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Stochastic calculus provides a consistent theory of integration for stochastic processes and is used to model random systems. Its applications range from statistical physics to quantitative finance.
3
votes
0
answers
87
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Doubt when calculating the S-transform of Hida differential operator
Assume we have a Hida test function $\varphi\in (\mathcal S)$, and $y\in \mathcal S'(\mathbb R)$. Define the Gateaux directional derivative of $\varphi$ (in the direction of $y$) by:
$$D_y\varphi(x):= …
3
votes
1
answer
246
views
Question regarding the Wick tensor in white noise analysis
I have a question regarding the definition of Wick tensor in the framework of the white noise analysis.
To put some context to the question we start with the following Gel'fand triple
$$S(\mathbb R)\ …
0
votes
0
answers
254
views
Question regarding Ito representation theorem
Let $H$ be a Gaussian Hilbert space and $H^{:n:}$ be the homogeneous chaos of order $n$.
and let $D_n:=\{(t_1,\cdots,t_n):t_1<t_2<\cdots <t_n\}$.
For each $n\geq 0$ there exists an isometry
\begin{ali …
2
votes
0
answers
135
views
On the difference between Malliavin derivative and Gross-Sobolev derivative
Let $W=C_0([0,1],\mathbb R^d)$ be the classical Wiener space equipped with $\mu$ the Wiener measure.
If $F:W\to\mathbb R$ is a cylindrical function of the form
\begin{align*}
F(w)=f(W_{t_1}(w),\cdots, …
1
vote
0
answers
43
views
Normalization of exponential in the context of Feynman integrals from a White noise perspective
I apologize in advance if this question is not suitable for MO (please let me know), but the fact is that since I am not familiar with the theory of Feynman integrals I don't know whether this is a tr …
10
votes
2
answers
2k
views
Show that this process is not a martingale
I am cross-posting this question from MSE since I did not received any answer, furthermore I tried asking some professors in my university but still we could not find an answer.
The most surprising th …
2
votes
0
answers
47
views
Continuity of translation operator in fractional white noise analysis
Fix $H\in(\frac{1}{2},1)$, and let $\Omega:=C_0([0,T],\mathbb R^d)$ be the space of $\mathbb R^d$-valued continuous functions. There is a probability measure $P^H$ on $(\Omega,\mathcal B(\Omega))$, s …
2
votes
2
answers
233
views
Reference request (Brownian local time): for fixed $t$, $a\mapsto L_a(t)$ is a.s. continuous...
So the title is quite self explanatory.
In the book "Continuous Martingales and Brownian Motion" by Rebuz and Yor, in the proof of Proposition $(2.1)$ of chapter XIII it's stated that:
For fixed $t$ …