Simple justification that function sends a nonzero probability density to a nonzero probability density












0












$begingroup$


There is a certain nice (like analytic) function $g$ such that for random variables $X$ and $Y$, we have $Y=g(X)$. We know that the pdf $p_X(0)neq 0$. I'd like to justify that $p_Y(g(0))neq 0$ with a simple argument. I know that $$p_Y(y)=sum_{f(x_k)=y}frac{p_X(x)}{|dy/dx|}Big|_{x=x_k}$$ holds, but I'd like to avoid using this formula to make our argument as prerequisite-less as possible. If necessary, you can assume $X$ is the uniform distribution on a certain segment on $mathbb{R}$.










share|cite|improve this question









$endgroup$












  • $begingroup$
    If you knew $X$ was uniform on $[0,1]$ and $g(x)=x$, how would you know what the density of $Y$ would be at $0$?
    $endgroup$
    – Henry
    Jan 10 at 21:12










  • $begingroup$
    Or if $g(x)=k$ for some constant $k$, does $Y$ have a density at $k$?
    $endgroup$
    – Henry
    Jan 10 at 21:12












  • $begingroup$
    I'm sorry, but I don't think I can come up with a simple argument with your inputs.
    $endgroup$
    – J. Doe
    Jan 10 at 23:23










  • $begingroup$
    Density functions are not unique. They are defined only upto sets of measure zero. So the question has no meaning.
    $endgroup$
    – Kavi Rama Murthy
    Jan 10 at 23:56










  • $begingroup$
    @KaviRamaMurthy You're right. I think my actual problem was reformulated to a well-posed one, which I resolved. Thank you, anyway.
    $endgroup$
    – J. Doe
    Jan 11 at 1:23
















0












$begingroup$


There is a certain nice (like analytic) function $g$ such that for random variables $X$ and $Y$, we have $Y=g(X)$. We know that the pdf $p_X(0)neq 0$. I'd like to justify that $p_Y(g(0))neq 0$ with a simple argument. I know that $$p_Y(y)=sum_{f(x_k)=y}frac{p_X(x)}{|dy/dx|}Big|_{x=x_k}$$ holds, but I'd like to avoid using this formula to make our argument as prerequisite-less as possible. If necessary, you can assume $X$ is the uniform distribution on a certain segment on $mathbb{R}$.










share|cite|improve this question









$endgroup$












  • $begingroup$
    If you knew $X$ was uniform on $[0,1]$ and $g(x)=x$, how would you know what the density of $Y$ would be at $0$?
    $endgroup$
    – Henry
    Jan 10 at 21:12










  • $begingroup$
    Or if $g(x)=k$ for some constant $k$, does $Y$ have a density at $k$?
    $endgroup$
    – Henry
    Jan 10 at 21:12












  • $begingroup$
    I'm sorry, but I don't think I can come up with a simple argument with your inputs.
    $endgroup$
    – J. Doe
    Jan 10 at 23:23










  • $begingroup$
    Density functions are not unique. They are defined only upto sets of measure zero. So the question has no meaning.
    $endgroup$
    – Kavi Rama Murthy
    Jan 10 at 23:56










  • $begingroup$
    @KaviRamaMurthy You're right. I think my actual problem was reformulated to a well-posed one, which I resolved. Thank you, anyway.
    $endgroup$
    – J. Doe
    Jan 11 at 1:23














0












0








0





$begingroup$


There is a certain nice (like analytic) function $g$ such that for random variables $X$ and $Y$, we have $Y=g(X)$. We know that the pdf $p_X(0)neq 0$. I'd like to justify that $p_Y(g(0))neq 0$ with a simple argument. I know that $$p_Y(y)=sum_{f(x_k)=y}frac{p_X(x)}{|dy/dx|}Big|_{x=x_k}$$ holds, but I'd like to avoid using this formula to make our argument as prerequisite-less as possible. If necessary, you can assume $X$ is the uniform distribution on a certain segment on $mathbb{R}$.










share|cite|improve this question









$endgroup$




There is a certain nice (like analytic) function $g$ such that for random variables $X$ and $Y$, we have $Y=g(X)$. We know that the pdf $p_X(0)neq 0$. I'd like to justify that $p_Y(g(0))neq 0$ with a simple argument. I know that $$p_Y(y)=sum_{f(x_k)=y}frac{p_X(x)}{|dy/dx|}Big|_{x=x_k}$$ holds, but I'd like to avoid using this formula to make our argument as prerequisite-less as possible. If necessary, you can assume $X$ is the uniform distribution on a certain segment on $mathbb{R}$.







probability






share|cite|improve this question













share|cite|improve this question











share|cite|improve this question




share|cite|improve this question










asked Jan 10 at 20:52









J. DoeJ. Doe

213




213












  • $begingroup$
    If you knew $X$ was uniform on $[0,1]$ and $g(x)=x$, how would you know what the density of $Y$ would be at $0$?
    $endgroup$
    – Henry
    Jan 10 at 21:12










  • $begingroup$
    Or if $g(x)=k$ for some constant $k$, does $Y$ have a density at $k$?
    $endgroup$
    – Henry
    Jan 10 at 21:12












  • $begingroup$
    I'm sorry, but I don't think I can come up with a simple argument with your inputs.
    $endgroup$
    – J. Doe
    Jan 10 at 23:23










  • $begingroup$
    Density functions are not unique. They are defined only upto sets of measure zero. So the question has no meaning.
    $endgroup$
    – Kavi Rama Murthy
    Jan 10 at 23:56










  • $begingroup$
    @KaviRamaMurthy You're right. I think my actual problem was reformulated to a well-posed one, which I resolved. Thank you, anyway.
    $endgroup$
    – J. Doe
    Jan 11 at 1:23


















  • $begingroup$
    If you knew $X$ was uniform on $[0,1]$ and $g(x)=x$, how would you know what the density of $Y$ would be at $0$?
    $endgroup$
    – Henry
    Jan 10 at 21:12










  • $begingroup$
    Or if $g(x)=k$ for some constant $k$, does $Y$ have a density at $k$?
    $endgroup$
    – Henry
    Jan 10 at 21:12












  • $begingroup$
    I'm sorry, but I don't think I can come up with a simple argument with your inputs.
    $endgroup$
    – J. Doe
    Jan 10 at 23:23










  • $begingroup$
    Density functions are not unique. They are defined only upto sets of measure zero. So the question has no meaning.
    $endgroup$
    – Kavi Rama Murthy
    Jan 10 at 23:56










  • $begingroup$
    @KaviRamaMurthy You're right. I think my actual problem was reformulated to a well-posed one, which I resolved. Thank you, anyway.
    $endgroup$
    – J. Doe
    Jan 11 at 1:23
















$begingroup$
If you knew $X$ was uniform on $[0,1]$ and $g(x)=x$, how would you know what the density of $Y$ would be at $0$?
$endgroup$
– Henry
Jan 10 at 21:12




$begingroup$
If you knew $X$ was uniform on $[0,1]$ and $g(x)=x$, how would you know what the density of $Y$ would be at $0$?
$endgroup$
– Henry
Jan 10 at 21:12












$begingroup$
Or if $g(x)=k$ for some constant $k$, does $Y$ have a density at $k$?
$endgroup$
– Henry
Jan 10 at 21:12






$begingroup$
Or if $g(x)=k$ for some constant $k$, does $Y$ have a density at $k$?
$endgroup$
– Henry
Jan 10 at 21:12














$begingroup$
I'm sorry, but I don't think I can come up with a simple argument with your inputs.
$endgroup$
– J. Doe
Jan 10 at 23:23




$begingroup$
I'm sorry, but I don't think I can come up with a simple argument with your inputs.
$endgroup$
– J. Doe
Jan 10 at 23:23












$begingroup$
Density functions are not unique. They are defined only upto sets of measure zero. So the question has no meaning.
$endgroup$
– Kavi Rama Murthy
Jan 10 at 23:56




$begingroup$
Density functions are not unique. They are defined only upto sets of measure zero. So the question has no meaning.
$endgroup$
– Kavi Rama Murthy
Jan 10 at 23:56












$begingroup$
@KaviRamaMurthy You're right. I think my actual problem was reformulated to a well-posed one, which I resolved. Thank you, anyway.
$endgroup$
– J. Doe
Jan 11 at 1:23




$begingroup$
@KaviRamaMurthy You're right. I think my actual problem was reformulated to a well-posed one, which I resolved. Thank you, anyway.
$endgroup$
– J. Doe
Jan 11 at 1:23










0






active

oldest

votes












Your Answer





StackExchange.ifUsing("editor", function () {
return StackExchange.using("mathjaxEditing", function () {
StackExchange.MarkdownEditor.creationCallbacks.add(function (editor, postfix) {
StackExchange.mathjaxEditing.prepareWmdForMathJax(editor, postfix, [["$", "$"], ["\\(","\\)"]]);
});
});
}, "mathjax-editing");

StackExchange.ready(function() {
var channelOptions = {
tags: "".split(" "),
id: "69"
};
initTagRenderer("".split(" "), "".split(" "), channelOptions);

StackExchange.using("externalEditor", function() {
// Have to fire editor after snippets, if snippets enabled
if (StackExchange.settings.snippets.snippetsEnabled) {
StackExchange.using("snippets", function() {
createEditor();
});
}
else {
createEditor();
}
});

function createEditor() {
StackExchange.prepareEditor({
heartbeatType: 'answer',
autoActivateHeartbeat: false,
convertImagesToLinks: true,
noModals: true,
showLowRepImageUploadWarning: true,
reputationToPostImages: 10,
bindNavPrevention: true,
postfix: "",
imageUploader: {
brandingHtml: "Powered by u003ca class="icon-imgur-white" href="https://imgur.com/"u003eu003c/au003e",
contentPolicyHtml: "User contributions licensed under u003ca href="https://creativecommons.org/licenses/by-sa/3.0/"u003ecc by-sa 3.0 with attribution requiredu003c/au003e u003ca href="https://stackoverflow.com/legal/content-policy"u003e(content policy)u003c/au003e",
allowUrls: true
},
noCode: true, onDemand: true,
discardSelector: ".discard-answer"
,immediatelyShowMarkdownHelp:true
});


}
});














draft saved

draft discarded


















StackExchange.ready(
function () {
StackExchange.openid.initPostLogin('.new-post-login', 'https%3a%2f%2fmath.stackexchange.com%2fquestions%2f3069155%2fsimple-justification-that-function-sends-a-nonzero-probability-density-to-a-nonz%23new-answer', 'question_page');
}
);

Post as a guest















Required, but never shown

























0






active

oldest

votes








0






active

oldest

votes









active

oldest

votes






active

oldest

votes
















draft saved

draft discarded




















































Thanks for contributing an answer to Mathematics Stack Exchange!


  • Please be sure to answer the question. Provide details and share your research!

But avoid



  • Asking for help, clarification, or responding to other answers.

  • Making statements based on opinion; back them up with references or personal experience.


Use MathJax to format equations. MathJax reference.


To learn more, see our tips on writing great answers.




draft saved


draft discarded














StackExchange.ready(
function () {
StackExchange.openid.initPostLogin('.new-post-login', 'https%3a%2f%2fmath.stackexchange.com%2fquestions%2f3069155%2fsimple-justification-that-function-sends-a-nonzero-probability-density-to-a-nonz%23new-answer', 'question_page');
}
);

Post as a guest















Required, but never shown





















































Required, but never shown














Required, but never shown












Required, but never shown







Required, but never shown

































Required, but never shown














Required, but never shown












Required, but never shown







Required, but never shown







Popular posts from this blog

Bressuire

Cabo Verde

Gyllenstierna