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JOURNALS // Zhurnal Vychislitel'noi Matematiki i Matematicheskoi Fiziki // Archive

Zh. Vychisl. Mat. Mat. Fiz., 2007 Volume 47, Number 1, Pages 162–173 (Mi zvmmf355)

This article is cited in 2 papers

Statistical simulation of one type of pairs of random variables with the use of fictitious jumps

A. I. Khisamutdinov

Institute of Geophysics, Siberian Division, Russian Academy of Sciences, pr. Akademika Koptyuga 3, Novosibirsk, 630090, Russia

Abstract: Statistical simulation based on the sampling technique for a pair of random variables $(T,\mathscr U)$, where $T\in[0,+\infty)$ and $\mathscr U\in\mathscr R^d$ ($d\geq1$) is considered. The simultaneous distribution of the pair is specified in the form that is common for analogous problems in various fields. It has the form
$$ \mathbf P\{T\in dt,\mathscr U\in du\}=f(t,u)\exp\biggl(-\int_0^t\int_{\mathscr R^d}f(t',u')m(du')dt'\biggr)dt\,m(du), $$
where $f$ is a function and $m$ is a measure. The first variable $T$ is the well-known random waiting time. A simulation method for the pair $(T,\mathscr U)$ is constructed using a realization of an auxiliary Markov sequence of trial pairs. Applications of this method in particle transport theory and in kinetics of rarefied gases are discussed.

Key words: statistical simulation, pair of random variables, simultaneous distribution, sampling technique, Markov sequence of trial pairs, complexity of the algorithm, simulation of particle collisions, Monte Carlo method.

UDC: 519.676

Received: 26.05.2005
Revised: 12.11.2005


 English version:
Computational Mathematics and Mathematical Physics, 2007, 47:1, 157–168

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