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A stochastic process is a collection of random variables usually indexed by a totally ordered set.
2
votes
0
answers
91
views
Ergodicity in Césaro mean : deterministic and stochastic cases
Let $\{ X_t, t \geq 0 \}$ be a $\mathbb{R}^d$-valued stochastic process on a probability space $(\Omega, \mathcal{F}, \mathbb{P})$.
Assumption
$X_t$ is a regenerative process in the sense of https …
3
votes
0
answers
178
views
Most probable path for stochastic Hamiltonian systems
It is known that for a real valued stochastic process $X_t$ satisfying
$$
d X_t = b(X_t) d t + \sigma d W_t
$$
where $W$ is real valued Wiener process, the equation for the most probable path from …
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 …
1
vote
Langevin equation with position-dependant damping: existence of an invariant measure?
Here $q$ is the position and $p$ is the velocity.
Let me take $a = \sqrt{2}$ and define $H(q,p) = \frac{q^2+p^2}{2}$.
case 1 - b is a constant.
We agree on the fact that the generator $L$ of $(q(t) …
3
votes
0
answers
162
views
probabilistic interpretation of elliptic equation with mixed boundary condition
I would like to understand the probabilistic interpretation of the following elliptic problem with mixed Dirichlet-Neumann boundary conditions:
Let $B := \{ x \in \mathbb{R}^n, \quad \| x \|_2 \leq 1 …