How to show negative entropy function $f(x)=sum_{i=1}^nx_ilog(x_i)$ is strongly convex?












1












$begingroup$


Let $x in mathbb{R}^n$ belongs to $S$ where
$$
S= {x in mathbb{R}^n mid x succ 0, |x|_{infty} leq M}
$$

where $succ$ is the generalized inequality which means all elements of $x$ are positive and $log$ is natural logarithm. Use the following theorem to show that $f(x)=sum_{i=1}^nx_ilog(x_i)$ is $frac{1}{M}$-strongly convex over $S$.



Theorem: f is $alpha$-strongly convex if and only if $nabla^2f(x) succeq alpha I$ for all $x$.



Definition:$f$ is $alpha$-strongly convex if there exist a constant $alpha$ such that
$$ f(y) geq f(x)+left<f '(x),y-xright>+frac{alpha}{2}|y-x|^2$$
or
$$ left<f'(y)-f '(x),y-xright> geq alpha|y-x|^2$$



for all $x,y$.










share|cite|improve this question











$endgroup$

















    1












    $begingroup$


    Let $x in mathbb{R}^n$ belongs to $S$ where
    $$
    S= {x in mathbb{R}^n mid x succ 0, |x|_{infty} leq M}
    $$

    where $succ$ is the generalized inequality which means all elements of $x$ are positive and $log$ is natural logarithm. Use the following theorem to show that $f(x)=sum_{i=1}^nx_ilog(x_i)$ is $frac{1}{M}$-strongly convex over $S$.



    Theorem: f is $alpha$-strongly convex if and only if $nabla^2f(x) succeq alpha I$ for all $x$.



    Definition:$f$ is $alpha$-strongly convex if there exist a constant $alpha$ such that
    $$ f(y) geq f(x)+left<f '(x),y-xright>+frac{alpha}{2}|y-x|^2$$
    or
    $$ left<f'(y)-f '(x),y-xright> geq alpha|y-x|^2$$



    for all $x,y$.










    share|cite|improve this question











    $endgroup$















      1












      1








      1


      1



      $begingroup$


      Let $x in mathbb{R}^n$ belongs to $S$ where
      $$
      S= {x in mathbb{R}^n mid x succ 0, |x|_{infty} leq M}
      $$

      where $succ$ is the generalized inequality which means all elements of $x$ are positive and $log$ is natural logarithm. Use the following theorem to show that $f(x)=sum_{i=1}^nx_ilog(x_i)$ is $frac{1}{M}$-strongly convex over $S$.



      Theorem: f is $alpha$-strongly convex if and only if $nabla^2f(x) succeq alpha I$ for all $x$.



      Definition:$f$ is $alpha$-strongly convex if there exist a constant $alpha$ such that
      $$ f(y) geq f(x)+left<f '(x),y-xright>+frac{alpha}{2}|y-x|^2$$
      or
      $$ left<f'(y)-f '(x),y-xright> geq alpha|y-x|^2$$



      for all $x,y$.










      share|cite|improve this question











      $endgroup$




      Let $x in mathbb{R}^n$ belongs to $S$ where
      $$
      S= {x in mathbb{R}^n mid x succ 0, |x|_{infty} leq M}
      $$

      where $succ$ is the generalized inequality which means all elements of $x$ are positive and $log$ is natural logarithm. Use the following theorem to show that $f(x)=sum_{i=1}^nx_ilog(x_i)$ is $frac{1}{M}$-strongly convex over $S$.



      Theorem: f is $alpha$-strongly convex if and only if $nabla^2f(x) succeq alpha I$ for all $x$.



      Definition:$f$ is $alpha$-strongly convex if there exist a constant $alpha$ such that
      $$ f(y) geq f(x)+left<f '(x),y-xright>+frac{alpha}{2}|y-x|^2$$
      or
      $$ left<f'(y)-f '(x),y-xright> geq alpha|y-x|^2$$



      for all $x,y$.







      linear-algebra convex-analysis hessian-matrix






      share|cite|improve this question















      share|cite|improve this question













      share|cite|improve this question




      share|cite|improve this question








      edited Jan 17 at 19:57







      Saeed

















      asked Dec 28 '18 at 18:57









      SaeedSaeed

      1,036310




      1,036310






















          1 Answer
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          active

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          1












          $begingroup$

          First of all, It seems to me that in the definition of $alpha$-strongly convex function should have a coefficient of $alpha$ but not $frac{alpha}{2}$.



          Now here goes the proof
          $$
          begin{aligned}
          frac{partial^2 f}{partial x_i partial_j} & = &frac{partial}{partial x_j}[log(x_i) + 1] \
          & = & left {
          begin{aligned}
          1/x_i quad text{if } i =j \
          0 quad text{if } i neq j
          end{aligned}
          right .
          end{aligned}
          $$



          Since $0<x_ileq M$, then $1/x_i geq 1/M$



          Thus $nabla^2 f geq frac{1}{M} I$, which is the theorem for $1/M$-strongly convex function.






          share|cite|improve this answer











          $endgroup$













          • $begingroup$
            I added two equivalent definition of $alpha$-strongly convex functions. In the last two lines $1/x_i geq 1/M$, $nabla^2 f geq 1/M$ and $1/M$ strongly convex.
            $endgroup$
            – Saeed
            Jan 17 at 20:05












          • $begingroup$
            you are right. It should be $1/M$ strongly convex.
            $endgroup$
            – MoonKnight
            Jan 17 at 21:53











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          1 Answer
          1






          active

          oldest

          votes








          1 Answer
          1






          active

          oldest

          votes









          active

          oldest

          votes






          active

          oldest

          votes









          1












          $begingroup$

          First of all, It seems to me that in the definition of $alpha$-strongly convex function should have a coefficient of $alpha$ but not $frac{alpha}{2}$.



          Now here goes the proof
          $$
          begin{aligned}
          frac{partial^2 f}{partial x_i partial_j} & = &frac{partial}{partial x_j}[log(x_i) + 1] \
          & = & left {
          begin{aligned}
          1/x_i quad text{if } i =j \
          0 quad text{if } i neq j
          end{aligned}
          right .
          end{aligned}
          $$



          Since $0<x_ileq M$, then $1/x_i geq 1/M$



          Thus $nabla^2 f geq frac{1}{M} I$, which is the theorem for $1/M$-strongly convex function.






          share|cite|improve this answer











          $endgroup$













          • $begingroup$
            I added two equivalent definition of $alpha$-strongly convex functions. In the last two lines $1/x_i geq 1/M$, $nabla^2 f geq 1/M$ and $1/M$ strongly convex.
            $endgroup$
            – Saeed
            Jan 17 at 20:05












          • $begingroup$
            you are right. It should be $1/M$ strongly convex.
            $endgroup$
            – MoonKnight
            Jan 17 at 21:53
















          1












          $begingroup$

          First of all, It seems to me that in the definition of $alpha$-strongly convex function should have a coefficient of $alpha$ but not $frac{alpha}{2}$.



          Now here goes the proof
          $$
          begin{aligned}
          frac{partial^2 f}{partial x_i partial_j} & = &frac{partial}{partial x_j}[log(x_i) + 1] \
          & = & left {
          begin{aligned}
          1/x_i quad text{if } i =j \
          0 quad text{if } i neq j
          end{aligned}
          right .
          end{aligned}
          $$



          Since $0<x_ileq M$, then $1/x_i geq 1/M$



          Thus $nabla^2 f geq frac{1}{M} I$, which is the theorem for $1/M$-strongly convex function.






          share|cite|improve this answer











          $endgroup$













          • $begingroup$
            I added two equivalent definition of $alpha$-strongly convex functions. In the last two lines $1/x_i geq 1/M$, $nabla^2 f geq 1/M$ and $1/M$ strongly convex.
            $endgroup$
            – Saeed
            Jan 17 at 20:05












          • $begingroup$
            you are right. It should be $1/M$ strongly convex.
            $endgroup$
            – MoonKnight
            Jan 17 at 21:53














          1












          1








          1





          $begingroup$

          First of all, It seems to me that in the definition of $alpha$-strongly convex function should have a coefficient of $alpha$ but not $frac{alpha}{2}$.



          Now here goes the proof
          $$
          begin{aligned}
          frac{partial^2 f}{partial x_i partial_j} & = &frac{partial}{partial x_j}[log(x_i) + 1] \
          & = & left {
          begin{aligned}
          1/x_i quad text{if } i =j \
          0 quad text{if } i neq j
          end{aligned}
          right .
          end{aligned}
          $$



          Since $0<x_ileq M$, then $1/x_i geq 1/M$



          Thus $nabla^2 f geq frac{1}{M} I$, which is the theorem for $1/M$-strongly convex function.






          share|cite|improve this answer











          $endgroup$



          First of all, It seems to me that in the definition of $alpha$-strongly convex function should have a coefficient of $alpha$ but not $frac{alpha}{2}$.



          Now here goes the proof
          $$
          begin{aligned}
          frac{partial^2 f}{partial x_i partial_j} & = &frac{partial}{partial x_j}[log(x_i) + 1] \
          & = & left {
          begin{aligned}
          1/x_i quad text{if } i =j \
          0 quad text{if } i neq j
          end{aligned}
          right .
          end{aligned}
          $$



          Since $0<x_ileq M$, then $1/x_i geq 1/M$



          Thus $nabla^2 f geq frac{1}{M} I$, which is the theorem for $1/M$-strongly convex function.







          share|cite|improve this answer














          share|cite|improve this answer



          share|cite|improve this answer








          edited Jan 17 at 21:53

























          answered Jan 17 at 18:13









          MoonKnightMoonKnight

          1,429611




          1,429611












          • $begingroup$
            I added two equivalent definition of $alpha$-strongly convex functions. In the last two lines $1/x_i geq 1/M$, $nabla^2 f geq 1/M$ and $1/M$ strongly convex.
            $endgroup$
            – Saeed
            Jan 17 at 20:05












          • $begingroup$
            you are right. It should be $1/M$ strongly convex.
            $endgroup$
            – MoonKnight
            Jan 17 at 21:53


















          • $begingroup$
            I added two equivalent definition of $alpha$-strongly convex functions. In the last two lines $1/x_i geq 1/M$, $nabla^2 f geq 1/M$ and $1/M$ strongly convex.
            $endgroup$
            – Saeed
            Jan 17 at 20:05












          • $begingroup$
            you are right. It should be $1/M$ strongly convex.
            $endgroup$
            – MoonKnight
            Jan 17 at 21:53
















          $begingroup$
          I added two equivalent definition of $alpha$-strongly convex functions. In the last two lines $1/x_i geq 1/M$, $nabla^2 f geq 1/M$ and $1/M$ strongly convex.
          $endgroup$
          – Saeed
          Jan 17 at 20:05






          $begingroup$
          I added two equivalent definition of $alpha$-strongly convex functions. In the last two lines $1/x_i geq 1/M$, $nabla^2 f geq 1/M$ and $1/M$ strongly convex.
          $endgroup$
          – Saeed
          Jan 17 at 20:05














          $begingroup$
          you are right. It should be $1/M$ strongly convex.
          $endgroup$
          – MoonKnight
          Jan 17 at 21:53




          $begingroup$
          you are right. It should be $1/M$ strongly convex.
          $endgroup$
          – MoonKnight
          Jan 17 at 21:53


















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