エクセンダールSDEもんだい3.14
Let be the filtration generated by the Brownian motion .
We see obviously that is -measurable if it is a random variable as in the assertion. Then we show the converse.
Suppose is -measurable. We now follow the hint: a)-c).
a) Define for . Then we see that a.s. If, for every , we have a sequence of bounded random variables which converges to in , taking an appropriate yields that .
Then let . We obtain
\begin{align*}
P(|h-g_n|>\varepsilon)
&\leq P(|h-h_n|>\varepsilon/2) + \frac{2E[|h_n-g_n|]}{\varepsilon} \\
&\leq P(|h-h_n|>\varepsilon/2) + \frac{2}{n\varepsilon}
\end{align*}
for . Since tends to as in probability, so does in probability. Thus must have an a.s. convergent subsequence with limit .
Then it suffices to construct a sequence of as in the assertion which converges to any bounded in .
b) We now show that
\begin{align*}
\mathcal{F}_t = \bigvee_{n=1}^\infty \mathcal{H}_n =: \mathcal{H} .
\end{align*}
For , take a sequence from converging to . Since and every is -measurable, is also -measurable. Thus, we see that . And then we get the inverse inclusion by definitions of and .
By Corollary C.9, it follows that a.s. and in .
c) By the Doob-Dynkin lemma (Lemma 2.1.2), we have
\begin{align*}
h_n = G_n(B_{t_1},\dots,B_{t_k}),
\end{align*}
where for . Since are bounded, we see that are also bounded.
Let be the set of all continuous functions , which are univariate functions and whose support are compact when regarding as ones .
We now consider the following:
Claim Any bounded function admits a sequence in the subabgebra generated by such that
\begin{align*}
& \sup_{j\geq 1,~ x\in\mathbb{R}^k}|F_j(x)|<\infty, \quad \lim_{j\to\infty} F_j \to G, \quad \text{a.e.}
\end{align*}
We prepare Lemma 1 and 2 before showing Claim.
Lemma 1 There exists a sequence in *1 such that for some independent of , and a.e.
Proof. Let for . Then every is in for under the Lebesgue measure and tends to a.e. as .
For , by density of in , one can take an -convergent sequence of with limit . Moreover, we may assume that
\begin{align*}
\sup_{x\in\mathbb{R}^k}|F^{(N)}_j(x)|\leq K:=\sup_{x\in\mathbb{R}^k}|G(x)|+1 \quad \text{for $j,N\in\mathbb{N}$}.
\end{align*}
Indeed, defining as
\begin{align*}
\tilde{F}^{(N)}_j(x) &=
\begin{cases}
K & ,\text{if $F^{(N)}_j(x)>K$}, \\
-K & ,\text{if $F^{(N)}_j(x)<-K$}, \\
F^{(N)}_j(x) & ,\text{otherwise},
\end{cases}
\end{align*}
leads that and
\begin{align*}
\int_{\mathbb{R}^k} |\tilde{F}^{(N)}_j(x)-G_N(x)|dx
&\leq \int_{\mathbb{R}^k} |F^{(N)}_j(x)-G_N(x)|dx,
\end{align*}
and then it follows that in . Then the same argument as in a) yields the assertion. □
Lemma 2 For , let be a dimensional compact rectangle containing the support of and let be the set of all continuous functions , . Then each admits a sequence of the subalgebra generated by such that . Furthermore, we can extend the domain of each to whole satisfying .
Proof. We refer to Miyajima [1], Theorem 7.65, for the Stone-Wierstrass theorem:
Theorem Let be a compact Hausdorff space and be a subset of . Then, the subabgebra generated by is dense in if and only if the following (1) and (2) hold:
(1) For any , there exists an such that .
(2) For any different , there exists an such that .
The theorem is stated in other books or media as well, e.g. [2-4].
It is clear that each satisfies (1) and (2) in the theorem. Thus, we see that the former holds.
Next, for the latter. We extend each of the domain of by putting the same values on , where , as ones on the boundary of along each axis (Fig. 1).
And then, rewrite as the product of the extended above and , where each is defined as in Fig. 2. Then we see that each of the extended is in the subalgebra generated by , which is defined before Claim, and . □
Proof of Claim. By Lemma 1 and 2, we may assume that and that , by renumbering if necessary. Then we have
\begin{align*}
|\tilde{F}^{(j)}_j(x)-G(x)|
&\leq |F_j(x)-G(x)| + \frac{1}{j} \\
& \to 0, \quad \text{as $j\to\infty$}
\end{align*}
almost everywhere. □
We are now back to showing the exercise. By Claim, there exists, for , a sequence in the subabgebra generated by converging to a.e. By the dominated convergence theorem, we see that as . Then as repeated above, we assume that
\begin{align*}
E[|G_n(B_{t_1},\dots,B_{t_k}) - F^{(n)}_n(B_{t_1},\dots,B_{t_k})|]\leq \frac{1}{n}.
\end{align*}
Then, letting yields
\begin{align*}
E[|h-F^{(n)}_n(B_{t_1},\dots,B_{t_k})|]
&\leq E[|h-h_n|] + \frac{1}{n} \\
&\quad \to 0.
\end{align*}
As mentioned in a), we constructed a desired convergent sequence. We complete the proof.
References
[1] Miyajima, S., Functional Analysis, Yokohama Publishers, 2007. In Japanese.
[2] Rudin, W., Functional Analysis, McGraw-Hill, 1991.
[3] Yosida, K., Functional Analysis, Springer, 1980.
[4] Wikipedia, Stone–Weierstrass theorem
Hmm, too heavy exercise...x(
*1:It denotes the space of all continuous functions with compact support.