Prove that if $P[Xleq Y] =1$ then $E[X]leq E[Y]$












0












$begingroup$


I would like to prove/disprove that following claim:




Prove that if $P[Xleq Y] =1$ then $E[X]leq E[Y]$




How can it be done?










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$endgroup$








  • 1




    $begingroup$
    Equivalent to "if $P(Y-X ge 0)=1$ then $E[Y]-E[X] ge 0$" which, since $E[Y]-E[X] =E[Y-X]$, is equivalent to "if $P(Z ge 0)=1$ then $E[Z] ge 0$"
    $endgroup$
    – Henry
    Feb 1 at 18:20










  • $begingroup$
    On a set of full measure, $X leq Y$ then the integrals will have the same inequality.
    $endgroup$
    – Will M.
    Feb 2 at 8:11
















0












$begingroup$


I would like to prove/disprove that following claim:




Prove that if $P[Xleq Y] =1$ then $E[X]leq E[Y]$




How can it be done?










share|cite|improve this question









$endgroup$








  • 1




    $begingroup$
    Equivalent to "if $P(Y-X ge 0)=1$ then $E[Y]-E[X] ge 0$" which, since $E[Y]-E[X] =E[Y-X]$, is equivalent to "if $P(Z ge 0)=1$ then $E[Z] ge 0$"
    $endgroup$
    – Henry
    Feb 1 at 18:20










  • $begingroup$
    On a set of full measure, $X leq Y$ then the integrals will have the same inequality.
    $endgroup$
    – Will M.
    Feb 2 at 8:11














0












0








0





$begingroup$


I would like to prove/disprove that following claim:




Prove that if $P[Xleq Y] =1$ then $E[X]leq E[Y]$




How can it be done?










share|cite|improve this question









$endgroup$




I would like to prove/disprove that following claim:




Prove that if $P[Xleq Y] =1$ then $E[X]leq E[Y]$




How can it be done?







probability expected-value






share|cite|improve this question













share|cite|improve this question











share|cite|improve this question




share|cite|improve this question










asked Feb 1 at 17:25









superuser123superuser123

48628




48628








  • 1




    $begingroup$
    Equivalent to "if $P(Y-X ge 0)=1$ then $E[Y]-E[X] ge 0$" which, since $E[Y]-E[X] =E[Y-X]$, is equivalent to "if $P(Z ge 0)=1$ then $E[Z] ge 0$"
    $endgroup$
    – Henry
    Feb 1 at 18:20










  • $begingroup$
    On a set of full measure, $X leq Y$ then the integrals will have the same inequality.
    $endgroup$
    – Will M.
    Feb 2 at 8:11














  • 1




    $begingroup$
    Equivalent to "if $P(Y-X ge 0)=1$ then $E[Y]-E[X] ge 0$" which, since $E[Y]-E[X] =E[Y-X]$, is equivalent to "if $P(Z ge 0)=1$ then $E[Z] ge 0$"
    $endgroup$
    – Henry
    Feb 1 at 18:20










  • $begingroup$
    On a set of full measure, $X leq Y$ then the integrals will have the same inequality.
    $endgroup$
    – Will M.
    Feb 2 at 8:11








1




1




$begingroup$
Equivalent to "if $P(Y-X ge 0)=1$ then $E[Y]-E[X] ge 0$" which, since $E[Y]-E[X] =E[Y-X]$, is equivalent to "if $P(Z ge 0)=1$ then $E[Z] ge 0$"
$endgroup$
– Henry
Feb 1 at 18:20




$begingroup$
Equivalent to "if $P(Y-X ge 0)=1$ then $E[Y]-E[X] ge 0$" which, since $E[Y]-E[X] =E[Y-X]$, is equivalent to "if $P(Z ge 0)=1$ then $E[Z] ge 0$"
$endgroup$
– Henry
Feb 1 at 18:20












$begingroup$
On a set of full measure, $X leq Y$ then the integrals will have the same inequality.
$endgroup$
– Will M.
Feb 2 at 8:11




$begingroup$
On a set of full measure, $X leq Y$ then the integrals will have the same inequality.
$endgroup$
– Will M.
Feb 2 at 8:11










1 Answer
1






active

oldest

votes


















0












$begingroup$

If $X$ and $Y$ are random variables defined on a probability space $(Omega ,Sigma ,P )$, and $$S={omegainOmega text{ such that }Y(omega)geq X(omega)}$$
Then $P(Omegabackslash S)=P(X> Y)=0$,
$$begin{split}
E(Y)&=int_{Omega}Y(omega)dP(omega) ,,,text {(by definition)}\
&= int_{S}Y(omega)dP(omega) + int_{Omegabackslash S}Y(omega)dP(omega) \
&= int_{S}Y(omega)dP(omega) + 0 \
&geq int_{S}X(omega)dP(omega) ,,,text {(by definition of $S$)} \
&geq E(X)
end{split}$$






share|cite|improve this answer









$endgroup$













  • $begingroup$
    Your last inequality should be equality.
    $endgroup$
    – yurnero
    Feb 1 at 17:56










  • $begingroup$
    Well, depends on how you tabulate the equations. I agree that the last two expressions are equal, but when I tabulate inequalities like this, I carry over the last inequality sign. In other words, the inequality sign is between the RHS, and the original LHS, that is $E(Y)$.
    $endgroup$
    – Stefan Lafon
    Feb 1 at 18:00








  • 1




    $begingroup$
    As it is written, it is not wrong, as $=$ implies $geq$ but it looks strange stylistically IMO considering you already have $int_Omega Y=int_SY$ earlier. Put differently, if you are to write the same argument "horizontally": $$E(Y)=int_Omega Y=int_SYgeqint_SX=int_Omega X=E(X),$$ then having $geq$ in the next-to-last step just looks off.
    $endgroup$
    – yurnero
    Feb 1 at 18:12














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1 Answer
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1 Answer
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0












$begingroup$

If $X$ and $Y$ are random variables defined on a probability space $(Omega ,Sigma ,P )$, and $$S={omegainOmega text{ such that }Y(omega)geq X(omega)}$$
Then $P(Omegabackslash S)=P(X> Y)=0$,
$$begin{split}
E(Y)&=int_{Omega}Y(omega)dP(omega) ,,,text {(by definition)}\
&= int_{S}Y(omega)dP(omega) + int_{Omegabackslash S}Y(omega)dP(omega) \
&= int_{S}Y(omega)dP(omega) + 0 \
&geq int_{S}X(omega)dP(omega) ,,,text {(by definition of $S$)} \
&geq E(X)
end{split}$$






share|cite|improve this answer









$endgroup$













  • $begingroup$
    Your last inequality should be equality.
    $endgroup$
    – yurnero
    Feb 1 at 17:56










  • $begingroup$
    Well, depends on how you tabulate the equations. I agree that the last two expressions are equal, but when I tabulate inequalities like this, I carry over the last inequality sign. In other words, the inequality sign is between the RHS, and the original LHS, that is $E(Y)$.
    $endgroup$
    – Stefan Lafon
    Feb 1 at 18:00








  • 1




    $begingroup$
    As it is written, it is not wrong, as $=$ implies $geq$ but it looks strange stylistically IMO considering you already have $int_Omega Y=int_SY$ earlier. Put differently, if you are to write the same argument "horizontally": $$E(Y)=int_Omega Y=int_SYgeqint_SX=int_Omega X=E(X),$$ then having $geq$ in the next-to-last step just looks off.
    $endgroup$
    – yurnero
    Feb 1 at 18:12


















0












$begingroup$

If $X$ and $Y$ are random variables defined on a probability space $(Omega ,Sigma ,P )$, and $$S={omegainOmega text{ such that }Y(omega)geq X(omega)}$$
Then $P(Omegabackslash S)=P(X> Y)=0$,
$$begin{split}
E(Y)&=int_{Omega}Y(omega)dP(omega) ,,,text {(by definition)}\
&= int_{S}Y(omega)dP(omega) + int_{Omegabackslash S}Y(omega)dP(omega) \
&= int_{S}Y(omega)dP(omega) + 0 \
&geq int_{S}X(omega)dP(omega) ,,,text {(by definition of $S$)} \
&geq E(X)
end{split}$$






share|cite|improve this answer









$endgroup$













  • $begingroup$
    Your last inequality should be equality.
    $endgroup$
    – yurnero
    Feb 1 at 17:56










  • $begingroup$
    Well, depends on how you tabulate the equations. I agree that the last two expressions are equal, but when I tabulate inequalities like this, I carry over the last inequality sign. In other words, the inequality sign is between the RHS, and the original LHS, that is $E(Y)$.
    $endgroup$
    – Stefan Lafon
    Feb 1 at 18:00








  • 1




    $begingroup$
    As it is written, it is not wrong, as $=$ implies $geq$ but it looks strange stylistically IMO considering you already have $int_Omega Y=int_SY$ earlier. Put differently, if you are to write the same argument "horizontally": $$E(Y)=int_Omega Y=int_SYgeqint_SX=int_Omega X=E(X),$$ then having $geq$ in the next-to-last step just looks off.
    $endgroup$
    – yurnero
    Feb 1 at 18:12
















0












0








0





$begingroup$

If $X$ and $Y$ are random variables defined on a probability space $(Omega ,Sigma ,P )$, and $$S={omegainOmega text{ such that }Y(omega)geq X(omega)}$$
Then $P(Omegabackslash S)=P(X> Y)=0$,
$$begin{split}
E(Y)&=int_{Omega}Y(omega)dP(omega) ,,,text {(by definition)}\
&= int_{S}Y(omega)dP(omega) + int_{Omegabackslash S}Y(omega)dP(omega) \
&= int_{S}Y(omega)dP(omega) + 0 \
&geq int_{S}X(omega)dP(omega) ,,,text {(by definition of $S$)} \
&geq E(X)
end{split}$$






share|cite|improve this answer









$endgroup$



If $X$ and $Y$ are random variables defined on a probability space $(Omega ,Sigma ,P )$, and $$S={omegainOmega text{ such that }Y(omega)geq X(omega)}$$
Then $P(Omegabackslash S)=P(X> Y)=0$,
$$begin{split}
E(Y)&=int_{Omega}Y(omega)dP(omega) ,,,text {(by definition)}\
&= int_{S}Y(omega)dP(omega) + int_{Omegabackslash S}Y(omega)dP(omega) \
&= int_{S}Y(omega)dP(omega) + 0 \
&geq int_{S}X(omega)dP(omega) ,,,text {(by definition of $S$)} \
&geq E(X)
end{split}$$







share|cite|improve this answer












share|cite|improve this answer



share|cite|improve this answer










answered Feb 1 at 17:50









Stefan LafonStefan Lafon

3,005212




3,005212












  • $begingroup$
    Your last inequality should be equality.
    $endgroup$
    – yurnero
    Feb 1 at 17:56










  • $begingroup$
    Well, depends on how you tabulate the equations. I agree that the last two expressions are equal, but when I tabulate inequalities like this, I carry over the last inequality sign. In other words, the inequality sign is between the RHS, and the original LHS, that is $E(Y)$.
    $endgroup$
    – Stefan Lafon
    Feb 1 at 18:00








  • 1




    $begingroup$
    As it is written, it is not wrong, as $=$ implies $geq$ but it looks strange stylistically IMO considering you already have $int_Omega Y=int_SY$ earlier. Put differently, if you are to write the same argument "horizontally": $$E(Y)=int_Omega Y=int_SYgeqint_SX=int_Omega X=E(X),$$ then having $geq$ in the next-to-last step just looks off.
    $endgroup$
    – yurnero
    Feb 1 at 18:12




















  • $begingroup$
    Your last inequality should be equality.
    $endgroup$
    – yurnero
    Feb 1 at 17:56










  • $begingroup$
    Well, depends on how you tabulate the equations. I agree that the last two expressions are equal, but when I tabulate inequalities like this, I carry over the last inequality sign. In other words, the inequality sign is between the RHS, and the original LHS, that is $E(Y)$.
    $endgroup$
    – Stefan Lafon
    Feb 1 at 18:00








  • 1




    $begingroup$
    As it is written, it is not wrong, as $=$ implies $geq$ but it looks strange stylistically IMO considering you already have $int_Omega Y=int_SY$ earlier. Put differently, if you are to write the same argument "horizontally": $$E(Y)=int_Omega Y=int_SYgeqint_SX=int_Omega X=E(X),$$ then having $geq$ in the next-to-last step just looks off.
    $endgroup$
    – yurnero
    Feb 1 at 18:12


















$begingroup$
Your last inequality should be equality.
$endgroup$
– yurnero
Feb 1 at 17:56




$begingroup$
Your last inequality should be equality.
$endgroup$
– yurnero
Feb 1 at 17:56












$begingroup$
Well, depends on how you tabulate the equations. I agree that the last two expressions are equal, but when I tabulate inequalities like this, I carry over the last inequality sign. In other words, the inequality sign is between the RHS, and the original LHS, that is $E(Y)$.
$endgroup$
– Stefan Lafon
Feb 1 at 18:00






$begingroup$
Well, depends on how you tabulate the equations. I agree that the last two expressions are equal, but when I tabulate inequalities like this, I carry over the last inequality sign. In other words, the inequality sign is between the RHS, and the original LHS, that is $E(Y)$.
$endgroup$
– Stefan Lafon
Feb 1 at 18:00






1




1




$begingroup$
As it is written, it is not wrong, as $=$ implies $geq$ but it looks strange stylistically IMO considering you already have $int_Omega Y=int_SY$ earlier. Put differently, if you are to write the same argument "horizontally": $$E(Y)=int_Omega Y=int_SYgeqint_SX=int_Omega X=E(X),$$ then having $geq$ in the next-to-last step just looks off.
$endgroup$
– yurnero
Feb 1 at 18:12






$begingroup$
As it is written, it is not wrong, as $=$ implies $geq$ but it looks strange stylistically IMO considering you already have $int_Omega Y=int_SY$ earlier. Put differently, if you are to write the same argument "horizontally": $$E(Y)=int_Omega Y=int_SYgeqint_SX=int_Omega X=E(X),$$ then having $geq$ in the next-to-last step just looks off.
$endgroup$
– yurnero
Feb 1 at 18:12




















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