2009
DOI: 10.1080/07362990802678994
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On Non-Volterra Quadratic Stochastic Operators Generated by a Product Measure

Abstract: In this paper we describe a wide class of non-Volterra quadratic stochastic operators using N. Ganikhadjaev's construction of quadratic stochastic operators. By the construction these operators depend on a probability measure µ being defined on the set of all configurations which are given on a graph G. We show that if µ is the product of probability measures being defined on each maximal connected subgraphs of G then corresponding non-Volterra operator can be reduced to m number (where m is the number of maxi… Show more

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Cited by 25 publications
(19 citation statements)
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“…This construction depends on the probability measure μ which is given on a fixed graph G. In [5], it is proved that the QSO resulting from this construction is of Volterra type if and only if the graph G is connected. A construction of QSOs involving a general finite graph and probability measure μ (here μ is the product of measures defined on maximal subgraphs of the graph G) and yielding a class of non-Volterra operator was described in [19]. It was shown that if μ is given as the product of probability measures, then the corresponding non-Volterra operator can be studied by N Volterra operators (where N is the number of connected components of the graph).…”
Section: Preliminariesmentioning
confidence: 99%
See 1 more Smart Citation
“…This construction depends on the probability measure μ which is given on a fixed graph G. In [5], it is proved that the QSO resulting from this construction is of Volterra type if and only if the graph G is connected. A construction of QSOs involving a general finite graph and probability measure μ (here μ is the product of measures defined on maximal subgraphs of the graph G) and yielding a class of non-Volterra operator was described in [19]. It was shown that if μ is given as the product of probability measures, then the corresponding non-Volterra operator can be studied by N Volterra operators (where N is the number of connected components of the graph).…”
Section: Preliminariesmentioning
confidence: 99%
“…Since then, QSOs have been intensively investigated, see ( [1][2][3][4][5][6][7][8][9][10], [17][18][19]. The recent advances of the theory of the QSOs interact with many branches of mathematics particularly with Graph theory, Probability theory, Spectral theory, Measure theory, Algebra, Biology and Physics.…”
Section: Introductionmentioning
confidence: 99%
“…In [21] using the construction of QSO for the general finite graph and probability measure µ (here µ is product of measures defined on maximal subgraphs of the graph G) a class of non-Volterra QSOs is described.…”
Section: Non-volterra Qso As Combination Of a Volterra And A Non-voltmentioning
confidence: 99%
“…The theory of quadratic stochastic operators has been developed for more than 85 years, and many works related to this theory have been published (see, e.g., [1][2][3][4][5][6][7][8][9][10][11][12][13]). In recent years, there has been a considerable growth of interest in this theory due to its numerous applications to problems of mathematics, biology, and physics.…”
Section: Introductionmentioning
confidence: 99%