Perturbation of Rademacher average












1












$begingroup$


Given a set of vectors, $Asubset R^n$, we define



$R(A) = frac{1}{N} mathbb{E}_sigma left[ sup_{ain A} sum_{i=1}^Nsigma_i a_iright]$,



where $sigma$ is Rademacher random variable such that $P(sigma=1) =P(sigma =-1) =frac{1}{2}$. Also, define



$tilde{R}(A) = frac{1}{N} mathbb{E}_sigma left[ sup_{ain A} betasigma_1a_1+sum_{i=2}^Nsigma_i a_iright]$,



where $beta ge 1$. If we further assume that for any $ain A$, we also have $-a in A$. Then, I was wondering, if we can prove



$tilde{R}(A) ge R(A)$?



Thanks!










share|cite|improve this question









$endgroup$

















    1












    $begingroup$


    Given a set of vectors, $Asubset R^n$, we define



    $R(A) = frac{1}{N} mathbb{E}_sigma left[ sup_{ain A} sum_{i=1}^Nsigma_i a_iright]$,



    where $sigma$ is Rademacher random variable such that $P(sigma=1) =P(sigma =-1) =frac{1}{2}$. Also, define



    $tilde{R}(A) = frac{1}{N} mathbb{E}_sigma left[ sup_{ain A} betasigma_1a_1+sum_{i=2}^Nsigma_i a_iright]$,



    where $beta ge 1$. If we further assume that for any $ain A$, we also have $-a in A$. Then, I was wondering, if we can prove



    $tilde{R}(A) ge R(A)$?



    Thanks!










    share|cite|improve this question









    $endgroup$















      1












      1








      1





      $begingroup$


      Given a set of vectors, $Asubset R^n$, we define



      $R(A) = frac{1}{N} mathbb{E}_sigma left[ sup_{ain A} sum_{i=1}^Nsigma_i a_iright]$,



      where $sigma$ is Rademacher random variable such that $P(sigma=1) =P(sigma =-1) =frac{1}{2}$. Also, define



      $tilde{R}(A) = frac{1}{N} mathbb{E}_sigma left[ sup_{ain A} betasigma_1a_1+sum_{i=2}^Nsigma_i a_iright]$,



      where $beta ge 1$. If we further assume that for any $ain A$, we also have $-a in A$. Then, I was wondering, if we can prove



      $tilde{R}(A) ge R(A)$?



      Thanks!










      share|cite|improve this question









      $endgroup$




      Given a set of vectors, $Asubset R^n$, we define



      $R(A) = frac{1}{N} mathbb{E}_sigma left[ sup_{ain A} sum_{i=1}^Nsigma_i a_iright]$,



      where $sigma$ is Rademacher random variable such that $P(sigma=1) =P(sigma =-1) =frac{1}{2}$. Also, define



      $tilde{R}(A) = frac{1}{N} mathbb{E}_sigma left[ sup_{ain A} betasigma_1a_1+sum_{i=2}^Nsigma_i a_iright]$,



      where $beta ge 1$. If we further assume that for any $ain A$, we also have $-a in A$. Then, I was wondering, if we can prove



      $tilde{R}(A) ge R(A)$?



      Thanks!







      probability probability-theory rademacher-distribution






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      share|cite|improve this question











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      share|cite|improve this question










      asked Jan 16 at 23:42









      user3138073user3138073

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