activity
20152021
most citedProjective surjectivity of quadratic stochastic operators and its application

6 citations · 6 across the 2 of their papers we have counts for

collaborators

8 papers

math.FA20216 cited

Projective surjectivity of quadratic stochastic operators and its application

Farrukh Mukhamedov, Otabek Khakimov, Ahmad Fadillah Embong

A nonlinear Markov chain is a discrete time stochastic process whose transitions depend on both the current state and the current distribution of the process. The nonlinear Markov…

math.NT2019

-adic monomial equations and their perturbation

Farrukh Mukhamedov, Otabek Khakimov

In this paper, we describe the set of all solutions of monomial equation over . Moreover, as an application of the result, we study several perturbations of th…

math.DS2019

On omega limiting sets of infinite dimensional Volterra operators

Farrukh Mukhamedov, Otabek Khakimov, Ahmad Fadillah Embong

In the present paper, we are aiming to study limiting behavior of infinite dimensional Volterra operators. We introduce two classes and $\tilde{\mathcal{V}…

math.DS2019

Chaotic behavior of the -adic Potts-Bethe mapping II

Farrukh Mukhamedov, Otabek Khakimov

In our previous investigations, we have developed the renormalization group method to -adic -state Potts model on the Cayley tree of order . This method is closely related…

math-ph2019

On a -Adic Generalized Gibbs Measure for Ising Model on a Cayley Tree

Muzaffar Rahmatullaev, Otabek Khakimov, Akbarxoja Tukhtaboev

In this paper we consider a -adic Ising model on the Cayley tree of order . We give full description of all -adic translation-invariant generalized Gibbs measures fo…

math.FA2018

Positive solutions of nonlinear integral equations and surjectivity of Non-Linear Markov Operators On Infinite Dimensional Simplex

Farrukh Mukhamedov, Otabek Khakimov, Ahmad Fadillah Embong

In the present paper, we consider the solvability of positive solutions of nonlinear integral equations by means of investigating non-linear Markov operators. To solve the problem…