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Constructing an $epsilon$-net of $l_2$ unit ball



The Next CEO of Stack Overflowcan I bound the following probability?Bounding the estimation error of flipped bit-vector sum using Chernoff boundBayesian posterior with truncated normal priorinequality for real-valued Gaussian sumsAverage distance between two points on a unit square.How to calculate the probability of this summation?Distribution of the output of additive white Gaussian channelFeasible region of probabilistic constraintThe point probability of a random variableBounding coefficients of a uniform unit vector projected in a basis










7












$begingroup$


I am interested in probabilistic or explicit ways to construct an $epsilon$-net of the $l_2$ unit ball in $mathbbR^d$.



I know that, for every $epsilon > 0$, there exists an $epsilon$-net $mathcalN_epsilon$ for the unit sphere in $d$ dimensions such that
$$
Mtriangleqleft|mathcalN_epsilonright|
le left( 1+frac2epsilonright)^d.
$$

(Lemma 5.2 in https://arxiv.org/abs/1011.3027)
To my understanding, the aforementioned bound holds for an $epsilon$-net of the entire ball, not only the sphere.



In the case of the sphere, we can construct an $epsilon$-net with high probability,
by drawing a sufficient number ($O(MlogM)$) of independent random vectors according to a Gaussian distribution $N(mathbf0, mathbfI)$, and normalizing the length to $1$.
I believe that one way to get an $epsilon$-net for the ball,
would be to repeat the above procedure $O(1/epsilon)$ times, for all spheres of radii $epsilon, 2epsilon,3epsilon, dots, 1$.
The union of the $epsilon$-nets, should be able to cover the ball.
However, it would require $tildeOleft((1+2/epsilon)^d+1right)$ points (ignoring the logarithmic factor).



  • Is there a simple way to construct an $epsilon$-net for the unit ball directly, $textiti.e.$, without constructing nets for multiple spheres?

  • Is there way to achieve the bound on $left|mathcalN_epsilonright|$ (possibly up to logarithmic factors)?

I would appreciate any pointers to either probabilistic or explicit methods.










share|cite|improve this question











$endgroup$
















    7












    $begingroup$


    I am interested in probabilistic or explicit ways to construct an $epsilon$-net of the $l_2$ unit ball in $mathbbR^d$.



    I know that, for every $epsilon > 0$, there exists an $epsilon$-net $mathcalN_epsilon$ for the unit sphere in $d$ dimensions such that
    $$
    Mtriangleqleft|mathcalN_epsilonright|
    le left( 1+frac2epsilonright)^d.
    $$

    (Lemma 5.2 in https://arxiv.org/abs/1011.3027)
    To my understanding, the aforementioned bound holds for an $epsilon$-net of the entire ball, not only the sphere.



    In the case of the sphere, we can construct an $epsilon$-net with high probability,
    by drawing a sufficient number ($O(MlogM)$) of independent random vectors according to a Gaussian distribution $N(mathbf0, mathbfI)$, and normalizing the length to $1$.
    I believe that one way to get an $epsilon$-net for the ball,
    would be to repeat the above procedure $O(1/epsilon)$ times, for all spheres of radii $epsilon, 2epsilon,3epsilon, dots, 1$.
    The union of the $epsilon$-nets, should be able to cover the ball.
    However, it would require $tildeOleft((1+2/epsilon)^d+1right)$ points (ignoring the logarithmic factor).



    • Is there a simple way to construct an $epsilon$-net for the unit ball directly, $textiti.e.$, without constructing nets for multiple spheres?

    • Is there way to achieve the bound on $left|mathcalN_epsilonright|$ (possibly up to logarithmic factors)?

    I would appreciate any pointers to either probabilistic or explicit methods.










    share|cite|improve this question











    $endgroup$














      7












      7








      7


      2



      $begingroup$


      I am interested in probabilistic or explicit ways to construct an $epsilon$-net of the $l_2$ unit ball in $mathbbR^d$.



      I know that, for every $epsilon > 0$, there exists an $epsilon$-net $mathcalN_epsilon$ for the unit sphere in $d$ dimensions such that
      $$
      Mtriangleqleft|mathcalN_epsilonright|
      le left( 1+frac2epsilonright)^d.
      $$

      (Lemma 5.2 in https://arxiv.org/abs/1011.3027)
      To my understanding, the aforementioned bound holds for an $epsilon$-net of the entire ball, not only the sphere.



      In the case of the sphere, we can construct an $epsilon$-net with high probability,
      by drawing a sufficient number ($O(MlogM)$) of independent random vectors according to a Gaussian distribution $N(mathbf0, mathbfI)$, and normalizing the length to $1$.
      I believe that one way to get an $epsilon$-net for the ball,
      would be to repeat the above procedure $O(1/epsilon)$ times, for all spheres of radii $epsilon, 2epsilon,3epsilon, dots, 1$.
      The union of the $epsilon$-nets, should be able to cover the ball.
      However, it would require $tildeOleft((1+2/epsilon)^d+1right)$ points (ignoring the logarithmic factor).



      • Is there a simple way to construct an $epsilon$-net for the unit ball directly, $textiti.e.$, without constructing nets for multiple spheres?

      • Is there way to achieve the bound on $left|mathcalN_epsilonright|$ (possibly up to logarithmic factors)?

      I would appreciate any pointers to either probabilistic or explicit methods.










      share|cite|improve this question











      $endgroup$




      I am interested in probabilistic or explicit ways to construct an $epsilon$-net of the $l_2$ unit ball in $mathbbR^d$.



      I know that, for every $epsilon > 0$, there exists an $epsilon$-net $mathcalN_epsilon$ for the unit sphere in $d$ dimensions such that
      $$
      Mtriangleqleft|mathcalN_epsilonright|
      le left( 1+frac2epsilonright)^d.
      $$

      (Lemma 5.2 in https://arxiv.org/abs/1011.3027)
      To my understanding, the aforementioned bound holds for an $epsilon$-net of the entire ball, not only the sphere.



      In the case of the sphere, we can construct an $epsilon$-net with high probability,
      by drawing a sufficient number ($O(MlogM)$) of independent random vectors according to a Gaussian distribution $N(mathbf0, mathbfI)$, and normalizing the length to $1$.
      I believe that one way to get an $epsilon$-net for the ball,
      would be to repeat the above procedure $O(1/epsilon)$ times, for all spheres of radii $epsilon, 2epsilon,3epsilon, dots, 1$.
      The union of the $epsilon$-nets, should be able to cover the ball.
      However, it would require $tildeOleft((1+2/epsilon)^d+1right)$ points (ignoring the logarithmic factor).



      • Is there a simple way to construct an $epsilon$-net for the unit ball directly, $textiti.e.$, without constructing nets for multiple spheres?

      • Is there way to achieve the bound on $left|mathcalN_epsilonright|$ (possibly up to logarithmic factors)?

      I would appreciate any pointers to either probabilistic or explicit methods.







      probability






      share|cite|improve this question















      share|cite|improve this question













      share|cite|improve this question




      share|cite|improve this question








      edited Mar 18 at 20:35









      Clement C.

      51k34093




      51k34093










      asked Nov 9 '14 at 20:57









      megasmegas

      1,801614




      1,801614




















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