Distribution of

Prepared by Valerio De Angelis
We prove the following theorem:
Theorem A
Let be a real number,
and let fractional part of
.
i) If is rational,
then the sequence is
periodic, and so is a
finite set
ii) If is
irrational, then is
uniformly distributed over the interval
, in the sense that for
every interval I,
(1)
Proof of part i)
If , where p and
q are integers, then
.
So has period q,
and 
Proof of part ii)
We will make use of the following basic real analysis result:
Theorem B Any continuous function
on
can be expressed as
an infinite sum
.
This infinite sum is called the Fourier series of the
function .
In addition, if we write ,
we have

Most textbooks of real analysis discuss Fourier series.
We will not provide a proof of Theorem B in these notes.
For a good online reference,
click here.
Note: The meaning of the first statement in the
theorem is that

for every x. In other words, given any x and any
(which we can think of as a tolerance level for the error),
we can find some m such that
as soon as
k is larger than m, but this number m may
well be different for different x. The second statement
is stronger: it tells us that given a tolerance number
for the difference
, we can find a
single m such that when k is larger than m,
is true for
every x. This is expressed by saying that the
infinite series converges uniformly to
on

We now proceed to the proof of (1), assuming that
is irrational.
For any interval I, let's denote by
the
indicator function of I, that is,
.
Then the first digit of
is equal to
d if and only if ,
and we have
.
So (1) is equivalent to:
2)
Note that ,
so that (2) is the same as
(3)
We will first prove that (3) holds for any continuous
function on
(of course,
is not continuous).
So we will prove:
(4)
First we fix an
and use Theorem B to find some m such that the partial
sum is uniformly
within of
, that is
for all
x in .
Then we calculate

(5) .
So we are led to consider the sums
and
. To compute these sums,
we note that they are the imaginary and real part, respectively,
of the sum , which is
easily computed:



.
The crucial ingredient for the legitimacy of this calculation is
the fact that is irrational,
because it ensures that for every non-zero integer j,
.
So we conclude that for each fixed non-zero integer j,

and
.
This means that all the terms in the sums over j in (5)
will tend to zero as n gets large, except the term in
the second sum with .
Since the sums in (5) are finite, we can find some
N such that

and

whenever . Then we
conclude that if ,
.
Now note that , as it
follows by integrating the Fourier series for
over
.
So we have proved that given any
, we can find some
N such that

whenever . In just
the same way we can prove that
,
and we conclude that
for all large N. This means, by definition, that
, and (4) is proved.
To finish our proof, we now need to show that (3) follows from (4).
The idea is simple: even though
is not continuous, we
can approximate it with continuous functions. To be precise, for each
we can find a continuous
function such that
and
.
For example, if ,
we can take in the
picture below to make the shaded area less than
, with some obvious
modifications in case one of the end points of I is an
end point of .

Then we find, for large enough n,

In a similar way, we can find a continuous function
such that
and
(take the base of the trapezoid in the figure to be inside
I). Then for large enough n we have
.
In conclusion, we have proved that given any
, we have
for all
large enough n, which means that
, and (3) is proved.
This concludes the proof of Theorem A.
Notes
The problem of determining the asymptotic distribution of sequences
determined by simple transformtions of the unit interval
has been much investigated.
The sequence we considered in this problem arises from the
transformation
(a translation by ), because we have
.
A much more difficult problem is to understand the distribution
of sequences arising from multiplication by a number, for example
.
Iteration of this transformation leads to sequences such as
,
for which it is unknown whether the asymptotic
distribution is uniform.
A combinatorial and fairly elementary proof of Theorem A is found in
"An Introduction to the Theory of
Numbers", by Hardy and Wright, Theorem 445,
pp. 390-391. (This reference provided by Allen Stenger). A succinct
proof along the lines of our exposition is in "An introduction to
Ergodic Theory" by P.Walters,
Springer-Verlag GTM, Theorem 1.8.
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