Generalize Jensen's Integral Inequality to the product of two functions











up vote
0
down vote

favorite












Let $E$ be a measurable set with $m(E)>0$.



Let $f$, $gamma$ be two measurable, real-valued function which are finite a.e. on $E$ with $f, gamma$ and $fcdot gamma$ all integrable.



Assume $gammageq 0$ and $int_{E}gamma>0$. Then if $phi$ is a convex function on an open interval $(a,b)$ containing the range of $f$, then we have



$phiBig(dfrac{int_{E}fcdotgamma}{int_{E}gamma}Big)leqBig(dfrac{int_{E}phi(f)cdotgamma}{int_{E}gamma}Big)$



I am trying to modify the proof of the simpler version (the one with only $f$) of Jensen's inequality to this more general version, but I don't really know how to deal with the new function $gamma$.



Any hints or detailed explanations are really appreciated!!



${bf Edit 1:}$



I got some but still limited development.



To make things simpler, I assume $phi$ has $1^{st}$ derivative, and assume $int_{E}gamma=1$



As $phi$ is convex, for each $a$, we have $phi(y)>(y-a)phi'(a)+phi(a)$



so in particular, as $gammageq 0$, we have



$int phibig(f(x)big)cdotgamma(x)dxgeqintbig[(f(x)-a)phi'(a)+phi(a)big]gamma(x)dx=int big(f(x)-abig)gamma(x)dxtimes phi'(a)+phi(a)$



Now, let $a=int f(x)cdotgamma(x)dx$, we will have $int big(f(x)-abig)gamma(x)dx=0$ and we are done in this simple case.



In a general case, a convex function on the real line has only right derivative, and thus we have $phi(y)>(y-a)lim_{hrightarrow 0^{+}}dfrac{phi(a+h)-phi(a)}{h}+phi(a)$, so with the complicated notation, our proof is still okay.



However, how do I expand this case to the case where $int_{E}gamma$ is not 1?



$textbf{My Completed Proof:}$



Okay, I think I proved it.



To make things simpler, let $int_{E}gamma=bgeq 0$ and suppose $phi(x)$ has the first derivative.



As $phi$ is convex, for each $a$, we have $$phi(y)>(y-a)phi'(a)+phi(a)$$



So in particular, as $gammageq 0$, we have:



$dfrac{int_{E}phi(f(x))gamma(x)dx}{b}geqdfrac{int_{E} [(f(x)-a)phi'(a)+phi(a)]gamma(x)dx}{b}=dfrac{phi'(a)}{b}int_{E}f(x)gamma(x)dx-aphi'(a)+phi(a)$



Now, let $a=dfrac{int_{E}f(x)gamma(x)dx}{b}$, the first two summands of the above equation will be killed, and we get what we want.



So in general case, convex function has only right derivatives, so we have $$phi(y)>(y-a)lim_{hrightarrow 0^{+}}dfrac{phi(a+h)-phi(a)}{h}+phi(a)$$



By letting $F(a)=lim_{hrightarrow 0^{+}}dfrac{phi(a+h)-phi(a)}{h}$ our proof is still valid, since $F(a)$ will be killed in the end as what happened to $phi'(x)$, then we are done.



Is my proof okay here? Feel free to point out my mistake or better proof!



Thank you!










share|cite|improve this question
























  • Why don't you define $P(A) = dfrac{1}{int_E gamma} int_{A cap E} gamma$ so that $P$ is a probability measure and what you want to prove is just Jensen's inequality?
    – Will M.
    Nov 15 at 1:35










  • @WillM. I haven't learnt materials about probability measure, would you mind making it more specific?
    – JacobsonRadical
    Nov 15 at 1:40










  • I am confused, do you know or not know about Jensen's inequality?
    – Will M.
    Nov 15 at 1:40










  • @WillM. My professor only talks about Jensen's Inequality in the context of Lebesgue Integral, without talking about probability measure. So... I don't know whether I know or do not know Jensen's inequality...
    – JacobsonRadical
    Nov 15 at 1:43










  • Jensen's inequality only holds in probability spaces. en.wikipedia.org/wiki/Jensen%27s_inequality
    – Will M.
    Nov 15 at 3:06

















up vote
0
down vote

favorite












Let $E$ be a measurable set with $m(E)>0$.



Let $f$, $gamma$ be two measurable, real-valued function which are finite a.e. on $E$ with $f, gamma$ and $fcdot gamma$ all integrable.



Assume $gammageq 0$ and $int_{E}gamma>0$. Then if $phi$ is a convex function on an open interval $(a,b)$ containing the range of $f$, then we have



$phiBig(dfrac{int_{E}fcdotgamma}{int_{E}gamma}Big)leqBig(dfrac{int_{E}phi(f)cdotgamma}{int_{E}gamma}Big)$



I am trying to modify the proof of the simpler version (the one with only $f$) of Jensen's inequality to this more general version, but I don't really know how to deal with the new function $gamma$.



Any hints or detailed explanations are really appreciated!!



${bf Edit 1:}$



I got some but still limited development.



To make things simpler, I assume $phi$ has $1^{st}$ derivative, and assume $int_{E}gamma=1$



As $phi$ is convex, for each $a$, we have $phi(y)>(y-a)phi'(a)+phi(a)$



so in particular, as $gammageq 0$, we have



$int phibig(f(x)big)cdotgamma(x)dxgeqintbig[(f(x)-a)phi'(a)+phi(a)big]gamma(x)dx=int big(f(x)-abig)gamma(x)dxtimes phi'(a)+phi(a)$



Now, let $a=int f(x)cdotgamma(x)dx$, we will have $int big(f(x)-abig)gamma(x)dx=0$ and we are done in this simple case.



In a general case, a convex function on the real line has only right derivative, and thus we have $phi(y)>(y-a)lim_{hrightarrow 0^{+}}dfrac{phi(a+h)-phi(a)}{h}+phi(a)$, so with the complicated notation, our proof is still okay.



However, how do I expand this case to the case where $int_{E}gamma$ is not 1?



$textbf{My Completed Proof:}$



Okay, I think I proved it.



To make things simpler, let $int_{E}gamma=bgeq 0$ and suppose $phi(x)$ has the first derivative.



As $phi$ is convex, for each $a$, we have $$phi(y)>(y-a)phi'(a)+phi(a)$$



So in particular, as $gammageq 0$, we have:



$dfrac{int_{E}phi(f(x))gamma(x)dx}{b}geqdfrac{int_{E} [(f(x)-a)phi'(a)+phi(a)]gamma(x)dx}{b}=dfrac{phi'(a)}{b}int_{E}f(x)gamma(x)dx-aphi'(a)+phi(a)$



Now, let $a=dfrac{int_{E}f(x)gamma(x)dx}{b}$, the first two summands of the above equation will be killed, and we get what we want.



So in general case, convex function has only right derivatives, so we have $$phi(y)>(y-a)lim_{hrightarrow 0^{+}}dfrac{phi(a+h)-phi(a)}{h}+phi(a)$$



By letting $F(a)=lim_{hrightarrow 0^{+}}dfrac{phi(a+h)-phi(a)}{h}$ our proof is still valid, since $F(a)$ will be killed in the end as what happened to $phi'(x)$, then we are done.



Is my proof okay here? Feel free to point out my mistake or better proof!



Thank you!










share|cite|improve this question
























  • Why don't you define $P(A) = dfrac{1}{int_E gamma} int_{A cap E} gamma$ so that $P$ is a probability measure and what you want to prove is just Jensen's inequality?
    – Will M.
    Nov 15 at 1:35










  • @WillM. I haven't learnt materials about probability measure, would you mind making it more specific?
    – JacobsonRadical
    Nov 15 at 1:40










  • I am confused, do you know or not know about Jensen's inequality?
    – Will M.
    Nov 15 at 1:40










  • @WillM. My professor only talks about Jensen's Inequality in the context of Lebesgue Integral, without talking about probability measure. So... I don't know whether I know or do not know Jensen's inequality...
    – JacobsonRadical
    Nov 15 at 1:43










  • Jensen's inequality only holds in probability spaces. en.wikipedia.org/wiki/Jensen%27s_inequality
    – Will M.
    Nov 15 at 3:06















up vote
0
down vote

favorite









up vote
0
down vote

favorite











Let $E$ be a measurable set with $m(E)>0$.



Let $f$, $gamma$ be two measurable, real-valued function which are finite a.e. on $E$ with $f, gamma$ and $fcdot gamma$ all integrable.



Assume $gammageq 0$ and $int_{E}gamma>0$. Then if $phi$ is a convex function on an open interval $(a,b)$ containing the range of $f$, then we have



$phiBig(dfrac{int_{E}fcdotgamma}{int_{E}gamma}Big)leqBig(dfrac{int_{E}phi(f)cdotgamma}{int_{E}gamma}Big)$



I am trying to modify the proof of the simpler version (the one with only $f$) of Jensen's inequality to this more general version, but I don't really know how to deal with the new function $gamma$.



Any hints or detailed explanations are really appreciated!!



${bf Edit 1:}$



I got some but still limited development.



To make things simpler, I assume $phi$ has $1^{st}$ derivative, and assume $int_{E}gamma=1$



As $phi$ is convex, for each $a$, we have $phi(y)>(y-a)phi'(a)+phi(a)$



so in particular, as $gammageq 0$, we have



$int phibig(f(x)big)cdotgamma(x)dxgeqintbig[(f(x)-a)phi'(a)+phi(a)big]gamma(x)dx=int big(f(x)-abig)gamma(x)dxtimes phi'(a)+phi(a)$



Now, let $a=int f(x)cdotgamma(x)dx$, we will have $int big(f(x)-abig)gamma(x)dx=0$ and we are done in this simple case.



In a general case, a convex function on the real line has only right derivative, and thus we have $phi(y)>(y-a)lim_{hrightarrow 0^{+}}dfrac{phi(a+h)-phi(a)}{h}+phi(a)$, so with the complicated notation, our proof is still okay.



However, how do I expand this case to the case where $int_{E}gamma$ is not 1?



$textbf{My Completed Proof:}$



Okay, I think I proved it.



To make things simpler, let $int_{E}gamma=bgeq 0$ and suppose $phi(x)$ has the first derivative.



As $phi$ is convex, for each $a$, we have $$phi(y)>(y-a)phi'(a)+phi(a)$$



So in particular, as $gammageq 0$, we have:



$dfrac{int_{E}phi(f(x))gamma(x)dx}{b}geqdfrac{int_{E} [(f(x)-a)phi'(a)+phi(a)]gamma(x)dx}{b}=dfrac{phi'(a)}{b}int_{E}f(x)gamma(x)dx-aphi'(a)+phi(a)$



Now, let $a=dfrac{int_{E}f(x)gamma(x)dx}{b}$, the first two summands of the above equation will be killed, and we get what we want.



So in general case, convex function has only right derivatives, so we have $$phi(y)>(y-a)lim_{hrightarrow 0^{+}}dfrac{phi(a+h)-phi(a)}{h}+phi(a)$$



By letting $F(a)=lim_{hrightarrow 0^{+}}dfrac{phi(a+h)-phi(a)}{h}$ our proof is still valid, since $F(a)$ will be killed in the end as what happened to $phi'(x)$, then we are done.



Is my proof okay here? Feel free to point out my mistake or better proof!



Thank you!










share|cite|improve this question















Let $E$ be a measurable set with $m(E)>0$.



Let $f$, $gamma$ be two measurable, real-valued function which are finite a.e. on $E$ with $f, gamma$ and $fcdot gamma$ all integrable.



Assume $gammageq 0$ and $int_{E}gamma>0$. Then if $phi$ is a convex function on an open interval $(a,b)$ containing the range of $f$, then we have



$phiBig(dfrac{int_{E}fcdotgamma}{int_{E}gamma}Big)leqBig(dfrac{int_{E}phi(f)cdotgamma}{int_{E}gamma}Big)$



I am trying to modify the proof of the simpler version (the one with only $f$) of Jensen's inequality to this more general version, but I don't really know how to deal with the new function $gamma$.



Any hints or detailed explanations are really appreciated!!



${bf Edit 1:}$



I got some but still limited development.



To make things simpler, I assume $phi$ has $1^{st}$ derivative, and assume $int_{E}gamma=1$



As $phi$ is convex, for each $a$, we have $phi(y)>(y-a)phi'(a)+phi(a)$



so in particular, as $gammageq 0$, we have



$int phibig(f(x)big)cdotgamma(x)dxgeqintbig[(f(x)-a)phi'(a)+phi(a)big]gamma(x)dx=int big(f(x)-abig)gamma(x)dxtimes phi'(a)+phi(a)$



Now, let $a=int f(x)cdotgamma(x)dx$, we will have $int big(f(x)-abig)gamma(x)dx=0$ and we are done in this simple case.



In a general case, a convex function on the real line has only right derivative, and thus we have $phi(y)>(y-a)lim_{hrightarrow 0^{+}}dfrac{phi(a+h)-phi(a)}{h}+phi(a)$, so with the complicated notation, our proof is still okay.



However, how do I expand this case to the case where $int_{E}gamma$ is not 1?



$textbf{My Completed Proof:}$



Okay, I think I proved it.



To make things simpler, let $int_{E}gamma=bgeq 0$ and suppose $phi(x)$ has the first derivative.



As $phi$ is convex, for each $a$, we have $$phi(y)>(y-a)phi'(a)+phi(a)$$



So in particular, as $gammageq 0$, we have:



$dfrac{int_{E}phi(f(x))gamma(x)dx}{b}geqdfrac{int_{E} [(f(x)-a)phi'(a)+phi(a)]gamma(x)dx}{b}=dfrac{phi'(a)}{b}int_{E}f(x)gamma(x)dx-aphi'(a)+phi(a)$



Now, let $a=dfrac{int_{E}f(x)gamma(x)dx}{b}$, the first two summands of the above equation will be killed, and we get what we want.



So in general case, convex function has only right derivatives, so we have $$phi(y)>(y-a)lim_{hrightarrow 0^{+}}dfrac{phi(a+h)-phi(a)}{h}+phi(a)$$



By letting $F(a)=lim_{hrightarrow 0^{+}}dfrac{phi(a+h)-phi(a)}{h}$ our proof is still valid, since $F(a)$ will be killed in the end as what happened to $phi'(x)$, then we are done.



Is my proof okay here? Feel free to point out my mistake or better proof!



Thank you!







proof-verification convex-analysis lebesgue-integral jensen-inequality






share|cite|improve this question















share|cite|improve this question













share|cite|improve this question




share|cite|improve this question








edited Nov 15 at 2:14

























asked Nov 15 at 0:45









JacobsonRadical

393111




393111












  • Why don't you define $P(A) = dfrac{1}{int_E gamma} int_{A cap E} gamma$ so that $P$ is a probability measure and what you want to prove is just Jensen's inequality?
    – Will M.
    Nov 15 at 1:35










  • @WillM. I haven't learnt materials about probability measure, would you mind making it more specific?
    – JacobsonRadical
    Nov 15 at 1:40










  • I am confused, do you know or not know about Jensen's inequality?
    – Will M.
    Nov 15 at 1:40










  • @WillM. My professor only talks about Jensen's Inequality in the context of Lebesgue Integral, without talking about probability measure. So... I don't know whether I know or do not know Jensen's inequality...
    – JacobsonRadical
    Nov 15 at 1:43










  • Jensen's inequality only holds in probability spaces. en.wikipedia.org/wiki/Jensen%27s_inequality
    – Will M.
    Nov 15 at 3:06




















  • Why don't you define $P(A) = dfrac{1}{int_E gamma} int_{A cap E} gamma$ so that $P$ is a probability measure and what you want to prove is just Jensen's inequality?
    – Will M.
    Nov 15 at 1:35










  • @WillM. I haven't learnt materials about probability measure, would you mind making it more specific?
    – JacobsonRadical
    Nov 15 at 1:40










  • I am confused, do you know or not know about Jensen's inequality?
    – Will M.
    Nov 15 at 1:40










  • @WillM. My professor only talks about Jensen's Inequality in the context of Lebesgue Integral, without talking about probability measure. So... I don't know whether I know or do not know Jensen's inequality...
    – JacobsonRadical
    Nov 15 at 1:43










  • Jensen's inequality only holds in probability spaces. en.wikipedia.org/wiki/Jensen%27s_inequality
    – Will M.
    Nov 15 at 3:06


















Why don't you define $P(A) = dfrac{1}{int_E gamma} int_{A cap E} gamma$ so that $P$ is a probability measure and what you want to prove is just Jensen's inequality?
– Will M.
Nov 15 at 1:35




Why don't you define $P(A) = dfrac{1}{int_E gamma} int_{A cap E} gamma$ so that $P$ is a probability measure and what you want to prove is just Jensen's inequality?
– Will M.
Nov 15 at 1:35












@WillM. I haven't learnt materials about probability measure, would you mind making it more specific?
– JacobsonRadical
Nov 15 at 1:40




@WillM. I haven't learnt materials about probability measure, would you mind making it more specific?
– JacobsonRadical
Nov 15 at 1:40












I am confused, do you know or not know about Jensen's inequality?
– Will M.
Nov 15 at 1:40




I am confused, do you know or not know about Jensen's inequality?
– Will M.
Nov 15 at 1:40












@WillM. My professor only talks about Jensen's Inequality in the context of Lebesgue Integral, without talking about probability measure. So... I don't know whether I know or do not know Jensen's inequality...
– JacobsonRadical
Nov 15 at 1:43




@WillM. My professor only talks about Jensen's Inequality in the context of Lebesgue Integral, without talking about probability measure. So... I don't know whether I know or do not know Jensen's inequality...
– JacobsonRadical
Nov 15 at 1:43












Jensen's inequality only holds in probability spaces. en.wikipedia.org/wiki/Jensen%27s_inequality
– Will M.
Nov 15 at 3:06






Jensen's inequality only holds in probability spaces. en.wikipedia.org/wiki/Jensen%27s_inequality
– Will M.
Nov 15 at 3:06












1 Answer
1






active

oldest

votes

















up vote
0
down vote



accepted










Most of the answer is in my post, $textbf{ My Completed Proof}$ part. Only three minor points need to be added.



Firstly, in the third line of my proof, we need to comment that $a$ in is the domain of $phi$.



Secondly, in the sixth line, we need to note that $phi(f(x))$ makes sense since by hypothesis, the domain of $phi$ contains the range of $f(x)$.



Finally, $a=dfrac{int_{E}f(x)gamma(x)dx}{b}$ makes sense because $gammageq 0$, so we can enlarge or reduce $f$ to its max or min so that $a$ is in the range of $f(x)$.



With all those details added, the proof in my post is complete.






share|cite|improve this answer





















    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',
    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%2f2999028%2fgeneralize-jensens-integral-inequality-to-the-product-of-two-functions%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








    up vote
    0
    down vote



    accepted










    Most of the answer is in my post, $textbf{ My Completed Proof}$ part. Only three minor points need to be added.



    Firstly, in the third line of my proof, we need to comment that $a$ in is the domain of $phi$.



    Secondly, in the sixth line, we need to note that $phi(f(x))$ makes sense since by hypothesis, the domain of $phi$ contains the range of $f(x)$.



    Finally, $a=dfrac{int_{E}f(x)gamma(x)dx}{b}$ makes sense because $gammageq 0$, so we can enlarge or reduce $f$ to its max or min so that $a$ is in the range of $f(x)$.



    With all those details added, the proof in my post is complete.






    share|cite|improve this answer

























      up vote
      0
      down vote



      accepted










      Most of the answer is in my post, $textbf{ My Completed Proof}$ part. Only three minor points need to be added.



      Firstly, in the third line of my proof, we need to comment that $a$ in is the domain of $phi$.



      Secondly, in the sixth line, we need to note that $phi(f(x))$ makes sense since by hypothesis, the domain of $phi$ contains the range of $f(x)$.



      Finally, $a=dfrac{int_{E}f(x)gamma(x)dx}{b}$ makes sense because $gammageq 0$, so we can enlarge or reduce $f$ to its max or min so that $a$ is in the range of $f(x)$.



      With all those details added, the proof in my post is complete.






      share|cite|improve this answer























        up vote
        0
        down vote



        accepted







        up vote
        0
        down vote



        accepted






        Most of the answer is in my post, $textbf{ My Completed Proof}$ part. Only three minor points need to be added.



        Firstly, in the third line of my proof, we need to comment that $a$ in is the domain of $phi$.



        Secondly, in the sixth line, we need to note that $phi(f(x))$ makes sense since by hypothesis, the domain of $phi$ contains the range of $f(x)$.



        Finally, $a=dfrac{int_{E}f(x)gamma(x)dx}{b}$ makes sense because $gammageq 0$, so we can enlarge or reduce $f$ to its max or min so that $a$ is in the range of $f(x)$.



        With all those details added, the proof in my post is complete.






        share|cite|improve this answer












        Most of the answer is in my post, $textbf{ My Completed Proof}$ part. Only three minor points need to be added.



        Firstly, in the third line of my proof, we need to comment that $a$ in is the domain of $phi$.



        Secondly, in the sixth line, we need to note that $phi(f(x))$ makes sense since by hypothesis, the domain of $phi$ contains the range of $f(x)$.



        Finally, $a=dfrac{int_{E}f(x)gamma(x)dx}{b}$ makes sense because $gammageq 0$, so we can enlarge or reduce $f$ to its max or min so that $a$ is in the range of $f(x)$.



        With all those details added, the proof in my post is complete.







        share|cite|improve this answer












        share|cite|improve this answer



        share|cite|improve this answer










        answered Nov 16 at 5:33









        JacobsonRadical

        393111




        393111






























             

            draft saved


            draft discarded



















































             


            draft saved


            draft discarded














            StackExchange.ready(
            function () {
            StackExchange.openid.initPostLogin('.new-post-login', 'https%3a%2f%2fmath.stackexchange.com%2fquestions%2f2999028%2fgeneralize-jensens-integral-inequality-to-the-product-of-two-functions%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

            Plaza Victoria

            Brian Clough

            Cáceres