Nature of Distribution of a Random Vector whose finite dimensional distributions and distribution of inner...











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I apologize if this question is vague or trivial. I have a random unit vector $mathbf u$ in $mathbb R^n$ and the following facts about it are true when $nto infty$:




  • $u_i to mathcal N(0,1)$ in distribution as $ntoinfty$
  • for all $i$
  • For any finite $k,$ $u_{i_1},u_{i_2}..ldots u_{i_k} to mathcal N(0,mathbf I_k)$ in distribution as $ntoinfty$

  • For any sequence of unit deterministic vectors $mathbf a_n,$ $mathbf a^T mathbf u to mathcal N(0,1)$ in distibution as $ntoinfty$


Now I am having a hard time saying anything about the distribution of $mathbf u$ as a whole. Is it close some how to $mathcal N(0,mathbf I_n)$ for a large enough $n$? Can we it converges to the latter in distribution. Is it possible to say something about the difference $|mathbf v - mathbf z|_2$ where $mathbf z$ is some realization of the standard gaussian vector?










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  • Could you be more precise about your "unit deterministic vector" clause? What tends to infinity there?
    – kimchi lover
    Nov 14 at 15:42










  • @kimchilover Sorry, in each case n goes to infinity. To be more precise a is a sequence of unit vectors ...
    – Arun
    Nov 14 at 16:42

















up vote
1
down vote

favorite












I apologize if this question is vague or trivial. I have a random unit vector $mathbf u$ in $mathbb R^n$ and the following facts about it are true when $nto infty$:




  • $u_i to mathcal N(0,1)$ in distribution as $ntoinfty$
  • for all $i$
  • For any finite $k,$ $u_{i_1},u_{i_2}..ldots u_{i_k} to mathcal N(0,mathbf I_k)$ in distribution as $ntoinfty$

  • For any sequence of unit deterministic vectors $mathbf a_n,$ $mathbf a^T mathbf u to mathcal N(0,1)$ in distibution as $ntoinfty$


Now I am having a hard time saying anything about the distribution of $mathbf u$ as a whole. Is it close some how to $mathcal N(0,mathbf I_n)$ for a large enough $n$? Can we it converges to the latter in distribution. Is it possible to say something about the difference $|mathbf v - mathbf z|_2$ where $mathbf z$ is some realization of the standard gaussian vector?










share|cite|improve this question
























  • Could you be more precise about your "unit deterministic vector" clause? What tends to infinity there?
    – kimchi lover
    Nov 14 at 15:42










  • @kimchilover Sorry, in each case n goes to infinity. To be more precise a is a sequence of unit vectors ...
    – Arun
    Nov 14 at 16:42















up vote
1
down vote

favorite









up vote
1
down vote

favorite











I apologize if this question is vague or trivial. I have a random unit vector $mathbf u$ in $mathbb R^n$ and the following facts about it are true when $nto infty$:




  • $u_i to mathcal N(0,1)$ in distribution as $ntoinfty$
  • for all $i$
  • For any finite $k,$ $u_{i_1},u_{i_2}..ldots u_{i_k} to mathcal N(0,mathbf I_k)$ in distribution as $ntoinfty$

  • For any sequence of unit deterministic vectors $mathbf a_n,$ $mathbf a^T mathbf u to mathcal N(0,1)$ in distibution as $ntoinfty$


Now I am having a hard time saying anything about the distribution of $mathbf u$ as a whole. Is it close some how to $mathcal N(0,mathbf I_n)$ for a large enough $n$? Can we it converges to the latter in distribution. Is it possible to say something about the difference $|mathbf v - mathbf z|_2$ where $mathbf z$ is some realization of the standard gaussian vector?










share|cite|improve this question















I apologize if this question is vague or trivial. I have a random unit vector $mathbf u$ in $mathbb R^n$ and the following facts about it are true when $nto infty$:




  • $u_i to mathcal N(0,1)$ in distribution as $ntoinfty$
  • for all $i$
  • For any finite $k,$ $u_{i_1},u_{i_2}..ldots u_{i_k} to mathcal N(0,mathbf I_k)$ in distribution as $ntoinfty$

  • For any sequence of unit deterministic vectors $mathbf a_n,$ $mathbf a^T mathbf u to mathcal N(0,1)$ in distibution as $ntoinfty$


Now I am having a hard time saying anything about the distribution of $mathbf u$ as a whole. Is it close some how to $mathcal N(0,mathbf I_n)$ for a large enough $n$? Can we it converges to the latter in distribution. Is it possible to say something about the difference $|mathbf v - mathbf z|_2$ where $mathbf z$ is some realization of the standard gaussian vector?







probability-theory weak-convergence






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edited Nov 17 at 18:08

























asked Nov 14 at 15:22









Arun

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  • Could you be more precise about your "unit deterministic vector" clause? What tends to infinity there?
    – kimchi lover
    Nov 14 at 15:42










  • @kimchilover Sorry, in each case n goes to infinity. To be more precise a is a sequence of unit vectors ...
    – Arun
    Nov 14 at 16:42




















  • Could you be more precise about your "unit deterministic vector" clause? What tends to infinity there?
    – kimchi lover
    Nov 14 at 15:42










  • @kimchilover Sorry, in each case n goes to infinity. To be more precise a is a sequence of unit vectors ...
    – Arun
    Nov 14 at 16:42


















Could you be more precise about your "unit deterministic vector" clause? What tends to infinity there?
– kimchi lover
Nov 14 at 15:42




Could you be more precise about your "unit deterministic vector" clause? What tends to infinity there?
– kimchi lover
Nov 14 at 15:42












@kimchilover Sorry, in each case n goes to infinity. To be more precise a is a sequence of unit vectors ...
– Arun
Nov 14 at 16:42






@kimchilover Sorry, in each case n goes to infinity. To be more precise a is a sequence of unit vectors ...
– Arun
Nov 14 at 16:42

















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