 1.Now consider Let Choose a vector
such that and write with As
a function of r, we then
have,
for t > s,and
Hence, uniformly
in w. It follows thatwith ro
depending miserably
on w, and henceby
Fubini’s theorem.Going
back to theoriginal
parameter domain Ilby
the inverse
frequency
map andobserving
that diama 2Mdiamn and(l)d 19-1lkl,
the final estimate follows..Now let
where 3 and a are defined in Lemma 4 and
(20), respectively.
Assume a~3
from now on. The
preceding
three lemmata then lead to thefollowing
conclusion.The same holds
for 1~ ~ 0, l
= 0.PROOF. If is not
empty
and > L*, thenBut
if
L*,then Ikl > K*
alsoimplies Ikl
>8LMlllö.
So in both cases,Lemma 5
applies.
The case l = 0 followsdirectly
from Lemma 5..Next we consider the "resonance classes"
where the star indicates that we exclude the
finitely
many resonance zones with 0K*
and 0Illu
L*. Note that isempty
for k = 0 and a,~
by
Lemma 3.LEMMA 7.
If
d > 1, thenwith and
PROOF.
By
Lemma 4 we may restrict the star-union to(l)d 19-1lkl,
andsince
2(L)d >
The result now follows with Lemma 6. ·
Recall that for d = 1 we have a x > 0 and a constant a > 1 such that
LEMMA 8.
If d = 1,
thenPROOF. Write A = A+ U A-, where A- contains those l E A with two non-zero
components
ofopposite sign,
and A+ contains the rest. For 1 e A’ wehave
(1)d
=Ill,
hencecardfl
E A+ :(L)d 9-Zk2
andas in the
previous proof.
The
minus-case, however, requires
more consideration. For t E A- we have~l, SZ’)
= and= Ii 2013 ~,
and up to an irrelevantsign, l
isuniquely
determined
by
the twointegers
We may suppose thati - j
= m > 0. Then) (I, Q’ - S2) ~ c 0:(i6 + j6) and ~l, S2) -
ThereforeMoreover,
CQkmJo for j > jo.
For fixed m we then obtainBy choosing
either1d-6
=Ak
or =Ak,
whichevergives
the betterestimate,
andusing
theassumption 2013we
arrive atSumming
over m,The two cases
together give
the final estimate. · PROOF OF THEOREM B. We can choose T so thatFor
example,
Letting
we then obtainby
the definition of the resonance classesRk(a) with it
as in Theorem B anda constant c6 of the form where c does not increase when the
parameter
domain n decreases. Thisgives
therequired
estimate.Finally,
if6 0, then 2 for all 1 and hence K* 16LM. This proves Theorem B..
PROOF OF COROLLARY C.
By choosing %y -il2LM
thefrequencies
wvand
SZ~ satisfy
theassumptions
of TheoremB,
and thusChoosing,
in the definition thenalso in addition to
(17),
so the
remaining
resonance zones are all defined in terms of theunperturbed frequencies.
Hence,by Assumption A,
themonotonicity
of in a and theboundedness of 11, we
have
- 0 as a ~ 0 for each(k,l)
e X . Sincex is
finite,
also I ,which
gives
the claim.Finally,
if 6 0, then K* 16LM. ~6. - Proof of Theorem D
To prove Theorem D we
precede
the KAM iterationby
one modifiedKAM step. For this
preparatory
step the small divisor estimates(5)
are usedwith a parameter 4
where w > 0 is chosen later.
Moreover,
for(l, Q)
=S2i - Qj, if j,
we use themodified estimate
with
positive
7r p - p. Theupshot
is that the measure estimates areimproved
at the expense of
deteriorating
theregularity
of the vectorfield.Using
the modified small divisor estimates in the solution of the linearizedequation
we obtainSince & > a, the KAM step
applies
under the sameassumptions
asbefore,
butnow the estimates of
XF
are to be understood in terms of the weaker normAccordingly,
the vectorfield of the nextperturbation Po -
thestarting point
for the iteration - is also bounded in this normonly. Using
the notation of Section 4 we obtainby choosing
With theassumption
the choices(as
for the firststep
of theiteration)
and & = a 1-3~’ we obtainFor the
frequencies
wo,SZo
of the new normal formNo
the usual estimates(14)
hold with -6 p - p. It is not necessary,
however,
tokeep
track of the small divisor estimates for the newfrequencies,
since the KAM scheme now startsfrom
scratch,
with parameters aand p
instead of a and p,respectively.
We estimate the measure of the resonance zones eliminated in the first and the
subsequent steps.
To this end fix T as in(22) assuming
-bp - p.
Forbrevity,
the notation ’ ’ now includes also constants thatdepend
on and areof the same form as the constants c3, ... in Section 5.
Let
Sû = U z
be the union of the resonance zones eliminated in thepreparatory
step and defined in terms of the modified small divisor estimates.LEMMA 9.
,
PROOF. We first show that the estimate of Lemma 8
changes
toThe estimate for 1 c A+ is the same as
before, giving
a contribution of the and 7r > 1 we have and the sum over allj
converges to a similar contribution. For I E=- A-and
1r 1,however,
the modified small divisor estimate(23) gives
There is no contribution from S~’ - Q
here,
since we aredealing
with theunperturbed frequencies.
For fixed m we then obtainby choosing jo +1-" -
Then(24)
followsby symming
over m.Summing (24)
over k we obtain one contribution to the estimateof 13&/.
The other contribution is due to the
finitely
many resonance zones with(k, l)
In each ofthem, (k, w)
+(l, Q)
is a nontrivial affine function ofç,
so one
has
a. This proves the lemma. ·The iteration now starts with the
parameter
setIIo -
and parameter a =a 1+w .
LEMMA 10. For
sufficiently
small a,PROOF. We show that now the estimate of Lemma 8
changes
toAgain,
the estimate for 1 E A’ is the same. For 1 E A-, there is a contribution of order a to the estimate of SZ’ - Q from thepreparatory step.
So instead of(21)
we have I IBy
proper choice ofjo
thisgives
the boundmax(a,
and hence the estimateof I P, 1 k (61) 1.
The rest of theproof
isanalogous
to thepreceding
one.Just note that the
functions (k, w’)
+(l, Q’)
areLipschitz
close of order a tonontrivial affine functions of
g..
The
proof
of Theorem D is now almostcomplete.
The two lemmata com-bined
give
.For 7T p - p 1 the
right
hand side is minimizedby choosing
1so that , ^ ,
hence with This proves Theorem D.
7. - Structural
Stability
The results may be used to show that a certain class of hamiltonians is
structurally
stable. Letbe a hamiltonian on some
phase
spacedepending
onparameters
G n c R7, n a closed bounded set ofpositive Lebesgue
measure. Let us say that H isa