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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.
3
votes
1
answer
252
views
inhomogeneous Ornstein-Ulhenbeck process / invariant probability measure
Let $\gamma$ be a continuous function from $\mathbb{R}^+$ to $\mathbb{R}^+$ and consider the real valued inhomogeneous Ornstein-Uhlenbeck process satisfying
$$
d X_t = -\gamma_t X_t d t + d W_t, \qua …
1
vote
0
answers
44
views
numerical scheme for SDE and empirical estimation of rate of convergence
Consider $\{X_t , t \geq 0 \}$ real valued diffusion satisfying
$$
d X_t = b(X_t) d t + \sigma (X_t) d W_t, \quad X_0 = x \in \mathbb{R}
$$
where $b, \sigma$ are well-behaved functions and $W$ is a r …
2
votes
0
answers
153
views
probabilistic interpretation of a finite difference scheme
Let me start with some simple background.
Consider the heat equation :
$
\frac{\partial p}{ \partial t} = \frac{1}{2} \frac{\partial^2 p}{\partial y^2} \quad \mbox{in} \quad \mathbb{R}\times (0,\in …
4
votes
1
answer
380
views
Hitting time of an Ornstein-Ulhenbeck process
If we consider a nice Ornstein-Uhlenbeck process
$d x (t) = - \gamma x(t) \,dt + \sigma \,d w (t)$
with $x(0) = x_0 \in (-L,L)$.
Here $\gamma, \sigma$ are positive constants and $w(t)$ is a Wiener pro …