Almost sure convergence of quadratic form x'Ax
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Let $x_n$ be an $ntimes 1$ vector of random variables, and $A_n=(a_{ij,n})$ be an $ntimes n$ constant matrix. Suppose that $n^{-1}x_n'x_n$ converges almost surely to some limit as $nrightarrow infty$. What conditions are needed for $A_n$ in order to establish almost sure converge of $n^{-1}x_n'A_nx_n$?
probability-theory convergence probability-limit-theorems strong-convergence
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add a comment |
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Let $x_n$ be an $ntimes 1$ vector of random variables, and $A_n=(a_{ij,n})$ be an $ntimes n$ constant matrix. Suppose that $n^{-1}x_n'x_n$ converges almost surely to some limit as $nrightarrow infty$. What conditions are needed for $A_n$ in order to establish almost sure converge of $n^{-1}x_n'A_nx_n$?
probability-theory convergence probability-limit-theorems strong-convergence
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The notation is confusing, because $A$ and $x$ aren't a particular matrix and vector, but apparently a sequence of different matrices and vectors depending on $n$. Please clarify.
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– Robert Israel
Jan 22 at 19:53
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Thanks Robert. I have edited the question.
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– Tina
Jan 22 at 19:59
add a comment |
$begingroup$
Let $x_n$ be an $ntimes 1$ vector of random variables, and $A_n=(a_{ij,n})$ be an $ntimes n$ constant matrix. Suppose that $n^{-1}x_n'x_n$ converges almost surely to some limit as $nrightarrow infty$. What conditions are needed for $A_n$ in order to establish almost sure converge of $n^{-1}x_n'A_nx_n$?
probability-theory convergence probability-limit-theorems strong-convergence
$endgroup$
Let $x_n$ be an $ntimes 1$ vector of random variables, and $A_n=(a_{ij,n})$ be an $ntimes n$ constant matrix. Suppose that $n^{-1}x_n'x_n$ converges almost surely to some limit as $nrightarrow infty$. What conditions are needed for $A_n$ in order to establish almost sure converge of $n^{-1}x_n'A_nx_n$?
probability-theory convergence probability-limit-theorems strong-convergence
probability-theory convergence probability-limit-theorems strong-convergence
edited Jan 22 at 19:57
Tina
asked Jan 22 at 19:46
TinaTina
789
789
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The notation is confusing, because $A$ and $x$ aren't a particular matrix and vector, but apparently a sequence of different matrices and vectors depending on $n$. Please clarify.
$endgroup$
– Robert Israel
Jan 22 at 19:53
$begingroup$
Thanks Robert. I have edited the question.
$endgroup$
– Tina
Jan 22 at 19:59
add a comment |
$begingroup$
The notation is confusing, because $A$ and $x$ aren't a particular matrix and vector, but apparently a sequence of different matrices and vectors depending on $n$. Please clarify.
$endgroup$
– Robert Israel
Jan 22 at 19:53
$begingroup$
Thanks Robert. I have edited the question.
$endgroup$
– Tina
Jan 22 at 19:59
$begingroup$
The notation is confusing, because $A$ and $x$ aren't a particular matrix and vector, but apparently a sequence of different matrices and vectors depending on $n$. Please clarify.
$endgroup$
– Robert Israel
Jan 22 at 19:53
$begingroup$
The notation is confusing, because $A$ and $x$ aren't a particular matrix and vector, but apparently a sequence of different matrices and vectors depending on $n$. Please clarify.
$endgroup$
– Robert Israel
Jan 22 at 19:53
$begingroup$
Thanks Robert. I have edited the question.
$endgroup$
– Tina
Jan 22 at 19:59
$begingroup$
Thanks Robert. I have edited the question.
$endgroup$
– Tina
Jan 22 at 19:59
add a comment |
1 Answer
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We may as well assume $A_n$ are symmetric, since $x' A x$ depends only on $A + A'$. A sufficient condition is that the maximum and minimum eigenvalues of $A_n$ both approach the same limit as $n to infty$. Conversely, if this is not the case we can construct (non-random) $x_n$ such that $n^{-1} x_n' x_n$ converges but $n^{-1} x_n' A_n x_n$ does not.
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1 Answer
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1 Answer
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active
oldest
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$begingroup$
We may as well assume $A_n$ are symmetric, since $x' A x$ depends only on $A + A'$. A sufficient condition is that the maximum and minimum eigenvalues of $A_n$ both approach the same limit as $n to infty$. Conversely, if this is not the case we can construct (non-random) $x_n$ such that $n^{-1} x_n' x_n$ converges but $n^{-1} x_n' A_n x_n$ does not.
$endgroup$
add a comment |
$begingroup$
We may as well assume $A_n$ are symmetric, since $x' A x$ depends only on $A + A'$. A sufficient condition is that the maximum and minimum eigenvalues of $A_n$ both approach the same limit as $n to infty$. Conversely, if this is not the case we can construct (non-random) $x_n$ such that $n^{-1} x_n' x_n$ converges but $n^{-1} x_n' A_n x_n$ does not.
$endgroup$
add a comment |
$begingroup$
We may as well assume $A_n$ are symmetric, since $x' A x$ depends only on $A + A'$. A sufficient condition is that the maximum and minimum eigenvalues of $A_n$ both approach the same limit as $n to infty$. Conversely, if this is not the case we can construct (non-random) $x_n$ such that $n^{-1} x_n' x_n$ converges but $n^{-1} x_n' A_n x_n$ does not.
$endgroup$
We may as well assume $A_n$ are symmetric, since $x' A x$ depends only on $A + A'$. A sufficient condition is that the maximum and minimum eigenvalues of $A_n$ both approach the same limit as $n to infty$. Conversely, if this is not the case we can construct (non-random) $x_n$ such that $n^{-1} x_n' x_n$ converges but $n^{-1} x_n' A_n x_n$ does not.
answered Jan 22 at 20:17
Robert IsraelRobert Israel
325k23215469
325k23215469
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$begingroup$
The notation is confusing, because $A$ and $x$ aren't a particular matrix and vector, but apparently a sequence of different matrices and vectors depending on $n$. Please clarify.
$endgroup$
– Robert Israel
Jan 22 at 19:53
$begingroup$
Thanks Robert. I have edited the question.
$endgroup$
– Tina
Jan 22 at 19:59