Conditioning on an union of sigma algebras












0












$begingroup$


Let $Omega = [0,1]$, $mathcal{F} = mathcal{B}(0,1)$, P=Lebesgue measure.



Let $X(w)=
begin{cases}
1 quad w in [0,1/2] \
0 quad w notin [0,1/2]
end{cases}$



Let $Y(w)=
begin{cases}
1 quad w in [0,3/4] \
0 quad w notin [0,3/4]
end{cases}$



Let $Z(w)=
begin{cases}
1 quad w in [1/4,3/4] \
0 quad w notin [1/4,3/4]
end{cases}$



I succeeded in proving that X is independent from Z and E(X|Y=1)=2/3 conditioning on the sub-sigma algebras generated by Z and Y, respectively.



Now my aim is discovering the value of E{X|(Y,Z)} but I don't know how to condition X on an union of sigma algebras.










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$endgroup$

















    0












    $begingroup$


    Let $Omega = [0,1]$, $mathcal{F} = mathcal{B}(0,1)$, P=Lebesgue measure.



    Let $X(w)=
    begin{cases}
    1 quad w in [0,1/2] \
    0 quad w notin [0,1/2]
    end{cases}$



    Let $Y(w)=
    begin{cases}
    1 quad w in [0,3/4] \
    0 quad w notin [0,3/4]
    end{cases}$



    Let $Z(w)=
    begin{cases}
    1 quad w in [1/4,3/4] \
    0 quad w notin [1/4,3/4]
    end{cases}$



    I succeeded in proving that X is independent from Z and E(X|Y=1)=2/3 conditioning on the sub-sigma algebras generated by Z and Y, respectively.



    Now my aim is discovering the value of E{X|(Y,Z)} but I don't know how to condition X on an union of sigma algebras.










    share|cite|improve this question











    $endgroup$















      0












      0








      0





      $begingroup$


      Let $Omega = [0,1]$, $mathcal{F} = mathcal{B}(0,1)$, P=Lebesgue measure.



      Let $X(w)=
      begin{cases}
      1 quad w in [0,1/2] \
      0 quad w notin [0,1/2]
      end{cases}$



      Let $Y(w)=
      begin{cases}
      1 quad w in [0,3/4] \
      0 quad w notin [0,3/4]
      end{cases}$



      Let $Z(w)=
      begin{cases}
      1 quad w in [1/4,3/4] \
      0 quad w notin [1/4,3/4]
      end{cases}$



      I succeeded in proving that X is independent from Z and E(X|Y=1)=2/3 conditioning on the sub-sigma algebras generated by Z and Y, respectively.



      Now my aim is discovering the value of E{X|(Y,Z)} but I don't know how to condition X on an union of sigma algebras.










      share|cite|improve this question











      $endgroup$




      Let $Omega = [0,1]$, $mathcal{F} = mathcal{B}(0,1)$, P=Lebesgue measure.



      Let $X(w)=
      begin{cases}
      1 quad w in [0,1/2] \
      0 quad w notin [0,1/2]
      end{cases}$



      Let $Y(w)=
      begin{cases}
      1 quad w in [0,3/4] \
      0 quad w notin [0,3/4]
      end{cases}$



      Let $Z(w)=
      begin{cases}
      1 quad w in [1/4,3/4] \
      0 quad w notin [1/4,3/4]
      end{cases}$



      I succeeded in proving that X is independent from Z and E(X|Y=1)=2/3 conditioning on the sub-sigma algebras generated by Z and Y, respectively.



      Now my aim is discovering the value of E{X|(Y,Z)} but I don't know how to condition X on an union of sigma algebras.







      measure-theory lebesgue-measure conditional-expectation






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      edited Jan 18 at 11:58







      ank13

















      asked Jan 18 at 11:46









      ank13ank13

      255




      255






















          3 Answers
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          $begingroup$


          • $mathbb E[Xmid Y=1,Z=1]=P(win[0,frac12]mid win[frac14,frac34])=P(win[frac14,frac12]/P(win[frac14,frac34])=frac12$

          • $mathbb E[Xmid Y=1,Z=0]=P(win[0,frac12]mid win[0,frac14))=P(win[0,frac14)/P(win[0,frac14))=1$

          • $mathbb E[Xmid Y=0,Z=0]=P(win[0,frac12]mid win(frac34,1])=P(winvarnothing)/P(win(frac34,1])=0$


          Observe that ${Y=0,Z=1}=varnothing$ so conditioning on that event can be left out.



          This shows that: $$mathbb E[Xmid (Y,Z)]=Y-frac12Z$$






          share|cite|improve this answer









          $endgroup$





















            0












            $begingroup$

            Hint: Note that $$
            Y^{-1}({1})=[0,frac{3}{4}],
            $$

            $$
            Z^{-1}({1})=[frac{1}{4},frac{3}{4}].
            $$
            It says that the $sigma$-algebra generated by $(Y,Z)$ is also generated by
            $
            [0,frac{1}{4}]=Y^{-1}({1})setminus Z^{-1}({1})
            $
            and $[frac{1}{4},frac{3}{4}]$.






            share|cite|improve this answer









            $endgroup$





















              0












              $begingroup$

              For whatever it is worth, let me describe a general procedure for answering such questions. It is easy to write $sigma(Y,Z)$ as the sigma algebra generated by a partition ${A_1,A_2,cdots ,A_n}$. Once you identify the sets $A_i$ you can compute $E(X|Y,Z)$ by the formula $E(X|Y,Z)=sum c_iI_{A_i}$ where $c_i=frac {int_{A_i} XdP} {P(A_i)}$.






              share|cite|improve this answer









              $endgroup$













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                3 Answers
                3






                active

                oldest

                votes








                3 Answers
                3






                active

                oldest

                votes









                active

                oldest

                votes






                active

                oldest

                votes









                0












                $begingroup$


                • $mathbb E[Xmid Y=1,Z=1]=P(win[0,frac12]mid win[frac14,frac34])=P(win[frac14,frac12]/P(win[frac14,frac34])=frac12$

                • $mathbb E[Xmid Y=1,Z=0]=P(win[0,frac12]mid win[0,frac14))=P(win[0,frac14)/P(win[0,frac14))=1$

                • $mathbb E[Xmid Y=0,Z=0]=P(win[0,frac12]mid win(frac34,1])=P(winvarnothing)/P(win(frac34,1])=0$


                Observe that ${Y=0,Z=1}=varnothing$ so conditioning on that event can be left out.



                This shows that: $$mathbb E[Xmid (Y,Z)]=Y-frac12Z$$






                share|cite|improve this answer









                $endgroup$


















                  0












                  $begingroup$


                  • $mathbb E[Xmid Y=1,Z=1]=P(win[0,frac12]mid win[frac14,frac34])=P(win[frac14,frac12]/P(win[frac14,frac34])=frac12$

                  • $mathbb E[Xmid Y=1,Z=0]=P(win[0,frac12]mid win[0,frac14))=P(win[0,frac14)/P(win[0,frac14))=1$

                  • $mathbb E[Xmid Y=0,Z=0]=P(win[0,frac12]mid win(frac34,1])=P(winvarnothing)/P(win(frac34,1])=0$


                  Observe that ${Y=0,Z=1}=varnothing$ so conditioning on that event can be left out.



                  This shows that: $$mathbb E[Xmid (Y,Z)]=Y-frac12Z$$






                  share|cite|improve this answer









                  $endgroup$
















                    0












                    0








                    0





                    $begingroup$


                    • $mathbb E[Xmid Y=1,Z=1]=P(win[0,frac12]mid win[frac14,frac34])=P(win[frac14,frac12]/P(win[frac14,frac34])=frac12$

                    • $mathbb E[Xmid Y=1,Z=0]=P(win[0,frac12]mid win[0,frac14))=P(win[0,frac14)/P(win[0,frac14))=1$

                    • $mathbb E[Xmid Y=0,Z=0]=P(win[0,frac12]mid win(frac34,1])=P(winvarnothing)/P(win(frac34,1])=0$


                    Observe that ${Y=0,Z=1}=varnothing$ so conditioning on that event can be left out.



                    This shows that: $$mathbb E[Xmid (Y,Z)]=Y-frac12Z$$






                    share|cite|improve this answer









                    $endgroup$




                    • $mathbb E[Xmid Y=1,Z=1]=P(win[0,frac12]mid win[frac14,frac34])=P(win[frac14,frac12]/P(win[frac14,frac34])=frac12$

                    • $mathbb E[Xmid Y=1,Z=0]=P(win[0,frac12]mid win[0,frac14))=P(win[0,frac14)/P(win[0,frac14))=1$

                    • $mathbb E[Xmid Y=0,Z=0]=P(win[0,frac12]mid win(frac34,1])=P(winvarnothing)/P(win(frac34,1])=0$


                    Observe that ${Y=0,Z=1}=varnothing$ so conditioning on that event can be left out.



                    This shows that: $$mathbb E[Xmid (Y,Z)]=Y-frac12Z$$







                    share|cite|improve this answer












                    share|cite|improve this answer



                    share|cite|improve this answer










                    answered Jan 18 at 12:22









                    drhabdrhab

                    102k545136




                    102k545136























                        0












                        $begingroup$

                        Hint: Note that $$
                        Y^{-1}({1})=[0,frac{3}{4}],
                        $$

                        $$
                        Z^{-1}({1})=[frac{1}{4},frac{3}{4}].
                        $$
                        It says that the $sigma$-algebra generated by $(Y,Z)$ is also generated by
                        $
                        [0,frac{1}{4}]=Y^{-1}({1})setminus Z^{-1}({1})
                        $
                        and $[frac{1}{4},frac{3}{4}]$.






                        share|cite|improve this answer









                        $endgroup$


















                          0












                          $begingroup$

                          Hint: Note that $$
                          Y^{-1}({1})=[0,frac{3}{4}],
                          $$

                          $$
                          Z^{-1}({1})=[frac{1}{4},frac{3}{4}].
                          $$
                          It says that the $sigma$-algebra generated by $(Y,Z)$ is also generated by
                          $
                          [0,frac{1}{4}]=Y^{-1}({1})setminus Z^{-1}({1})
                          $
                          and $[frac{1}{4},frac{3}{4}]$.






                          share|cite|improve this answer









                          $endgroup$
















                            0












                            0








                            0





                            $begingroup$

                            Hint: Note that $$
                            Y^{-1}({1})=[0,frac{3}{4}],
                            $$

                            $$
                            Z^{-1}({1})=[frac{1}{4},frac{3}{4}].
                            $$
                            It says that the $sigma$-algebra generated by $(Y,Z)$ is also generated by
                            $
                            [0,frac{1}{4}]=Y^{-1}({1})setminus Z^{-1}({1})
                            $
                            and $[frac{1}{4},frac{3}{4}]$.






                            share|cite|improve this answer









                            $endgroup$



                            Hint: Note that $$
                            Y^{-1}({1})=[0,frac{3}{4}],
                            $$

                            $$
                            Z^{-1}({1})=[frac{1}{4},frac{3}{4}].
                            $$
                            It says that the $sigma$-algebra generated by $(Y,Z)$ is also generated by
                            $
                            [0,frac{1}{4}]=Y^{-1}({1})setminus Z^{-1}({1})
                            $
                            and $[frac{1}{4},frac{3}{4}]$.







                            share|cite|improve this answer












                            share|cite|improve this answer



                            share|cite|improve this answer










                            answered Jan 18 at 12:24









                            SongSong

                            15.6k1736




                            15.6k1736























                                0












                                $begingroup$

                                For whatever it is worth, let me describe a general procedure for answering such questions. It is easy to write $sigma(Y,Z)$ as the sigma algebra generated by a partition ${A_1,A_2,cdots ,A_n}$. Once you identify the sets $A_i$ you can compute $E(X|Y,Z)$ by the formula $E(X|Y,Z)=sum c_iI_{A_i}$ where $c_i=frac {int_{A_i} XdP} {P(A_i)}$.






                                share|cite|improve this answer









                                $endgroup$


















                                  0












                                  $begingroup$

                                  For whatever it is worth, let me describe a general procedure for answering such questions. It is easy to write $sigma(Y,Z)$ as the sigma algebra generated by a partition ${A_1,A_2,cdots ,A_n}$. Once you identify the sets $A_i$ you can compute $E(X|Y,Z)$ by the formula $E(X|Y,Z)=sum c_iI_{A_i}$ where $c_i=frac {int_{A_i} XdP} {P(A_i)}$.






                                  share|cite|improve this answer









                                  $endgroup$
















                                    0












                                    0








                                    0





                                    $begingroup$

                                    For whatever it is worth, let me describe a general procedure for answering such questions. It is easy to write $sigma(Y,Z)$ as the sigma algebra generated by a partition ${A_1,A_2,cdots ,A_n}$. Once you identify the sets $A_i$ you can compute $E(X|Y,Z)$ by the formula $E(X|Y,Z)=sum c_iI_{A_i}$ where $c_i=frac {int_{A_i} XdP} {P(A_i)}$.






                                    share|cite|improve this answer









                                    $endgroup$



                                    For whatever it is worth, let me describe a general procedure for answering such questions. It is easy to write $sigma(Y,Z)$ as the sigma algebra generated by a partition ${A_1,A_2,cdots ,A_n}$. Once you identify the sets $A_i$ you can compute $E(X|Y,Z)$ by the formula $E(X|Y,Z)=sum c_iI_{A_i}$ where $c_i=frac {int_{A_i} XdP} {P(A_i)}$.







                                    share|cite|improve this answer












                                    share|cite|improve this answer



                                    share|cite|improve this answer










                                    answered Jan 18 at 12:30









                                    Kavi Rama MurthyKavi Rama Murthy

                                    63.2k42362




                                    63.2k42362






























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