Abstract
Consider a constrictive Markov operator \(T:L^1(X, \Sigma , \mu ) \rightarrow L^1(X, \Sigma , \mu )\) defined on a finite measure space \((X, \Sigma , \mu )\). We give a necessary and sufficient condition for a constrictive Markov operator T which is an integral operator with stochastic kernel satisfying \(T\mathbf {1}_X=\mathbf {1}_X\).
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Iwata, Y. Constrictive Markov operators induced by Markov processes. Positivity 20, 355–367 (2016). https://doi.org/10.1007/s11117-015-0360-6
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DOI: https://doi.org/10.1007/s11117-015-0360-6