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?
probability-theory weak-convergence
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up vote
1
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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?
probability-theory weak-convergence
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
add a comment |
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?
probability-theory weak-convergence
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
probability-theory weak-convergence
edited Nov 17 at 18:08
asked Nov 14 at 15:22
Arun
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1275
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
add a comment |
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
add a comment |
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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