R ENDICONTI
del
S EMINARIO M ATEMATICO
della
U NIVERSITÀ DI P ADOVA
M ICHAEL D RMOTA
R OBERT F. T ICHY
C-uniform distribution of entire functions
Rendiconti del Seminario Matematico della Università di Padova, tome 79 (1988), p. 49-58
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C-Uniform Distribution of Entire Functions.
MICHAEL DRMOTA - ROBERT F. TICHY
(*)
SUMMARY - It is
proved
that under certain conditions on thegrowth
of theentire function
f(z)
the curvef(t) (for
real t) isuniformly
distributed modulo 1 in thecomplex plane.
The same is valid for two-dimensional flowsf (s
+ it). Furthermore twouniformly
distributed functions, theexponential
functionf(t)
= exp[at]
and the WeierstraB a-functionf(t)
=- Q(t) (not
satisfying
thegrowth condition)
areinvestigated.
1. Introduction.
A continuous function
f : [0, oo)
-* Rd is said to beuniformly
dis-tributed modulo 1
(for
short:u.d.)
ifholds for all boxes I =
[a,, bl] X
... X[ad, [0,1)d;
xI is the charac- teristic function of I and itsLebesgue
=f(t)
--
[f (t)]
denotes thecomponentwise
fractionalpart
off(t).
If{f(t)}
is
interpreted
as aparticle’s
motion on the d-dimensional torus definition(1.1)
means that the ratio of theparticle’s stay
in any box to the whole time converges to the volume of the box. Aquantitative
(*) Indirizzo
degli
AA.: TechnicalUniversity
of Vienna,Dept.
of Mathe- matics, WiednerHauptstral3e
8-10, 1040 Vienna, Austria.measure for the convergence in
(1.1)
is thediscrepancy
It is well known that
f (t)
is u.d. if andonly
if tends to 0(for
T -*
oo) ;
cf.[4]. By
a famous criterion due to H.Weyl [10] (1.1)
isequivalent
tofor all
integral
latticepoints where (.; )
denotes the usual innerproduct
inAs
general
references for thetheory
ofuniformly
distributed func- tions we propose themonographs by
E. Hlawka[5]
andby
L.Kuipers
and H. Niederreiter
[6].
In this article we
study
the distribution behaviour of an(in general complex valued)
entire functionf (t)
considered as amapping [0, oo)
- R2. If allcoefficients fn
of theTaylor expansion
off (z)
arereal we
consider f
as a function[0, oo)
-+ R.In the
special
case(for
Satz 8 of E. Hlawka[4]
im-mediately yields
since
f (t)
is in this case anincreasing
and convex function(for
In section 2 we are interested in entire functions
f
of very smallgrowth;
more
precisely
we assumewhere
M(r)
= max We will prove: Iff
is oftype (1.5)
and|z|r
has real
Taylor coefficients,
then is u.d. in R. Ananalogon
forcomplex f n
is an immediate consequence of this result. We remark that similar theorems(with 4/3
instead of3/2)
for the uniform dis- tribution of sequences are due to G.Rauzy [7],
G. Rhin[8]
and51
R. C. Baker
[1], [2].
Theexamples
of G.Rauzy [7]
and R. C. Baker[1]
show also in the case of
uniformly
distributed functions that the con-stant
3 /2
cannot bereplaced by
a constant c > 2.In section 3 we discuss the
exponential
function exp[at] (a
EC)
and the Weierstrass c-function and
give
estimates for thediscrepancy.
In the final section 4 we extend the
previous
results to the case of two-dimensional flows
f(s ---~- it).
2. Entire functions of very small
growth.
THEOREM 1. Let
f (z)
be ac(non constant)
entiref unction satis f ying (1.5)
such that allTaylor coefficients of f
are real. Thenf (t) (considered
as a
f unction [0, oo)
~R)
is u.d.COROLLARY 1. Let
f(z)
be an entiref unetion satis f ying (1.5 )
suchthat either the
quotient
Re(fn)
is irrationalfor
someTaylor coef- ficient fn
with or there are twoTaylor coefficients f n, fm (1 m n)
with Re
(f,,,)/Im (fm)
=1= Re(fn).
T henf(t) (considered
as af unc-
tion
[0, 00)
~1~2)
is u.d.PROOF OF COROLLARY 1. We
apply
Theorem 1 to the functionThen
Weyl’s
criterion(1.3) immediately yields
the result of the cor-ollary.
REMARK 1. In the case of
uniformly
distributed sequences R. C.Baker
[2]
has shownthat,
ingeneral,
there is no estimate for thediscrepancy
of entire functionssatisfying (1.5).
Since we use similartechniques
for theproof
of Theorem 1 as have been used for sequences it is notpossible
to obtain ageneral
estimate for thediscrepancy by
this method. Nevertheless estimates can be
proved
forspecial
func-tions,
compare(1.4).
PROOF OF THEOREM 1. We will
apply Weyl’s
criterion and setAs in
[7]
we make use ofincreasing
sequences(nk), (Pk), (Qk) tending
to
infinity
andsatisfying Q,,
forsufficiently large k (for
detailssee Lemma
1).
In Lemma 3 we will prove thatholds for every
E > 0,
for allsufficiently large
and allT c Pk . Choosing e, k
such that(2.1)
holds and C =C(e)
=we obtain
by
inductionTrivially (2.2)
is valid for k =ko:
Assume that(2.2)
holds for somek > ko
.. If then withand
(2.1)
combined with theassumption yields
Thus
(2.2)
isproved
for all e> 0 and allwe derive from
(2.2)
for every s > 0hence
f (t)
is u.d.In the
following
wegive
a detailed definition of the above sequence(nk), (Pk), (Q,)
and establish some essentialproperties.
From con-dition
(1.5)
we obtainby Cauchy’s inequality
for some c > 3 denote the
Taylor
coefficients off).
Iff
is a nonconstant
polynomial
estimate(1.4)
can beapplied;
hencef
is u.d.in this case. In the
following
we assume thatf n
# 0 forinfinitely
many n. Set no = min
~n : f n
~0}.
If nk is defined setand
53
and define
(By (2.3)
the sequences(rnk)
and(nk)
arewell-defined.)
Furthermorewe set
LEMMA 1.
The
proof
of(i)
to(vii)
can begiven by verbally
the samearguments
as in
[7]. Properties (viii), (ix), (x)
are immediate consequences of the former ones.In order to show
(2.1)
we make use of thefollowing
lemma.LEMMA 2. Let be a
poly-
nomialof degree
N with realcoefficients.
Thenfor
all A BPROOF.
Using
the substitution forN ~ 2
we have to provefor any and a
polynomial q(u)
=b1 uN-1-E-.... + bN.
Applying
Theorem 3.4.1 of R. P. Boas[3]
we have forevery .g > 0 and all u E
~S,
where the set S is the union of at most(N - 1)
intervals and its measure is12Kl/(N-l).
Therefore there are at most N intervals
(contained
in[a, fl])
whereq is monotone and
Iq’l
> g. Hence the second mean value theoremyields
on such an interval ICombining
this with the trivial boundand
choosing
g = Nyields (2.6).
Thus theproof
of Lemma 2 isfinished,
since the case N = ~1 is trivial.To
complete
theproof
of Theorem 1 it remains to show estimate(2.1).
This is worked out in thefollowing
Lemma.LEMMA 3. For every e>0 and
sufficiently large k > ko(E)
we have55
PROOF. Set
By
Lemma 1(i)
1 we obtain fortherefore
for t E
[0,
Henceby Taylor’s
formula and ifor We have
Therefore we
get by
Lemma 1 and(2.8)
Thus, applying
Lemma 1(ix)
and(x),
theproof
of Lemma 3 is com-plete.
3. Some
special
entire functions.As a first
example (not satisfying (1.5))
we want to consider the entire functionIf Im
(a)
= 0 we canapply
Satz 8 of[4]
and obtain estimate(1.4)
for the
discrepancy
In the case Im(a)
~ 0 we willapply
theinequality
of Erd6s-Turan(for complex functions) f(t)
=fl(t) +
(H
anarbitrary positive integer)
with an absolute constant
c>0;
note thatllhll Ihal).
We set a = a
+ ifl
and obtain for some yIn order to estimate the
integrals
in(3.2)
weapply
the second meanvalue theorem on at most
IPTI/(2n) +
2 intervalsIi
whereg(t)
isstrictly
monotone and
(for
an s > 0 which is chosenlater).
Observe that thelength
of theremaining
intervals in[0, T]
is Hence we haveApplying (3.2)
andchoosing
and H =[Ti] yields
In the
following
we consider the Weierstrass or-function. Let be a lattice in thecomplex plane generated by
twopositive
realnumbers CO2. Then is an entire function and can be defined
by
57
which is real valued for real z. We also assume that the real constant
(cf. [9])
ispositive.
In order to establish an estimate for the dis- crepancy of t E[0, oo)
we use the functionalequation
We consider intervals
J,
=(k + 1) col], k = 0, 1, 2, ....
Sincethe
p-function
has at most two zeroes inJk,
the WeierstrassC-function (with ~’_ - p)
has at most 3 zeroes inJk (note
that all involved func- tions are real under the aboveassumptions).
Since~(t)
=O’(t)
consists of at most 4strictly
monotonepieces
onJk . Applying (3.7),
theinequality
of Erd6s-Turan and the second mean valuetheorem,
we obtain as in the
previous example
4. Two dimensional flows.
It is also of some intrest to consider the distribution behaviour of two dimensional flows
f (z), z
= s+
it.Generalizing
definition(1.1)
we call such a
(complex valued)
flow u.d.(mod 1)
ifholds for all two dimensional intervals 19
[0, 1)2;
note thatS,
T tendindependently
toinfinity. By
similararguments
as in section 2 thefollowing
result can be established.THEOREM 2. Let
f(z)
be an non constant entirefunction satisfying (1.5)
such that
f n
is real or thequotient
Re(tn ) /Im ( f n )
is irrationalfor
almostall Then the
flow f(s + it)
is u. d. mod 1.REMARK 2. For some
applications
itmight
be useful to considera two dimensional flow as u.d. mod 1 if
holds for all
[0, 1]2. Obviously,
Theorem 2 is true for this notionof uniform
distribution,
too.REFERENCES
[1] R. C. BAKER, Entire Functions and
Uniform
Distribution Modulo 1, Proc. London Math. Soc.,(3)
49 (1984), pp. 87-110.[2]
R. C. BAKER, On the Valuesof
Entire Functions at the PositiveIntegers,
Monatsh. Math., 102
(1986),
pp. 179-182.[3]
R. P. BOAS, Entire Functions, Academic Press, NewYork,
1954.[4]
E. HLAWKA,Über C-Gleichverteilung,
Ann. Mat. PuraAppl., (IV)
49 (1960), pp. 311-326.[5] E. HLAWKA, Theorie der
Gleichverteilung,
B.I., Mannheim-Wien-Zürich,1979.
[6] L. KUIPERS - H. NIEDERREITER,
Uniform
Distributionof Sequences,
John
Wiley
& Sons, New York, 1974.[7] G. RAUZY, Fonctions entières et
répartition
modulo un, II, Bull. Soc. Math.France, 101 (1973), pp. 185-192.
[8] G. RHIN,
Répartition
modulo 1 def(pn) quand f est
une série entière, Ré-partition
modulo 1, Lecture Notes in Mathematics,Springer,
Berlin,475 (1975), pp. 176-244.
[9] R. J. TASCHNER, Funktionentheorie,
Manz-Verlag,
Wien, 1983.[10] H. WEYL,
Über
dieGleichverteilung
von Zahlen mod. Eins, Math. Ann., 77 (1916), pp. 313-352.Manoscritto