Inequalities in probability theory











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I got stuck while solving this problem. First of all, i tried to prove directly from definition, but this doesnt led anywhere. Perhaps Jensen inequality may help? But we dont have convexity of f or of g. Any ideas on how we can tackle this problem?










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    enter image description here



    I got stuck while solving this problem. First of all, i tried to prove directly from definition, but this doesnt led anywhere. Perhaps Jensen inequality may help? But we dont have convexity of f or of g. Any ideas on how we can tackle this problem?










    share|cite|improve this question
























      up vote
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      up vote
      2
      down vote

      favorite











      enter image description here



      I got stuck while solving this problem. First of all, i tried to prove directly from definition, but this doesnt led anywhere. Perhaps Jensen inequality may help? But we dont have convexity of f or of g. Any ideas on how we can tackle this problem?










      share|cite|improve this question













      enter image description here



      I got stuck while solving this problem. First of all, i tried to prove directly from definition, but this doesnt led anywhere. Perhaps Jensen inequality may help? But we dont have convexity of f or of g. Any ideas on how we can tackle this problem?







      probability






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      asked 2 hours ago









      Neymar

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      374113






















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          Let $X$ and $Y$ be iid, then we have



          $$E[(f(X)-f(Y))(g(X)-g(Y))] ge 0$$



          $$E[f(X)g(X)+f(Y)g(Y)-f(Y)g(X)-f(X)g(Y)] ge 0$$



          $$E[f(X)g(X)]+E[f(Y)g(Y)]-E[f(Y)g(X)]-E[f(X)g(Y)] ge 0$$



          By independence,



          $$E[f(X)g(X)]+E[f(Y)g(Y)]-E[f(Y)]E[g(X)]-E[f(X)]E[g(Y)] ge 0$$



          Since $X$ and $Y$ are identically distributed



          $$E[f(X)g(X)]+E[f(X)g(X)]-E[f(X)]E[g(X)]-E[f(X)]E[g(X)] ge 0$$



          $$2E[f(X)g(X)]-2E[f(X)]E[g(X)] ge 0$$



          $$E[f(X)g(X)] ge E[f(X)]E[g(X)]$$






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            For every real number $x$, $(f(X)-f(x))(g(X)-g(x)) geq 0$, thus $mathbb{E}[f(X)g(X)] + f(x)g(x) geq f(x)mathbb{E}[g(X)] + g(x)mathbb{E}[f(x)$.



            Then integrate wrt $dP_X$.






            share|cite|improve this answer








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              2 Answers
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              2 Answers
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              active

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              up vote
              2
              down vote



              accepted










              Let $X$ and $Y$ be iid, then we have



              $$E[(f(X)-f(Y))(g(X)-g(Y))] ge 0$$



              $$E[f(X)g(X)+f(Y)g(Y)-f(Y)g(X)-f(X)g(Y)] ge 0$$



              $$E[f(X)g(X)]+E[f(Y)g(Y)]-E[f(Y)g(X)]-E[f(X)g(Y)] ge 0$$



              By independence,



              $$E[f(X)g(X)]+E[f(Y)g(Y)]-E[f(Y)]E[g(X)]-E[f(X)]E[g(Y)] ge 0$$



              Since $X$ and $Y$ are identically distributed



              $$E[f(X)g(X)]+E[f(X)g(X)]-E[f(X)]E[g(X)]-E[f(X)]E[g(X)] ge 0$$



              $$2E[f(X)g(X)]-2E[f(X)]E[g(X)] ge 0$$



              $$E[f(X)g(X)] ge E[f(X)]E[g(X)]$$






              share|cite|improve this answer

























                up vote
                2
                down vote



                accepted










                Let $X$ and $Y$ be iid, then we have



                $$E[(f(X)-f(Y))(g(X)-g(Y))] ge 0$$



                $$E[f(X)g(X)+f(Y)g(Y)-f(Y)g(X)-f(X)g(Y)] ge 0$$



                $$E[f(X)g(X)]+E[f(Y)g(Y)]-E[f(Y)g(X)]-E[f(X)g(Y)] ge 0$$



                By independence,



                $$E[f(X)g(X)]+E[f(Y)g(Y)]-E[f(Y)]E[g(X)]-E[f(X)]E[g(Y)] ge 0$$



                Since $X$ and $Y$ are identically distributed



                $$E[f(X)g(X)]+E[f(X)g(X)]-E[f(X)]E[g(X)]-E[f(X)]E[g(X)] ge 0$$



                $$2E[f(X)g(X)]-2E[f(X)]E[g(X)] ge 0$$



                $$E[f(X)g(X)] ge E[f(X)]E[g(X)]$$






                share|cite|improve this answer























                  up vote
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                  down vote



                  accepted







                  up vote
                  2
                  down vote



                  accepted






                  Let $X$ and $Y$ be iid, then we have



                  $$E[(f(X)-f(Y))(g(X)-g(Y))] ge 0$$



                  $$E[f(X)g(X)+f(Y)g(Y)-f(Y)g(X)-f(X)g(Y)] ge 0$$



                  $$E[f(X)g(X)]+E[f(Y)g(Y)]-E[f(Y)g(X)]-E[f(X)g(Y)] ge 0$$



                  By independence,



                  $$E[f(X)g(X)]+E[f(Y)g(Y)]-E[f(Y)]E[g(X)]-E[f(X)]E[g(Y)] ge 0$$



                  Since $X$ and $Y$ are identically distributed



                  $$E[f(X)g(X)]+E[f(X)g(X)]-E[f(X)]E[g(X)]-E[f(X)]E[g(X)] ge 0$$



                  $$2E[f(X)g(X)]-2E[f(X)]E[g(X)] ge 0$$



                  $$E[f(X)g(X)] ge E[f(X)]E[g(X)]$$






                  share|cite|improve this answer












                  Let $X$ and $Y$ be iid, then we have



                  $$E[(f(X)-f(Y))(g(X)-g(Y))] ge 0$$



                  $$E[f(X)g(X)+f(Y)g(Y)-f(Y)g(X)-f(X)g(Y)] ge 0$$



                  $$E[f(X)g(X)]+E[f(Y)g(Y)]-E[f(Y)g(X)]-E[f(X)g(Y)] ge 0$$



                  By independence,



                  $$E[f(X)g(X)]+E[f(Y)g(Y)]-E[f(Y)]E[g(X)]-E[f(X)]E[g(Y)] ge 0$$



                  Since $X$ and $Y$ are identically distributed



                  $$E[f(X)g(X)]+E[f(X)g(X)]-E[f(X)]E[g(X)]-E[f(X)]E[g(X)] ge 0$$



                  $$2E[f(X)g(X)]-2E[f(X)]E[g(X)] ge 0$$



                  $$E[f(X)g(X)] ge E[f(X)]E[g(X)]$$







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                  answered 1 hour ago









                  Siong Thye Goh

                  97.9k1463116




                  97.9k1463116






















                      up vote
                      1
                      down vote













                      For every real number $x$, $(f(X)-f(x))(g(X)-g(x)) geq 0$, thus $mathbb{E}[f(X)g(X)] + f(x)g(x) geq f(x)mathbb{E}[g(X)] + g(x)mathbb{E}[f(x)$.



                      Then integrate wrt $dP_X$.






                      share|cite|improve this answer








                      New contributor




                      Mindlack is a new contributor to this site. Take care in asking for clarification, commenting, and answering.
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                        up vote
                        1
                        down vote













                        For every real number $x$, $(f(X)-f(x))(g(X)-g(x)) geq 0$, thus $mathbb{E}[f(X)g(X)] + f(x)g(x) geq f(x)mathbb{E}[g(X)] + g(x)mathbb{E}[f(x)$.



                        Then integrate wrt $dP_X$.






                        share|cite|improve this answer








                        New contributor




                        Mindlack is a new contributor to this site. Take care in asking for clarification, commenting, and answering.
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                          up vote
                          1
                          down vote










                          up vote
                          1
                          down vote









                          For every real number $x$, $(f(X)-f(x))(g(X)-g(x)) geq 0$, thus $mathbb{E}[f(X)g(X)] + f(x)g(x) geq f(x)mathbb{E}[g(X)] + g(x)mathbb{E}[f(x)$.



                          Then integrate wrt $dP_X$.






                          share|cite|improve this answer








                          New contributor




                          Mindlack is a new contributor to this site. Take care in asking for clarification, commenting, and answering.
                          Check out our Code of Conduct.









                          For every real number $x$, $(f(X)-f(x))(g(X)-g(x)) geq 0$, thus $mathbb{E}[f(X)g(X)] + f(x)g(x) geq f(x)mathbb{E}[g(X)] + g(x)mathbb{E}[f(x)$.



                          Then integrate wrt $dP_X$.







                          share|cite|improve this answer








                          New contributor




                          Mindlack is a new contributor to this site. Take care in asking for clarification, commenting, and answering.
                          Check out our Code of Conduct.









                          share|cite|improve this answer



                          share|cite|improve this answer






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                          answered 1 hour ago









                          Mindlack

                          88716




                          88716




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