2013
DOI: 10.1016/j.na.2013.03.011
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On mixing in the class of quadratic stochastic operators

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Cited by 23 publications
(32 citation statements)
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“…[4,7]) that V(μ) − V(ν) TV ≤ 2 μ − ν TV for all μ, ν ∈ P(S), so V is a continuous transformation for the total variation norm · TV topology. Moreover, if it is Feller, then V is continuous on P(S) for the Fortet-Mourier norm; i.e.…”
Section: Basics On Quadratic Stochastic Operatorsmentioning
confidence: 99%
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“…[4,7]) that V(μ) − V(ν) TV ≤ 2 μ − ν TV for all μ, ν ∈ P(S), so V is a continuous transformation for the total variation norm · TV topology. Moreover, if it is Feller, then V is continuous on P(S) for the Fortet-Mourier norm; i.e.…”
Section: Basics On Quadratic Stochastic Operatorsmentioning
confidence: 99%
“…To connect our results with other contemporary studies we recall (cf. [4,7]) the following notions: Definition 2. 3 We say that a q.s.o.…”
Section: Definition 22 We Say That a Qso V: P(s) × P(s) → P(s) Ismentioning
confidence: 99%
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