Applying mean value theorem 1 to expectation.












1












$begingroup$


I would like to prove that for an arbitrary real random variable $X$ defined on some continuous and closed interval $S$, if functions $h(x)$ and $g(x)$ are bounded, continuous and non-zero over $S$, we can find some $x_0 in S$ such that
$$
frac{mathbb{E}[h(X)]}{mathbb{E}[g(X)]} = frac{h(x_0)}{g(x_0)}
$$

$X$ can be either continuous or discrete.



My proof is
$$
frac{mathbb{E}[h(X)]}{mathbb{E}[g(X)]} = frac{int_S h(x) d F_X(x)}{int_S g(x) d F_X(x)} = frac{int_S frac{h(x)}{g(x)} g(x) d F_X(x)}{int_S g(x) d F_X(x)} = frac{frac{h(x_0)}{g(x_0)} int_S g(x) d F_X(x)}{int_S g(x) d F_X(x)} = frac{h(x_0)}{g(x_0)}
$$

because $h(x)/g(x)$ is continuous on $S$. Is there anything I am missing? Not an expert in probability, so I am wondering if there is any formal theorem for this result.










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$endgroup$












  • $begingroup$
    This mean value theorem only holds if h/g does not change sign on S
    $endgroup$
    – Paul Cottalorda
    Jan 20 at 1:00










  • $begingroup$
    I think that your proof is correct. $h/g$ is continuous on $S$ so the (first) MVT for integrals holds. BTW, $h/g$ does not change sign (because both $f$ and $g$ preserve the sign by continuity ) but I do not think that is relevant.
    $endgroup$
    – GReyes
    Jan 20 at 8:04
















1












$begingroup$


I would like to prove that for an arbitrary real random variable $X$ defined on some continuous and closed interval $S$, if functions $h(x)$ and $g(x)$ are bounded, continuous and non-zero over $S$, we can find some $x_0 in S$ such that
$$
frac{mathbb{E}[h(X)]}{mathbb{E}[g(X)]} = frac{h(x_0)}{g(x_0)}
$$

$X$ can be either continuous or discrete.



My proof is
$$
frac{mathbb{E}[h(X)]}{mathbb{E}[g(X)]} = frac{int_S h(x) d F_X(x)}{int_S g(x) d F_X(x)} = frac{int_S frac{h(x)}{g(x)} g(x) d F_X(x)}{int_S g(x) d F_X(x)} = frac{frac{h(x_0)}{g(x_0)} int_S g(x) d F_X(x)}{int_S g(x) d F_X(x)} = frac{h(x_0)}{g(x_0)}
$$

because $h(x)/g(x)$ is continuous on $S$. Is there anything I am missing? Not an expert in probability, so I am wondering if there is any formal theorem for this result.










share|cite|improve this question











$endgroup$












  • $begingroup$
    This mean value theorem only holds if h/g does not change sign on S
    $endgroup$
    – Paul Cottalorda
    Jan 20 at 1:00










  • $begingroup$
    I think that your proof is correct. $h/g$ is continuous on $S$ so the (first) MVT for integrals holds. BTW, $h/g$ does not change sign (because both $f$ and $g$ preserve the sign by continuity ) but I do not think that is relevant.
    $endgroup$
    – GReyes
    Jan 20 at 8:04














1












1








1





$begingroup$


I would like to prove that for an arbitrary real random variable $X$ defined on some continuous and closed interval $S$, if functions $h(x)$ and $g(x)$ are bounded, continuous and non-zero over $S$, we can find some $x_0 in S$ such that
$$
frac{mathbb{E}[h(X)]}{mathbb{E}[g(X)]} = frac{h(x_0)}{g(x_0)}
$$

$X$ can be either continuous or discrete.



My proof is
$$
frac{mathbb{E}[h(X)]}{mathbb{E}[g(X)]} = frac{int_S h(x) d F_X(x)}{int_S g(x) d F_X(x)} = frac{int_S frac{h(x)}{g(x)} g(x) d F_X(x)}{int_S g(x) d F_X(x)} = frac{frac{h(x_0)}{g(x_0)} int_S g(x) d F_X(x)}{int_S g(x) d F_X(x)} = frac{h(x_0)}{g(x_0)}
$$

because $h(x)/g(x)$ is continuous on $S$. Is there anything I am missing? Not an expert in probability, so I am wondering if there is any formal theorem for this result.










share|cite|improve this question











$endgroup$




I would like to prove that for an arbitrary real random variable $X$ defined on some continuous and closed interval $S$, if functions $h(x)$ and $g(x)$ are bounded, continuous and non-zero over $S$, we can find some $x_0 in S$ such that
$$
frac{mathbb{E}[h(X)]}{mathbb{E}[g(X)]} = frac{h(x_0)}{g(x_0)}
$$

$X$ can be either continuous or discrete.



My proof is
$$
frac{mathbb{E}[h(X)]}{mathbb{E}[g(X)]} = frac{int_S h(x) d F_X(x)}{int_S g(x) d F_X(x)} = frac{int_S frac{h(x)}{g(x)} g(x) d F_X(x)}{int_S g(x) d F_X(x)} = frac{frac{h(x_0)}{g(x_0)} int_S g(x) d F_X(x)}{int_S g(x) d F_X(x)} = frac{h(x_0)}{g(x_0)}
$$

because $h(x)/g(x)$ is continuous on $S$. Is there anything I am missing? Not an expert in probability, so I am wondering if there is any formal theorem for this result.







probability integration






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share|cite|improve this question













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edited Jan 19 at 23:49









David G. Stork

11k41432




11k41432










asked Jan 19 at 23:39









LiangLiang

907




907












  • $begingroup$
    This mean value theorem only holds if h/g does not change sign on S
    $endgroup$
    – Paul Cottalorda
    Jan 20 at 1:00










  • $begingroup$
    I think that your proof is correct. $h/g$ is continuous on $S$ so the (first) MVT for integrals holds. BTW, $h/g$ does not change sign (because both $f$ and $g$ preserve the sign by continuity ) but I do not think that is relevant.
    $endgroup$
    – GReyes
    Jan 20 at 8:04


















  • $begingroup$
    This mean value theorem only holds if h/g does not change sign on S
    $endgroup$
    – Paul Cottalorda
    Jan 20 at 1:00










  • $begingroup$
    I think that your proof is correct. $h/g$ is continuous on $S$ so the (first) MVT for integrals holds. BTW, $h/g$ does not change sign (because both $f$ and $g$ preserve the sign by continuity ) but I do not think that is relevant.
    $endgroup$
    – GReyes
    Jan 20 at 8:04
















$begingroup$
This mean value theorem only holds if h/g does not change sign on S
$endgroup$
– Paul Cottalorda
Jan 20 at 1:00




$begingroup$
This mean value theorem only holds if h/g does not change sign on S
$endgroup$
– Paul Cottalorda
Jan 20 at 1:00












$begingroup$
I think that your proof is correct. $h/g$ is continuous on $S$ so the (first) MVT for integrals holds. BTW, $h/g$ does not change sign (because both $f$ and $g$ preserve the sign by continuity ) but I do not think that is relevant.
$endgroup$
– GReyes
Jan 20 at 8:04




$begingroup$
I think that your proof is correct. $h/g$ is continuous on $S$ so the (first) MVT for integrals holds. BTW, $h/g$ does not change sign (because both $f$ and $g$ preserve the sign by continuity ) but I do not think that is relevant.
$endgroup$
– GReyes
Jan 20 at 8:04










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