arXiv subjects

A. Yu. Shahverdian

Publications and source records attributed to A. Yu. Shahverdian.

5 recordsLinked to original sources

arXiv2017

Full Randomness in the Higher Difference Structure of Two-state Markov Chains

The paper studies the higher-order absolute differences taken from progressive terms of time-homogenous binary Markov chains. Two theorems presented are the limiting theorems for these differences, when their order $k$ converges to infinity. Theorems 1 and 2 assert that there exist some infinite subsets $E$ of natural series such that $k$th order differences of every such chain converge to the equi-distributed random binary process as $k$ growth to infinity remaining on $E$. The chains are classified into two types and $E$ depend only on the type of a given chain. Two kinds of discrete capacities for subsets of natural series are defined, and in their terms such sets $E$ are described.

math.PR↗

arXiv2016

Discrete Capacity and Higher-order Differences of Two-state Markov Chains

The paper studies the time-homogeneous two-state Markov chains; the states are assumed to be binary symbols 0 and 1. The higher-order absolute differences taken from progressive states of a given chain are considered. A discrete capacity of subsets of natural series is defined and a limiting theorem for these differences, formulated in terms of Wiener criterion type relation, is presented.

math.PR↗

arXiv2002

Some Applications of the Difference Analysis for Stochastic Systems

The work relates to a new way for analysis of one-dimensional stochastic systems, based on consideration of its higher order difference structure. From this point of view, the deterministic and random processes are analyzed. A new numerical characteristic for one-dimensional stochastic systems is introduced. The applications to single neuron models and neural networks are given.

nlin.CD↗

arXiv2000

The Periodic Response of Periodically Perturbated Stochastic Systems

The paper introduces a new numerical characteristic of one dimensional stochastic systems. This quantity is a measure of minimal periodicity, can be detected in the process deep differential structure. The claim is that this new measure of stochasticity is also a well adapted characteristic for research of stochastic resonance phenomena.

math.DS↗

arXiv1999

Billiard Sequences and the Property of Splittability of Integrable Hamilton Systems

The paper establishes the property of splittability of billiard boundary sequences in n dimensional cube into subsequences of fractional parts. This reveals a new property of integrable and weak perturbated Hamilton systems: under a simple assumption, the boundary motion of elliptic orbits on stable KAM tori, if considering in cartesian coordinates, can be splitted into a countable set of discrete rotations. The rate of the split process, expressed in terms of some exceptional sets density, in dependence of number-theoretical characteristics of the orbits frequencies, is also examined.

chao-dyn↗