Fatou's lemma in its classical form and Lebesgue's convergence theorems for varying measures with applications to Markov decision processes
    
    
  
  
  
      
      
      
        
Teoriâ veroâtnostej i ee primeneniâ, Tome 65 (2020) no. 2, pp. 338-367
    
  
  
  
  
  
    
      
      
        
      
      
      
    Voir la notice de l'article provenant de la source Math-Net.Ru
            
              			The classical Fatou lemma states that the lower limit of a sequence of
integrals of functions is greater than or equal to the integral of the lower
limit. It is known that Fatou's lemma for a sequence of weakly converging
measures states a weaker inequality because the integral of the lower limit
is replaced with the integral of the lower limit in two parameters, where the
second parameter is the argument of the functions. In the present paper, we
provide sufficient conditions when Fatou's lemma holds in its classical form
for a sequence of weakly converging measures. The functions can take both
positive and negative values. Similar results for sequences of setwise
converging measures are also proved. We also put forward analogies of
Lebesgue's and the monotone convergence theorems for sequences of weakly and
setwise converging measures. The results obtained are used to prove broad
sufficient conditions for the validity of optimality equations for
average-cost Markov decision processes.
			
            
            
            
          
        
      
                  
                    
                    
                    
                    
                    
                      
Mots-clés : 
Fatou's lemma, setwise convergence
Keywords: measure, weak convergence, Markov decision process.
                    
                  
                
                
                Keywords: measure, weak convergence, Markov decision process.
@article{TVP_2020_65_2_a4,
     author = {E. A. Feinberg and P. O. Kas'yanov and Y. Liang},
     title = {Fatou's lemma in its classical form and {Lebesgue's} convergence theorems for varying measures with applications to {Markov} decision processes},
     journal = {Teori\^a vero\^atnostej i ee primeneni\^a},
     pages = {338--367},
     publisher = {mathdoc},
     volume = {65},
     number = {2},
     year = {2020},
     language = {ru},
     url = {http://geodesic.mathdoc.fr/item/TVP_2020_65_2_a4/}
}
                      
                      
                    TY - JOUR AU - E. A. Feinberg AU - P. O. Kas'yanov AU - Y. Liang TI - Fatou's lemma in its classical form and Lebesgue's convergence theorems for varying measures with applications to Markov decision processes JO - Teoriâ veroâtnostej i ee primeneniâ PY - 2020 SP - 338 EP - 367 VL - 65 IS - 2 PB - mathdoc UR - http://geodesic.mathdoc.fr/item/TVP_2020_65_2_a4/ LA - ru ID - TVP_2020_65_2_a4 ER -
%0 Journal Article %A E. A. Feinberg %A P. O. Kas'yanov %A Y. Liang %T Fatou's lemma in its classical form and Lebesgue's convergence theorems for varying measures with applications to Markov decision processes %J Teoriâ veroâtnostej i ee primeneniâ %D 2020 %P 338-367 %V 65 %N 2 %I mathdoc %U http://geodesic.mathdoc.fr/item/TVP_2020_65_2_a4/ %G ru %F TVP_2020_65_2_a4
E. A. Feinberg; P. O. Kas'yanov; Y. Liang. Fatou's lemma in its classical form and Lebesgue's convergence theorems for varying measures with applications to Markov decision processes. Teoriâ veroâtnostej i ee primeneniâ, Tome 65 (2020) no. 2, pp. 338-367. http://geodesic.mathdoc.fr/item/TVP_2020_65_2_a4/
