If $E(X_n^2)<infty$, then for a Martingale $E(X_n^2)<M$ iff $sum_{n=1}^infty...
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Let ${X_n}_{ngeq0}$ be a martingale with $E(X_n^2)<infty$ for all $n$. How to prove that:
$E(X_n^2)<M$ for all $n$, if and only if $sum_{n=1}^infty E[(X_n-X_{n-1})^2]<infty$.
The hunch is to use the optional stopping time theorem, but it's hard to see how to apply it to the case. A tip is very much appreciated.
measure-theory martingales stopping-times
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add a comment |
$begingroup$
Let ${X_n}_{ngeq0}$ be a martingale with $E(X_n^2)<infty$ for all $n$. How to prove that:
$E(X_n^2)<M$ for all $n$, if and only if $sum_{n=1}^infty E[(X_n-X_{n-1})^2]<infty$.
The hunch is to use the optional stopping time theorem, but it's hard to see how to apply it to the case. A tip is very much appreciated.
measure-theory martingales stopping-times
$endgroup$
add a comment |
$begingroup$
Let ${X_n}_{ngeq0}$ be a martingale with $E(X_n^2)<infty$ for all $n$. How to prove that:
$E(X_n^2)<M$ for all $n$, if and only if $sum_{n=1}^infty E[(X_n-X_{n-1})^2]<infty$.
The hunch is to use the optional stopping time theorem, but it's hard to see how to apply it to the case. A tip is very much appreciated.
measure-theory martingales stopping-times
$endgroup$
Let ${X_n}_{ngeq0}$ be a martingale with $E(X_n^2)<infty$ for all $n$. How to prove that:
$E(X_n^2)<M$ for all $n$, if and only if $sum_{n=1}^infty E[(X_n-X_{n-1})^2]<infty$.
The hunch is to use the optional stopping time theorem, but it's hard to see how to apply it to the case. A tip is very much appreciated.
measure-theory martingales stopping-times
measure-theory martingales stopping-times
asked Dec 10 '18 at 23:07
DoleDole
907514
907514
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2 Answers
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It is in fact related to the quadratic variation process of $X_n$. Note that
$$
X_n^2 - sum_{k=0}^n E[(X_k-X_{k-1})^2;|mathcal{F}_{k-1}],quad ngeq0,
$$ is a ${mathcal{F}_n}$-martingale.
$endgroup$
$begingroup$
Very nice hints, certainly became manageable!
$endgroup$
– Dole
Dec 11 '18 at 1:50
add a comment |
$begingroup$
By the martingale property you can show
$$E[(X_n - X_{n-1})^2] = E[X_n^2] - E[X_{n-1}^2].$$
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2 Answers
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active
oldest
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2 Answers
2
active
oldest
votes
active
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active
oldest
votes
$begingroup$
It is in fact related to the quadratic variation process of $X_n$. Note that
$$
X_n^2 - sum_{k=0}^n E[(X_k-X_{k-1})^2;|mathcal{F}_{k-1}],quad ngeq0,
$$ is a ${mathcal{F}_n}$-martingale.
$endgroup$
$begingroup$
Very nice hints, certainly became manageable!
$endgroup$
– Dole
Dec 11 '18 at 1:50
add a comment |
$begingroup$
It is in fact related to the quadratic variation process of $X_n$. Note that
$$
X_n^2 - sum_{k=0}^n E[(X_k-X_{k-1})^2;|mathcal{F}_{k-1}],quad ngeq0,
$$ is a ${mathcal{F}_n}$-martingale.
$endgroup$
$begingroup$
Very nice hints, certainly became manageable!
$endgroup$
– Dole
Dec 11 '18 at 1:50
add a comment |
$begingroup$
It is in fact related to the quadratic variation process of $X_n$. Note that
$$
X_n^2 - sum_{k=0}^n E[(X_k-X_{k-1})^2;|mathcal{F}_{k-1}],quad ngeq0,
$$ is a ${mathcal{F}_n}$-martingale.
$endgroup$
It is in fact related to the quadratic variation process of $X_n$. Note that
$$
X_n^2 - sum_{k=0}^n E[(X_k-X_{k-1})^2;|mathcal{F}_{k-1}],quad ngeq0,
$$ is a ${mathcal{F}_n}$-martingale.
answered Dec 10 '18 at 23:15
SongSong
11.1k628
11.1k628
$begingroup$
Very nice hints, certainly became manageable!
$endgroup$
– Dole
Dec 11 '18 at 1:50
add a comment |
$begingroup$
Very nice hints, certainly became manageable!
$endgroup$
– Dole
Dec 11 '18 at 1:50
$begingroup$
Very nice hints, certainly became manageable!
$endgroup$
– Dole
Dec 11 '18 at 1:50
$begingroup$
Very nice hints, certainly became manageable!
$endgroup$
– Dole
Dec 11 '18 at 1:50
add a comment |
$begingroup$
By the martingale property you can show
$$E[(X_n - X_{n-1})^2] = E[X_n^2] - E[X_{n-1}^2].$$
$endgroup$
add a comment |
$begingroup$
By the martingale property you can show
$$E[(X_n - X_{n-1})^2] = E[X_n^2] - E[X_{n-1}^2].$$
$endgroup$
add a comment |
$begingroup$
By the martingale property you can show
$$E[(X_n - X_{n-1})^2] = E[X_n^2] - E[X_{n-1}^2].$$
$endgroup$
By the martingale property you can show
$$E[(X_n - X_{n-1})^2] = E[X_n^2] - E[X_{n-1}^2].$$
answered Dec 10 '18 at 23:11
angryavianangryavian
40.6k23380
40.6k23380
add a comment |
add a comment |
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