Olga Vasylyk

Olga Vasylyk
National Technical University of Ukraine Kyiv Polytechnic Institute · Department of Mathematical Analysis and Probability Theory

Doctor of Sciences in Physics and Mathematics

About

38
Publications
1,284
Reads
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173
Citations
Citations since 2016
16 Research Items
71 Citations
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2016201720182019202020212022051015
2016201720182019202020212022051015
2016201720182019202020212022051015
Additional affiliations
February 2020 - present
National Technical University of Ukraine Kyiv Polytechnic Institute
Position
  • Professor (Associate)
Education
September 1992 - October 2000
National Taras Shevchenko University of Kyiv
Field of study
  • Probability Theory and Mathematical Stetistics

Publications

Publications (38)
Preprint
Full-text available
In the paper, we consider random variables and stochastic processes from the space Fψ(Ω) and study approximation problems for such processes. The method of series decomposition of stochastic processes from Fψ(Ω) is used to find an approximating process called a model. The rate ofconvergence of the model to the process in the uniform norm is investi...
Preprint
In the paper we consider higher-order partial differential equations from the class of linear dispersive equations. We investigate solutions to these equations subject to random initial conditions given by harmonizable $\varphi$-sub-Gaussian processes. The main results are the bounds for the distributions of the suprema for solutions. We present th...
Article
In this paper, there are studied sample paths properties of stochastic processes representing solutions (in $L_2(\Omega)$ sense) of the heat equation with random initial conditions given by $\varphi$-sub-Gaussian stationary processes. The main results are the bounds for the distributions of the suprema for such stochastic processes considered over...
Article
In this paper, we continue to study the properties of a separable strictly φ-sub-Gaussian quasi shot noise process $X(t) = \int_{-\infty}^{+\infty} g(t,u) d\xi(u), t\in\R$, generated by the response function g and the strictly φ-sub-Gaussian process ξ = (ξ(t), t ∈ R) with uncorrelated increments, such that E(ξ(t)−ξ(s))^2 = t−s, t>s ∈ R. We consider...
Article
Full-text available
In the paper we consider higher-order partial differential equations from the class of linear dispersive equations. We investigate solutions to these equations subject to random initial conditions given by harmonizable φ-sub-Gaussian processes. The main results are the bounds for the distributions of the suprema for solutions. We present the exampl...
Article
A model that approximates the fractional Brownian motion with parameter α ∈ (0, 2) with a given reliability 1 − δ, 0<δ<1, and accuracy ε>0inthe space Lp ([0,T]) is constructed. An example of a simulation in the space L2([0, 1]) is given.
Article
In this paper, there are studied properties of a strictly ϕ-sub-Gaussian quasi shot noise process X(t) = integral_{-∞}^{+∞} g(t, u) dξ(u), t ∈ R, generated by the process ξ and the response function g. New estimates for distributions of suprema of such processes are derived. An example of application of the obtained results is given.
Article
In this paper, there are studied properties of stochastic processes belonging to the spaces of φ-sub-Gaussian random variables Sub_φ (Ω). For the processes defined on R, we obtain conditions for boundedness and continuity with probability 1, estimates for the distribution of the supremum are also derived.
Article
Full-text available
In the present paper we continue the investigation of solutions to higher-order heat-type equations with random initial conditions, which play the important role in many applied areas. We consider the random initial conditions given by harmonizable (Formula presented.)-sub-Gaussian processes. The main results are the bounds for the distributions of...
Article
Full-text available
We consider simulation of '-sub-Gaussian processes that are weakly self-similar with stationary increments in the sense that they have the covariance function R(t,s) = 1 2 t 2H + s 2H | t s| 2H for some H 2 (0,1). Here such processes are referred to as processes of generalized fractional Brownian motion, since the second order structure of the proc...
Preprint
In the present paper we continue the investigation of solutions to higher-order heat-type equations with random initial conditions, which play the important role in many applied areas. We consider the random initial conditions given by harmonizable $\varphi$-sub-Gaussian processes. The main results are the bounds for the distributions of the suprem...
Article
In the paper, strictly f-sub-Gaussian quasi shot noise processes are considered. There are obtained estimates for distribution of supremum of such a process defined on a compact set and formulated conditions for its sample functions continuity with probability one.
Article
Full-text available
Summary: The life and main achievements of an outstanding mathematician and talented educator, Doctor of Physics and Mathematics, Professor Mykhailo Iosypovych Yadrenko (16.04.1932 -- 28.09.2004) are described. His personality features are also pointed out.
Article
Full-text available
We study the Lipschitz continuity of generalized sub-Gaussian processes and provide estimates for the distribution of the norms of such processes. The results are applied to the case of weakly self-similar generalized sub-Gaussian processes with stationary increments (the fractional Brownian motion is a particular case of these processes).
Article
Full-text available
Random processes from the class V(φ, ψ) which is more general than the class of ψ-sub-Gaussian random process. The upper estimate of the probability that a random process from the class V(φ, ψ) exceeds some function is obtained. The results are applied to generalized process of fractional Brownian motion.
Article
Full-text available
Random processes from the class V (ϕ, ψ) which is more general than the class of ψ-sub-Gaussian random process. The upper estimate of the probability that a random process from the class V (ϕ, ψ) exceeds some function is obtained. The results are applied to generalized process of fractional Brownian motion.
Article
In the paper we present conditions for uniform convergence with probability one of wavelet expansions of ℓ-sub-Gaussian (in particular, Gaussian) random processes defined on the space R. It is shown that upon certain conditions for the bases of wavelets the wavelet expansions of stationary almost sure continuous Gaussian processes and wavelet expan...
Article
Full-text available
We consider simulation of \({\text{Sub}}_{\varphi } {\left( \Omega \right)}\)-processes that are weakly selfsimilar with stationary increments in the sense that they have the covariance function $$R{\left( {t,s} \right)} = \frac{1}{2}{\left( {t^{{2H}} + s^{{2H}} - {\left| {t - s} \right|}^{{2H}} } \right)}$$for some H ∈ (0, 1). This means that the...
Article
Full-text available
In this paper we consider random process from the space $\Sub_{\varphi}(\Omega)$, which is defined on compact set, and the probability that supremum of this process exceeds some function. The class of $\Sub_{\varphi}(\Omega)$ random processes is more general than the class of Gaussian processes. By applying obtained estimation to a fluid queue fed...
Article
Full-text available
We consider a queue fed by Gaussian traffic and give conditions on the input process under which the path space large deviations of the queue are governed by the rate function of the fractional Brownian motion. As an example we consider input traffic that is composed of of independent streams, each of which is a fractional Brownian motion, having d...
Article
Full-text available
We study the Lipschitz continuity of generalized sub-Gaussian processes, and provide estimates for the distribution of the norms of such processes. The results are applied to the case of weakly self-similar stationary- increment generalized sub-Gaussian processes (the fractional Brownian mo- tions are special cases).
Article
Full-text available
We describe the present situation on teaching Survey Sampling in the Department of Probability Theory and Mathematical Statistics at Kyiv National University. The shortcomings are analyzed and needed changes are suggested.

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