Proving lipschitz continuity based on bounded gradient












2












$begingroup$


I would like to prove that if $S$ is a non-empty convex subset, and $f:S xrightarrow{} R $ is a convex and differentiable function, that the following holds true:
$ |f(x)-f(y)| le L|x-y |_{2} Longleftrightarrow | nabla f(x) |_{2} le L $



I already have $rightarrow$, but I am unfinished with $leftarrow$. The following is what I currently have:
From convexity:
$f(x) - f(y) le nabla f(x)^T(x-y) $



According to Cauchy-Schwartz, the following also holds true:



$ |nabla f(x)^T(x-y)| le |nabla f(x)|_{2} |x-y|_{2}$



It is given that $| nabla f(x) |_{2} le L$, so the following is true:



$ |nabla f(x)^T(x-y)| le L |x-y|_{2} $



Hence, because $forall a: |a| ge a$, we have:



$ nabla f(x)^T(x-y) le |nabla f(x)^T(x-y)| le L |x-y|_{2}$



So far I have proven the following:
$ f(x)-f(y) le L|x-y |_{2} $



But I am missing the absolute value, I have made some attempts but they all involve making fallacies with inequality signs... Does anyone have an idea?










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  • $begingroup$
    The easiest way is always the fundamental theorem of calculus; $$f(x+h)-f(x)=int_0^1 frac{d}{dt}[f(x+th)], dt.$$
    $endgroup$
    – Giuseppe Negro
    Jan 22 at 11:50
















2












$begingroup$


I would like to prove that if $S$ is a non-empty convex subset, and $f:S xrightarrow{} R $ is a convex and differentiable function, that the following holds true:
$ |f(x)-f(y)| le L|x-y |_{2} Longleftrightarrow | nabla f(x) |_{2} le L $



I already have $rightarrow$, but I am unfinished with $leftarrow$. The following is what I currently have:
From convexity:
$f(x) - f(y) le nabla f(x)^T(x-y) $



According to Cauchy-Schwartz, the following also holds true:



$ |nabla f(x)^T(x-y)| le |nabla f(x)|_{2} |x-y|_{2}$



It is given that $| nabla f(x) |_{2} le L$, so the following is true:



$ |nabla f(x)^T(x-y)| le L |x-y|_{2} $



Hence, because $forall a: |a| ge a$, we have:



$ nabla f(x)^T(x-y) le |nabla f(x)^T(x-y)| le L |x-y|_{2}$



So far I have proven the following:
$ f(x)-f(y) le L|x-y |_{2} $



But I am missing the absolute value, I have made some attempts but they all involve making fallacies with inequality signs... Does anyone have an idea?










share|cite|improve this question









$endgroup$












  • $begingroup$
    The easiest way is always the fundamental theorem of calculus; $$f(x+h)-f(x)=int_0^1 frac{d}{dt}[f(x+th)], dt.$$
    $endgroup$
    – Giuseppe Negro
    Jan 22 at 11:50














2












2








2





$begingroup$


I would like to prove that if $S$ is a non-empty convex subset, and $f:S xrightarrow{} R $ is a convex and differentiable function, that the following holds true:
$ |f(x)-f(y)| le L|x-y |_{2} Longleftrightarrow | nabla f(x) |_{2} le L $



I already have $rightarrow$, but I am unfinished with $leftarrow$. The following is what I currently have:
From convexity:
$f(x) - f(y) le nabla f(x)^T(x-y) $



According to Cauchy-Schwartz, the following also holds true:



$ |nabla f(x)^T(x-y)| le |nabla f(x)|_{2} |x-y|_{2}$



It is given that $| nabla f(x) |_{2} le L$, so the following is true:



$ |nabla f(x)^T(x-y)| le L |x-y|_{2} $



Hence, because $forall a: |a| ge a$, we have:



$ nabla f(x)^T(x-y) le |nabla f(x)^T(x-y)| le L |x-y|_{2}$



So far I have proven the following:
$ f(x)-f(y) le L|x-y |_{2} $



But I am missing the absolute value, I have made some attempts but they all involve making fallacies with inequality signs... Does anyone have an idea?










share|cite|improve this question









$endgroup$




I would like to prove that if $S$ is a non-empty convex subset, and $f:S xrightarrow{} R $ is a convex and differentiable function, that the following holds true:
$ |f(x)-f(y)| le L|x-y |_{2} Longleftrightarrow | nabla f(x) |_{2} le L $



I already have $rightarrow$, but I am unfinished with $leftarrow$. The following is what I currently have:
From convexity:
$f(x) - f(y) le nabla f(x)^T(x-y) $



According to Cauchy-Schwartz, the following also holds true:



$ |nabla f(x)^T(x-y)| le |nabla f(x)|_{2} |x-y|_{2}$



It is given that $| nabla f(x) |_{2} le L$, so the following is true:



$ |nabla f(x)^T(x-y)| le L |x-y|_{2} $



Hence, because $forall a: |a| ge a$, we have:



$ nabla f(x)^T(x-y) le |nabla f(x)^T(x-y)| le L |x-y|_{2}$



So far I have proven the following:
$ f(x)-f(y) le L|x-y |_{2} $



But I am missing the absolute value, I have made some attempts but they all involve making fallacies with inequality signs... Does anyone have an idea?







analysis convex-analysis






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asked Jan 22 at 11:40









Gilles GGilles G

112




112












  • $begingroup$
    The easiest way is always the fundamental theorem of calculus; $$f(x+h)-f(x)=int_0^1 frac{d}{dt}[f(x+th)], dt.$$
    $endgroup$
    – Giuseppe Negro
    Jan 22 at 11:50


















  • $begingroup$
    The easiest way is always the fundamental theorem of calculus; $$f(x+h)-f(x)=int_0^1 frac{d}{dt}[f(x+th)], dt.$$
    $endgroup$
    – Giuseppe Negro
    Jan 22 at 11:50
















$begingroup$
The easiest way is always the fundamental theorem of calculus; $$f(x+h)-f(x)=int_0^1 frac{d}{dt}[f(x+th)], dt.$$
$endgroup$
– Giuseppe Negro
Jan 22 at 11:50




$begingroup$
The easiest way is always the fundamental theorem of calculus; $$f(x+h)-f(x)=int_0^1 frac{d}{dt}[f(x+th)], dt.$$
$endgroup$
– Giuseppe Negro
Jan 22 at 11:50










2 Answers
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Hint



Convexity of $f$ is not necessary here. Since $S$ is convex, by mean value theorem, there is $c_{x,y}in (x,y)={x+t(y-x)mid tin (0,1)}$ s.t. $$f(x)-f(y)=nabla f(c_{x,y})cdot (y-x).$$






share|cite|improve this answer









$endgroup$





















    0












    $begingroup$

    I can't really tell if these answers other people gave me are very useful or not.



    However, I think i found the right answer: you have to work symetrically as above with $f(y) - f(x) le nabla f(y)^T(y-x)$.



    You will then end up at $f(x)-f(y) ge -L|x-y |_{2}$, then you will have proven the theorem...






    share|cite|improve this answer









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      2 Answers
      2






      active

      oldest

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      2 Answers
      2






      active

      oldest

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      active

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      active

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      0












      $begingroup$

      Hint



      Convexity of $f$ is not necessary here. Since $S$ is convex, by mean value theorem, there is $c_{x,y}in (x,y)={x+t(y-x)mid tin (0,1)}$ s.t. $$f(x)-f(y)=nabla f(c_{x,y})cdot (y-x).$$






      share|cite|improve this answer









      $endgroup$


















        0












        $begingroup$

        Hint



        Convexity of $f$ is not necessary here. Since $S$ is convex, by mean value theorem, there is $c_{x,y}in (x,y)={x+t(y-x)mid tin (0,1)}$ s.t. $$f(x)-f(y)=nabla f(c_{x,y})cdot (y-x).$$






        share|cite|improve this answer









        $endgroup$
















          0












          0








          0





          $begingroup$

          Hint



          Convexity of $f$ is not necessary here. Since $S$ is convex, by mean value theorem, there is $c_{x,y}in (x,y)={x+t(y-x)mid tin (0,1)}$ s.t. $$f(x)-f(y)=nabla f(c_{x,y})cdot (y-x).$$






          share|cite|improve this answer









          $endgroup$



          Hint



          Convexity of $f$ is not necessary here. Since $S$ is convex, by mean value theorem, there is $c_{x,y}in (x,y)={x+t(y-x)mid tin (0,1)}$ s.t. $$f(x)-f(y)=nabla f(c_{x,y})cdot (y-x).$$







          share|cite|improve this answer












          share|cite|improve this answer



          share|cite|improve this answer










          answered Jan 22 at 11:46









          DylanDylan

          3118




          3118























              0












              $begingroup$

              I can't really tell if these answers other people gave me are very useful or not.



              However, I think i found the right answer: you have to work symetrically as above with $f(y) - f(x) le nabla f(y)^T(y-x)$.



              You will then end up at $f(x)-f(y) ge -L|x-y |_{2}$, then you will have proven the theorem...






              share|cite|improve this answer









              $endgroup$


















                0












                $begingroup$

                I can't really tell if these answers other people gave me are very useful or not.



                However, I think i found the right answer: you have to work symetrically as above with $f(y) - f(x) le nabla f(y)^T(y-x)$.



                You will then end up at $f(x)-f(y) ge -L|x-y |_{2}$, then you will have proven the theorem...






                share|cite|improve this answer









                $endgroup$
















                  0












                  0








                  0





                  $begingroup$

                  I can't really tell if these answers other people gave me are very useful or not.



                  However, I think i found the right answer: you have to work symetrically as above with $f(y) - f(x) le nabla f(y)^T(y-x)$.



                  You will then end up at $f(x)-f(y) ge -L|x-y |_{2}$, then you will have proven the theorem...






                  share|cite|improve this answer









                  $endgroup$



                  I can't really tell if these answers other people gave me are very useful or not.



                  However, I think i found the right answer: you have to work symetrically as above with $f(y) - f(x) le nabla f(y)^T(y-x)$.



                  You will then end up at $f(x)-f(y) ge -L|x-y |_{2}$, then you will have proven the theorem...







                  share|cite|improve this answer












                  share|cite|improve this answer



                  share|cite|improve this answer










                  answered Jan 22 at 17:10









                  Gilles GGilles G

                  112




                  112






























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