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Stochastic ordinary and partial differential equations generalize the concepts of ordinary and partial differential equations to the setting where the unknown is a stochastic process.
1
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1
answer
753
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Feller property for Ito diffusion with Lipschitz coefficients
Consider the following Ito diffusion $X_t$ satisfying
$$dX_t=b(X_t)dt+\sigma(X_t)dB_t,\quad X_0=x\in \mathbb{R}^n,$$
with Lipschitz coefficients $b,\sigma$.
It can be shown that if $g$ is bounded a …
1
vote
1
answer
79
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relationship between transition semigroup and first order spatial derivative
In my research, all the proof comes down to an estimate of the following term
$$\int_t^{t+h} E|\partial_x P_{t+h-\tau}f(X_\tau)-P_{t+h-\tau}\partial_xf(X_\tau)|^2\,d\tau,\tag{1}$$
where $t>0$ is fixe …
1
vote
1
answer
251
views
Show an SDE's solution has positive probability to visit every set in the state space
Let $(\Omega, \mathcal{F},\mathbb{P})$ be a filtered probability space, let $b:[0,T]\times \mathbb{R}^n\to \mathbb{R}^n$ be a continuous function and Lipschitz continuous in the space variable. For e …
2
votes
1
answer
219
views
Implicit function theorem for stochastic differential equation
For each $\theta\in \mathbb{R}$,
we consider a stochastic differential equation (SDE):
$$
d X_t =b(t,X_t,\theta)dt+\sigma dW_t,\; t\in [0,T];\quad X_0=x_0\in \mathbb{R},
$$
where $\sigma\ge 0$ and th …
1
vote
1
answer
367
views
Approximate an exponential martingale through its kernel
Given a deterministic function $h\in L^2([0,T]; \mathbb{R})$, we can define the associated exponential martingale
\begin{align}
M_t = \exp\left[\int_{0}^{t} h_s \,dB_s - \frac{1}{2}\int_{0}^{t} h_s^2 …
1
vote
1
answer
357
views
SDE with non-degenerate diffusion visits every point
I am asking an extension of the question here for SDEs of the Ito form.
Consider the SDE $dX_t =\sigma(X_t) dW_t$, where $W$ is a $d$-dimensional Brownian motion and $\sigma:\mathbb{R}^n\to \mathbb{R …
5
votes
1
answer
812
views
Transition semigroup of Ito diffusion on $L^2(\mathbb{R})$
I am considering the transition semigroup $P_t$ associated with the Ito diffusion process
$$dX_t=b(X_t)dt+\sigma(X_t)dB_t,$$
where the coefficients are assumed to be Lipschitz continuous.
I hope to k …