Any random variable with finite moments is a sum of two variables with determinate moment problem
    
    
  
  
  
      
      
      
        
Teoriâ veroâtnostej i ee primeneniâ, Tome 62 (2017) no. 4, pp. 787-797
    
  
  
  
  
  
    
      
      
        
      
      
      
    Voir la notice de l'article provenant de la source Math-Net.Ru
            
              			It is known that two random variables may have equal moments of all orders but unequal distributions. If, for a given random variable, there does not exist a differently distributed random variable with the same moments, then the original random variable is said to have determinate moment problem, or one says that the moment problem has a unique solution. It is shown that any random variable such that all its moments are finite can be represented as a sum of two disjoint variables, and each of them has determinate moment problem.
			
            
            
            
          
        
      
                  
                    
                    
                    
                    
                    
                      
Keywords: 
Hamburger moment problem, mixture of distributions, Orlicz space.
Mots-clés : Carleman condition
                    
                  
                
                
                Mots-clés : Carleman condition
@article{TVP_2017_62_4_a7,
     author = {K. V. Lykov},
     title = {Any random variable with finite moments is a sum of two variables with determinate moment problem},
     journal = {Teori\^a vero\^atnostej i ee primeneni\^a},
     pages = {787--797},
     publisher = {mathdoc},
     volume = {62},
     number = {4},
     year = {2017},
     language = {ru},
     url = {http://geodesic.mathdoc.fr/item/TVP_2017_62_4_a7/}
}
                      
                      
                    TY - JOUR AU - K. V. Lykov TI - Any random variable with finite moments is a sum of two variables with determinate moment problem JO - Teoriâ veroâtnostej i ee primeneniâ PY - 2017 SP - 787 EP - 797 VL - 62 IS - 4 PB - mathdoc UR - http://geodesic.mathdoc.fr/item/TVP_2017_62_4_a7/ LA - ru ID - TVP_2017_62_4_a7 ER -
K. V. Lykov. Any random variable with finite moments is a sum of two variables with determinate moment problem. Teoriâ veroâtnostej i ee primeneniâ, Tome 62 (2017) no. 4, pp. 787-797. http://geodesic.mathdoc.fr/item/TVP_2017_62_4_a7/
