Prove $P({Xge t}cup{Yge t})le t^{-2}(1+sqrt{1-r^2})$ where $r$ is the correlation of $X$ and $Y$ centered...
$begingroup$
Let $xi$ and $eta$ be random variables with variances $mathbb{D}xi$ and $mathbb{D}eta$, and correlation coefficient $rho$. Show that $$mathbb{P}({xi - mathbb{E}xi geq varepsilon sqrt{mathbb{D}xi} } cup { eta - mathbb{E}eta geq varepsilon sqrt{mathbb{D}eta}) leq frac{1}{varepsilon^2}(1+sqrt{1-rho^2}).$$
So, if I am right, I see a connection with $$mathbb{E}max{xi^2,eta^2}leq 1 + sqrt{1-rho^2}.$$ But actually don't know how to use it here.
probability-theory random-variables correlation
$endgroup$
add a comment |
$begingroup$
Let $xi$ and $eta$ be random variables with variances $mathbb{D}xi$ and $mathbb{D}eta$, and correlation coefficient $rho$. Show that $$mathbb{P}({xi - mathbb{E}xi geq varepsilon sqrt{mathbb{D}xi} } cup { eta - mathbb{E}eta geq varepsilon sqrt{mathbb{D}eta}) leq frac{1}{varepsilon^2}(1+sqrt{1-rho^2}).$$
So, if I am right, I see a connection with $$mathbb{E}max{xi^2,eta^2}leq 1 + sqrt{1-rho^2}.$$ But actually don't know how to use it here.
probability-theory random-variables correlation
$endgroup$
add a comment |
$begingroup$
Let $xi$ and $eta$ be random variables with variances $mathbb{D}xi$ and $mathbb{D}eta$, and correlation coefficient $rho$. Show that $$mathbb{P}({xi - mathbb{E}xi geq varepsilon sqrt{mathbb{D}xi} } cup { eta - mathbb{E}eta geq varepsilon sqrt{mathbb{D}eta}) leq frac{1}{varepsilon^2}(1+sqrt{1-rho^2}).$$
So, if I am right, I see a connection with $$mathbb{E}max{xi^2,eta^2}leq 1 + sqrt{1-rho^2}.$$ But actually don't know how to use it here.
probability-theory random-variables correlation
$endgroup$
Let $xi$ and $eta$ be random variables with variances $mathbb{D}xi$ and $mathbb{D}eta$, and correlation coefficient $rho$. Show that $$mathbb{P}({xi - mathbb{E}xi geq varepsilon sqrt{mathbb{D}xi} } cup { eta - mathbb{E}eta geq varepsilon sqrt{mathbb{D}eta}) leq frac{1}{varepsilon^2}(1+sqrt{1-rho^2}).$$
So, if I am right, I see a connection with $$mathbb{E}max{xi^2,eta^2}leq 1 + sqrt{1-rho^2}.$$ But actually don't know how to use it here.
probability-theory random-variables correlation
probability-theory random-variables correlation
edited Dec 18 '18 at 20:14
Did
249k23226466
249k23226466
asked Dec 18 '18 at 19:36
AtstovasAtstovas
1139
1139
add a comment |
add a comment |
1 Answer
1
active
oldest
votes
$begingroup$
WLOG after renormalizing, both variables have mean zero and dispersions equal to one, so we can write this as
$$
defe{varepsilon}
P(xige ecup etage e)=P(max(xi,eta)gee)le P(max(xi^2,eta^2)ge e^2).
$$
Now, use Markov's inequality to relate this to $E[max(xi^2,eta^2)]$.
$endgroup$
$begingroup$
Thank you. How to prove right inequality's side I know, but do I need to find $E(max{ (xi,eta) }$? If yes, then I have problems with it... I did everything the same, but don't know how much is $mathbb{E}(sqrt{xi}sqrt{eta})$. Is it equal to $sqrt{rho}$?
$endgroup$
– Atstovas
Dec 18 '18 at 20:51
$begingroup$
No, you only need to deal with $E[max(xi^2,eta^2)]$.
$endgroup$
– Mike Earnest
Dec 18 '18 at 20:52
$begingroup$
Oh, ok. Then I done with it. Thank you for your help
$endgroup$
– Atstovas
Dec 18 '18 at 20:54
add a comment |
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
});
}
});
Sign up or log in
StackExchange.ready(function () {
StackExchange.helpers.onClickDraftSave('#login-link');
});
Sign up using Google
Sign up using Facebook
Sign up using Email and Password
Post as a guest
Required, but never shown
StackExchange.ready(
function () {
StackExchange.openid.initPostLogin('.new-post-login', 'https%3a%2f%2fmath.stackexchange.com%2fquestions%2f3045596%2fprove-p-x-ge-t-cup-y-ge-t-le-t-21-sqrt1-r2-where-r-is-the-c%23new-answer', 'question_page');
}
);
Post as a guest
Required, but never shown
1 Answer
1
active
oldest
votes
1 Answer
1
active
oldest
votes
active
oldest
votes
active
oldest
votes
$begingroup$
WLOG after renormalizing, both variables have mean zero and dispersions equal to one, so we can write this as
$$
defe{varepsilon}
P(xige ecup etage e)=P(max(xi,eta)gee)le P(max(xi^2,eta^2)ge e^2).
$$
Now, use Markov's inequality to relate this to $E[max(xi^2,eta^2)]$.
$endgroup$
$begingroup$
Thank you. How to prove right inequality's side I know, but do I need to find $E(max{ (xi,eta) }$? If yes, then I have problems with it... I did everything the same, but don't know how much is $mathbb{E}(sqrt{xi}sqrt{eta})$. Is it equal to $sqrt{rho}$?
$endgroup$
– Atstovas
Dec 18 '18 at 20:51
$begingroup$
No, you only need to deal with $E[max(xi^2,eta^2)]$.
$endgroup$
– Mike Earnest
Dec 18 '18 at 20:52
$begingroup$
Oh, ok. Then I done with it. Thank you for your help
$endgroup$
– Atstovas
Dec 18 '18 at 20:54
add a comment |
$begingroup$
WLOG after renormalizing, both variables have mean zero and dispersions equal to one, so we can write this as
$$
defe{varepsilon}
P(xige ecup etage e)=P(max(xi,eta)gee)le P(max(xi^2,eta^2)ge e^2).
$$
Now, use Markov's inequality to relate this to $E[max(xi^2,eta^2)]$.
$endgroup$
$begingroup$
Thank you. How to prove right inequality's side I know, but do I need to find $E(max{ (xi,eta) }$? If yes, then I have problems with it... I did everything the same, but don't know how much is $mathbb{E}(sqrt{xi}sqrt{eta})$. Is it equal to $sqrt{rho}$?
$endgroup$
– Atstovas
Dec 18 '18 at 20:51
$begingroup$
No, you only need to deal with $E[max(xi^2,eta^2)]$.
$endgroup$
– Mike Earnest
Dec 18 '18 at 20:52
$begingroup$
Oh, ok. Then I done with it. Thank you for your help
$endgroup$
– Atstovas
Dec 18 '18 at 20:54
add a comment |
$begingroup$
WLOG after renormalizing, both variables have mean zero and dispersions equal to one, so we can write this as
$$
defe{varepsilon}
P(xige ecup etage e)=P(max(xi,eta)gee)le P(max(xi^2,eta^2)ge e^2).
$$
Now, use Markov's inequality to relate this to $E[max(xi^2,eta^2)]$.
$endgroup$
WLOG after renormalizing, both variables have mean zero and dispersions equal to one, so we can write this as
$$
defe{varepsilon}
P(xige ecup etage e)=P(max(xi,eta)gee)le P(max(xi^2,eta^2)ge e^2).
$$
Now, use Markov's inequality to relate this to $E[max(xi^2,eta^2)]$.
answered Dec 18 '18 at 20:20
Mike EarnestMike Earnest
26.1k22151
26.1k22151
$begingroup$
Thank you. How to prove right inequality's side I know, but do I need to find $E(max{ (xi,eta) }$? If yes, then I have problems with it... I did everything the same, but don't know how much is $mathbb{E}(sqrt{xi}sqrt{eta})$. Is it equal to $sqrt{rho}$?
$endgroup$
– Atstovas
Dec 18 '18 at 20:51
$begingroup$
No, you only need to deal with $E[max(xi^2,eta^2)]$.
$endgroup$
– Mike Earnest
Dec 18 '18 at 20:52
$begingroup$
Oh, ok. Then I done with it. Thank you for your help
$endgroup$
– Atstovas
Dec 18 '18 at 20:54
add a comment |
$begingroup$
Thank you. How to prove right inequality's side I know, but do I need to find $E(max{ (xi,eta) }$? If yes, then I have problems with it... I did everything the same, but don't know how much is $mathbb{E}(sqrt{xi}sqrt{eta})$. Is it equal to $sqrt{rho}$?
$endgroup$
– Atstovas
Dec 18 '18 at 20:51
$begingroup$
No, you only need to deal with $E[max(xi^2,eta^2)]$.
$endgroup$
– Mike Earnest
Dec 18 '18 at 20:52
$begingroup$
Oh, ok. Then I done with it. Thank you for your help
$endgroup$
– Atstovas
Dec 18 '18 at 20:54
$begingroup$
Thank you. How to prove right inequality's side I know, but do I need to find $E(max{ (xi,eta) }$? If yes, then I have problems with it... I did everything the same, but don't know how much is $mathbb{E}(sqrt{xi}sqrt{eta})$. Is it equal to $sqrt{rho}$?
$endgroup$
– Atstovas
Dec 18 '18 at 20:51
$begingroup$
Thank you. How to prove right inequality's side I know, but do I need to find $E(max{ (xi,eta) }$? If yes, then I have problems with it... I did everything the same, but don't know how much is $mathbb{E}(sqrt{xi}sqrt{eta})$. Is it equal to $sqrt{rho}$?
$endgroup$
– Atstovas
Dec 18 '18 at 20:51
$begingroup$
No, you only need to deal with $E[max(xi^2,eta^2)]$.
$endgroup$
– Mike Earnest
Dec 18 '18 at 20:52
$begingroup$
No, you only need to deal with $E[max(xi^2,eta^2)]$.
$endgroup$
– Mike Earnest
Dec 18 '18 at 20:52
$begingroup$
Oh, ok. Then I done with it. Thank you for your help
$endgroup$
– Atstovas
Dec 18 '18 at 20:54
$begingroup$
Oh, ok. Then I done with it. Thank you for your help
$endgroup$
– Atstovas
Dec 18 '18 at 20:54
add a comment |
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.
Sign up or log in
StackExchange.ready(function () {
StackExchange.helpers.onClickDraftSave('#login-link');
});
Sign up using Google
Sign up using Facebook
Sign up using Email and Password
Post as a guest
Required, but never shown
StackExchange.ready(
function () {
StackExchange.openid.initPostLogin('.new-post-login', 'https%3a%2f%2fmath.stackexchange.com%2fquestions%2f3045596%2fprove-p-x-ge-t-cup-y-ge-t-le-t-21-sqrt1-r2-where-r-is-the-c%23new-answer', 'question_page');
}
);
Post as a guest
Required, but never shown
Sign up or log in
StackExchange.ready(function () {
StackExchange.helpers.onClickDraftSave('#login-link');
});
Sign up using Google
Sign up using Facebook
Sign up using Email and Password
Post as a guest
Required, but never shown
Sign up or log in
StackExchange.ready(function () {
StackExchange.helpers.onClickDraftSave('#login-link');
});
Sign up using Google
Sign up using Facebook
Sign up using Email and Password
Post as a guest
Required, but never shown
Sign up or log in
StackExchange.ready(function () {
StackExchange.helpers.onClickDraftSave('#login-link');
});
Sign up using Google
Sign up using Facebook
Sign up using Email and Password
Sign up using Google
Sign up using Facebook
Sign up using Email and Password
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