Need help with transformation formula: how to get the pdf of $T$ given you know the pdf of $ln(T)$












1












$begingroup$


I know the answer is:



$$f_T(t) = frac{d}{dt} F_{ln t}(ln(t)) = f_{ln t}(ln t) frac{1}{t}$$



which you can get by using cdfs and taking the derivative.



$$F_T(t) = P(T le t) = P(ln(T) le ln(t)) = F_{ln t}(ln(t))$$





My question: I am having difficulty getting the answer using this alternative approach which uses the formula:



$$f_Y(y) = f_X(x) frac{dx}{dy} quad text{with} quad x = g^{-1}(y)$$



My attempt:



Here $Y = T$ and $X = ln T$ so we have



$$f_T(t) = f_{ln T}(x) frac{dx}{dt} $$



and now I have to find $x = g^{-1}(t)$ but at this point I'm stuck. I know $x = lnt$ but I'm having issues writing this out formally.



It's tripping me out because we go from $lnt$ to $t$ which is a simpler function. Thanks for your help and patience.










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$endgroup$












  • $begingroup$
    $dt=tdx = e^xdx$
    $endgroup$
    – phdmba7of12
    Jan 28 at 19:17










  • $begingroup$
    the pdf is defined such that $f(x)dx$ gives the probability that $x$ will be measured in between $x$ and $x+dx$
    $endgroup$
    – phdmba7of12
    Jan 28 at 19:19








  • 1




    $begingroup$
    @phdmba7of12 thanks for your help... hmm it seems $t=e^x$? How do you get to the conclusion that $x=g^{-1}(t) = lnt$? Thanks again!
    $endgroup$
    – HJ_beginner
    Jan 28 at 19:24










  • $begingroup$
    $e^{ln z}=z$ just exponentiate both sides of the $x = ln t$ equation
    $endgroup$
    – phdmba7of12
    Jan 28 at 19:25










  • $begingroup$
    one way might be to use delta function as kernel for the transform: $$F(x)=int_0^x f(x)dx$$ and $$F(ln t)=int_0^{ln t}f(ln t)dleft(ln t right)$$
    $endgroup$
    – phdmba7of12
    Jan 28 at 19:27
















1












$begingroup$


I know the answer is:



$$f_T(t) = frac{d}{dt} F_{ln t}(ln(t)) = f_{ln t}(ln t) frac{1}{t}$$



which you can get by using cdfs and taking the derivative.



$$F_T(t) = P(T le t) = P(ln(T) le ln(t)) = F_{ln t}(ln(t))$$





My question: I am having difficulty getting the answer using this alternative approach which uses the formula:



$$f_Y(y) = f_X(x) frac{dx}{dy} quad text{with} quad x = g^{-1}(y)$$



My attempt:



Here $Y = T$ and $X = ln T$ so we have



$$f_T(t) = f_{ln T}(x) frac{dx}{dt} $$



and now I have to find $x = g^{-1}(t)$ but at this point I'm stuck. I know $x = lnt$ but I'm having issues writing this out formally.



It's tripping me out because we go from $lnt$ to $t$ which is a simpler function. Thanks for your help and patience.










share|cite|improve this question











$endgroup$












  • $begingroup$
    $dt=tdx = e^xdx$
    $endgroup$
    – phdmba7of12
    Jan 28 at 19:17










  • $begingroup$
    the pdf is defined such that $f(x)dx$ gives the probability that $x$ will be measured in between $x$ and $x+dx$
    $endgroup$
    – phdmba7of12
    Jan 28 at 19:19








  • 1




    $begingroup$
    @phdmba7of12 thanks for your help... hmm it seems $t=e^x$? How do you get to the conclusion that $x=g^{-1}(t) = lnt$? Thanks again!
    $endgroup$
    – HJ_beginner
    Jan 28 at 19:24










  • $begingroup$
    $e^{ln z}=z$ just exponentiate both sides of the $x = ln t$ equation
    $endgroup$
    – phdmba7of12
    Jan 28 at 19:25










  • $begingroup$
    one way might be to use delta function as kernel for the transform: $$F(x)=int_0^x f(x)dx$$ and $$F(ln t)=int_0^{ln t}f(ln t)dleft(ln t right)$$
    $endgroup$
    – phdmba7of12
    Jan 28 at 19:27














1












1








1





$begingroup$


I know the answer is:



$$f_T(t) = frac{d}{dt} F_{ln t}(ln(t)) = f_{ln t}(ln t) frac{1}{t}$$



which you can get by using cdfs and taking the derivative.



$$F_T(t) = P(T le t) = P(ln(T) le ln(t)) = F_{ln t}(ln(t))$$





My question: I am having difficulty getting the answer using this alternative approach which uses the formula:



$$f_Y(y) = f_X(x) frac{dx}{dy} quad text{with} quad x = g^{-1}(y)$$



My attempt:



Here $Y = T$ and $X = ln T$ so we have



$$f_T(t) = f_{ln T}(x) frac{dx}{dt} $$



and now I have to find $x = g^{-1}(t)$ but at this point I'm stuck. I know $x = lnt$ but I'm having issues writing this out formally.



It's tripping me out because we go from $lnt$ to $t$ which is a simpler function. Thanks for your help and patience.










share|cite|improve this question











$endgroup$




I know the answer is:



$$f_T(t) = frac{d}{dt} F_{ln t}(ln(t)) = f_{ln t}(ln t) frac{1}{t}$$



which you can get by using cdfs and taking the derivative.



$$F_T(t) = P(T le t) = P(ln(T) le ln(t)) = F_{ln t}(ln(t))$$





My question: I am having difficulty getting the answer using this alternative approach which uses the formula:



$$f_Y(y) = f_X(x) frac{dx}{dy} quad text{with} quad x = g^{-1}(y)$$



My attempt:



Here $Y = T$ and $X = ln T$ so we have



$$f_T(t) = f_{ln T}(x) frac{dx}{dt} $$



and now I have to find $x = g^{-1}(t)$ but at this point I'm stuck. I know $x = lnt$ but I'm having issues writing this out formally.



It's tripping me out because we go from $lnt$ to $t$ which is a simpler function. Thanks for your help and patience.







probability density-function






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share|cite|improve this question













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share|cite|improve this question








edited Jan 28 at 20:37









Bernard

123k741117




123k741117










asked Jan 28 at 19:12









HJ_beginnerHJ_beginner

8951415




8951415












  • $begingroup$
    $dt=tdx = e^xdx$
    $endgroup$
    – phdmba7of12
    Jan 28 at 19:17










  • $begingroup$
    the pdf is defined such that $f(x)dx$ gives the probability that $x$ will be measured in between $x$ and $x+dx$
    $endgroup$
    – phdmba7of12
    Jan 28 at 19:19








  • 1




    $begingroup$
    @phdmba7of12 thanks for your help... hmm it seems $t=e^x$? How do you get to the conclusion that $x=g^{-1}(t) = lnt$? Thanks again!
    $endgroup$
    – HJ_beginner
    Jan 28 at 19:24










  • $begingroup$
    $e^{ln z}=z$ just exponentiate both sides of the $x = ln t$ equation
    $endgroup$
    – phdmba7of12
    Jan 28 at 19:25










  • $begingroup$
    one way might be to use delta function as kernel for the transform: $$F(x)=int_0^x f(x)dx$$ and $$F(ln t)=int_0^{ln t}f(ln t)dleft(ln t right)$$
    $endgroup$
    – phdmba7of12
    Jan 28 at 19:27


















  • $begingroup$
    $dt=tdx = e^xdx$
    $endgroup$
    – phdmba7of12
    Jan 28 at 19:17










  • $begingroup$
    the pdf is defined such that $f(x)dx$ gives the probability that $x$ will be measured in between $x$ and $x+dx$
    $endgroup$
    – phdmba7of12
    Jan 28 at 19:19








  • 1




    $begingroup$
    @phdmba7of12 thanks for your help... hmm it seems $t=e^x$? How do you get to the conclusion that $x=g^{-1}(t) = lnt$? Thanks again!
    $endgroup$
    – HJ_beginner
    Jan 28 at 19:24










  • $begingroup$
    $e^{ln z}=z$ just exponentiate both sides of the $x = ln t$ equation
    $endgroup$
    – phdmba7of12
    Jan 28 at 19:25










  • $begingroup$
    one way might be to use delta function as kernel for the transform: $$F(x)=int_0^x f(x)dx$$ and $$F(ln t)=int_0^{ln t}f(ln t)dleft(ln t right)$$
    $endgroup$
    – phdmba7of12
    Jan 28 at 19:27
















$begingroup$
$dt=tdx = e^xdx$
$endgroup$
– phdmba7of12
Jan 28 at 19:17




$begingroup$
$dt=tdx = e^xdx$
$endgroup$
– phdmba7of12
Jan 28 at 19:17












$begingroup$
the pdf is defined such that $f(x)dx$ gives the probability that $x$ will be measured in between $x$ and $x+dx$
$endgroup$
– phdmba7of12
Jan 28 at 19:19






$begingroup$
the pdf is defined such that $f(x)dx$ gives the probability that $x$ will be measured in between $x$ and $x+dx$
$endgroup$
– phdmba7of12
Jan 28 at 19:19






1




1




$begingroup$
@phdmba7of12 thanks for your help... hmm it seems $t=e^x$? How do you get to the conclusion that $x=g^{-1}(t) = lnt$? Thanks again!
$endgroup$
– HJ_beginner
Jan 28 at 19:24




$begingroup$
@phdmba7of12 thanks for your help... hmm it seems $t=e^x$? How do you get to the conclusion that $x=g^{-1}(t) = lnt$? Thanks again!
$endgroup$
– HJ_beginner
Jan 28 at 19:24












$begingroup$
$e^{ln z}=z$ just exponentiate both sides of the $x = ln t$ equation
$endgroup$
– phdmba7of12
Jan 28 at 19:25




$begingroup$
$e^{ln z}=z$ just exponentiate both sides of the $x = ln t$ equation
$endgroup$
– phdmba7of12
Jan 28 at 19:25












$begingroup$
one way might be to use delta function as kernel for the transform: $$F(x)=int_0^x f(x)dx$$ and $$F(ln t)=int_0^{ln t}f(ln t)dleft(ln t right)$$
$endgroup$
– phdmba7of12
Jan 28 at 19:27




$begingroup$
one way might be to use delta function as kernel for the transform: $$F(x)=int_0^x f(x)dx$$ and $$F(ln t)=int_0^{ln t}f(ln t)dleft(ln t right)$$
$endgroup$
– phdmba7of12
Jan 28 at 19:27










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