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world:forward-downward-martingale [2026/02/03 16:09] rdouc |
world:forward-downward-martingale [2026/02/07 15:03] (current) rdouc |
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| - | Let $U_n[a,b]$ denote the number of completed upcrossings from $a$ to $b$ between times $0$ and $n$. | + | Let $U_{0:n}[a,b]$ denote the number of completed upcrossings from $a$ to $b$ between times $0$ and $n$. |
| Then the following inequality holds: | Then the following inequality holds: | ||
| $$ | $$ | ||
| - | Y_n \ge (b-a)\,U_n[a,b] - (X_n-a)^-. | + | Y_n \ge (b-a)\,U_{0:n}[a,b] - (X_n-a)^-. |
| $$ | $$ | ||
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| Summing the contributions of all completed upcrossings and accounting for the final correction yields the stated inequality. ∎ | Summing the contributions of all completed upcrossings and accounting for the final correction yields the stated inequality. ∎ | ||
| - | ===== Theorem 2 (Doob's Forward Convergence Theorem) ===== | + | ===== Theorem 1 (Doob's Forward Convergence Theorem) ===== |
| <WRAP center round todo 80%> | <WRAP center round todo 80%> | ||
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| By the upcrossing inequality, for any $a<b$, | By the upcrossing inequality, for any $a<b$, | ||
| $$ | $$ | ||
| - | (b-a)\,\mathbb E[U_n[a,b]] | + | (b-a)\,\mathbb E[U_{0:n}[a,b]] |
| \le | \le | ||
| \mathbb E[Y_n] + \mathbb E[(X_n-a)^-]. | \mathbb E[Y_n] + \mathbb E[(X_n-a)^-]. | ||
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| The $L^1$ boundedness assumption implies that $\sup_n \mathbb E[(X_n-a)^-]<\infty$. | The $L^1$ boundedness assumption implies that $\sup_n \mathbb E[(X_n-a)^-]<\infty$. | ||
| - | Therefore, | + | By the monotone convergence theorem, |
| $$ | $$ | ||
| - | \sup_n \mathbb E[U_n[a,b]]<\infty, | + | \mathbb E[U_{0:\infty}[a,b]]<\infty, |
| $$ | $$ | ||
| which implies that the total number of upcrossings is almost surely finite. | which implies that the total number of upcrossings is almost surely finite. | ||
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| <WRAP center round todo 80%> | <WRAP center round todo 80%> | ||
| - | Let $(\mathcal G_{-n})_{n\ge1}$ be a decreasing sequence of $\sigma$-fields such that | + | Let $(\mathcal F_{-n})_{n\ge1}$ be a decreasing sequence of $\sigma$-fields such that |
| $$ | $$ | ||
| - | \mathcal G_{-\infty} | + | \mathcal F_{-\infty} |
| = | = | ||
| - | \bigcap_{k\ge1}\mathcal G_{-k} | + | \bigcap_{k\ge1}\mathcal F_{-k} |
| - | \subseteq \cdots \subseteq \mathcal G_{-(n+1)} \subseteq \mathcal G_{-n} \subseteq \cdots \subseteq \mathcal G_{-1}. | + | \subseteq \cdots \subseteq \mathcal F_{-(n+1)} \subseteq \mathcal F_{-n} \subseteq \cdots \subseteq \mathcal F_{-1}. |
| $$ | $$ | ||
| For any random variable $Z$ satisfying $\mathbb E[|Z|]<\infty$, we have | For any random variable $Z$ satisfying $\mathbb E[|Z|]<\infty$, we have | ||
| $$ | $$ | ||
| - | \lim_{n\to\infty}\mathbb E[Z\mid\mathcal G_{-n}] | + | \lim_{n\to\infty}\mathbb E[Z\mid\mathcal F_{-n}] |
| = | = | ||
| - | \mathbb E[Z\mid\mathcal G_{-\infty}] | + | \mathbb E[Z\mid\mathcal F_{-\infty}] |
| \quad\text{almost surely}. | \quad\text{almost surely}. | ||
| $$ | $$ | ||
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| Define the process | Define the process | ||
| $$ | $$ | ||
| - | X_k := \mathbb E[Z\mid\mathcal G_k], \qquad -n\le k\le -1. | + | X_k := \mathbb E[Z\mid\mathcal F_k], \qquad -n\le k\le -1. |
| $$ | $$ | ||
| This is a martingale bounded in $L^1$. | This is a martingale bounded in $L^1$. | ||
| - | Similarly as before, we define $C_1=\mathsf{1}_{X_{-n} < a}$ . For all $-n < k \leq -1$, we set $C_k=\mathsf{1}_{C_{k-1}=1} \mathsf{1}_{X_{k-1} \leq b}+ \mathsf{1}_{C_{k-1}=0} \mathsf{1}_{X_{k-1} <a}$. Define also $Y_k=\sum_{\ell=-n}^k C_\ell (X_\ell - X_{\ell-1})$. Then, for the same reasons, the number of upcrossing $U_n[a,b]$ between $-n$ and $-1$ can be bounded as follows: | + | Similarly as before, we define $C_1=\mathsf{1}_{X_{-n} < a}$ . For all $-n < k \leq -1$, we set $C_k=\mathsf{1}_{C_{k-1}=1} \mathsf{1}_{X_{k-1} \leq b}+ \mathsf{1}_{C_{k-1}=0} \mathsf{1}_{X_{k-1} <a}$. Define also $Y_k=\sum_{\ell=-n}^k C_\ell (X_\ell - X_{\ell-1})$. Then, for the same reasons, the number of upcrossing $U_{-n:-1}[a,b]$ between $-n$ and $-1$ can be bounded as follows: |
| $$ | $$ | ||
| - | Y_{-1} \geq (b-a) U_n[a,b] - (X_{-1}-a)^- | + | Y_{-1} \geq (b-a) U_{-n:-1}[a,b] - (X_{-1}-a)^- |
| $$ | $$ | ||
| As before, the integrability of $Z$ ensures that the expected number of upcrossings is finite, which implies that $(X_k)$ converges almost surely as $k\to-\infty$. | As before, the integrability of $Z$ ensures that the expected number of upcrossings is finite, which implies that $(X_k)$ converges almost surely as $k\to-\infty$. | ||
| - | The limit must coincide with $\mathbb E[Z\mid\mathcal G_{-\infty}]$, which completes the proof. ∎ | + | The limit must coincide with $\mathbb E[Z\mid\mathcal F_{-\infty}]$, which completes the proof. ∎ |
| + | |||
| + | [[?do=backlink|Linked pages]] | ||