The Ostrogradsky series and related probability measures

Mathematics – Number Theory

Scientific paper

Rate now

  [ 0.00 ] – not rated yet Voters 0   Comments 0

Details

submitted to Mathematical Proceedings of the Cambridge Philisophical Society

Scientific paper

We develop a metric and probabilistic theory for the Ostrogradsky representation of real numbers, i.e., the expansion of a real number $x$ in the following form: \begin{align*} x&= \sum_n\frac{(-1)^{n-1}}{q_1q_2... q_n}= &=\sum_n\frac{(-1)^{n-1}}{g_1(g_1+g_2)...(g_1+g_2+...+g_n)}\equiv \bO1(g_1,g_2,...,g_n,...), \end{align*} where $q_{n+1}>q_n\in\N$, $g_1=q_1$, $g_{k+1}=q_{k+1}-q_k$. We compare this representation with the corresponding one in terms of continued fractions. We establish basic metric relations (equalities and inequalities for ratios of the length of cylindrical sets). We also compute the Lebesgue measure of subsets belonging to some classes of closed nowhere dense sets defined by characteristic properties of the $\bO1$-representation. In particular, the conditions for the set $\Cset{V}$, consisting of real numbers whose $\bO1$-symbols take values from the set $V \subset N$, to be of zero resp. positive Lebesgue measure are found. For a random variable $\xi$ with independent $\bO1$-symbols $g_n(\xi)$ we prove the theorem establishing the purity of the distribution. In the case of singularity the conditions for such distributions to be of Cantor type are also found.

No associations

LandOfFree

Say what you really think

Search LandOfFree.com for scientists and scientific papers. Rate them and share your experience with other people.

Rating

The Ostrogradsky series and related probability measures does not yet have a rating. At this time, there are no reviews or comments for this scientific paper.

If you have personal experience with The Ostrogradsky series and related probability measures, we encourage you to share that experience with our LandOfFree.com community. Your opinion is very important and The Ostrogradsky series and related probability measures will most certainly appreciate the feedback.

Rate now

     

Profile ID: LFWR-SCP-O-467384

  Search
All data on this website is collected from public sources. Our data reflects the most accurate information available at the time of publication.