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A stochastic process is a collection of random variables usually indexed by a totally ordered set.

2 votes
0 answers
137 views

Lebesgue Integral in SDE

In the context of proving existence of solutions of S(P)DEs, I've found that few (if any) texts offer significant mention to the deterministic drift term of the form $$ \int_0^t f(s,X(s))ds. $$ If we …
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1 vote
0 answers
90 views

Da Prato's notion of Symmetric Operator

For anyone who's familiar with G. Da Prato's books on infinite dimensional analysis, I was wondering if someone could clarify something. In, for instance, "An Introduction to Infinite Dimensional Ana …
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3 votes
0 answers
88 views

Generators and Covariance Operators of Diffusions

For a constant coefficient Ornstein-Uhlenbeck process, how should I think about the relationship between the infinitesimal generator of the process and the covariance operator of the process (or, equi …
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1 vote
0 answers
400 views

Quadratic Variation of a Martingale in Hlibert Spaces

I'm looking at a Martingale (actually a Martingale difference sequence), $$ M_n = \sum \delta M_n, $$ and I'd like to prove something about convergence. If Martingale is Hilbert space valued (infini …
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1 vote
0 answers
57 views

Choice of Banach space for stochastic processes

In studying $X$ (Banach space) valued stochastic processes, I tend to see two different norms used: $$ \sup_{t\leq T} \mathbb{E}[\|u(t)\|_{X}^p]^{1/p} $$ and $$ \mathbb{E}[\sup_{t\leq T} \|u(t)\|_X^p] …
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2 votes
1 answer
732 views

Properties of Cameron Martin Space

In the case that I'm working with a separable Hilbert space, $H$, on which I have a trace class operator, $K$, that's coming from a Gaussian (i.e., $K$ is self-adjoint, and for simplicity, has trivial …
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5 votes
2 answers
909 views

Analytic Solution to SDEs

Are there any example of SDEs with constant diffusion terms, other than the Ornstein Uhlenbeck process, which have exact solutions? I'm thinking of something of the form: \begin{equation} dX_t = f(X_ …
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