On asymptotic structure of  continuous-time Markov branching  processes allowing immigration  without higher-order moments
    
    
  
  
  
      
      
      
        
Ufa mathematical journal, Tome 13 (2021) no. 1, pp. 137-147
    
  
  
  
  
  
    
      
      
        
      
      
      
    Voir la notice de l'article provenant de la source Math-Net.Ru
            
              			We consider a continuous-time Markov branching process allowing immigration. Our main analytical
    tool is the slow variation (or more general, a regular variation) conception in the sense of Karamata. The slow variation
    property arises in many issues, but it usually remains rather hidden.
    For example, denoting by $p(n)$ the perimeter of an equilateral polygon with $n$ sides inscribed in a circle with a diameter of
    length $d$, one can check that the function $\boldsymbol{\pi}(n):={p(n)}/d$ converges to $\pi$ in the sense of Archimedes, but it slowly
    varies at infinity in the sense of Karamata. In fact, it is known that $p(n)=dn\sin{\left(\pi/n\right)}$
    and then it follows $\boldsymbol{\pi}(\lambda{x}) /\boldsymbol{\pi}(x) \to 1$ as $x \to \infty$ for each $\lambda > 0$.
    Thus, $\boldsymbol{\pi}(x)$ is so slowly approaching $\pi$ that it can be suspected that "$\pi$ is not quite constant".
    Application of Karamata functions in the branching processes theory allows one to bypass severe constraints concerning existence
    of the higher-order moments of the infinitesimal characteristics of the process under study. Zolotarev  was one of
    the first who demonstrated an encouraging prospect of application of the slow variation conception in the theory of
    Markov branching processes and has obtained principally new results on asymptote of the survival
    probability of the process without immigration.
    In this paper, delving deeply in the nature of the Karamata functions, we study more subtle properties of branching
    processes allowing immigration. In particular, under quite admissible conditions, we   find explicit forms for the
    generating functions of  invariant measures for the process under consideration.
			
            
            
            
          
        
      
                  
                    
                    
                    
                        
Keywords: 
Markov branching process, transition functions,
    state space classification, generating functions, slowly varying function, invariant measures.
Mots-clés : immigration
                    
                  
                
                
                Mots-clés : immigration
@article{UFA_2021_13_1_a12,
     author = {A. A. Imomov and A. Kh. Meyliev},
     title = {On asymptotic structure of  continuous-time {Markov} branching  processes allowing immigration  without higher-order moments},
     journal = {Ufa mathematical journal},
     pages = {137--147},
     publisher = {mathdoc},
     volume = {13},
     number = {1},
     year = {2021},
     language = {en},
     url = {http://geodesic.mathdoc.fr/item/UFA_2021_13_1_a12/}
}
                      
                      
                    TY - JOUR AU - A. A. Imomov AU - A. Kh. Meyliev TI - On asymptotic structure of continuous-time Markov branching processes allowing immigration without higher-order moments JO - Ufa mathematical journal PY - 2021 SP - 137 EP - 147 VL - 13 IS - 1 PB - mathdoc UR - http://geodesic.mathdoc.fr/item/UFA_2021_13_1_a12/ LA - en ID - UFA_2021_13_1_a12 ER -
%0 Journal Article %A A. A. Imomov %A A. Kh. Meyliev %T On asymptotic structure of continuous-time Markov branching processes allowing immigration without higher-order moments %J Ufa mathematical journal %D 2021 %P 137-147 %V 13 %N 1 %I mathdoc %U http://geodesic.mathdoc.fr/item/UFA_2021_13_1_a12/ %G en %F UFA_2021_13_1_a12
A. A. Imomov; A. Kh. Meyliev. On asymptotic structure of continuous-time Markov branching processes allowing immigration without higher-order moments. Ufa mathematical journal, Tome 13 (2021) no. 1, pp. 137-147. http://geodesic.mathdoc.fr/item/UFA_2021_13_1_a12/
