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Moment generating function is finite given limsup property


Convergence properties of a moment generating function for a random variable without a finite upper bound.Finding the Moment Generating Function given f(x)Express moment generating function as sum of two othersProbability: Deriving The Moment Generating Function Given the Definition of a Continuous Random Variablelinear transformation of factorial moment generating functionmixture distribution moment generating functionIdentifying random variables from moment generating functions and using characteristic functionsMoment generating function within another functionmoment-generating function is well definedExpectation property of moment generating function













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$begingroup$


For a random variable $X$ define the moment-generating function $M_X(t) = mathbbE[e^tX]$. If it is known that



$$limsup_xtoinftyfraclogmathbbP(X>x)x =- c < 0,$$



how can it be shown that $M_X(t) < infty$ for all $t in [0, c)$? (source, Ex. 2)










share|cite|improve this question









$endgroup$
















    0












    $begingroup$


    For a random variable $X$ define the moment-generating function $M_X(t) = mathbbE[e^tX]$. If it is known that



    $$limsup_xtoinftyfraclogmathbbP(X>x)x =- c < 0,$$



    how can it be shown that $M_X(t) < infty$ for all $t in [0, c)$? (source, Ex. 2)










    share|cite|improve this question









    $endgroup$














      0












      0








      0





      $begingroup$


      For a random variable $X$ define the moment-generating function $M_X(t) = mathbbE[e^tX]$. If it is known that



      $$limsup_xtoinftyfraclogmathbbP(X>x)x =- c < 0,$$



      how can it be shown that $M_X(t) < infty$ for all $t in [0, c)$? (source, Ex. 2)










      share|cite|improve this question









      $endgroup$




      For a random variable $X$ define the moment-generating function $M_X(t) = mathbbE[e^tX]$. If it is known that



      $$limsup_xtoinftyfraclogmathbbP(X>x)x =- c < 0,$$



      how can it be shown that $M_X(t) < infty$ for all $t in [0, c)$? (source, Ex. 2)







      probability probability-theory random-variables limsup-and-liminf moment-generating-functions






      share|cite|improve this question













      share|cite|improve this question











      share|cite|improve this question




      share|cite|improve this question










      asked Oct 30 '18 at 22:37









      jIIjII

      1,22021327




      1,22021327




















          1 Answer
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          $begingroup$

          $Ee^tX =int_0^infty Pe^tX >x, dx$. It is enough to show that $int_M^infty Pe^tX >x, dx <infty$ for some $M$. Let $t<c$ and $epsilon <c-t$. By hypothesis there exists $x_0$ such that $log PX>x <x( -c+epsilon)$ for $x > x_0$. Hence $PX>x <e^x(-c+epsilon)$ and $int_M^infty Pe^tX >x, dx =int_M^infty PX >(log , x) /tdx<int_M^infty x^frac -c+epsilon t dx<infty$ because $(-c+epsilon) /t <-1$.






          share|cite|improve this answer









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            $begingroup$

            $Ee^tX =int_0^infty Pe^tX >x, dx$. It is enough to show that $int_M^infty Pe^tX >x, dx <infty$ for some $M$. Let $t<c$ and $epsilon <c-t$. By hypothesis there exists $x_0$ such that $log PX>x <x( -c+epsilon)$ for $x > x_0$. Hence $PX>x <e^x(-c+epsilon)$ and $int_M^infty Pe^tX >x, dx =int_M^infty PX >(log , x) /tdx<int_M^infty x^frac -c+epsilon t dx<infty$ because $(-c+epsilon) /t <-1$.






            share|cite|improve this answer









            $endgroup$

















              1












              $begingroup$

              $Ee^tX =int_0^infty Pe^tX >x, dx$. It is enough to show that $int_M^infty Pe^tX >x, dx <infty$ for some $M$. Let $t<c$ and $epsilon <c-t$. By hypothesis there exists $x_0$ such that $log PX>x <x( -c+epsilon)$ for $x > x_0$. Hence $PX>x <e^x(-c+epsilon)$ and $int_M^infty Pe^tX >x, dx =int_M^infty PX >(log , x) /tdx<int_M^infty x^frac -c+epsilon t dx<infty$ because $(-c+epsilon) /t <-1$.






              share|cite|improve this answer









              $endgroup$















                1












                1








                1





                $begingroup$

                $Ee^tX =int_0^infty Pe^tX >x, dx$. It is enough to show that $int_M^infty Pe^tX >x, dx <infty$ for some $M$. Let $t<c$ and $epsilon <c-t$. By hypothesis there exists $x_0$ such that $log PX>x <x( -c+epsilon)$ for $x > x_0$. Hence $PX>x <e^x(-c+epsilon)$ and $int_M^infty Pe^tX >x, dx =int_M^infty PX >(log , x) /tdx<int_M^infty x^frac -c+epsilon t dx<infty$ because $(-c+epsilon) /t <-1$.






                share|cite|improve this answer









                $endgroup$



                $Ee^tX =int_0^infty Pe^tX >x, dx$. It is enough to show that $int_M^infty Pe^tX >x, dx <infty$ for some $M$. Let $t<c$ and $epsilon <c-t$. By hypothesis there exists $x_0$ such that $log PX>x <x( -c+epsilon)$ for $x > x_0$. Hence $PX>x <e^x(-c+epsilon)$ and $int_M^infty Pe^tX >x, dx =int_M^infty PX >(log , x) /tdx<int_M^infty x^frac -c+epsilon t dx<infty$ because $(-c+epsilon) /t <-1$.







                share|cite|improve this answer












                share|cite|improve this answer



                share|cite|improve this answer










                answered Oct 31 '18 at 0:10









                Kavi Rama MurthyKavi Rama Murthy

                71.7k53170




                71.7k53170



























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