Add to ORKGIn this paper, we study strong and uniform ergodicity of nonlinear polynomial Markov operators on the l_1 space
A linear stochastic (Markov) operator is a positive linear contraction which preserves the simplex. ...
AbstractAs a further generalization of the Perron-Frobenius theorem from linear to nonlinear operato...
We prove that a, Markov operator T on L-1 has an invariant density if and only if there exists a den...
In this paper, we study strong and uniform ergodicity of nonlinear polynomial Markov operators on th...
It is known that the Dobrushin’s ergodicity coefficient is one of the effective tools to study the b...
In the present work, we define such an ergodicity coefficient of a positive mapping defined on orde...
In this paper we study certain properties of Dobrushin's ergodicity coe�cient for stochastic operat...
It is known that Dobrushin's ergodicity coefficient is one of the effective tools in the investigati...
(Communicated by Fraydoun Rezakhanlou) Abstract. In the present paper we investigate the L1-weak erg...
In this paper we study certain properties of Dobrushin's ergod- icity coe�cient for stochastic oper...
In this paper, we consider uniformly mean ergodic and uniformly asymptotical stable Markov operators...
In the present paper we investigate the L_1 -weak ergodicity of nonhomogeneous discrete Markov proce...
In the present paper, we introduce two classes L+ and L- of nonlinear stochastic operators acting on...
Let T be a power-bounded linear operator in a real Banach space X. We study the equality (*) $(I-T...
AbstractSome sufficient conditions for the recurrence, the positive recurrence and the exponential e...
A linear stochastic (Markov) operator is a positive linear contraction which preserves the simplex. ...
AbstractAs a further generalization of the Perron-Frobenius theorem from linear to nonlinear operato...
We prove that a, Markov operator T on L-1 has an invariant density if and only if there exists a den...
In this paper, we study strong and uniform ergodicity of nonlinear polynomial Markov operators on th...
It is known that the Dobrushin’s ergodicity coefficient is one of the effective tools to study the b...
In the present work, we define such an ergodicity coefficient of a positive mapping defined on orde...
In this paper we study certain properties of Dobrushin's ergodicity coe�cient for stochastic operat...
It is known that Dobrushin's ergodicity coefficient is one of the effective tools in the investigati...
(Communicated by Fraydoun Rezakhanlou) Abstract. In the present paper we investigate the L1-weak erg...
In this paper we study certain properties of Dobrushin's ergod- icity coe�cient for stochastic oper...
In this paper, we consider uniformly mean ergodic and uniformly asymptotical stable Markov operators...
In the present paper we investigate the L_1 -weak ergodicity of nonhomogeneous discrete Markov proce...
In the present paper, we introduce two classes L+ and L- of nonlinear stochastic operators acting on...
Let T be a power-bounded linear operator in a real Banach space X. We study the equality (*) $(I-T...
AbstractSome sufficient conditions for the recurrence, the positive recurrence and the exponential e...
A linear stochastic (Markov) operator is a positive linear contraction which preserves the simplex. ...
AbstractAs a further generalization of the Perron-Frobenius theorem from linear to nonlinear operato...
We prove that a, Markov operator T on L-1 has an invariant density if and only if there exists a den...